935 resultados para stoichiometry of association
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Vols. for <1978- > also designated nouv. sér.
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Publication suspended Oct.1914-1918, Jan.-Mar.1920
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"This volume, like its two predecessors ['The unity of western civilization' and 'Progress'] arises from a course of lectures delivered at a summer school at Woodbrooke, near Birmingham, in August, 1919."
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1948-60 Include Nebraska Certified Seed Handbook (Varies Slightly); 1961-63 Consist Only of the Nebraska Certified Seed Handbook
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"A periodical paper explanatory of the new system of society projected by Robert Owen, esq.; and of a plan of association for improving the condition of the working classes, during their continuance at their present employments."
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Inorganic sulfate is essential for numerous functions in mammalian physiology. In the present study, we characterized the functional properties of the rat Na+-sulfate cotransporter NaS2 (rNaS2), determined its tissue distribution, and identified its gene (slc13a4) structure. Expression of rNaS2 protein in Xenopus oocytes led to a Na+-dependent transport of sulfate that was inhibited by phosphate, thiosulfate, tungstate, selenate, oxalate, and molybdate, but not by citrate, succinate, or DIDS. Transport kinetics of rNaS2 determined a K-M for sulfate of 1.26 mM. Na+ kinetics determined a Hill coefficient of n=3.0 +/- 0.7, suggesting a Na+:SO42- stoichiometry of 3:1. rNaS2 mRNA was highly expressed in placenta, with lower levels found in the brain and liver. slc13a4 maps to rat chromosome 4 and contains 17 exons, spanning over 46 kb in length. This gene produces two alternatively spliced transcripts, of which the transcript lacking exon 2 is the most abundant form. Its 5' flanking region contains CAAT- and GC-box motifs and a number of putative transcription factor binding sites, including GATA-1, SP1, and AP-2 consensus sequences. This is the first study to characterize rNaS2 transport kinetics, define its tissue distribution, and resolve its gene (slc13a4) structure and 5' flanking region.
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Este estudo apresenta uma discussão a respeito de drogas e de alunos usuários de drogas na escola, explorando as Representações Sociais manifestadas por professores que atuam na Rede Estadual de São Paulo, no ensino Médio. O estudo resgata aspectos históricos e sociais que influenciaram representações sociais sobre drogas em diferentes contextos da sociedade, na perspectiva de buscar compreender a maneira como atualmente elas se apresentam. Discute aspectos conceituais da Teoria das Representações Sociais a partir de Moscovici, considerando contribuições de Jodelet, e outros autores. Os dados coletados por meio de questionários e entrevistas foram analisados com o auxílio de dois softwares, o ALCESTE para análise lexical e o EVOC para análise de associação de palavras ou expressões, em articulação com uma análise de conteúdo clássica sugerida por Maria Laura Puglisi Barbosa Franco. O resultado identificou que as representações sociais sobre drogas na escola e alunos usuários estão ancoradas no modo como a grande mídia trata o tema, de forma alarmista e sensacionalista, influenciando grande parte dos professores que associa drogas na escola à violência. Verificou-se ainda que objetivação do aluno usuário de drogas é simbolizada como doença e que o grupo pesquisado segue as representações sociais há muito tempo estruturadas na sociedade, tendo a normalidade como sinônimo de saúde e a drogadição como condição desviante, decorrente de patologias. Assim, espera-se estar contribuindo para a reflexão sobre o uso e abuso de drogas nas escolas, um tema indispensável e que precisa ser enfrentado para construir-se uma via que leve a uma Educação justa e democrática.(AU)
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Este estudo teve a intenção de analisar até que ponto o uso de diferentes bases de poder dos superiores hierárquicos predizem os níveis de engajamento no trabalho e de resiliência dos trabalhadores, colaborando para aumentar o conhecimento sobre o comportamento dos servidores públicos municipais, quanto aos níveis de engajamento no trabalho e resiliência apresentados. Partiu-se da definição de poder de French e Raven (1959): poder é a influência potencial que o agente O poderia causar no sujeito P; adotou-se o conceito de engajamento no trabalho de Schaufeli e Bakker (2003), que definem engajamento no trabalho como um construto motivacional positivo, caracterizado por vigor, dedicação e absorção, sempre relacionado ao trabalho, o qual implica sentimento de realização, envolve estado cognitivo positivo, é persistente no tempo, apresentando, assim, natureza motivacional e social e por fim utilizou-se o conceito de Grotberg (2005) que define resiliência como a capacidade humana para enfrentar, vencer e ser fortalecido ou transformado por experiências de adversidades . Para isto, definiu-se como objetivo geral testar a capacidade preditiva das bases de poder social dos chefes sobre a resiliência e o engajamento no trabalho, em servidores públicos municipais de Diadema - SP. Participaram deste estudo 95 servidores públicos municipais do município de Diadema, SP, com pequena maioria de indivíduos do sexo feminino (51,6%), com maior percentual de idade entre 25 e 40 anos (38,9%). A maioria dos participantes (60%) declarou possuir nível superior completo (35,8%) ou pós-graduação (24,2%). Utilizou-se os instrumentos: Escala de Bases de Poder do Supervisor (EBPS), escala desenvolvida por Martins e Guimarães (2007); Escala de Avaliação da Resiliência (EAR), escala construída por Martins, Siqueira e Emilio (2011) e a Escala de Engajamento no Trabalho de UTRECHT (UWES) que tiveram seus indicadores de validade e fidedignidade apurados neste estudo. Como resultado constatou-se parcialmente a existência de associação entre engajamento no trabalho e resiliência, pois engajamento no trabalho correlacionou-se com três dos cinco fatores de resiliência: adaptação positiva à mudanças, competência pessoal e persistência diante de dificuldade. Verificou-se que as dimensões que compõem a variável resiliência obtiveram médias ao redor do ponto quatro da escala de resiliência (frequentemente é verdade), indicando que os participantes frequentemente percebem a si