Uma análise de desempenho dos fundos multimercado com renda variável e com alavancagem no Brasil durante o período entre 2002-2007

TCC (graduação) - Universidade Federal de Santa Catarina. Centro Sócio-Econômico. Economia.Este trabalho parte de uma revisão bibliográfica dos autores mais importantes e dissertações sobre os fundos de investimento, analisando o desempenho dos Fundos Multimercado com renda variável e com alavancagem no período de 2002 a 2007, foi elaborada uma análise dividida em duas janelas temporais com condições distintas de mercado, a volatilidade dos anos de 2002 e 2003 e o mercado otimista do período entre 2004 e 2007. A modalidade foi escolhida por ser a que mais se aproxima das características dos tradicionais Hedge funds americanos. A amostra, após a exclusão de fundos exclusivos, e divisão dos fundos entre de investimento tradicional para o de investimento em cotas de outros fundos, com intuito comparativo, consistiu em 128 fundos. A análise de desempenho ajustado ao risco com o índice Sharpe que indicou um desempenho superior para os fundos de investimentos em cotas nas duas janelas analisadas e no período total, nos resultados anuais os fundos de cotas foram superiores em quatro dos seis anos pesquisados, não foram evidenciados influência do PL em relação aos resultados de rentabilidade e do próprio indicador, além disto uma caracterização do mercado nacional e americano de Hedge Funds, foram elaborados

As possibilidades jurídicas de responsabilidade civil do magistrado em caso de erro judicial

Trabalho de Conclusão de Curso, apresentado para obtenção do grau de Bacharel no curso de Direito da Universidade do Extremo Sul Catarinense, UNESC.O presente trabalho monográfico consiste no estudo acerca das possibilidades jurídicas de responsabilidade civil do magistrado em caso de erro judicial. De início, estudar-se-á a responsabilidade civil em seu contexto geral. Em um segundo momento observar-se-á atividade jurisdicional brasileira, sob a ótica da Lei Orgânica da Magistratura e dos princípios norteadores do exercício jurisdicional. Ao final, estudar-se-á a (im)possibilidade de responsabilização do Estado e/ou dos magistrados por erros decorrentes no exercício da atividade jurisdicional, bem como as possibilidades jurídicas disponíveis ao Erário para reaver os valores despendidos em possível reparação civil, sob a ótica dos institutos da ação regressiva e/ou da denunciação à lide. O método de pesquisa utilizado será o dedutivo, em pesquisa teórica e qualitativa com emprego de material bibliográfico e documental legal

Acid-sensing ion channels 1a (ASIC1a) inhibit neuromuscular transmission in female mice

Acid-sensing ion channels (ASIC) open in response to extracellular acidosis. ASIC1a, a particular subtype of these channels, has been described to have a postsynaptic distribution in the brain, being involved not only in ischemia and epilepsy, but also in fear and psychiatric pathologies. High-frequency stimulation of skeletal motor nerve terminals (MNTs) can induce presynaptic pH changes in combination with an acidification of the synaptic cleft, known to contribute to muscle fatigue. Here, we studied the role of ASIC1a channels on neuromuscular transmission. We combined a behavioral wire hanging test with electrophysiology, pharmacological, and immunofluorescence techniques to compare wild-type and ASIC1a lacking mice (ASIC1a −/− knockout). Our results showed that 1) ASIC1a −/− female mice were weaker than wild type, presenting shorter times during the wire hanging test; 2) spontaneous neurotransmitter release was reduced by ASIC1a activation, suggesting a presynaptic location of these channels at individual MNTs; 3) ASIC1a-mediated effects were emulated by extracellular local application of acid saline solutions (pH = 6.0; HEPES/MES-based solution); and 4) immunofluorescence techniques revealed the presence of ASIC1a antigens on MNTs. These results suggest that ASIC1a channels might be involved in controlling neuromuscular transmission, muscle contraction and fatigue in female mice.Fil: Urbano Suarez, Francisco Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; ArgentinaFil: Lino, Noelia Gisele. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; ArgentinaFil: González Inchauspe, Carlota María Fabiola. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; ArgentinaFil: Gonzalez, Laura Elisabeth. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; ArgentinaFil: Colettis, Natalia Claudia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; ArgentinaFil: Vattino, Lucas Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; ArgentinaFil: Wunsch, Amanda M.. University of Iowa; Estados UnidosFil: Wemmie, John A.. University of Iowa; Estados UnidosFil: Uchitel, Osvaldo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentin

Methodology for the multichannel recording of upper limb muscle activity

In the study of the functioning of the muscle, the study standard is to be able to analyze its behavior or functioning, this behavior is represented by a continuous signal where the muscle signal can be recorded and visualized, to perform this registration a designed circuit is required. For the capture of electromyography signals, there are many options of these circuits in the market, depending on the application, the part of the body that is required to be analyzed, the best option can be chosen, in this work, we present a methodology for recording in Simultaneous 8 signals, for the characteristic use of the arm muscles, due to its special shape, which allows it to be placed in the form of a bracelet, the signals that are acquired simultaneously and individually, can be used in many applications depending on the problem and challenge, recommending for use on the arm and providing a clean signal allowing Being used in the design of detection mechanisms for some pathologies related to the arm muscles and in the design of control mechanisms for the design of prostheses.Campus Lima Centr

