{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Time Series and Tabular Data","metadata":{}},{"cell_type":"markdown","source":"### Table of Conent","metadata":{}},{"cell_type":"markdown","source":"* Section 1. Introduction <br/>\n<br/>\n* Section 2. Financial Data Techniques\n    * Section 2.1 Financial Data Feature Engineering Techniques\n    * Section 2.2 Financial Data Cross Validation\n    * Section 2.3 Financial Data Modeling Techniques<br/>\n<br/>\n* Section 3. Sports Data Modeling Techniques<br/>\n* Section 4. Healthcare Data Techniques\n    * Section 4.1 Healthcare Data Feature Engineering Techniques\n    * Section 4.2 Healthcare Data Modeling Techniques<br/>\n<br/>\n* Section 5. Nature Science Data Techniques\n    * Section 5.1 Nature Science Data Feature Engineering Techniques\n    * Section 5.2 Nature Science Data Modeling Techniques<br/>\n<br/>\n* Section 6. Recommendation System and Other Data Techniques\n    * Section 6.1 Recommendation System and Other Data Feature Engineering Techniques\n    * Section 6.2 Recommendataion System and Other Data Modeling Techniques<br/>\n<br/>\n* Section 7. State of the Art: Transformer vs MLP Architecture for Time Series Data\n    * Section 7.1 Transformer-based Models\n    * Section 7.2 MLP-based Models\n<br/><br/>\n* Section 8. Conclusion<br/>\n<br/>\n* References\n* Acknowledgement","metadata":{}},{"cell_type":"markdown","source":"### Section 1. Introduction","metadata":{}},{"cell_type":"markdown","source":"Over the past 2 years, Kaggle community has been able to learn a tremendous amount of knowledge through around 60 competitions. In fact, Kaggle has been the platform where people from diverse background come together and exchange state-of-the-art machine learning knowledge with each other, and Kaggle has been able to keep so many people up-to-date with current developement of AI models. In this report, we will only focus on time series and tabular data, as we would like to shed some light on how state-of-the-art language and computer vision models are applied to a more traditional type of data. We will be discussing some interesting feature engineering and modeling techniques of various outperformers of competitions applied to time series and tabular data, as the goal of the AI-report competition is to summarize what the Kaggle community has learned over the past 2 years. As the most Kaggle's tabular/time series data competitions focus on supervised learning, we will focus on the setting where we have one target variable and multiple independent variables by the definition of supervised learning. The links to the competitions and their datasets can be found in the reference section if the audience is interested in learning more about certain competitions after reading our report.<br/> \n<br/>\nWe have been witnessing some very interesting feature engineering techniques applied in several natural science data competitions, such as dimension reduction techniques applied to cell data in the \"Open Problems - Multimodal Single-Cell Integration\" competition and three dimensional representation of proteins in the \"Novozymes Enzyme Stability Prediction\" competition. While in some fields such as healthcare and nature science, more modern machine learning techniques, such as transformer-based models, graph neural networks and EdgeConv, are being applied, LightGBM remains the main stream model in some other fields such as finance, sports and recommendation system. In the following sections, whenever we encounter a model we have not yet discussed, we will describe the model briefly using plain and understandable language for the audience who is relatively new to the exciting field of machine learning and provide readers a more holistic picture about which models could be applied to what kind of datasets. In addition, we will discuss the intuitions and reasoning behind some feature engineering and modeling techniques. To conlude, we will discuss some state-of-the-art machine learning models developed in academia for time series data, which are not yet utilized in the winning strategies of Kaggle competitions, to add the last piece to the puzzle. We will explain some of the novel models using plain language for the broad audience and shed some light on why they are not yet deployed by the competitions' outperformers. <br/>\n","metadata":{}},{"cell_type":"markdown","source":"### Section 2. Financial Data Techniques","metadata":{}},{"cell_type":"markdown","source":"##### Section 2.1 Financial Data Feature Engineering Techniques","metadata":{}},{"cell_type":"markdown","source":"The first data type we will discuss is financial data. Most financial data competitions over the past 2 years involve predicting subsequent price returns or volatilities. \"American Express - Default Prediction\" is the only exception. In one of the winning strategies of that competition, for categorical data, functions such as mean, standard deviation, sum and last are applied to onehot-coded time-series features within the lookback window (6). For numeric features, similar functions are applied to raw, differenced, user-based ranked and month-based ranked numeric features. In another winning strategy, number of unique observations, median, exponential weighted moving average, flag for monotonic increasing, mode, top outlier and bottom outlier for time series data are used as additional features (7). All those created features are used to capture recent development of numeric/categorical predictors. Lags for differencing range from 1 to 11 and normalization is applied to all features.","metadata":{}},{"cell_type":"markdown","source":"Let us now discuss the more common type of financial data competition, namely price/volatility prediction. In one of the winning strategies of the \"Optiver Realized Volatility Prediction\" competition, by observing the average number of time-ids per day, one can gauge how the volatility data is generated by knowing the trading hours (1). By applying adversarial validation, for features which change significantly over time, ranks within the same time-id block are used to mitigate the effect of outliers. Log function is applied to features which have large skew. One interesting feature engineering technique deployed by the winning model is to use the realized volatilities of the same stock when the market had similar prices, volatilities and trading volumes and the realized volatilities from similar stocks (i.e. highly correlated with the target stock) with similar prices and volumes as additional predictors. The success of those predictors shows that similar financial environments tend to cause similar volatility movements. In the \"G-Research Crypto Forecasting\" competition, even though a wide range of diverse data is provided by the host, one winning strategy is to only use \"Close\" prices (2). In addition, that strategy calculates the differences between individual currency changes and the average change across currencies within the lookback window and the differences between the current currency value and the moving average of its own values within the lookback window as additional features. This shows cryptocurrencies' overall market movement tends to have an impact on individual currencies.","metadata":{}},{"cell_type":"markdown","source":"In the \"Ubiquant Market Prediction\" competition, average values of those predictors which are highly correlated with the target variable within a time block are used as additional features in one of the winning strategies (4). The effect of features is validated through cross validation techniques such as PurgedGroupTimeSeries and TimeSeriesSplit. When dealing with financial data, it is important to avoid look-ahead bias when performing cross validation. Finally, \"JPX Tokyo Stock Exchange Prediction\" showcases the limited effectiveness of machine learning models in predicting stock price returns. One of the winning strategies uses previous day's returns and expected dividends as the only features to rank stocks and no ML models is employed (5).","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:image.png)","metadata":{},"attachments":{"image.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"##### Section 2.2 Financial Data Cross Validation","metadata":{}},{"cell_type":"markdown","source":"When analyzing financial data, cross validation is used not only to filter for relevant features, but also to tune hyperparameters of the model used. In (7) (\"American Express - Default Prediction\"), five fold cross validation is used while tracking ROC AUC (true positive rate vs false positive rate). Based on LightGBM, zero importance features are dropped. LightGBM will be introduced in the next subsection. Then a technique called stepped hierarchical permutation importance is applied: 300 initial features are chosen and one loops over all other feature subsets (the orders of feature subsets are permuted from run to run). In each run, features with negative feature importance are dropped and a new subset is then added. In this way, features which contribute less to explaining the variance in target variables can be dropped more discretely. Finally, forward feature selection is applied to reduce the number of features by checking whether adding a subset of features would enhance the ROC AUC.","metadata":{}},{"cell_type":"markdown","source":"Switching to return/volatility competitions, time series CV plays an important role in \"Optiver Realized Volatility Prediction\" competition (1). In the \"G-Research Crypto Forecasting\" competition, the winners observe the CV score variances plotted against hyperparameters. If the CV score is too noisy, one could try different seeds or employ more folds to obtain more stable CV scores (2). In the \"Ubiquant Market Prediction\" competition, CV is also used to select hyperparameters of the models (4). KFold and GroupKFold are deployed for training the model and early stopping is applied.","metadata":{}},{"cell_type":"markdown","source":"##### Section 2.3 Financial Data Modeling Techniques","metadata":{}},{"cell_type":"markdown","source":"In financial time series competitions, LightGBM seems to be prevalent. In the competition \"American Express - Default Prediction\", one of the winning strategies uses an ensemble of LightGBM, GRU and DNN (6). Another winning team uses a blend of DART, LightGBM and Catboost (7). DART, LightGBM and Catboost are all variants of gradient boosting machines, which involve adding weak tree learners to explain the residuals which are not explained by preceding weak tree learners. Gradient boosting machine has been one of the best off-the-shelf models in recent years due to its abilities in handling different types of data, selecting features, handling outliers and quantifying feature importances. On the other hand, GRU is a machine learning model designed to handle sequence data which involves using past observations to explain the current ones. The success of ensemble of LightGBM and GRU showcases how well those 2 different types of models complement each other. The \"Optiver Realized Volatility Prediction\" competition's winning strategy is a blend of LightGBM, 1D-CNN and MLP (multi-layer perceptron) (1), while the winners of \"G-Research Crypto Forecasting\" employed LightGBM (2, 3) and \"Ubiquant Market Prediction\" competition employed a blend of LightGBM and TABNET (4). CNN (convolutional neural network) was originally designed for inferring content from graphic data due to is ability in summarizing various areas in graphical data. TabNet applies sequential attention to determine the most effective feature at each decision step (see 26), while attention is also a sequence model just like GRU, but it is divided into 2 separate stages, namely the encoding stage and the decoding stage (see 27). Attention model incorporates more information than GRU as it takes all hidden states from the encoding stage into account. It is fascinating to see that a machine learning sequential model has similar performance as a gradient boosting model, indicating the feature engineering part of GBM is able to incorporate past information very well.","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:image.png)","metadata":{},"attachments":{"image.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"### Section 3. Sports Data Modeling Techniques","metadata":{}},{"cell_type":"markdown","source":"In the world of sport data, we have seen fewer creative feature engineering techniques being created in the past years. Gradient boosting is still the dominant technique in the most competitions with the following exception. In the \"MLB PLayer Digital Engagement Forecasting\" competition, dense layers and residual blocks are used to create embedding vectors before GRU is applied (8). Normalization of features and LSTM didn't help. In residual blocks, one hidden layer is not only fed into next hidden layer, but also fed into the layer 2 to 3 layers away. From a conceptual perspective, it is similar to gradient boosting, which attempts to estimate residuals. The success of GRU model in this competition demonstrates the effectiveness of relatively simple machine learning models over gradient boosting models when dealing with sequential data in sports. In the \"March Machine Learning Mania 2022\", a LightGBM model is deployed before overriding 3 teams' predictions manually based on subjective evaluations (9). In its 2023 version, standard features such as field goals made/attempted, rebounds, assists, point differences, win ratios over the past 14 days and teams' seeds are employed and XGB (also a variant of gradient boosting) is deployed to win the competition (10).","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:image.png)","metadata":{},"attachments":{"image.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"### Section 4. Healthcare Data Techniques","metadata":{}},{"cell_type":"markdown","source":"##### Section 4.1 Healthcare Data Feature Engineering Techniques","metadata":{}},{"cell_type":"markdown","source":"In recent healthcare data competitions, we have seen some interesting feature engineering techniques being applied. In one of the winning strategies of the \"Google Brain - Ventilator Pressure Prediction\" competition, important latent variables such as target pressure, pressure decay parameter and pressure multiplicator factor are calibrated to form the predictions (12). In the \"AMP®-Parkinson's Disease Progression Prediction\" competition, Blood test results are not used by the winners. Instead, visit month, forecast horizon, target prediction month, indicator whether blood was taken during the visit, indicator whether parent visit occured on 6th, 18th and 48th month and the count of previous \"non-annual\" visits (6th and 18th) prove to be strong predictors (13). In another Parkinson's Disease related competition \"Parkinson's Freezing of Gait Prediction\", features such as AccV, AccML and AccAP (acceleration detected by a lower-back sensor on three axes: V for vertical, ML for mediolateral, AP for anteroposterior) in the Tdscfog (freezing of gait data collected in the lab) dataset are combined into a matrix after being padded and then reshaped (14). Similar operations are done on features such as StartHesitation, Turn and Walking data. Tdscfog data is not used to train Defog (freezing of gait data collected at home), and Defog data is not used to train Tdcsfog. Daily, events, subjects and tasks datasets are not used. We see that while healthcare data competitions might provide us vast amount of data to work with, most winning strategies do not use all the data available. They instead select the most effective data to work with, so dataset selection is one of the most important skills to master when dealing with healthcare data.","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:image.png)","metadata":{},"attachments":{"image.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"##### Section 4.2 Healthcare Data Modeling","metadata":{}},{"cell_type":"markdown","source":"In the \"Google Brain - Ventilator Pressure Prediction\" competition, a median ensemble of multiple folds of LSTM + CNN transformer is employed (11). Just like GRU, LSTM is another sequence model which incorporates previous observations when making predictions. A transformer consists of a encoder part and a decoder part, and both parts contain multiple multihead self-attention (MSA) layers. A multihead self-attention layer is similar to the attention structure, but involves estimation of more parameters such as query, key and value matrices (see 28). It is fascinating to see how state-of-the-art machine learning models are used to tackle challenges in healthcare data competitions. In the \"AMP®-Parkinson's Disease Progression Prediction\" competition, average of LightGBM and NN are used (13). LightGBM is configured as a classification problem with 87 target classes while NN is configured to be a regression model. Hyperparameters such as learning rate and hidden layer size are calibrated using leave-one-out CV due to the small training size and random effects caused by other forms of cross validation. In the other Parkinson Disease related competition \"Parkinson's Freezing of Gait Prediction\", transformer encoder and 2 bidirectional LSTM are applied (14). Final results are the weighted averages of the model output of the same structure with different hyperparameters. This is another example illustrating how modern machine learning models are applied to sequence data in this field enabling scientists make more accurate forecasts.","metadata":{}},{"cell_type":"markdown","source":"### Section 5. Nature Science Data Techniques","metadata":{}},{"cell_type":"markdown","source":"##### Section 5.1 Nature Science Data Feature Engineering Techniques","metadata":{}},{"cell_type":"markdown","source":"Switching to nature science data competitions, two competitions involving gravitational wave have been held in recent years. The first one is the \"G2Net Gravitational Wave Detection\" competition, where winners apply highpass filter 20Hz 1D convo to raw signal (15). They were able to generate their own noise and merger signals using PSD (power spectral densities) based on provided data by iteratively determining distribution parameters using neural networks once they realized the noise in the provided data was generated (16). In the winning strategy of the other related competition \"G2Net Detecting Continuous Gravitational Waves\", noise is normalized by root squared mean grouped by time-ID, and single-frequency noise is removed by masking anomalously large frequency bins (19). Also frequency dependence is removed by normalizing through the root squared mean within each frequency bin.","metadata":{}},{"cell_type":"markdown","source":"Some very interesting feature engineering techniques have been applied in the \"Open Problems - Multimodal Single-Cell Integration\" competition. Feature engineering there is divided into 2 parts: multiome and CITESeq (17). In the multiome part, input data preprocessing includes: 1. dividing tf-idf (chromatin accessibility) values by row-wise nonzero median value and performing dimension reduction using tSVD 2. replacing nonzero values by one and performing dimension reduction using tSVD. Then output from 1 and 2 is concatenated and input data also includes metadata (day and gender etc.). Dimension reduction techniques transform multi-column data into fewer columns which represent the directions in which the original data has the largest variances. This type of techniques proves to be essential when dealing with cell data which have a large number of columns. Target data preprocessing includes dividing RNA expression levels by row-wise nonzero median values, imputing values using tSVD (apply dimension reduction techniques and transform the data back before copying values to places where the orignal data was 0), and performing dimension reduction using tSVD again. In the CITEseq part, feature engineering includes selecting gene data which are highly correlated with target variable and imputing orignal data using tSVD before applying dimensionality reduction techniques again; target preprocessing also includes tSVD dimensionality reduction.","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:image.png)","metadata":{},"attachments":{"image.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"A novel feature engineering technique is applied in the \"Novozymes Enzyme Stability Prediction\" competition, where protein is represented as a three-dimensional structure created using PDB files and close residues are connected by edges (18). In this graph, each node's features are embedding vectors of wildtype and mutant sequences created by the ESM-2 model (pre-trained transformer protein language model, see 29).","metadata":{}},{"cell_type":"markdown","source":"##### Section 5.2 Natural Science Data Modeling Techniques","metadata":{}},{"cell_type":"markdown","source":"In the winning strategy of the \"G2Net Gravitational Wave Detection\" competition, CNN followed by batch normalization, sigmoid linear units and maxpool blocks is applied (15). SGD turns out to be a better optimizer than AdamW. Due to different noise distrbutions of detectors, a different conv1d is applied to each channel (Hanford, Livingston and Virgo). After concatenating the features, resnet34 (a pretrained convolutional neural network) is applied to produce the final output. In the related \"G2Net Detecting Continuous Gravitational Waves\" competition however, no machine learning technique is employed. Signal frequency and amplitude are extracted from the simulators, and Doppler shift frequency is subtracted for 4000 signal patterns (19). The data is weighted by the signal amplitude pattern and the maximum of weighted sums is taken among all the candidates (each sum is calculated by summing over 360 (frequencies) * 241 (slops) values). Weighting is based on a sinc kernel with a width of 8, and the winners stride 1/8 frequency bin to collect the signal.","metadata":{}},{"cell_type":"markdown","source":"In the winning strategy of the \"Open Problems - Multimodal Single-Cell Integration\" competition, hyperparameter optimization is performed with Optuna.  Final predictions are based on multiple folds of linear blocks (GELU(Gaussian Error Linear Unit)-Layer Norm-Dropout-Linear) with different seeds. Validation sets include only some batches (Day 4, 7 only, female only, male only etc.). For output postprocessing, output data is transformed back to the original space and multiplied with the median of the original data to ensure consistency with the original data. Until now, none of the modeling technques in those competitions involve any sequential machine learning models.","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:image.png)","metadata":{},"attachments":{"image.