Procedimentos de informação portuária electrónica

A integração de sistemas é uma necessidade cada vez mais necessária face à exigência e competitividade dos negócios. Uma forma de respondermos a estes factos é através da tecnologia, acompanhando-a e aprofundando-a. O presente documento apresenta uma proposta de solução tecnológica a estes factos. O caso que iremos abordar trata-se da necessidade de renovar o sistema de gestão portuária a nível nacional, garantido uma continuidade de negócio, assim como a implementação de novas funcionalidades que permitam a esta plataforma ser totalmente independente e integrável com outros sistemas e/ou adaptável a outras organizações no futuro. SOA, Service Oriented Architecture, foi a filosofia adoptada para garantir a facilitação do tráfego marítimo através da harmonização de processos e procedimentos entre os vários portos, fundamentalmente no referente à interconexão e interoperabilidade, e a partilha e troca electrónica de informação processual entre os vários membros da comunidade marítima e portuária. ABSTRACT; System integration is a necessity progressively more required due to the business demand and competitiveness. It is possible to respond to the latter facts with technology, by following it and developing it. This study proposes a technological solution for the abovementioned facts. The case to be addressed is the need to renovate the port management system in a nationwide scale, assuring simultaneously the continuity of the business and the implementation of new functionalities that allow for this platform to be utterly independent and applicable to other systems and/or adaptable to other organizations in the future. SOA, Service Oriented Architecture, was the theory adopted to guarantee the simplification of the maritime traffic, by harmonizing the processes and the procedures among the several ports, especially concerning the interconnection and interoperability, and the electronic sharing and exchange of information referent to processes amongst the numerous members of the maritime and port community.

Tutoria da anatomia mamária feminina utilizando uma rede neural artificial interactive activation and competition orientada a serviço

Dissertação (mestrado)—Universidade de Brasília, Faculdade Gama, Programa de Pós-Graduação em Engenharia Biomédica, 2015.

Arte, teatro pós-traumático e loucura : o processo criativo do chicqueiro e a lógica do pato

Dissertação (mestrado)—Universidade de Brasília, Instituto de Artes, 2016.

Modeling the Effect of Vapor Wall Deposition on the Formation of Secondary Organic Aerosol in Chamber Studies

Laboratory chamber experiments are used to investigate formation of secondary organic aerosol (SOA) from biogenic and anthropogenic precursors under a variety of environmental conditions. Simulations of these experiments test our understanding of the prevailing chemistry of SOA formation as well as the dynamic processes occurring in the chamber itself. One dynamic process occurring in the chamber that was only recently recognized is the deposition of vapor species to the Teflon walls of the chamber. Low-volatility products formed from the oxidation of volatile organic compounds (VOCs) deposit on the walls rather than forming SOA, decreasing the amount of SOA formed (quantified as the SOA yield: mass of SOA formed per mass of VOC reacted). In this work, several modeling studies are presented that address the effect of vapor wall deposition on SOA formation in chambers.

A coupled vapor-particle dynamics model is used to examine the competition among the rates of gas-phase oxidation to low volatility products, wall deposition of these products, and mass transfer to the particle phase. The relative time scales of these rates control the amount of SOA formed by affecting the influence of vapor wall deposition. Simulations show that an effect on SOA yield of changing the vapor-particle mass transfer rate is only observed when SOA formation is kinetically limited. For systems with kinetically limited SOA formation, increasing the rate of vapor-particle mass transfer by increasing the concentration of seed particles is an effective way to minimize the effect of vapor wall deposition.

This coupled vapor-particle dynamics model is then applied to α-pinene ozonolysis SOA experiments. Experiments show that the SOA yield is affected when changing the oxidation rate but not when changing the rate of gas-particle mass transfer by changing the concentration of seed particles. Model simulations show that the absence of an effect of changing the seed particle concentration is consistent with SOA formation being governed by quasi-equilibrium growth, in which gas-particle equilibrium is established much faster than the rate of change of the gas-phase concentration. The observed effect of oxidation rate on SOA yield arises due to the presence of vapor wall deposition: gas-phase oxidation products are produced more quickly and condense preferentially onto seed particles before being lost to the walls. Therefore, for α-pinene ozonolysis, increasing the oxidation rate is the most effective way to mitigate the influence of vapor wall deposition.