Smart system model for the recruitment of teachers

Times change, for many reasons, due to technological development, new ways of doing things and in some cases forced by a global condition, is the case of the present case, where we analyze the teacher selection processes, although many of the Academic activities are developed at a distance, the selection processes also accompany this model, in this process factors that must be presented according to the profile required by the institution are analyzed, in this work a technique is proposed to be able to classify the best candidates in a Teacher selection process, the methodology consists of analyzing three groups of characteristics that the candidates must present, such as the writing exercises, the group interview and finally a demonstration class, in each of them particular criteria are evaluated, a demonstrative example It is presented as a demonstration, where it can be conditioned according to the criteria of each ins As a result, we have a computational model based on neural networks, where the best candidates can be pre-selected or classified in a teacher selection process, the prototype can be scaled and used in different sectors.Campus At

Methodology for information security, in the process of sending biomedical signals in telemedicine applications for rural areas

With the advancement of information and communication technologies, new ways of being able to transmit information from remote places where they are technologically inaccessible are being presented, these applications related to the health area, gain importance because in areas with little access to technology and much more to mobile technology, it occurs in most of the countries of South America, where due to the conditions of the Andes mountain range, this work makes it very difficult to implement large-scale solutions. But the need for health care cannot be ignored and much more when the population is at risk. This work proposes a methodology to be able to transmit medical information safely and with integrity, and with it biomedical signals, for solutions where telemedicine is applied, the methodology proposes a communication protocol based on the ordering of information based on a priority structure and XML modeling for sending and receiving, the result presented is an easy to implement and scalable protocol depending on the complexity of the information to send and is not linked to a particular telecommunication network, it can be implemented in telephone networks and wireless networks of different architecture.Campus At

Análise epidemiológica autorizações das internações hospitalares por neoplasias na cidade de Maringá – Paraná entre os anos de 2016 a 2021

Objetivo: Analisar os dados epidemiológicos das autorizações das Internações Hospitalares e mortalidade por Neoplasias na cidade de Maringá – Paraná entre os anos de 2016 á 2021. Método: A metodologia utilizada para o estudo será retrospectivo, transversal e descritivo obtido através de dados secundários de internações hospitalares (AIHS) por neoplasias através do Sistema de Informações Hospitalares do SUS (SIH/SUS) no período entre 2016 a 2021. Resultados: De 2016 a dezembro de 2021 o SIH/SUS, registrou um total de 15.704 internações hospitalares por neoplasia na cidade de Maringá – Paraná. Considerações Finais: Com os dados levantados, entre os anos de 2016 e 2021, conclui-se que há uma diferença significativa entre as raças acometidas por neoplasia. Foi possível verificar que a maioria dos doentes era da raça branca, sendo essa a maior diferença entre os dados obtidos. Desta forma, pesquisas adicionais são necessárias para entender melhor como mudar os comportamentos relacionados ao câncer e como a mudança desses comportamentos pode afetar a incidência e a sobrevivência do câncer

Elevated extracellular HSP72 and blunted heat shock response in severe covid-19 patients

Aims: We hypothesized that critically ill patients with SARS-CoV-2 infection and insulin resistance would present a reduced Heat Shock Response (HSR), which is a pathway involved in proteostasis and anti-inflammation, subsequently leading to worse outcomes and higher inflammation. In this work we aimed: (i) to measure the concentration of extracellular HSP72 (eHSP72) in patients with severe COVID-19 and in comparison with noninfected patients; (ii) to compare the HSR between critically ill patients with COVID-19 (with and without diabetes); and (iii) to compare the HSR in these patients with noninfected individuals. Methods: Sixty critically ill adults with acute respiratory failure with SARS-CoV-2, with or without diabetes, were selected. Noninfected subjects were included for comparison (healthy, n = 19 and patients with diabetes, n = 22). Blood samples were collected to measure metabolism (glucose and HbA1c); oxidative stress (lypoperoxidation and carbonyls); cytokine profile (IL-10 and TNF); eHSP72; and the HSR (in vitro). Results: Patients with severe COVID-19 presented higher plasma eHSP72 compared with healthy individuals and noninfected patients with diabetes. Despite the high level of plasma cytokines, no differences were found between critically ill patients with COVID-19 with or without diabetes. Critically ill patients, when compared to noninfected, presented a blunted HSR. Oxidative stress markers followed the same pattern. No differences in the HSR (extracellular/intracellular level) were found between critically ill patients, with or without diabetes. Conclusions: We demonstrated that patients with severe COVID-19 have elevated plasma eHSP72 and that their HSR is blunted, regardless of the presence of diabetes. These results might explain the uncontrolled inflammation and also provide insights on the increased risk in developing type 2 diabetes after SARS-CoV-2 infection

Methodology for the use of machine learning, applied in predicting the level of success in legal cases

ICTs have allowed the applications of artificial intelligence to grow exponentially, where different applications are being presented, based on the application of neural networks as prediction mechanisms for different processes and applications, in the present work the use of the Neural networks for the legal case prediction process, in which the analysis of approximately 200 cases was used between cases that had "positive and negative" final results, the expected results after implementing the solution in the MATLAB tool, they presented us effectiveness results in a value of 93%, as a conclusion we can indicate that the model provided allows us to be applied in other conditions as well as to be scaled, taking into account the historical data that may be available for the training process.Campus At