1000 resultados para RENTAS - COLOMBIA - MODELOS MATEMATICOS
Resumo:
The aim of this investigation is to study how Zr/Ti-PILC adsorbs metals. The physico-chemical proprieties of Zr/Ti-PILC have been optimized with pillarization processes and Cu(II), Ni(II) and Co(II) adsorption from aqueous solution has been carried out, with maximum adsorption values of 8.85, 8.30 and 7.78 x10-1 mmol g-1, respectively. The Langmuir, Freundlich and Temkin adsorption isotherm models have been applied to fit the experimental data with a linear regression process. The energetic effect caused by metal interaction was determined through calorimetric titration at the solid-liquid interface and gave a net thermal effect that enabled the calculation of the exothermic values and the equilibrium constant.
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Depending on the various models explaining the burnout syndrome, different questionnaires have been developed to asses this topic, the most widely-used is the Maslach Burnout Inventory (MBI). Moreover, in trying to asses this syndrome in a faster and more practical way, several authors have developed other instruments with fewer items. The present investigation aims: 1. Study the prevalence of burnout syndrome perceived using a simple measure of self-reported burnout, and to analyse its association with the scales of MBI. 2. Study demographic and work conditions associated with the perceived burnout. 3. Relate the burnout to personal and work evaluations. The sample consist of 6150 health professionals in Latin America (mainly from Argentina but with representation from Mexico, Ecuador, Peru, Colombia, Uruguay, Guatemala and Spain, among others. The mean age of the sample was 42.4 years, 52.7% were males. They were supplied with an online questionnaire through the health web page ”Intramed” in order to measure characteristics, perceptions and professional opinions. The MBI and a simple question to assess perceptions of burnout (Do you feel burnt out ?) was also included. The results indicated that 36.3% of the sample has the perception of “burnt out” or burnout . The perceived burnout is closely related to emotional exhaustion and is independent of depersonalisation. The burnout is associated with the perceived sense of personal and family deterioration due to working conditions, and the idea of abandoning the profession
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Objetivo: Determinar la percepción de trabajadores de distintos sectores empresariales de Colombia sobre los factores psicosociales presentes en su entorno laboral y la relación entre los factores psicosociales nocivos y los síntomas subjetivos y alteraciones de la salud. Materiales y métodos: Estudio no experimental, transversal y cuantitativo. Participaron 370 trabajadores, de diferentes sectores empresariales de Colombia (Centro-Oriente, Suroccidente y región Caribe). Instrumento: batería para el estudio de las condiciones de trabajo de carácter psicosocial (CTCPS-MAC), validada para población iberoamericana, permite evaluar cuatro dimensiones: Contexto de trabajo, Contenido de trabajo, Factores individuales y Desgaste psíquico e incluye catorce factores psicosociales. Los datos se analizaron con IBM SPSS statistics 21. Se realizó análisis bivariado y regresión logística multivariante de factores psicosociales nocivos y desgaste psíquico. Resultados: Los factores formación, baja médica, contexto de trabajo, contenido de trabajo y factores individuales están asociados en este estudio con desgaste psíquico. El contexto de trabajo es la variable que infiere mayor riesgo (p=0.000; Exp (B)= 5.355) para provocar desgaste psíquico, seguida de la formación técnica o superior y del contenido del trabajo. Conclusiones: Si bien aquellos trabajadores cuya percepción nociva del contexto de trabajo (interrelación trabajo-vida familiar/personal, cultura de la organización, gestión de la empresa, etc.), del contenido de trabajo (concepción tareas, carga y ritmo de trabajo, etc.) y los que tienen formación técnica o superior tienen mayor probabilidad de padecer desgaste psíquico, se observan aspectos positivos de las condiciones de trabajo psicosocial y su influencia en los trabajadores y en las organizaciones.
