Vigilância Epidemiológica, é a forma através do qual o SUS busca produzir impacto em termos de controle, eliminação e até erradicação de um conjunto definido de doenças imunopreveníveis. O PNI tem conseguindo bons resultados em termos de cobertura vacinais e controle de importantes doenças, embora ainda com importantes desigualdades regionais e locais. Este estudo busca conhecer os fatores que determinam a efetividade deste programa no município de São Paulo a partir de uma análise mutinível. MÉTODO: Em 2002 o Depto. de Medicina Social da FCMSCSP realizou o Inquérito de Cobertura Vacinal no primeiro ano de vida para a coorte de nascidos entre 1º de novembro de 1999 e 31 de outubro de 2000 residentes no município de São Paulo. Este inquérito domiciliar se baseou no processo de amostragem por conglomerado preconizado pela OPAS. Em cada um dos 41 Distritos de Saúde (DS) foi calculada uma amostra de 210 crianças, num total de 8610 crianças. A importância de variáveis grupais e individuais em relação a cobertura vacinal para esquema completo em crianças com um ano de idade e a participação no Dia Nacional de Vacinação (25/08/2001) foi investigada através de um modelo multinível logístico. Foram estabelecidos nesta análise três níveis: individual, conglomerado, compostos pelos setores censitários e decorrentes do processo de análise e o DS. O modelo multinível foi construído através do software MLWin 2.0. RESULTADOS: O modelo multinível para cobertura com esquema completo em crianças com um ano de idade evidenciou um efeito do DS de 0,15 com um p <0,01; um efeito do conglomerado de 0,07 e p=0,051.A inclusão das variáveis individuais quase não alterou os efeitos aleatórios dos dois níveis. No modelo final as seguintes variáveis mostraram-se associadas ao desfecho: uso de serviço privado OR de 0,64 (IC95%0,50-0,82), pessoas por cômodo um OR de 0,93 (IC95%;0,88-0,98), mãe trabalhar fora e escolaridade da mãe estiveram associadas ao desfecho e apresentaram uma interação.Os dados sugerem uma tendência de aumento da cobertura vacinal conforme aumenta a escolaridade da mãe até a categoria de 9 a 11 anos, voltando a ser menor em crianças com mães um nível de estudo maior. Em relação a participação em campanha de vacinação, o nível do DS apresentou um efeito de 0,32, e nível do conglomerado de 0,18 (p<0,001). Em relação as variáveis individuais, uso de serviço privado para vacinar apresentou um OR de 0,26 (IC95%: 0,21-0,36), mãe trabalha fora de casa um OR de 0,82 (IC95%:0,73-0,92) A escolaridade da mãe, usando a faixa de 9 a 11 anos de escolaridade da mãe por referência, apresentou até a terceira série OR de 0,97 (IC95%: 0,76-1,23), de 4 a 8 anos um OR de 0,86 (IC95%:0,75-0,98) e mais 12 anos de estudo um OR de 0,54 (IC95%:0,44-0,66). A participação em campanha foi maior conglomerados com menor renda média do chefe e no DS com maior proporção de pobres. CONCLUSÕES: Existem diferenças em relação à cobertura vacinal no município de São Paulo que não são totalmente explicadas pelas características individuais e familiares. O DS de moradia destas famílias possui um efeito de contexto sobre a cobertura vacinal. A participação em campanhas de vacinação se revela uma importante estratégia para o acesso dos segmentos menos favorecidos às vacinas. É necessário também aprofundar o conhecimento sobre a cobertura vacinal nos segmentos mais abastados do município / INTRODUCTION: In Brazil, the National Immunization Program (PNI), a branch of the National Surveillance System, is the standard approach of the Brazilian Unified Health System to control, eliminate and even eradicate a set of vaccine-preventable diseases. The PNI has attained good results in terms of vaccine coverage and controlling important diseases, although local and regional inequalities persist. This study aimed to identify which factors were influencing the effectiveness of immunization program in São Paulo City, using multilevel analysis. METHODS: In 2002 the Social Medicine Department of Santa Casa School of Medical Sciences (FCMSC) carried out a vaccine coverage survey, among residents of São Paulo City, addressing the vaccines recommended for the first year of life, among children born between November 1 of 1999 and October 31 of 2000. This household survey was done using the cluster sample technique advocated by the PAHO. In each one of the 41 Health Districts (DS) a sample of 210 infants, in a gross one of 8610, was obtained. The role of group and individuals variable levels in the vaccine coverage for the complete schedule among infants of one year of age and the participation in the National Vaccination Day (25/08/2001) were investigated through a logistic multilevel model. The analysis was performed including three levels: individual, cluster and health districts (DS). The cluster was based on the census tracts, defined by the sampling procedures. The multilevel model was performed using MLWin 2.0. software. RESULTS: The multilevel model for complete coverage with the recommended vaccines for the age group (children aged up to one year), identified at the health district (DS) an effect of 0,15 (p-value <0,01) and at the cluster level an effect of 0,07 (p=0,051). Adding individual level variables did not change the random effects of the two other levels. The final model included the following variables associated to the outcome: use of private service , (OR= 0,64, 95%CI: 0,50-0,82), number of persons by room (agglomerate), (OR= 0,93, 95%CI: 0,88-0,98). The employment status of the mother and mother\'s level of education, were both associated to the outcome and presented an interaction. Our data suggests the immunization uptake increases as the mother\'s years of education increases up to 9 to 11 years, decreasing among children whose mothers have greater level than 11 years of schooling. Regarding participation in vaccination campaign, at the DS level, the effect was 0,32, and at the cluster level the effect was 0,18 (p<0,001). At the individual level, the following characteristics were associated to the outcome: use of private clinic for vaccination (OR=0,26, 95% CI: 0,21-0,36), a working mother (OR=0,82, 95% CI:0,73-0,92). To examine the effect of mother\'s education, we used 9 to 11 years of education as the reference category. For children whose mothers had up to 3 years of education the OR was 0,97 (95% CI: 0,76-1,23); from 4 to 8 years of education the OR was 0,86 (95% CI:0,75-0,98) and for more than 12 years of study an OR of 0,54 (95% CI:0,44-0,66). The participation in campaign was bigger in clusters with lower head of household income, and bigger proportion of poor population. CONCLUSIONS: There are differences in the immunization uptake in São Paulo City that cannot be fully explained by the family and individual characteristics. The Health District, a geographic area where the household is located, poses a context effect on the vaccine coverage. Vaccine campaigns have an important role in increasing the access to vaccines for the poorest population. It is necessary further studies to a better understanding of the vaccine coverage in the wealthier segments of the town