Finally, the detailed model GECKO-A (Generator for Explicit Chemistry and Kinetics of Organics in the Atmosphere) is used to simulate α-pinene photooxidation SOA experiments. Unexpectedly, α-pinene OH oxidation experiments show no effect when changing either the oxidation rate or the vapor-particle mass transfer rate, whereas GECKO-A predicts that changing the oxidation rate should drastically affect the SOA yield. Sensitivity studies show that the assumed magnitude of the vapor wall deposition rate can greatly affect conclusions drawn from comparisons between simulations and experiments. If vapor wall loss in the Caltech chamber is of order 10^-5 s^-1, GECKO-A greatly overpredicts SOA during high UV experiments, likely due to an overprediction of second-generation products. However, if instead vapor wall loss in the Caltech chamber is of order 10^-3 s^-1, GECKO-A greatly underpredicts SOA during low UV experiments, possibly due to missing autoxidation pathways in the α-pinene mechanism.

O impacto da publicação de relatórios de sustentabilidade no desempenho financeiro das empresas portuguesas

O presente trabalho tem como objetivo apresentar evidências empíricas sobre o impacto da divulgação de informação sobre práticas ambientais pelas empresas portuguesas no seu desempenho financeiro. Este estudo justifica-se pela perceção de que as empresas, em geral, estão muito preocupadas em divulgar as práticas ambientais praticadas para satisfazer a necessidade de informação dos stakeholders, cada vez mais conscientes dos problemas ambientais quer a nível local ou mundial. Perante este cenário, cada vez mais as empresas produzem relatórios de sustentabilidade, pelo que se torna evidente a necessidade de avaliar o retorno dessa decisão em termos financeiros. No seguimento de um enquadramento teórico sobre estudos realizados sobre esta temática e seus resultados, e adotando a metodologia sugerida por Lo et. al (2012) foi realizado um estudo de evento, cujo evento é a publicação do primeiro relatório de sustentabilidade para 38 empresas portuguesas, para analisar o retorno anormal dos indicadores ROA (Return On Assets), ROS (Retur On Sales) e SOA (Sales On Assets) e assim verificar a existência, ou não, de algum impacto. Com base nos resultados obtidos conclui-se que não podemos afirmar que a publicação voluntária do relatório de sustentabilidade tem algum impacto positivo no desempenho financeiro das empresas portuguesas.

Flexible Computing Systems For AI Acceleration At The Extreme Edge Of The IoT

Embedding intelligence in extreme edge devices allows distilling raw data acquired from sensors into actionable information, directly on IoT end-nodes. This computing paradigm, in which end-nodes no longer depend entirely on the Cloud, offers undeniable benefits, driving a large research area (TinyML) to deploy leading Machine Learning (ML) algorithms on micro-controller class of devices. To fit the limited memory storage capability of these tiny platforms, full-precision Deep Neural Networks (DNNs) are compressed by representing their data down to byte and sub-byte formats, in the integer domain. However, the current generation of micro-controller systems can barely cope with the computing requirements of QNNs. This thesis tackles the challenge from many perspectives, presenting solutions both at software and hardware levels, exploiting parallelism, heterogeneity and software programmability to guarantee high flexibility and high energy-performance proportionality. The first contribution, PULP-NN, is an optimized software computing library for QNN inference on parallel ultra-low-power (PULP) clusters of RISC-V processors, showing one order of magnitude improvements in performance and energy efficiency, compared to current State-of-the-Art (SoA) STM32 micro-controller systems (MCUs) based on ARM Cortex-M cores. The second contribution is XpulpNN, a set of RISC-V domain specific instruction set architecture (ISA) extensions to deal with sub-byte integer arithmetic computation. The solution, including the ISA extensions and the micro-architecture to support them, achieves energy efficiency comparable with dedicated DNN accelerators and surpasses the efficiency of SoA ARM Cortex-M based MCUs, such as the low-end STM32M4 and the high-end STM32H7 devices, by up to three orders of magnitude. To overcome the Von Neumann bottleneck while guaranteeing the highest flexibility, the final contribution integrates an Analog In-Memory Computing accelerator into the PULP cluster, creating a fully programmable heterogeneous fabric that demonstrates end-to-end inference capabilities of SoA MobileNetV2 models, showing two orders of magnitude performance improvements over current SoA analog/digital solutions.

