An empirical analysis of Brazilian courts law documents using learning techniques

This paper describes a survey on investigating judicial data to find patterns and relations between crime attributes and corresponding decisions made by courts, aiming to find import directions that interpretation of the law might be taking. We have developed an initial methodology and experimentation to look for behaviour patterns to build judicial sentences in the scope of Brazilian criminal courts and achieved results related to important trends in decision making. Neural networks-based techniques were applied for classification and pattern recognition, based on Multi-Layer Perceptron and Radial-basis Functions, associated with data organisation techniques and behavioral modalities extractio

An empirical biometric-based study for user identification from different roles in the online game League of Legends

© 2017 CEUR-WS. All rights reserved. The popularity of computer games has grown exponentially in the last few years. In some games, players can choose to play with different characters from a pre-defined list, exercising distinct roles in each match. Although such games were created to promote competition and promote self-improvement, there are several recurrent issues. One that has received the least amount of attention is the problem of "account sharing" so far is when a player pays more experienced players to progressing in the game. The companies running those games tend to punish this behaviour, but this specific case is hard to identify. The aim of this study is to use a database of mouse and keystroke dynamics biometric data of League of Legends players as a case study to understand the specific characteristics a player will keep (or not) when playing different roles and distinct characters

Smart Rescue Drones to Find Snowslide Victims

In the approach of using autonomous robots to find victims on risk zones, there are specific ones that can reach the victims faster, the Unmanned Autonomous Vehicles (UAVs), better known as Drones. For this to happen, artificial intelligence algorithms were designed to teach them to search for the victims faster. On this paper, a simulation of three drones flying on different environments was made based on a Hidden Markov Models with KNN classifier as an artificial intelligence approach for the learning. The results revealed that for some environments, based on memory to store the paths and the classification of the objects, different hardware settings for the drones can be needed

Obtaining non-Abelian field theories via Faddeev-Jackiw symplectic formalism

In this work we have shown that it is possible to construct non-Abelian field theories employing, in a systematic way, the Faddeev-Jackiw symplectic formalism. This approach follows two steps. In the first step, the original Abelian fields are modified in order to introduce the non-Abelian algebra. After that, the Faddeev-Jackiw method is implemented and the gauge symmetry relative to some non-Abelian symmetry group, is introduced through the zero-mode of the symplectic matrix. We construct the SU(2) and SU(2)xU(1) Yang-Mills theories having as starting point the U(1) Maxwell electromagnetic theory.Comment: 6 pages. Revtex 4.

"Por motivação exclusivamente política": movimento sindical e as dificuldades na busca pela anistia

Anais das IV Jornadas Internacionais de Problemas Latino-Americanos: Lutas, Experiências e Debates na América Latina - ISBN 978-950-793-223-6 - Orgs. Paulo Renato da Silva ; Mario Ayala ; Fabricio Pereira da Silva ; Fernando José MartinsDiscutimos neste artigo as leis sobre anistia política, os preceitos elaborados pelo Estado para a concessão da qualidade de anistiado político e, como estudo de caso, o requerimento de anistia de Geraldo Cândido. Procuramos entender por que esses operários estão enfrentando difi- culdades para obter a anistia e qual estrutura criada em torno das leis e formas de viabilização.PPG – IELA – UNIL

How socio-cultural factors affect cervical cancer screening adherence and treatment in disadvantaged communities in the greater Cape Town, South Africa.

Approximately 85% of the global cervical cancer deaths occur in women living in developing countries. In South Africa, cervical cancer is the second most common cancer amongst women, with Black South African women having the highest risk of developing cervical cancer. Previous research with the same population group found that there are structural (time, health education, age) and psychosocial (fear of screening and stigmatization) influences to cervical screening. The purpose of this research was to identify socio-cultural factors affecting cervical cancer screening adherence within a disadvantaged community in South Africa, a developing country. To identify the social-cultural factors four focus groups consisting of men and women between the ages of 18 and 60 were conducted. A combination of the Health Belief Model (HBM) and Theory of Reasoned Action (TRA) provided a theoretical framework for this study. Thematic analysis was used to identify themes that emerged from the focus groups and participant observation. Through conducting these focus groups, themes emerged which strongly highlighted the role of cultural norms, gender roles, the western medical model and traditional medicine in a woman’s decision to adhere to cervical screening. It was found that factors such as knowledge and stigma, found previously in research, were also shared amongst this sample group. However, spiritual and religious beliefs (traditional healers, religion, and balancing paradigms), gender beliefs, social construction and acceptance of disease were factors which also emerged as exerting influence in a woman’s decision to adhere to cervical screening