Enquanto a Administração de Empresas evoluiu muito no último século e trouxe vasto ferramental aos gestores de empresas, o tema da Responsabilidade Social Empresarial (RSE) não acompanhou essa evolução e ainda não dispõe de conceitos sólidos e ferramental de apoio aos gestores. Isso justifica o presente estudo, que objetiva identificar, empiricamente, o comportamento das empresas que operam no Brasil, referente aos seus investimentos em ações de RSE e suas relações com o Desempenho Financeiro (DF), com base na Receita Líquida (RL) e no Resultado Operacional (RO). A partir de uma amostra de 2064 Balanços Sociais padrão IBASE (BS) de 378 empresas, no período entre 1996 e 2010, o estudo buscou resposta a oito perguntas de pesquisa e encontrou comportamentos estatisticamente significativos em todas elas. Os resultados indicam que existe relacionamento direto entre a RL e os investimentos em RSE. Existe também um relacionamento direto entre o RO-Positivo e os investimentos em RSE. Nos casos em que o RO é negativo, o relacionamento com os investimentos em RSE está associado ao valor absoluto do RO-Negativo, o que pode ser uma relação dependente da RL ou do porte da empresa. O setor de atuação das empresas é um fator que segmenta comportamentos característicos das empresas e nem todas as turbulências conjunturais nacionais e internacionais impactam e influenciam as decisões de investimentos em RSE e o DF das empresas de forma semelhante. Os modelos matemáticos que relacionam a RL com os investimentos em RSE têm melhor capacidade explicativa que os modelos correspondentes que relacionam o RO a esses mesmos investimentos, sendo que o setor de atuação é um diferenciador significativo. Não foram encontradas diferenças significativas na qualidade explicativa dos modelos matemáticos que consideraram o DF do ano-base e do ano anterior em relação às decisões de investimentos em RSE e, mais, a composição do portfólio de investimento em RSE varia em função do setor e do ano de publicação dos BSs. / While Business Management was much developed during the last hundred years and accumulated a lot of management tools to managers of companies, the theme of Corporate Social Responsibility (CSR) has only received tangential attention and does not yet have solid concepts and tools to support managers. This lack of similar evolution justifies the present study, which aims to identify, empirically, the behavior of companies operating in Brazil, related to their investments in activities of CSR and its relations with Financial Performance (FP), based on Net Income (NI) and Operational Results (OR). From a sample of 2064 IBASE Social Accounting Balances (SAB) of 378 companies between 1996 and 2010, the study sought to answer eight research questions and found statistically significant behavior in all of them. The results indicate that there is direct relationship between the NI and investments in CSR. There is also a direct relationship between the ORPositive and investments in CSR. When OR is negative, the relationship between CSR investment is associated with the absolute value of OR-negative, which may be a dependent relationship of NI or size of the company. The business sector is a factor that segments the characteristic behaviors of companies, and not all national and international economic turmoil impact and influence investment decisions in CSR and FP of firms with the same magnitude. The mathematical models that relate the NI with investments in CSR have better explanatory power than models that relate the OR corresponding to such investments, and the sector of activity is a significant differentiator. There were no significant differences in the explanatory quality of mathematical models that considered the FP for the base year and the year before, in relation to decisions on investments in CSR,, and the composition of the investment in CSR portfolio varies by sector and year of publication of SABs.