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"The winners of \"Novozymes Enzyme Stability Prediction\" apply graph neural network (graph isomorphism networks, see 30) followed by multilayer perceptron (18). In another competition involving natural science data \"IceCube - Neutrinos in Deep Ice\", EdgeConv (a model which generates edge features that describe relationships between points and their neighbors, see 31) is used by the winners to capture local neighborhood information, transformer is used to collect global context, and VMF is chosen as the loss function (20). Von Mises-Fisher Loss is a probabilitic loss over probability distribution of pre-trained word embeddings aiming at speeding up training processes (see 32). Data are grouped by their sequence lengths to reduce the training time when fed into transformers.","metadata":{}},{"cell_type":"markdown","source":"### Section 6. Recommendation System and Other Data Techniques","metadata":{}},{"cell_type":"markdown","source":"##### Section 6.1 Recommendataion System and Other Data Feature Engineering Techniques","metadata":{}},{"cell_type":"markdown","source":"Now we will discuss the last type of data competition in our report: recommendation system data. In recent years, we have seen that state-of-the-art language models are applied in some tabular data competitions. One competition which involves tabular data and also language models is the \"Foursquare - Location Matching\" competition. When choosing potential matching candidates, the novel text processing model BERT (Bidirectional Encoder Representation from Transformers, see 33) is applied by the winners to generate embeddings for store names, and together with location attributes (latitude, longitude), one is able to generate potential matching candidates (24). Also dimension reduction techniques such as svd are applied to embeddings. LightGBM is used to select features based on their importance in their strategy.","metadata":{}},{"cell_type":"markdown","source":"Talking about finding potential matching candidates, we will also discuss two competitions featuring recommendation systems. One of them is the \"Otto - Multi-Objective Recommender System\". In this competition, innovative features including visited article-ids during the session, co-visitation matrix which shows how often different articles are being visited together, article information (type, time of appearance, popularity etc.) and time between last article-id and second last article-id indicating how frequent events appear are used by the winners to select potential candidates (22). LightGBM are used to determine the feature importance and filter for important features. In addition, MLP and transformers are used to generate embeddings for the articles, which are also used as features. The second recommender system competition is the \"Learning Equality - Curriculum Recommendations\" competition. In the winning strategy of this competition, char 4gram TFIDF sparse vectors are created for each language to generate top 20 matches (25). TFIDF (Term Frequency - Inverse Document Frequency) is an improved version of bag of words, counting frequency of terms and number of documents containing certain terms. In addition, ensemble consisting of bert-base-multilingual-uncased, paraphrase-multilingual-mpnet-base-v2 and xlm-roberta-large (all pretrained transformer-based models, see 34, 35, 36) are applied to subject descriptions to generate another 20 top matches. Features including title, ancestor titles, content, type, description, topic attributes, content attributes and vector consine distance are used in the LightGBM model in choosing the final target. It is not surprising to see the frequent usage of language models in recommendation system data competitions, as descriptions and names require pre-trained models to generate embeddings to be used as features.","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:image.png)","metadata":{},"attachments":{"image.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"Another feature engineering technique we found interesting is applied in the recent competition \"Google - Isolated Sign Language Rocognition\", which is categorized as \"other data\" competition type in this report. In this competition, left and right hand, nose and lips landmarks are used as features by the winners (23). The positions of noses are used for normalization. In addtion, motion features (e.g positions[1:] - position[:-1]) are also used as features. The combination of those features simulate the temporal movements of different parts of the body and perfectly illustrate the indicated sign.","metadata":{}},{"cell_type":"markdown","source":"A competition which requires fewer machine learning techniques is the \"Google Smartphone Decimeter Challenge 2022\" competition. GNSS (global navigation satellite system) observation data and satelite orbit data are used as features by the winners. Velocity is estimated using pseudorange rate (Doppler) before outliers are removed (21). The values are then interpolated using Akima interpolation (a non-smoothing spline used to fit curves where the second derivative is changing rapidly) and then used as constraints when estimating positions. The positions are then estimated by optimizing a graph constructed using pseudorange corrected for bias components by base station, ADR time difference and the estimated velocity from the previous step, which all act as constraints, based on GTSAM (c++ library which implements smoothing and mapping (SAM) in robotics and vision using Factor Graphs and Bayes Networks, see 37) and M-estimators, which is the broad class of extremum estimators for which objective function is a sample average, e.g. maximum likelihood. The important learning from this competition is that the steps of estimating velocity and positions need to be separated.","metadata":{}},{"cell_type":"markdown","source":"##### Section 6.2 Recommendataion System and Other Data Modeling Techniques","metadata":{}},{"cell_type":"markdown","source":"Even though LightGBM belongs to a more traditional type of machine learning models, it is widely used in recommendation system data competitions. For instance, in the winning strategy of Foursquare - Location Matching competition, LightGBM is used in reducing number of potential matching candidates and filtering features based on their relative importance (24). Subsequently, an ensemble of Catboost, xlm-roberta-large and mdberta-v3-base (an enhanced version of BERT, see 38 and 39) is used to select the matching location. It is fascinating to see how state-of-the-art language models are used within an ensemble together with a gradient boosting methodology such as Catboost. The success of the ensemble demonstrates how well gradient boosting models can complement transformer-based models based on their distinct characteristics. LightGBM is also used in Otto - Multi-Objective Recommender System competition to filter for important features (22). Negative sampling plays also an important role for the training part in this competition to filter out wrong predictions. LightGBM plays a similar role in the \"Learning Equality - Curriculum Recommendations\" competition (25).","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:image.png)","metadata":{},"attachments":{"image.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"Unlike the winning strategies of recommender system competitions where LightGBM is essential, the winners of \"Google - Isolated Sign Language Rocognition\" apply 1D CNN and Transformer as the sign language involves temporal data type (23). In this competition, adversarial weight perturbation and high rate of dropout play a huge role in regularizing. Temporal (such as random masking) and spatial augmentation (flip, random cutout etc.) are used together with the optimizer RAdam to enhance the robustness of the model.","metadata":{}},{"cell_type":"markdown","source":"### Section 7. State of the Art: Transformer vs MLP Architecture for Time Series Data","metadata":{}},{"cell_type":"markdown","source":"##### Section 7.1 Transformer-based Models","metadata":{}},{"cell_type":"markdown","source":"After seeing how various models are applied to concrete datasets of different types in the competitions, now we pay attention to some state-of-the-art machine learning models which have not been applied by the winning strategies in the discussed competitions to add the last piece of the puzzle. It is worth noting that in the M5 competition held about 3 years ago, the best performing models are LightGBM and XGBoost followed by deep forecasting methods (49). This might explain the prevalent usage of LightGBM in recent competitions and why transformer-based models are not deployed in the winning strategies in finance, sports and recommendation data competitions. However, as we will see, significant improvements on model performance have been made on transformer-based models in the recent years. We will first discuss some novel transformer-based models and then switch to novel MLP-based models. In fact, some recent influential papers suggest MLP-based models outperform transformer-based models in time series forecasting. We would like to note that due to notebook's size constraint, the graphs for transformer based models cannot be included in the notebook unfortunately. <br/> <br/>\n\n(40) discusses novel transformer-based models applied to time series. It divides such models in three categories: transformer-based innovations for forecasting, transformer-based innovations for anomaly detections and transformer-based innovations for classification. As most competitions in Kaggle focus on forecasting, we will discuss the forecasting part in this report. (40) starts with innovations related to interpretability. Interpretability has been always seen as a challenge for machine learning models. In the past 2 years, transformer-based models including temporal fusion transformers (41), ProTran (42) and SSDNet (43) are developed to enable explicit interpretation ability. ProTran and SSDNet aim at combining transformer with state space models. Also contributing to interpretability of transformer-based models, Koopman Neural Forecaster, which is developed by Google recently and has received much attention from the community, will be discussed in this report, even though it is not discussed in (40).<br/> <br/>","metadata":{}},{"cell_type":"markdown","source":"##### Koopman Neural Forecaster","metadata":{}},{"cell_type":"markdown","source":"The strength of Koopman Neural Forecaster is its interpretability and being robust against distribution shifts over time. Koopman Neural Forecaster (46) is based on Koopman theory which states that any nonlinear dynamic system can be approximated by an infinite-dimensional linear Koopman operator applied to the space of all possible measurement functions. To make this statement more understandable, it basically means that one applies non-linear functions (denoted as $G()$ meansurement functions in the paper, including polynomials, exponential functions, trigonometric and interaction functions) to the observed time series and the reconstruct the orginal series using $\\phi ()$ which is to be trained by MLP ($x \\approx\\phi(G(v(x)))$, where $v()$ is also to be trained by MLP). Subsequently, to deal with distributional shifts, local (i.e. time window based) and global behaviors are represented by $K^l$ and $K^g$, which are matrices trained by single-headed transformer, and applied to the measurement functions $G(v(x))$. As the final ingredient, to take into account that distributional shift might occur within one single time window, a third matrix $K^c$ is learned through MLP to react to any prediction error in the lookback window and thus also adjust $K^l$ and $K^g$. Thus, the approximation is done via $\\phi((K^g+K^l+K^c)G(v(x)))$. Koopman demonstrates good performance on non-stationary time series datasets including crypocurrency returns and sports player trajectory prediction, and via eigenvalues and eigenfunctions of Koopman operators one can generate interpretable insights.","metadata":{}},{"cell_type":"markdown","source":"##### Autoformer","metadata":{}},{"cell_type":"markdown","source":"After discussing a novel model which focuses on addressing shifting distributions over time, we will now discuss a model which relies on the time series similarity derived by series periodicity and focuses on leveraging autocorrelations embedded within the time series. It also refines long-term forecasts during the forecasting processes by calculating autocorrelations and decomposing intermediate results into trend and seasonal components continuously. Thus, this model, the Autoformer (48), tries to construct series-level connections instead of point-wise connections seen in other transformer-based models. Two novel block units within the Autoformer need further clarification. The first is the  Series-Decomp block, which essentially subtract the moving average values from the raw values to create the seasonal and trend processes. <br/><br/> \n\n\nThe second one is the AutoCorrelation block, which essentially selects top $k$ autocorrelations of the time series among $\\tau$ lags and calculates the weighted sum of the lagged time series weighted by the chosen autocorrelation coefficients. FFT (fast fourier transformation) is only used here to calculate the autocorrelations efficiently. In the decoder, one of the AutoCorrelation blocks (called encoder-decoder) inherits seasonal time series from the encoder, which serves here both as the \"value\" and \"key\" in self-attention setting, while the \"query\" comes from the preceding Series-Decomp block in the decoder. Autocorrelations are calculated based on the query and key in Autoformer, and the value is the input time series. All the other Autocorrelation blocks are called \"inner Auto-Correlation\" as they receive only one time series as input. The encoder here calculates seasonal information which is to be consumed by the decoder, and the decoder is responsible to produce the forecast which is a weighted sum of trend and seaonal component forecasts. (48) states that Autoformer outperforms self-attention in both efficiency and accuracy with 38% relative improvement on six benchmarks. Autoformer adapts to the change of autocorrelations, seasonal and trend components, just like Koopman Neural Forecaster incorporates local and global behavior by using $K^g$, $K^l$ and $K^c$.<br/><br/>\n\nIn (40), in order to test the robustness of various transformer-based models, authors increase the input length of the Autoformer and observe that the Autoformer does not perform as well when having longer input length. It performs the best with a input length of 96 compared to 192, 336 and 1440. However, it still outperforms the other models such as Informer, Reformer and LogFormer. When trying to increase the number of layers, the authors observe that the Autoformer performs the best with only 3 layers compared to 6, 12, 24 and 48 layers. It seems that increasing the number of layers doesn't contribute to enhancing the model performance in time series setting.","metadata":{}},{"cell_type":"markdown","source":"##### AirFormer","metadata":{}},{"cell_type":"markdown","source":"In the realm of spatio-temporal forecasting discussed in (40), one notable model AirFormer has been developed recently (44). Two innovative model structures are being used in this model: Dartboard Spatial MSA (DS-MSA) and Causal Temporal MSA (CT-MSA). In DS-MSA, for each location, one projects its surroundings into a dartboard distribution to obtain the keys and values, so that the number of keys is reduced to the number of regions to speed up computations within the transfomer. The projection is done via a project matrix, where an entry in the matrix denotes the likelihood that k-th station belongs to the region j. Subsequently, MSA is performed to learn spatial dependencies. In CT-MSA, two novel structures are being used: local window and temporal causality. \"Local window\" is based on the fact that nearby time steps are usually more likely to be correlated than further away slots, thus MSA is performed within non-overlapping windows to capture local dependencies before increasing the window size gradually in the subsequent blocks to capture dependencies between further away time steps. \"Temporal causality\" is performed by masking specific entries to preserve the temporal order of input data.","metadata":{}},{"cell_type":"markdown","source":"##### 7.2 MLP-based Models","metadata":{}},{"cell_type":"markdown","source":"##### Time-series Dense Encoder (TiDE)","metadata":{}},{"cell_type":"markdown","source":"Previously we discussed state-of-the-art transformer-based models. A recent paper from Google (45) suggests that as several transformer-based models have been outperformed by linear models in recent research, (45) introduces a MLP based encoder-decoder model, Time-series Dense Encoder (TiDE), which matches or outperforms prior approaches on popular forecasting benchmarks. As it deploys relatively simple structure, its speed is 5-10x faster than transformer-based model. In this model, $x$ denotes dynamic covariates of time series, $a$ denotes static attributes, and $y$ denotes the target variable. The encoder of the model includes the feature projections stage, which applies a residual block to $x$ (see Figure 9) and reduces its dimension. The residual block is an MLP with ReLU activation. Then the dense encoder concatenates the dimension-reduced $x$ with static attributes and observed target values before applying multiple residual blocks. Decoders include the dense decoder, which consists of several layers of residual blocks, and temporal decoder, which applies another residual block to the output of dense decoder and dimension-reduced $x$. Finally, one uses the output of temporal decoder and observed target values to produce the final predictions. The overall design is captured well in Figure 9.","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:image.png)","metadata":{},"attachments":{"image.png":{"image/png":"iVBORw0KGgoAAAANSUhEUgAABCAAAAK5CAYAAABuVV/UAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAP+lSURBVHhe7N0FgBxVtgbgv6S7xyUTd3eHBElCgODuvoss7OKLu/NWkN3FFlnc3SV4AiRA3N3dxr27S949t6dCMyQhgQzMZP4vFF1ddeuWTJLOOX3F8BUQEREREREREdUhs+aViIiIiIiIiKjOMAFBRERERERERHWOCQgiIiIiIiIiqnNMQBARERERERFRnWMCgoiIiIiIiIjqHBMQRERERERERFTnmIAgIiIiIiIiojrHBAQRERERERER1TkmIIiIiIiIiIiozjEBQURERERERER1jgkIIiIiIiIiIqpzTEAQERERERERUZ1jAoKIiIiIiIiI6hwTEERERERERERU55iAICIiIiIiIqI6xwQEEREREREREdU5JiCIiIiIiIiIqM4xAUFEREREREREdY4JCCIiIiIiIiKqc0xAEBEREREREVGdYwKCiIiIiIiIiOocExBEREREREREVOeYgCAiIiIiIiKiOscEBBERERERERHVOSYgiIiIiIiIiKjOMQFBRERERERERHWOCQgiIiIiIiIiqnNMQBARERERERFRnWMCgoiIiIiIiIjqHBMQRERERERERFTnmIAgIiIiIiIiojpn+ErNOhEREe0AFzH1QWoDsQL48XwYTgZ8Mw7DUx+thgGE0uGlNFHbQrB8B6bk/Y1fkfv3PLiqWre6AFasEL6Vh6r0TKRWr1DX4MJOaQXPygLsKpheKmAmnUsd66mXqNpmqjXDrVTXpK4LEUS9SnX8arU9BUZqG1iW2q8PCun/ExEREe0MTEAQERH9QtXql+VHEFv6MvyFz8CsCMOxy2AYhgriVfCf2RFWlyNhtd4fppENUxITlgH54E0E+MGaLymBmm3BPkkXCCmfOEY2GWYFCqf9F/byTxAecCGqOh6F1O9uRummGcgbcTv83N11Qdu1YIRqziX/U+d21XU5hgOULYS/ZizsFsPh5PYHNo5H5eS7EUttgWZ73QEjtSVM34VvWHJWfT2SvpAr3HyV+oLUi3orW+RtYpMPM3FW9f/E+XUaRK34+kLkemoOIiIiokblV3wNQ0RE1LiZKpCWINssX4HwqvEwy6bDSsmCGU6HWbUJ3uI34U7/N/zSubrlgkTrnge4EozDge/HEPc99eogpgJ8tQUq7FfbJF9QrbZXqRUV+vtxOL4Pz5REhQerdAbCa75U51iNkOvANl3YEbkWSTJUwfdsOOp88h2DXiSXoS7AUfUaql537vvwJt0PVJQi6rnqeuIwLQO2bamDoqpsHK4qLNcRk0P1tTn62qHK+77a4ibWY3K9aruj6pCyjlp8T22Ve1LHyz1J+cSVq3OpYzxdSC1ERETUqFi3KTXrREREtAMki28YJvz138JeMR5Ou2EI73MPrDYHws7rB3fdFEQ2zoTfdiSMrB5wNs1WMXsB/KoViK+foIN9P9waVlUB3IJvEcufAtMpAOx0OFYqbE/OYMGvXg6snYFY8TTYNlC9biys/IVwuxwIL68/bN+DldkZdpOucOwmCKuA33UWwsmfBmfDdCC2CYhEEA2lwi9dAHvO80DxRHgtB6vtqXBSWyBkpKjVoTBzu8APSVrBVydaA3/DN4iXTIVdre7VzoGvLsAwXcSqVP3FC+DJU6gsgr92DFC+ElYoXV1yOnzfAtwioGQm4hu/gVMyDYj6MEIZ8NQ9mIalW4oQERFR48EEBBER0S/mwTdMeOu/hbnqG1Q37wuj55lw7Raww2kwVnwKr3AF0PUE2Ok5KB97E6xNX8BY9xXcxR8iZqcilNEE0enPw1j0P3gbxgMrJ8GomAsjsxfMlGZwyxciOutfsGa/BGfDVHili2AUT4FdUQq0PQJoNhDGwndQveYz2G0GqAC/K7DhS0QX/Bf+grdhrfkW/vqxiFUuBrLawV32BcLLXofhlKLcWYKwjPuQ1g6Y+zC8klUwOwwDQhGY68bCn/4ozMUvI7bxGxirp8DxVsLP6gArlIfqla/BnfoUQsWzEdv0FbDsQ9jLRsOProfbtI/6F0YaMP8puHMfR2zDDBhrp8JYNRaeWw47rxtMO7PmGRIREVFjwS4YREREO4F8m2+XLYe36C1g8VvwZj6lAvol8DPbw0tTi1uC0NqvYK5Qgb3nItR2T1jp3eEsV2Xn3Qek5SHc+0yE7OZwFzwDb9n7iBtR+CveQXzuC3BTwoj0OBG+laPOk4+wE4ftSvsDH1bxPFhrPwfcMsDZiOiix+HN/QDhrHawe52gri0D1sK3YaydgVBuO7hpKTDdEMJNBsLI6otQ1QZE1o+DX/wNDDMOv2wBnKl/R3S1utbWeyCl4/EwKvMRn/1vuPNfUvdSDZSXw17zDby1Y2BltECo17EwnVLE572EeME0ILYC0alPIFS4AOGORyDc81yYoQhiBYsQq5LOGkRERNTYMAFBRES0UxgI508HJt4IZ8q18Oc9hrhhw+h2Ioy8LvA9H6YZg5PaCl6fP8EYcivCuXvCXzsBYV9aMxyGyhb7wem4l6QU4KwYj1i0Su2fg3C1B2PAOYj3PRt2/z/ByeoFxzIQt2xEzUxIbwdLxqIww/ArlsMsmAQjNRfW4AsR7XUBMPA6RHr9AUZOD3WevVDdTB3vp8DufCac9ofrcRtsGdMB0r0iFbEVU4D8KfDaDEd06O1we1+JcJ8LESpzYKz4Ak71Gri2Dd+sht9sIMI9LofX9Vy4LdW1lxXAqCiC6VfAj6nXeBRuVQGqIxGgy7lI7XY6nIws6NMRERFRo8IEBBER0U7ipzaH2WoIfBWIxzsdBWPg+Qj1Px+I5ACuCV9F+WZaFvysHrDCLWBYUfhVG1XwnwFv7Xhg1gOIbRgH28iF4RXBilUh7hTDimTCyO2NsOHDzGiHUKSNOpsK4Q1JPMhLHIZvwfRsmJVlCFWq4D+9DYyMXghZcYTaDoHR70rYzQapulNVeVWf68KPpMCybFimpypy4RmmVAmzZLE6t4NIhiofagkzHAE69lc7MmDG1gHxati+Oq+6J0Ndj5EmU42G4aSp/epaTBkwM7UT7J7HwUnJgjXzMVhfXovYoufgFU2AHS/T5yEiIqLGhQkIIiKinUBmm4i32BPhkQ8gRS2hkffA7ncu/PQOal9IlfASAzua0lIh+eM3A9Whapg5LZCSNxShvJEwO58O9DoGIRWmG2EVzHsxmJVVcJEKz6kAnHLETZlGQhadh1BBvwNDBrU0UtW7MKzKKFAdU8G+Bad4OSpXvo94/kzYcoA+LAW+G04MYOmFVd223mx6cXV9IXXNgBtfBctX51NncN1NetBMExH4plqkrNou9yJ3Y8hMF3q6DXmj7tW0Eep7DLyBF8LqezGsdoeoa5kMZ9LfYS0dz3+AEBERNUL8/CciIvrVJByX4NuCKWM0WLmwzSwViKepEN1DSIX3EqbrKTv1V/86FQE/lAcrpy2qQzE44Y4wOxwGPzcH1ZWr1FG5QGo2rMzuQKwC7oo3YRTPg7vqczjFs3S3i5pMgn6VSTglxRHLaAY/rSWc8sVwlr8Av2AZ4nNeRWzirahe8w1k4gnfjKprq4JVsBBm2WoYvgnHlwtz4XsejBZ94aTkIZr/CTx1DArmwp/7HOBUwMnth3Bac51w0PdhJK7BkCvw1bFqXe7ULFqCyslvI1a0Hm6vo+ANvQBWq8EwpXVGdbE+hoiIiBoXJiCIiIh+IT0FJWKApQL4UCo8S1oGBAG5tEPQjQFgSWCuVjwzWy3STUHSEurIdAtWiwORavdEaO4T8MZeCXPSP2GuGgMzFoZvp8FqPQrI7Qln+RuIf38xvHmPIxT3EHFbwA2pc8QBxwrBtdNVnQ78rObwOhwIRHIRnfcUyiZfBGPFi4j4EWTkdoDvZcGM9FTlLcSmP4zKpW+r6y6FF05V9aWqGmKw2g5DqMOxSKmohP/dXYiPvwLu0s/gN+sNq/dxsELZML0Q4qkp8Ax1nepeHHXD6m7gyTSbpq3Ho7ALV8CY+wa87++AN/Mh+GsXwW/RH17L7uoIIiIiamw4DScREdEv5PkGTBX2u7EoHCsDRos9YDcboBMMhtonrRJ8FegbMkSkdJuQQSWb7Y1I8yFAKA2uoY7PbAcrqztcO4aYWwU7rQNCPU6H3+VIhO0UILM1/PQWsFWEHzNDMDuMhNVmX3ipXWC0HoqUcHtE3XwYkU4It94bVrgjrNzu8DLz4JlhhHwLdtPdYff+I+y2+8M3MmBHMhGz1D4vjmizQfBz+6v6PThNByOl1VBYkXZA075AuIm6ySpUh9PUfQ1DpP+5sFrtD0OSDhUxRFMNhPJGqeO7IW6oW6ougxtpBbOVusa8vrBadIMfVs8lXgLfiQPZXWH2OVtd9z6w1LVJkoaIiIgaD8OXTqtERES0w3ynpuuD4SFmxCDdLEIqOE90SBBVKuC3Ybhqm1eNSqNKBe+pCKttMlhjVBUyEIHlSflKuGqbLX0k1LZKFaCn+tWq3ohkOmC7ZSpoVyUMFdBLUsGNy9kQNaVLhYwLkQJYIaS4PhzDQrUMPqnOF/ZicNU5PS8NtqeK2a5OjsCPqaPLUGZmqTuIIDNeBs+MwLPDsHwnMYOHKhP2qtT9qfW4Dd+OwLUMVY8DR9Vlqvsz3TREw+Xqvmx46j5N39NJj7ilrtFU9+VFVT1R3eLDt0x1LeocvrpOdZ9MQBARETUuTEAQERH9UioQl9EaHdOEpB9kgEf9vb4eF8GBK500PEsF4SrwVmXK1K6w2pYCGSyyWm2XmSsiaj2kFgnOVXlpFeGp42WMBbNM1RJB3EiFr+pP1Z/YEsoral0CeMeIqjIq+Ffv5PyWIWc1VJBv60EspTWG7hbiq7rV4qr9riQU9D4ZSEISEjJ6hDpaJz8cdQ3V6rYSdwM/0WHE1/ukJul4EtfnhB9SNcTVthJ1jI2Yn6XKqOdgxGC5UlbVr+7L1wNf+Oo+JHnh6X2wZZ9sJyIiosaCCQgiIqJfSgXuUAF1IpAOgmlTPl3Vqwr01TbLk3EipFWC/F/F3dLawfDgmr4qptbV4m0+3lEvKuCXrh364znxES3Bf2J4R6k9MZuGJCT0OJSeWlf7fUOm4rR1MkSOteR4VZekKyQFIYv8JwkFGTjSV9cgCQJDXaXUpq5MHSPnkGSDetHbEsfLvUjrjmCzXIskM/S9mpKEkdrVfnVvUkjqhu+oV7XdTCQaTFWHI+dTZaUlhh6NU1dIREREjQUTEERERL+U+giVYP3HnQm252O1duS9tWOCcr/1R7Wcd0fO+dPrTKzJ/4Ono1MgNWtERETUGDEBQUREtIPko9OQb/fVemFxCQo3bYQTi+l4W7pSNHbSosKzbeTl5aJF07xEywr1vIiIiKhxYwKCiIhoB8lHZywWwztvv42ZUyYiDXG1xHSXg5gpYydsL/kI3npgLikO6TyRWE+Ubgh0gkZdbKVjoFPvATjmxJORmy3jQxAREVFjxgQEERHR9lIfmTplYBh4/umn8OnrT+LwfXdH/x6dkRVRu8044mZi1ITtoQd3VBUapqmHkjBrWk/IR7OcR2bQsCEDQrrwjIY0baUJp8rA6lVr8d64WWg/5GBceNHFiIRkhpDE8yMiIqLGhwkIIiKi7eR7LgzTwvIVK3DzJefilvOPQrd2OXA9D55kEBJpA112e0gcXh2NSsYBqanpqn5JQBiqPle/llb7yE2JwTRjqDZTEJJBHhsAmSfDM0JINauwrqAKF97zOs675EYcdughOrnCBAQREVHjxAQEERHRdpIkg2mauP6aq9Ejx8Nph+0O36n4RV0jpNVDSZWLSZOmoFvH1ujYrrXaGsKKFetQWFCA3r27Y/KM+bBDwO679VIBvQ/LbRiBu3QbkZkywm41zNQMvPvtYrwzbjEe/d+TSE1NYQKCiIiokeJIWURERNtJkg9x18GSBfPQq0NzhGXch5p9v8SClRtR7obQsXNXwHNgWwbKy8tRVFQC27bRr19fLFtXioWrCxC29aSbDYRM8OnCNUNwY1GMHNQVC+fPQXW0mskHIiKiRowJCCIioh1QUV4J0zSQkqICaTdas3UrfBOGXqTJoafeGzB9Cc5VPdUexk+YiV49uumuHT5slFW6aNWhG0YdNgpWyERudipycjOxdG0J3AbS+kEY0rhSLZ5hqhcPOWkhGPEootU1z0ueBRERETU6TEAQERHtAPkCX3ovul5cIu2arVvh26q8dDmwdbcEdQAsz4eMU5lfXI1li5eje5tmsOIxRF0T4ybNxrOvjcGYCRMQsqV0DC2zQli9oQhlFVGYDaX1gFynYap/ZPh6WlJ1x0hR//d8SbQI+f/PPDsiIiLa5TABQUREtAMSKYDtDJ6tENZsLEF+aTV8Owz9vb/v6/EfCouK1aqtW1OIqqooUlJSsHbdBjiuq4J1H67jIic7EwWFRXp/Q+6+IFfecK+eiIiIdgYmIIiIiHYqQycKbMvE8lXr8fQL7+DVdz5FUUVMt4RIkNYAPixVxpKpN9V6k9xchEMhVFVVoVfPHojGYqoqFbL7rloMVY7hOxERETVsTEAQERHtJIbvwPJjMDygusrHvFkzcfghe2Nw326YPXWG2u7ANz14cNAkKw0xJ46Y66vtcfhOFHOWrECvPp2xZuVqlJaUIGQ4KK7w0CQ7E5FISHf9ICIiImqomIAgIiLaSUxfxj0Iw7DCsCIpGDlybwwZ0A17DemnXvvAUttlcAfXdNE8Jx1tWrfA2vUb1XZbJydat22JstI1CPkustJTdeuHtZtK0a5ZE2SnpulWE0REREQNFRMQREREO4uRig35cUyetxKTl67BsuIKFBaXAU4MhZUOJs9fi3krNqEq5iAzLYJDRwzEzFnzUW2lw1Ufyfvu0ReXnncq+vXqASsURnG5j1hlBTq0yIEpXTWIiIiIGjD+a4aIiGhnsR2szl+HJ179BMedcyv+dt9LqKyKImwZ+H7aPFxy838wdcFqxD0Z08FHzw7NEArbWLy2CDAsRJxypCIGy/fgeiYmLFiD5s2bonfnVnCdWM1J6iu2ziAiIqJtYwKCiIhoJ3FcD7sP6IzbLj8DTZtkIT9mIjO3CXy3GlZaOk4+dgTOOGYUMlPSEPNcZGRmYI/+3ZATctTRvvpVM9CkjD0JDx1b5GCPwb3V28R0lrX5vqX+Z+ppPc2f6Z5hyKCXMgWoL+ew1LG1BrWU97q+YPnx/sS5LH18UE+wzfZkXAuZ5SOkzpPYX6t2IiIiIiYgiIiIdhYVlsOvqkK7nBBOOGJfzJo7D19+Px1GJB0TvpuMYw8aDr+iGIYK0GWGC0lY5GRlomVeNlzXVTG/pRMNkkqwTBOd2zTTY0NI2S2F9Ib8UseYMraEEarZumVySg+2erXgOVJb7frkfbD89J8HurRvwPNMnWhwXUlAyCL1hlW9qm5XHae2SbJD3wQRERFREiYgiIiIdhLpOuHDgqMC8TOPPQiZpodXRn+PN76cjfYtm6Nlk0yddJDYXKbqrKyowAdjp+HVTydjxsx5iMeqExXVcFVZ4al6tzgApeeivDqG2cs3Yn1ZIlFRW7BlfX4J3hszAx+PmYQFC5cgHo/ra6hNzuWr5YcjEyQtEnddTJq9CG9/OQkTpi+EU12Jdes34rUx0/HxF+OxZt26mtJEREREP8UEBBER0U5iQrpSAHHfQOvsME44bB98/P0M3PbfV7HX0L6ISF+JmqBf/p+WHsFn383A19OXoH2ntgjZtt6XzLYsLJy/BKtXrqrZkmCqesrLyzFj9gLc8+Cz+H7mIpjmTz/WE2kLH5H0THz+3XQsWLYa7Tq0hi2NFWolNWw7hEWLlmPJkpVq3arZmuD7LiKRFKzeUIL3vpiCtCZNkRYJISUljCfe/AILlq5CXm62KvnTpAYRERGRYAKCiIhoJ/H8sIrUQwj5UaRY1Thsv93gl5Wja/tW6NKhldqXaNEgDMNHZVU5Knwfwwb3RttmzWQEBViet3kxVdBvWRYWL1+PFesKdCsEQ9Uhi7RSCIVD6NW1PSJZufBdR+1VH+umtGxwEbJC6nTqCLUYMk5DJAPVjof9hg1A05ws2MaPzxVyJQERx5JVBViyMh9mSJ1D1WPKedQ+1zQQthyUVcXRs3839OjZFbZ6X1IR1y0/Ru0zGLm5afBNT5f1mYcgIiKiWpiAICIi2klkDIe4GUYctgrCQ+jUrjUO22cATj9iP+Smp8CXgRhqyLSa+UWlcDwDPdvlAvEoZCYMQz6aVfRumbZukWCEQjAjqUAoDZZ6L4thyVgOBlJSUtGqdXPY4RTYroNI3EPICGHGvHV4+Kl3EYu5MFU9Mk5EUXGpWkrQo2tHuNEquQJJd8DwTdiqjNSrDoavzmWq+qDOa9gRfbyQth0yJejyNRtgeJVYtWYNVqzehM8mL0BaWhraNM+B58ZVKRkwk9kHIiIi+ikmIIiIiHYSS8Xq386aj5vufxkrN8axYtUmtGveBPsP6QbfiavA/IePXcO0kF/sIaK29ejUAi7iiPoWKh0DcSOMleuKMHPBSsyatwIr1uZj2dpNmL1wNWYtWIVFy9ch5tV0kZDBK/2aISpdD4ZnwwxlIzWjGeyQJB+ktYWBBQsWolmzJkhPz1DlAU+dtzwOVHomFq3cgFlzV2Du/NVYuSYfK9blY+bcterca7BifSHilgcrZGJ9aRTrC8vQLM1G4fr1WJtfje9mLUH7jm2Rl5cL3/uhhQcRERFRbUxAEBER7SSG7WPC3CX490uf4atJ8zHu26k4ZL+hyEtX+7w4vKTxETwVrK9aW4jczCxkZ4Xhmy4KyysxffYCuEYIC5atxfgJs/HN9zP1uA1zFq1U63MwbsIczJi7DJWuJBZqKlOk1YEbshDzK9C/Ww7+dOqBsA1TD2Rp2RZmzZqLLp07qvOq41T5aCyGydNmw4Hat2A1xk+ci6++nY35S1Zh/uJV+Oa7Oer9XMxetAIxVUrGl1i3qQT5pdXYf8QA7LNbJwzo3R5ZqRH07ZgYDyKpgQcRERHRTzABQUREtEMk8pdI21JR/48/RmUayiP2HYK/XXwi3MoSDBvUBcOH9ELMcfS4CHrqS1+OsxCLG5iyZB16d20lzREQt3Ixaf4qrC4sgx02MWpEP/zl7CNw4TlH48ARg3H4qCE4/5wj1XI0TjhqP2RFpC4PsNNgeQ7idgSxsDqDFcLKDSX4ctJsxNW12kYUhY6Jr+euwYDerRAyihFX9b8/bgbSc/KQFrFx3MG74fw/HYDzzzsWh+y3Ow4buRsuOecYXHLuUTh43911tw7bsTB38XpEwhZaNW0mN4v1Feq6q6Lo36mFupTEAJxbIuNBuGox1WOT5AfHhyAiImqcmIAgIiLaAb76lSBR9I8j6Xgsjh5tmuOvfzgCxxw4BCP27KuC7rju7pAYFyGxlJSU4Y0338G06dOwavFsvPDsi/jHPQ/hw4/GYOiQgfCcKHynGl6somapTLxGq9RSCT9WhZDhobCoBM89/yJKN67GpO/H45uvv0HYTsGipWvw5gdfwPU9rFuzEk8+9TSKisuwdMYqvPTUaNx+6zP4ZtxsdO3SEXAdQNXnxsvgxuScVUC0Qi3lanspLMeBbVj45P1PMObLr5HiliJ/w0Zs2lSC1956H2WFG7B+xRJUlFforh61yRZJOHhq0XkbeZ94ISIiokbG8GvPwUVERERb4aO0rAh/Ov003HDmARjQKRex5H4HKtL2XQOWpaJttdmTiNtIGhdBWkxING6aiMXjqLbTEDZjMOPVqh5Tt15IkXEbPJlZQloU+LAjqXjv4++QmZuJEYN7/HjqTGlJoYr5Zgiu2h5GNVJMB5VGBFEjFel+ha6ryrPhhTIRcuIIedWIq+P8UIpOYsh5LN9V11QNpGbiw8+nI8X3cPD+gxGNxyCtNjz13o3ZcK1UeKaHCMpgwkK1F1a3YyPkV6t7dreagDAi6dj/9Nvw9sdj0axlK1WHq46X70B+Wp6IiIh2XWwBQUREtJ0kEM/KzEF6eqZuxeDVDP6ow2hfuhjILBQOTBX0S8sHmUbzJyRIV+XCtoUsowwhRGGGLKRGgAwrhpBbqY5zalpMAE7cxYD+3dClY/sfJx80Q9UDpBoxZJgOIqatzxk2o2pd1aMvKoR020e2V4gUu1xPr5kSiSHNKIftx1QdPhx1nAcLccdBn16d0KtHRzhqXUiLD0ks2KEwUtR50qHqNdW1Geqa1TnTjSrYlqHK/PSfFDJVqKHKLl+5GrlNspGalqrrIyIiosaJCQgiIqLtlBi7wMQpJ5+BT7+ZARV66w9S2zMQcU1Y0gLC9DYv0vrBgJu0OGqRVgVxvUjCwvZ9tcirKqsWCflVLWpJDFnpezG0a5GD1k3T1PvkumRJ1ANDlpi6vjhc01T1AmHPUdfmwtTXINdiqPplmk+ZelNm0JDEgroGtSSuSd2ZE0P75hlo0yoLnivbks5lVMIwq9Wr3INcn3qVY/Xxssj2RFmdiFH1GbaLeCSEp94YiwOPPAHpWVk6IcHWD0RERI0Tu2AQERFtJ08H3ipwjju47tI/o30TA0cfMAzpKT7CEpz7EurXTI+5XYIgPPgorv3+B7Jnez6wpSWCtDz4sa3X+4PEGbb3PNui/nEBy/NQbtn44Lt5+HraBtz5j3vRpk1r3YpjS101iIiIaNfHBAQREdF2SnxieroVQFF+IR6+7yGsWDwPbVpkIiPVg627V4R12d+eCuxNQ0+7aW6hO8RvJdEtRS1uHCs2ViDSvAPO++tl6NyuvZ56VJIPTEAQERE1TkxAEBERba+aBISHahVoR2CbFtau3YjZ02egorQsMcakDED5O5Cgfs7ceZg3dw5OPfVUxGJR2ZrY+RuSf1bIWBmpaSno13sAOnZqp7bF1PXZai97fhIRETVmTEAQERHtCPWx6RueepEhHnWHDMiYjPXBXff8C99+9x3efP1V2NaOdAWpO/LPDEPPBMJxH4iIiBo7fhVBRES0I6QLASyY6lUaO9SX5ENVZSVefP4ZzJs9A7NnzarZ+vtLdLeQZAiTD0RERI0dExBEREQNmLQwcF1Xt3yYO3ceFi1ajG+//bZmLxEREVH9wQQEEVEjszN63iXXUbu+n3v/a0hdO7O+XYVpmli9ejW6deuG7OxsFBYWoqKiomYvERERUf3AMSCIiHYxixcvxiOPPIINGzbowDQI2iUwHTx4MI466ig0a9aspvSOk7rkG/cbbrgBBx54oF5qk3P/61//wnHHHYc999yzZusvs3HjRvznP/9B7969ccYZZ+htnEXhp4qKijB69Gi88cYbePLJJ5GVlQWrnowDQURERCTYAoKIaBezfv16vPLKKzoAHT58OEaMGKFfxZVXXolbbrkFlZWV+v0vESQ0kr9ll/fJpP6XXnoJCxcurNnyy5WVleG9997D5MmTN5+bfio3Nxdt2rTRP3dZZ/KBiIiI6hsmIIiIdjHS6kFaCEhLhz//+c96Of/88/Hf//4Xl1xyCV5//XUsWrSopjQQjUaxbNkynSwoKSn5UZAvLR2kaf+cOXN0SwQR7L/rrrtw0EEH6TIiFovpepcuXQrP8xAKhfQiiouLf9QlQI6RBEZVVRXi8biuT9aXLFmCuXPn6hYUUoeQ+5Fg2rbtzfdGWybPhs+HiIiI6ismIIiIdlFb+ga8SZMmqK6u1kG/WLFiBW6//XZcccUVuPbaa3ULiRkzZuggVso99NBDet+tt96KCy64AI899hhKS0t1YkG6YIwZM0afR5ITUs9ll12G66+/XncBkXPIPsdx8Pe//x1vvvmmPmeQbLjxxht1wkHqkgTH1VdfrY+V5bzzztPnChIhtBXyePQjSiRr1A9OTw1KREREVB8xAUFEtAuSBML333+Pjz76aPPyj3/8A/fccw+OP/549OrVS3dtkEB/2rRpuOqqq3TXjKZNm+K6667DqlWrMG7cONx///26JYXsO+SQQ3Ry4PPPP9f1f/LJJ7rlhLjzzjsxduxYnay4/PLLdYsHSVRIiwVpySB1zaqZGlKOlRYQX3zxhS4jSQZJcBQUFODSSy/V5+ratSvuuOMO3SpD6qCtkMYnng/4iVYohsEWIkRERFR/8V91RES7IAna77vvPt31QpIMp556Kv73v//hwgsvxN1334309HRMnTpVJynOOussDBs2DAMHDtSDPEo3ikmTJulxHCSRIAkCmV3h7LPPxsSJEzFq1Ch9DukSkZqaiuXLl+Ozzz7T+2WfDDop58zIyNjcjUKC4uREgqzLItuljHQTuffee/VYFXIdRxxxhG49IeNZMKDeBnk0+vnY+q1tuGrN0eubW0UQERER1RNMQBAR7YIkqJeZI6TlwTvvvKNbL7Rq1QonnngiWrRooZMKMtaCJAGeeeYZnHTSSXrfTTfdpMdykNYR++yzj16kRcRuu+2mkxcyvoMkHgKSJJDWEtJ6oU+fPjVbgR49eiASiWy1C4WcQ65R9ksd0iJDBpqULiBnnnmmbkUh41HUTlzQj7nq0XhqcVygstpBfkklqjwbxWXlqKqOAz6TEERERFR/8F91RES7qJYtW6J9+/YYMmQIHn/8cT0N5x/+8Ac93oIE9rKkpaXp5IS0XpCWEH/60590y4m99toLmZmZeOqpp/S0jtI1QsZykJYUDz/8sK5fjpcEgiQawuGwHswyIAmG5JYLwfmEHCP75VWSGZs2bdLJDenSIdcrU3dKVw+ZyUHKBK0oSNFdLbzNQz/E1LNZvGIdps1ZjPlL1iItrxUOP/YkLFq1CTMXrcL0+atQVFYlRyryHLecECIiIiL6LTABQUS0C5KgPZidQsjUjDK2wpQpU3SCQbpXDB06VHexkETDoYceqrs99OvXD++//77eLoNGSosI6RIRzKIh6zKWgyQjhLz27NkT7dq1w/jx4/U2IQNZyqwXknQIZq9Yu3at3ifbpPuHDHIpiQupT67r3//+N/7617/qBIS0wEieKlQSEaT4Dnz1c5Wfb9RxMWP2EqxetxEZOeno0KEZ9ttjAE45+mD07dwa7Vo2RZURxpT5y7CyoBCxRAU1CxEREdFvz7pNqVknIvrdSaCZ/M057TjpEiGtFo488kg9doOQ5ypdMOTZygwVkjTYb7/9UF5ejqeffhr5+fk6ESDjMEji4vTTT9ddI2QgSEkmyFgMb7/9NiZMmKD3SauKBx98UCcxZNwGSWJIgmLNmjV6UMvnn39ez7Ah1yBJjQULFuiuINJVQwarfPfdd3WdJ598sgqcO+gBKWfPnq0TDx9++CE+/vhjfR+SGGndujVeeukldO7cWU/72eh/j5ghlEfjmDFnEdJT0tCrRxe0aJqNtHBIf6sgTyZk20hPC6NVXqZO8sxbugau2tssM0OnHwwjaA3B7yGIiIjot2Oof8jxqxAiqjc2btqEhfPnw5ABCk0VSu3Ev6HkrzuZGlIC3k6dOu2ygawE/q+//rpu0SAJCEkkBCTR8OKLLyInJwennHKK3iddH6S1g7RY2H333XVXjGbNmunyM2fOxAsvvKDHfmjTpo1OGMggk/LsJAEh5WUAS3kvU3JKWXHCCSfopIMMSjlgwADd2kHOK4kGaS0h4zx8/fXXOPjgg/XPYvr06bqbiHTHkFYWf/zjH/HBBx/osSQkgSHHdunSRZeXFhWNNQHhqecsyYe5i1YgFApjQJcO6s+J+r1txFFYkI/ly1bp5yM/j959eiESCcEzQigsrcbcOYvQq3NbNG+erZ5fYhpWIFLzSkRERFT3mIAgonrltTfewMknnljzrm7IQIfyTb/89bcrB7LBX+/J95h8z9KMf0sDPP7cc0mud0vnqG1L9QXb5DVY31Idwf7gOuWat1a2MZAZN6fPX45ozMHgfl1hq+ehPsnV8wHeeustnHfeX/TYGZJgevPtt/WYGvrnrJ6hHDNx2lyM2HuQOiSunqG0gmACgoiIiH47bHtJRPVKfmGBfpXGD5Av7nWgKX9V7YRFvipWZCyCYIaFXZEE7IHa9xi8D4L+YH1bau+X42QJtteuJ3iVwFfWt3ae2scHateTvL922cbGdWVsDx9ZmRmw9LNVz0R+qd/b4XAEzZs3111WpEtM8DtfPzEpqP5QhdMiKCmt0uVr9hARERH9ZtgCgojqlX/e/U9cf+31aNKyHTrtNgAh31aRaM3OX0Hir7XLl2DF3Fl61odnn31WB2tE9VntVirFRWVYuGYjunVuj+yI+rOhWz8k9o8e/TGuu+5a/ftajpPf423bttWJHHnvqj8EC5etgR910K+3dEGSmUrC+lgiIiKi3wITEERUr9x9zz9w7TU3oNvg4Tj+0kthhlWA9Cv/mpJvzWX5/qP38fnzT+Dwww/HM888g6ZNm9aUIKp/ZFrTJ554Qo+JIYOG5uXloai4DEvW5KNvn05I8XyUlZdh6rRpejDR77//Xg/0KdOvyiwmF198sf49LmOe9O3TBzJvybI1m1CwLh97Dumt/lxF1R8OdsEgIiKi3w4TEERUr9xzzz9xzTXXo/PgETj20iuASGinJCCkCcSk0e/gq2cf32oCYmt/HSY3+08uU7s7QLCv9nbaeeQZB4vM1iGv8u2+LMH+5Pf6m/+aciJ5f7Aur8nryftlCaYzrV0m2BeUk20iOD55PbnM1l6Ty8kiA3decsklersM5jls773Ro3tfNO/cFQP7doW0XZg3dy6OO/54nXBIS0vTM53IlKsyw0hpaake1PO0007TM5/IXazeWIxVy9dgj8E9YFuu+r3KBAQRERH9dpiAIKJ65e577sW111yNLoP3wPEXXwczIgNBJIK5X8xItICY8NF7+PL5J/TsEM8995werK+uyV+xQWCZHDDLuszIkbw/eC/7ZJvjOJv3B4vsi8VienvysUH55HLJ67XfB+vBezlWXpPPt7XzJ78G1yyLbJP3sj04rnadyfcs+4JrFvIa1CU/r2CRLgayBImd5PeyBLNiyPEyq4csQVl5Dd4HXRWCWUFkW7AE9QVlks9R+31QbmvvRfL25Ndgn1xD8rba72Vdfs433HADNmzYgBYtWuCYY47B0UedgGadOqN/r84Iw8GcOQv0jCLyezklJUU/A1mkHnkukoiQWUseeOABPYDl2sJSLFm2CnsM7IEUUz13k10wiIiI6LfDBAQR1Ss/JCCG4viLr6+TBETXrl1x4IEH6qBPgjUJgoNgW0hgHATYwWtQLtgmZYNgWxaRHFzLq5QXQb1yDRJYBsFmEHDKItskYJRXWYKyQfmgXPL7YD35NVhq7w/WZfuWjg8W2R4E9PI+eT35uOT9ye/ldUvnDNaT66u9JB8nZYJywbNLfk3enrwkbwtIvQHZLj+PrR0vy89tr/1ae78sUn/yzz3Ylvw+uI7kssnXWlVVhdNPPx0jRozAkUceqacvLS+PYsm6jejftytSEMPixSv1lKWrV6/WdUqrHklWLF++XLegqKysxBlnnKFnfZEpPFduLMKyVWsxcve+MN2YOiETEERERPTbYQKCiOqV3yIBMWTIEFx22WWbW0AEQWAQAG/tNQgiQ6GQ3iavwfGyLxwOby4j5L2sB0G3LMmS//qVdVmSywXrtbeL4Njk7cF5tyT52GRb206/P/kZyzgQwe8jUVxcgQWr1qF793bIsh24jo2y8nJddvTo0fjHP/6hu2FI8uHBhx5Ch/btdcsI6Z4hM2gsXLUeFdVRDOnVWZ0gpn4DMAFBREREvx0mIIioXrn7nrtw7TXXofPgYTj+kqtgyEj/v3oajESQPvGjdzHm+cd1FwyZIaBJkyY1++vGlv56lW3bSgYE+4Njg1fZlrw/2bbqpIZNfrbBz1eWeLQaUxauVr93s9C1dQ4cV5Jjss/EB++/jxtvuF5Pwymtb555+im079AenuvBV/tjHjB57nJ0atccbXLT1T8AHPUbK5FEIyIiIvotbP3rMiKi30WitYMBG77pw1XB1a9eLKjFgKfWhQR0QbeJuhQEjclL0FpiS0twTPAqi5QPjgm217albbRrCH4PJH7GPkIRAzlZ6Vi/qQhRR223LXiGqQeYjLkeSkvLUFhYiJh0B/Jkq1rU73fXN5BfWoVKx0deboZUpfCfAERERPTb4r8+iKieqflrKVYGq7IAZlUhUPkrl4rEq+VWJeomapAMwLPQuW0L+LEqLF29UW9NtJIAunbpgv333w89evTAQQceiKycXF3etWxUOS4WLFyMbm1yIW0eEjkrJq6IiIjot8UuGERUr/z97rtw47XXITU1FSnNc2DIt7z+1gOl4C+wzY0AtvE3WnVlBSqKi3DooYfqLhjNmjWr2UPUMLjqN7gFD4VlVZg0bwU6NctEx/ZtYVkykCXUPvU/tSItJnRLH9NEQUkFZi9ajtysTPTv0hqGtKoxJNEnf1iYhCAiIqLfDhMQRFSvPPXMM/jT2WfXvPt5lgq05Jfjb3+XinPPPRf333+/HpiPqCHRCQjf1d0uiqMe5sychUgkFe3atUZuThbsmnyCvFS7PpatKcD6tWvRpmUeunRohbD6c+LLnxhTpyqYfiAiIqLfFBMQRFSvbNq0Cd99/z0qystr+r1vncxC8dlnn2HJsqU4849/hG3JgJVbF0yPKbNgdO/eXb8PZhcgaoiKq+JYtWYdKiur4HguTP1nJtECIu5b8CLp6Ng0A+3zMtUHvguYHHSSiIiIfj9MQBBRvSJ/Jf1c4iEQj8f1dJpfffUVPvzwQ3To0KFmz7YFf+3JKxMQ1JA5Na+xWByu62LW7Dn47tvvcO5558LzfIRTI0ixpBuT+r0ubR501wsiIiKi3wf/JUJE9cr2JB+ClgzLly/HW2+9hTlz5mD8+PE1e3+enEMWJh+oobPh6yUtHEJmagpWLFqAD95+HbGKUuRmpCLd8mFK8kH+XDH5QERERL8z/muEiBocSR5IEmLChAmorq5GTk4Oxo0bh8rKypoSRI2L73uIx6N48aUXsGD+AixcsKBmh/rzIv9LrBIRERH9rpiAIKIGJ2jBMGLECNx444246KKLcPHFF7NFAzVCMtuF/JkwsWDBIowZ8xXWbdiA8d9+V7PbUkviz8X2dWwiIiIiqjv81zoRNUjSBUPGfOjRowc6d+6M3r17IxwO1+wlajzkz4K0CPr++++Rnp4Oy7IwceJE5Ofn15QgIiIiqh+YgCCiBkmCLBEEX4ItIKixkj8DZ599Nt555x09zeyLL76I3Nzcmr1ERERE9QP/tU5ERNSASXckScjJEoyPIq2BgiQdERERUX3BBAQREVEDFoyJIqRFkAjeExEREdUnTEAQERHtIoIWEPWJ4ziIxWKIx+NbXerbNe8IufZoNArXdWu2JEgySLbJvuR7lWcRlJUyQdLotyTXHFwPERHRb8lQH3ycmYuIGqz33nsPGzdu1P3eiRq77777Dk899RQef/zxmi2/v+nTp+O+++5DWVkZbNvWA2VKUkKm0JUAuFevXrjsssvQvHlzHYz/XOuN4J8tv7aVx/aca3ssW7YM//rXv/RsPHIvyUpLS/Hf//4Xc+fO1fcq55RnIAPoHnLIIdh777312DXbO37Nlq659rbtva9//OMf+vwjR46s2bJtO+t5ERFR48YWEERERPWIBKqFhYV6Fov8/E3bvRQXF6KkuAjVVVUoLMhHgVq2VC5YNqplQ8EPyyZ1vpKSkpqr2HlCoRCaNWuGNm3aICcnBx9++CEWLlyItm3bolWrVsjLy9s8XoW0DJBFgl0hr/JtvSyyLvuC98nrtcsHr8l1JQv2SyJEXgOyHhxX+1WOqV2/kAToCy+8gE2bNun3yaT1w9tvv40pU6boZyD326RJE4wfPx7HHHOMTk4EyYegzuT6g/VgvyzBNQVlArIe7EveLoKycr9SRnz00UdYunSpXt9S3YHgvbzKflmS9xMREe0ItoAgogaNLSBoV1JUVIR77rkHX3zxBUzDgL0D3zibhomqykqsXbcOnTp3qtm6dRKiJoepEghLMuDmm2/GkCFDarb+OkHgGiQYJLFy9NFH48gjj8Q111yjt4mgnLwGg2kGgn+myLbkMrIu2+S9vMoiwXEQ0Mt76e4gZYPzJ5PjpHzy+SRAD1okSCJI9kk5eR+cKzhGyDaZ8lRaM7z77rsYMWKE3h4oKCjAgQceiOHDh+P+++/ffB75O+viiy/GN998o/8Ok+ct9yPnkXME5xSyLscF+wPB9uA12Bbcs7S0qE32yyL1SMuHc845B2eeeWbN3sT9J99bcvlgXa4j+ZkRERHtCCYgiKhBYwKCdiXz5s7F/qNGYf369TVbdizIMwwVPBsWXG9H+vYH50gEuHfffTeuvPJKHWzurCAzqEtadRx22GE6ASGJDiEB/euvv44nnnhCJyiklYQExWeccYY+5pFHHsGKFSt02TFjxui6LrjgAh0Iv/rqq/rP//77749bb70VGRkZ+Pe//60Df+n+MHXqVEQiEZx11lm6PmmNUVxcjIceegijR4/WwXrr1q313x9yTVVVVbjtttt095BFixahoqJCdx+R14cfflh3t5BjZIrTK664AkcccQS+//57fU9bS0AccMAB2HPPPfHAAw/o8wdWrlyJQYMG4bTTTsODDz6o65V7fe211/R1SDJIkhRHHXWUfg7ShUWuQVqQlJeXo2nTprj22msxSv1+kWSJdL15+eWXdSsWeYYyLavULckCea6PPvqoPlaem1yvPPOrr74af/zjH/X9yX75+7SyslLXLdtPPvlkXV66a8jznDx5st4v7+WZExER7Sh2wSAiIqonXBXsxeMxvX7oYYfjnKuux1lXXrfdy5lXXIM/XH7lFvfVXs654jqce7larrgWZ11yJTJzm+lgU74F39lqJzKS30sXBUkeSJLgyy+/xKWXXorbb78dL730kk42rFq1SrcKkWuTrg4ScJ9//vm6lYiMvXDHHXfooP3999/X9S1fvlyX79u3L8aOHYvzzjsP//znP/X4GJJgkSBegm85hwTke+yxhw7WpT4h4zVIfXKeCy+8UJ/3qquuQlZWlt7+wQcfoH379vq8kjSofW9bsqVkjtTRo0cPLFmyRL+XBIxc20033aSvW4J/SUAE9yXbJRlyySWX6OTJ0KFDdSJGEhOSfJDEkez75JNPdMsGaWEi9cl5//Of/+gEiCR9gqTN/PnzN7eoeOaZZ3QCQp69PBNJxvz1r3/V1yFlJBkj+w899FBdRq6diIjol2ALCCJq0NgCgnYls+bMxqiR+2FTQT6uvf1v2F0FfJKUqAvBh78NA240jsv/cCrWrVymg3X5Zn1LQfOvFbSAkG/1JaCWb/rlm3ZpBSFBsrRWEBL8rl69Gp999plukSBBuKzLuBFff/21bs3wxhtv6CBcWjQcf/zxekBFCbAlKJfWBZJkkJYAQgJyGXtBgufjjjtOl/nTn/6k98m3/xLsS93yzf4pp5yiy0pCQAbMXLt2LT7++GPd2kG2SzcZCdiffvpp3SJg1qxZOjDfVgsISXJIq4va3SKk64bcu7RckGcyePBgnRiRsSMk8SH31alTJ33sfvvth8MPP1z/fIS0gpBrlK4U1113HXr27KmfYZBUkFYkM2bM0AkTeV7SDeT//u//9D4Zr+Lggw/Wz/mEE07Q99+nTx9cfvnl+ucurSYkKSOJBhmnQn5Gci/vvPPO5p8RERHRL8EWEERERPWEvzktYKDKBWKxOOJ1tETjcVQ56lUtcp7f4/sI6S4gAyF+++23OPbYY3VALoG4fPO+YMGCzYNEyqwRkgwQEhzLgI6pqamb38si5YR0Rxg4cKBOPgTbJIhfvHixDqKlO4K8F3LPUq8E79JyQpIBsrRo0WJz/dJFo1u3brrLhXQ7kOuU5IeUk2D/lyZp5Nxr1qzR55frkuSMtD446KCDdJJGxsqYN2+e7o4ze/Zs3S1EEi6BtLQ0PXuIXKc8Q2nxIdcT3LM8A2kdIS0dJEmbPK5HMCioJESkfkmyyD3Js5dkipxfupZIl5OgTnkOQd1ERES/FBMQRERE9UgioDVU4GchFA7X6RJWix2SxYahzvdbk3uVb/vlG3hpsSAtAaR1gYz1IDNFyLftEqhLoCxJhoBsCwL/2okT2S6JC9ke7JOuEikpKbqe5CA9eJX9Qf1yjKwH9csMFtIVQ1paSEurJ598En/5y1/0eA7bG5BLXUHLhIAkRCTAl+SHJBGkLpnK85VXXtHdJKS7iTyDZ599FpmZmboOSa4kk9YYkpiQ65V7SH4usl3qlJ+xbJP9IngmkkAR8kxk2/XXX6/PK8uLL76oW5o89thjm5NA+vdKrRYcREREO4oJCCIiovpCgseaeLpg4wasWrqkbpclS7ByyWKsWLIU8ZoA9bckrRSk24F8g9+8eXP06tVLj4sgXatkvAURBMzJgiB7SyQxIN/er1u3TgfmMmiiJBF23313PQ2mfJMv40EI2S/lJk2ahN69e+tjpe7k+iVRIF1FZPwF6Yog1yeDYkrrAjl+S9cXCBICEuxLQkASCHI90kXkxhtv1ANNnnTSSWjZsiXatWunpyft0qWLPkfnzp11MkbGe5AWGNnZ2bobSjBGh4yNse++++okhrR2GDdunL5OOZ+cR8a0kJYc8nylK4V0Y5Htsl+etxwn1yXPRFqESEuJjh076nNLeRmDQ2bpSH4WyetERES/BMeAIKIGjWNA0K5k9uwZGLnvfigsKEVublPYKXXXKsFTsaR8fy/fRPieh+JN+fBcp87HgJCxB6R7wS233KK3SfAv3/xLECxjJUjXCwmmZf+JJ56ouxlIcCzfzMvsE9I9QwZnlAC5f//+uhWAjGMgXQxkvAgZx0BaD8hYD7JfvsmXoF/GS5CuHJLYuPPOO/V4DRLYf/7557p1g3zbL0kAuTYJ2mWAS7l/SVZI4kHGmJDrkySBjK0gYz/IulxvMA2nJASSSfcGGdBR/o7aa6+9dCsISQLIwJPSmkAGipRrF5JckG4e0s1CkiHTpk3TiRQZPFK6RMj9yjORMSXkWcmAnTJbhYxFIdco4znIrBoyloPM/iHXddddd+nyMg6E1C3jSMgzkKlDJUEhs2/I4J8ycKX8DIYNG6a7csjPZPr06XpWjn322Qd/+MMfdCsMGdQyeSYPIiKiHWWpD+vbataJiBoc+Ue2DCInAQNRQ7d23Wo8qQLlWMxBdXUlKstL1VJWJ0tVWRmq1SKvVeXl8P1EdwIJUiU4r6tvuyXwHjBggP6GX8hYBNI6QYJ5Ceqlqb8E5jLooyRBpPm/tAqQZILsk/eSiJBv/WVmCikjdUrwLd/cS1JSWhTIfgngu3btqrsXyKuUlW/4JQiXc8kYC3Kc/FNItkuLAKlLgng5pyQMpBWBHDtz5kzdckDWpUuGXL+sy1gM0lVEgndp0ZAs6LogrS4kgJfxHqSlhyQsJFEiA0MGiZ6g5YPMwjFnzhxdTq4rmO6yX79+Ojkg+yQhIwkXeU7SMkJaLsh9yD65L0mkyICcck1Sf/fu3fXfkXIP0vJBxrGQeuUYOY/cy2677aZnu5DxJuQ5ShJKEirBWBdSh3QXqd2VhIiIaEewBQQRNWhsAUG7kikzJmHkHsNREY1h2LFHo2OP/vC9uvmYlvSCoaqW4Lc6FsVHzz+NioJN+Nvf/oYbbrghUagOyD87ZAkCWVmXa5CuBTJOgSQAJGgP9iWTclv7Z4vsk+Nl2k2pW1o0SPAs39hLnSI4l5Cy0hpBxl+Q8luqNygrpLxco4wlEZSXBENwTbItubzY1rVuTfAcJKkhXTxqC/YnX0dQX7AvGK8heZ+Q+5VnIscG15a8f0vnTr6HbV03ERHR9mACgogaNCYgaFcyecZk7L/HMJRFYzjyrxehz14H6e4RdcFS1Uo4Kf8I8BwX/7vpKhSuXl7nCYi6JMGzDBApiYH//e9/nDKSiIionmE7OiIionrC9Gy4Nd8y225YD9Tg19HiwUBcncsx1T8FYh6QGNuwQZMWAaeddhpOPfXUrbY+ICIiot8PExBERET1hKF+bQ6bfQOmoT6o62pRp1Av+n/yPtEWomGTbgcHHnigHmMh6IJARERE9QcTEERERFSnJBEgYw/IVJQ7g9QX1BmMWyCv0vUiIAmI33PMArk+ua5oNLr5eomIiBo7JiCIiIioTkkiQKaKlBkaRHIwHqxvKUiX90FSIXmfbJNpKiW4l5kpRo8ejaqqqpq9PxXUHSzBtuRXIetbOp8kTmRqSjmfkH21j08uL+tyzyUlJXqaz21dGxERUWPCBAQRERHViSAo37RpE/773//qaTNF7ZYJ0pJBtiVvl0SALDKug5B9QXJAWhbINJaVlZW6pUMwY0NQtjY5Vq5Fjg/OEbzKtuA65TqC9eRrkeu/7rrrNicSZF/yfjkuWbBPZtj49ttv8fHHH/+oPBERUWNl3SaTTBMRNVALFixARUWFnuOeqKFbv34DnnryCTiOi15D90Kz9h03B8Q7m4TDvvxPBcZmzMXkMZ+hqrwEo0aNwogRI3SZXysIuu+77z60bdsWhx12GL788ku8++67eO2113TrgE6dOqFZs2aYPXs27r33Xr19/fr16NWrF8rKynD//ffr8uvWrUP//v11kkEC+ieeeEK3SOjYsaNOIrRu3RovvvgixowZg6effhqrVq3Sfz9I4kNaXsixMivGG2+8gQcffFCfOy0tTZ8/IImMDRs24KGHHsILL7yA6dOno0OHDnjnnXfw8ssv6zIDBgzQdTzyyCP6Xpo3b442bdrg8ccf1+d59NFHMWXKFHTr1g1NmzbV1yaz9QwdOhQZGRm6DiIiosaKLSCIiIiozhQXF2Pq1Kk6qSGtFT788EPdZeKPf/yjTkrcfvvtWLNmDa666ir06NED11xzDb7++ms899xzOokg5Y844gjst99+m5MxvXv3RsuWLfV2aZ3w6aef6m4SkiQoLy/H1VdfjVdeeQVLlizR9c2dO1cnOCRx8eyzz+qpOg899FB97mXLlulESZAskeNk2xVXXKETHJKI2HvvvdGuXTscffTROpnwwQcf4IILLsBee+2Fm2++WZ9HEieyXY4rLS3FnXfeqcelGDRoEPLz8zFnzhxdPxERUWPGBAQRERHVmY0bNyIcDiM3N1e3BpBWBscdd5wOzA8//HCdMHj77bd1dwrZL60HpKXC999/r5MK0pJg3333Rfv27fWxkoSQutLT03XCQsrKNjk2MzMTI0eO1Me0aNECxx57LLp06aLXpfuEtFiQFhQLFy7UyY2UlBR9HlkkiTFv3jzd4kESEPJ+//33x/nnn4+cnBy9SEuHmTNn6kSKJDWktYQkKaSlhVzHOeecg+7du+PEE0/EjBkzdCJCWkFIVww5HxERUWPHBAQRERHVGUkMhEKhzeMzSPAuAXmwLoskByS5IOsyvsMBBxygA3/ZJksyaakgdUm9ssh60HpBXiUREKwH55F1KSsJjeBaJCkiLSEk4TBx4kSdhJBEgrTUuOSSSzaPWyFdQOLxuD5eri25DklKSB3SLUPGgWjSpIk+n9Qt5wxabEh5qYOIiKixYwKCiIioHjLULwlg63xRv+RsiWXnkyBdWjfIWC0StEuLAWmJEMwsIUH9IYccopMQrVq10l0zCgsLN8+YIYF/IEg0BAmIYOrN5PsJBoQMBrYM1iWRIYkCOZ+MRSFdMOQ68vLycOmll+KWW27BMccco7tSSAuIO+64Q7egmDx5sj5GEgiS0OjcubO+1iOPPFInK8aPH69bOsi5Xn31VX0+GV9CWkJIiwy5TxnLQsa5ICIiauyYgCAiIqqHrFAIdjhcd0so8WraIZiWrRMedUHGapDBF6XbgyQLpIWCdLOQJMDDDz+Myy67DP369cPFF1+sx1OQcRWkS4YMLCtlJYivTRIB0h1CxmFYvny5LiPJB0l2BC0mpDWCbBOyX1pXnHzyyXrQSemmId0/JBkig1cmk8EiZayI4cOH47HHHtPdKqQbh3T7OO+883TiQs4vY1Icf/zxeiBLSUrIvUm3CxkvYuzYsfq+pCWETBMq55ZuIURERI2doT6c62Z4bSKi34AMCCd9zM8999yaLUQN19TpMzB87z1RVVWNvY84Du37DVRB9A8tAHYmQ1XrGYBvAlZ1HB8+8wTKijbgb3/7G2644YaaUjuHtDR4/vnncc899+iWBdI6QFo6SNAuSYOghUJRUZEetFJmlpAxHmS/LNK6ILkrhvzTRVpUyOCOUlbGcgjKBfullYRIbi0hdci5ZOwGSQrIsbK/dksJabEgdWdnZ+upQ2W/tHooKCjQCQupX2bqkARDUIckLGTwyyFDhuiEixwn55UZN+Rar7/++s3nISIiaqyYgCCiBo0JCNqVTJ4xAyP3GY7K0vKaLb+9v//97zpYln8e7MyAWcZSkOBcul1I64UTTjihZk/DFjyniy66CKeddppuwREkP2TqUEm8SMsLGWuCiIiosWMXDCKiXYAEQcG3xfItbrLk7duTcw7KSNNxGZRP+rALqePnBMcG1xNci6xvz7kbu4hpIRIKJYZj+C0/oY3EySSQDoLnnU0GlezatStOP/10HHjggTVbdw3y+1tajQwcKC1WfhiPQlpBnHnmmTr5sD1/foiIiHZ1bAFBRA0aW0D84K677sInn3yCRx55RE9PKOSveAkqTz31VD2NoZT5OdLU/JprrtHPdvfdd9d96RctWoQ333xTD9i3LTLY4CuvvKIDMenDL03PP/vsM/Ts2VMvtG1zZ83Bvvvti00F+TjlonMxYM996ixwtVS1tvoXgPz+iMXiuPe2W1Gwbg3++c9/4tprr938e4eIiIhoZ2ELCCKiXUR5eTlWr179o4A1CCAlSSPTCm5LcJwkG0aPHo3bb79dJx2kj/vixYu3GQgHuWxpNSHN99esWaPfywCBkvQIzr2tnLfs29r+bR23S1H3adTca7MWLdGhR++6W3omXtt374W2XXvqqSKJiIiI6hITEEREu5DkAfWSSQAfbF+7di3mzp2rkxLSyuGll17SCQY5VpIYEyZM0K8y4J4kNGQmAjlWBueTemTmgHHjxuHFF1/E66+/ruuS5IRMVfj999/r1+nTp+tB+qZOnaoHFZRZD+S8QrplSDk5XhIdMvCgkDokcTFnzhysWrUKb7zxhp4SUdbl/NtKgOwqHMuBL6NDKqZrw4l7dbbE1FLteIi6QFydz/fZ2oGIiIjqFhMQRESNjCQYrrzySvzlL3/BCy+8gCeeeEL3y//qq690MkCmEJRZAGQqQkkUBN+MSwKipKQEt9xyi24dITMbPPXUU3rgPUkWSNcN6QIiCQqpS5IQn376qT5GumFIokLql3NfccUVetsDDzyg+8jL9IVS/7fffouzzjpL75fkg+w/5ZRTMHny5Dobm6D+SSQCTMOAYXl1tph28uKrH3AjaWVCREREvxuOAUFEDRrHgPjBzTffrFskvPPOOz8Zb2H//fdHp06d8OSTT+oxGs477zydeJDBAKVFwpFHHolmzZrh/fff14kFSQLcd999OO6443Dbbbfp4+bPn4+JEyfiqquu0jMayGj/klCQ0f+ldYMkH6ZNm4ajjjpKJw4kqTF+/HhceumluPPOO3HIIYfgoYcewsMPP6zPveeee+rkxGWXXaanSHz22Wd10uGcc87RMwccdthhumWGJDgOPfRQPYWjJCl2ZTPnTMcB++yPTYVF2O+YY9Gtezf4O9Dyo/YH+rbaNMg+Qx1gGibi6vfAa88+jdLCQo4BQURERHWGCQgiatCYgPjBjTfeqMdskGfSvXt3vS0IIpMTEC+//DL+7//+D1988QVatmypy0myQMZ+kASDTJMoUyQ+/fTT+rggATFz5kw9qr8kHWSwSUke5Ofn41//+pf+GUjLCRkDYuTIkbplxNFHH627U0hCQcoMGzZMJzSkpYQkS+Ta0tLS8Pbbb+Ott97Sx0uXDBkz4oMPPtDXK11BpIWElJOkhXQH2ZXNmjMd+47YD4VFxTVbfntMQBAREVFdYRcMIqJdRDgc1kFj8jSc8j7YljzIYHp6+o9aE8h6MMaCvCaPuSDHC9lWWlqK5557DldffbXuhiEtGqRlRBCoBudKrit4lVYOklCQVg3SguLee+/FHXfcoVtN9OvXD7Zt63Kpqambr3VrY1rsqlo0a40TTzoZA/r3x8ABA/RsItu7DBo0SLd8kZlKgve1y2xtGTBwAPoP6I99990XQ4YM0dfC5AMRERHtbExAEBHtIjp37qxbJ8jAkQEJ4FesWKG3t2rVqmbrD4mJHSHlpZuEtIaQlgzSrUKm/JRuHDLwZFBfctJAtklyQ97LkpKSgqFDh+Lf//637uIhCQxJQkiXkIyMjM3XFdTV2Eg3GGmB8PobbySW11/foUW6v8h0q9IFRlqVbKnMlpY3Xn9DL5JckhYsRERERHWBCQgiol2ABOz77LOPTgTI+Akym4R0kZDEg3SlkO4Vw4cP12WllUFyKwkh76WFgpC6ZD05CRBsW7JkCZo2barr6tGjh052yIwYgSDRIDNoBO/lmuQ6ZF2CWxkEc9myZTohIq0d5PoefPBBxONxXaZ28kHeBy0pdnVy/zk5OejWrRu6du26Q4skHqT7TDBrSMeOHbdYbmuLnLNdu3a7/DgbRERE9PthAoKIaBcgAacEj8888wwWLFigB5WUVgrSOkHGhLj77rsxYsQIXVbGU2jevLk+JtCkSRO0aNFCr0v3B1mXLh3B+8zMTD3+wqmnnorq6mo9cKTMVCEtGCRwlURCRUWFHlNCziljPshgl23atEGfPn30+BTy7fof//hHjBo1CpdffjnOP/98Pb6DJCRkXa5L6pFrC5IQco25ubnIzs7+SWKCEoLnIsmHr7/+Wo/LIWNp1E4yEREREf3eOAglETVoHITyp2RGCpnOsrCwUI/1ILNNdOnSpWYvdOsI+ZZ8wIABukuEBPkyWKSMzyDdI4qLi/WAk3379tXjCch0mitXrtSJA6lPWlNIoCtjNkhSQwamlPK77babThRIq4jvvvtOf6su4xDIsfJeuojI+AIyTacEyzItpyQ2ZHBK+fZePo7k2mTp3bu33ictH2bPnq1f5XrknPRjwce4TJv6n//8Ryeg5M+DzD4iPw8iIiKi+oIJCCJq0JiA+LGgq4KMwxCQv+aD1g6yX9ZlCf76D/aJ5P3BeyknzfLlG/Xag0LKPllke3Ce4DXYv7XyyYLtUjaoQ9Q+Nvk9JQTPTpYxY8boliYyNockl9idgoiIiOoTdsEgItqFSGBfO7hPDtqTEwjyWjugT94v5H0QxAaDSSZLrqP2q9hS+drXJ4LtyXVs6Vj6qeDZyc9HurFIV5nas5wQERER1QdMQBAR0a/CxED9ErSCISIiIqpvmIAgIiIiIiIiojrHBAQRERERERER1TkmIIiIiIiIiIiozjEBQURERERERER1jgkIIiIiIiIiIqpzTEAQERH9QjLjhOu6+lUWx3EQj8c3z0SR2P9DGd/3k7a7epFjZJH1gOyXJRaL6X1ynLwKWY9Go/o8QR0BWZdZSYJzJZ8zIO+D44L6hdQn68G1yasI6gmuMViXRfYF9cu+oIzUG+wL6iMiIiJiAoKIiOhXKC4uxhdffIFHHnlEv9+wYQMuvPBCDB8+HCeeeCJmzJgO0zTxzDPP4MADD8CwYcPw9ttvw7IsLFu2DMcffzxGjRqFY489FlVVlYjHHdx8880YMWIEjj76aHz66ac6qfDaa6/pciNHjsTjjz+uz7VgwQIcdthh2HfffXHyyScjLy8Pu+++O2644QZd7ogjjsAnn3yiy3733Xfq/Adin332wfXXX4+KigoUFhbiL3/5iz7+mGOOwfr16/W1/u1vf9PnP+igg/D666/rbR999KE+Xuq96667dLJBjr/44ov1NrmOWbNm6fsaPXo0nnjiCSxevFidp1yfP0hUEBERUeNlqH8Q8F8ERNRgvffee9i4cSPOPffcmi30i8iX3Yb6OPDViqleYOnNhv7/LyMfLsHxvufXrKv/y8qvqfh3FHxkSkJAbNiwHv++916sV69HHXU0jjvueHXfPoqKinQrANu20aRJExWU26isrEBpaamuIycnB6mpaTqILyoqhOsmWiG0bNlav5aUFKnyVTqYz8rKRkpKyo+Oz8jIQGZmVk0SoEC3MpAkQdOmTdWrpeuUVhJCzpWSkop4PIaCggK9LTU1VdcrLROKi4t06wc5vnnzFvre5DxyPiHnSU9P18mRkpJidX4gLS0N2dk5+rxyvJwrOL/c64yZ0/H0c89g2ZLluOSii3HAAQfouqS81B88PyIiImpcmIAgogaNCYidw9UfBQYsFRfKWklFpQoqYzqo/DUkGA9bYWSlp6q6AEdVLjWaDTT+DAJ9aSkgQbhpWdiwfoMO6KuqqxCPxWGomzONH56b70s3iETSIgi85aNXfsl/Ul5+CalfJG8LyuottY9XdL01ZT1JICnJ23RZfQHy3BPXlbztZ4+XX5JAkm1q0duC45UfXb8cr+/JRHpWLlLVM3K9OFIiKZgxZRKGDhmCUCi0uR4iIiJqXJiAIKIGjQmIX0/FloireNCAi68//wzPPPk0Soo3IRSxNweWv0jNp4vjeMjLa4qjjj8BBxx+JCJ2CCoETexsgFavXo2bbroJ5513nr6LJx//H0pLNyElzYaltpj+zri3RMLhhw/oYK1hPDfDMFFeXgkHEZx21tkYdfBBuOrSv2K3QYNwwYUX6pYb0rqDiQgiIqLGhQkIImrQmIDYOQqLyvDvf96K8k3zcNyRg9C2dRMd8m53CwiJIzd/mtS8kRcJMH0PK9cU4uPP5yEtrzeuuu4WpKaEdcmGRrpW3H777ejZoyc8z8WsiZ/ghMMHoVPX5ginxGGpezWd7Xxm2yTJh6Dbikis/Xhb/eXDg2vEsHZjHK+/Ow0t2g7GoUcei/vvfwCnn366HodC/vnBBAQREVHjwgQEETVoTED8OkGXgluuuwlW9RTceMXpsENR9ekQV0tiHIif5ybK+7ZaD6tXFYAbiTENVJRZsx5BPG7gtnvfQ/P2B+KvV1zUIAPQFStXYOKUaWjbujVeePBW/P3Wk5Cdru7R9NR9ykwPaj3Ri+EXkHqq1GuaqisNnlMNc3PiQW2y1M/DrNaPG7qVRX1+duoirZi6znRUVqTi6hufxKgTzsY++x6GNavWY8DAPqpMfb8HIiIi2tl2xtc0RETUQEkCYNWq1Vi6dDb+cOb+sG1Hx46+CnB9ed2uRcpaicUxk7arxVPvpY+HE0UoJYqDD+6F6dO/wdq16xrkt98d2nfAicceg1dfeRX779cf2WkOfPXA5B59V+5dPQP/1yw24jEby5asRVVUPUDY6pM6As8Io6i4AkuWrIdvpOhyvq/Ot8U66sOirs8LqefhIS0zhOOPHYY333od4XAYAwb2U/fF5AMREVFjxAQEEVEjJkmAhQsWolfv1shrElYbJOhVgaF85b7dQvD8TDhuSK0bKkD2JCRXsbMKRE0DMd9HzIgAXgTdO+ciEq7EwkWLE4c2ENJSZO3atRjz1Veodn2sXLUMHTs1Aax4TYlfT8ZNcL00TJ4wFxvXFyAUVh/RkTCmT5+D+fMW65kwVi4rxvKlG2BYtjrgFze1+A3I7yG1GD78eCn22rsnlixZCtfxMGvmbLz+xmuoqExMz0lERESNBxMQRESNXHU0iswcG1ZImsxLAkI+Grbv22lpxOAhhLFfTlFB8jJ1lPqlgk4ZH2Ht2nw9AGV+YRk++ngGigrCyAilwvKrUFWVmCKyoZBuKmPHjtXJGpmy0jBchCLqWZmSgNi+Z7VlQaZHvVoWFs3fgLnz1mPIkN1hq+foRmNo37EdOnVqh9RIBK1bdMPcOStVeTlnfU5ACPl9JF1TqpGaYejfE47rqMXFp598io0bNiaKERERUaPBBAQRUSMnSQPLM2F6iUDaVS/bnsghUcAz4vAiFr4YNx0r1hWgS7f2OoFh+B6iKki/7f9exLIVhWjTvBmapIfw1lufwEUWQiELZgPsfrF06VK0b9dOPScHpq8Wx1b3m6L27FBzkc3kERjqGRq+DcMsh+9VY+X6CmQ3z4CZVg1XPcvJs5Zg8uQ1KC8vVUfEkd0kjpJqD6vXVaiDt3eMjt+Jr67PDyUWL4SQ+j1jeB5atWmNkopyFBYW1hQkIiKixoIJCCKiRk7PrCDBoQweqWLpbScfFCmg/jNtCytWFmDypDnYa+9eSMty1a5KtT+M1NQsXHTlYWjdIRNuDBg2fDCKS8owe85KWLZ09aipqwGRgDkjPUPdnyQcZDYKSQD8siSADMApLQHyi6KqXg9xD4g7DgoKK9C2fUsVsEcRi1Zj9bp8LF9ZhFVr1gO2ibQMA9XxKFatL04MSvkLkx91T37AwSKJiMRwmtKVJSMjA8efeAKaNW+unwMRERE1HkxAEBHRDpKg0YNh2JgxfTlsIwW9ureG70Th2zbWbyzHh+9+g8zMEMKSazBcWKaDIw4bhS8++16tRxLVNCASKP/pT39Cv3594XrSTeXXMS0LCxctwZXXP4frbnsOGzbGEFLP04k5CMnYGb6H9PQ0tGzeAqtWr0a37h3V83VghxIDO0arq+XBqppkaTjkOaakpOKkY09E2zZtdUKCiIiIGg8mIIiI6CekVUTwPX9iSf7l6S3xmIv1a8rQolk79WmSDripyC82MGnKLJSWAs8+NkdtawrDqlA1VaNJkxxs2liiKjUTsXMDIoFz7z69kZOb8yu+tU8kbuTVdeLo0qUTBu85ApNnrUR1tXomVggZGSnIL5DWDdJ1AVi5chVc9ZwLCvLhxF3E1LokIfKaZMN3JBHyS6/l9yGDnkrSYfL0ySgsKoSlW3EQERFRY8EEBBER1eLDM1y1qHDZMFXIbCVeJXhUi6/WYTgqII6jqsJHVq4cE4Vh2qgoLUDbLlnIj1YjNzcDodAmVUlElffhm1F4rom4E9NnaWjmzJqN4qJiHURvv6QEgXpmhu3BiEizkBAiaVlo1TIbXthUjycEqMfUtnU21i0tANwMuL6DDq2boVOHVKRGchBKbYKyUgsZtoFu7Zqo52pLpYm6GwhT/d6RgSjvvfdeLF7csGZCISIiol+PCQgiIqpFBqUMw3IB24vCRjUsB2qxYcZNmDLdpqk+Psw4PB1gqyDY8OB5cXRo3wydu3TBzLlLsf+oQYhXqaBbBmqUInDUYQZ8z0VD6vovLR5kFownn3oKs2bN1uvbTQ+ooZ6S4cMwMrGxOA9Pv/g9nn55LF5/czymTJoFKyLDgMoD8dClW3NkZdpYNG+JOo+FPYf2wznnHou8vFy48ThWL1+Bzp2aIyUjrOr+9V1BfmvSfkb/HpBn2tCawRAREdGvxgQEERHVYsA1LPhWKhykI+6lwg2pIDochReKwjEceNKNwooiLT2EkuIq9Wliw/dUUBkKYdKERchIT4Otjvl67DKoFRV5ynSMhgo+fYRUGQlCfy0JYoPl52xP2a3t/+yzz/DMM8+gsrJSX7e6C7XV1MH0z7N1ckY9UZSV2bj4iofw3ueT0KN/d3Tq1AGb8gvUieVZqLo8D7lNQhg2ciDyCzagQs7nx9SxMu2ng8LC9Yj7UfTu2wm+U6kTQA2SutWBgwYiMzOzZgMRERE1FtZtSs06EVGDs2DBAlRUVGDw4ME1W2hHLVq0GCX5SzCoTzZCRhieFUKZF8XHY2fikcdHY/Qn0zHuu6Uoj+bipdfH48EH30GHdtno3KsZVi+vxtLFy7HPiD4qgJYuBhYWLyxESVUViguWYXDfvZCbI9NMOli9ugRLlxUiZhhIzWqL5s2aoqCgAMXFxSgpKfnRItuSt5eWlv5o/7aWoKy8bmlJLpe8rfZ6WVkZqtR9PPfcc7juuuswf/58yMwXrVq3wrfjx2K/PTqjedMUHVBvmaH22YAp3VOA8V8txd/vexlnnz0KJ500AK3z0rB6bSUmz1qOU44YqpMP8XgVsrKy0KZde4QilqrBg+/FVVU+QmEbrVu1ghVKJDQM003Uv5mvcxmmVfPdgsxqsjnPIyuJN0YopJYwDFUnvNoXL++39t2Er3++Rkj9PKX1gqve67rUondv9UGo41Lx1AtjcPIpZyI9OxtD9tgdTZvkyR7sUIsSIiIiatAMf1tfBxER1XPvvfceNm7ciHPPPbdmC+2oDz8cjRXzP8XZJ7VDaigTrpmKOx94HY899gWeefRiDBvUGS+/+i2uv+NVnHzaQejSMg+9euTgoCN7Y/XKSrz4zEc45oQh6N2jCxCNwfVCWLhsBZrkpqF5XgsVQqttRhgP/OdNDB8+GC+88zWWbsxEz+5d9ICEW2t5EGzbUoC6rY+uoHxQpnbZre0PXiW4lkXK2baN8ePH47vvvtOJgT69+2HvYXthxvTxeOj2k9Gjazp8FYhvlWOpE5YD4RAeeXwSbrj3FTz0t3Nwxkn9dez/4HPf4YWnv8JLT1+Ibp3T4UV9bCwtxrLlBsJmJTq0y1TPsYkK9mXWET30J3wrDtNtBk/Va8pAHYp0hZEkR7VnoaSiAk3SPEScFqpsFJBBQP0QDC8dVU4hFq7MR1lpCHnZFejaqb26T7sm5SBdRVRZr5k6RrpJlMD0w3qPcF0Ly9ZuRH5xGZplpaF962ysXF+NgsJqNM3x0KFtc/W8ZAaPmgM2U9cWycXwQ27GW++PQW6zFli7YRWaZufpGTE4ECUREVHjwQQEETVoTED8ej9OQGRhY0kMh5z+T2xY7WDl7AdhuWswdXYJDj3qMfTtm4HR794G24jCNUoRCqVi3JilmD1nMc445TBkpDk6SJYBKfWHi/qIMew0fPrZVKxdux7HHL83/u9f7+KQ427CAaNG6vPXdy+++CI+/vhj7LHHHjjmmGPRtGkTnH3mybjpwn3Qp2fOthMQ0krAqAbCKfjo08U49bwHcc+tf8afz99fB/gPPDUOLz8zBi89/xd07qCeWWUaVmwsxUWX/A8H7tcTJxy3O9q0al3TUsFQ/7nqebqYNikf7TtlIS83A57aJ78KCkrxzbdrsGLdWpxz+lDkpDaDb0r3mJg6lwnTS0fU8fCfh9/CzOkrcPFFIzF0937SBiGRgJCfVbgaSxdEYYQsdOqYpu4tOTmQgw8+nYLnX3wXfz7rcOx/QCe89+FUvPnWJFx2/nHo37+V+v1gbjMB8fYHY5GZm4cbb7kefzztDxjQf0BNGSIiImoMEl96EBERCRU9ZqSmoXu7pvpb9435Kng2m2BDkQdXBbIdO2XC9IthupWw4yogropirz16YMDAnlirAl9h+PLtua4KhmmiqKAIIRU0H3fiMJgyfoQr36b/dABFyYcHy45IPm5Hj90eRx11FJ566indWqOwsFBduwdnC9e/Jb7lwjctdayJYXt0w59OHo6JEyZj8nez8cWX0zHmi8koLIhi3FdLES3Pg2HZsI0IsjOa4aCDRqBtu/bw1Xk388KAlYppk+ajXMbekNYaarOlXjPSU5GWmoq1KyvUzyBVJytc34TrZKvnkg7HjyKSElKl0zFkyBDsPXJPfVyiDYWwdN0rlq3H8kWr1c89uXuHqi5UhPRMG1k5TbHP/r3VPyDSkdekIzp17oLdhg3dSuuH2hLDba