Um modelo para a criminalidade no município de São Paulo em 2001

This work aims to estimate an empirical model for three kinds of crime in Sao Paulo city: homicides, robberies and car thefts. It uses as geographical units the areas belonging to each police districts and takes in account spatial effects among the variables. The results show important differences when we deal with crime against people and crime against property.

Rhamnolipids and PHAs: Recent reports on Pseudomonas-derived molecules of increasing industrial interest

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

Multiobjective optimization of economic balances of sugarcane harvest biomass

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

A bio-economic appraisal of pair trawl fisheries off southeastern Brazil

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

A comparative evaluation of open loop and closed loop drug administration strategies in the treatment of AIDS.

In recent years, many researchers in the field of biomedical sciences have made successful use of mathematical models to study, in a quantitative way, a multitude of phenomena such as those found in disease dynamics, control of physiological systems, optimization of drug therapy, economics of the preventive medicine and many other applications. The availability of good dynamic models have been providing means for simulation and design of novel control strategies in the context of biological events. This work concerns a particular model related to HIV infection dynamics which is used to allow a comparative evaluation of schemes for treatment of AIDS patients. The mathematical model adopted in this work was proposed by Nowak & Bangham, 1996 and describes the dynamics of viral concentration in terms of interaction with CD4 cells and the cytotoxic T lymphocytes, which are responsible for the defense of the organism. Two conceptually distinct techniques for drug therapy are analyzed: Open Loop Treatment, where a priori fixed dosage is prescribed and Closed Loop Treatment, where the doses are adjusted according to results obtained by laboratory analysis. Simulation results show that the Closed Loop Scheme can achieve improved quality of the treatment in terms of reduction in the viral load and quantity of administered drugs, but with the inconvenience related to the necessity of frequent and periodic laboratory analysis.

Crime, ordem e violência em São Paulo: a percepção do nível de violência urbana no município de Assis

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

No crime e na medida: uma etnografia do Programa de Medidas Socioeducativas em meio aberto do Salesianos de São Carlos

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Crime, medo e percepções de insegurança

O artigo é produto de três pesquisas de vitimização realizadas em Marília/SP, entre os anos de 2001 e 2008, com o objetivo de conhecer a dinâmica do crime sob a ótica da vítima real (objetiva) e captar os sentimentos de medo do risco “potencial” da população (vítima ou não). O primeiro caso – vítima real – constitui um instrumento auxiliar ao desenvolvimento de programas de prevenção mais eficazes por abranger, inclusive, os crimes subnotificados. De modo geral, os resultados contribuirão para a compreensão de alguns aspectos da dinâmica criminal, da relação entre a polícia e a comunidade, da percepção do medo e da sensação de (in)segurança.

Use of uniform designs in combination with neural networks for viral infection process development

This work aimed to compare the predictive capacity of empirical models, based on the uniform design utilization combined to artificial neural networks with respect to classical factorial designs in bioprocess, using as example the rabies virus replication in BHK-21 cells. The viral infection process parameters under study were temperature (34°C, 37°C), multiplicity of infection (0.04, 0.07, 0.1), times of infection, and harvest (24, 48, 72 hours) and the monitored output parameter was viral production. A multilevel factorial experimental design was performed for the study of this system. Fractions of this experimental approach (18, 24, 30, 36 and 42 runs), defined according uniform designs, were used as alternative for modelling through artificial neural network and thereafter an output variable optimization was carried out by means of genetic algorithm methodology. Model prediction capacities for all uniform design approaches under study were better than that found for classical factorial design approach. It was demonstrated that uniform design in combination with artificial neural network could be an efficient experimental approach for modelling complex bioprocess like viral production. For the present study case, 67% of experimental resources were saved when compared to a classical factorial design approach. In the near future, this strategy could replace the established factorial designs used in the bioprocess development activities performed within biopharmaceutical organizations because of the improvements gained in the economics of experimentation that do not sacrifice the quality of decisions.