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Mental models play an important role in the evolution of an individual's so-called knowledge. Using such representations, students can explain, foresee, and attribute causality to observed phenomena. In the case of Chemistry, the ability to work mentally with models assumes great importance, due to the microscopic component that is characteristic of this science. With the objective of exploring students' ability to work with models, 27 students of the Chemistry Institute of UNESP were asked to describe the mechanisms of dissolution, in water, of NaCl, HCl and HCN, as well as the partial dissolution of I2. Due to difficulties of access to complex descriptors of these processes, each student was asked to explain the phenomena using words and drawings. The results of these investigations were analyzed, and enabled construction of a framework representing the Chemistry students' theoretical training, especially with respect to their most important transferred skill: an ability to model the physical world.
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The effects of the extraction system (50% methanol or 50% methanol pH 2.0), volume/material ratio, temperature, time and extractions with 70% acetone were evaluated in the total phenolic compounds (TPC) extraction and in antioxidant activities (AA) using FRAP and ABTS assays in guava fruit. The best yield was obtained when 0.5 g of guava were extracted first with 20 mL 50% methanol and then four times with 20 mL 70% acetone during 30 min at 50 °C. Among the different trials guava fruit exhibited high levels of AA as well as TPC.
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Some physicochemical parameters, vitamin C, total phenolic compounds and antioxidant activity (AA) measured by ABTS, FRAP and DPPH methods were determinated in four different varieties of ripe guava produced in Colombia. Samples were statistically similar in their titratable acidity. Soluble solids were statistically similar and higher in "Pear", "Pink Regional", and "White Regional", but lower in "Apple" guavas. Vitamin C was statistically lower in "Pear" guava. Phenolics, ABTS-, FRAP-, and DPPH-AA were statistically lower in "Apple" guava if compared in wet basis. "Pink Regional" and "White Regional" contained the highest levels in vitamin C, phenolics and antioxidant activity.
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The conventional approach to simple quantum chemistry models is contrasted with that known as momentum representation, where the wavefunctions are momentum dependent. Since the physical interactions are the same, state energies should not change, and whence the energy differences correlating with the real world as spectral lines or bands. We emphasize that one representation is not more fundamental than the other, and the choice is a matter of mathematical convenience. As spatial localization is rooted in our brains, to think in terms of the momentum present us a great mental challenge that can lead to complementary perspectives of a model.
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The current legislation determines that the chemist must have a solid comprehension about chemical concepts. Literature presents the concept of mental model, which is determinant to the learning of phenomena and concepts. This paper presents some mental models that students of the Chemistry course at UFSCar have about chemical concepts. A lot of incoherence was observed in student's mental models, which is an evidence that there are problems in the learning of chemistry education.
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This work reports a study on the attitudes of Colombian students towards Chemistry in different undergraduate programs. The research was performed on 769 students belonging to several Chemistry courses, by applying an adaptation of Salta and Tzougraki's test and using Likert's scale. The results revealed that Chemistry is being considered as difficult and little useful, but very interesting. Thus, the difficulty to learn Chemistry may be associated with its language and abstract conceptual nature. In addition, more attention should be given to the class contents and methodologies provided to the students, in order to engage them with those interest aspects and meaningful topics of each program
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This work outlines the historic development of the concept and main theories of energy transfer, as well as the principal experiments carried out to confirm or refute the proposed theories. Energy transfer in coordination compounds is also discussed with a focus on rare earth systems.
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Mixture Models can be used in experimental situations involving areas related to food science and chemistry. Some problems of a statistical nature can be found, such as effects of multicollinearity that result in uncertainty in the optimization of a dependent variable. This study proposes the application of the ridge model adapted for mixture planning considering the Kronecker (K-model) and Scheffe (S-Model) methods applied to response surfaces. The method determined the proportions of hexane, acetone and alcohol proportions that resulted in the maximum response of percentage of extracted pequi (Caryocar brasiliense) pulp oil.