This master thesis report presents the development and results of a dashboard developed for Sanoma Utbildning. The learning platform, called SUD - Sanoma Utbildnig Digital, is a combination of exercises and reading material used by both students and teachers. The purpose of the application is to provide Sanoma Utbildning with valuable insights of the activity in SUD and was developed using agile methods. The dashboard should be easy to understand for both employees at Sanoma Utbildning and possible customers. The user interface has been developed with help from theory and by conducting three user evaluations. The data is collected from logs produced by SUD and sent with webhooks to the dashboard. The result is a web based MEAN-stack application visualizing real time data and statistical data of the events in the learning platform.

Business analytics refers to the skills, technologies, applications and practisies for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. Business intelligence traditionally focuses on using a consistent set of metrics to both measure past performance and guide business planning, which is also based on data and statistical methods. Analytics makes extensive use of data, statistical or quantitative analyses, explanatory and predictive modeling, and fact based management to drive decision, making. Analytics may be used as input for human decisions or may drive fully automated decisions. In other words, querying, reporting, OLAP, and alert tools can answer questions such as what happened, how many, how often, where the problem is, and what actions are needed. Business analytics can answer questions like why is this happening, what if these trends continue, what will happen next, what is the best that can happen (optimize). Example of application analytics in different areas: banks use data analyses to differentiate among customers based on credit risk, usage of other characteristics with appropriate product offering. Harrah's company (from 2010 renamed and called Caesers entertaiment. Gaming corporation that owns and operate over 50 casinos, hotels, and seven golf courses under several brands), uses analytics for customer loyalty programs. Deere & Company (manufacturer of agricultural machinery like tractors, combine harvesters, sprayers and other) saved more than $1 billion by employing and implementing a new analytical tool to better optimize inventory. We can mention areas where within analytics are basic domain model: sales/retail business, financial services, risk & credit, marketing, fraud, pricing, telecommunications, supply chain, transportation and many others.

