10 resultados para INFLUENCIA - ADITIVO BETTER MIX – COLOMBIA

em Repositório Científico do Instituto Politécnico de Lisboa - Portugal


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Mestrado em Controlo e Gestão de Negócios

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Esta comunicação insere-se no Projeto “Pensamento numérico e cálculo flexível: Aspetos críticos”. Começa por discutir o que se entende por flexibilidade de cálculo e raciocínio quantitativo aditivo, discutindo depois os resultados de entrevistas individuais realizadas com quatro alunos (dois do 1.º ano e dois do 2.º ano) quando lhes foram propostas tarefas onde aqueles aspetos estavam presentes. Trata-se de um estudo exploratório cujo principal objetivo é compreender o raciocínio dos alunos quando resolvem tarefas numéricas envolvendo situações aditivas, e ainda identificar aspetos associados à flexibilidade de cálculo e ao raciocínio quantitativo. Os resultados mostram que, no caso dos alunos do 1.º ano, o seu desempenho parece estar relacionado com o seu desenvolvimento do sentido do número e com as relações que dominam. Para os alunos do 2.º ano, o raciocínio inversivo constituiu um aspeto crítico, que conseguiram mobilizar depois de superadas as dificuldades iniciais. Os resultados sugerem, ainda, que estes alunos concebem a diferença como uma relação invariante numérica.

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Mestrado em Intervenção Sócio-Organizaional na Saúde - Ramo de especialização: Intervenção Comunitária

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Renewable energy sources (RES) have unique characteristics that grant them preference in energy and environmental policies. However, considering that the renewable resources are barely controllable and sometimes unpredictable, some challenges are faced when integrating high shares of renewable sources in power systems. In order to mitigate this problem, this paper presents a decision-making methodology regarding renewable investments. The model computes the optimal renewable generation mix from different available technologies (hydro, wind and photovoltaic) that integrates a given share of renewable sources, minimizing residual demand variability, therefore stabilizing the thermal power generation. The model also includes a spatial optimization of wind farms in order to identify the best distribution of wind capacity. This methodology is applied to the Portuguese power system.

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Purpose: To assess image quality using PGMI (perfect, good, moderate, inadequate) scale in digital mammography examinations acquired in DR systems. Identify the main failures and propose corrective actions. Evaluate the most typical breast density. Methods and Materials: Clinical image quality criteria were evaluated considering mammograms acquired in 13 DR systems and classified according to PGMI scale using the criteria described in European Commission guidelines for radiographers. The breast density was assessed according to ACR recommendations. The data were collected on the acquisition system monitor to reproduce the daily practice of the radiographer. Results: The image quality criteria were evaluated in 3044 images. The criteria were fully achieved in 41% of the images that were classified as P (perfect), 31 % of the images were classified as M (moderate), 20% G (good) and 9% I (inadequate). The main cause of inadequate image quality was absence of all breast tissue in the image, skin folders in the pectoral muscle and in the infra-mammary angle. The higher number of failures occurred in MLO projections (809 out of 1022). The most represented (36%) breast type was type 2 (25-50% glandular tissue). Conclusion: Incorrect radiographic technique was frequently detected suggesting potential training needs and poor communication between the team members (radiographer and radiologists). Further correlations are necessary to identify the main causes for the failures, namely specific education and training in digital mammography and workload.

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Renewable energy sources (RES) have unique characteristics that grant them preference in energy and environmental policies. However, considering that the renewable resources are barely controllable and sometimes unpredictable, some challenges are faced when integrating high shares of renewable sources in power systems. In order to mitigate this problem, this paper presents a decision-making methodology regarding renewable investments. The model computes the optimal renewable generation mix from different available technologies (hydro, wind and photovoltaic) that integrates a given share of renewable sources, minimizing residual demand variability, therefore stabilizing the thermal power generation. The model also includes a spatial optimization of wind farms in order to identify the best distribution of wind capacity. This methodology is applied to the Portuguese power system.

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Neste artigo, pretendemos identificar tipos de representação usados pelos alunos na resolução de duas tarefas que apresentam problemas de transformação, e através da sua análise, discutir o seu papel bem como alguns dos aspetos do raciocínio quantitativo aditivo dos alunos. Começando por discutir o que se entende por raciocínio quantitativo aditivo e por representação matemática, apresentamos depois alguns resultados empíricos no contexto de uma experiência de ensino desenvolvida numa escola pública. Os resultados evidenciam a complexidade inerente ao raciocínio inversivo presente nas duas situações propostas aos alunos. A maioria dos alunos utiliza preferencialmente a representação simbólica, recorrendo também à linguagem oral e escrita como forma de exprimir o significado atribuído às suas resoluções. A representação icónica foi usada apenas por um par de alunos, parecendo ter sido utilizada numa situação inicial de incompreensão do problema, e após registos simbólicos iniciais apagados pelos alunos em causa. O uso da linha numérica vazia e a disposição tabelar constituíram modelos de pensar auxiliando a lidar com a transformação inversa. As representações assumiram um duplo papel, o de serem meios de compreensão do raciocínio dos alunos, e também suportes do desenvolvimento do seu pensamento matemático.

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Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Química

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Relatório da Prática Profissional Supervisionada Mestrado em Educação Pré-Escolar

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In slaughterhouses, the biological risk is present not only from the direct or indirect contact with animal matter, but also from the exposure to bioaerosols. Fungal contamination was already reported from the floors and walls of slaughterhouses. This study intends to assess fungal contamination by cultural and molecular methods in poultry, swine/bovine and large animal slaughterhouses. Air samples were collected through an impaction method, while surface samples were collected by the swabbing method and subjected to further macro- and micro-scopic observations. In addition, we collected air samples using the impinger method in order to perform real-time quantitative PCR (qPCR) amplification of genes from specific fungal species, namely A. flavus, A. fumigatus and A. ochraceus complexes. Poultry and swine/bovine slaughterhouses presented each two sampling sites that surpass the guideline of 150 CFU/m3. Scopulariopsis candida was the most frequently isolated (59.5%) in poultry slaughterhouse air; Cladosporium sp. (45.7%) in the swine/bovine slaughterhouse; and Penicillium sp. (80.8%) in the large animal slaughterhouse. Molecular tools successfully amplified DNA from the A. fumigatus complex in six sampling sites where the presence of this fungal species was not identified by conventional methods. This study besides suggesting the indicators that are representative of harmful fungal contamination, also indicates a strategy as a protocol to ensure a proper characterization of fungal occupational exposure.