Illegal hunting cases detected with molecular forensics in Brazil

Background: Illegal hunting is one of the major threats to vertebrate populations in tropical regions. This unsustainable practice has serious consequences not only for the target populations, but also for the dynamics and structure of tropical ecosystems. Generally, in cases of suspected illegal hunting, the only evidence available is pieces of meat, skin or bone. In these cases, species identification can only be reliably determined using molecular technologies. Here, we reported an investigative study of three cases of suspected wildlife poaching in which molecular biology techniques were employed to identify the hunted species from remains of meat.Findings: By applying cytochrome b (cyt-b) and cytochrome oxidase subunit I (COI) molecular markers, the suspected illegal poaching was confirmed by the identification of three wild species, capybara (Hydrochoerus hydrochaeris), Chaco Chachalaca (Ortalis canicollis) and Pampas deer (Ozotoceros bezoarticus). In Brazil, hunting is a criminal offense, and based on this evidence, the defendants were found guilty and punished with fines; they may still be sentenced to prison for a period of 6 to 12 months.Conclusions: The genetic analysis used in this investigative study was suitable to diagnose the species killed and solve these criminal investigations. Molecular forensic techniques can therefore provide an important tool that enables local law enforcement agencies to apprehend illegal poachers. © 2012 Sanches et al.; licensee BioMed Central Ltd.

Prevention of Risky drinking among students at a Brazilian University

Aim: The aim of this paper was to compare the quantity and frequency of alcohol use and its associated negative consequences between two groups of college students who were identified as being risky drinkers. Subjects were randomly allocated in a clinical trial to intervention or control groups. Methods: Risky drinking use was defined as Alcohol Use Disorders Identification Test (AUDIT) >= 8 and/or Rutgers Alcohol Problem Index (RAPI) >= 5 problems in the previous year. Students who had undergone the Brief Alcohol Screening and Intervention for College Students (BASICS) (N = 145 at baseline; 142 at 12 months, and 103 at 24 months, loss of 29.7%) were compared with a control group (N = 121 at baseline; 121 at 12 months and 113 at 24 months, loss of 9.3%), the nonintervention group. Variables included drinking frequency, quantity and peak consumption, dependence assessment, and family and friends' abuse assessment. Results: Treated students at a 24-month follow-up decreased quantity of alcohol use per occasion and lowered AUDIT and RAPI scores. Conclusions: This is the first brief intervention work on risky drinking with college students in Brazil and the results are encouraging. However, it is difficult to conduct individual prevention strategies in a country where culture fosters heavy drinking through poor public policy on alcohol and lack of law enforcement.

Identification of guitarfish species Rhinobatos percellens, R. horkelli, and Zapteryx brevirostris (Chondrichthyes) using mitochondrial genes and RFLP technique

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Automatic segmentation of latent fingerprints

Latent fingerprints are routinely found at crime scenes due to the inadvertent contact of the criminals' finger tips with various objects. As such, they have been used as crucial evidence for identifying and convicting criminals by law enforcement agencies. However, compared to plain and rolled prints, latent fingerprints usually have poor quality of ridge impressions with small fingerprint area, and contain large overlap between the foreground area (friction ridge pattern) and structured or random noise in the background. Accordingly, latent fingerprint segmentation is a difficult problem. In this paper, we propose a latent fingerprint segmentation algorithm whose goal is to separate the fingerprint region (region of interest) from background. Our algorithm utilizes both ridge orientation and frequency features. The orientation tensor is used to obtain the symmetric patterns of fingerprint ridge orientation, and local Fourier analysis method is used to estimate the local ridge frequency of the latent fingerprint. Candidate fingerprint (foreground) regions are obtained for each feature type; an intersection of regions from orientation and frequency features localizes the true latent fingerprint regions. To verify the viability of the proposed segmentation algorithm, we evaluated the segmentation results in two aspects: a comparison with the ground truth foreground and matching performance based on segmented region. © 2012 IEEE.

Da capacitação em toxicologia, psicofarmacologia e legislação na formação inicial de professores de ciências e biologia para a prevenção educacional ao uso abusivo de substâncias psicoativas

Pós-graduação em Educação para a Ciência - FC

Alimentação escolar e agricultura familiar: a viabilidade da aplicação da lei federal 11.947 de 2009 sob o ponto de vista de diferentes atores sociais

Pós-graduação em Geografia - IGCE

Road safety: implications for sustainable development in Latin America

Road accidents cause more deaths than homicides in Latin America, nevertheless it is not highlighted as a major concern by media and society. World Health Organization put this issue in high priority by releasing the Decade of Action in Road Safety that establishes five pillars to guide national road safety plans and activities. This paper addresses the drawbacks in the implementation of these actions in Latin American countries and its implications to achieve a sustainable development. The main concerns are: lack of empowerment of the road safety management organisations; lower vehicular standards; corruption related to the enforcement of traffic safety laws to and to the construction of safer roads; absence of safety vehicular inspections; vehicle fleet increase, decrease of public transportation demand; and the absence of a safety culture. Without facing these problems, sustainable development in Latin America will be impaired, once road safety is a fundamental link to achieve sustainability.

Short and long period optimization of drug doses in the treatment of AIDS

Técnicas de otimização numérica são úteis na solução de problemas de determinação da melhor entrada para sistemas descritos por modelos matemáticos e cujos objetivos podem ser expressos de uma maneira quantitativa. Este trabalho aborda o problema de otimizar as dosagens dos medicamentos no tratamento da AIDS em termos de um balanço entre a resposta terapêutica e os efeitos colaterais. Um modelo matemático para descrever a dinâmica do vírus HIV e células CD4 é utilizado para calcular a dosagem ótima do medicamento no tratamento a curto prazo de pacientes com AIDS por um método de otimização direta utilizando uma função custo do tipo Bolza. Os parâmetros do modelo foram ajustados com dados reais obtidos da literatura. Com o objetivo de simplificar os procedimentos numéricos, a lei de controle foi expressa em termos de uma expansão em séries que, após truncamento, permite obter controles sub-ótimos. Quando os pacientes atingem um estado clínico satisfatório, a técnica do Regulador Linear Quadrático (RLQ) é utilizada para determinar a dosagem permanente de longo período para os medicamentos. As dosagens calculadas utilizando a técnica RLQ , tendem a ser menores do que a equivalente terapia de dose constante em termos do expressivo aumento na contagem das células T+ CD4 e da redução da densidade de vírus livre durante um intervalo fixo de tempo.