The diploma thesis is focused on using of statistical data analysis as the effective tool for evaluation of characteristics and efficiency of the company, especially economic indicators. The goal will be to analyze the data by these means, to compare them and to make the conclusions and suggestions for improvement. From the knowledge of historical data and forecasting preconditions for the future the company will gain clearer image about its development and future direction.

The master’s thesis deals with the usage of statistical analysis in the evaluation of the financial situation of the chosen company. The author focuses on the analysis of economic indocators, that are used in business practice for the assessment of the company financial situation. Summarized economic data are analyzed by financial and statistical analysis. The data comparism results to recommendations that may be impemented for company improvement. On the basis of historical data and trends prognosis the company gets specific picture about future situation and the effects on the market.

<p dir="ltr">Generating images from training samples solves the challenge of imbalanced data. It provides the necessary data to run machine learning algorithms for image classification, anomaly detection, and pattern recognition tasks. In medical settings, having imbalanced data results in higher false negatives due to a lack of positive samples. Generative Adversarial Networks (GANs) have been widely adopted for image generation. GANs allow models to train without computing intractable probability while producing high-quality images. However, evaluating GANs has been challenging for the researchers due to a need for an objective function. Most studies assess the quality of generated images and the variety of classes those images cover. Overfitting of training images, however, has received less attention from researchers. When the generated images are mere copies of the training data, GAN models will overfit and will not generalize well. This study examines the ability to detect overfitting of popular metrics: Maximum Mean Discrepancy (MMD) and Fréchet Inception Distance (FID). We investigate the metrics on two types of data: handwritten digits and chest x-ray images using Analysis of Variance (ANOVA) models.</p>

<p dir="ltr">Reinforcement learning (RL) has been a rapidly evolving field of research over the past years, enhancing developments in areas such as artificial intelligence, healthcare, and education, to name a few. Regardless of the success of RL, its inherent online learning nature presents obstacles for its real-world applications, since in many settings, online data collection with the latest learned policy can be expensive and/or dangerous (such as robotics, healthcare, and autonomous driving). This challenge has catalyzed research into offline RL, which involves reinforcement learning from previously collected static datasets, without the need for further online data collection. However, most existing offline RL methods depend on two key assumptions: unconfoundedness and positivity (also known as the full-coverage assumption), which frequently do not hold in the context of static datasets. </p><p dir="ltr">In the first part of this dissertation, we simultaneously address these two challenges by proposing a novel policy learning algorithm: PESsimistic CAusal Learning (PESCAL). We utilize the mediator variable based on Front-Door Criterion, to remove the confounding bias. Additionally, we adopt the pessimistic principle to tackle the distributional shift problem induced by the under-coverage issue. This issue refers to the mismatch of distributions between the action distributions induced by candidate policies, and the policy that generates the observational data (known as the behavior policy). Our key observation is that, by incorporating auxiliary variables that mediate the effect of actions on system dynamics, it is sufficient to learn a lower bound of the mediator distribution function, instead of the Q-function, to partially mitigate the issue of distributional shift. This insight significantly simplifies our algorithm, by circumventing the challenging task of sequential uncertainty quantification for the estimated Q-function. Moreover, we provide theoretical guarantees for the algorithms we propose, and demonstrate their efficacy through simulations, as well as real-world experiments utilizing offline datasets from a leading ride-hailing platform.</p><p dir="ltr">In the second part of this dissertation, in contrast to the first part, which approaches the distributional shift issue implicitly by penalizing the value function as a whole, we explicitly constrain the learned policy to not deviate significantly from the behavior policy, while still enabling flexible adjustment of the degree of constraints. Building upon the offline reinforcement learning algorithm, TD3+BC \cite{fujimoto2021minimalist}, we propose a model-free actor-critic algorithm with an adjustable behavior cloning (BC) term. We employ an ensemble of networks to quantify the uncertainty of the estimated value function, thus addressing the issue of overestimation. Moreover, we introduce a method that is both convenient and intuitively simple for controlling the degree of BC, through a Bernoulli random variable based on the user-specified confidence level for different offline datasets. Our proposed algorithm, named Ensemble-based Actor Critic with Adaptive Behavior Cloning (EABC), is straightforward to implement, exhibits low variance, and achieves strong performance across all D4RL benchmarks.</p>