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QSAR modeling is a novel computer program developed to generate and validate QSAR or QSPR (quantitative structure- activity or property relationships) models. With QSAR modeling, users can build partial least squares (PLS) regression models, perform variable selection with the ordered predictors selection (OPS) algorithm, and validate models by using y-randomization and leave-N-out cross validation. An additional new feature is outlier detection carried out by simultaneous comparison of sample leverage with the respective Studentized residuals. The program was developed using Java version 6, and runs on any operating system that supports Java Runtime Environment version 6. The use of the program is illustrated. This program is available for download at lqta.iqm.unicamp.br.
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A giberela ou fusariose da espiga é, atualmente, uma das mais importantes doenças da cultura do trigo (Triticum aestivum). Epidemias severas têm sido observadas nos últimos anos em diversas regiões do mundo, promovendo perdas na produtividade e na qualidade dos grãos. No Brasil, a giberela alcançou o status de principal doença nas regiões tritícolas, principalmente no Sul do Brasil. A sua natureza esporádica está associada à dependência climática, sendo as mais severas epidemias observadas em anos com maior freqüência de chuvas, durante a fase de florescimento e enchimento de grãos. Poucas são as cultivares com resistência genética aceitável e essas normalmente falham em anos muito favoráveis a epidemias. Medidas de controle com fungicidas têm sido preconizadas, entretanto, a dificuldade reside no momento e na tecnologia de aplicação, para se obter resultados satisfatórios. O melhor entendimento dos fatores que influenciam a dinâmica da doença pode auxiliar no manejo da cultura visando a minimizar os riscos de epidemias. Aspectos como aerobiologia e tipo de inóculo, distribuição espacial e gradiente espacial da doença podem contribuir no conhecimento da associação e a importância de fontes de inóculo local ou distante ao campo. Recentemente, uma grande atenção tem sido dada ao desenvolvimento de modelos de previsão ou de risco de giberela. Tais modelos podem auxiliar na tomada de decisão no acionamento de medidas de controle bem como alertar níveis epidêmicos da doença em uma determinada região, ou mesmo quanto à alta contaminação do trigo com micotoxinas de Fusarium spp.
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Para misturas nas quais existem interações entre moléculas diferentes aparece um parâmetro energético de interação ajustável na relação das variáveis. As grandezas termodinâmicas de excesso dão informação qualitativa dos possíveis tipos de interação. Duas grandezas importantes neste sentido são o volume de excesso e a entalpia de excesso. Neste artigo se estudam diferentes métodos, regressão com mínimos quadrados e por minimização do valor absoluto e relativo dos resíduos, para determinar a possibilidade de aplicação dos mesmos no cálculo de parâmetros de interação molecular em modelos termodinâmicos de soluções. Usam-se dados experimentais de volume molar de excesso para todo o intervalo de frações molares de 10 sistemas binários formados por acetonitrila + um álcool primário (do metanol ao n-decanol). Comparam-se os valores calculados e os dados experimentais das grandezas, e são feitas análises dos resultados.
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Em geral, os modelos de crescimento empregados na descrição de processos cinéticos do estado sólido utilizam as funções de Morgan-Mercer-Flodin (MMF) e Johnson-Mehl-Avrami (JMA). Neste trabalho comparou-se o comportamento das estimativas dos parâmetros dessas funções, em duas parametrizações, quando ajustadas aos dados experimentais de variação isotérmica da microdureza da liga Cu-3%Al-5%Ag com o tempo de envelhecimento, em cinco temperaturas diferentes. Na estimativa dos parâmetros aplicou-se o método dos mínimos quadrados à função linearizada do modelo e para o refinamento da solução, os procedimentos da regressão não linear. Foram obtidas as distribuições de freqüências das estimativas dos parâmetros, por simulação, e determinados seus erros relativos. Observou-se que, em uma das parametrizações das funções, a estimativa do parâmetro cinético apresentou maior estabilidade. Apesar dessas funções serem anteriormente consideradas distintas, verificou-se que a função de MMF é uma aproximação da função de JMA, sendo que esta, com a parametrização adequada, é a mais indicada para descrever o processo cinético considerado.