Background: Aedes aegypti is a vector for the transmission of diseases such as dengue fever, chikungunya, Zika fever, and yellow fever. In 2016, over 1 million cases of these diseases were reported in Brazil, which is an alarming public health issue. One of the ways of controlling this disease is by inspecting and neutralizing the places where A. aegypti lays its eggs. The Ministry of Planning, Development, and Administration of Brazil maintains the inspection statistics. Objective: We propose a multi-criteria analysis to create an index for A. aegypti inspections reported through the Ministry of Planning, Development, and Administration system of Brazil. Methods: Based on the repository from urban cleaning services combined with data on inspections conducted by government agencies in several Brazilian cities and municipalities, we selected and combined metrics, which we further ranked using the analytic hierarchy process methodology. We also developed risk maps based on the analytic hierarchy process ranking of the A. aegypti breeding sites. Results: Based on our analysis and the available data, the priority for inspections should consider the number of sick people (weight 0.350), medical evaluations (weight 0.239), inspections (weight 0.201), mosquito breeding sites (weight 0.126), and days of absence from work (weight 0.096). Conclusions: The proposed index could aid public health practitioners in preventing the appearance of new A. aegypti breeding sites. This information technology application can help solve such public health challenges.

This article discusses the Brazilian maritime authority’s efforts to monitor and control vessels in specific maritime areas using data from the naval traffic control system. Anomalies in vessel locations can signal security threats or illegal activities, such as drug trafficking and illegal fishing. A reliable Maritime Domain Awareness (MDA) is necessary to reduce such occurrences. This study proposes a data-driven framework, CV-MDA, which uses computer vision to enhance MDA. The approach integrates vessel records and camera images to create an annotated dataset for a Convolutional Neural Network (CNN) model. This solution supports detecting, classifying, and identifying small vessels without trackers or that have deliberately shut down their tracking systems in order to engage in illegal activities. Improving MDA could enhance maritime security, including identifying warships invading territorial waters and preventing illegal activities.

Supercapacitors are devices that accumulate electrical energy and have a long-life cycle, high power density and low weight. Despite these properties, they have low capacitance and energy density compared to other devices. To advance the applicability of supercapacitors, it is necessary to develop electrode materials that store a greater amount of energy. With the objective of analyzing the electrochemical properties of new materials applied in supercapacitors. Supercapacitors based on graphene oxide (GO) and reduced graphene oxide (RGO) were developed in this work. GO and RGO morphologies were analyzed by scanning electron microscopy (SEM) and chronoamperometry (AC) and cyclic voltammetry (VC) tests to evaluate the electrochemical performance of supercapacitors. The SEM test results showed that the GO used in the experiment had a porous structure and low crystallinity. According to the test results both supercapacitors have similar capacitance characteristics. Os supercapacitores são dispositivos que acumulam energia elétrica e apresentam ciclo de vida longo, alta potência de densidade e baixo peso. Apesar dessas propriedades, eles possuem baixa capacitância e densidade de energia em comparação com outros dispositivos. Para avançar na aplicabilidade dos supercapacitores, é necessário desenvolver materiais de eletrodos que armazenem uma quantidade maior de energia. Com o objetivo de analisar as propriedades eletroquímicas de novos materiais aplicados em supercapacitores. Supercapacitores baseados em óxido de grafeno (GO) e óxido de grafeno reduzido (RGO) foram desenvolvidos neste trabalho. As morfologias de GO e RGO foram analisadas por microscopia eletrônica de varredura (MEV) e testes de cronoamperometria (AC) e voltametria cíclica (VC) para avaliar o desempenho eletroquímico dos supercapacitores. Os resultados do teste de MEV exibiram que o GO usado no experimento tinha uma estrutura porosa e baixa cristalinidade. De acordo com os resultados do teste ambos os supercapacitores têm características de capacitância semelhantes.

BACKGROUND Aedes aegypti is a vector for the transmission of diseases such as dengue fever, chikungunya, Zika fever, and yellow fever. In 2016, over 1 million cases of these diseases were reported in Brazil, which is an alarming public health issue. One of the ways of controlling this disease is by inspecting and neutralizing the places where A. aegypti lays its eggs. The Ministry of Planning, Development, and Administration of Brazil maintains the inspection statistics. OBJECTIVE We propose a multi-criteria analysis to create an index for A. aegypti inspections reported through the Ministry of Planning, Development, and Administration system of Brazil. METHODS Based on the repository from urban cleaning services combined with data on inspections conducted by government agencies in several Brazilian cities and municipalities, we selected and combined metrics, which we further ranked using the analytic hierarchy process methodology. We also developed risk maps based on the analytic hierarchy process ranking of the A. aegypti breeding sites. RESULTS Based on our analysis and the available data, the priority for inspections should consider the number of sick people (weight 0.350), medical evaluations (weight 0.239), inspections (weight 0.201), mosquito breeding sites (weight 0.126), and days of absence from work (weight 0.096). CONCLUSIONS The proposed index could aid public health practitioners in preventing the appearance of new A. aegypti breeding sites. This information technology application can help solve such public health challenges.