The objective of this thesis is to analyse determinants of subjective well-being in Czechia and to compare them with other empirical evidence from Czechia and abroad. Main theoretical approaches include those emphasising "psychological" factors and those emphasising factors outside of the human personality. Data from the Public Opinion Research Centre of more than 2,000 respondents from Czechia of years 2013 and 2014 were analysed statistically. Measures of so-called global and local subjective well-being were dependent variables. Independent variables include "geographical" and demographic variables and other dummies. It was confirmed that people living in more populated buildings, with a lower space mobility, older, of a lower employment status or unemployed, lower education and left-wing oriented declare usually a lower results on the subjective well-being, too. Gender and income had variable effect on the subjective well-being. Theoretical assumptions were not confirmed considering the settlement size, mode of commuting and religion.

Submitted by William Justo Figueiro (williamjf) on 2015-06-27T12:35:42Z No. of bitstreams: 1 45.pdf: 1909890 bytes, checksum: a826b23d33eab50cce7d62b7876d703e (MD5) / Made available in DSpace on 2015-06-27T12:35:43Z (GMT). No. of bitstreams: 1 45.pdf: 1909890 bytes, checksum: a826b23d33eab50cce7d62b7876d703e (MD5) Previous issue date: 2014 / Nenhuma / O objetivo principal deste estudo foi identificar associações entre os pacotes de remuneração dos agentes das empresas brasileiras listadas no Novo Mercado com os seus indicadores de desempenho financeiro. Em segundo lugar, buscou-se verificar o cumprimento de normativo que prevê a divulgação das informações relativas à remuneração desses agentes, bem como mapear a composição de tais remunerações. A governança corporativa e a teoria da agência são usadas para desenvolver o arcabouço teórico que sustenta o estudo. A pesquisa baseia-se nos dados de 100% das empresas listadas no segmento de Novo Mercado no período de 2008 a 2012. Os dados são estudados por meio de métodos estatísticos, em particular análises descritivas e de correlação. Contrariamente às expectativas, o estudo conclui que há poucas correlações estatisticamente significativas entre as remunerações dos agentes das empresas brasileiras do Novo Mercado e seus indicadores de desempenho financeiro. Ademais, observa-se uma melhora na transparência de informações pelo cumprimento da exigência de informar a composição das remunerações dos agentes. Este estudo contribui para a literatura de gestão, sobretudo a literatura que discute a remuneração como ferramenta para mitigar os problemas de agência no Brasil. / The main objective of this study was to identify correlations between the remuneration packages of agents in Brazilian public entities listed in the “Novo Mercado” with their financial performance indicators. Secondly, it aimed to evaluate the compliance with technical standard of the disclosure of information related to the remuneration of such agents as well to map the components of this remuneration. Corporate governance and Theory of Agency were used to develop the theoretical background that supports this study. The research is based on the data from 100% of entities listed in the New Market from 2008 to 2012. Data is analyzed through a variety of statistical methodologies, in particular, descriptive analyses and correlation. Against the expectations, the study concluded that there are few correlations statistically meaningful between the remuneration of the agents of the Brazilian entities in the Novo Mercado and their financial performance indicators. In addition, an improvement in the clarity of information due to the requirements of disclosing the components of agent's remuneration is noted. This study contributes to the literature in Management, in particular, to the literature that discuss remuneration as a tool to mitigate the problems of Theory of Agency in Brazil.