5YsUJ3byEiIqLGhQkIIiL6gecjLRLC+acciU4ts3H5tffi3w9+hkcfeQ9HH9sTt91+IiyZBcNJVfFtJuCmqZAyisFDW+lv5PVgkxLIKjqwVfWlZ0Sw14geKnj14bsqgJZpORPtI34k6Pogy45IPm5Hj90eMliiDJy5aNEilBQX12yV6//5c8mYDHpAT/VYstKB/7v1WFxz3TEoj1eq4L05rrrmMFx/y+Fo38GG61UAkShmzJmPjKw05DVVH9GOC1MdL/0rDNtWSwoQSoMVSoFpp6r1iNoWUoG/gbTsEDp0SUVKalhdnTpGlV22tAhP/u9jONFUWL6PDQVrsHzFavTs3UpdXbla1DOTLimmjO0gdaty6tXW6ylqWzixX9XoxUKYNnEZEItg8vhlGPPZInz68VR07dJG/UzXqxKO3PLPkh9RTk4OwuEfuncQERFR48AEBBER/ZgKPL8YNwOXXHAE7r7tGIzaswee/NeZePL+89CuRQsYlgPfisG31aLWJegPuzZSrAh8mWIx6ZNFwvSwZSGCECxHLZ6vPngkSbHzEwV1rXnz5khNTVX39LNf829m+rYK/C11z4lj0lJC6N6hCfYd0hGDejbF8J4dcfaxu2PfPfojNSQPLhvzF5ho3jaMnNwMdVQqSitcFFX7mLFoPb6fOB8Tv1uOBWsKMX7eUkz5Zh3mzFiPimqZEcOD56ig3pAZR2KAW4lmLVKx36j+MO1KIOJi/YaIqs9H+y7pQCwFVdEQNhVGsbKgAuOmLsGECYsxc9FazFyyHpO/XYXJ49diw4YKXWeFUYUFi5bgoH27oWf3HLTplYm1a9ehV5ccde6S7fqJ+r4Hy7Rw0803olu3brpVCRERETUeTEAQEVESCZTjSEmL4dGnx+DR12fj5W+n4L7XJ+Ef93+E117/Gms2qmDTluklE0cEthaW10GviN/Faaedhu49evyqoFmehXSp0K/qfzJ1qe96uk5paVBeUoE1q5ahT5/OiGTmoLLKwcyZ8xGtqkB5cQE2rtuATevWo6KkBIUb87F2/QrkF26C68Z1KwY9vam0BJFWC+o1PSMNnTq1Udsttc3G6lVrkZpmokuXtqp8BIsWr8CiRUvgx6uRv3Y9NqzbiJKCQpQWFmLDhjVYt3E1KivKYVgWivMtbFhfipH7744mrTOQGk5DcXEZunZVdTnym+Hn/0kh921YJtq37oi01DT9DIiIiKjxYAKCiIg0CQVdGCoYdtC1b2fMmrcY/7n3Ldx/z5d4+L638I9/vopzL34O193+ngpMS1Qg2fBaMfxSkiDo3LkzsrIy6yRollYVnufim7FTsWjJEsTdcoz7fDLuvOtpzFu4Aa2a5WLYHj1x1LHDcPjx+2BQ36444oCBOPKUvTByVH9kZaaheFMpZs5eiMWLlmHGjHnwXAdLF6/EE4+/ibgTw9q1hRj71WSkZYYxZ+4ivPD8x3jquU/Qo0dXdGyTh2OO3gtHHb8X9h7aE8P37IPDTxqGI0/YAx27tkRhUSneePMzxGJxOKjE+jVFeO2VL1Adi8LxK+HJbB/S3+RnSIIkVh3FPf+5G4sWL+QMGERERI0MExBERKQbM8hipUTw1TezcMstb+CmW0/D4gU3Ysm06zF3wv/h2zH/wpnnHoePx07EshVrVeEdDR7l628J3hvet94yJefTTz+NefPmwdJjIsjT2on34ftwPR9du3XCjTf8GX37tEeTnEwce/zBOOLIkfCdOBCtBqqr1FIJ04/Dian30TL48SrdikIuqW//brjm6vPQtnVzOKq+Nm2a4/CjRuoxLMLqZ3vyiYfi7D8egbDtoWevrjjvzycgNycLiEUBGRSyuhqGG9UtIlBdDj8q03I6+p4PPGAQ7rr7EoRDMkVoExw4an/c9ferYJgy9oMMWPnzCQhflZFWH5MmTERhYVHNViIiImosmIAgImrkZF4CK+7DdFUAadgoqYijoCgfuVk22mR3RuvWrdGyXTP06dEEA/s2R1aKCVNGEtzOlgC+jEngqyDVi8GxYojZ2zeDRH0za9Ys5OevV88orp6ZpT5B1T0ZMpPDzwfeP0e6SNhq6da5CfYcmInBnduhd/fW2KNfU7Rqoj6qfU89xzB8aXXixzBkWBs0kcSBqwJ/39LjcGSnZ6Fv5zwM7hNB5w6tEbJNpKeG0b5tpvqwj6FpRiZ2H9gEg7tnoV+nTth9QCv07ZoN06tUddt6/A7ELXTpkYsO3XPVj0vOper3pO4M9O3WAv17p6NZbgRNmhp6vW/vEJpm5arzS5ecLf9+CJ5OVC2euo+QaSLFCiV+DxEREVGjwgQEEVGjZ6DaM+EaIRWAxjFir1645faz8MXYabjljrdx712f4J5/foybbnsTX4yZhIv+ejJ69uwI39mRRIIEpyqAdlJUnJqSGKuggXEcB54KxsOhdLiuD8+VxIC0Atl5LSE2jwshr0nryby4o55/F2RkpP9k35aOCdbl/3pfUL9e//F4Fp66xzbt2qBdm5bwk6Ya/eHYYPyKH7/fFtkdj8dUOQ+WbcO0LPzhj39Ax44dEwV+RnD9mzZtwowZM7Bw4cKfTOEpXWSk3M4Y1FLqLikp0T9vIiIi2rmYgCAiauSaNm2KVRsKURlVAacKOvPSgAvP2BvXX3oSRuw9GP37t8GgAe0wat+huOWKU3DRWfshJyOiAtSfiTwD8s24/nbcRnGRj+oqC3lNchP7GpAzzjgDPbr3RDgcQU5WHjasK1DR8W+fSNFndNyayU53Lj2VqQrkDRXIS7eTX0/VZVuYv3gJWrZsitSUCOyQhYMPPky9l6lAf15xcTFuueUWHHLIITj++ONxzDHH4JRTTtHJiEAsFsMrr7yCysrKmi2/3HvvvYfLL79cn5eIiIh2LiYgiIgaMfnWeOCggVi9thSTpy2Aiq7V1mrY8Y3o1TkDB+7bEQcd3A4HHNIe++/TET07ZSLiF8F3ojLJgtTws4vhywwPqrCdiokT5qkgNA+9evdS+xoOeU577LEHWrRsqd8fedRRGP/9PESr1P2FQvpZSFcWw5BF3W+DX37tfcjx6pmEQ4Bl483Xv8SIESMRiUR0y4nCwk06afBz5Lk/9NBDePTRR3HAAQfgwQcfxHXXXYeysjKcfPLJWLZsmS4nSYMrrrgCbk2rjaDVxC+xYcMGzJkzB/G4TG1KREREO5N1m1KzTkTU4CxYsAAVFRUYPHhwzRbaEfKNt8xE0KJNGzz5zAcor4qiY6c2SMlWgXYoAsh0m2aaKpiaGHQyFFZLJoxImgouU7ZvUfWUFkXx0Sdz8PWU1bjwsmvQslWbmitoGOQ5TZ06VT0CExkZGejWozvGTliMb8bNQpP0EHJyc2Gnq2dlm2pRz6mxL6EQ3KiFFWsK8fRL36Gosj0uvPgaZGVn68TDeef9GZ06dUIb9ftuWwoKCnDrrbfi7LPPxu23345u3bphwIAB2HPPPfHZZ58hJycHffv2xVtvvYVx48ZhxIgRSE9P1z8jOXbixImYOXMm1q5di8zMTKSlqd/LNaS1hPxMpSVFaWmpbgkkfxbkGElAnH766bouaQkxffp0fWxqqvpzQERERL+Y4f+arwmIiH5n8s3nxo0bce6559ZsoR3lwYejlunTJ+HJRx+DW5mPplkOwnZirIAtkYDcDtkw1K+tfpOtysi34LG4j03FcZiRpjj/oquw2+AhNQUalksvvVR3ARg5cqR+LuXl5XjkgQexZMEM2JEqwKyEBRNm3K45ojEz4KgffpULtGzbE3+58Aq0b91a74lGozqh8Ne//lW3KtkWGYvhpJNO0omBf/zjHzr5IKSlgwwK2qJFC/3nX342kjjYf//9ce211+rkxo033qgTCdLqYv369dhtt93w3//+F82bN9cJib///e8YO3asTjJIMkL+DpFrkhYXL730Et5//32dcJCWFTIexP/93/+hZU0LGCIiIvplmIAgogaNCYidw/VdWIaFUhVUfzt+AtatWg3fc3Unii1SO9atW4/8/E0YNGgAHJkGshbdQ0P937QNtGrTGoMGD0TzZs3hqY+dhjgDgowLcOyxx2KfffbRCQhJwkgg/OWXY/HRxx+hvKIMpm/A8Breve1sMuBkODWEvfbaF4cffgiyszNlq1oMPcjjzTffrMfUGDhwoC6/La+++qpOMITDYZ1EGD58OA488ED069dPj1MhCbB//etfuOeee/DRRx/pJIW0lvj888/xv//9TycNJk2ahPPPP19v//Of/6zP/9hjj+Gpp55C//79dQuKBx54AOPHj8cbb7yhzyljSkj5adOm4dlnn0WfPn1qroiIiIh+KSYgiKhBYwJiJwnyBxI718TPvtpobGGooGD7tTdep159/PNvd9XsqS3546WmUpmlQJ+j4Q1B9N+H/4vhw4Zv/hZ+xqzpuP+Bh+F4Frp07oGQnQ5XPRsXOzJ2gHpGO5Kv+B0GvfxlfFjqWaxdvREV5fn483knYfje+6sff2KmCmkFIQkFSSBI64ZtkfLz58/XXS6++uor3e1Kukzst99+uPPOO9GhQwc8/fTTuPLKK7F06VLdLUNaPlRXV6NLly46QbFo0SKd8DjzzDN1MuPII4/USYygF6qU/eKLL3QXjhdffBEPP/yw7pIh40G89tpruptHkHQiIiKiX44JCCJq0JiA+H1Iv3gJylq3bo1PP/1UB327MgmCdfAp+RP1qVlQlI+/XHIBDj/+jxi858FqnyQSfklw6iYqrCHnkEEak5MSwaou5TeM7h2+L/cB2LaDeQsn4Yn//gt3XHMTdh+8m36W0rVCxmmQ7hHbCuolUSHTb0orBlvGI1FkcEj5cy+JBGkNIa0VnnjiCVx11VVYsmQJ8vLysHr1at2i4dtvv9UtLuScixcvxg033KBn0DjssMN08kEGsqxNWk385S9/0S0j5NzSHWPfffet2UtERES/BmfBICKiHSbN1KVf/bx58/Q307s8FSNLMFpRWa6iagP/e/pZ9Oo7BHvtvZ9OIEgu31dB7s8urgfPcX9YXBeu46hXR++rKC9XdSW2S1huqHolgI7Four4pOO2tKhjks8l77dYbmtLreN/cq1bW2ofpxe1Td2H43jo328ohg0/CM8++5weS0GSAdL9QZIFP9eiQBIJF154IWbPnq3fS5cXaTUhY3Hstddem7cLqUv2SesImSnj66+/xllnnYW7774bzz//vG4pIQkNSWSkpKToJIgIvocZM2YM1q1bp6+xa9eueO655/Rgl3fccYf+2RMREdGvxwQEERHtMAkeO3furFs+rFmzpmbrrss0TD1ewPyF8xCHi28nTkX/3UfAMyISwdaU+nmer4JzSVYEiwrG5XgJw5cvX4LFixbqQFreL5g3HytXrVIBdYkehyBeM9jnj45PXqTlRC1bLLeVpbafXOtWli2RFiGmKV0WLFRVAIcddgomTpysEyxCZp+QRMHPkZknVqlnIGM2yJSb0l1DFumSIcmvIUN+GNBUEhuSPJDE2JQpU3DUUUfpllGjRo3Sg05KdwrZ37ZtW/Tq1Uu3bJAkhDxvmSlDWlAUFhbqe5KWPZKwuOuuu3TyQVpYbO1eiYiIaPsxAUFERDtEArGbbrpJzwpwySWX4KKLLmoUwZl8G19eUYHKikp1v4AdyYD7M/ctgzFKS4BgkT4cviH9OIJF/WeaqK6O4pNPPkWHzl1V4C8BvBSNw7BstGjZCqtXrMSCebP10Bm61YDslyUgm/RBCfLz2NGfSXDM5mOTD08+1w6QajzPQHZWLpy4g2gsqq8zOzv7Z8d+EK1atcL111+vp8GU1giSTJCxHw466CDd1UJaJwiZzlOSFUcccYROTMj4DpI0kCk8r7nmGvznP//R5SQ5IeeXLhaSWDjuuOP04KIyNkT37t3Rs2dPnaSQRVpLyLSfsv/RRx/Vs2wQERHRr2PdFozARETUAMmAdBUqKBw8eHDNFvotyACCK1as0N8g77333j8KfndV0gqhV88eaNGsOd58+30M2nMv5DRtLk0FakpsiaOC8ETiQScffMn7GzrpkFgM9SxD+GT0aLRu0xodu/XSsX5x4Qb4ThTN2nVR7300z8vGR++9iwGD9oBlW7qrgTxznShQBwTvhU4gbPOatkEOC5Yaco1Sv6q1ZsuPyXl/+vOX94lpWE11vG35ePPlZ3DaqScjIyMT7du311NlSleIn/u9I7NPHHDAATppUVZWphMNxxxzDP72t7/pxIOQ1goyaKTYfffd9dgO8hxkqk6ZSlOSCEOHDtVlZOYNab0jiQxJQkhiSdZlfIjMzEzdzUMSH4MGDdJjVMh6VlaWPq8kJIiIiOiX4yCURNSgcRDK38+HH36oE0BXXHFFzZZdmwxi2KK5BLkmTjv7fJxz6dXo3L0P4EiCYWtcFbYnulmYloWImQovrj521XvDMhHzqhBJDePOO27H0Ucfgx79B2P1imXYtG4lPvvoA1xw7a1IDdlIszzccPVVuOiKG5EngbaK2aWjhlcz/elPgvhtxfT69D/96Nd1yHFb2C/7tvbPBUlQbDuJYCA1bOCUw0fgg3ffRuuapIEE+mJ7WkJsSXA9wbUF15C8PZC8PxhQNHl/IHmfrIutlSUiIqIdxy4YRET0i0hQtrWgdFcj9ykDE2Zm5Wy1JcCWJYJXQwXZM6ZPxT/vvAEfvPM8FsydgG/GvK+C3BjijoN4LA47FILjOsjIzEDLFi1gyXH6lzSy8NV+C9XRKCzTguH/OCCW69u8qF9B0LylRVe4JbJL9m/Bzvo5S7JCujfIoJAytsMvTT6IzfdTsx5I3h5Ifp/cWqS25H2yvq2yREREtOOYgCAiol9EgrPGQoLQ0aNHY9XK5Wp9++/bU7Grr8pXVUbx1RffoLy8XAXfz+KWW25CKGzBtmWxdSDueS7U/9E0rwkmTJiINu07YvXKFbAtVYk6f9wFIuGI/mZepxl+JimQnJT4CYmpkxdlq2VFTZkfSTp2+xm65YM8SxmPgYiIiBoXJiCIiGiHBE3TQ6HQ1gPWXdAnn36KlStXQsY02F6eROimjezMHFx95bX4+z8fwDMvvovnX3kfw0ceoXalqJjcQNfu3bBhw0aYvgep3lfHZTdtDsuL6SktN+UXISu3qR6jQCcKvMTyc3SZWsUkmRJ8u/+jb/ilqNRb62cajAFRO9kgM4P86PjtJOVlalEiIiJqfJiAICKqxyQYlIA/CPrrC7keCSSD66pPiQi5prq4HgmzvR0c3DFk2Ni0Zh2+GP0evvr8PUyYMFZVFMfsudPx4Ufv4OuxX6KysgIHHnQQZs+erdej1VEcfuRR2GPPvdCjRw/d5WLcuHEYMXIfPWhjMj3+wlYSIvLz0ftqdicnLpKX2gkKKf+j47ZSbnN9O/KsVVlp7XH66aejXbt2NRuJiIiosWACgoionguCfMdx1eL97otcTuKSTP1euO6Wy/72i1tnCQiZKaF9h/Y7lIQwfQOmuq6iTWtxzz9uxIcfvIWMjAg+eO9NvR6NVumgPCcnB3vvvZeeblIifVsF6blqm3T3kFkasrKzMGDggETQn3RvP9f6QCchksoEx9dekqkjflJv7TJiS8f+HCkvCYgTTjhh8wwWRERE1HhwFgwiatAayywYV111A+bOGosWORYMz9JfRkug+HuQ4FS++ZZm9DKgoO4WoH79XDBcV3QKxNCdHZBfUIl+Q/bD7Xf+TXcR2VnkozJxfz5KS0tx+tkXbOcsGOoaPA+WX4lXnn8cL734DA457EikZeXi4MOPQtPmLVW90r3B110aqivLkZaRoao04Kgfckhtq6ysRDhsw7bD8GpmjpApPIWr9huqfsNzdNcNT86nXnWXCf27JPERL5duSWsJz4UDC45uuSAJEr07QV1D8COUe9WJL1VIikiLCBkv0lD1u+rCDMuRreqcFjxfyslRW/tOI2kWjPfeRsuWrfSMIjK9pfzeISIiosaDCQgiatAaSwLi1BNPxB9OsjBqSDosJ02PLWD4v28jtiDh8Pt+jKhAWT0G36xWAXoIX329Gq99aePfDz6H9LQfd1f4tebPn49WLZur4N7e7mk4XdjyoGD7cbXEcPPVF+KT0R/isWdfxh7DR6K0Iqqfo0zJWVJUhGhZMapiDrKbtkR6dhPYbqKrS9DNwjAcnRgIEhDV6vdA2PCQaqlzOQ5iblgeSU0CwlPriRYqsVgMBRvWqU1xuEYYuc1bIxSOwE5qzWFaMlXoD91qggSEZBcKCwvVbVYiHrPRonkblJavRywaV+9dtG3fPjGbhS8zWtRkMH7khwTEh++/iyZNmug/rxdeeCH22muvmjJERETUGPy+/3olIqLtIqFdqhdF2K2C7VQh7JUj5JX+rovtluhlS/t+u6UEEXUNEVddj1+GkFsGy6ibhMiTTz2FOXPnqiB9+z86DdNV4XtMvcaxKX8d0rLz0HfwHnjmqSdRsmk9IiEL0gJCLrmkpBSvvvIK5s6dA9eT4xL3oRM86j9JCMjMETKLhK/WZZGuGsVFRfj6m2/w0YcfJpITtZIAvp/okjJn3ly89OKLqI5WQ2bxlBYXktgIEknSomXjxg1ygK47kXyQZIatp8x88L77UVRYqLYYWLBgAR74j3pfXKzrrqliO0jLi8RCREREjQ8TEEREDYDEaz4yVcCYo9Yz4Pnp6n0KF7W4avEQURF6RAXWalHR9XbHwzsgHott7gKx3Qwf0Vg5lq9YjP899l+MOOAg3Hzn37F0ySLcdv2VWLt6JeJOXBfNa9pUJxj2GTkSeXl56t6SqBuS7i6TJ05AdXW13iRBvDRgkKk8wyEbUyZP/tH1BYkFeU1JiaCyohLZWVno2asXIuGwqr+mW4n8p16lJdHE7yfoBEtygsBWdcuxkdQU9OnbF1nZmSjIz9dJh779+tXMhlJTeDvIuWQAytTU1JotRERE1FgwAUFE1AA4EiT6rgqwo3DClepNNXzT4VKzeGqBrBsqAK+jFhBNmzZFenr6DgXbIcvAiiVL8OZrbyHuW2jdrhMycvJw0BHHwczMw7vvf4iCjcWwfRulG9fAskPIa9YCnhtHxPDgw4FheXr8Bcv0EY9V6qk6I3YEETMVtuMgPbMpOnfqhowUSSo4qg5g8ZIF+Gj0B3ClN0XcQoppYMK4Meg7cDd4nqvHjLDUs/K8OEzTQyis/jngxxGPViFs2EixUtX2kE4WRNR5F8+Zjl69+qO8ogxlResxZdxXGDJ0L4RDqepa1Tl0d6BEwmNbJLEhCYtbb70Vffr00UkVIiIiajyYgCAiagAkjjQ9QwWOEuT5evBAUwW0XGQx1KI+zjzpyiCBtH5kO5V0bbj22msxaPBgHcBvLycaR88evXD5VdfgxlvuROvWrZGZlY3zL70cd9z1H5x34YVo06otLPVrxtTJ6Ni1C1zpRqHuIVpVoWJ6DxvWr8W8+XOwYOE8bNqwDosXLsS8OfOwZPESdd/SvaLm3nW3DfU7RR1cXVWJspJieK6HsJ2CkvxCrFyxFB27dYPryoCX0ANeVldXYvHihZg/fy6WL1+C/I3rMW/ePMybOx+FBcWqPnUhnoPCTetQXFKGyRMn4tNPPsSKZUv0felkjE4+bP8/JySpIa04JPmgx44gIiKiRmP7/8VARETUiMlsFNFotObd9pMOITJriHSPkHX5JYkBeS/Tl6q36j8f33/3ne7SoFsJhEOYMWOm3l9RUYnCgkIUFxUjWh1FWXk5SopLUKwWGQ/CkGyF+jQ3VWAvAX08HsPg3QbjzHPO0d0nTNPAlClT0LZtOzRr0hQh28byZUuwYcMGxB0H+QUFKCoqQnlZOSorKvSYEoVqqa6uQjgUxpo1a2Gqeo888kgcfewx6Ne3LwYNGoRmzZrBMi19/dtLkg+SeHjsscewbNky/Z6IiIgaDyYgiIiIfobMKvHiSy9h8qTJO/StvR5gsmbGip/w1X5ftzHAunXrsWjxQnTp0kUnGN57913kb9qouyt0694Nw0eMwB577Yn27dpjyO67Y++998aQIbvr/TKQZEVlhU6QyJSYaWmpmDhxIv738MM60SEJDRkfQuqW/TIF5ltvvKkHoWySm4thw4Zh7+HDMGjgIHTu2AnDhw/HiGHD0aZNW51cmDNnjq4nLS0NTtzBgoULkZOTi7ymTXQCY0fI86ioqMCMGTP09RIREVHjwgQEERHRdpCWA7PmqWDcMvWUn4Z0/5A5QLdJRfC6i4LMdmHrV5mu0oCt38uYDwVFG/D91Ak44LBj8P2Eyfj040+wYf06DNptNz0Og6ti/HjcU8G/p84dQlRtqHaqEXWq4KuAftWy5Zg0eTradOuLb8dPQGlJJZo2aY6OnbrCdaOYNX86MvPykNOsDUZ//DG++eZr3ZWkVavWuu5Y1EU86iHm+PDU9VQ7UVQ5lXC9GNav34B1+YVo2aGrqrdUz4ZRXFaBtNzmWLtug27ZsaVWDL7hI2b5iKtb9+SfGuqepaxlmsjPz9eDbMp0nERERNS4GH7yUNdERA3Me++9p0fvP/fcc2u27JpOPPFEXHxsBCP3TEHcNxCSL551QEueDNZoRmFZYXz1zRq8MjYN/3rweaSlpdSU+PXko1LGRnjzrTdw80234JiTTsfJZ/wZ/XfbE45MWbmdZCwJ3fJh8/SXjnrr6ZYB0spCWhpIAdO2Euv+Dz9j6W6xaPE8dOrYAeGwzPYhwX9Y75NjdVMKRabwlPeGKd0+4joHEuzXx1jqXGqjJDRk/Ai5Dpn5oqgoX/1ZWofu3Xvo69TXJ8cG16aOlek5LVVWX6UjiRXpPPLTJIQMnxm3pLMJEFKFy/LX49qL/oiPR3+AeNzRiYyePXsiJWXn/YyIiIio/pN/PRAREdHP6N69O0475TS9PmrkcEz6/nPYRkx/s7+9uXwJ5n9IPojEmBBCJydkVe1znZ8OdCldP/r27YNISqouI107pJ6gLt2ZQ60nkg0116T3y7SaOv+g38v1SpJCHy+jUar/pGxuk1z07NVb0gl6n4z7IDvlOEk+JK5PXZs6XldYc61bYvgGbE/VEY8jMwUY/d4r2HvvvRCJpOiWDwMGDGDygYiIqBFiAoKIqDGReFGCztqL+u93JeeX66inJMi3bRudO3dBvCqGM08/FWtXLsInn7ynA3MJ4LdrSaQBam2r9V4tPylTs0jrAXkNBNt/uAZpm6C2yyKJAnmtKfPjJbE9IOvS4kJaWSSOrkmIKHpf0nrifVDPj7f/sKiNDhCxTHz3zReYO3sSzv3T2brlw7PPPqufJxERETU+7IJBRA0au2BsH5m903B9OHEbpbEQXL9MbY3pWNO0DGSm+oikhNUmaTwv4xtE5AC1qDLw1PGW2q4KyzbF9MIIvrn31fV4huSzpby6MJmVQW3bPN6BnMNIBKrCV3WoGtWaun61H25Y3VMVyssjyMwsQcjMhG+r6/MSYyaYql6pA766Pt+GZ7qqDnkAQp1HxlgwY4kuGONW45WxkZ3eBSNQXVmNhx56EC1btdQDN973wEPYkF+M1i1bwbLlGcm97mhwLUdtTe26apdN2q92yV7XdXSyJGFH6hbbKl/btu7TUNfhYeOGtUiN2Lj0kgvRrGlz/N///R/2339/HHfccTXliIiIqDFhAoKIGjQmILaPrwJ+ww5j7qI4bvzP11i6qkQ38/d9F2mRMPbq1x7HHdMZew/NQSgaheGp4N2UJIGMIaCOlqBfN5pT55Sm9WpNwk/9CWI6cM1qVUya7Ms1yV4dCqv/O+qdDNb4QzLANyShIckK2R9XgXsqJs8uxr/vW4ibbu6M7q1a1DSGkOuLq+PVL6lbxkNQi5wLVqIlgCRBfD8CQ9VpWSF89c1qvPKVJCCeq5MEhJg5cyZuvfVW/OEPf9CBdP6mTViyZAlicXUv0v3hd/p2X7peTJ8+HbNnzcLZZ5+NaEySR78X9btFXY/M2tGqdWvd4uHJJ5/Uf1avu+463dJCupSwJQQREVHjwgQEETVoTEBsJ/mrPhLC+NkujjzrJRw4tCWGDGivp1WsrHLw+ZfLsbZ4E/5226E47WAVMEarVP0h+IYKEk0ZB8DV32jrmRzU+WUYwprhB2FYHjwzBl83jticmtCLGZKBFdUW14Y0gpB4M0hASFLEtNQRIR+ffluGP182Da882Qd79GgBz0lRhdU5THUG34TvyLllsEMPriQv5DLUPZm6pUUEnh+H/RskIKQrggTWMo3kwoULcfTRRyMcTgwEWR9ce+21eprN1157TQf4vzdJNJSXlyMSiSAejyMjI0MnHXTyiMkHIiKiRkf+pUhERLs46VYhLQrCbiWsqI8TD22Hq64YgOuu2A23XzsILz45DH27d8SDD03FyrUlQCime1BEoy7mztqEKRPLUFEWhmnFYVjSfcNV+02UV1Zi1oxCTJvoo7wsQwXn6iCjSr3K1I5pmDfLx7QJlSguqKgZ8FAFn4ajgmMfVaq+Kd+7WD5LBfVODKZRhpAn3T8kcVGhAlZT1V2F6VMKUFoeS+RbzDg8L4KCDR6qyiOYM7sUy5cX64BW6q5reoBHRQZRPPbYYxEKhfDxxx/j3nvvxdSpU1FVVaX3y/VI8C1LMH6CCLbJEpD9tcvuyPFSVsoUFRXh1Vdf1bN1zJkzR++rfXzyufQzU7Z0ruRtyWV/7nhZpExpaSneffdd/PWvf8XDDz+M6upqZGZmbk46MPlARETUODEBQUTUCEhrhcT/Tbgq+KuOOkBFJZyKEnjxCnRqnYnbLhuA5as3YeqsEhk9EOMWlWHYGR/jpMu/xDk3f4LhJ72J9z5PhSdjRBgOxi+uwL5nf4qzrhmDc2/4GPuf/T4mzk+DZQOzFzjY9+TROO7id3DurZ9jyAkf4/E3V8BzHJhOKibMcLH/aaNx9k2jccJFn+KuR1YjLsNH2Op/IR9TZqXjoNM+xqlXvoezbxiHPU7+EK+MLwasdBSti+Ks677BX26ZihPP/QyX3zoLy9da6rgq+KZa9IARdS8YZ2H33XdH8+bNdRJCEgDio48+wqGHHoq9994bN954I0pKSnRLgMMOOwz77bcfjjnmGD0gowTr999/P4YNG4ZRo0bpARrFtGnTdPcOOf7KK6/UAb2UveCCC/QYCiNHjsSsWbN02eeeew4jRozQZVesWKFbZjz44IP6eKn3iiuuQH5+vm6BIN0f5Pz77LMPxowZo4+XBIqUk+2yX0gripNPPhnDhw/HWWedpbuYCNm/77776vONGzdOb3v77bcxdOhQvf3mm2/WSZrCwkKsXr0ap59+Oi6++GJkZ2frskRERNS4sQsGETVo7IKxnWQMhYivAv9qHPyHN/HQLYNxxgl94MajukuEDRNrC0LY58TncN35Q3DuGd1xzB9GI5SWhr/fNAy5TTJx733f4/OP5+Gxh0ehR7dOOOLUF9C+bUv8/foDVOCfhUtvfAV+rBRPPXYGLrnmLRQXe7jz5sPQslkaHn1iEl566Tu89PhR6NSjJf544dvITFN1/u0wVJZFcPX/vYPvJqzAF28cjs6tWuH081/T3Tfuuesw5KSn46EnJ+HTzxZg9CunoaxiDY65YAIilVFcc/HeyG6Wjd362sjKjmLMV/l4dWwG/v1A3Y0BkUySAsHHqHyrHyySbKioqND7pPtBVlaWLiutFGS/rOfm5upgvaysDLFYTK/L1JTp6n6lxYDUIS0K5HgJ4KVLhSQSgpYGMp2ldP+QVhdyLklePPHEEzr4l64YEvxLCw2pV7o+BOeKRqP6eqVFQnAuSZDItUp5uS65Hikr2+Q4uX5JuMj1y7nlHtLU743U1FR9brlWuT4pI9caPIfgeCIiIiLBfxUQETVyOlCUgFH9slQAKUHjwqVVmLM4huOO2wumU4KSdWtx6KFDsKnUxWffrMF30zdh9WoXfzljANq22Ih2uWtwx+XDcfqJQ/HdjHxMm1eGm67eD4N7laJ1+ipcffFuaNG+DT4fvwrfzdqAKfNKcNl5e6N9s1Xo2a0QZ53aEZlp0qvDxow5pVi4vBxHHz8SRqwcZZtW4JCD+qO0IgVfjF8ENxyDo4Lgv5w9HMcc1Rz77ZmKzLAKqmNhSCpF3VHixn4DElxL4C2v8hwDEvC3aNECLVu21AG9lJFFWko0a9ZM75NgX7bJfnkv24NuChLYS1k5XhINUk40bdpUl23durVOTEhZSQRI2QsvvBDXXHON7hpy2WWX6WOlvBxf+1yyT5IPQpIewTYpK3VKYkOuR+qVOuS93GNeXt7me5DzSlm511atWuntwbUGz0Je5fcTERERkWACgoiokZMA0VChu3wzXlxUidSMVCxdXoX8MuC2Bz/AyX+ahFPOnYQLrn4Tm8p8FJUAS+cUwvKq0baDCvyrU/VAk/16puDEU9siWrpSt6jo0FQFzdLCIt4UkbRqtO6Wi6JNVShaH4NXEUfbvAjghNTx1ejaNoy0iAEzVIlNRfn63P984AucdM6XOPWc6fjztW9hTWkVlqyqQIqnAmoHaN9ZBblxE15lOoxYJuBm6ESKDG75W5NAO1i2pnZLgK2VT96+rfqCckEZSSjk5OTo5IW0REg+Nrlc8vbagnLb02ohKLul+pL3bWk/ERERNU5MQBAR7fJ8wLPV3/jV8ELF8CwXph0FwnEYIUMFq6pIKIYvJxQhPZyGTh2awTRctMiK4d3HDsXHT+2HD5/ZF1++PgKTPz4F153XCxl6ik4LVW6qqjsXpmOgqDSGJTMr4ZkGLCMGt1rtc3NheCog9lPgFpch1fKRETYQVgFulVsNOKpMPBNOLAzHS1PvTaSoutvkhPDs/Yfik5f3xjvPH4IvnjgaU149Guec2BqVflTdQxwhIwLfLEM8XAI3pUrdTxVCngOzEX/hLt0jgtYSRERERPUNExBERLs8Q/1tH9PjQIScDETcCAqLbKxfC6xZByxaDjz/toNb7/oEw4d3RP++YXTrm45IOIJ3P1qMtHZhNO+RhvkLbVx+zaf4etpqDNm/C6ywjY+/Wgi3aRGcXBOPPbcQ5134Idq27IqcnFS88dESVIVc+K3W4MspCzBl6mp079cJvXZrimatMvHWR8vgZjnwUm2MHrMexZWliNsuOnVvDoQsjP5iDdJbZ6NVdw8LN0Vx6T8+xfrVYYQqc2F7IdjScsP3Eh9keuBJNvXXrVnY4oCIiIjqKSYgiIgaAd905H+wHROZVhT3PTMLx13wCU6++FOceMEHuPaWV7DfiHa46Yo9kW6Vo20rB38+YyCeeGgmLr5kNm64cjH++tfPkJmdiz79WqBzVwcXnjsMzz22AJdfMQdXXjkFr709A2f9eS/suWcMfzqtK/737FhceMlkXHPlMlzx18nYZ4+eOGBUC3TpUI3LL+iP11+egssum49LrpqITz5fppMJbnkWurVvjj+d3hvPPPk1Lr1wIW68chHOP/8jpKRlo1u3puo+quC7PnyvAvAiMDyZYpTJB8FBH4mIiKg+4ywYRNSgcRaM7eMZHky1rN8AjP6mEPmFm9TxcRXEe0hNT0efXu0wqA+QmxGHV52pthtwrGJ88X0Un45bibKiKHYb2gJHjBiA9k08OKiGa8bx/ucbMebr9Qi5NvY9tCUOGtYXKVgJx8nA51OLMeaL2agsM7HbHj1w+IEmmmdJ/qAlHNPGF98sx/ufTUdmdhPsM6o9CpfHceDIEFpmt0GVWYqvppXh40+WoiRahsG9m+DEQ3qiZdNUFJVV4t2x5ThotxS0zktX15IKI1wMywrjq2/W4JWxafjXg8//JrNg1Dcvv/yynsLz7rvvrtlCREREVH8wAUFEDRoTEDtImucb8g15MFCj+giQbZaqy4mrza7aptblk8FU63YIXtyFp4rbYXWcOjcctV3XozZaFtyY1GXAkv2OOtBX702p04LnOPBVcemuAaj6Xdmv1mWgBtNUp3TU5chMEupYT/apwnIOGcZA6o6qc8vcFiFLnUHtl93ql2GqAlJerXuG2mJWMwGhvPjii5gxYwYTEERERFQvsZ0mEVFjIjlnSTJI8K4XtU2SAjFJPkgBifzVexlTwVcfEXFXf1DYstlRBVxJPkg52S/JCE/yBGpR7yUxIZXIfjmP4yTyEJJ7cB21yA5VmyQuZL+qy7ZkwMrEuk5cyMFSTFbVuaXukGXCkGuU6hVDCkhGRK5BC15JvlPgGBBERERUXzEBQUREP29bMb7s29r+be0Tv3Y//QQTEERERFRfMQFBRLQr0IG6dE6QLgk1MXsQvNfFQvWS53lMQBAREVG9xQQEEdEuQbICLnwjDk8teryFOllk8AlZmIWoj6QLhiX9VoiIiIjqISYgiIh2AZ4Zg295MEPpsENhGOkhIDNSB0sYSLUhLS2o/uG40kRERFSfcRYMImrQOAuGMOCalaiOZWDMmHysWlOIeNiAXwdN8V3PQ88uTbDf7rmISMJDz6jx+5IpRn0zylkwlKeffhpLly7FnXfeWbOFiIiIqP5gAoKIGjQmIBI8K4YZ8wwcefrL2Fjpw/Hi8PVMETuLKXkOyMwXg3rn4oX/HIDe3XPhxxz1QSL7fr+PEiYgfsAEBBEREdVn7IJBRLQLMH0TReUxrC2thmuYyG6ah7zWLZHXamcsrdC0ZTvk5DZXZ4qjoLAcldUGYMlHiEypKa8c+LA+kO8UTJMf7URERFQ/sQUEETVobAFRw3Tw5eQoRp36PJo0bYXL/34rOvXqBScuA0f+OgZMhF0T86dNw+3XXI5OrdLx+mPHYreBOfCrojC8sDq/tLb4fT5O2ALiB08++SRWrlyJ22+/vWYLERERUf3Br0mIiHYxpmnACKfBD6fvlMWLpMJJjwBpYV2/tHVge4f6Sb5T4DScREREVF8xAUFEtKuoadAmAWjItxD2bLXI669bQq4KaA0Pjp5+U51G1e/JufxE9wvfcGvWVTlVHl7tjxYpKy81+3WXDaoLTEAQERFRfcYuGETUoLELRg3bxWffV+CQ01+GFUlH+44dkJqattOmZZScQVVlKZYtWIh2rbPx+sNHYI+BqWpjBJ5dCcOz1WJJ9iORbDBrnVcnLCSRURMc78RBK9kF4wePPvqo/vNwyy231GwhIiIiqj/4NRQR0a7A81BdWaX+UjfhOC6WLJiL2dMnYc6MyTtlmTttCpYtWKRP5Tg+fEkm1CQ3fBjwDBOu5cKPROGFqvXWgOx3TbWE1P5wFXwzprb++Fv65DyJXlUbgk3Mk28/eVYchJKIiIjqK7aAIKIGjS0gEnzLwTuf5+P4899DSkY2+gwdgsycXHg7ZSpOE4YZQnH+Bkz/+ku0bJqJtx4/EnsNigCVKXDC5fDUtcSqLKxYUYSe3dvC8qrUcfLx4qt9gGNKQiGCtatK0SIvHWkp0mVDV55gSkKjphuH7JD3hgnfle4danUb3Qo8Q9WtW0CE2ALi0UdRWFiIG264oWYLERERUf3BBAQRNWhMQCQECYjjzn8HuU1a4KRrrkeLrj3g7oRZMPSHRAhYNXM6nr/jNrRpmo03Hj8Ce0oCoioFrl0O3zRQWR3B/Q98hxbN2uIPZ7RHql0NxDPhRjbBNbLx6WdFmDVjMS79y55IT3HgQV2baWPZsmpMm74c/ft3QfeuWVixvByz5y1DtKoK/ft2R9fu6jzOD9/qe3AlI6H+s+F7nrr3KvVh5qqqQhjzzQa8OjYd/37wuUaZgHjkkUdQVFTEBAQRERHVS2ynSUS0i/F8FaL7/k5bHBXke44nFUvt0qFCLUHu2lfBvwXbMZGWWo0zzx2G+WvX45Hn58CJpQNWmdqfhVdfX4jX35qKU08cgvRwlarGgWnbWLqyGt9NXIq0Ji1w+Y1j8fro2fjm2+Xov/tAtO7ZDjf9/Sus2VCu6gk+rtR5TU8PfOmq63FhIe6mwI3mqDplu1xX4/1o43cKREREVJ8xAUFEtCuSQLQuli0y1a4wDNdF6xZRXPHXgf/P3lkASFV9Yfyb3A52WWDp7u6ywEIRsQUUxUBBVMBEBQxURAmxu8VGRFFSQbq7u2Op7en//e7MWxf+S8/2+S2XmXnvvvvevJp7vnfOudi9w4Ff/tgFhPswY3oKZs1OwjOPX4TKZThKhhUcVcPnDcXubR7ERjhQsawXa7d4sHTtYXTt2hgVyhxE2aoO7EkJw4at6YDlpBAM9ZGpDpIOpeCrrzdh+t9Jql2GitA74lTbWfShACE5IARBEARBKKhIL0UQBEG4QJi7wQKLJwKWDA/KRwCP3NcIC9Zux1MvrcaUuevw8APNUKtSOLw+N7wmi1rGBJc7FeHRDjRoWAsrNxxAaIlw3N2jCcLtyfB6Q5B8xIz09KOILWHLUfygsW2z2TFvyX4sX3cAsJlgoQih80gUT7hPLBbuX0EQBEEQhIKHCBCCIAjCBcKfEquyfq0weUIBhxmVK3lQtlw8Pv52A1KVPVyzRiTgccBjNsNtVRNUXatarGH9WFSqWgoLlzvRuL4JVRMz4XP54PSFYvZsL8rE+1CrRii8zkydzNJncqt1KCNbLW+xmRAZbUNc6QhUbRgLhFJ88KhtKd4eEKdL2CkIgiAIgpCfiAAhCIIgXDgmJ2BJA6xuICIeE6ckYf2qA5j4w6MIt4fg21+2wYco2ExeWH0uVd8Ms8+OUKsNHncmNm5JQpsmZWBlO9ZQeExu/DFtOerXSUREaCQyXVa4vW74LD74THHYs9eHbbszsGpTMvYdOoIyiernzMOknD7VNkWI4onkgBAEQRAEoSAjAoQgCIJwAZjUP45mkQ6f2QuvNQxTp2/BlOm78PiAK9G2fjJ6d6+BRcv34asf18PjpvDg8C9HY1m9bNyWiqTkNLRoVBUmjx2wuLF+3TFs2XQMF7Wriy3b3Fi6bB/g9SDTHYXxU7bj+1+XYe7CPfjih/VwZFpQsVQ44KJnhYQfCIIgCIIgFFREgBAEQRAuAJ/6Z4LJZ4PDHY3Pv9uA3/9ahwfvboxaFdOBjMOoWS4Uj/VrgTW7kvH+D2vgtkTo5fTTeosPS1cdhtNsRcVSoYA7FJZQHxYuPkK9Aa1bJWLBss1qGTPsoVH48Zft+OG3NbjphvrocUtDhIdFITrcgvJxIYDLDi/HCy2mGN4PEoIhCIIgCEJBRQQIQRCEIohXGaFec/CKyaQMe508UqeczCHLghWONAeOHdiDvve2Qb3aofC50lXFSHidPlQr40Wfu5vBanYiJTlN/fooIzkwWsOu7ftQrVwkwqNcqr4NXpcJDRuUQoUyofhr2jqYvR40a1gCx9PS8PkPc9CwfnlUqhyLlGPpOHrwMGpXC4M1PEJ7YXB0DfiK70+b1+uVUTByBZ8+793qxPcH+PAKkCJFSl4XXn8svB7/my4IQmHC5JOAUUEQCjG//fYbDh48iPvuuy8wpWhyyy23oN8NIbikdShcPhNsbjXRxJwHASxujJ92CDc+OAGxJRJw/aP9UapKdXjcyqi/QPgrYbPasWPlMnw/6lUkJkTjlw+7oHWTUCAjBF5rOsxeGzxeM1zKAA4NUdvl8XcPCX9mfF4PTGaL2nb/iJoWk0l3G02qG7l5vxduqw3VEh2wOezKiLbBF2LGjt3JOHzci3o1SiHcth9b9rpw/Z1/YMTgTrjm6mjsPxiC2+77EQMeaI8r2pRDRFQaZs4+hO/+icDItz5DeLjavmIE9/OYMWO0B0T//v0DU4XgoM5hdbZmuL1ISVPnu8+r9nNgliAIeYYHFn3tRav7eygzGWvkYhSEwoQIEIIgFGpEgAhgcePX6Um46YEJsIZEoFK92giLilaG/39CwPmihQLV48s4fgybVyxD2fho/PTRdWjTJATIDNMChMnLoTJVZ1D1A1n/5Gfw3A7dDp/Oq58dtuf/+THBa4FqwwmT2wmrO0rNt8LHZJRMJmmm4WdV7Tlw4LANfQdMRu9el+GqS0rhk28X4p3vt+Plp69EvPUwmreOx7/zDuC7f8Iw8q3Pi6UAMXr0aFitVjzyyCOBqUJw8J+rh1LSsHDJKsTHx8Er3SdByHNM6u/40SOoX7MqyieWUlP816YgCIUHESAEQSjUiAARwOLGH7OOoss9v8ALhkqwQu5QMSEa373fGW2ahgOZfg8IChCm843qUz9DPuaR0I+UffCo70KHd4tXfUWvCR6TDWazQ9Wx4p+5SVix/jCqlY2Fz+PGonUHUT4hDNdc0QAVa2Zg5t/b8N2MBIx868tiKUCMHDkSISEhePjhhwNTheDwnwCxbftutGxQKxCKIQhCXsFfiAyPF6vXbEBifCwqlktUU0SAEITChggQgiAUakSACKCM9mkL0nFlj29hC41EncYNERkdo3MCXCj8kaD/QvqxI1i9eDEqJ0bj+/euQ8vGUfBlqpkmr+r+sQN4np1Aek7QDcKk1mRyqbdueEwmWDwWmH0WtWaKE5nq1QOPORy79qeqVXpQsWw8klNSkJrqRkJCFEIiUjFz1i58NyMeI9/6qlgKEKNGjUJoaCgeeuihwFQhOGQXIHahZYPa8HpyT+QTCi/UUaVnnTtQpM70ACvWbUbp+FhUKVdK7Wwq1TL6kSAUJkSAEAShUCMCRACzGzMWO9Cx21dIKFUWDw9/BRVr14XbdeE5INihDlGvG5Yuxkv9H0WlshH4+f0b0KxxLHwZDpi8drV+Ch159HNiCXhaMM+ETmYJeH0ZMFtsmPnvHnz3T3ixFCAoNjEEIzw8HH369AlMFYJDNgFi2y60bFg7KOKeULRgl5pJYKVrnTvwt8jh9mLZ+m1IiI9B9bLxgUtTBAhBKEycp7+sIAiCUJDwm0eGB4IJ9rAwhEZFIDQy/IJLSHgYwlSx2e2B9vMZCg9GkkuvD16PR31/6fATMXwEIf9IT0/HsmXL9JN6uRYFQRByRgQIQRCEIoBfevB3eJ1uF3at3YQtC1dg6+JVF1y2qLJquWpr6xbdvlBwodEjho8g5D0UHXbt2oXBgwfjyJEjsFjkqbwgCEJOSAiGIAiFGgnBCGBxYtaCVFzR4we47JGIjQhDCJ/CBWZfKF6zBW6nC8eTj6FqmVD8+N7VaNwwAXBzDZQ/8u+nxGvywmd2qA6/vViHYHg8HrzxxhuIiYnBgw8+GJgqBAf/eS4hGEJOsCtNweGFF17AW2+9hW+++QZXXXWVnCNBRkIwBKFoIB4QgiAIRQG3HWXiSqNGmRhE2dzIdBzDsfTDOB6kkpp6CJmuY7CEmFC2YhRiomw6/MFP/okPwonQEPKPJiIIQl7BvA+pqan47rvvcPjwYSxevDgwRxAEQTgZ8YAQBKFQIx4QAUxOuH0hWLn2GNZtPagsUZu6wQdLY1Y/EyYXfzHg9fpQs3oZNK9bQk33FAgVWzwg/NADYsSIEYiPj0fv3r0DU4XgoB+zigeEkCMUICZMmIAHHngABw4c0PfrDz/8ELGxsXKeBBHxgBCEooEIEIIgFGpEgAjgo0eCeuUMs7qtswT1QTgbCzToUW1z/QUEESD8GAJEyZIlcf/99wemCsFBWzkiQAg5QgFi9erVmDNnDt577z0MHz4cbdq00eFQcp4EDxEgBKFoICEYgiAIRQKKDurFo4pTfdLFF8SSrT2uQyiQ0NiREAxByFt43dWvXx+dO3dGmTJlcPXVVyM6OlrEB0EQhBwQAUIQBKEooEMk/GESvLNzSE6GYASv+Js2ilBwEQFCEPIHt9utiyAIgnBqRIAQBEEoEojRWdxhRCWLCBCCkPcYEc3i9SAIgnB6RIAQBEEQCjmGwS2uGUQECEEIDryS9NV0hkuKl5yuq96cbWo1o+0zNC0IglDkEAFCEAShMOCzwG2KBDx2WNxWeC2qo2v2SFGFnX6zNwLwRqkfteKbjIz7QXJAFC6YvJCFx+xCjpvRRk6cb7vF/Txy+rxIhxcOjxtelwcetw+MrsipuFw+ON1eOJ0efa+mFppTPaO4VFvpXg8yfR61nBs+8ZoQBKEYIaNgCIJQqCnqo2AYLvW333Qzet9mQYcWEfB6LPBanXqgi3yD6w7YJ8w34ctX7wO1IT4bzNZQzPp3E76dEYmRb32NiGI4CsawYcNQuXJl3HXXXYGpQnDwn/DBHAWD1zbbMK5xq9WqX8+nXR77k0UIo3vHV847VwwxK3ubxQV+Y6c65m+//y4mT/xD7WCOtKP25Sl2BSdzH2dkZGDd+nVo0riJ3u+nuisyj45VHWavOm6ly5bDwMcHonGjxhd8ThV1eCrKKBiCUPgRAUIQhEJNURcg2CFlx/aeHr3gcyxFjUoxytiwq96uE5ZT9YZzGS04qB40t4tFG1Fef/6BfMGkOu3KOrBaQrBh815Y45vizXc+QmhoSKBC8YDJ7yhAVK1aFT179gxMFYKDtnKCJkDQqD969Chef/11HD9+XF875cuXR48ePVCpUqWzvpZ4/a1duxYffPAB+vTpg9q1a2sxwhAytmzZgmnTpuHuu+9GeHj4ObX78ccfo2nTproUN8OY+8/pcqFqtSrYu3uvnkYT90x3XMo8rMOBgvh6qr3N6dyj+qxS63pzzBg8/Mgj57yfWd9i8RvffJ9bYhHbNc4p4xzievP6vODXEwFCEAo/IkAIglCoKQ4eEGTh/OVYtmoBXOqz2RcCi0kZGfkURWd0cXft3o3NmzfhiiuuhNPp0p3D/MEYF9Si9pcXDRvWR8uWLfQT5eKESxlML7/8MqpXr4477rgjMFUIDtrKCZoAQQN/27ZtuOiii3DPPfcgNjYWq1at0vPGjh2LqKgo/d4g+7q4bHbWrVuHTz75BPfeey/q1Kmj7xmGITpjxgw899xz+PPPPxETE/N/7fCzYVwacBrnXXXVVdqTpnv37hf0XQsj3B8uhxPVqlXD7r17EFkmAebY0nAH6Z7rU/dvmDOQsWMnTOkejB05Bv36n7sAQRYuXIg9e/bgpptuyhKfsp8DOXXzsx9vA9Zj4bHnfOPc4OcpU6Zg06ZN+lwNCwvD0qVLkZ6ejjZt2mSdj8byxvpJ9m3IaZ3GuXa2sAkRIASh8CMChCAIhZqiLkCQU3Xe8pvX33hDP3397NNPA1MKDgV1n+UmhgBRo0YN/SRdCCbBFyC2b9+Ozp07aw+FMmXKIC0tDV27dtVeEY0bN9aiwfTp01GqVCncfPPNqFKlChwOByZPnozZs2drTwmKAzzuS5YsQbNmzXTdxYsXY/z48ahQoQLKlSuHkSNH4ocffsDcuXO14FGyZEndzt9//4127dppzxmui23Q4Oa5Q7GiS5cuWsi69dZbi6UAke50oE7Vati1dx/iGreBrVp1uL2G2HlhcG9a3Rk4PHM6TCnHMfLNsXj04YfPeT/zPPriiy8wf/58vPfee/pcILz/8Rjze4SEhOh2OY1eC1yGx5yvTqdTz7PZbLrwPecZ908uy3qvvPIKxowZo39vW7duje+//x5JSUn6d5dCL0NPuGxkZKQWQVgIt4ftsj22y7qhoaFavOA0ihlczvDiOBO8pYsAIQiFn/x5fCYIgiCcNQXNkGbHkR3LLz7/HLP//RcbNmwIzCk4FDfxwcAwHISCD48TjbIjR45oQ5CCRGZmJkqXLo2vvvoKb7zxBhISErBx40Y8++yz2L9/P7799lttDCYmJmrvBn4+cOCA9prg619//aXDb1JTU7Fy5UoMHjxYG4D8zOXYBuH63nnnHaSkpOg2xo0bh7Jly2rBY8SIEbqOnEf/4YVVXVuqy0xjNyhFteW1qlcGtPknnS88vna7Xb+nWEAjf+rUqejVq5cWkH7++WdMmjRJn1Pk0KFDGD16NBYtWqTFrm7duuHRRx/VHjk8h/r164fevXvrcyL7OdCpUyd89NFHWtjg+gwxY+LEiboNest8rn4TGFr0/vvv4+GHH8aAAQMwb9483f7AgQN1KBDFCwoXt99+u/akOFvxQRCEooMIEIIgCMI5wU4pn9qyw7p582bdARUKBnzyKB36wgGvIz4J5pNrGmoUGW644QYtSjCnw8UXX6zDIGi0HT58WHs20NWeXg70nHj77bdx5513ajGQy7AtGpQ0/ChIsF0ajZxHThan+JkG5PXXX6/zR9SrV0+vf/Xq1VqY4DzBwFAOgkWw2/PDY8rjzVceSx5ber/wnkDBavfu3VixYgV27dqFmTNnYt++fXjhhRe0VwzFA36mdw3PK3rjsB3Cc6xly5aoWLEi3n33XX0e8fxg2BBzhbz66qtauKJ3zr///otZs2bp83TIkCFa9GKYEM/vBg0a4LXXXtO5ajp27Ihvvvkm6/wUBKH4IL8ugiAIwjmzc+dOtGjRQic8ZEeULrhC/kJjgSW7kSkUbPj0moYdn0rT+4FCxN69e7WYQM8IhkbQmKtVq5bOE0HDkHH3w4cPR//+/bWXg3G8mcySQsXVV1+t3dpZGEbB69M4LziN8JXTuU4agXxKTkGRIVWsy+nGckLhgceYoTwUGHhO8TO9FSgcNGrUSHs1MNTmxhtv1PPpSUMvBAoQfM/zjvd0Cl883wzYDs+FRx55ROeCYIgPk5pSFKOoUL9+fR36ddttt2HBggU69IfnIdfLc43iFkfnad68uc5TwlAfLkehS84xQSh+iAAhCIIgnDN0uaVLNw2chx56KMsFWMhfDENTKPjwWPG6ufLKK7WgQNd1us7T8KNxd/nll2vXdXon9O3bV49wwZh8ekS8+OKLaNWqlY7LN4SFiIgI7X6/bNkyLR5wOp9Q0yvGiO+nsED4pDs5OVmLHL/88guuvfZavR66xdPFnhhihVCw4XFiSA2hpwK90piY8oorrsAll1yijzOnMySDORw4n94HzMXAvCLXXXed/kxhi+dQToIA18FSokQJHdbB/CEM16CQwPYoXFCEpncFxQdDsDiZ7OcUz0sRHwSheCIChCAIgnDOREdH6/h0GkQs4vYvCOcOhQI+seZTZ3o/MPSCT6Ivu+wyHStPDwcae0OHDtWiwVtvvYXHH39cP72mSMHRMmjssR1+ZgJJhl8wLGrChAnaPZ7z4uPjtYDx5Zdf6th/jppBLyYmDaTBSMNx+fLlOnafhqTRJl+Fgk1cXJw+TyhSPfnkk9r7gQlIP/vsMx0WwXOEQhdzizRp0kR7IxCKyH/88YcOqWA+EIZn8Hxg6MTJMCmpMTILPXY4GgbFAyYx5ag7Tz/9tB5tZceOHTo8iL8P/F0gFDW4jYRJJ3kuEgogxntBEIoXMgqGIAiFmuIwCkZBgz8bNEzoikuDicnyhPyHT0FpqNLNmUPyCcGEXaXgjYLB64ceDz/++KN2h6cLPJ8IMxyCng10XacAMWfOHG3A8Sn1pZdeql3WKSIwVILLMCSD8//55x/9FJvGI8MpGN9PTwouw/sj18En1h9++KEO1eCTccbe01hkyMfXX3+t2+ZIGnzK3b59e53nhe7ydK8vbl1FHp/so2DENm4Pe9Wq8HiDk6/Aq84lq8uBw7Omwpx6DK+/ORb9z2MUDELvA+YGMe7LFLDYDkUlJhalkU9jn54QDKFgDgaOoEKBiaIW8zPwvGGYD5djGA9HZTFgm/SUYX0KEXxlWzxf+ZneFVwXP1PgoBcO6/O8pCjG84qeN1wHk6GysH2+Unzjecx1nA2sJqNgCELhRwQIQRAKNSJA5B/M2s+nraNGjcrq/Ar5hyFAMDcHDU4hmARXgCAUAIzQCF47fKUnEV95PfG9cU3xs7G+7N5GbIPT+YTbcGmnAWjAeTQYWY+vLNlhuAXrZ2+TbdCozN5OcYP7PV3tm7rVqmLX3gOIatIWIVWr6X0cDChA2D0OJP0zDaaUo3hj7Bj0f/iRrGN8rpx8XNmOce4Yr8zbwASjgwYNyqpvnGd85XczzpGTtyP7eUhO/py9PRZ+Nt5nr8v3LMb2Ge/PFjYlAoQgFH4kBEMQBEE4L9jJNDrkRidTyF+yGx5CwcYQG4zjxdfsRhrf8/pinez1jGmGwUihgO853zAejflGfWPZ7PP4SgGE84zpRmGbXH9xxgS1f9WrWb9LVzvSATOFnKAUF8xO7t8Q+JTxzDVcCCcfP8Ljx2JMY7gEc4oY4gAxjj0/Zz9HTsZoy+Dkz8Y6jGnZ32evy1ej/ezvBUEoXogAIQiCIGR1EM8FPnU1Oq1CweB8jqOQP/DayX795PQ+p9eTp5Hs7w1yWsYgp/oG2ZcrzrjNVjigDHT4kLZ6LZIm/4HD005djkybhCPTWf7McX72cnTan0j6ewZ8KcfURauM91y+bHlfYKiDkcchp2Nb3I+3IAh5h4RgCIJQqJEQjODAJ1F8MsZ43dn/zsbBQ4fYa1W/EoEKJ2E2WXD06BH8Mv4X9L6/t3bx9mlf2P+HPzNMPla7Vh00atwwMFUINgzB4Fj7fNLJMfyFYMJzO7ghGDT4Tjb6eK2wGPPOZx0Xsqzgh0fF6TPjumu7YsaUP+HxOcGAlNM9tbOofW6z2uD28F4IeE6z//1H3QSHqlmqdGm8/+57uOHGG+SYnQG1iyUEQxCKACJACIJQqBEB4sLRRo/6mzt/Hn786XuqC7AyLlj9KVMmUOv/oZFD0YLiA9+fFrUOl8uNGtVroNdddyMyIjrL0BKCA+P5mYmeCQSvv/76wFQhOARfgKBgxOESjWEvmSyQCR/pWcT8KgyTqFy58jldI7weOUIG74kcnYBtSTfv/PC5gE0bt2D5mmXweOkLQfkh52PBqWZ1z/zg/Q+xavUq9O3TB3Xr1c0KgzkZkzokHpMXDlXio+NwWZv2iCkRA68cq9MiAoQgFA1EgBAEoVAjAkRwmL9oPoa+NBTde92Ohs0bICoiSvf2TidAaFQdn8972nq6s+104fDhJIwb9z2i7LEY8vRQbRwJwYMGLRPMceQDjpogBBNt5QRNgKBQwJELOnXqhIYNG+pRCig6cASMl19+GWPGjNGjG3DITSNPg4EWDANdN0435nEa30+ZMkUnHHzllVf0iBZGXenunRvcXxazMmzPcAs0SElNRetWrbFh4wZ88P77uPfeewNzzgzXJcfnzPBUFwFCEAo/kgNCEARBwDtvv4trr7sGl3a4FGERYXB73XB5XHB6nKcvbod2Oc5xniour0u144RJ/doklkvEzbfcgLXrVmPxosWBNQvBJLtBKhRsMjIytPfDkCFD8M477+ghbWfPno2kpCQ9PCGHOqRRyuPJ91u3btVia/bjy/kUMjiPggVhm6xvCCRcD0Or5Lw4N7i/vMzPoPbjmQr55eef1XHYAo/brYdFNTxbcqp/chHxQRCE4oQIEIIgCMWcpMNJyMhMR/NmzeFyuuD1BDrE7BOfptCc8anOsyPToV7VhKzpfiOY0zKV8WM2+bOuu5xOVKlaBSVLxuux54Xgwn1MY0YMzcKB4dnAYgy5ySSBPIb8bIxWMH/+fC1SvPTSSzrEZty4cVnixaefforBgwdj2LBhegjWnTt36uVY2MaGDRv0chx+Uc6L3KVUqVK4//77UalSJVx22WVaRBIEQRD+HxEgBEEQijkpx1MQFxeHkFAbvD4PYDqTa7kPZooNHh/WrFyNDevXwWaxqmnKkDKZ4aBxlJ4BOsVuWLceixYuzBrWj0ZRTEwsUlNTdUtC8BFDs3DAa+HYsWN48MEH0aVLF3Tr1g316tXThqwhQmzevFknFq1Ro4YOr7n22mvx448/YsGCBTrU4o8//sADDzyg5zGHBOsTXm8ULgYOHKiv7QYNGvhFRSFX4PFiOM0TTzyBatWq4Z577tHhL5wuCIIgnIgIEIIgCMUck5kGKzvKfHrOpGl8f2pjhcnYmPH92OHDWLpoMWpWrQaTRxlMap5VLfbtF9/glx9+0oJE1YqVsH3LVh3fbogQdJ0QUyh3oMHDp99CwYfXQkREBHr27KkN1z59+uhQiv3792vxgfz777/aU6Jv376oWbOmTi7Kp+tLly7FxIkTtdHLvBEUKB577DFccskl+jrbsmULHnnkEURGRuo8ElyPGMO5DxPyshDZ34IgCDkjvRRBEARBw1EvzgYaTiwTfp2I+vXqISoqWne2Oc1itaDzddfgiisu15/Lli2rh5lbuWKlHgWD4RlEntHnDtznQuHA5XLp5JNXXnmlFhXuuusuJCQkYPLkyVp04AgKDLNgnexeLRSY+JkleyLX7NM3bdqkR0OhEDFv3jwRpYo4xnVvnCcn3wfkviAIQkFCfpEEQRCEc8JiMWPXrl1Ytmw5mrdorgwlt+rgerXBNG/ufJ0ML7FMou4MZ2Y60Lx5M8ydM1cvYxJDKFehoWEYIULBhqIArxUKBByOc9KkSdi4caMeipPiBI9jhw4dcPToUXz88cfaM2Lq1Km6MFSD4Ri///47VqxYgd27d+Ott97SYRkcDaVNmzZ47bXXcPfdd+P555/Hjh07srwqhNzh5GsvL69DHtvsIoSxLXw1Cj/znBPPDEEQ8hvpCQqCIAjnhNVqw6IFS1C9WjUtRnCEC8ZfLF+xHHt378UnH3+Gtes3wGK3we3zIi6hpDKoPNi+bYe/ASFXyG5oCAUbHid6L5QvX16LCxx687333sONN96IZs2aISYmRntD1K1bV4dQcFhN5hV49dVXcdFFF+lQCwoQHMJzwIABeh7DNSpWrKgTWdaqVUuHYnAoSNbh6BpC7pLTdcfjnNtwvX///bfOJcJ8IAzPobD19ddf48iRI1p04LmwePFinZCUXjXGvYLF8F4TBEHIK0SAEARBEM4Js9mCXTv3Ija2hOr8+uDxqQ6txYOjx46iXu362L19D5wel6poglf3yU2ILxmHPXv3qPfS0c0tDINC3O0LPjxOsbGx+OqrrzBmzBi8/vrrGDt2rDYg6Ul08803484779R1KTS8++67egSMt99+Gw8//LAOy6BRybwPo0eP1l4O9ICgYNGkSRP0799f539gvWeeeQaXX365PPnOBXitUQCgxwqHOmVyXeaA4CglLNznRp3cgG2vX78eH330kQ7j6dixIz755BMcOnRIDwXKJKc81+gVEx4ejtKlS+tleI5xGrdR7hmCIOQ1cscRBEEQToKdZVVUx9T4lB12WDlcp9Vm1Z+ZxNKrpl166SWYMX0GKleqrF3EMzMz9XxlFsNmtcHpcPKDkEvQyOGxyS1jRwguISEhqFy5sk4uyVK1alU9nceQI1dwFAXjMz0b2rZtqwUGI5krjciwsDA0atRIz2O+FRq8NDQ5Iobhlk9vipIlS+q2hAuH+5SFRjvDYxgSQ/Hoqaee0mEvFH2YAJTeBhQDVq1apUUJXpe5IQJRSOC5QI+Zzp07a0GK5xY9bPjKIY85cgrr8XxhKBzFqvfff18LV9988432mDC+lyAIQm4jAoQgCIJwArRfrVYLwpQhExKiOrFhoQgJDdHTCTupJeJK6E6roSiwM56cnIJ58+aj0zXXYMfOHcjIzAgYwyYcP56sjKB4f+NCrpDdMBIKPoZBmr1wWvbjx/ecxuNq1DEw6hnTDeOR07O3weX916EQLCjuLFu2DE8//TS++OILbfwzFOaDDz7Ab7/9hmHDhmnPFXoiDBkyBKNGjcKBAwe0eBRMeNwp9t5222349NNPtQjC7eL28ZhT/HjnnXe0gEUvDXpFcJtYlyOn9OvXT4fn/PDDD3oZQRCEvEB6KYIgCIIyXgCPSRkx6lfB5gnF2qWb8MGbH+PDtz/Ge6Pfxa/f/Qp3pkf9aJjgcbvQoFE9bNu6TXWA1cJe1XH1WZCSmoZMdyYyXenYtX0H7BYrzKoT7MjMQGpqin7CK2ZQ7kIjVIxNQQg+xrVFbwN6DTAcpnXr1jo8hgJAmTJltJHPQu+Dxo0b6+FV6WXA0AyGwjBhKMkuGF0IhjDVpUsX7dXQtGlT7Y3BUVCY/2HkyJHYt28f2rVrp7ebwhS3j0lKGbJBDxwO5cq8EUTuHYIg5AUiQAiCIAgaj0V1iK1mfP/lz+jd80E4UtPQqeOlaN+qBX79/lc8P+hF7Urs9XlU57qB6vh6sH/fQVitIapHbUapxDJ4aujTKJlYEi2aNUe4PRQhFiu2btyC2rVqoXyF8jpUQ8hdxIgQhOBjGPtffvmlHrGEuTi6d++u5zHcjAY+rz16ErDwM3MsVK9eXefq6Nq1K1588UUtCAQLrofJRyl0cOjWW2+9VW8DR0WhCMJcIBQlfvrpp6xt4itHRWEoBrebOSRKlSql2wuGKCIIgnAmRIAQBEEQNMzpsHnzFnz++acwW9y46+7bULd+VbRr3xRXX3kFZkybgQXzF6p5ZoSE2tHjju6YOWuW6rT6O67sANdv0EAtUx/hEeFabPC43Vi7dg2atWym49qlg5u7cP+KACEIwYfXFQ13hjEMHjwY1apVQ1pamhYlCI35vXv3YufOnTh48KAWa4kx6gSHVL366qu1CBGs65TtNFD3XG4DBRGGgSQmJmoPB762atUK1113HVauXInDhw/r3CAMA2EYxptvvqmFC4Zp3HHHHbo9uXcIgpAXiAAhCIIgaNj53LljJzZv2IqyZSpg3dqtmDN7KebOWQan04309Az1fi6sNpvq+AK169RGdHQUNm3aDFO2eHSfl4qE/+ncunXrYbPZUaN6DS1GCLkHj58IEIKQO/DexhwPHFGEoQtGYknCZI9//fWXHgqThQIFxQga+0Ydeh9QDKBXxM8//3xCno7zhdc7RYVXXnlFD7l6yy236PwTHO2CI6pwSNbatWvrYVqZK4ICBYUSekXcdddduOqqq3SOiCpVqmQJKYIgCLmNCBCCIAgCrVf2ZpGakgq41Y+DNQQHk47hUNJx7D94CHFlYjHwyX649NKL4M50wqPq2kJD0P6SSxAWEa6XNfCppjj8ptPrRmRMDFq3b4eoEjGqWZ+eLj4QuQONEZZgGDaCIPwHr6nly5frcAV6MRgj/Bhw/vbt23VYA5PzMgcDh8DMfi3SwKcgQJFg1qxZ/zf/QuDIG5eoe/GVV16pPdGMEVb4ys98X65cOT1SCuvyPYdr5agZ9EyjOCIIgpBXSC9FEARB0AICn9RFx0QBFvXjYDPhosva49KOF+PiDhehU5ercd8D96KZ6rSa6OFgNsHt8yI8OgqJ5cv9n6ighQbVXmL5soguEQOX16On+acHKglBxRAgxANCEILPr7/+qhM3RkRE6OuM8Fqjgc9Cjy8a9xwG1RgGkyX7yBc09JmckkOsUqQIBtwGFsODgdthCBvGPOM911+/fn0drsF62mMtF+4ZwW5PEISihQgQgiAIgsbr9aFatepo2qIpVixfjt27duvOdkREOFxOBz7+8GP8+suvsKlOdaD/DZ/qwHpP8/SMHV5x7c07RIAQhODAayn7vYt5FJo3b54lPhCGYaxdu1bP279/f2Aq4HQ6tcDAUS/oGWEIArwfcsjO2NhYnScimHAd9L6gZ8Wp7rncdgok3IZgw/uOsc+M/BeCIAg5IQKEIAiCoHG5XXqkiqcHPY2L2rfHW2+OxZtj3sSHH36MD9//CMnJyejQ8TI9jNu527hcQAzj3MQwAESAEITgwHwNhGJBWFiY9lwwMEaTuOaaa/QwnH/++acOsaA3BAUIDr9544036kSPNMqN65LLsfA+GgwoPNDg/+233zB69Gid04FDgzIZ5smwrnGfMN5fKGyDwgfDT/g9KbhwKFAOA2oIL4IgCNmRO4MgCEKxx6d6kV5Y3Mp49XjR/KKGeP2d4bi5x00Ij46ENTQU9Zs2Rr8BDyO+TGkdenFyyMXpMMGjfmwyYfI5QGdkM1cnRnKuYBgWQtGBRh0Lj2t+FmNbCio89w0BLqftP9dCkWDx4sXo3bt3VtJIeoQZ+4Dr4ggXrFejRg1d6NnAehyBombNmqhUqVKWF5hxzzOOZbBge19//TV++OEH1K1bV+eCYI4KChBcT/b9wW3O6RhSwGA9oy4xttlYlu85zVg++3QOLfr5559r7wuGnzDHBKdnr5d93dnbFQSh+GFSN4Rz6UcKgiAUKPjUh0+n7rvvvsAU4Vw5fDgJfR/pg8eeflQnm3SCnepQ2G2hWR1EdqL5VO/cfzJUp1a1aFHFBCZHi8IrQ0agZcM26HVPr0AdIRjwKeRDDz2Evn37okWLFoGpQnDgeW/CoZQ0bNu2S52/tXM05IINrzdeg2vWrMGnn36K48ePq8/+J9h5gf9bm7SByoSF119/vc5pUFC7jrxHcT9NmjRJeyxw3xn5GbjdLPxsvDe8EViPr0Y+B2M+Qys+++wzREdH6+nMndCjR4+s4SxXr16tEz9y1AmeDwxtoBcEh7nksaJAwVEofvzxR90+9xtFjPfee0+PPNGlS5cLOo+43evWrcPLL7+MRx55BC1bttTT6bnBdXGb+Rv53XffoUyZMroO1z9t2jTtvcHt79q1q06sOWXKFOzevRvz58/Xo2Pceeeduo233noLCxYs0HX43fk9fvnlF4wfPx7ly5fXo2/Q++OLL77QOTJ69uyJzZs3a88Qhqdw5BDemyjktGvXTg9jyvUuXLhQ74NBgwbp/Xs25xQ1DYfbi2XrtyEhPgbVy8YHTlKLv4IgCIUCESAEQSjUiAARHB7u/wgSEuPR494ecJmculNMwyMYmHweWE0+hIZEYfWq9fjorU8w+KnBaNykcaCGEAzYye/Xr58WIBirLgQTvyme1wIEoZH53HPPaSMzP6EhPXfuXB2GkFff/VxJSUnBiBEjtCdAs2bNtCeA4YHAYrznK0UVYzqL8ZnzjHocreLDDz9ExYoVcfToUdx99924//77tYcDn+LzmqMhTTGCHghLlizR+yc1NRV33HEHqlevrj83bNgwy8CmhwAFCO7Pa6+9Vq/nfOG5QbGFYsDbb7+tt8PwPODrt99+i3///VeHgWzcuFF7KfTp00efSxQKODTn8OHD9XfiNlFMoQcF22JYCcUIfhcKT5zPYUT5ec6cOXjsscewatUq7WnB/c2wDwo0FH4o2tx+++3aM4NtR0ZG4vXXX9f7hAIEt5vDhHI93Dfdu3c/q/0gAoQgFA0szzNITRAEoZCyYcMGpKWl6XHNhfOndu26+OCjj3HwcBJq1auN6NgoWG1W2Oy2nEvgSaHO8n66eqrYVT0zrFi/djM+ev9zXH7pFbhOdbzZITc6y8KFw5hyPonkU1AOtycEG2VwOl04diwZ5UqXPKsntsGA18gff/yBefPmoWR8PNpc0hEVqtRGpWq1cr3UqFkLJaIjtIs9DUsar3wtiM+uuJ/ocbB06VJ9DTRq1Eg/9ee1wJAAPq2vUKGCFhM4LGXVqlVRrVo1LRIwfKJWrVpaFKhTp442zDlaBEMqWH/MmDHaaOb7iy++WAsU3Ac0+NkOl6OXCp/scyQMTqdnwEUXXYSSJf87V+g9kJSUpI8lf7O4XReyL/md6clATw16LXDdbI/bynnMCUGjn+vid1y0aFGWJxsFBn5/iiYUCCje3HXXXXp/UFShJ8e4ceO0d8eePXu0QEPxhN+xQ4cOaNu2rf7erVq10qIEPTFuvfVWLfow+SZfOdQnt4ttUKjYunWrToJJgZQCEX+7eW6xjbPZD/y58Hh92J90DBHhoYiLCg/MkFAOQShMiAeEIAiFGvGACB5r16/HV99+hdSMFPXp9D8NFgvjgf0dQvX/aZ9esYpJNedxe9GkcTP06H4HQu12/0whaPBpLJ9A0gOCnXshmPB6yD8PiMcefxKjRr6OJq1a46W33kamJ2+Eu1BlcM6d/CdeGfQEKinje+nyFYgrEZtn3/1coMHNRLkMGbjiiiu0URuM7eT+J8uWLcOQIUN0SIEhwnCdhJ9fe+01fPPNN4iJidHTR44cqQ1/GvyE0yhMTJ8+HTNmzMCwYcN0OMSFwG07cOAAXnnlFS0wMMyBojA9EygoUJDk9jz++OM6LOTRRx/V3gz07Bg4cKAWaOhdw+2kODFgwAAtzgwePFiLB/SuMLwi+P0pmHAa1/vkk0/qkT8oPDAkhWLHq6++qgWFjz/+GO3bt9fCCPcZxWquj6LQ4cOH0aBBA3Tq1El7bjB5JUNDxANCEIoPIhkKgiAImrq1a2PooMHo26sPet3eS5d7ut3zf+Xe7vfi7tvuQderusKb5sMDPR/IsZ5ReqnS8/a78fRjT+OenncjRHXCheBDgyi7USQUHUyB7hoHvE1zu5HhduVJSfN4kWH673otbk+seC3xmqJxTOOZ4QITJkzQngDZoUcEvSuYy4BP/mnYZ89rYLRDUYD5GOgZQQ+DC4XbReOfxj0N/1tuuUULDHRu5jx6rNBDgp4JvXr1wqWXXqrDJbg9hpcEBQsj/4UxzfDiePrpp7XIzxAO5n2gNwc9KpgrgiEWzBPBxJP0pOA+4YMAY/QN5nvgPmDeCK6f75lHhG0bog7XxfUKglC8EA8IQRAKNeIBEVz4k8BO4dnAxGrvv/8+pk6dmtWhFPIPujPT+4FPOSUkKdjkrwfE448/jZEjX0PDVq3x7OgxcFKJyAPsoWGYP306Rj89UHtALFm+AvHFzAPCgO3TuOaTfyZOZMgGQz64Ds7jq5E7gscsu2HN+TT0P/nkEx2qwaEyWScYXXCujwICQyS4ffSEYriJ4YnB+8K2bdt0OIkRmsVwLS5DjO3ntnMbiTGf34EeFhQ32GZcXJzebu5nChvMb0Gxhcsz8SXFCCPkhG2xbQ7LyfYoUlDU4Hu2wfaN95x+NqjViAeEIBQBpMcoCIIgZMGO5NnAjiUTmtHVl+7EQsHgXAQkofBhMitD1mZBiM2aN8Vqg00ZiILfy4HJJ5k4kgkVGZLAp/m83njdGQY7PQH4akw33lMsN8I4CO+hwcAQMmjE08hneAPFBsLpzLnAaRQQuB0s3EZuLwuFAi5rfBcWwyuC21iqVCk0btxYe1oQTmPOCLbJkAyun8swnISfuazRFttgTgl6XRj7gfNPfi8IQvFCPCAEQSjUiAdE/sDM6nT1ZWZ4xg2PGjVKd0zZGRXyBz7pZGZ5ukvTXVwIJvnrATHwiScx+o3XUaJ0KTRs0QLePPKAMJttOLL3ENYvm4dyFStg4YolSIiNz7Pvfi7QoM1NDwh2l3ksmNPh999/16NeMDcCwxAIBQrj/sdtoUcCDWwmXuRIGnzaz1wHNMZZl3WEc4O7TDwgBKHwIwKEIAiFGhEg8ge6En/00UfatffGG2/E0KFDtSuukH9QgGASuqeeekrHqgvBJH8FiP6PDcSbo0YDtLPySHwwMMGq/swoU7YkFqxcisT40sVSgDCgeMAn+xyBiYkXGaLQrVs3PbIDvQ34RJ+hGZw+bdo07SHGhIvMhZCQkFAg911hQQQIQSgaiAAhCEKhRgSI/IGdaA7NxqznHP/deKInHhD5BwUIjrn/zDPP6CEEhWCSvwLEY/QyGjMG9uhQlChVBj5X3nTdTBYrMh1eJKtrPSEhBivWrkSZkmWKtQBhdJspQjDvwcyZM/H999/rnAjMkcB1UoCgpwS3gUNbMjSC28d54vlw/ogAIQhFAxEgBEEo1IgAkX8wMRmHkmNCNSH/EQEiN8lfAeLJ/gPw+ptjUKVZA9z52HNwecPUnNzvvoWEWLB+3j/4btRIlIyPx5r1a1CqZKliLUBkxxAT+Mrkjxze8u2339beYaVLl9bHzhAdpLt94YgAIQhFA3lUJQiCIJwX7FQbHXChYEAjR7xQih7ewHVmQig8JlXMJlXMuV5cyrBz6jX7YFGGns8nhl52eL2x0AOM4RdMyrt+/XqdG4fXIacbdQRBEAQ/0ksRBEEQzhsRIAoeckyKHsZzfJ/PDJOyZc0+T54UqOINGM/mgBeI8P9QbMjMzNRDEzM0beHChXq6iLSCIAj/jwgQgiAIwnnBp3tCwcF40ioGjyDkLbzmJk2ahLVr12ohgoknmQdCvJEEQRD+H7kzCoIgFBIKmhuvxWwBvOJaXJCQJHeCkD9w9Ivu3bujfPnyaNmyJVJTUwNzBEEQhOxIEkpBEAo1xSUJJe/UfLL22+/jkZZ+HKXKloQrr8fjywaNXCY9XLNmNdq0bQu3yx2Yk/eYfF6Y1d/6tVtwzdXXoX7tBoE5xQsaPPfcc49ODFqzZs3AVCE4+MMP8isJ5cABAzF6zGhUadoKPR5/Bu486rpZ7Fasmfs3fh09Eolx8Vi2fiNKJ/hHeiho8J6U10kos8PjtGvXLtx9992YPn16lkeSEDyorUoSSkEo/IgAIQhCoaY4CRApKSkY/PwgHEnejxoNqiHT59B9r/yAz9jZ4Q8JtWtXY25ffv2aWJSRYfVZMO2vWXhu0Au4ukPnwJziBQWIXr164ZVXXkGNGjUCU4XgwJNbBAgRIE4Ph+KkAMGhOfNKgOD3ZslOXn5vrjuvTAl+TREgBKHwIwKEIAiFmmIzDKe6U6ekpmD46JcRXzUcDVvXQ6bHEZhZnPGpHzIPQryh+Gzs9+h1W29cftlVgXnFCwoQPXv2xIgRI1C9evXAVCE4aCtHBIhiJkCcaw4HekDc2fNO/PP3P4EpZ8f5ihVchiNubNiwQefkCQ0NRaVKlfQQoHlxjLiO7OLHyUJIsBEBQhCKBpIDQhAEoTDATpYqPnXXdlvd8Fm9sMofLKp4LVZ4rDa1g+yqR8zX4k1uGwGCUFzIyMzEpk2bsHnjBmzauBEbN27KsWxSZfOmzdi6ZQsy0jKwbes2vVxOdVlYf6Nqb4Nqd/fuXfB6zk8ssFgsmDp1qva6+Pzzz/HOO+9gzJgxWLZsmRZPjEJ4XzA+8z3Fi+x1WIghhBjTjLrGfYXvjeJyufDzzz8jPT1db4sgCMLZIB4QgiAUaoqPB4QPKSlpGP7mqyhRw4rGrevC5RBDk6qMx+SB3ReGL0Z/j1639sblHToE5hUvGKJDD4iRI0eiatWqgalCcNCPWcUDohh5QLB7PPCxxzBz5t+w6N2tDHEdfPb/GFOdLid27dyFatWr6zOG9+0cUQt4zV49xGlCXAKeeXoQOl5++TlvL8+Nb775BkuWLMGoUaN0nqCvvvpKj8Zx5513Yv/+/Vi/fr3OCdO6dWstUuzevRs33XQT2rVrh8mTJ+s2/vnnH5QsWVLnkClRooT2qPjuu+9w7Ngx3HzzzbrutGnT0KBBA+1dsXz5coSFhWH+/Pl49dVX9XJ33XVXrnteUAMRDwhBKPyIB4QgCEJhgb1cnwkmVfy9LiksNAtOnFa8MZ5UCoJw/vBO8tOPP2LF8pVYuoJlBZatWJ5jWRooq5Xhn5yeiqXLl2EZS7Y6JxRlwK9YthKrlq3CjOkzsGr1av9KzwNe74bRb7fbcd111yE2NhZ//vknhg4dqoVJigXPPvssMjIy0KJFC7z55puYNWsWvv76a7zxxhto3LixDh8ZPnw49u7dqz0pGM7Rvn17fPLJJ1rQYGLNpKQkvZ4FCxZg5cqVSExMRHR0NOLj4/W6BUEQzgYRIARBEAShiEBDxGq1Bj4JgnA+mNSfy+eBRb1aEILy9VqjQedbUOfqrqcunfyvta+8/v/nnVRqX3MD6qn6IREJegQfj+nCvAayOzPTo4FDgjI5cJ06dbQIcfz4cT3tkUceQY8ePdCpUyftvUBB4t5778Vtt92GF154AQsXLtQJNGNiYvDUU09leUr88MMPWugwxE1D9LjoootQuXJlXH755dpzIje9HwRBKDqIACEIgiAIRQjxgCi6KFMVVjNj+S15UiwWMyxW//nkDz8oPh5GPn5jGt1qrydUrYHKF12Jcu2vRPlTlXY5TDtVaXcFqre+GFZriGqfazp/KD4YoiPFhzlz5uiwRIZh0TuBsA6/C+cTihF8b4gVhDkcjHay30M4ze126zaM5f0jH/m3mqKD5H8QBOFcEAFCEARBEIoINAZEgCiCBA6pM/04Dm9Zj6QtW1TZnPtl83qkH9qj1+1R22C6wCf1hQkKDz544YETTp8Hbq9TWfI0vC+8eH0u1Z4XXrP6rP7MzC58nlAgmDdvHsaOHYsnnngC48aNww033IC4uDjt4cBEkRdffDHS0tLw2muv4csvv8SECRPQrFkzLSh88MEHOm/E008/rT0m6NVw5MgRPZzvt99+iylTpmgPCXpFsB6X//7777MEDIoPXOeBAweyBApBEITTIUkoBUEo1BSrJJSpaRg+ejjialjRqE1tSUKpUSaCyQPbCUkoOwbmFS8Y6929e3e8//77KFeuXGCqEBzYVcrPJJQDMHrMGFjC7Ai1h0Od9IG5uQ2NYxe8aZmIiC+BZevXomx8QoF0tafwFqwklNy7mWrZWpUrY/eefajX+TZUbNdWGfNOf4ULxGsyI8Tjwt9vjoDjaBJeHz0aA/v3P+ft5XfmaBqTJk3Sngz0eGjZsiVq1KiBzZs3Y+fOnbj00kv1ObRjxw78/vvvOo8Dczt07NgRd9xxh05OyVEsmCeCQkOZMmV0mxQpeE9heAVFCbbFnBHMDcGwi4YNG+r1LFq0SCelvP766yUJpSAIZ4VIlYIgCIJQBODzBBbxgCh6mAMu7iazSYdEWMy+PClmqzKW1aqZDyE8LFyecBcweL1zhIv+/fujb9++ehSc2rVr63sAp1M8oIcCP1epUgX9+vXDkCFDcOWVV+rpISEhaNSokc73wPwQTCrJNmvVqoXHHntM173kkkv0uipVqoRBgwbpdXFkDIoPrEvBgw8AEhIKpjAlCELBQzwgBEEo1IgHxNnCW322272Psb7Zlteu1Xn3c+Bfk7FNjLM+X6NZPCAMmGiOHhAff/yxNiSEYOI/T/PLA+Lxx5/AyJFvoHqDerjjgT5wMR4iD7CE2bB61SL88tZHqFKpMhYtW4r4AppssDh6QFwIPK/++usvLVhUrFgxMLVgIx4QglA0EClbEAShGMCbvVV1q7OKmcns3LpYVPH34vIWdiZVP1yR9+suitAA4zMFeUpdFPEbWBGR0WjYshUa5FFp1KI9qlaqp9ft9XnU/3kjfAi5D8WOq6++WodTCIIg5CXSSxEEQSjqKJshM9mFI3tTcWjXcSTtSUbSrlRV0pC0Mw3H9zvgdfvyzLYwKSPZ6vXBlepG8iEnzF5/FnbhwqEAISEYRRcfrxuXWycWzIvidjnhcVF4IHJeFTUoQhREbxZBEIo2IkAIgiAUcex2G37/ZSruuvkh9OnxBPrc/iQevH0gHrytP+6/9REMe2okDu0/DKvFcpa+CBfmsWBWRnKIyYxpv/+NIf2HIyPFA7PlP+Pm5NbF7Dl7xAOiaGNSx9aqrmerLa+KHZbA0IzFGZO6N5rVvjCrfRKUoo6hxUrhVe5ugiAUP6SXIgiCUAzwOYC46DgMHPQIHn6uDx4dci/6D70Hjz1/L3o8cC2iS0bop6vhdmVwmL0ItYUgLCQcthC7jlf2wAIf80Qw34IlBBEhEWp+GExWk55u8nph1vNMiAwNQWQY24FazqOMYq92IDep9yE2C8LC7bCGq23yAN5ML9NbgM/gPBa1vM2MyJAQhKrtoCGtlobLrNZh9sFuN+mkeOFq+VArW9Qj9fPrCUIRxy/LOdLSsGPdOuzcmDdlx7rVOLR7h1639qxR13KxQH1XemoRDsWZun8PDq1dicPr1wSlHFm3Bgc3rIXHpW7MgiAIxQxJQikIQqFGklCeGXuIDd+NnoBZM+bio/HvItOaBrPqVJvU3Z8teNT7TF8mcMyE1YvWoEzlUti4Ygv27jmE6o1qoWnrZvDZPKpPngarx4Z1S7Zj+fyVsIVZ0PaqFqhQoTTMLje8PhNWLd+A1UvXsP+O5u2bonr96vC4XWo51aG3WPGv2oZ1m7agUo0ySNnmwdS/ZmH4J4MQWjISHrXQ5kXrsH7hOpisVjRp0whV6lRBpsWN1INHsHfjTpRIKIXZf89BvXq10KBlQ3itTELpht0bLkkojx/Xw+hx7P64uLjAVCE4sKuUf0kon3jiCbzxxhuIiIxAfEICPHnUdTOrazJT3XcOHTqkR0FYsmQJ4uPjC6TbflCTUKq23G43qlapgt179mhvhbP2BOHN70zHh3XUP2d6uv7IIVb7P/qohEOcAe42SUIpCIUf8YAQBEEoBtCDgHqzO80NX4rqXKe54MpwqA5wpnrNhE39HDhTvBj76mcY8exH+O37v7Dgn0UY8eRITPrqL9iVkW92WzDu49/x6rOjsHHVRsydOh9vPPk2dq7ZC1tIFMZ/OR3DBr2NpYu2YcmcLXih/0j8+eVkhLN1swVfjB2Pt1//DpvXHcOEz2di4rgpsPlMsJkcsKo63479DcMGjsXCOZswf/oKvKrWvXrWUsTRsNhxFJ+99hNGD/oY4z76E3P/XQ+P2wyT+l7+HqggFF0MQSlTXas7t23Hnu078qTs2r4dhw8f1iJIuXLlYC0m4RhGKFP7iy6CTX1nHSHmcZ+6eP2vVlXP48iEmZ4iJ9fJXtwuwOXS+7Ns2bJa6BAEQSguiAeEIAiFGvGAODP0gPjh7d/w01cT0LZ9G92W2+rSooRLdYSbtWyKDte1h2OfGzdc0Q1de3TGA4/dDZ/LhFeeG4UjR47guTf640hSOgbc8yTufeAO3Hzn9UhNTsfLz4xA7WZ1cHXXK/FUz8G46Y4uuPKOy2HOtOHjtz/FzMmz8PyoJ+D2ufDyQ2+i18DeuPiGS+A4egCD7n9BbYoZr335OHbtOIaXHh6Fux+8A9d3uxpOpwNffvg1Vi9bhRHvD8a6ZTsw5KHhuOamjmrdt8JkN8EWbYLX6oDX5BUPCIXhATFu3DiUKFEiMFUIDvoxa754QHg8Hu2BMGfOHKSkpNAlQp3zgZm5DL2kdLCTumc0b94cderU0YZ5QSSYHhCEy6ampmL79u36GJwJrn/GjBn4/PPPMXbsWH0Nnmn93K+RkZGoUqUKbDZJxnsmxANCEIoGIkAIglCoEQHizFCA+PbtCfh13O+4+vor1BTVmdbjX/rdjOs1rIfWHZsibe9h3NftETz+Yl+0vrYFXC4zJn45Bb98NQGvvvsy/vhxBpbNm4fhHwyCvUw4vGr+8d3HVcc5An9PnYN/x/+Nd797GccjDyujJRKOAy7c0/VhdL+7B9IzkzH1h6n45I93kRmbiRCTF79//A8mT5yF18YNxsSvp2DKFzNwzwO3whWZoaweK5IPOvDT179h8MiBsCMcLz3+GsZ8/hziEqPU/rDDzW/C/BA6BCOs2AsQx44dw6233ooff/wRMTExgalCcMg/AYLdNBaLxaKN3PyCRji3o7gIENn3+9nA9Xfp0gVz587F119/rYe45PJnwtjG/Dy2hQURIAShaCAhGIIgCMUAt+oIlyhTAr2f6oV7n+mO+wd1Q++nu+Oh53qi3TWN4bY44Danqn6cDVZrGExuq+o8q46xKiYX+3huHE5KQkhoCCJiInVPkGEViZXKoXKlSkg7lIrw2Ah4rTaYPDEwe8IQbrchKjwCmYczkZKUDmtEKGxhoTD7VPteOxLiElQbHlhNZqSmZCLT5cTkKfMw+ZcFmPLTbMybtRQ16tTSo3OYvB6d8DIiJg5OkxUutX4ft0F9Lz6lFfwGDAWlgmogCucHjyuPKY1ZGqv5VYztKC5k3+9nKqy7bNkyzJ49W4eszJs3T7eRU92TC5dluRC4nUYJRnuCIAi5ifRSBEEQigEWKAOescfOdF0crgxkeDKQropL/emHSCZ/Z9s/JkV21DSTF7FxYcjMcCIjBdojweazY/Oqzfh35hzYYqxIS0+D2W2F3WOG3WeDM9OCdEcGQuOtiCwZjowMte5Mk5ofoudnJjvUqqwIc4YhxhqBuJLReOq1R/DM6EcxZMxjGDRiAO5//G5UrlFRG9bcDB+FiMBWCSfiP3aCIOQHf/31lxZqyJo1a7JyZ+Q2GRkZ2uti0qRJmDlzJvbv3w+n06nvB/q+qTAECW4fpxuv2acRvhrF4OTPgiAIF4oIEIIgCMUAs9sOVxqwfd0BbFt7ALvWHMDuVft12bPuIBwZTvY09dCYJ+Blx9OiZnlxyaXNcTjpMKZNmgNXig+H9xzBx2O/wJyZc9GmQyukpaVhyoRpcB51ID0pFT98PRGqa4uqjSug2cWNYFJ/03//G67jbhzadQTT/vgHJqcVDk86areogqNHj2LO1LmIMFOgsODvSTMw8oWRyEhNg5khI+xLy9O9M5IXRo8gCP9BI75fv36YOHEiLrroInz66aeIiorKdcOd1/qBAwcwevRonX9i4cKFePzxx/H+++8jMzMTdrtd13O5XPq+yfoMKWHyS4bUcJoR2sPvYHhQGXX5ynr5Hf4jCELRQnopgiAIxQCbLQSH9ifhsT7P4Mk+L+HpB15U5QU8ef9QPN//VezZthcICYEpEvBYtBah/lPF7oMvTHVM4UT9FnVx673XYcKEXzFkwEsY+sQw7Y1w061dUKNOFXTp0RmffP4Nnh80AkOfeg0zZ8zE/f3uQuOmdVCnQU3ccs9N+Pyrb/DiMy/jhadHINWRCYvdDKfbg3qt6qDz7Vfhmy+/wzMPDcOz/V7Br1//jhu6XIPEMolwmVUHOlJti0mV8w/rLtLIk0pByB943TGZJHOvhIWFITo6Whv5eXE9UjTgKCn33HOPHq717bffxq5du3QYCD0hPvjgA7zwwgt6eF6KEkuXLsU333yDESNGYMyYMTrR5p49e/Duu+/i+eefxw8//KC3e8OGDRg2bJguDC0RBEEIFhZ1s3k+8F4QBKHQwU4Sn7w3bdo0MKXo4nS6MHv+bITFm1GmQkl4PWf3RMqrOpMJpaLRqEU9NGvTCK3bNUfL9s3Q8iJ/adGuKSpVrwg7s7HXrYQqNSrDHhKiVYjIuAjUaVIdFatWgCXUiuoNq6FG7cqIDIlEvQa1cFO3a5BYKR5OtwPV69dC9Xq1EBubgKqVK+PG265G24saqu10w2uyoGaD2qhQvQqiIkPRskVjXH9bJ9RrUgNly6m2LXY0bFlftV8V8SXLoGrV6rj+1ivQ+uL6yHBnwhJhR40GVVG6XCkwVCT70ziKEhbYsGL+GjSp1wxVq1QNzCle0Lj47rvv0KNHj6wnn0IwMSFdXYPHjiWjXOmSIvbkMrzGz7XQ4J4/fz6qVauG8uXLn1U7ZyKnZU4uhB4DDH+YNm0a7rjjDn1+5FQ3p3K+cNmkpCQdgsFRSkqXLq0FkC1btmiPhilTpugkzS1btsTUqVOzwjX4/sorr9Sv3GcbN27E1q1b0bp1a53MNiIiQifz5BChbPPXX3/Vw7Byn+bnec9d5fH6sD9JbWN4KOKiwgMz5HmqIBQm5IoVBEEo4vhUhy2+Shyad2qE9je0QtuuLdAuUNrf0BKtr22GqBKRCFFGa5u2rfXTNIZcsKNZTnVAW7dtiXDVqfV6vLCZLWjSrD5uuecqdL2jI0pXLgGnjzkkTDCbvGjeqh663t4R1995GWo3qwCHKRUeiz97vk/Va9muAW65qxM6dmmFirVKokm7mjCFuHRn2evxoWmzprih29W4sWcHNGxVHW5zph5mMyY6Ci1bNb2gznpxgPvxbLP2C0JBhPcKnsc0jM+1MNSAyzJsgCWnOkZxOBxZI3vkhNEO6+W0fPbC9RqFyxG+z6nuycXYhlNtx/lAMYTb/dVXX2Hx4sX4/vvvdV6KP//8U4sLHK3jxhtvxDXXXIOVK1eiYcOG2LRpE2bNmoX69evrugzp+Pvvv3VuC3pTUKQQBEEIBjIMpyAIhRoZhvNsOc2t3sd2rKoY7am6JiaDONUyqoNtYkIGC3zeEPVDopY1sdPtVK8sajkfx7Q3aWHCpOrBZw7Mc6jp6r2PT+hVp1v9z3ZMvmxGs1636pT7P2T7PyeUsaLq23wyDCefXNKwmD59Omw27n8hePBszJ9hOIsbNJ4ZEsA8Bus3rIfFeLp9BvGRyzEcgU/y+dSeQipFgBPx31XY82WIBPM13HvvvTmKdhQGGLYwecpkeNz+fAmng+0dP34cq1atwiWXXKLFhVN2sfXp5INHnUPVqlVHv759Ub5ChXM+p/id6QX4xhtvYMCAAahbt64WFD755BNcf/31ePHFF/H666+jWbNm2L59u/5OEyZMQKlSpdCzZ08tUFBceOWVV/S2r169Gl9++SVq166N3bt36+W5H3fu3IkSJUogISEhqELJucJDIMNwCkLhRwQIQRAKNSJAnB1mn1nd8E9Vn0Y8xYJsaEHhVD8PPh32AIoGAaHBpEUJCgz+rOs+PZ2dQrVOtV7dOsfzZKFw4QthLVX8sLks1Af/R/+yFDxMentyQgQIAybxpNEhAkRuwDNSBIi8gEb1L7/8onMa0CjOTeLj47VgkJiYeMLxpNhwLDkZjRo00PkUcpOI8Ai898GHuPOO7uclQGzbtk3nbqBoQOFl+fLlqFGjBvr27YsPP/xQCxStWrXS09u3b6+/D8WEbt266ZAtfv82bdpgxYoVqFKlin5leMbkyZN1PQoQFCO6d++OOnXq5Ot5LwKEIBQNRIAQBKFQIwJEQcBvnP0H35/up+VM888FESAMKEDQA4Ju03waKwQT/zkuAkTuQ6N63Lhx+p7u9njQ+LJrYI+IhcWToeae/33DrO6hbpMNJlso9m1aiU3LF2njmkkZK1WqdMLx5DbsP5SEZo0a4sD+/ajd/BKUqcThgOnBdeEwj40jPQXLZk0DXD68+d576H1fr3M+pyiUMK8DRYS9e/fqz5UrV9ZhFLwH0AuDOR/4G8l8DsyVdOjQIT2POR0oLKSnp2shhrkz2FbVqlXRuHFjnc+C4Rv0IqlVq5Yu+R3eJQKEIBQNRIAQBKFQIwJEcUcECIMjR45oAWLmzJmSByLoiACRV9D455N5hkZ4LGF48MVRCE0oAzMyYPYGvKrOB5MXbmXBhoZEYu747zD12w+04b1kyZIcBYiDhw6jScMG2H/4ILre0xeNL7sWDqffw+tCMauv4Dq+H28PeQKulBS8/d77uE993/M9p7i92THaYRc/+72AIRhGXdbhPNYx3hsY9YywE6POmcJQchsRIAShaHDiHUsQBEEoIrBXFrxi/BHRrQs2+W0kCEKwMHndyhD2wmvzwKmKx2o+7+K2Am6bMswtypD2Mc/M6THCwpi+xmEzwZVDm+dbXFYrMq0h8JpNOpxNh7BdAIbgwFcW4x7Ne4EhHhgCAj+z8L1R13h/cj3jMxFRUxCEYCEChCAIQhHApDqLZp8XZtVxtFpt2sXWqjq6wSoWu/rBCFEd1VDVsbWqTmtAjBAKFoYxIQhFApMyhuGGxesv8DnPu5h8Llg8bvWq2tGJbk8P08/Q5Fa3u4D86jqhvQsqqi3/PfTCrlVDTKDHApNvMuTCEA8I31/o/YDLMxcHQzKY5JPrEgRBuBBEgBAEQSgKaAHCjMP7jmLlgg1Yt3ArNizcHqSyDRsWbMP6+Vuxdu4mpOxLh1VcXgskIkAIRQmf2QyPvtdYYNHhF+cPk/DyHulTbXmNkTXOgFnZ8RYvlw1MCBaqPQrGTLDr/3h+1yyvdXomMM/Djz/+qBNN/v7773o6QyiYUPLVV1/V9wUjpMK4PxjvTzUt+2eKDgyLYbijeEIIgnChSA4IQRAKNZIDwo9FddIP7U3CoH4v4fiBVIAPC/1926BgMvvdcj1OD+o1r4WHXrgPpcolwOsJ4krOC8kBYcAcENdee60eVk8INuwqSQ6IvICGclYOCKsNDw4bjbCE0jB5M7R4wONwPjDMgYZ+SGgU5vwyDtO++eSMOSBaNmiAA0kH0fHBvmhy2dVwO04e1vM8Ufdrx/HD+GDwALiTk/HOu8wBcd85n1PswmdmZuphNJk4MiYmBnPmzMELL7yg53E4U4oQHTt21PU4LSQkBKGhodqbIS0tTbcTGRmp5zEhJV/tdruuwwSUTEwZHh6ON998E02aNMGll16abyIEdRHJASEIhR/xgBAEQSgC+FTP7MD+o9i1di8yktyqmx0OS2gELCHBKKotSyh8XjNS09KxceMW7ZLLTrogCIKQP1AIWL9+vRYOKAwQigeEgjGncySLn3/+GU899RRGjx6txQqOmEPxfuzYsRg5ciR+/fVXPYrGe++9p4WGjz/+WI+WMWDAAAwZMgSTJk3CVVddhalTp2rhQhAE4UKQ3qMgCEIRwAcPTG6ffhoUVSIGPfv1xVOvDMfjLw274PLYsJfx6Guv4Mb77tHrsvAxlM8fFS0UHPjkUhCE4sWxY8e02EBvjpPvARQgtm3bhp07d6JevXraM6J06dIYP348/vjjDyQkJCAiIkILFPSgoidIxYoV9dCkq1evxsaNG9G/f3/ccMMNejkO28l1yL1GEIQLQQQIQRCEIoCJydoCnUKTzYRytaqjWpMmqNq40QWXao0aoVbjZqhSo7Zunz8c7ICazzKOWsgbxDAQhOIHwyN43TOcgl5p2T3T+J7zmJS4VKlSWqhgCAbFhqioKC0+VK1aFT179sS0adO04MBpxOFw6NAMLkeSk5MRFxenvS7YjiAIwvkivUdBEIQiiNfrgNeTpkr6BRefJwP2dAesGczertqmjas6oCd7QDB+mZ1d4zUnON3EQfCFoCM5CQSh+FGtWjUtCjDUguEXs2bN0mEWb7/9tg6VCwsLyxImmNOB9wnmiyhXrpwOxaBXA0fQYM6HpKQknSuCeZUoWlDcMEa9mD17tg7z4PRT3d8FQRDOBhEgBEEQigxaGdBPrv6Z8Bt+/fgT/Pbp50Epv3z+Ff7+a2rWWv4fZlk3ITMjU3dwLdb/npIZnhlmswUetwcpx1NOeILG9zY9bKiVuoYuHEqU0yyqCIJQXDHBrIxrGtjG6/kWLm8Uk7oXnQs03nNq8/yLWW2HWX27CxNjea+lh0LLli31SBgVKlTQeRuYLLJu3bqoXLkyHnzwQVxzzTVo27atvtdefvnlaNSokZ7OEAwuc+utt+L+++/H1Vdfrb8rBYyGDRti4MCB2mOC3g8UKtgu28h+/xYEQThXZBQMQRAKNTIKhh+zxYdlf6/GoN7DdQfb6/F7K+QGJUrHYOg7T6Nuk1pwO/l0jOPqu1SnNBSrV2zGqpWr0PmGqxATGQGzywuPyQu31Qy4TJg8fioSK5RCi4ubwulwqq/lhVX97dq2T7ddvWYZZGZ6sWdPEo4lJyG+ZBmUTiyl2+ev1f93fGUUDAOO09+1a1fMnz8/MEUIHn5xT0bByH1oABujYLhNEbjriadgL1lCvXfD7qbRfn54TD64zSZEWkOxePIUzBz/NeLj4045Csahg0lo2qgh9h05iA7db0ODVh3V/Y7nQRC6zWpb0lMO4ptRI+BJScd777yHe9Rv2LmeU+zCc1sZfsEhOCksMLTCmGcU3jeN96xvzKcYQujlwGKz2bLqc1tYl5+ZkPLAgQOoUaPGCUku8xquUkbBEITCjwgQgiAUakSA8GM2+zB/ylI83+8NhIRHomLtWghTHVFfUIwk1VFVRn7a0WPYtGoNYhJiMPTdp1G/SR24XWzfqX5NnKpzGIbkYx78+etkZKakoPvdNyIk2gyPzwufx4rvPv9JVTOj622dERavOroeH6x2KxbNXgLHMRMWzl2CFm1qITI2Bg6vG7ExYZj251y0vqQFmrVuALfbk0OnVwQIg3379uHGG2+UYThzBREg8goavePGjdNP5B2ZbpSqUB6+EAs86h5n5QAMp+i1GpONO4T/iP2HT33wKjvV6jUj40gyjiTtQ1x8HJYuWZqjAJGkflcaNm6MfYf2IbZsAiLCYtU9K1AhB7Kv/+R1/x/qu7i9DhzctQd2WPDuW+/i3vvPXYAw4H2RhSJCbgkD3Cf5fc6LACEIRQMRIARBKNSIAOGHAsSCqcsw9KERiC5REl0HDkCpqtXhcQdh3Hq17hD1S7F77Wp8/fpriKEHxNuGAMEeOX9G+Eq3YjtMDjO+/WAcrNEWdOneBSF2O75+/xvsO7APffs/iKjYcLg9maozacax48cwe/octGvaAaNefw/79u7AvQPuQqtLmsGujI03hn4ASwQwYEgfuJw5Df8mAoQBx/ynK/WcOXMCU4Tg4TcpRYDIfWjoTpw4UYcI7Nu7V+/5s4WOVso+zRIBTgXnW9V6EsuXx6JFi3QYQ/bjSSM+JTkFbdq2wboN6+HznN2xZrtGihvPWW54yZIl8c7bb+PW226Tc+oMiAAhCEUDESAEQSjUiADhJ7sAEVOiJG54ejBKV68Fj+vCBQj+TNhUr3rX6uX4ZthgvwDxVnYBwoA/J3TxBTIznHhv5GeoUrkWYiKisWXLWtx2902IiI+AFx6Y1f/s5O/Yvgs7tmzEJW0uQu87n0bNWtXwxKsD4bJkACkejHzmA4THh6D/C33gdDDMw7+m//ALEFZfGL4c8x163fKACBAiQOQC2soRASIP4H2BQ0v++MMP2Lx1qxYkeNmznK7DyuVc6n60fPkynfuAw0Z6PP+Jlsatw3+X8n9u3bo1OnfurJc9Gd73ZsyYgZn/zFTH2n+fO9362SK3m0kgr7vuOrXd/rCHU8E10mOhfIUK6N69ux5GU86p08PDJAKEIBR+RIAQBKFQIwKEnxMEiLiSuOmJZ4MmQHDUC4oKe9ZQgBiKuFIxGPzO06h3ggcEO8589cFj9sJktiLtUCae7feC+qGxYvDwx1GhaklkOtiY6pibM1VdE5zMyu7OxOEdh/HMw69j4PN90eqiZnD6MpCWloFn73kFV998Ba67oxMy0+k1wWW5rmwddR8zvFvw+Zvf4v4b+6Bjh8sDM4oXu3bt0obMv//+G5giBA+e2yJA5CW81nMSBk5Hamoq3hz7Nq668go0b94sMPX0nOo4snusxY9z2IZ333sfY8e+hYkTf0ON6tUCU89MboZOFCW4i0SAEITCjz8TjSAIglBk0P0xdp6DVrzaY4HviUm9nNhV5gTViQ/MsPgsMLlM+O2X31C/SS20at8Mf8+YC4fDDZuFXgxMkOlvgeEZUdElsXnjXtjtNtSqXR1ujwMWtca9Ow8g0+FEg0YN9JNN/0+WGWavWSeu9P/ZdPGpnqmX2+DfREEQCjkUACgOnG1hfRryPq87y/Mhp3onl1NBQeBst4H1OHzlZ59+gm1bN2PO7Fm6jZzq5lREfBAEoTghAoQgCIIQFNgJN6lfFZvJhsk/T8XRw8dwV587cMtdN2L3rn345vNf4PY4Ybb855WhR8GwhGDHjn2oVCURJeLC4TKn6WRvC6ctQdkKiahSq4rO8M6nmxze0+v0YtaUOfj20+/ww5c/Yeb0f+GVJ4jakOETW0EQ8hbee5j8ddOmTXA6nVi0aHHWdEEQBOFEpKciCIIgBAUavxwO7vtxP2Lvrv2474FeCIm0wRrpRp/+PZGR4cZ3X/+O9HR6Qfg75nx1ZXqwZf0ONGzUUH12w2T2wucC5v+zCM3bNEVqego2rtvMykhPTse7Iz/C8f0puPP2O9G6aSskHUrC8eMpsIjxLQKEIOQTx48f1/kkEhMTdQ6Kw4cPiwAhCIKQA9JTEQRBEIIC+9prV6/H7t17ccOd1yAiLgS+wLh14dGhuPP+W5DhcmDRwhWw2W16utlixr6d+3Fo/yE0bF4XTDgR6oqExRuCEqVj4YMbM6f+g2o1qyK+ZDxWzl6LBdOXwR4VjsVrlmL9ug2oVKkyEkrEwuTy6qH2iiv0QDHG9RcEIe+g91HXrl3x6quvolatWnjiiScQFxenpwuCIAgnIgKEIAiCEBQ8Hi+qVq2Cu+7rjpJl4uH2+EetMKk/rzKOrXYzbu1xM2rVqQ23yx+jTaM5NMKOO+6/FeWrlYdHLeD1mWGym9C7fy/EloxEpcoVUKduDbhcGdi8cSMqVK+AUjVKwlLShOYdmqBF2xaqId2YbrO4wn0pHhCCkD8Y+RyYh4LwehQEQRD+H+mpCIIgCEGB7sYlE0qiRFyJHLO683NERCRKl0lQHXV/J93r8SE6PgyXXNMK9mgrmJ7SZfbCac5EpdoV0LZDK9RpUAOhYWaYzC6UKlUCkVERqN+wARo2aICo6CisXrMaBw4ehMUiP2ni8i0IgiAIQkFGemuCIAhFDHoc2O12hISEBK2EqmKzWQNrMNBuB/63AYyngP+Pv66XGerdFB/+M5S9cMPpS4fb5IHHbFIFqnjg8Drgtfrg8Tnh87nhM7nRom0TlIqLx+JpS7Bj1W7MnbIAu7btRExMtGo70KAgCEIxxPC6oCdU9iLCpCAIBQkRIARBEIoKgc4nwxtWzpmF+X9MwII/J15wWfTX71j4x0SsWzBft++FT/0xhIJCgvF6OrhdrGeUE5UCE3+KOHSnz+QfyVMXvledZvXeS0nFa4fXZUVcxXjc2ud6uM3p2Lp9EyrXq4Crr+8Auz0EPm/xzn9A4UcMDUEovlBsOHjwID777DN89NFH+PDDD/HXX38hIyNDixM5i8OCIAh5i0ndkPw9VkEQhELIb7/9pjtc9913X2BKEUXdqlNS0zB89HDE1bCiUZvacDn+MzbNZh8WT1+J5/oMh8mqjHGPUy0TvM6mGapNLT24EFs6GkPfeQL1m9aFy/nfkJp5A9UJE6xWvzeG2+OG1+eCzReOL0Z/j1639sblHTrqecWNzZs345FHHsGkSZMCU4Tgwa6SCYdS0rBt2y60bFhbjLkCBsW35ORkvPXWW7jiiivQqlWrCzpG7B6fq/fAzp070bNnT/zzzz+BKWdHsM4lbi+HAx02bBi6deuG0NBQLFmyBBUrVkTv3r11HSNRLb8fQ+WMe6kBp2VPZmtsG/cDi2E2cHpeC55cncPtxbL125AQH4PqZeMDl6Yk3xWEwoQIEIIgFGpEgPBjtviwbt4WDOg5BNaQUMTGxsJmsaq+2YXf4k0mM6wIQUZmKpIO70VcYjSGvPMkGjSpC4eDWRvyFv5s/dfx9cFr8sDmCyv2AsSmTZswYMAA/P7774EpQvAQAaKgw3tCsAWICRMm4IcfflDtnBg2djLGPYmeBitXrkTbNm3gOeO6/QJA+fIV0K9fP9SoUeOCzylDgPj222/x2muvITw8HGvWrMF7772HPn36aLFh+PDh6r7tQK9evfQ++uSTT+B0OvHvv//i4osv1vcQek18+eWXWoh4+OGH0a5dO93m119/japVq+L+++9Ho0aN8vwaEAFCEIoGIkAIglCoEQHCz38CxHOIL5WIJ4a/jmp16sPlunCBgD8SVtW/W7tkEV545CGUTIzB4HefQP3G+SNAnIgIEAYiQOQmIkAUdIItQHh9XtSvWw8bNm4MTMkdmK9n9OjR6Nu3b9AEiK+++gqvvPIKoqOjkZaWhpdeegkNGzbE+PHjcd1116FkyZK6zjPPPIMHHnhAT7v++uu1EDJw4EDtRdWsWTPUq1cPR48e1e2yPr0o2P66devw5ptvokSJEnl6HYgAIQhFA8kBIQiCUNRQHTKn6qhlmnxwBKE41S9Fuur5eSw21bgZ5kBnjx10oeBwomeIIAjnCxP5etT9LS01DVZTCOo3b4drb78dV99842nKTeh0iyrq9eqbcpr/X7nqlpvR6fYeiIxNgMvphMOZGVhzcOH9gN4OFDk2bNigxQQKEnv27EFCglq3y4UyZcpo8aF+/fqoU6eOFnE6dOiArVu3Yvr06ShXrhwWLFigvSTYBr0o6AVx7NixwFoEQRDODREgBEEQigLZfNnY6bRZfLDZPLBZvRdeLF5EmE0I0YKDV//RI4OddKHgwCeRfFIpCEKwUPc5da+77PIr0PfZZ9HrySdPU57A3U+ool57PZXT/P/KPar0fuwxREZFZ791BwUKkbwXMHyCvwVz585FZmYmLrvsMj2tY8eOuPbaa3HLLbcgPj5eL2PkgWB9ihKNGzdGjx49tNDAEI2IiAj9vnPnznrZSy+9FHFxcXpdgiAI54qEYAiCUKiREAw/FtV/XDt3Ewb0HAyrPRxlqlRCSFhY0DqI9HpITzmOvVs2IT4xBkPfexJ1GqptyPMklCcjIRgGdIt+VhlJv/zyS2CKEDx4HUkIRkGGxnOwQjAorjq9LlSvVAV79x7E/QOewBXdb0VKZkZwZFe1rXa1bY/c3h1Je3dg1OiRGNB/4AWfUxQgmXTyySefRLVq1ZCSkqL3ydChQ9GiRQsdckEPiFKlSmlviAcffBDPP/88hgwZglq1aukQLuZ22Lhxo94WhmocOXJE53xgSEflypX17y3Fh6efflp7VuSlGaF2m4RgCEIRQAQIQRAKNSJA+LGontmuNfvR786nkZmWEZiaO1SqXQ6DRvVHtdpVRYAoQKxduxbPPfecCBC5gggQBZ3gCxBuVK9UGXv2HsB9A59Ap9u6ISMjSKESZvXP58HD3boFVYBgl56iw5YtW7QnQ1hYmB4Bg7kguH8YjjF//nykp6ejadOmevrevXtRtmxZ7eXA5TjN7XZjxYoVus3WrVsjJiYG+/btw+LFi/V7ekhERUXp+XmJCBCCUDQQAUIQhEKNCBB+Qnw2+NTnf6bPxY5t+9QUtyrBM5Cy1qR+MarXrYamlzSCxWbO06dfOSMChAGz3fNJ5s8//xyYIgQPESAKOkEVINQNz6UM3WqVK2H3vr246/Fn0PnW25GZkRaocWH4VPs2nxcPB9kDwiB7KJZxj+Yr9xGL8ZnwM9+zGMsZdY33xueTp+U1XL0IEIJQ+BEBQhCEQo0IEH4squOqupEIDQlTnUgrvDb1yRT82zuHjXM73fq1YPx6iABhsHr1au1O/dNPPwWmCMFDWzkiQBRgaBwXdwHC6NIbosLJ74khIhBjOl+zT8+JM83PC7gJIkAIQuFHslUJgiAUATwmK1wmG1JdGTjuPIKU9ONITUsNeuE49y6PS3VYAysWCgxnY0QIglC0oRcD8zuwMAyDokxqaqoWjU+G9wzWYaH4wcL3DMEwPvP9oUOHdBEEQQgGIkAIgiAUNkxe0LnB5DNlFfjs6jVMvYaoVzusbjtsrlwobFcVs898wvrzs6g9ESj8SRMDXBCE4gtFyIkTJ+pcD59++ikef/xx7Rk1fvx4LS5QoDAKR79g0spvvvkGNptNT1u/fj0mTZqkP1Nw/vXXXzFv3jzdFvNLsE52jwpBEIRzRQQIQRCEwoJ2NVX/BTp/J5jeJocq6eqm7oHZZ4FX1fOYPblWuDHZ159fJQv1gXulOPeLaRTQOBAEoXjCYTY5gsXOnTvRsGFDLSZw2M277roL3333HVauXKlHtfjjjz+0qEDoKcH8MYTLU2TYtm2b/kwPCI6u07x5c/2ZSSpFfBAE4UKRnoogCEKhwKf/4LXAbIoErHa4be5TFk8ul5zWmR/FY/Moo9sHm+oUW+GCxRykLPWFEBEgBEGgSMCQC45+wXsCR7WIjY3V8zj6xccff6yH4pw1axamTp2qRQYKDwa8h2T/TI8Klpo1a2oxwu1mgmNBEITzR3oqgiAIhQETvRwAp8OLo4edOLo3A2m786ekBl7TVcnc58z6nF8leY8HR/e54ExWHWPnCX4RxQoaG5IDQhCKN8z5wNAKwrwPr7/+Ou68807ccMMNqFatGqZNm6ZDKyhCcMhe3jeyezVQkDCgEMF7CqeVLFlS54GQ+4wgCBeKjIIhCEKhptiMggEPnE43Rr31LiZOnYCIMBtM7vy9ffPn4/jx44iLizuh05rXeE1mZuGEyenD66+OQKPmjQNzihfLli3DG2+8oeO5hWDDa01GwSjI0Cgu7qNg0Hvhzz//1CLDyJEj8eijj6JTp0469CIxMREdOnTAww8/jIceekjvq4iICC1GzJw5E6NGjdKCxaJFi/D3339j0KBBOHz4MIYPH47Bgwfjr7/+0vNvvvlmvZ78ECG4ShkFQxAKPyJACIJQqCkuAgRv1Sxul0u70eqeWD7BVZvNFqxevQZffvEFRo8ejUxH/oc+8GkdO9TsGBfHJ3RLly7Fm2++iS/UMRGCjQgQBR0RIPwCxNatW/H111+jZ8+e+vWqq65CqVKlMHbsWNx0001YsGCBTkbpcDhwzTXX6H02ZswYLU7Qc4L16RlhjI5RtmxZ9O7dG8OGDdP1GzVqpNclAoQgCOeLhGAIgiAUEtjhs9ntiC1RQsf05leJjo5BVFQU5syZjVn/zsK+/ftyrJfXhdtUHCuGMesAAKsTSURBVIUHAwpUxfn7C0JxhwJG1apVUblyZaxYsUKLEAy7qFSpkvZ6qFKlip5Wp04dtG/fHvXq1dOCwpNPPqmTVjZo0EALDj169NCf27Ztq8V9jqhhV789XJ7IfUYQhAtBBAhBEIRCADt8RikIsKPLp2RMSkbX3IJCQdpHeY3hJSMIQvHmuuuuQ5s2bXQiSiNEjuIBwzD4mfMvu+wyLSpQvG3Xrp3+fPHFFyM0NFSLEKxz5ZVXaq8Kihq9evXSdQVBEC4UESAEQRCEc4IGPmOGOcQbDV4KEExOJuQvIj4IgkCxISYmRgsNzNlghHXw/sD3xqsxnRifjWnZ67AwAWV8fLyeXlwFXkEQgocIEIIgCMI5ExkZiQEDBuinZt26ddMdXTGA8xfufz6tFARByK9EkYIgCGdCeiqCIAjCOcEnYi1atMD999+vY4Zvv/12lC5dOjBXyE9EgBAEQRAEoSAjPRVBEAThnDCMXD5xd7vd+n1xzr1QUKAwJAKEIAQf3tqMe1wwiyAIQnFEeiqCIAjCeSGd6IKHCBCCEDx0UJn6L8ztghXqXme2BaWYTRbY4FHXq0evx8xxOQVBEIoJJp8E7QqCUIj57bffcPDgQT1UmJC3HDhwAK+++qoeQ17IfzhU3meffYYPPvggMEUIHuwqmXAoJQ3btu1Cy4a1tceJUHCgGJqcnIy33noLV1xxBVq1anXex4ht0buLw1nu3bsXLZo1Q/m6DZDh8VGGuGBMJi9scGLq738g/XgqRo0ciQEDB8o5dQaodzvcXixbvw0J8TGoXjY+cGla/BUEQSgUiAAhCEKhRgSI/IMjXwwfPhyvvfYarFZrYKqQX8ybNw9ffvkl3nvvvcAUIXiIAFHQyQ0Bol69eti0aVNgau5gjwjF6FGj0bf3g3JOnQERIAShaCAChCAIhRoRIPKPpKQkLUA8//zzelQMIX+ZO3cuvv76a7z77ruBKULwEAGioBNMAYJQgJg0aRJ++ukn/d50lr4PZosJXg/Xe5r6+nTyweX1ILFSRfTp0wd1qlaHT86p0yIChCAUDUSAEAShUFMUBQjeltmZ5is70BaLRb+yGNP5SoxXTmP8P19ZiFHXmM6hMgnb4zwWYxpf+Zl1jTYJlzPaMdoyOHLkiA7BePrpp5GQkKA76fSEMOoSY5u5nPHegJ8NjPVyOaOe8dlYxnhvtJ99W4gxP/vyJPt71iHG56LEnDlz8O233+Kdd94JTBGCh7ZyRIAowPCaDqYAwXuicV9iUXcXfRbkhP++ouqp/xcuWMCNQZvWLeE5xQKsZ/aqe526hbnVsl6fF3aT5G85E7xtiwAhCIUfy/N8dCUIglBI2bBhA9LS0tC0adPAlMLPnj178MMPP2DcuHE4duwY6tevr6e9+eabmDJlinYJrl69uu4Uf/rppxg/fjz+/vtvVKlSBfHx8Vi6dCk+/PBDTJ48GTt37kTDhg3hdDoxatQo/PXXX1i0aBGqVauG6Oho/PLLL/jqq68wa9YshIeH65jnBaoDzTwCXH737t1o1qyZ3g7meuDyixcv1uui18PUqVO14fvvv//Cbrfr5Tdv3qyX/+OPP7Bx40bUqVMHoaGheOONN/Q01q9YsaLeVrb3+eef6+3n9+F2bdu2TX+viRMn6veNGjXSogmn/fzzz3q7OOxn2bJlsWTJEr1f/vnnHx0Swu+6fft2fPLJJ5gwYQLWrFmD2rVrIywsTOesiIiI0PuY6ypq7NixQ3/fa665JjBFCC4mpDtd6lpIRrnSJbPELKFgwGva4XBg4cKF+j5Svnz5CzpGhvjwH34JIufCs8OHlOTj6Nu3j7rfhaBNmzZqEe9J9fyFbfkCTVN2sBbB+1FuwN3k8fqwP+kYIsJDERcVHpgh4o0gFCZEgBAEoVBTVAQIdpRZ2OGlgb9ixQodf0zjOTExUXdZTapDXK5cOVStWhWVlAFPg59P6UqVKoWKlSqhZs2aCFOGPtuhwc8OeBVVl8Y+DXi326PbKl+hgm6DdShMxMTE6DoUNWJjY+FyuXTbnMZ6bIedcbfHrZevpNbF6VFRUVqI4DIVVJvVqlVFXFycfurI9VEg4HzWp2dERkaGXr5ChYq6LsUAbj9fuTzrlizpN+wsFjNKlyqt18Pt4Pq5rRQtWJfflevnumw2m65D8YPrJKzP/cJpLPz86KOPIj09XYsUxtPNogQFiLVr14oAkWuIAFGQCbYAca5wXcuXL8dzzz2n74O8DnnfMzyyhAtHBAhBKBpICIYgCIWaohKCwVsxjWMa05mZmVocsNnsOHToILZv3Yrjx4/rp/jKBlIdWh9cyhjnMiEhIVqY4BM1p8OpDWt2em12u27X6/Xo6VyOddkZjouLR6nSpRGnjHnbSckjuTzXz1fj54Gdenag7SF2mFVHj9MpBhjGvw67UH9ul1uHYdCwp4DBZViHy3OZuBIlsrbrZNheSkoKnC4nrBa1/apdk9kfS815hG2aLf6OpksZgkbIh81u09OMulw/p3FbQ9Q2h4T4RRl6fowcORK9e/dGx44d9TJFCXqxMF597NixgSlC8NASoIRgFGB4vwlmCMa5wnsMRU6GQFEI5bVILwjeS0WACA7cjRKCIQiFHxEgBEEo1BQVAcKjOsovDxuGe++5F+XKl8OGLZvx8ZjR2Ld0GUpbfIgINcNj8udrOB+8quNGl1924NJSM5BsjkLjq67H7ff2QulSMTB56SHh0iEZ06bMw+Gko3qbgtlxLqs6i52uuQxXXXM1LFa7MudcSE9z4Odf/sDs+YuRkpaqDAb/TxIFjQuFQkTJ2Fhc1KoFOl93NSKiIrFlyxbtKdChQ4dAraLDzJkzdTiODIuaG4gAUdDJbwGCQmvfvn21BwbvPcyPc+2112YJucKFIwKEIBQNRIAQBKFQU1QECOYnYDJH5jlITknGoH59US41Cdc1a4xIX6a6W3suqJNlVnd6Sgk+n1d7ERxJB96fvgiRDZvh+ZHDERFqx4jhr+HvaQtwY5c+qFqluuq8u9USwRAg/G2s37AUk/76Cd3vvhU9e92O9IyjeOWVUVi5dh/uvO9h1KlbR3stBAs+eVyxbCm+/+xdXNGxLfo98kBW2AV/+oraU0nmweD1wFwfQrARAaKgk58CBO8nxrq++OILHSrXqVMn7aXF7Spq95r8QgQIQSgaSNCUIAhCAWD3zt1o2byV7qhO+OlbhB3YgdsaVUO88zh87hS4vU54ne7zLqrXBlOmG2aH6iSne1DG5MIDHZvjyOpFmPLnNEybPgMzpi7A3Xc8jsoV6sKRYYLLYYUz0xKU4nKaUbtmS1zf+X78OO53LF+2BHMXLcPStdvx2OBhqFG3EdIdZqQGsWR6bGjQrA0GDHkFcxavwsZNW/W+njd3rs6zUdSQ5wmCkD/wvk1xkyIEc+gwjM2YLuKDIAjCiYgAIQiCkM8w3KBe3XroedddSPWkYPmCuahSMhohVtWB9Xhh9YbAqoxpm9d03sWnOsFui1GAdLMJMeFAvfLRWL1kPr749Gdc1r4bYqMqwOk6ruqnq+JQvxLBKBnqGzrgcjtQq2Y9xMeWwj8zZmDajFnoesd9CItPQJo7HU6zE05TZtCKA5lIcaUjJrE8ajRohtlz5+v9PXv2bMybN0+/L0oURa8OQSgsUIAwBAfD00quR0EQhP9HBAhBEIR8hqPH70s6gC1bNsFx3AGHw414e7iyKG1wmW3wmSww+4zB286v/B8mChtexISE4vjxYzh0+CBKlY6Hh2EX7DT71M8Dk0YEpfjb8nl9OiwisXQiDh86iu2bt6NW1drwOjyweE2wqjpBL+pnzucByiQmYvu2bfqrZ2RmItPh0O+LEiJACIIgCIJQ0BEBQhAEIR8x3OZXrV6Jvyb/BRNvy2aLMsjVS8BzIQu+Pc/CF+aBMIrF51VFGazqvVe9t1pN6pUjSKgJFAz0z0PwC7+vWQscqqjvaFFbZvaootaZW0WtNLBO9d3gQ5MmjdGgfn31/vTQnZqCiUFBCHE40zaIACEI0KPjEHoi5FUxPB/kGhQEQTg9koRSEIRCTVFJQjlx0kRs2bQVPXv2xODHHsYlnky0q1YeLg8TQQYfk8mlO+l/bdyF1RGJ2LjtIG669l4klq6hjG4XawRKcLHbQzFz5i8whx3Fpt170O+pEbCHxPLXKFAjyNAosFmx8N/J2LtxEV4c+gS8sGkjwWL5L3GZ8VPI6StWrMDHH3+MNWvWaIOiUaNG6NOnD6pXr67r5aeBQVFkz549ekjS0qVLB6b6mTJlCqZPn47XXnstMEUIHjw/JAllQYbXKofyHTp0qL5O69Spc4KAmJsY9wVuw5EjR1CvXj106dJFzpEgw1uvJKEUhMIPH0kJgiAI+UyF8hVQV3WY85P8MKzzeo38jhkZGVlJ4gw4neWbb77BNddco3NEtG7dGi1btsSkSZPQuXNnLFq0KF/2UXZ27dqFAQMGYMOGDYEpJ5Lf2ycI+QVFgNDQUFx55ZWIjY3VQsDx48fzrBw9ehTHjh0LbI0gCIJwKsQDQhCEQk1R8IDQt2EawOr94cOHMeSJR/PFA+LmzvehTKnqeeoB8fBTI2DLQw+IYS8NwchRIxGitqNfv4cClfzQ4+Gyyy7TY/dzKMsSJUro6atXr8btt9+OhIQELUbQyKGhn5qaiqSkJISHhyMuLi7Lo4LiBp98hoWF4dChQ/opbHx8PEJCQk7woKDRQiOJ66HB5Ha79RNUFrZNY4bv2TbXSRYuXIgHH3wQzz//vN5OrtNoc/LkyXoozldffVXXFYKJeEAUdLJfW3zN6+PDdfIa/uSTT1C2bFlcf/31co4EGR5e8YAQhMKPeEAIgiDkM+y4HjqShK3bt8OkDE4hd3E5ncpQoMhyIl9//bUWCoYNG5YlPtCoqV+/PsaOHatFCMOgmDFjBnr37o1HH30Ud999N1566SXt/s1jyVAIfh45ciTuuecedO/eXdfbsmWLnk9B4vvvv9fLPfzww+jVq5cO+eC6OITfuHHjcNddd2XN69evHzZv3qyNmzFjxmD37t369ddff9Xbkh22LwjFkeznviFG5HUhxqsgCIKQM9LTFQRByEfYUSarVq7EtGlT9RNv/URHyDXoicAcCiezUh0Dxo2XK1cu67jQmOD7Dh064IEHHkBERATmz5+v37MNigTdunXDL7/8gtdff10vs23bNp2HYebMmVqAuO222/D777/jyy+/1PPnzp2LQYMGoWrVqnjyySdRq1Yt/Zn5G5YsWaJDLCpUqKBfKURwfQwNoccKPTToEcFXCiPZoTgixo8gCIIgCAUZESAEQRAKABlp6UhJTlYWb2CCkDt4Hbi7Vy/06NEjMOE/0tLSshI7ZjfkTzbq6XlAb4QXX3wRl19+Oe6880707dsXX331FdLT07NCMRgmcdNNN+kElldccQVWrVqlp9N7guLBkCFDcPHFF+OZZ57Bvffeq8MxKHbQW+K5557T8+g90alTJ53zgd4Rl156qRYgLrnkEi1cZMcQTQRBEARBEAoqIkAIgiDkI4ZxGx0Tg9KlSsPn8YoIkYt4lZHO3AwhIf6cCtmJUceAOTjIybHbzOvAnA3M6cCcEBQCSpUqlVWvadOmWgCgFwVhDDiLAUUDwtwOXL59+/Z6fVw+Ojoaw4cP12JDixYt0LZtW3zwwQd46KGHdG6TP//8Ezabf+QO1nfqEJL/coMY5xDnaQ8aQRAEQRCEAor0VARBEPIZGq5NmzVDFyYtk6fYuYrZEoJJv/+hw11Ohh4FmzZtQnJysjbks3sUTJs2TYdEcBQKGvyGoW8Y/8arsRw/G9MM+JkiAcUDw0vCqEPhgwIHxQZ6Z3AUjjJlyqBr1646/IOig9Em13Fy2wanmi4IgiAIglAQEAFCEAQhH9FGriphYaGIjIxQBmrejFtffDFh7bq1WL9+feDzf9DY37lzpx4Bg0N1GsY8pzHp45w5c1CpUiU0aNBA53fg6CsGS5cu1a/MIWF4RWQXMIjh7VC3bl2d18FIWkmviGeffVYnrWR4B4UQJsQcPHgwrrrqKj2fbTF5Jdsw2j8Z1hEPCEEQBEEQCjLSUxEEQchnOPLFLGXQfv75F7CYZTix3IZJKFlOhuEPNPopNnTu3BmjR4/Wo1lwuEuOQvHpp5/qUTLuuOMOPWwmwyMoGIwYMUKXgQMHIioqSgsFzNeQHXo90IuBcHi+tWvX6uE0x48fj/79++t2GNZB8YHzmHRy6tSpOn8EE1xSEGHhdjMc5I033sAff/yh2zM4WfAQBEEQBEEoaIgAIQiCUABg8sLjx4/BbLUoSzIwUcgFPLjiyiv1KBInwzwLHNWCySTpqUAvhN9++w2tWrXSxn67du10vXr16uGLL75AQkKCHrKTdZg4kmIBqVixovZcyC5yMOlkmzZttDjRsmVL7WXBkAsmsty7d68eIYOhFhya8+abb8bnn3+OoUOH6pEyPvzwQ1SpUgUOhwOJiYl6ZA3moli0aFGg9f8wQjsEQRAEQRAKIiafPDIRBKEQQ+OPrvB8Gl0Y4S2Ybvh/Tv4TmzZuRs8778SzA/vhEk8m2lUrD5fnv2SDwcRkculhHf/auAurIxKxcdtB3Nz5PpQpVV0ZyXx6z/CD4OcTsNtDMXPmLzCHHcWm3Xvw8FMjYAuJ5a9RoEaQUfvWbLNi4b+TsXfjIrw49AnAzCE4Txy734DHw/hZNEIfmCzSOE58ZQiEEerAfBEUGkJDQ7PCIziPxQiVyB4WYbRtwOXDw8O1+MH6nE8RgevmKxNmGus2Ek/yuFHI4LTsbU+YMEEnwaQXhxBseNxMOJSShm3bdqFlw9pZx1cQCK9Hej7RU4pCIT2d5BwJLrxdO9xeLFu/DQnxMaheNj5waYrwKgiFCfGAEARByGdoYDZp2hTXXXcdvMqwFHIPs9WmEzwuWrRYGwwnw2mGYU8viOzigzGf84x6nE/xgXU4neKAIQrw1XhPjHayt8XlKT4Ynw0PhsjISC0+EE6nIcO2jfl8Ndpmu8Zr9vUJgiAIgiAUNKSnIgiCkI8YxmiZhNKoUrmyRF/kOlbMnTsX8+bNDXz+f4xjYnCmzySnaSeTvc65tmEIC2ezHkEQBEEQhIKKCBCCIAj5iPH0+kDSIWzZtgM+dVs2+yww+XL59qzWAdjUK0vx+ilgEkcjIWRRwBAlDC8JQRDyD95bitL9RRAEIdiIACEIgpCP0HhkWbRwAcb/8JMeBcNl8sHLu3NuP+z2cf0MJ1Ary4MH64bYYqwra5W5lf+BsGl+z8Bb0rx5czRr1izwqeiQtX+FXEPvYXMeXCxCoYPXH+/lvLfUrl07MFXILeQqFITCiwgQgiAI+YhhNFpNFthVCQsNg8luRbor95+gsbPsVOthEkWrxaa2hU/Rc8+INSvDzWwxw+3xqPVZYbVZ9dCSWcpALqC1FbMXmY5M2O02eN0Z6NSpEzp27BioUXSgB4ThDSHkDmaeq4FrlteuFCnZC0Ol2rVtq0e9YaLYnOpIuZDCK88En/qd8r8XBKEwIqNgCIJQqCkqo2DMnzcPuzbswC13345XXn0JnpmT0atdU/jcXnh9XvhoSQcFv4FqVVa/S739aOYi1Ox2L5as2ICYkEq4qG0nuLLEj+Aas/yxCQ0Nw0efvIYrOjXBweQUhJSoiis73YhMx8mCy4X+NKlOqm7DhPAIOz7/4E00qVMWd9zeFQ6HByZlKNjtHA2j6PDjjz9i27ZtePLJJwNThODhP5cOp6Rh/cYtqF+rOry5NEKNIAg5w18kp9uH9dv2oFzZBFTTo2Coa1NGwRCEQoUIEIIgFGoKuwCREzt378YLA/uiTYgHV1epAavdCZfFBLvr/OP7varn5tN6gkl7BbiOm/Dp6hXYEVcCw98ci51b9+DJx15A1+vuRs1qzeFzudQCwRlCzstuo8UCm92DBQtnYdX6ORjxxhCkKmPuqScfR5+BL6FC7ZbwqI6l10NTT633NGEZOckiJ9QO5LSgABFmt2Db0iX4+cfP8fLwp1GhQjmMHPkGKlashFtuuUXXKypQgNi1axcGDhwYmCIEm4yMdKzftAVpXps6EcWJVBDyGrvPCrvVgoqVSiEmKkz/HsiVKAiFCxEgBEEo1BQVAYK34i1btqB8+fJ6WMe58+Zj1PMvIS71GGqUjkBUKGAzRuhUdZlskMM3cjnmcHC73XB73PBx3Pkc3PCzBAhVP1MZUasOOGGrXR8Dhw5GtUpVtS31/fc/44N3v0bjBhehYe0msNtCtPfF6TCrBT1ez2ld/5lYMyUjRRlu87F91wo8NWgg2rVtr12Uv/vuW3z57US0u6wLmjdvhpAQu+pQMjFmzmILf7C4Lg5Dqb9OYKL2EtFj7qsPJqfeBckpyVio9uOKhf/i3nu644Ybr1Hnyn4MH/4auna9ARdffDGXLjL88MMP2L17twgQuQjDXPwjkgRHnBME4Vzxyw1GtCDv9af+9REEoSAiAoQgCIWaouQB8e2332L79u147LHHYA8JwdpNm7F07lwc3bsHDqcLHvjdTGmAT5gwARvWr1fGkAVutwv1GzTAVVddDatVGeZqvnFrN4QBj3rxUqxQ70NCQ1CuQiVc3ekqlIiN1vG0JrNbLWPB/PmLMOWvf3Dk0HF4Pf64W4Ps79mu1+vB8WPHUaJEHH9NONU/U3HC+k3KaLN5UTqxJDp1uhxNmzbX8wiFkzmz52HmrHk4flytk4KHj2375xvbT9gmPzOfw5o1a5F8/Jj6vjaEqn1VvkIFJCYmBmp6VV2vzm0RExOF9u1bo127Nlq0Wb16tfqO83HnnXfq+UWJ7777Dvv370f//v0DU4Rg4z8H+UYECEHID3zql9BEEYIjOVFZpx7h1yQEQSgkiAAhCEKhpigJEPweL7zwAqKjY/Dss08iMjIcGR4TMhwewONCWIgZNmVwu1wOvPTiMLw2/HWdNLJWrZp4/4P3tAcBDXqL1QyLxaaNdX7WXTZVTydhpNig+mx2Wzh8br73wWq3wON2ao8Es8UKR0YmHMrIV9YWHE5nluHP5Y022c7evXsxeuQovDl2jG7fo2Pi/aN60Njn02KvatPtdah2vShRIhGhIVFwu9xqi7z+9ZktCFHtpqYkIyU1RYshFCys6jvwx8nt+m/9Nptd16fwMfbNt/DaiFE6oSV5c/QIdL+jO5xOho6YdVJNi82qk3qazT4cOXoMsbFxevvYXkREhF6uKDFu3DgcOHBABIhchuelyA+CkD+Y4PQng2UYFEVvCoIiQAhCoUIECEEQCjVFLQfE4cOHdRx/zZo1kZ6ejtGjR+sn9eXKlcPtt9+GlStX4eeff8bEiROxadMmNG7cCO+//4F2C//zzz/1+PPMwN65c2dtqH/44UdISVGGvbrVDxw4QBvkkyb9gQULF6n3oeh4+eVo164d5syZg1mzZiEtLU212Rg33HADHA4HRo4cqYWC8PBwPPjgg4iOjsbff/+NGTNm4OChg5g6ZarenpIlS2oPjtTUVFSrXg033XQTQkNC1fo/QFLSYS1GPPLII4iPj9fbOXPmTP292rZti6uuukp/l/Hjx+vl+V1vvvlmxMRE46uvvtZeIaRnz56oVq0aFi5ciF9//VUb3JwXGxur8zmEhYXp96xz7bXX6m395ptvsGbNGl2P4k7dunV1W0UR7v+kpCS9nwVBEARBEAoilucVgfeCIAiFjg0bNmijuWnTpoEphRMKBCw09MuUKaNzHLhcLmRmZuqn/wwbWLlypS6GgV6nTh39tLtVq1Y6fIGeCXFxcahUqZLOJcFHQ0eOHFGGfAwSEhJQq1Zt3W5ycop+LVW6NKpUqaLncR9SaKABX6FCBV24PXyizjYpMFAU4cgRFDRY9/vvvtf7n+tr2bIljh49ihIlSuhQCE6jKEJBJSoqSrdRq1Ytnd8iOTlZf2eul+vn96XYQfGB28rvV7lyZb2Nx44d08IC11+9enUtKhjrp8jA6fXq1dNlyZIlWpzgNlLYYFsMSWD73bp108IE8cfwFz1WrVqlhzXl+SAIgiAIglAQEQ8IQRAKNUVxFAwDfi+ObEDDulmzZqhdu7Z+gm/kOqDgwFCH/GD9+vXo0KED9u3bhzZt2uin7xQNssOfF4on2clp2oVA4YSlVKlS+uk/jXCKENxn1113nc71cDLB3ob8xvg+X3/9tRaBHn744cAcQRAEQRCEgoVETQmCIOQz2XVgigo06t99913ceuut+gk+Xervv/9+dOzYMUt84DIUH7Ivm5dwO/v27Yv27dvrbctJCMnJyA+m4c+wDuZyoCcF9wO9LC677DK9vwYNGqTDSrp06aITdtIwz76vuGxRpKh6dwiCIAiCUDQQDwhBEAo1RcUDgiEU69atw4oVK3QuBoZQ9OnTR4cyFNSn9RRHhg0bhrfffjswpWBBkeTff//Fl19+qUM/mGuiQYMGWeEdRQVjaEh6QDCMhbk6BEEQBEEQCiLyqEQQBCGPocFoaL+M2f/+++/x3HPPaTGF+QteffVVvPbaa/8X0lDQ4HcoyBo2vTLoEfHpp59qLw2GjbzzzjsYMWJEVmJLg6KgxcvzBEEQBEEQCjoiQAiCIOQx9GhgIkXmd+jVqxf++ecfXHrppXjsscf054oVKwZqBjdkobjCfcgkpU8//TTuvfdeLUwMHDgQzzzzjB5xhIZ7Yd7PxraLACEIgiAIQkFHBAhBEIRcxjAMOXIDR6WYPHmyHlKSHg933XUX3njjDT1sJXMYiBGZO9DrhIWjZQwYMEDvc46gcc899+Cjjz7Cjh079IgjhRkjFEMQBEEQBKGgIj0VQRCEXIbDaS5atAijRo3C4MGDdXJEjoD82WefoVOnTjqRIuGTbPF4yB1omBvGOT0gqlatikcffVQfAxruDMt45ZVXMHXq1KxhQgsLxjkjAoQgCIIgCAUd6akIgiAEGcOLga/z5s3Ds88+i7Fjx+pEiE899RReeuklNGzYMCsRong95A803MuVK6eTNtIjok6dOvjiiy/w+OOP49dff9VJLAmPD71XCjrcThGwBEEQBEEoyIgAIQiCEGQ45OP48ePx8MMP61eOvPDiiy/qz8zvQEORT6oNY1GMxvwh+zEICwtDt27dtJcKR8tYvHixHoVk3Lhx2iOiMIyaYZxXgiAIgiAIBRXpqQiCIJwndHnnk3EafiyHDh3SQyHecccdWLBgAR544AEMGTJE53uoUqVKVj0RHAoexrEpVaqUzscxaNAgnRSUQ6Peeeed2jNi3759gdoF02tFzi1BEARBEAo6IkAIgiCcJ3zazLJ582Y9vGPfvn0xe/Zs7c7/8ssva8+HyMjIQG3J8VCQOfnYMC9HrVq1dK4Oeq8wbwc9WJgzYs+ePXIcBUEQBEEQzgMRIARBEM6S7E+96fnA4TNff/11fPDBB0hKStLDOr7//vuoW7duoJZQWOGxpocLhYZGjRrhww8/1MN4rl+/HmPGjMHbb7+NtWvXBmoXHI8ICcEQBEEQBKEgIz0VQRCEs4TGKIdq/OOPP7RbPl9r1KiB+++/X49u0aRJk0BNFIqcAcKp4bHmMeSr4e3QvHlzDBs2TIfYcAhPJhal18uKFSuy6uQ3IkAIgiAIglCQkZ6KIAjCKTBGPuDTbSYi/Pfff3Hffffhq6++Qq9evTB06FDccMMN2lVfDL+8wfBMMOD77J9zgvMv1EPBWJ5DeNIj4vbbb9diRNOmTfXIJgMGDMCmTZvgdDp1vbzE2Da+ivAlCIIgCEJBxqQ6LAXDb1QQBOE8+O2333Dw4EEtDAQbGq7M77Bq1SrMnz8f27dv1+u54oorRHBQMCkjjXDmvwgmDGfZtm2b9jY5+ScqMTFRl61bt2ovBBabzXZKDwQuz8K2OAwqj5vxOSQkJCjH8fjx41qUmj59Oi666CK0bt1aixTMI2HAdeaWl4TRNkOBYmNjcdtttwXmCIIgCIIgFCxEgBAEoVATTAHCeJJOo3Tu3LmYNGmSNlTLli2rjUoWw4AtKC73+UluCRA8pvQooLhgt9v1/mbh030OldmlSxd0795djy5yzz33nPFY0HOFo5JwWE2KAj///DN2796tRymhKHEh8Jzh+lk4CgrzgqxcuRLHjh3T5ws9ZMLDw7O8MHLDQ8E4H9977z29z2655ZbAHEEQBEEQhIKFPMITBEEIQCORiQU52gGfJpcvXx69e/fWxnDbtm2zDN0zGbzChZGRkYH09HS8+uqr+Pjjj3UCyI8++kgb2DToGeZw5MgRXY/Hggb46Zg5cyZ+//33wCdgypQpmDVrVuDThUFByjgfEhIStPH/+OOP4+qrr8ayZctw991361whLpcr18Ij5HwUBEEQBKGwIAKEIAjFDuOJOmGeh6NHj+owiyeffFKLDYzrHzlyJB588EHUrFlT1zOeMgu5D/czwyOYW4OFo4qw1KtXD2XKlAnU+s/wNkJlvv32W33cvv/+e+zcuVMfM3ppbNiwQXsk0DuBoRs7duzQ3goMmaCYweV37dqlh9gcPXq0rkdxg6SlpWHJkiU6/IaeFJz/66+/4vDhw1leDScTHR2Na6+9Fi+99JJOUvn555/jrrvuwowZM/Ry2XOL5LT8+RLMtgRBEARBEHIDESAEQSjynGyY0XBloVH55Zdf4pVXXsGnn36KK6+8EhMmTNAJJunKbmDUF/IOHrMDBw7o8BqKCCw03snJx+KXX37BTTfdhMmTJ+t6b775ps7TsW7dOmzZsgVr1qzReSX+/PNPLUZQhKBAQc8ECgwMybjuuuv0/L179+rhVAcOHKhFCIpTHH6TSSc56gWH4aRQxZEw2GZO54UxLSwsDJdeeqkWRp544gktQLzwwgvao2Pjxo1Z55UIB4IgCIIgFBdEgBAEoVjAp9UshE/Lhw8frkexYMgFjdc33nhDu83TaBTyF4Y1pKSk6LweXbt2xY033qhfn3vuuUANP4bxTkGBoTL0NOBxZKiG2+3G4sWL0b59e52UkR4UI0aMQKdOnXD55Zfr/AxvvfWWXs+LL76oj/13332H119/XbfDHCDMG8EEl0wyyXCcL774QofmvPbaa1pM4HrPBrbRrFkznS+DeSf279+vvSMofHHkDON7nMqj4kwYy3B5jtIhCIIgCIJQUBEBQhCEIo9h4NGgpOjAJ+R08ad7PI1AGqNGfD7rCvkLDWka7RQdevTooRNO8rVDhw56vmFw85XH695779WjTzB55dtvv60FCIZcGIITXylIGMsxHwML4Wgb9JCgEMHlRo0ahalTp+r6zBPBenx/zTXX6GSSpFSpUnq0CSYoPVcYRjJ48GDtYUGxiyLI888/rxNXkgs5/4zvJwiCIAiCUFARAUIQhCJHdkOMLvZ8Ws0RExi/36JFC23w9e/fH61atdKGrkC4zzzqf7cy2J1wZqQjU+27zLTUHAvns8CjDHtVcqpjlIy0ZGRkHFXHxaUKPVH8ORBOBwUijnDx0EMP6aSgjzzySNboDicb6Qyl4Dx6FaxevRoVKlRAiRIlTsi1cDJsg8IEzw+KT8nJyVqMYGgGwzboKdGkSRPdBgtH48jOhQgF9FJg28w3wnOxZcuWGDJkiM4TMXv2bKSmpup6ZysoZN+WYAwrKgiCIAiCkFvIMJyCIBRqsg/DyduZYYwxdp/JBPk0mwYd3fCvuuoqPT/7yAWCH2PfHdh/EJMm/YWtG7fD43Jzjr/CSbAujfcVK1dq7wOX03nKfeo1+RASbkeNGtVx1dVX6NEish+rk/nhhx/0SBIMg2Dow8kwdwdzNtCDpXPnzjqE5uabb9a5GQgTivIz8y7wvHj55Zfx999/63OFXgf333+/9nhgyMX8+fNx2WWX6TwS9HIg3LaFCxeidOnSWpzgOtgW8z6QOXPm6LAQJrtkjodg4HA49LCvzElSo0YNXHLJJbptDhtKTre/DOhNUbFiRVx//fWBKYIgCIIgCAULeVQiCEKhhkYZjTPjPePy33//fR3vT6OzY8eOeOedd/SoBDQmWedMhlxxhPtk4YJleGbQcEyauABpx60weUoApyg+dywiQsvj4nZd4HZEqrpxOdZjMblL4tA+C37+4W8Me+lNbFi/Wa/PCJE4FcZxPRWczzZY+J5eDEzu+Mknn+jzwDjO9HKhSLVo0SI96gW9K+jtQJGhUqVKuPjii7V3DHNGMInlN998o0M+mLDSyKmQ07acafvOBXpYcIhR5pngyCtMiMnwoPHjx+vkm/wuDAU5HdwPcm4LgiAIglCQEQ8IQRAKNRMnTtRDKjKJ4Ni33sKB/fu16FCrdm0dbx8uSSXPinXrNuLhfk/hojbXoGmjdgi1hurpDJk4PeonhL8ipzR8ferPBp/JBo8vGVNnjMeR49vx2ojnkZhYNlDnRDjMJRND0mPhVB4Q9EpgQkeGZ3D4TCafpBEfFxenxSYOsWmE21B46NOnj/aEYdtMPMoQnMjISO35QJGBCSKZI4RtMOSCnhP9+vXTI11069ZNe1sYISD0muB8Cl1McpkbMPHlihUrdEjG8uXLdUgI189tPhXMbVKlShV06dIlMEUQBEEQBKFgIQKEIAinhTcI3iZMyhA1mS1ITs3E2i0bsHPTZnhdbphNXmVcnjmmPzew2axYumgppk6brgzFQ6hUqYJ+ilwmMVHNs8PtdsHDp+zaQPYvk5s4TCGonFgOdevVRrgyhCl9FJbn0c88OQTHDpnRuVM3+LyewNN9OskF4yfCvxfMFno9AO9+/BK6330V7rijp55+MvRSYHhHTExMjjkNKBAwySTDKZgYkp4BxjCd8fHxKFOmjA5poEdAdHS0Xob109PT9fCq9IThZ9ZhOAg9JDjkJkenoOHPaQy/oDDBNhiuERoaqj0nCNfHaRQDcjuHCJNgcjhRJsikV8edd96pxTYKLfR2yO7xQC+OWrVqZYWSCIIgCIIgFDREgBAE4fSoWwRvEz5lCK5evxY/fPwB1k6ejJiISIQpIx8+d74JEHq71KsewUK9p7HqVRO8Pv/2KPNMT88rzE7gaHI6ous1xLUP9sY1HTtAj61RCNziu3S6EVd36IFKFevD5+UIEdzm4G43jeWw0HBM+OszxJbxYPBzQ4M6bCTPhwsNQQhGG8GEYos+r71eLFu2THt78HxnjggOLVqnTp1ATb8AUbt2be0tIQiCIAiCUBARAUIQhNPjdcPj82L3/sN4/J7uaB0fgi61aiHUZoPZ7VUmqg8+U/7cRnzKTnRb/DkgaDQatzP+r25uMKs3VlbKI8K8gMNrxT97DuDXNWvQ/akh6BJICFiQjNqT8bjduPH623DdVXejXJmayujNHQGCxyckJAx/z/kZHtsBPD/0xayhLS+E7Mf/QvazkUOhIB0r45wmxndkSAZHdtm7dy+ioqJ0QsyGDRtqAYKCBD0kBEEQBEEQCiIiQAiCcFp8Pqcy9E14/81Pceyvn9GjfR1lsLpg8fiUcc8KyigKosFmtGTcmHJqmfPMap0Mr0j2uhBipxu833BkfafLCZPZDLtJFa/aPj3XT27e8BwWL+wetW12C5bv3Io31h3D71OmISIIRnZu4nF7cFPX23DdlXeh7HkKEIZxnBPZ54XYwzB99g/w2g/hhedf0mEUwrnw39m8a+dOPXLG5ClTdO4HhyMT113XRY/2IgiCIAiCUBARAUIQhNPCp8J0AX+o1124qZQdNezK8DczFj53bh1cHwMrLGYdvACP97/wDp8yvCxeK6xIw56QEGxcvhOVqsSgfFSMqudCkiMdPmXse48dwe79KahdrS7ifQ64AmkEzGp5ChO5BZ0t/M4gzDvhw9NTFmLwF1+hXq26cPs8sJgs52DS5x0XKkCYzF44Xalwu7wIC4vRp4YPbr241+NRhnEGIiLD4PNaEGKLxPR/J8JrS8ILLwxGWLhxLhXEPfP/eL1+L4v0tDQsnL8A4yf8hl179+vvGZzvwHbU+W/xn6f0TtF7x8ShY9Ucqz8cw6vOr7DQUHgdbu0JsXvPbrV/gdo16yA6JkYLPrlzhZ4Zn9pH9hAbajaoiRu73oB6NWojjPkzuHsKx2EWBEEQBCGXEAFCEISz4r7bb0GvGqVQURmWHnPuJd47vQABmL0mmOzAj0tXoVaJcqhfOQ52pwkemxVLNm5GQlykMqJjsXzXIRxLd+OS6uVhcSvLzGwCA0YoAdCAzG186nu8Onsler0+Em2at4LL54G1CAoQNIzT0o9hxcqFqFK5OhLLVNaC1Y6dW/QT+WrVqmPN2lUICbWiRrU6sFsNAeIwXnjhuUInQJAD+5MwesxYJB09jg6duiCmVDmeVaf9BifLASfXNuabTBQXvDxdsXrNatSoUVMnv6RRb1YTfQ43rBYz1q1fh5IlExBftoya59G5TyhAmI1r88TVZZG1HvXnf/ff55M5nYRx2m+rri+vx40N65dg5rQpaNu8GR7u+wDCw8XbRRAEQRCKOyJACIJwBniLMKF3j27oUSka1ZR940buZv7PTnYBgttiNXuxO92LP1avxi1NmyLW5oXVG4atSckwx0SiYphPGdAZSLaGYfzMeehySVPEZShzyWqB0wItRpj10+TTmYsXDgWIV2avQq/XX1cGWOsiK0BYrTbM/HcabHYvWrVoC6/XBpuatnvPdnAIz3LlKiAjIwV//DkRHS67EmVKVcS0mb8VagFixKuvY/32vXjsuRfhtYarc/TM2689ErL93JrMNOH/W4aig383uBEaFoLpU6fqUTou69BRe+3QI2LenDnYvHItHuzXB2vXrsPMmTNxU/fbdR4NCnf08YHPqjeF5/fJIgEFBQoZep4qJ38+GR6/nHoIp6pvYArkhLGp6y09OQnvjR2B66+5Al0kOaYgCIIgFHtyzxdZEISigZHEkUYHjSj/p1zj/wy17EaUMmysNjO27DmEhMTSYOoHl82EdXt3Y0dmBr6Y+jcyXS79BN7u9CHcFoGdx44oQ8jvTZHb254zpzbUCjXqvKCXSlLSARw4sA8Vy1dS+90Kq8WKffv2IjXtOEqXKaMN4+ioEoiMjMa69WsDxzfQRiFk29YtWLVuLTrfeAs81lC43Q5YPJmqZJxFUfXc6jVQzGqaUSxutpGJULMX65ctxMZli9CqaUPYoc5nVzqsan75krGo36wO0lypqFq7EqrWqoTpf/yKUJ8bVo8TZm6L0b5qS7cbKP51+Is5sO7s9XIs3KbAMv7vaBR+PnXhciZVMjLciIxNQJMWrbFh44aASCIIgiAIQnFGBAhBEE6PMhZ1VLqyo23qjTuX7xo0UPXT4AAUE5g7gYa8T22E12NBxvF0RJtDEeYLBVwehIeFId3sxqH0NER5w5h9AB71GSE2HDzihE215zB7YPZatNF8uqe3wtliVscmFAcO7YDDdQQlS5aHz2vD/n0HcPjIfixc8g8OHdoDs8kKl9Oiwy82bFylTicnn7trQaswknQoCU6fGQmVqgFeF9S3g9dkPmPxMaTIYoFXnc/87FFteLxMpOover7VqqZbsWDWbFQqVwYJpcqrz6Gwqv18cM9ehFnMaNaslboG1HXo8KJJo6bYum4dPC63asOirlObf33q2Oh2eb1wXVmfA9ujriV+Zj1uk09dX8Z2ZC+cr7edAl62wm3V7Zym8PjaLZlweb0oUbIs0pJTcfz4scBeFARBEAShuCIChCAIZ01emoyGJ4QWJNSfVkICMBZew7h4VUomJmDLxm1o07AeDvkcWmCwq0VC3D6EeZVBpBblU3ezPIA9Z7LrBHzP45Gd9Ix0fWKE2EN0WEFoWBiio6N0GIfNbtV1uEhUVDSSaYCq9zq/x0ntFBY48gpDLsz8DlnnJHfS2RXmzPC/qv8DO9dohW0ePnwYBw4eQGKZRP85a7VgM70uVq7A80OHYt26dbDoNvz7MSI8Ahs2bIDFyn2dfV0G2d+T7PNPrpsTRp1zLfzf/834vbwehnMUzmMuCIIgCELwEAFCEIQCCIUHfzI+Zvs3DBdt1iijLbZEDNLT0uFze2A3W5HhcuLQ3oMoY4/EnsMHYeUTYtVGuisTVWNLwqMW9DJ8QwSIc4Z7njkIbDabKnb9ahiYPCwMueAPieFen1CyJPbt34eoyEhkZGQEvFmYl0Mdq5CQLKO7sMLhX7UHhyrn911MyiBX+9Nuh5kjWqj9wzYJz/Pk5ONIS01V53ic2mc02j3akE8sW16PvMFdTxGEdS0WC8LCQrFv717dZsHFp5NqFu4jLwiCIAhCMBABQhCEfMcQGDj+hVNZKl6EwWMO009OzcoA85nMOt7eYbbq7PpVyidi764DSHWr5ZTxxifv11/SFhXCwlAhLgE+jwkZNiscyrhLjIrWYoSJMSSB5HjC2cB9y2PjwcZNq/D9T1/j8y8/weQpv+PI0X3q2PhFori4krDa7MpwPqoq+0Wjbdt2IiQkCocPHaO5DYvVhL17d6J8uYo0RbOOd/GA3/W/EmIz4+C+3fjm80+xbsVy2K0W7NmzC/v374OV4Q06KSS9Bvz+Ax63FzVq1sLiRQtRsUpl1KhRXTeV5T2hXilI8BrgKX5KTjfvdJzvctlRbfC7CIIgCIIgiAAhCEK+Q2OKQwmmOx34btFSjJk8DyOmzcXizVtgDfNhjjJoX584Fd8uWgazqhcTYkX10olYumMfMj1ehHvcaFApHpVKhyLKYkOmOQyrV21Dw/LlYbO6dNy9nXHtpuwjaginxeRT+86OzVtWY+jL/ZDpPIgrrrwEW7Yvx2ujnsS+g1u1OJFYpgLs9jDs2rsVJguHg/SgfbsOKBVfA9Wr1VcNcQQHDzZsXouG9ZvDbKIHRXEyR6kWqPNOFbPFh+NJBzB35jSkJx/G+2+NxpOPPYKpU/9EdHQ43B4HQsJC9bCbGenpsKjz1qys90ynEwuXLUb7Kztizeq1OHr0iL5m6HWS6XIgNqEkPGo96hTPEdalhwRFinOB9fVyAbFDEARBEAThQhEBQhCEAkOozYqKFeIx/eAW/LxzDWJKJCBTGayuyFDsOnIU1cslggn04HaiTYPaCPFmICUlVT+k9Xq0CaasJjdSjh9BmDKga5Uvq4w0ZfzJ49fzgp4KTDdQpXIl1KheDZUrVcLFF1+C7Tu2YO36FWq3emCzhaNunUZIOnQIKcnH4XG7UTaxLFo0b47wiAjdzvYd29W0RJQuXZqN6mnFDe5LFm9IBNpfdT3ufeRJDBvzLm65407ccNONiIyM0OdvQkJJlCgRhz179irDnyKAGWnpaYgvSU8TK3bs3KHml/C35fMiNTUVVatVhVvtdw0vBqMojPWyaLLNO4GTp530+YR25HoSBEEQBOE8EQFCEIR8h0aNyWyBTVm7V1WojC7V68B5MA3rduxDmDsE+zftQefGDXF1mYpw62fCHtg9KWhVrwpCQkOyjCufSZnEJgeiw21oXrsGwgIhAWIxnR/MQVCrZi307NFT53WYMOFXbFi/HlarBRmZR1UNFzxuM2pWr4vKlSsjOSVF72ku5/GoY8oj5XHD4XCgSeNmCA0NzTpWxQ3meTCp8zMuJgrly5TSoUVR4aFo07q1FmYsVps6s80IDwtH85YtsGPHdhxPTtYeCLExseh5zz1ahLjsssuyPBn27N6tli2jBQkdhqEms75R/J5Fvv+K2vc5eTQYHhKG6JDlMRGod0IbLHI9CYIgCIJwnogAIQhCvpNl6PA/twtX1qyNitGx+Gj1asw/eBy7MtJQoU4FNdMJk9cEi7pz0f3fbLIg1B6ihQevyRsoPlhtynjyKOPY60GKus2lei1wqNY5XzhLfMzV4MaMvyfj3Q/exrGjqahRvQHKlaus9r9xvNSr16YOmRWVK1dDfHyCPog0tP2HlB+AChUrIVodT3+SAv+yxQr1vZn7YtnSFXj5uUF4tn9vjPv0LXgzk7Fy6RI89djjeO6ZQZg58x/tydCsZSvYw8KxYf06tRwTeHpRpWp1NGnSTI96wX3ocDnw559/4YqrrobLzYE21dRs4g7FhhPEnsBuz5qW7fMJ9fQameTyv6Jzp2Qvqoa/CIIgCIIgnBsiQAiCUIAwweMEapaKxBU1qmFfkgs/zVqLKnFxqBpph8PLEQFMOOZ2YN6O/fhjyVaEwKJuZMqaUoaSmcYU7HCzHasPG5P2Y9i43/DRpH+x88gx6OExhLPADLPJjvSM4/jp1y/g9KThio7XoGH9toiJLqlzFXBYRRP8Qz+afBZ43XZYLWH6swHtWrPJDIvZDp/Hpj77h+UsXsYrf2YtOjFqzRp10bXLTVi/YR0yfRkIL1lanZN2HUbRpev1aNmqJdzuTLjNVnS5vQd27t6GDI58ofap122B22nVeR+4h//5+x9cdPFFKFWugn8/wwuLzx+GoUUFr5oY2M3ZPRqM6drjQZG9HtPAMoRJjyHjc2UVI3+FUUwcz1bnU8laUBAEQRAE4awQAUIQhAIEhQMLPF4Hrm3XErE2Lzal70K7OjVQMt2L4yFmOK0mHEtJwerdO7Ey+RDcFi/CXBZEOyMQgRj95F0bXBYzwmLj4DBZ0a5hHdQoUxYmryWwHuH0+J+K2+0haNuqAyJDE7D6f+3dB4AU5dkH8P/M9uuF3qsgIooNGxbsxmhsscZoEk1ssSUxRaNJTGJJ8mliNMXEqLE3jA07AoqASJPOcdwdBxzX2/aZ+d7n3R1czjs4lJX2/+G4u1PeaXu39zz7liVzMXfeu6hauwrDho3A8pVLMOeT92F4m1R83aq36TIe1fM/S0zskdTph0IhjDvoIPzkF7/C9Pdm4r03X8LayjJcc/11mDDh0FQTFfVPkgzy/NRTToXPn0rapGoq6KeQIU1POP4EjB8/XteOyLy0ujZDh/sgZWbO3/Ra0bWPurg1m2om6X2n1k/ViuiwAyIiIqJuYgKCiHYaUkPfCfj0sI0DinJx2sHjMHHIQPQpzUMUcXhtEz4LGFbaG7179ETE4yAp3/omPWhy/Hhp4XKEwxEVOcmvNgN1jS1IqGBudN9S+KNJmEl/ake0FRKiJuHzBXDBed/BD773I4SCJairr8X+4ybghmt/i4PGTwJsuZ4qGGXTlq1Tl0kSC62JGA467FgcecSxuPP2m5GIhzF61CjEojFYyVQNH2F6PAiGQvB4vHqe2/+CkI4pPV6vKlISbYZeLzcvF/6AX2/9uQSBeqm3d+enXwvpT8JNNMjQn36/X3ceGggGdRJPlgfUPL/Pr2tNMPdAREREXwYTEES0VTqcV4GHpeKUbP3SkFbyMRWAvTJ/KVZUNsAXU+FVSzNOHz4MTjyKiFcFWkkHHkc9Jhz444BXxb1SxT/uS6DFCKO6fh0cy0bQsuBJApUb65DfqxhF+SEVcSV17YmECpZ1M3ZFd0mQRRJOutfLyPbOvgSJP1MBqkdPcjckSnVsaV4RwKi99seko0/DxCOOR8/SQehVMgInHnc2Dp9wrLreft0PxJbJt/TqhhlJ9UzdGKnmr4em3BOiWTlHNalzNXSiRh4NDBg0BAMHDcesGTPQ2tyo70EqcSbvaaCuZj3mzZkJ206qLdQ7SW+/+fWScupq6/H4v/+JX996C55/9jlUVlXpxIFL1nEnmW1Ikwrp40G91gk/57PERCQSxSsvvYh7fvdrPPPk49hY04C2ljCefvK/uOfO2/HSCy+irTWs+17J+g8PERER7ZayFUsQ0e5Cghb1IFNCPfdk4ctuCYDkW93WcBiPfjgXz1esw+RFi1FcHMDAfsXwxB34k14V89j6G1nbYyCua6YbCNhBWL4YinKSuOj4o5CbkwevZSFielDV0IpD+gxEfsyBfF9c01KPpeWrVSCmTkTFXCq+zqq4x7vpennVhdxZQzb5tt3r96G5uSl1jJviXBWkOh7pFxTxeByJRKpjT0sFxbFYBPFku0S0aj1JQGz97FTMqzuwrK3bgIKCEAIBt0bKznpltgd1fQxLvW9teHwmCnNy8OmCj3Utg7v/9E9YsQSee+JR5AT98AcCaGxpw5NPPom/3vtHTHnpOTi2JAxS2xueTTdGk7yBDG9qtTdh0dyPcPCEg9G/f3/dP4emLquu4aAmSUpEIm14efIz8AXU+9+rfo7k/qZrVsg2odw89CguxMpFczHhkINR0rMPSkp7qbtrYc2yeXpo1dy8AqgfL8VNVBERERF1HxMQRLRFbsgjw1nKt6jZCjpkPz3yC/D9I49CuL0RcW8MFxx4KLyJ1H5lGEOP2rfUgrC9JuKGDVsFTj744bO9CKtobOG6akRVtBzzG2jN9WBtQz32HdgPrWYS5XYU7yz4FL179dJV4bNNhXWbnu0KTj3lJEyf+RosowGmVC1RPleVX5N523hOUqvCCcI0A6ivr0NFRTkOOvjATR0h7gnkPdxQX483Xn8dTz7+OHJCuejTpx9OP/0MPP7oo3j2mWewprwchYUF+NYlF+P44ybplJVbQ8FWk9fr1X1DpH4OU2VGohGsLl+NvceMQd++/XWNIHnvyTJ3PSHbqzmoU8fQGVlXkkMb6+rQp3dvjB49Gj6f+rlTPzsVFZXo3XsAevbqrdZRP4UZ5RIRERFtCyYgiGiL3LbiBfkFaJce+WVYvu2chJCARvYjo1icstdg/PLU43HBPuNQFLV1zQEJqmRSKyLqA6pa6pFoi6LI9uHT2jpYcRNWGJi1cAXaE3FdlXzNyjXID4ZQm2jGzJoKvLmyHFYoBwWF+alzylIMpcNz24adTKClpRklJSXbGq7vEOeeexb6Dgji+cn/QHu4CTk5uQgEArojyi87+fx+VZYPjY1r8fJrj2LSCYdi4pFHpfe8h1Dvt5qaDVi0cBFC6n1ZUJCPsPp5KiwqwNHHHIPqtdVYsXKl/lnYlJjRP2spkoCb+cEH+M+//60TaO56dXX1WKW223///fS11rWJ1LLMvh10EsOSREbqZ63jW1+X5TERSySwcMEC/f6dNWsWPv54Jt6f+ibmzPkYI4aPRU4oD3aq+gMRERHRF2KoP0x2hb+NiWgHkWBdgpnnnnwcM++/D1cdPxEes033ByHtyFXoAlP3G/DlyS8jGdXCqwqX5vJJtd/NK3obSHqB5nAbIjGZG4Tpt9DH64Xt8aA2lkBhCAgkkmgIJxA1fPCk27wnbA8KC/OQo8r3J9W26j9bxXkyouD2ErJi8CRMRAM5eGvJYrwXC+Jfzz4Dr9evrpHa4U6e8m1q2IgnnngGzz/zpro4PuTl56eXfFkOWlrq1fsljm9fdgHOOfcsVXaBDox3tVoQs2fNxF1//htuvO0PKMhT1yeZgG24w4t2Rt7VqZEjZPQKSaTJO1cm/fFrx2Go925SvQ/jCQuBUAhBHzD1jdfw0fSpuO4Xv9FNZDxq+njOHCxYOB+Xffe78sMHn8+HBbM/xC9/+mP87k/3YuwBExCPytCZbq0hKV9qCsn+VfnRVt3c47s/uBoxW/0sSR8f8k8dk5QfaW/ClZd+S92fczD+8KOQUPuoWPkp/vjb3+JXd9yNQyYeh1hM+vJQ/6WTG12RBh4m4nAC+fh03mws++htXH/tNSguKUmvQURERHsiJiCIaMtUYCQVBloSEVx/7nkYFG7FmQcOR8gfgmmlqoZLMiIb5JdTZ0WngqvUEqluLk0x5JX0IyFNRSQ4k+rk7nIJsvRzdaxyvNkSNxPwW358sLoaz69cid899B+MH3/ALhVkS5BcUVGBVatWobW1dauBZvc4KCoqxqhRo9C7d2/dlGBXNWvWDNz9l7/hxtv/DwWhwlQCopv3V66l/NPvWeuz4Swzr7GFJII+A++/+fpmCQgh7yO9hdpOtvV6PXj16Ufw0v9ew5/+9hBy82UYWgfl5eV6P7179cR9f7gTDQ0NehtYCVSvWYHho8YibqnyfCGce+FFejhPtSFWLZ6Hm665Cn9/7En0HTRU/eh78f5rL+Dhv/0F9/ztYfTqM6TbNSBSPUzEgUA+Fs+bg6UfvYXrr70axSWl6TWIiIhoT8QEBBFtmcTz6tdE3GOgZsM63P/b36K1vAwD8ouQm1QxjWkj5pXxHqjda6K9JYY2w4tLfnQTjjz8CF2dfVdJQMh9lgREZoJAvk3/8uRbdhWSppsO6DkZQfeuRJol3HnfA/jhL+5BcUEJkOh+AkK4H7lu0yb5wdFJCXe+YSEvx4+pb76Gme+/h+tvuUPyaXr9cDiMaCSCktJSdf1MeD0m7v3dL+F4/LjlN79HJJ5EIhrBm2++gSFDh2KfMXur+6nKlXuornc83IZnH/8Pvnfl1YhaBmSR22FlTm4OHvnbX/D2lNfwr8efQdLwwOML4aH77sKGylW47Z6/IJ6UIUFTtnb/3ASEEcjH/I8/Qtnc93UCorCoKL0GERER7YmYgCCiLZIhAIGkimF8OuiJJONYtHw5aqvXwSuxjVrKVuEp8t12kQqwxo4Zg8KCgvRc2p1UV1fgJ7f+CsedeRkOnXAErEhkmxIQugPUjE9dt68GnZxR/8KxdlSULcdbr76EZYsW4JKrbsBeUnOkTx9Mfv55fDRzJn79+9/pRMTCefPxl7t+hYMPOxJHH38K6hqaMH3aVBQVFuKHN9wIw+OF40kPkar2kWhvxZOP/guXX3UtYtL+SO3T4yQRjUawctVK/P6XP0dRfi5+/6f7kFNQik8WLsJf7/o1Rg0ZgB/+4tfIL+ytEyGZ/Ut0xW2CYYYK8fILzyAUr8cPr7k6vZSIiIj2VExAENEWOSqQkCSEaXtUwKKCFok7tk+XD7sx9WtVqqqrAJB2P3954O+YPnshfv6zW+DPKUTUDEh8r2w5KBf6I3ezBIT+v54vCYhYIoqK8jLU19bojkwLS3tjwICBKC0txerVZVi/YQMOPfRQRKNRrFi+HPUb1iK/qBi+QEjNi6OurlaPYLGXmpLJ5Gf9U+gERAueffTv+P5VVyNu2bAcGdrWg2gspkfgWF9VgdzcEEbsNRqFJT2wZMlSNG5cj5ygVzfbKOnRJ1VjQp3m1hIQHkOGzo2gprYWf3/gXlx24TdwwqRj00uJiIhoT8UEBBER0TYIt0dx6623obGxCWdfdBmcQIGkEPS/7SM1woVMlpXclLTweFNDYCYTSZ1Q0LlA6YDVtvQ60nRGaikl1Taf76vBQDwWxtQ3X8YZZ56JhDQdgdrW8G9aLttLObJPeS1kntTOkH10l/TFIkPm1latwZP/fQQTDj0AP/v5j+FP98tCREREey4mIIiIiLpJPjIlCWAlk3h9yhS89+57SCbc4PyrDbBlb/IB7u51XXU1SkpKEQgG0jM3Px7pSyLVXCSV0FB/AMDcwl8AbvnbTP6sMEwUFhfjpBNPwuFHHKJnbUNLFSIiItpNMQFBRETUbZJsSI1gYejmDTtPVP2HO+/CmH3G4NSvfz09Z2egrldSrpGRarq1eU6EiIiI9jBMQBAREXWbfGSmRwZRH5+ONDaQfiV3cGAt/ThMnDgRvXr2xCuvvqqHqf38x3tnH/fb/8BlL6lSE+pRnkmiRj2yBgQREdEej38OEBERdZsE1PJVvpoM6XNBvfaoMFtGhtiB05Qpr2PZsqX4eO7H+PDDD/Rhfn49s5Op4zpffjI3PfervzJ8amLygYiIiFL4JwEREdEubsqUKWhvb0d9fT3efvvt9FwiIiKinQubYBAREe3CZESLd999F//+97/Rt29fnH322bo5BhEREdHOhgkIIiKi3cCf//xn7Lvvvjj22GPTc4iIiIh2LmyCQUREtBtIJpN6IiIiItpZsQYEERHRDmbbtu7Qsq2tDa2trfq57uCym2TdBx54AKNHj8Zxxx2ny+su+TNAti8qKkIgENDztmXfRERERN3FBAQREdEOJB/DMq1fvx433HAD6uvq1adzan53SLLA4/GgoqICeXl5KCkpgWVZ6aXd4zgGRo4cjjvvvBPFxcVMQBAREVFWMAFBRNvGBmLqwSMj66nncY8Fj52EV/0zDA/kF8r2il2krKSKo7zqSdgLBBIOvL7PCpfveGMJwK9mhT02/JaBgHc7Bk7JqDq/AEx1Qu73yf70487GceLqF7pHPZEhItUFk6EPN7sUUjXfgW2re2SbME212JTA19L3rcPKm7gfEYaRVFurdRx1I9TVMIy4elTP9T7V/G1t0KeKVUejnsj+ZWM5hj3bO++8gxNOOKHbiYftze/3Y86cORg3blx6zldDzrempgarV6/WHWpm1t6Q5/369cPee++dnvPFSDmyH3mUZI0pPwBERET0lWMCgoi2ifzKiBsWnOZWJDfUAyUhhHr0VPGnR4Wn2zcBISJ19WqqgaH2U1DYD550FXEh+2qvr0d0fTU8fYqRX9AbXhVEbS9OMoqo40OydjWs9jDyBoyEN5STXrpzcZwk2pqiSEQM+PwmcouDMCVLtIkEYAYScQum4YXHKwkICcwcJBOW2kbdvy5unCxvbYrp+1pYnIN4MolIWyL1uiiUyl10vmnX9BsFsJIWbMeGz+dLzd+DTXn9dZx66qnILyrAQYcdgbziHohj22oybAtJKHk8JurXV+GTDz9QN8PBzA8+woEHHpheI/vk94m875555hlcd911OgmSmRyIRqO47LLL8Lvf/W7Tut3RcV15/corr2Dp0qX4yU9+ohMRsvyLlkdERERfDBMQRLRNVBir/kWx4qlHMee2X2HAuRdi0h1/QNy24DU8ulbE9vwye9Hj/8CrP74Oe190Nk75zV/hDxaml6Qse/kRvHjZd3DobbfiyKt+Cp8nmF7y5VnqX2ttI9770aWomP4qLnl2OkoOPDK9dOeSiDh4+tH3sL6qDb36FOOMCw5CUWloU+BkJR2sWLoOG2uacPCheyGU40G41cKK5eth2XHsd8BQnYToTO3GFjz7+BxVVgRX33ga1pTV49XnVyAnD7jsykPVJ4kEyV3XoujIcdSbxDHQ3BjFwk/Wole/Qozep1d66Z7rjSlTcPIpp2Dw8JH4ya/vQJ8RIxB2pKZJdliGiZDfh09nfoh71c9PpKkVsz6ahQMOOCC9Rva5788nn3wS1157LSZPnowePXro+e5yaRIiw4tK0qBjzQV3nqwnU8flMs+t9XDwwQdjzJgxeOSRRzYrq+O28lzIcWWuJ81a5HnHRERnx0VERESd4ycmEW0jqefgA9ragY3rYTY167m2+ptc4kr9zfZ2FFB/9PdtiqKwPYp2U6r/d5CMo1+LjVDM1s0ltqcEVMBh2ciPWMgLAz5parCTWl/djPoNKthKlKBug4na2iY197Oq7Im4g7emLMKKpRv1t97S/GL9uha8MnkBqqsa1Ouuzy0nx48DDx6M8QcN16/lFjuSnpHgWAdj8lHS/Wsj28r+F8xfg2nvrkFLI/PgLkP9cxwPouqStKnnViKbkwqq1SNiJrxxLzzOV/8nQcdgXjrRlEmaXMgkCQNJPrgJAmki8otf/ELXlpBEgtSQELJcynr99ddx88034+qrr8Yf//hHVFdX6+TD9OnTsWHDBixcuBBPP/00qqqq9Pby2rVixQr8+9//RnNzM+rq6vTyJUuW4LbbbsM///lP3UGoNBF57LHHcM011+CnP/0pPvnkE31cbtKCiIiItowJCCLaJqlwwYuEz4TlU79EPJYOSA0VvKjQCQlDvt12VACVQFy9rq9cgbn/uBdTf/YjzLjndqyb+y4iTlIF90kJYdGejKFmxlTMvPt2vP+LmzH/b/ehoapcbZviS3h0fxNxXy6CCKBm2TzM+cfdmP3kvxFLJuC1DDQH1XJV1rLXH8G7v70B0x/4PRoXfKqbDsj8dhU4lL/0HGb87ia8e/v1mPnn36N23lxE7LgO0SNqWrtwJub88RZMue16zP7Tn9CwbIk6S7W919C/KEPShUIiifZ4M1a9+j/M+fu9WDF3vq62nlTnK2V8pSGI7MyRZhWpYRfLljXDskwMHh6C15vA4vkbEY9IfZUkwu0xLJm3AVZY3bcwMGdGOSpX1aF8eb26fgVorvFg0ZwqtX5Yzd+IhR+XobqqHu+/swRzZ61GPJZEXiiAXH+e2pMFw06oaxLXAWvFso2Y+vpizHhzOaor6uXrYDXFsaGqFh9PL0fFyvVqm7A6zlaUr6jGvA/L0VofQU1VM9auakXQk4OqMnVNl69HwmqAlYyjbGkd3n9tOd5/fTnWLGuErU5Rak3IN9B1tS2YPWMlpr72Kaa9sRhL51Xr5iC2ug/6Zn6Wc9kFyU+QercZJjymDz7dVMbI3uQx1c+vV/04e2Cr584WklDZJgG816venyrAlykej2+a5L5LcuHNN9/EVVddpZMHoVAIf/vb33DllVeitrZWJwF+/vOf42c/+5keijQ3NxdPPfWUXi5Jivb2dj0/EonoUUYkwSDNOmbOnKnLlu0l2XDHHXegpaVFl/nrX/9aJzKkb441a9bo4/rRj36Ehx56CDk5OboMaR7y+OOP6zKkJgQRERFtGRMQRLSNUmG2rvEg8YohTTLSiQlJFHgcRNUf434VMNbOmIopZ5+OJXf/DJVvPYp1D/wB71z4Tax46D74VMBoqmhxxaN34JXvnYqyR+9B63P/Qc0tt2KaWqdpzgwkVJGRgIE2n9qf30B0xXwsuPx0LLr3VygOJhFQsVPSF0CJ+rs//OCjqPrF7djwwhNY/7vb8OJlp2Jt2Yfq2KIo//utmPe989Dw6HOoe+k1lP/lLrx86aloXTxd/xJc/+bzePd7F6L8gXtR/9JTWPPAr/DCtyZiw+yp6jzUUarziqpjiHt8WPP4PzH30m+g8alX0bdvfzj2prP/6qndSgeOLU0RrCnfiEDIwdEnDEf/QQVY+uk61G2MwDQ8KgCLYOmCWiTbeyHR1huffLgRFatrUFleDb/Ph/raNiycswHxNi9WL46p4L4Bzz+2CrOn16F8VT3iEWD2B2sxZ0a12qkHhh2EkcxBS72NKS/PxYolGzBr+jq8+MRcVJbVqU8WH6rKGzDj3TVYsbhebRNQb5MQVnxai4/er0JDXTs2rNuojq9BvYmSKC+rwsrl1UjEgnj/nTJMfmYBli5swBJ1zC8+uQCzZqzWJ9uwMYqnH5mnjmM9Kle3Y/miNkx+ejHee3OJClLVfZD2P6Z0kbprBoKpnyQLSSuGpo3r0VRdldWpuXotmtZWoaVuI5JOQl211M/2jiC1FCTA33///TFo0CAMHjwY/fv3x8SJE3UyQBIHv/rVr3QnnY8++qgerUNqMkhyQF43NjbqTixlFBGp+XD33Xfj1lvVz/28eViwYAFOPvlk3Zml9G/xve99T48WIgmJzJoL7nNJJgg5nrFjx+KNN97AL3/5S7z00kt4+eWXcd999+nyJRFx1lln4Z577sGqVavYDIOIiKgb+GlJRNuRjGuQGtsAbW348J5fIVazHkO++0N8ffLb2P/39yLk+LD8L3eiftkyNC9firI7H0CRtzf2//V9OOaNKSi+6TJUVs/FR/f+Br5YEpbX0AkAb2MtPvzjr9CgAudxl9yIwSddhCR88CZNxNXyDb1DOOz+P+GUye+g5KiTkVPRgI3PvAGj2YM2byk8p56JY1+ZgjOnTUO/oyYhUVGPlnkr0NZSjRX/+Sv85Wuw72/uwdnvzcY+V9yMQnsQymct1eekIhJ1ACbWz/oQi/7vzwiM7oe977wZ+f16wlDzTcPRo2OkwpavkuzRRMWaWjQ3hTFoSDH6Di3CgCFFsBI+LFxQpZcXFOTh6BMHI5BXh/ziME4/dy+MP3go9t1vsAp2I2q7Apx0xkiEClQQaoTR2laPkl4GTj5jOA4+oid8wShsyw/HTvevoa6HNBOwrASOOe5AXHbFCTh4wjBEWnPw8cwKWUFdkwDspFc/wpaRMrxIqBsVj0tFkiRG7zMIQ4f3UVc3iQMOGYQjj94H9TVRfPzhBpT2KMJ5l47FpT+YgB69PZj/yUrUbmjGuvX1aKh1MHBgX5xzwYG48NKDsP8hPVHaMweJmNtZ466XfHADXwl4DY+BDdUVuPOWn+PGSy7Bj79zWdammy+7DDdc/C387Z670N7cCI+6r3IMO4JcA0lC3HTTTbjlllt0MwtJIEiNh8LCQsyfPx9r167VtQ6k5sODDz6IV199VW83a9Ys3U+EJCQOOeQQvPbaa7rJhPQrIUmGWEySUqkkh5tckEf3uStznjxKjYxjjz1W16YIBAL44IMPdCJkxowZeOCBB/Q+JPEhyQepPUFERERbxwQEEX1JEjzJpAJAx4ZPTRKmNpWVoXnBbPQZNgJ7n/k9hAaMQ78zLkL/k05FuKIOFSqgqP3kA7TWNqDXMcdj4CkXAUPGo+83r8DQEaPR8P67aKpYo4fgDKmpZfbHqH39FXgHD8TAE78GT06uDAKp4k0VwqqYof/xZyL3oNMQHDgWvb55OowCD+ILZ8MuMDDuez/CAd+7FhVzP8T8B/+GllXLket34ITbUL96FZqXLEDOiDHo9/VvIlI8CP2/9X1M/Mfj2PeCCxA3paaGAX/UxrxH/ohEZRV6HH8uCvc/Qs5Yn7n8ItWdb36VjNR1j6vAu3xlPcJhC7379UD9xvXw+b3ICRVh1fKNaGkMw+vzorRPEIY3ikAI6Dc4H3nFOSgsylUlWMjJ9aJnv1yYfhUAm6ZuRbHv/r2x7/g+GDykl3rtgSlDZhjS3MOGY8RUoBxDXqGDkfv0hC+3FQce2UMFaiE0NzgIN7fD9Ml6Kpg11Ta6k0o1qUdDLpQqJ5AXQl6epG1sFBR5kF8YxIb1DUjETPg9OVhb1YiyVTUI+ItQt9FB7cZ2FJcE4Q/FsHpVPV59cSnmzlmNIUN7YMzY/gjm+NTbT70RbOkHZNf8aEtaSXXNHNjqMdreimhrC6It6jFbU2srIq1NiIXb1VtJ6l84OsDeESSRIJPUTpBmD9LHwg9/+EN8+9vf1s0t3P4XysvLMW3aND1JIkBGDTnxxBN1swmplfD9739fJyfeffddPbKKJB3cBI88us0k3HmZSQj3GFyyTJIPLrk2ktCQhIfs/7333kNTUxOuuOIKXbuCiIiIto4JCCL6UuSbcGlKkTQTsDzql4oKVOVP/NaGOhjxOEI5ufCoQNen4s+gacDpVaSCVyDc0IRIUzMiPsBXWogcvw856m//kLcQ+bnFcNQf+olwi4pb1a8p9V+0vhWhfoPRXrEaldPeQsz9plt/awnkFeTDo4JnVRzyQ6Uw/A6a7Tbd1GPRA/fi/esvwtL/3I/EuvUI5OSrYm3Y/gDMiAF/mwr8ivIRVPvPUUFYXo9S9Bg/EjmleSqgVcvUvmRvkeZmBAf0x9rXJqN92aepwT50BwXqaHRC4Kvj6NERbNRUNmGN9OXgCeKTORvx3OOVmDVzow5iI002Fn0szSbS6ycLVZDuVc/lmNW9UAG7k5QzliDM1k0rYKlrom5QXp6kkeQM5bUkCuT8JJEgV0Kee3SAZ6ob6xg2cnNk2E91z5LSfj+VmnF0rQn5mElVdbeTkhzwqkVSrmyn1rNUgKfb8qj3REsCfo+DNhUcL1/UpKZGdW9jGDQkB6bXQb/+RfjGufth8LAgqio34IOp5XjtpSVqWojmxoju2FKdhCrpq70XX9amb93l8NWtKe49AN+46npccMdd+Pat2ZzuxGW/uQcnXPodBEK56tJJPxuSZNox5D3SVQ2MgQMHIhgM4rzzzsN///tf3UHkv/71L92kQjqrnDp1qm6WcdFFF+Hhhx/W61xwwQXprT8jtRqEfu+q3xfhcFi/FvX19Vvsx0GahuTn5+smHk888YTujPLGG2/EkCFD0Lt3b338REREtGVMQBDRF6fiJh1gqoDSjjpIRizYkRhidhwlIwehpTCA5voKtFR/qmvhW20tsJYu0XFt3+H9ERwxHJb6ez+8ejkirbW6qUWydjViZRXIKSiEv3+BCl3jui+IvHFH4Mg//hNWaR5qn3wW1srVuuPHmN9BzAfULVkIT7hBh8e1lWVojbUiZ8BQ1C8tw+pn/oFcFVAf8/CL2PuPD6Bo6CEw2uXwgwgU9YDZow+squWwmpokDMea+e/g3SvOwry/3I88+fY/aavjAA782c8x6tKrEF60BqtffBhxWx2dOpekdBrYddySFRK0OnEHZStr0N4WQ4/ehgpckygsBUr7WijpmVDBVAxrVtUh0Z5UwW2OCpD8KjRXZ6J/85vqeSpRYOi0jU89k8SAeq2Wm+mgWF5/Ngm3mrqDcHsCbc3SQWAhatZFEItFEAhayMtT+7K8siZiURkpQ5Wt3iMtzSrYk2SDTjjI9+1C7Uwtl3KLi/P0+n37FePr5w/FNy4egCMn7YXjTxyPwUNL0R5uQ8Dvw+FHjcCVPz4cZ1+8t042VZWZaG6UavZSlpzTLkpdV/nn9wUwcMRIDB07DoP2GZu1aciYfTFsn3HoO3govD713si8zV8x6WhyS8G/jIxx6KGH6lEqysrKdI0H6WRSmmtIEwjZViapLSHNJWT0C0lQSOeT7kgZUhuisrIS69atQ0lJia7d8Morr+h5MgLGc889pzu91MmydHluUkGeS/JDEiTS94PUfJAmIddffz1eeOEF/TPhJpKIiIioa/rPUCKibebY8Ki/zRvnvocPfv49zL31Gsz55XWY/dMbsPw/D8EfKsa+J5yPxvIalN/1B6x5/iF8/MffY/l701B4/DHoe+D+6DVmf/QfPwHr3pmGJffeicqn/4P5f1KPGxsw8sLvINSzr4ruVZCvYsvQ0OEoOuxw7Pvdq9GwdBFWvPiYboIRiiZR1A40vT9LlX8Xyv/7d5Q//jicCDBwwgkqqLPhN72ItibQMG8u1j77EKrnvQMrBLREqlA4ZAgKjj0WdTVN+PiO36Lqf/9B2YN3o/mFV+BvDavAQ51q0pLTRb8DD0f/089C0QF7Y/mzj6Nh1VwVr8WRUMH1Vx+3mWhrSWLpohoVWHkx8ZjhOO9bE3D+JRNw3sUTcPrZ43WnlA11cayraoHP51VBpoXW1jbM/agKjRvb1D1SAZORQF1tDPM+WqOusw3LVoGgJcMKuh8P0t+Dg6QKEJPqOqSkArRY1Mb0t5di5fw6fDB1NWLxCIaOLIU3YKpAUBIaCayvbsHSuTX4cOoi1DfU6UBTN5VQS73quKVKe1V5IypW1qFv/0L07ONFZUUNli1swqplzXjx6QV4ZfJStDYlsXzxRjz27w/xzpQyrFfnpIM+dZjBHAOBoByvBLC78Meaus6pf+ptH08gGYsjamVviiVjSKgfrmQyAVve4LLjHRREFxQUYOTIkTpJ0BUZtaK0tBTf+c538IMf/AD3338/Lr30Ut0RpHRWefbZZ+PPf/6zTgrI1KNHD524kFEvxBlnnKGTBtJRpTSnkKE8pdaDNPOQJh8y3KcM+ynvK6kpMWLECJ2kkPesOOCAA/TIGNIZpRyDNPeQnw0ZeWPAgAF6HSIiItoyz+1K+jkRUTcZaKlchdia5ZBa761ryhCvqEK0sgLxVUth5YfQ4+hTMOyIk2EU5qN5xkzMmvw0NtaUYexZF2KfH/8OBQMHIyevGKUHHgLEw1j++ksoV3/Y5yQdDPvhTRjzgxsQDBSgfc1qtCybgx4HHoSexx2FgsHjEG+swNIVH2PUgUeqAKod1YtmYfxF52PN2iVY/N9H4Qt6MO57l6P/Bd9BSAUhATOAugUfYdlbryPaUofSffdC0PDCVzgIA048FUWj9kbQMVD+3ltY9NIzCEUcDLniGoy58gdIqiC5+dM5cKJNGHnquQjtcwDsUhOxRcvQrGK2EQcdqmLeIDyGowKXrzD4VYGPJBYq17Rh4KBSjD2wN4IhSclIFOkglOtFW0sC7a0minv60X9IUD1PYMOGelStbkH/QSUYMKQYTQ1xdV+aULNxA/bZdwBam+Noa0tg9L69UFAsTSaknwkbNdXtCOX4sM/4Xoi2x1FXG0afPsW6ucasj8pUkBfH/gcOwaFHDIPHn0ROflDdGw82VLehfHU9cvO96Ne/p64xM2xkMYp6hOBxAli/rlVNdbASwNjxfdFvUB6am1uxeH49Vi1rQM/eOTjyuKHqeIMo6ZGPgD8XtetlVI9GrF7VpMq1cPix/TBoeB5M6V/CkdoU6j7sgl9GL1u2DE89/TRyC4qxz4TDECguha37zpBE0fafZIBZnwr4Gzeux7JZM2En4rjoWxdj2LBh6SP6akgQL8mCY445Rvel4DaTyCTrSJLi61//OsaNG4d9991XJw6kyYU0p5CaDzJChiQJJJFx+umn45JLLsERRxyBoUOH6m0nTJiAo48+Ws+TZIO8Pu6443RZkpw4//zzceSRR+pjkPWlxoUkIaTphzvCxX777YdJkybpfRx11FG6vwo5HiIiIuoeQ32of/Vf3BHRLi/e1oy49PMg1enVf/Lls/wyMR0bRl4OvCW9dXBjxWNoX7tWBbXN8IQCKOk7EN68ArWuoztudEwDVnsrmtethRUOq4CyCDkDB0kjbd0mPtHWimjdBrVNPvwqSDEML+KNtWhrrkdhaV84XhNtKngu7NsPiVgETRVV8OWEUDxwKGxfIPV9eDSKlqo1iIRVEN2rF/KKihCvbYSjygoN7KtWUMGY2ndTVSUSkTCC+YXIGzQIhjoGy04iUVerjq0dub37wQnlqEAtjETNRkTV8Rf3HwDHI80N5OzlQnw15Fd3LJJANGLDH/DohMNmVcBledRCOJxUy03k5nnV9XFQX9+iFpkoKclFIORFuC2J5qZW+PwmiorzdP8NUrMhP98Pr5ond9VWMXBbW1w+MJBfFEAyaSOitvP6PCowM3SZsu8ePQrgU/tK1UQwdM2Vxnr59tlASc9cyJClkXACOTk+tZ5Hleuo5e2IRGO62UZBofQjYahzSqCxoR22Wr+oKKjeE9IfRepbaOkQs6Upiva2hG4mklfgQ35BQO3C/ShLBYq7oskvvogzzzoLvQYOwznX3oD8ISPUD0BqBIfsMHWHpasXzMH/7vsTkuE2vPLGFBWUH59evnOR93xXzRw6W5Y5r+PyLZVFRERE2cMEBBFl1ef+8FfTlv7sT4WuW15nW9nya04dgxuaditV4P5m3J4HslNwMu6JTO7VkGYVzqZvervrs7I6u2Cfld31hfxsndRt6mz7jmS+TKlj7fge21VlJiDOvvYGFAwZASOLCQgZ38Xr96I8nYCwwm14eSdOQBAREdGub9f9qoiIdhkSILqTjjI7ofsGUMv0L6Uu1ukOvY8OJDSVb++FLO8qVJVERdK2YalV5fv2L34UO6/UZdBXRJ7o16lrlupEr7PrtzXu9p/f9LN9dEa2+2zZZ534uccgD50fj+zrs2PdHZIPRERERHsCJiCIKKskOOw4dUY6n3OXdbVOd3S2beZ+t1S2o5Y5pqlH45BJD9awm8m8FqLjtclc1h0dt+/MluZ3tiyzvG3dloiIiIh2XkxAEBGlyS9E6f7OnfgLkoiIiIho++Hf10REafJ9euZERF8NGSqzvLwcK1aswMqVK/VUVlaG2tpaPeTrFyXlVlZWIhbbPn1pxONx/ZhIJFBVVaUfiYiIqPuYgCAiIqIdwu3H44knnsA+++yjh8aU6bDDDtPTxIkT8eSTT3bRF8jWPf/883pozSVLlqTnfDHSR80rr7yCRx99VL+WIVOPPfZYrF69Wh/bFz0+IiKiPQ0TEERERDuTTUOKqg9px8jaJPV8dJesEkCrfep6Bnr+V0/6gMnLy8MjjzyCp556SicdHn74YR3k//KXv8Ts2bPTa25ua4H/IYccgt/85jcYOHCgft1ZbQqZt6VyZJkc369//Wt89NFHel6fPn1w++23o2fPnl1u352khKzTnfWIiIh2F0xAEBER7UQM2PAbjpoMxAOerE2WzwO/+ivAb6YSEJbkInZQ2yMJ4mUI2OOPPx4nnngiTjjhBHzta1/DLbfcops9zJw5U6/3zjvvYMGCBbj77rvx2GOPIRqN6uYVL774In784x/rZENmbQdJakiywO/369fScekHH3ygy5UEwocffrhZZ6bSpOKNN97Qy++8805d00GO7b333sOGDRuwdOlSTJs2DaFQSCcfJDHhkuSEJCl++tOf6uN0EwvNzc26JsaqVat0DYqbbrpJJ1ekeYjoLClCRES0u2ICgoiIaCchobCViKNt43q0ry1H8/rKrE1t69agpboc7bUbVRAsA88amZUvdgru8LzBYFC//vnPf44f/vCHuP/++/Hyyy/r5MOtt96K66+/XjeHkMD/rLPO0o9ixowZuO6661BRUaFf33vvvTj33HOxePFizJo1C5dccgmefvppnYRIJpO48cYbcdlll2HRokV46aWX8PWvf10/SgKkoaFB900h29XV1el15VGSEFJr48ILL9SJCunHQsq97bbb9D5ramrwu9/9Dpdeein+8Y9/6H3LeUiyQpIrmUkMIiKi3Z76YCciIqId7IXnn3e8qUoIkgZIT54sToa0wFCPqSngDzhvv/12+mi+GrZt68d//vOfTs+ePZ3Jkyc7b775pvPGG284KvB3Lr/8cmfcuHHOokWLnGQy6fTv39857bTTnMrKSkcF/3p9mTdlyhRdTiQScVSg74wfP95Zu3at88QTTzhDhgxxFi5c6MybN0/v4/7779frir///e/OpEmTnNraWuett95ySkpK9Daira3NOfPMM51rrrlGvz744IOdK664Qj9fvny5M3LkSKe8vFzv56ijjnJuv/12vUz89a9/dQoLC50ZM2Y4y5Ytc/bdd1993FKm+NOf/uQMGDBAnwMREdGehDUgiIiIdgI+aSZgmvB4PQjl5yG3qAj5BYVZm3KLipGjpkBuHox0hUhpWrCjSA0EFZjr2gLS/OGPf/wjwuGwru0wduxY3dxCBfW6hoP06SDPn3vuOajgHkcffbQuQ2pKnH/++Vi+fLmu9SDNOqR2g9QykHXleVtbGx588EH87W9/29SsYs6cObqfiTFjxuC8887TNS9ycnLwl7/8Bddcc40uW5pKZDaXkLJ8Ph/mzp2ra0JIDQgh63z3u9/FqFGj8O6778Lr9eqmHVKbIjc3V68jHW7KPI6iQUREexpDshDp50RERLSDTJkyBaeccgr6DBqES666Cj0HDgHi2fuItlQA7fd5sXLBfDz64P1IxiL4cOaHOOCAA9JrZJ/8CSKB/D//+U/dJ4NcAwn8ZX4gEEBJScmmoF0SB0cccYRucnHOOefohIX0FyHrSHLBJU0kTjvtND2yRmNjo+6T4bXXXtMJjRdeeAGHH374pqYdMkmCQJpETJ48WTePePXVV3USQZIXmQ488EB9beRYpZmFJBSmTp2qm13cddddersBAwZsOifpx2L//ffHlVdeiZNOOkl3pvmtb31Ll/X222/j4osvxsKFC9GrVy89j4iIaE/AGhBEREQ7Eb/fh0FDhmL4qNHot8+orE2D9x6FEaPVPgYO0LUubBU470gStA8dqs57+HCMGDFC13KQZERXZH1ZRzp5jEQi6bnQfTVIB4/5+fk6GSDksbi4WNea+Pvf/677dfjf//6nExJS62L8+PG6o8ra2lq9vpt8mD9/Pp599lndV4PMy+yvwU1gyH6kdkZ7e7ueL8clx1NfX6/36daacI9FuM9lXSIioj0JExBEREQ7FQdJqZ4fjyIWj2V1SsTiSCalNoD0PLHjEhASkEtzhI61DjoG6JlBvCQDpLlEeXm5rgEhSQd5LkN5HnTQQRg2bNim4F9qS0jTDEkM3HfffbpmREtLi26KIZ1DVldX4+STT8a6det00wxJYsgIGNLRpHRSKbUkZH9VVVW6U0mXJCZkqE9JhDz00EOorKzU28o+pKzjjjtO17boChMQRES0p2ECgoiIaGdiqqDUn5oCKujN1uT1qj8B1D4Mr9qXCoSlR8odRRILEuBvqU8EN/mQ2Q+DNHO44oordL8Rp59+Os4++2ysX78e//d//6ebNrjBv2wrzSd++9vf6tEzZF2ZJAEhTSSkxoU0zbjqqqt0U40zzjhjU18Q0oRDEiPHHHOMbsohTSmkxoPMkwRE79698bOf/Uwvk/1L0wxJgsh2EyZM2Cxp4nLPgX1AEBHRnoZ9QBAREe0Eprw+BaeeegpK+vTCpG98DYW9esBJBNJLtz/HsHQSYv2qNXh38qsqGJY+ID7QfR18VeRPEAnGN27cqGsMSCeQnXWEKYkAqcUgHUb269cPPXr00LUHZJJkgDSVKCsrQ15enk40SI0E8fjjj+vhMKWpxbhx4zaVIZ1USpmjR4/WHUJKDQchCYEFCxboIT2l7wnpw6F///76GJuamvDpp5/qji5HjhyJNWvW6Ec5XklGyBCdslzKkHLlXKSTSulIU2pTSP8Qbn8P0jxj1apVet/SzKRjzQ8iIqLdFRMQREREO4G33noLJ590Uoe+GLofmJqmF47tQIX06lV3PtpT38JLvQfZi9fvx6zZs7Hffvvp+V8VCe7dZII87yoYl4SBLJM/W9z13T9h5HkmN6kho2lMmzZN9/eQ2UFkVzrbv2wjU+Z8txy3hoUs21K5mTLLk4SI1Pzo7rZERES7OiYgiIiIdiA3IJWmAxdfdJHuCFEC0m5/PKvVJIiVb9Xl23n55l4HxluLaR1b/grQTyXpMWrUaPz73/9BUVHRbhEQX3bZZXjjjTdw+eWX41e/+lV6LhEREe1ITEAQERHtYPLNu1i3sQb1DfUwHUPnD6Q+w9Y4altpQnD1NVdjr732wg3X34hEcut9CxjpGhC27EhN/fv0R0lRiZ63OyQgZs6cqZtDyAgXMlIFERER7XhMQBAREe0E5OP4iwb+S5YuxYknnKD7K5g6dWqn/SjsSb7MtSQiIqLs6X7jUiIiIsqaLxMwP/H443ooSelgUUZj2BVJZ5LS0eP2IkkIaYoiI1VIudkacUL2I5OULzVZ5Hl3yHrSB4QMH+r2JUFERLS7YwKCiIhoFxaLxXQAK50sDh8+XPchsSv617/+hXnz5qVffTmSzHn11Vd1vxiSmJGhNxsaGtJLtz8Z6UKOPxKJpOd0jyQtpJ+KuXPnpucQERHt3jy3K+nnREREtIuRb9IPP/xwHWxfe+21OPHEExEIZG/4zu1Jjl2SBXPmzNGjVVx00UW6RoDUWJB5MlSlNCtxR4qQYS6liYmcX0lJiQ74Kyoq9HzpxLNv3756dInm5mb86Ec/0sN1utvLMhkZo7GxETNmzND7lmE7ZfQRWV/WlfVaWlrw3nvvYe3atXrIz8wRLtzjleOSdeS1DK25cOFC/PSnP9VDfcoQoFKeLK+srNT7lz465LnU8pDjl2RI7969daehct/keGTIT7/fr/dDRES0u2ICgoiIaBcmQbMErhLYHnLIIRg0aFB6ya5BAnqpPXDYYYdh3333xZtvvombbroJ69at0+ckgftRRx2lA/rf/va3OkHw/PPP6+FCJQHwgx/8QCcgJLg/+OCD4fP5dPLiscceQ3t7O4qLi/HRRx9h9OjRuOWWW3SNA2mq8p///AeLFy/GJ598gn//+9963zKCyPXXX4/58+frTiylZsLxxx+/aQhOOdb3339fj6ohNU1kHwUFBTqx8cILL+h7MXbsWPzmN7/R20vZUtaxxx6LP//5z/jHP/6hEyYvvviiTqDIMUkS5Omnn9aJC6nFQkREtDtjEwwiIqJtJIHvzkaC45ycnPSrncPWrpMcs/SDUFVVhT59+uh5UiNAkih333037rrrLixZsgSzZ8/Wr0855RSdnJAg/7///a+uaSCJB6n5ITUe3BoERx55pK5RcOONN+paDFI7Qo5lw4YNOnHhJg6EJCJkpAxJFEiZNTU1+NnPfqZrNEjSQ/rUkCYuksyQY5VmItLJ53XXXaeTH9IEZuLEibr5iyQ4FixYoJtkSBlXX321rt0gSQ+p2SE1JCQJIccr+5LaGKWlpfo6bK/mJ0RERDszjoJBRET0BUigOvfjj1Ww2a47H0wNnLmtUgNtuttmDrspQamQj2lZLss27UM9uB/fsp5M8i2+BOhS5V8C5Uwdj22zsjqx2XFk/L87ZFuphTBMBeTjxu236Ty6IgmHn/zkJ7rmgdRCkISA9I1w+eWX69oOUlFz6NCher7U8CgqKtKJB2n6cNZZZ+HXv/41/vCHP2DIkCHpElMuvvhi/PKXv0RbW5uuYSEJCkkaXHbZZTjzzDNxwQUX4Oijj9ZJhJtvvlk30ZCaFGVlZTqBIZ1Xyj2W2hdSs2HZsmU6mSGv//rXv+rjlm2k2YgkTKS8V155RdfOeOSRR3TZkoiQ5IfsU5IQ55xzjj4HqdVx4YUX4rnnntOJFzl/aaZxxx13bLqfREREuyMmIIiIiLrJsSwYKhh9f9o0/POhh+EN5cHjTw15mRm0d58Em2pbN5mg/kk5HlPNNExYSUtX/9dJCJmnHi3L1tt4VMAqiQ/RMRnR8aO94+vO1smUGQCnVut63Y5Mddy2nURbQy2GDxmE66+7Fr179VQldB5YSy0ASQBIbQGpnfDwww+jrq4OP/7xj3Uzh9tuuw2TJk3SSQaZDjjgAB3Uu6NOSILinnvuweDBg9MlpkhiQLaVmguSgJDaEDJ973vfw2mnnaYTBscccwy+//3v6wSAJBckMSD9Stx33336UZpqSA0FSTbIMUnNB2nSIX03yPWTpI8kLe69915cddVVurNLaYoh8yT5IUkMSWhIAkWSCyeffLKeZLkkRB5//HFdviRfpA8KqUFBRES0O2MCgoiIaBtMee01PPTI4zjxtDMw7uAj4MvJc6P0bac207UR0oG5FGOaBtramvHJJ/Nx6KGH62DXtqUJQBuam1owYEB/zJw1C36vF+NVMK5rX+jN5X+qtE4OpWPgLx/9kuzQm3Qi80+DLa3XGdk0mYijubYab7w8GVa0Db/8xc0o7dErvcbn3XDDDTjjjDN0QkCaJkhA/53vfEfXQJDaDhK8/+Uvf9F9Nnzta1/D22+/rftmkISFJBkkMdExASE1KKSPhTFjxmDKlCm69oM03/jud7/7uQSEJECk/wVpinHrrbfi1FNP1Ykf6YNCkhtSjuvJJ5/EU089hXPPPVf38SBNKyQJcvbZZ+vaFHvvvbduLiL9UUjNCemP4ve//z3uv/9+XYvivPPO0x1uyrFL0kWutSRFpFbGN77xjfReiIiIdk/shJKIiKib1q6txh/vewAnn34mjj3pazA8fv2Nv8dj6EcJWrdlkrheJk/6tTw6toX/PvpfjB41Cv3794NtWbpvgymvvoaZH0zHxKOPQp9evfDqKy+jR4+eKC0pUds4av+SKpDj2HySMiUQlsSG7Cu1ntqvet1xXXdy19PPzdTzVBmfP4eOk1etJ80JSkp74iAVhC9evATRcAT7jNlbldo5qQUhwfkRRxyhO36UWgZSI6GwsFDXLJD+Gg499FDk5+frWgnSDEKSBDJ/5MiRuoaBNPvIJE0ypG+JvfbaSzd7kE4eZV1JEEg5krCQJh+yL2lKIYkK6TdC+nNYs2aNPgfpq0H6dpDzcsn20sxF+qaQ7a+55hpdi0HKkD4mpLaGjEoio2hIGZKUkDJef/113SxDamRMmDAB3/zmN/VoHnLeMqqGJGDkfImIiHZnrAFBRETUTdM/mIn/++s/cesdv4cnmAfLVsE5Us0gvgjdhEJqI6gAV2op+HxePSxkedlqXHjRBfD7g3o9Mx3UJ+JxXWNCPro3bFiHV156FVdeew0SsZherzNSrpQv2zjpJhtfhA7CVVndIX9YOOrK5AZ8eH3yc/AijqsvvzS1MIP7J4gMuym1Ae68804dqMswldKJ4xcl11XKlmOW5/LYsRbI1sj2nW3jHrO7TF/X9L6EdFjpPpd13HKuuOIK3WeFNMEQ7npSm0L6ipCaGURERLu7z1L6REREtEXh9lYdOOYW9VCBrQo6HUkgqI/SLzV59KOhwvRIOIEVCxdiWL8+yMsr1qmNaKQdSxd9ogL5Z/W354YhwbSJoqISRJob0FJXB9PwqEBXyulqytxX55OhyjAMrzqOzpc7anvHVgG1mj4rr/PJcAx1bSwk1KMvLx+xaFj32dCRG8RLLQQJ0KU5gzRdkE4ghRvsZ5J5OnGzBVKuG/y7yYBtIdt1tm/hHrNw13H3lWoOs3liwl1HajhITQgh82Q96WdCamJIcxIiIqI9wbZ/KhMREe2hTB04qkBTfXwa6nmq9oN8lH75yTS9qN1Yh+a6WgzRTS+kRoQfFZWVSITb8MKT/8Xy5ct0QC3Bq18tK87Pw4qlS+HxeOFI4qCTcrs/pZIQ8tjZ8k3Jh06WdZykEYcHFhxpv6FeexxLzek6oJeAXJonjBo1SjeDcBMQbjCfSeZtLangruNeq87K2ZKt7cMtzy3bnTL3mblvSVpJ3xXSBMRNPghpNiLNQ2QUDTdRQUREtDvb8ic4ERERfWbb4tjPkb4a5Ftyd3Jjcgk+HcdGNBbVNQUCoZB+rVZHn969kbSSaA+362/QZV3ZVjaVkTCaG5t0/wxd2bS+BL7SD0Q6+JVz2ey1y52fnr7sOadIIVsvSJqZuEH77kLORZIRqXu8eZJBEhBy7/S92Y3OmYiIqCtMQBAREX1FVAiaSjq4k0tmq0l3/OgxYUuNARWPJpNJ9OnTBzM/mInDDz8SPr8f4XB7KpS3LL1pID0k5BalF+sgNx3nqjB/s9cumbfZ1HGFLHD35T7f3Wy6lhnn6dawkNfucyIiot0dP/GIiIiyxlYRpgXHScK2E7BU7Jkwjc9NlsdUywwUlRQhWFCM6tpGeHwGfF4P6hubsWxVOQ45ahLef3/apoA1adtobW/DwGFDELeSuvuFzJoLHScZpSOTJC3cmhGZ3PnuJEmTzcr6ChISREREtHtiAoKIiCirJMCXzgkdeNSnrtcrQ1pChfEyOoMDn3rt9Ur2wEZpaRFKe/fCmrVr1VbSv4SDUCiICUcchU+XrcCwYUOQk5OjkwKJRBzhWAQDhwxG0pL+FlLfpnc1dZo3kEPrWHnCnZeeulUOERERUTcwAUFERJRlUnNARrDYsLYCG9euQVt9DbxOHPG2ZtRUrcGGijJEmuuRTCZw5MSj9DCUa6sqIcNmyogX519wAc4551zstdcovY5kBhYuWoix+4xNVd83pCPH1PCTW5s21XiQXEJGzYYua0Sk+60gIiIi+rKYgCAiIsoyielr6+rw/jtv42c3/BCvvfQCgh6gcuVS3PHLX+DV/72AmnVV+kN5xMiROPDgg7Bw4UJYyaTeWJIMgUBQJwOkKcXixUuwtrIax514ku4nYhPJHXRnUgz5l1mzQaSXfY7eLmPjLlckIiIi6hoTEERERFmjAnvHo/7vxYjho3Dhty/D+IMnoLqqClYsDJ/PxEmnnoorrr4OI/YZj6TtIBGPY8Khh2H48JGQ3IJh+FTsL0NkenVZju2BzxPEaV//BhAsQAI+WHr4zK1wazykkw0dazw4an5n/VO4k+VYav0EHMhBpZqHEBEREW0LJiCIiIiyRoL91GRZKtg3fbjwW9/GqpUr8OBf/4IF8+bjlFO/BgtexCwJ6VMJgkQ8gREjRsDr9amgX4ZoNPUkH9uyzujReyMvL18P0+n1eOH3mPCpxZtqMnRBL89cRXIIbh7BcFRZSPVJoR5NQ5p/2Ol5pu6/wti0gbsRERERUfcxAUFERJRluh8Fy0YyEUf/gQNx7nkX4MUXXoTX60VhYaFaLqNkyNCbBjwq4vf7fIiEw2pDR2/rbp8qDLBsSQ6o57F2rK9YhcqVS7Cushzt4TadSHBl1niQ/8vzjv056JoQUnYyrvunqFy1HNXlK2BHW2EmIqipKtevq6oqkMhs7kFERES0jZiAICIiyion3czBgdfrQWNDIyKxGC7//pV47pln8emiRfD7fbpuQywaxaefLsbL/5uMZ558Qm+Xyh+o7d2aC+lHmR9pa8Z/HnoQP7js23j7jdewsaYWHtObXiGVcHDXTyYtrK2sVMs7+ehX61nxON5+/VXcfN3VePPVl9HW1Agr2o7nnngMP/7h1Xjv3fcQUcfnJjSIiIiIthUTEERERFljq+DehuGx4fWZeujM6dPex6BhI3D+ZZfjtDNOx6MPPYjWjWtR7LcgQ3NayTgqVq3QtRpgSK0Itb0pk6VeSw0EC46TQNJKoGeffhjUtxfGjt0b37r0uxg5ciQsS21jGrqzylT2IZUwsBMxvP/26/CZqWSITlCo49KTKju3qAj77rsvhg7qh8u//wP0GjgUPXr0wND+vTF46HCcf/63UFRYCsdW5TrS5wQTEURERLRtmIAgIiLKKulbwcS0ae/h+muuwQN//jPa28MwvQEUFJXi7bfewU9+dBMeuP9++ANBTDjkEByw/ziEAtLppK22Tk1tra2orq6CYaRqRZimgbrGJnw8exbG778ffIEQEgnpIFL9p2s+SKLBUpOtVk49T0bDarEj6Yf0ep9N0UQCc+d+jIED+iMQzEVcFdXY1IjZsz7EoKFDEQyFYFuypVqZyQciIiL6ApiAICIiyjIZKvOggw7Gb3//ezz65FM46OBDEG5vx6QTT8HrU2fgt3+8D2dfdInOBMi6MukhNz0ePfn9Abw0+UX89vbbkbRtPU86qKxZvwE1GzZg1KjRujNKSXZIzQdJQEiiwvRY8PkdBAIGvD6ZvAgFQwiFQmqeX62b6hPCsSwkYnF8unAhGhob8eyzT+F/k1/AU088icWfLlHlj4I/ENisTwkiIiKibcUEBBERUTfpmgPq/9JUovs1AVLrSRKhqKgIRcXF8Pl8qXmhXOQX9UBeYSlCOQVqXmazic/KluYWJ5x0En5w7bXweTypviHUcWzcsA6m16NrKLhNL9ra29DW1qpeJzDvkzn4YMb7+PDD6Zgz+yOsKV+DadPex4zp09U0A/UN9Xovcl5trc2oqqjEGWeehRNOPBnHn3gSRozcC/6AH0OGDlHlbUsHlHJ0Jox03xfOZ6dCREREezAmIIiIiLpJpx2cJLx2XD0zYcGv53dNfcw6Mnn0ZFsm7KQKzm33tQEd16v5SM/7bPrsIzoZT6JP7z445NBD9QgYjpoSiQSWLvgYw0bujQFDRyJhJdTBJbF69QpUV1fCNE3IoBVSfiJmIZlQR+9IHxNJVV5cLYunR9YwdBJj3qyZ8JkejNlvAnLySpGfX4C1a6vQv39/DB02Qq0vzTm6x1ZlWgjAo/bnddR+jHSzDyIiItqjMQFBRETUTdIMwVKhdCTcpgJ8j3rWna/23doMn59S/zKpwN2W4TotHfAnLbU39VpqTCxYMB9PP/EEPJ7UR7cM01lRthJ7jR6jA34ZxnP50iWYMe19lBQX6YD/kEMPw1HHTMIxk47H4UdOxNBhQ3HscZNw9CQ1HTsJJaUlan+p5h6zPvgQgwYPQV5ekZrnIBaJYdmSJRix117Iy82F40iyortSNSCkn4pYNKyPP1Xrg4iIiPZkTEAQERF1k4wykZubg49mfoSA9InwBT9G9SgVHhWgpyfJQkjfCuFwO2ZMm47lK1fA4/Vi+vvvo2bjRh28126sRXnZal1robWtBdOnT0MgFFLbAa+/+iomP/8CHn/0UfQfMAC9+/RJ1ZKIxRGPxRCNRhGPx5BIWIiEo/q1DPkp6Y9oJKKTFtLEYvCQISgrW4VYLILpH0zTx5qj9lFevhqS0ZB9p4YU3To5r4gqe03FGvTp3Ts9l4iIiPZkhvpDgrUiiYiIuunZl/6Hfzz0GC7+zpU4/KhjdTJha9JdIWyi+3HM2MxOVy6Qmgc+VZ7fA/UIRGSZ5ehaEV6vR2+nR7pQvB4PQmYSjuFFTG0vLSz8XinURlzN2KyzSPU8Hgnj1RdfwHkXXYK4WlcaRei+LNRq0lzDL3UW1DFKWfCakAEvAkjCtKKIqWc2fKlDVv/LLLpTatsN66vx9H8fRnvjRtx912/Qo7AwvZCIiIj2VExAEBERdZN8ZMoIFa+88iqeeOppWJ4Q8nv01aNJZCYUPqfjJ22HdaUJhNBJA7UPae4gz93N9OqyC8PUx5Baph71czVP/UslMWTb1PKObMtCY309evXpoxMdKal1dRJFzdPbmqZ6qpar/3QxtiUZCvUkXdvj80VvRmpVJGJRtNVVYnD//rjqqiux114juzwuIiIi2nMwAUFERNRN+iMzHaSXlZVh2bLlaGtv18u2b2ztFuZ+RHd83ZWuD0KSFB7Tg6SV1EN1psraWrnd3e9nJLfh83kxeOAAjB69N3Jzc/VQnx6PJ70GERER7amYgCAiItqjZCYeiIiIiL46TEAQEdEuzlYhtTRJkMr/tvpgk+D6swDbVk83n7P9yAeobvmwPehRJtJH+qUP1v1od49Oajxk4wp0TvaUbrCR4h6OkT4eGWJ0a4eT+dfJV3foRERElEVMQBAR0S5MPsKSKsw21f89qf87lopXN0W8sA2PDnilnwZJUqTmbj9f7kNUAvJ0cwh13LAlME8H5zpY3yyM3zI5EDUZhvtEZqoy5ZUE/FLWV9QHw+f2In9qqNOxPJIgcmDa6p5IvxNdHY6sv+nPk/R67D+CiIhol8cEBBER7dIcFWQbjo0YvGhTn2gB9VzCbemLwKNiVhm7wSudKKrn0rmjPNlZOkOU9IAkTFRYjrBtqHMActQUUodrq2OU8+gu3SmlekxIOZaDlnAMPtOD/JAXAbkQhuxlW0rcjtR1l2vf6JjwqvPKU2duSmKoq/tgx9X/1BmZfnWR1P2S++bdQcdORERE2w0TEEREtMuSDzBbBbMSxDeFDfzz9QpE4vlIxiUcl84QTfQscjBhTC72HRRSMWxCzQ3sNAkIORqvHYNtmJi6ohGvz6nFqWNLMWn/Puq8HJg6pdA9sv7GaAyfLElg9qcb0Zpsg9/Mw8DCfBx+YC5GDgwhV3c+uQOoPzXqGyP468tlGNy/FN88ojdCkmXp6vycOGJqm/VtNmJNCQzvlQdvkAkIIiKiXR0/zYmIaBcn3+5buluBDW0BNDh+lA7wYvBgH/JKDSxvNvDY+7X4aEk7DDup1pZaEDom1q0eHEu9diQVIEmLBCyZr/5J0w7YUfWYasag0wUqMNaVKPQwlpmTSKplqXUs9U+vIv9zVDlSltA7/ey1hN9Sg8NR8/JzgxjctxiF+QE9Vx+DrgmQOl79mC5TipESJPmS2pGFhgjw9NQmvP1xM3KKSjF27HD0HdIXqxv9eOydWsxcHdaby7Cajj5fmaQUOb+EPobUcvmfkFdqkp2pmak1Jc0h5yjzZHu9haKOU11bqPN31EXVc6XWg8yTAg0bPtOHAT16o1dhITzSvESG9/zcdZQ9yPHYaIyZeHRqHaYubYJtqmVqXRk+VN0htVzqiqQPVO3D1seu7pVcr03HJvuWzeR4Np0UERER7UCe25X0cyIiol2K+/25oQLOdsvE1EVR9MoL4uKJBo4elYP9BnlREExi+UYba9f7sO8gH1ojSaxrjKhtTISkGYDaNmrFUFETQ3M0gtxgCGsbwmhojcCf48WK9RFUrG3Tw1fm5jrwqADYUcFtq+NRy1pQvr4dlU1xFffaULuGaSRRE7ZQUZuEz7bRGrexdE0b6sMJ5Bf4EE7YWFnVrvbXBo/Xg7yQV23rIKAC9N65QN+iAHIDPt1FQjSZxMraGJata0NDSxRmQB2zT4LpGOKGBVNtZ6qXjhnHnOVJTJ3nwV79k7j4mAIcOcyrztdEOBxB2fooEnYE+w3Mg9qb7mqitsXC0qpWrG5s019HhIJe3SyiSV2byg1RRNT55Kr9mYaDmAr8l9dH0NTWhhyvA68ngA1tcXUeYVSsD6MxEkVuyA+fV11NFf9XNyZQ1xiF7TWxrKoZLeoaFAd9KMhX51fqQVGupbu6iCa96tjCWFHdgvVq/YQqO1etl4gnsWKdg+kLHYRyA2o7CwWqbNNjo0WVX7m+EavVdrGIg7wcda2kbwlDnYftRXVzHPPWt6JC3XM7mkR+MKGus3zfwmFAiYiIdjQmIIiIaJcm33cbSCKcNDHt07AKpP0YN8RAYSioAlMf+hXnYE1dBBX1HvTqDaxtiOClGRvRFnMwZohaxxfH3AoLL8wII6mC/rH98zB5TiPeWxzHhhYfpi1ow9KKOJasseD3BzCol4m2pA8vfNiENxfFsGxDAksr41hUnoClAuDhfUNYoALz5z8Jo6w2innqmD5dEcK86gjWttVhVbmBDxcYmL1BBe817RhQFEJJfhAL10TxwkeNKAhaGNI7F81hG4990I4Zn7Zi0dok5lVaWLE+ipJCP3rle1U4LckQrwq8bcQNA+/MbUZzLIaJY/0YMzAHtp2A3w6gX48Axg4PYdzQAIqD6koZfny0rE3tK4E55SZWVsewaBXQrq7H4P4BVKxvxtMfRLGqNomxw4IIquB+9cYonpnegobaZowd2RvzVrTgsRkRLK5Mqu0dzK3MweqaMAb2DcIb8OENdf3enteGNS1evKeOP+YJom+RH09M3YCGuIlRg/IRt4Fnp23Eu4ssrFybwJJqC/MrY/A7cXiCIbz6YQ3sVqj7ZOOT9bXYa0AAXstRx9Gq7o2F5dU2Fq9qxcb2OAb2zEFI3ZuP1zh4emadKkvd7/UmPilrw4rGJPr1ykeBX5IQREREtCPx05iIiHYrUivCrRkh2YmA10RergFHBdJt4VYMLgnBMnpj/hofGlTQrUJeLKpIoqXZg1EDgipAj6HR8qC2IQ60RnDpyb1wwH45qFEvP1ljIY4c1G2Mo72mHQcPCOGm0/vgnMNK0RY1MWd1AvG42ns8gaYWG+saLEw8Ih/nnu6D3+fDzCU5SJhxXPyNAozuXYIVtUGsWq+ibKU9CdS3+dX2UsPBwLuL2zCvKobBvfy4+uS++NreQdStM7FmRSts26vW8epaHLZhSeMDFYirfXg96BVKdTXp6O43geJcE3v1DmJgYS48ngCWlzfgfx/VoTWRxHlH+fHNicUIBD14e24CH85rwsA+eSgqMLFynY3qOlWykVTBfhw1zQEM6tMDvmQcVTV18HobcdaxBfj+N0owoMjCkrUerN3QgIARRzQeQE2rjdamFnxtfBGOGWRC7UIdo4nGmEfXFtnY0Ir1DY3Yf7gXPzy3FMccmo8NTUl1L2yoQ8Zh43oiHgigtNSHcw7uid55QbyzNIaFlQkcNtyHK8/qg31Gl2LWsjiWr0kgYfvw7sdNsJP5+NbE3uq+lGK/4X40xGNoaJemLERERLSjMQFBRES7FyM92KZtqEfpSUGaTASl12UgGsFQFYwPUkF9OGGisjGGuiYL6+tM9CpJYmRvny7Cp8oI+ZM4YkwuRqj5Bw4LIi9goc2KI24nMbBfAOefMRgT9lEBdXMDIipQDyWT+kM1oQJ7aeaQYwMjevowfoCBUX0iKAxFkBfMxz7DcjCiOIbRPU2YloWw5BvU+nLQXsOEI20v1OuVG03kexI4eGQIw4ttHLtPHr41KRcTxhaqdRO63wOdqpAqIGrPlmHDtgxdKyLFB8ujzt2Ip64HkkjGVLnrY2hMAEfsE8KEQSYOGuzDfiNN2Or8lqwKQ7qg2GuQjBTiweqqdsQSDqpqLIR8EYwZkYegN46vHTMU3z1hOIp9Mazb2IpAsgl+TwxW0lL7t2Ha6op7bEwal48TxoUworc6VyfV7MKrDsa0khhUWohLz9wHB+4dROPGOjQ3tgIeLxLquHN8UYzo69M9ORSp4zlkQAh5Hg+Wb4wgmJuL/oVJGMkW9OstzVeCqKqPIBKPIj9ooKk1jnfnt2LWijj27l+Ka47uibGynr4G6orpPiKIiIhoR2ACgoiIdhOphIOpAnMVTuuY3lRBdwwqOI35VNDroDBUgIDPgzHDHPjVCis2xLG2JoHaRhODh/jgN/3wOmpSgXzSDCA3R4J5D0KGAZ8dguXY6pWJlqiFt+bX4/lpLXjxYxvzapJo96hdGmr/Xge2EVBHEESeP672E1Rl5quDMRDyhNEjIH0ReGH45RgSaj2/ei3DUkqyxERE7VcOPtFuQcXTyMlR//PE4fV7MH5kHnqWSHJAOlj06G4WDduDoONDQU4U7eq0a6MSYEfhsdV1UOvVNsYwa3ErVtdGEE/IaCEhOGY++uaprVXRkpzoXeiFNxRFq2MinIhjn6E5KM71oXyjjYVrLVTWWjhgiIk++aa6Bl4sX9aM12Y04MX32/DBcgeV8TxYRkwdtl+djwr2PaY6Ax96FqhjlZ4+vUEkPZKaSPdZofZZHw9j2scteO79Bkz52ER1jdpWXWPHVNdPrStHFlTHG1Kbq6uDhMeLpLomyaSDmUsdTJ7uwczFNnIKfQirNbyOg0kH5WPgABMr6iw8PbsVD7/XiIenxbBkvXTcaavy1TlL1oY5CCIioh2CCQgiItotSEwptQECKoi2VBBveQzETRNlDQ7qGlpR6IliQO88tV4UY4cG0CfXxLJVSXxSHlERbgtGD8jXyQVJA0gqQ1dESJOyZb50QBlQZc5f3oK3lgKDBpbi8mPzcNKhBvw+B8mECqBl7U3fskshMkeiXkkcqGOTUTdkvl4lYyeKbapQ25Z5Bgp8CYRtC01tUg9A7TmZxPPTmvDR0kZE4rr3B3hlOFHDq4P6IaVexFWZS9erbVTQLn1DyKAcs1Y6eHoaMGV2TCdBCiWrkfShrk2VqS6Y1A9pURvYkRB8gRh8nhCGFAZxwDAD1S0O3lyURHsijiP26gG/OveaJhNTFhlY1ObHqRNL8P1jgxg2UBWpztkd3lROzVT7Mj1ubYzNGR4PPl7RiJkLvRjSJx/fPjmIE/fPRz7CMNQ523ZQFeKF7QFiPhsxrzpB00GuUwKPGcLB470475g4zjrcwcWTQjh+v1J1373omefFGQcE8ZOvF+M7J+Wgf28LC8vjWLSiGYlEQh0T/+whIiLakfhJTEREuwn5lttBfdTE9LIwXlsYxeRZLXj27XrU18ZxwKgg+vZQwa8K8EsDwOjBJupaY1i0Lo6B/UMYUKKrMEjsrwNonUNIB9TCtlX56deRVgdmwoLX0wavmUD9WhUgt/rhtZOwLEk4OKn1dZIhxVYvpPh06fr/Mi/1OjVHD3apV3Iwsr8fsXY/PlmcwMK1Jl5fFMHbC2ysWC+r+HSTEqnxYRumbnRx6Igi9M9pxeJy4JnpUXxU7sH/FkTx9tI2tW4U+w7xIZiTxPCBXuSGYpixtBUfVHgwszKJmSvCCCYcHDjMj4DUPrBNHLKX+hNBBe1l60yM6O1HaaEcZxxRdY4tcRPFdiuCat2qehsbasIw1bVJJq1USmXTuX92/YS+BuqfJHqsOjmPCDyhCBJq/qdVUbTaQSQkP2Orcgx1Ncwo6iJ+LKmwEY7aGDrQQmtrs64tkUwUYs1KB/97pgVryxNIqGP7zxuL8PS0OkRbTYwqCWGkOu6cZAIhj3TWmToGIiIi2nE4CgYREe3aVMAqNRZak6YKVJsQcyxU1zWjssZCfVMCBUE/Dh5VhKP3K0TIG1Xhr4wgYSEvP4A55THEwj5M2i+IfQb4dU2CmOFgaXUbnPZ2HDy0ALm5JtriwPKqRhTkOhiv5uWH/KhrasHysjCWrQbCjh9xM45AKIyRA0OIRWLYUNuKvj292GtAjtqbgSWV7bCcGMYNDunmDRVNcayracPevXwY2idXvQ5jbV0ThvUJqoA/Fz2KvUjGfahZG8HsJe0oq49j7EBg4vhi9CmQc25TQXUwnSRxkBf0YlDPPMQSHqyojmJeWRIVdQn0LTFx0rhcHLSXDJNpoyg/hJIcDxoao5i9NILl5U0w800cvU8hjhpTAK86f6mpkRP0YENDBO3RCI4clYORAwK6fojPG4DV3qaubxwLV8dQ3ShDYearZW3olx/HwH4lWKauX3skgv33ykNRyAfDMhCOWfh0TR16F/vUeeQhryiI1fVhLK00sLRclesz4Dd8yPdEMaK/H0V5ftQ2JlBZncSK1XUY2j+E0eraxWNhdS9imLkkisq6dvQdYWD8mIAeSSSZV4o1apv5SyKYvyx1D4YPKsLh+xahhzrHVN0Wdb3kmjEhQURE9JUzHPm6iIiIaBfl2IBl2mhL2qipj8CwpScFCTZtmCqQDuX60UMFs9LngyN9AJhqHceL5nAA//divY5Dv31KLob0CKiCDMSNBMpVUG22JzCoOAeBfAPtcQPrGttVgGxiYIkM72lhbauDyo1J5Pni6NNXBditfoSjDnqVeuBNJtHQkkQgGESfYgOWo9ZvAMJq/qBCFWT7VXkRA3UqWB4Y8qBYzVsfT6K+JYLinAD6FObAK/1XJKNYWwNsjKqw2edgTIkf+Tl+XcPAMCxIp40ux0moeRG0xr0qME+gNWrCazroX5rqu0HXKpD+JRzZHmpfMT1KhygstdCvMAivkeqEU7NsrG+No6Y9isEFIRTnyz6kHB8SkTgWNTiIJZIYWGyiNGhjTUscRR4HPYsLUaG2i6h1+vfMRY7XgN82EY8lUdYYRijgU9fAD8NrY4O6zlUNcfhDFob2DKG1Oal2m0RRgY1CdV2a271YXWPD8njUch96+m2EbQMrGqJoa3dQ4vdioJqfr/YvnW5K7x81rWFUN9pIJEwU+y0M6uFHXkj62WDGgYiIaEdjAoKIiHZZ8gEmHTFKskG6ZPToORJEq2BTPt4MR8J49doDrwqc5Zvv6pZWlNUmsbwqgE+Xt+OQ0Ql848h+yPWoIFYF9jDisI2QCmUNOEn1WjaTxIV0/OiogN8y4XjCKpiX4D+oJkvtKqaOwKf24tfPZT8q7NaBvoxYIf1OGKYEwQE1L6qmpCoqR82XkTCk3Lh6HVDbqOd6G69uWmHaEcD0qfXUa7VUam7oJIAjjS+knwX1vzTHkWXx1Jf70hmGLkhWUMery5SkRaoDTMdWZyfxuI7JZWFCPagX+hjTrLh6rdZVx2HIMZrSsYQHtuVR26r9q6JTRaSP3wiq9VRZcq3Uuch1lPSGdFopR+O3LHVaqnz1wpHRREwHPlW+7jBUTdJkJXU+ao4j/V6oZ/p4ZaY0j1EP+nr41aGqY9BXRC1Tm0vNBr2x2rd00Cmdgco2hjROsdRzdQ6bdepBREREOwQTEEREtAuT1IMKbG0JNtUrFXzaOrJWAad8uklcqoLiVOeIqSB0SUUrnv+kDfWxAIYXJvC1Q3IxpCRPBfu2DrZtw1ZrSoAv/1KdUaa6alTBvf7E9CKm1guoj0/dYaQOklPrS+0L6cJBxfeQfIbMi3vUC/XoV4GwpCUsealInwnSj0OqDkLqtS0jRuh9ykqqTInN1X5Tm/hUMRJMSxmpI/JLYO6SdVXsrzbTI0nIo0jlIuQ41Qped2/qujmmPla9keOXvepzddmpnet5Oi+jtk+lPYRaJj1E6jmpSeqcuOS8pT2LYUvyQS034upRen5I7UDKM9XODdNSz9Vyx6OWqjKNhBy8mrzpAxepY7dVeakrKMN8yhXx6PutkymmOha1mox0oWu+qDJkTTkOeS1NSmQiIiKiHYsJCCIi2oWpjzAJlCWYloBTBa0y9OZnJHpOBcqpKN5BPGJhfWtMxfMm+hQG4fEY8KhiJDSWD0RLryqBq8xRYa6aKfF7KvxNBeVS18Kr5puSMNDlyv/kOCTolSSGbCel2UjoBIXanWyq5kv5UnIqHNbpE/1PXm9KRsgkyQl1PoYkPtR6ukaFpQJztdA2VOCu/nl1bY802Z1OUMjyVOgtL6QsI5VpkCfqf+lJz1PXSppy2KpsQ4J+WSkl81hSJckxCHklJyNXRF6lztl00tdZVkoXL7vTSRlJNKjrkErsqGXqOHXNByOh9iM1SVL9csi56j3qsmS5u9f0/VWTfiaFSElSW0XNMR2ppiJbpO6Q1ISRZ6k0jQzi6VOvZT9ERES0IzEBQURERERERERZJ19sEBERERERERFlFRMQRERERERERJR1TEAQERERERERUdYxAUFEREREREREWccEBBERERERERFlHRMQRERERERERJR1TEAQERERERERUdYxAUFEREREREREWccEBBERERERERFlHRMQRERERERERJR1TEAQERERERERUdYxAUFEREREREREWccEBBERERERERFlHRMQRERERERERJR1TEAQERERERERUdYxAUFEREREREREWccEBBERERERERFlHRMQRERERERERJR1TEAQERERERERUdYxAUFEREREREREWccEBBERERERERFlHRMQRERERERERJR1TEAQERERERERUdYxAUFEREREREREWccEBBERERERERFlHRMQRERERERERJR1TEAQERERERERUdYxAUFEREREREREWccEBBERERERERFlHRMQRERERERERJR1TEAQERERERERUdYxAUFEREREREREWccEBBERERERERFlHRMQRERERERERJR1TEAQERERERERUdYxAUFEREREREREWccEBBERERERERFlHRMQRERERERERJR1TEAQERERERERUdYxAUFEREREREREWccEBBERERERERFlHRMQRERERERERJR1TEAQERERERERUdYxAUFEREREnZoxYwYMw0i/2n5OPvlk3H333elXRES0p2ACgohoFzVixAgdGHQ1SeCwevVq/fypp55Kb7X7knPseA06m+SauOvK892RBHZyftm2pffgrsb9WdnStLP9HMkxZTuIv/TSS/Hkk0+mX20/DzzwAG6++Wb9e4qIiPYcTEAQEe3CTjrpJDiO0+l05JFHptfadXyZgO/888/f7PzvuusuPb+srGyz+cOGDdPzafvo7D145ZVXbvP921nI+6bj+biTvMf2JJLckJ+fLZ33VVddpe91x2Se1HDI/Fl2JzdhIj+H8j6544479GsiItozMAFBRLQbkz/yd4XAyf32OTP4k8Dnggsu0AHO9uYmK3bXZMRPfvITfX47iny7LcGl3D/adUkNBbmPXZEE04MPPph+tblVq1bpmhPuz7M7yXvTdeGFF+KNN95gLQgioj0IExBERLsxN7DP/Ca6Y1Vz+aZSgnypTp+5vOO3112t41bDz6wK7jYBcKetVROXsuWb9MzgRJID06dP1wGO7G97kuOW43LLlXOQY5DJPWb3XDPnybXqaFvP1dXxPsjU8ZqLjutkcvftttOXScp152dyz9md5Lw6ylwuU3fPpTMSXIqOZbjvF3fKvLeZ9yVznY7XPfN83aljENtxnc7u3Rcl107Oo+M+OrteHWsCdHaPu7OOe0/dqSvdub6Zx93xurnc+UcddZR+7EiWS4JJfm47kn1KAnHAgAHpOZ1za2k98cQT+pGIiHZ/TEAQEe1BJGgYPnz4ZjUNpI13V99ibo0EIFKFOvObTQnO5JvTzKYP8rqzgNcl35Z2VhuhX79++nH27Nn6MZvkGgwZMkQfrxy7TBKgZc6Tb2szg8wvcq4uuQ/y7bK7nSRb5Hq6gZ8bhGeuI/dN5mUGlWLixImb1unsOsoxS9myD3e9N998c7OgXALXzOYUck5yLp0Fw93hBpfvvvuufhRy7LIfdx/yDblch45BsMzLPI7M6y7nLueb+R6WcmSee13kmOV15jfwQva9vchxue999xjkemWei5yvcNdx73HmNe1qna29z2Q7uU6Zunt95dq4ZXXVVOvDDz/Uj4cccoh+zOTeA3m/yO+Pjtyf1+40A5My5L1IRER7CPXhQ0REuyAVWEhU1emkggu9jjzKaxWI6Nfqj329XUeZ8ztu41KB8OfWkXmZutpWXmceV0eyf5k6UsGY3k4Fm+k53SfbdLXPjscj59Vx/51dq8zj/KLnKrraNlPm9c4k89zr7p6jXKdM7nyXPO94Dd1r627b2Tpb09l1y5S5vOMxuTKvqXvtOp5P5jodj7szmdfItbVr7i7vasosT57LvI5knnsNuzrfzPva1TrufDmmro7bvQ5b219n13dL7ztXV+co5PjdZZnH6pJ57j2QZe7U2X7l2NyyiIho98caEEREuzD1x7v85f65qau+DaSmwYknnph+9ZlJkyaln22bjtWzn3vuOf3Ysc8J91vUrmoySJ8B8i13Zs0B91tWsWbNGv2YTZ1dsy19Y/5Fz1XIvlSApr/p7qppgNTIuOKKK9KvPiP3r+M3xlv6ptn9tv2cc87Rjy53G/ebbnkvybfs27OWQKZ//OMfnfYnIO89ufeZ3JovnXGPW94bndU0kW/7VTC8qQmIy73m06ZNS8/pnAqeO/2ZkvdoJilrS7o6XylHfg5FV+u490reQ+77qGNNhI73fFuub2e1GjrqWMvGJe9Xub7Tp09Pz/k8qfUi68jvB/f6yfoda3aIrn5XERHR7okJCCIi2u6kKnjm5AZrlZWV+rEjCUIkSJGgO3MbCWLkUZpB7Kwyz9M9biHnKsFwx+VudXgJQiXol+Awc3kmSQhkLpNJrpFcl20lx9WxLOEmd6ZMmaIDWCk7c52uAtHu6HicmffXneQcxbbsR94rcj6Z5XVMnEiCInM/MsnxfJnz2RG6+pkR7nvNtb2ur+gsMSDJA3m/SpJmS0kveS/JPcpMzsn68v5yj8e1q90PIiL6cpiAICLag0iQ1ll768x2+tuD+61nxymzk8nOdFxfgiAJGgcNGpReY+fT8ZjdSc5Vgq6O8zMDNzdQk8n9RjnzW/2uvo2XaVvJdeysnMxv9uW5O99NHnSnP4vOuImWzNo1EoBm7jtz2tZvwiWB42775JNP6uPN/HZdrmdm+e4k13xXsqX3vnuPXNvz+royEwRu8iAzMebOk2TI1mrPuDWmOiYdOiZSiIho98UEBBHRHuSWW275XKAmVfQ7VtHuTHe+qTz88MP147Z2XChBrgQzHbnldKfK+Ffti56rkOsv55t5TSUxITUi3HnyXKrVf1nutXObjHRGzkGOJ7OzQglYJaB1mwtsK3dkAzfpJE1H5Bv6L6uz94p80y5BrNTmcBM8O3pkBWk+09n5yvG7gXpX67j3Su6de/86NunJvFdie11fl5ssWLdunX4UnSU2JEkm5PeK+16R+9OxqYVwm79kJkPkd09nzcKIiGj3xAQEEdEeRIIzCRQyv8GUoEACTZcEBxLMSbLC1d0khZQvZUlb78zg2g24OwZNrh/96Ef6MbM/BNleypHy3IDFHa5wZ/BFz1VkjhjikjLkGrs1BqQ2gtyrjjUQpOyu+o3ojFw7CRLlnmcek5t0kEc3gO84ooEEtF8kOJRjlm0z+wlwa1p0PHYJxrf2zXkm972SeV3kvORauUGz1IiQ/Wcmh2QdOd/OAuNscO9x5vnKMchxuX17dLWO3Cu5Z3LvZOrsfeb2j+LaXtfX5TafcPsI2RZdvd/k3N2EhXCXd+xLhoiIdl9MQBAR7WEkoMn8BjOzCr5LvsmUgE4CNpk6Jim2RMqTAFACWnd7CUZkX+630x25xyT7dbeR7aWczo5vZ/FFztUl60jCIfN85Rq7Qal7TaTJjLuOTBLAbWszAilTkgGZ/SJIQCv32A00M7+9diephbG16595Du4kx9zZNZB5InNdSXBsSy0LuS5y3BLMumXIecl1cc9FHmUdOcfMdeQauNe3K3L/3G06TtuavOh4vu5xZh5DZ+t0PE65B7Jd5vtMzq+j7XF9M8n78YvUwunq/dbxvNzkhnvfiIho92eoD6ttb0hKRES7Ffdb012tfTwRZY/UuJCkhyQOtpZQ+yIkMSEJPCYgiIj2HKwBQUS0B3GbB2Rym1d0rH5PRHs2qW0iNS+y8btBmtBIcoPJByKiPQtrQBAR7WEkCSHVzDPxW0giIiIiyjYmIIiIiIiIiIgo69gEg4iIiIiIiIiyjgkIIiIiIiIiIso6JiCIiIiIiIiIKOuYgCAiIiIiIiKirGMCgoiIiIiIiIiyjgkIIiIiIiIiIso6JiCIiIiIiIiIKOuYgCAiIiIiIiKirGMCgoiIiIiIiIiyjgkIIiIiIiIiIso6JiCIiIiIiIiIKOuYgCAiIiIiIiKirGMCgoiIiIiIiIiyjgkIIiIiIiIiIso6JiCIiIiIiIiIKOuYgCAiIiIiIiKirGMCgoiIiIiIiIiyjgkIIiIiIiIiIso6JiCIiIiIiIiIKOuYgCAiIiIiIiKirGMCgoiIiIiIiIiyjgkIIiIiIiIiIso6JiCIiIiIiIiIKOuYgCAiIiIiIiKirGMCgoiIiIiIiIiyjgkIIiIiIiIiIso6JiCIiIiIiIiIKOuYgCAiIiIiIiKirGMCgoiIiIiIiIiyjgkIIiIiIiIiIso6JiCIiIiIiIiIKOuYgCAiIiIiIiKirGMCgoiIiIiIiIiyjgkIIiIiIiIiIso6JiCIiIiIiIiIKOuYgCAiIiIiIiKirGMCgoiIiIiIiIiyjgkIIiIiIiIiIso6JiCIiIiIiIiIKOuYgCAiIiIiIiKirGMCgoiIiIiIiIiyjgkIIiIiIiIiIso6JiCIiIiIiIiIKOuYgCAiIiIiIiKirGMCgoiIiIiIiIiyjgkIIiIiIiIiIso6JiCIiIiIiIiIKOuYgCAiIiIiIiKirGMCgoiIiIiIiIiyjgkIIiIiIiIiIso6JiCIiIiIiIiIKOuYgCAiIiIiIiKirGMCgoiIiIiIiIiyjgkIIiIiIiIiIso6JiCIiIiIiIiIKOuYgCAiIiIiIiKiLAP+H57yxlmcuK/2AAAAAElFTkSuQmCC"}}},{"cell_type":"markdown","source":"##### TSMixer","metadata":{}},{"cell_type":"markdown","source":"Last but not least, a recent paper from Google (47) argues that \"data-dependent\" functions, such as the gates in LSTM and attention layers in transformers, could lead to overfitting when target variable is not correlated with covariates and are not good in extracting temporal patterns. On the other hand, \"time-dependent\" models such as linear models are highly affective in modeling temporal patterns. Thus, the authors suggest applying MLPs in the time-domain and the feature-domain in an alternating manner, so that the time-dimension MLPs are shared across all of the features, while the feature-dimension MLPs are shared across all of the time steps. As Figure 10 illustrates, TSMixer consists of Time-mixing MLP, Feature-mixing MLP, Temporal Projection and Residual Connections. Time-mixing MLP models temporal patterns along the time-dimension. Transposed input is fed into MLP before being transposed back for further processing. Subsequently, the output is fed into Feature-mixing MLP to extract covariate information. Residual connection is also applied between time-mixing and feature-mixing steps to enable the learning of deeper architectures without any unnecessary time-mixing or feature-mixing operations. In the temporal projection step, the output of feature-mixing is transposed again and fed into another fully connected layer to learn temporal patterns, and the orignal input length m is mapped to the target output length n. TSMixer's performance is comparable to specialized state-of-the-art models and superior on the challenging M5 benchmark (a real-world retail dataset) compared to state-of-the-art alternatives.<br/><br/> \n\nThe fact that transformer-based models are not deployed in the winning strategies in finance, sports and recommendation data competitions could be explained by the idea behind this paper, which is \"data-dependent\" functions are not good in extracting temporal patterns.","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:image.png)","metadata":{},"attachments":{"image.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"### Section 8. Conclusion","metadata":{}},{"cell_type":"markdown","source":"While tabular and time series data is a more traditional form of data, we have seen how state-of-the-art language and computer vision models are applied to such data in the fields of healthcare, natural science and recommendation systems. We also have seen very innovative feature engineering techniques being applied in recent competitions and various state-of-the-art machine learning models. In addition, we explored the reasons why sophisticated transformer-based models have not been applied in winning strategies in finance, sport or recommendation system data competitions. As we continue to learn what machine learning can benefit us as human beings, Kaggle stays as a platform fostering collaboration and knowledge transfer between different scientific fields and helping us stay up-to-date with the new developments in various areas. We all have learned so much from each other, and we hope that Kaggle will continue to enable efficient information transfer and help us learn about innovative applications of modern techniques applied to upcoming diverse and exciting challenges we will face.","metadata":{}},{"cell_type":"markdown","source":"### References","metadata":{}},{"cell_type":"markdown","source":"[1]. NYANP, \"Optiver Realized Volatility Prediction\" - 1st Place Solution Nearest Neighbors, 11.1.2022 https://www.kaggle.com/c/27233/discussion/274970<br/>\n<br/>\n[2]. NATHANIEL MADDUX, \"G-Research Crypto Forecasting\" - 2nd Place Solution, 2022 https://www.kaggle.com/c/30894/discussion/323098 <br/>\n<br/>\n[3]. SUGGHI \"G-Research Crypto Forecasting\" - 3rd Place Solution, 2022 https://www.kaggle.com/c/30894/discussion/323703 <br/> \n<br/>\n[4]. YUUNIEE \"Ubiquant Market Prediction\" - [1st Place Solution] - Our Betting Strategy 2022 https://www.kaggle.com/c/32053/discussion/338220 <br/>\n<br/>\n[5]. FLATY \"JPX Tokyo Stock Exchange Prediction\" - 4th Place Solution 10.2022 https://www.kaggle.com/c/34349/discussion/359151 <br/>\n<br/>\n[6]. DAISHU \"American Express - Default Prediction\" - 1st solution(update github code) 2022 https://www.kaggle.com/c/35332/discussion/348111 <br/>\n<br/>\n[7]. KONSTANTIN YAKOVLEV \"American Express - Default Prediction\" - 2nd place solution - team JuneHomes (writeup), 2022 https://www.kaggle.com/c/35332/discussion/347637 <br/>\n<br/>\n[8]. PH0921 \"MLB Player Digital Engagement Forecasting\" - 1st place solution, 2021 https://www.kaggle.com/c/27783/discussion/274255 <br/>\n[9]. KOKI ANDO \"March Machine Learning Mania 2022 - Women's\" - 1st place solution/approach, 2022 https://www.kaggle.com/c/34542/discussion/317817 <br/>\n<br/>\n[10]. RUSTYB \"March Machine Learning Mania 2023\" - 1st Place Submission - Another victory for raddars code, 4.2023 https://www.kaggle.com/c/46801/discussion/399553 <br/>\n<br/>\n[11]. GILLES VANDEWIELE \"Google Brain - Ventilator Pressure Prediction\" - [#1 Solution] The code, 2021 https://www.kaggle.com/c/29594/discussion/285965 <br/>\n<br/>\n[12]. AMBROSM \"Google Brain - Ventilator Pressure Prediction\" #2 Solution: The inverse of a PID controller, 2021 https://www.kaggle.com/c/29594/discussion/285283 <br/>\n<br/>\n[13]. DOTT \"AMP®-Parkinson's Disease Progression Prediction\" - 1st Place Solution 5.2023 https://www.kaggle.com/c/37794/discussion/411505 <br/>\n<br/>\n[14]. BAURZHAN URAZALINOV \"Parkinson's Freezing of Gait Prediction\" - 1st place solution: transformer and acceleration data, 6.2023 https://www.kaggle.com/c/41880/discussion/416026 <br/>\n<br/>\n[15]. SELIM SEFERBEKOV \"G2Net Gravitational Wave Detection\" - Top 1 solution: Deep Learning part, 2021 https://www.kaggle.com/c/23249/discussion/275476 <br/>\n<br/>\n[16]. DENIS KANONIK \"G2Net Gravitational Wave Detection\" Top 1 solution: DSP part, 2021 https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275507 <br/>\n<br/>\n[17]. SHUJI SUZUKI \"Open Problems - Multimodal Single-Cell Integration\" - 1st Place Solution Summary 11.2022 https://www.kaggle.com/c/38128/discussion/366961 <br/>\n<br/>\n[18]. EGGPLANCK \"Novozymes Enzyme Stability Prediction\" - 1st place solution - Protein as a Graph 1.2023 https://www.kaggle.com/c/37190/discussion/376371 <br/>\n<br/>\n[19]. JUN KODA \"G2Net Detecting Continuous Gravitational Waves\" - 1st place solution: Summing the power with GPU, 1.2023 https://www.kaggle.com/c/37077/discussion/375910 <br/>\n<br/>\n[20]. TITO \"IceCube - Neutrinos in Deep Ice\" - 1st Place Solution, 4.2023 https://www.kaggle.com/c/38257/discussion/402976 <br/>\n<br/>\n[21]. TARO \"Google Smartphone Decimeter Challenge 2022\" - 1st Place Solution, 2022 https://www.kaggle.com/c/35779/discussion/341111<br/>\n<br/>\n[22]. MRKMAKR \"OTTO – Multi-Objective Recommender System\" - 1st place solution, 2.2023 https://www.kaggle.com/c/38760/discussion/384022<br/>\n<br/>\n[23]. HOYSO48 \"Google - Isolated Sign Language Recognition\" - 1st place solution - 1DCNN combined with Transformer, 5.2023 https://www.kaggle.com/c/46105/discussion/406684 <br/>\n<br/>\n[24]. TAKOI \"Foursquare - Location Matching\" - 1st place solution, 2022 https://www.kaggle.com/c/35476/discussion/336055 <br/>\n<br/>\n[25]. AHMET ERDEM \"Learning Equality - Curriculum Recommendations\" - 1st Place Solution, 3.2023 https://www.kaggle.com/c/39585/discussion/394812 <br/>\n<br/>\n[26]. S. Arik, T. Pfister \"TabNet: Attentive Interpretable Tabular Learning\" 20.Aug.2019 https://arxiv.org/abs/1908.07442<br/>\n<br/>\n[27]. J. Alammar \"Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention)\", 25.5.2018 https://jalammar.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/<br/>\n<br/>\n[28]. J. Alammar \"The Illustrated Transformer\", 27.6.2018 http://jalammar.github.io/illustrated-transformer/<br/>\n<br/>\n[29]. ESM https://huggingface.co/docs/transformers/model_doc/esm<br/>\n<br/>\n[30]. K. Xu, W. Hu, J. Leskovec, S. Jegelka \"How Powerful are Graph Neural Networks?\", 22.2.2019 https://arxiv.org/abs/1810.00826v3 <br/>\n<br/>\n[31]. Y. Wang, Y. Sun, Z. Liu, S. Sarma, M. Bronstein, J. Solomon \"Dynamic Graph CNN for Learning on Point Clouds\", 11.6.2019 https://arxiv.org/abs/1801.07829<br/>\n<br/>\n[32]. S. Kumar, Y. Tsvetkov \"Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs\", 22.3.2019 https://arxiv.org/abs/1812.04616<br/>\n<br/>\n\n[33]. J. Devlin, M. Chang, K. Lee, K. Toutanova \"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding\", 5.24.2019 https://arxiv.org/abs/1810.04805<br/>\n<br/>\n[34]. bert-base-multilingual-uncased https://huggingface.co/bert-base-multilingual-uncased<br/>\n<br/>\n[35]. N. Reimers, I. Gurevych \"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\", 27.8.2019 https://arxiv.org/abs/1908.10084 paraphrase-multilingual-mpnet-base-v2 https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2<br/>\n<br/>\n[36]. A. Conneau, K. Khandelwal, N. Goyal, V. Chaudhary, G. Wenzek, F. Guzmán, E. Grave, M. Ott, L. Zettlemoyer, V. Stoyanov \"Unsupervised Cross-lingual Representation Learning at Scale\", 8.4.2020 https://arxiv.org/abs/1911.02116 xlm-roberta-large https://huggingface.co/xlm-roberta-large<br/>\n<br/>\n[37]. GTSAM (Georgia Tech Smoothing and Mapping Library) https://github.com/borglab/gtsam<br/>\n<br/>\n[38]. P. He, J. Gao, W. Chen \"DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing\", 24.3.2023 https://arxiv.org/abs/2111.09543 deberta-v3-base https://huggingface.co/microsoft/deberta-v3-base<br/>\n<br/>\n[39]. P. He, X. Liu, J. Gao, W. Chen \"DeBERTa: Decoding-enhanced BERT with Disentangled Attention\", 6.10.2021 https://arxiv.org/abs/2006.03654<br/>\n<br/>\n[40]. Q. Wen, T. Zhou, C. Zhang, W. Chen, Z. Ma, J. Yan, L. Sun \"Transformers in Time Series: A Survey\", 11.5.2023 https://arxiv.org/abs/2202.07125<br/>\n<br/>\n[41]. B. Lim, S. Arik, N. Loeff, T. Pfister \"Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting\", International Journal of Forecasting, 37(4):1748–1764, 2021 <br/>\n<br/>\n[42]. B. Tang and D. Matteson \"Probabilistic\ntransformer for time series analysis\" In NeurIPS, 2021.<br/>\n<br/>\n[43]. Y. Lin, I. Koprinska, and M. Rana\n\"SSDNet: State space decomposition neural network for time series\nforecasting\" In ICDM, 2021.<br/>\n<br/>\n[44]. Y. Liang, Yu. Xia, S. Ke, Y. Wang, Q. Wen, J. Zhang, Y. Zheng, R. Zimmermann \"AirFormer: Predicting Nationwide Air Quality in China with Transformers\", 29.11.2022 https://arxiv.org/abs/2211.15979 <br/>\n<br/>\n[45]. A. Das, W. Kong, A. Leach, S. Mathur, R. Sen, R. Yu \"Long-term Forecasting with TiDE: Time-series Dense Encoder\", 27.4.2023 https://arxiv.org/abs/2304.08424 <br/>\n<br/>\n[46]. R. Wang, Y. Dong, S. Arik, R. Yu \"Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts\",  28.2.2023 https://arxiv.org/abs/2210.03675<br/>\n<br/>\n[47]. S. Chen, C. Li, N. Yoder, S. Arik, T. Pfister \"TSMixer: An all-MLP Architecture for Time Series Forecasting\", 22.6.2023 https://arxiv.org/abs/2303.06053<br/>\n<br/>\n[48]. H. Wu, J. Xu, J. Wang, M. Long \"Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting\", 7.1.2022 https://arxiv.org/abs/2106.13008 <br/>\n<br/>\n[49]. S. Makridakis, E. Spiliotis, V. Assimakopoulos, Z. Chen, A. Gaba, I. Tsetlin, R. Winkler \"The M5 uncertainty competition: Results, findings and conclusions\", International Journal of Forecasting, 38(4): 1365-1385, 2022 <br/>\n<br/>","metadata":{}},{"cell_type":"markdown","source":"### Acknowledgement","metadata":{}},{"cell_type":"markdown","source":"First of all, we would like to thank Kaggle for hosting this competition. Kaggle gave us a bit extra motivation to go through all the competitions in the past two years and figure out what the outperformers have been doing to succeed in various competitions. It is also very fascinating to learn about the state-of-the-art models by reading all these newly published papers. In addition, Kaggle asked us to comment on other participants' reports and we really appreciate that, because we have learned so much from other reports, such as those of ORERE ISRAEL and MILES. Finally, we really appreciate the comments from Bharat SHARMA1998 and Soham Jangra. Kaggle is a place for us all to collaborate and learn from each other. We definitely have learned a lot from other participants. This competition has been a great experience for us. So thank you!","metadata":{}}]}