Interpretable Convolutional Neural Networks for Decoding and Analyzing Neural Time Series Data

Machine learning is widely adopted to decode multi-variate neural time series, including electroencephalographic (EEG) and single-cell recordings. Recent solutions based on deep learning (DL) outperformed traditional decoders by automatically extracting relevant discriminative features from raw or minimally pre-processed signals. Convolutional Neural Networks (CNNs) have been successfully applied to EEG and are the most common DL-based EEG decoders in the state-of-the-art (SOA). However, the current research is affected by some limitations. SOA CNNs for EEG decoding usually exploit deep and heavy structures with the risk of overfitting small datasets, and architectures are often defined empirically. Furthermore, CNNs are mainly validated by designing within-subject decoders. Crucially, the automatically learned features mainly remain unexplored; conversely, interpreting these features may be of great value to use decoders also as analysis tools, highlighting neural signatures underlying the different decoded brain or behavioral states in a data-driven way. Lastly, SOA DL-based algorithms used to decode single-cell recordings rely on more complex, slower to train and less interpretable networks than CNNs, and the use of CNNs with these signals has not been investigated. This PhD research addresses the previous limitations, with reference to P300 and motor decoding from EEG, and motor decoding from single-neuron activity. CNNs were designed light, compact, and interpretable. Moreover, multiple training strategies were adopted, including transfer learning, which could reduce training times promoting the application of CNNs in practice. Furthermore, CNN-based EEG analyses were proposed to study neural features in the spatial, temporal and frequency domains, and proved to better highlight and enhance relevant neural features related to P300 and motor states than canonical EEG analyses. Remarkably, these analyses could be used, in perspective, to design novel EEG biomarkers for neurological or neurodevelopmental disorders. Lastly, CNNs were developed to decode single-neuron activity, providing a better compromise between performance and model complexity.

Melhoria da Atenção aos Usuários com Hipertensão Arterial Sistêmica e/ou Diabetes Mellitus, na UBS Dr. Iacy Alcântara, Santana/AP

COPO, Antonio César Nuñes. Melhoria da Atenção aos Usuários com Hipertensão Arterial Sistêmica e/ou Diabetes Mellitus, na UBS Dr. Iacy Alcântara, Santana/AP. 2015. 112f. Trabalho de Conclusão de Curso (Curso de Especialização em Saúde da Família) - Departamento de Medicina Social, Faculdade de Medicina, Universidade Federal de Pelotas, Pelotas, 2015. No Brasil, a Hipertensão Arterial Sistêmica e o Diabetes Mellitus constituem a primeira causa de hospitalizações no sistema público de saúde. No mundo inteiro, as duas doenças são os primeiros fatores de risco de mortalidade por complicações desencadeadas por elas, repercutindo social e economicamente. A ausência de registros, a falta de dados e sua atualização, a não existência do número exato de usuários cadastrados com hipertensão e diabetes soa as causas de onde parte a necessidade da realização desta intervenção assistencial e educativa com a finalidade de melhorar a atenção dos usuários hipertensos e diabéticos da Unidade Básica de Saúde Dr. "Iacy Alcântara" no município de Santana, estado do Amapá, durante um período de 12 semanas. Os protocolos do Ministério da Saúde, cadernos de atenção básica nº 36 e 37 foram às referências utilizadas para a realização da parte teórica do projeto. As ações realizadas incluíram o cadastramento dos usuários hipertensos e/ou diabéticos no programa HIPERDIA, o acompanhamento dos indicadores, a realização de atividades educativas e capacitações da equipe de saúde da família. Foram cobertos pela intervenção 182 indivíduos diagnosticados com hipertensão arterial e/ou diabetes mellitus, com o preenchimento de informações na Planilha de Coleta de Dados fornecida pelo curso para a equipe de saúde. Ao final da intervenção, a cobertura foi de 68,1% para os usuários hipertensos e 89,7% para os diabéticos, mais de 90% apresentaram exame clínico em dia em ambos os grupos. Os diabéticos estão utilizando os medicamentos da farmácia popular/hiperdia e só um 77,2% dos hipertensos. Foi realizada a busca ativa dos faltosos as consultas, assim como avaliação clínica do risco cardiovascular através de exame físico e interrogatório. Espera-se que a gestão municipal de saúde apoie e fortaleça este tipo de ação para os demais profissionais e equipes e que continue estabelecida a intervenção na rotina da equipe de saúde, para que a comunidade se aproprie da proposta, contribuindo assim com sua continuidade e aperfeiçoamento. Palavras-chave: atenção primária à saúde; saúde da família; doença crônica; diabetes mellitus; hipertensão.