mesmos como capazes de enfrentar as adversidades da vida em função da sua alta percepção de persistência, capazes de adaptar-se às mudanças, com bom nível de competência pessoal e de espiritualidade. Constatou-se que as médias nas dimensões que compõem a variável engajamento no trabalho ficaram muito próximas do ponto quatro da escala de engajamento (algumas vezes na semana), indicando que eles percebem em si um alto grau engajamento no trabalho, ou seja, que possuem vigor, são dedicados e deixam-se absorver pelo trabalho. Verificou-se ainda que os trabalhadores percebem o poder de perícia como o mais empregado pelos seus superiores hierárquicos com média de 4,46 (DP= 0,71). Por fim, os resultados obtidos apontaram que o papel e o posicionamento da chefia não provocaram impacto significativo em nenhuma das variáveis consequentes, portanto, bases de poder não explicam resiliência para os trabalhadores participantes desta pesquisa como também não predisseram engajamento no trabalho.
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The topic of this thesis is the development of knowledge based statistical software. The shortcomings of conventional statistical packages are discussed to illustrate the need to develop software which is able to exhibit a greater degree of statistical expertise, thereby reducing the misuse of statistical methods by those not well versed in the art of statistical analysis. Some of the issues involved in the development of knowledge based software are presented and a review is given of some of the systems that have been developed so far. The majority of these have moved away from conventional architectures by adopting what can be termed an expert systems approach. The thesis then proposes an approach which is based upon the concept of semantic modelling. By representing some of the semantic meaning of data, it is conceived that a system could examine a request to apply a statistical technique and check if the use of the chosen technique was semantically sound, i.e. will the results obtained be meaningful. Current systems, in contrast, can only perform what can be considered as syntactic checks. The prototype system that has been implemented to explore the feasibility of such an approach is presented, the system has been designed as an enhanced variant of a conventional style statistical package. This involved developing a semantic data model to represent some of the statistically relevant knowledge about data and identifying sets of requirements that should be met for the application of the statistical techniques to be valid. Those areas of statistics covered in the prototype are measures of association and tests of location.
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Today, due to globalization of the world the size of data set is increasing, it is necessary to discover the knowledge. The discovery of knowledge can be typically in the form of association rules, classification rules, clustering, discovery of frequent episodes and deviation detection. Fast and accurate classifiers for large databases are an important task in data mining. There is growing evidence that integrating classification and association rules mining, classification approaches based on heuristic, greedy search like decision tree induction. Emerging associative classification algorithms have shown good promises on producing accurate classifiers. In this paper we focus on performance of associative classification and present a parallel model for classifier building. For classifier building some parallel-distributed algorithms have been proposed for decision tree induction but so far no such work has been reported for associative classification.
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The requirements for the memory structuring of intelligent systems are discussed. Simultaneously with the introduction of information into memory there should take place the processes of association links (bonds) formation, hierarchy systematizing, classification and concept formation. The growing pyramidal networks (GPN) meet these requirements. Many years of experience of GPN application for data analyses in chemistry and material studies proves their sufficiently high potential.
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The real purpose of collecting big data is to identify causality in the hope that this will facilitate credible predictivity . But the search for causality can trap one into infinite regress, and thus one takes refuge in seeking associations between variables in data sets. Regrettably, the mere knowledge of associations does not enable predictivity. Associations need to be embedded within the framework of probability calculus to make coherent predictions. This is so because associations are a feature of probability models, and hence they do not exist outside the framework of a model. Measures of association, like correlation, regression, and mutual information merely refute a preconceived model. Estimated measures of associations do not lead to a probability model; a model is the product of pure thought. This paper discusses these and other fundamentals that are germane to seeking associations in particular, and machine learning in general. ACM Computing Classification System (1998): H.1.2, H.2.4., G.3.
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The objective of this study was to investigate the relationship of organizational culture and organizational climate on participant perceptions of collaborative capacity for planning, within the context of the Florida School Readiness Coalitions (FSRCs). Three hypotheses were proposed for study: First, that organizational culture would be correlated to organizational climate; second, that organizational culture would be correlated to collaborative capacity for planning; and the third that organizational climate would be correlated to collaborative capacity for planning. ^ A cross-sectional survey research design was used to obtain data from participants in 25 Florida School Readiness Coalitions. Pearson product-moment correlations were used to examine the association between the dependent variable, collaborative capacity for planning, and the independent variables, organizational culture and climate. Bivariate analyses revealed a significant level of association for five culture indicators to collaborative capacity for planning: motivation, interpersonal, service, supportive and individualistic indicators, and four climate indicators: cooperation, job satisfaction, organizational commitment, and role clarity. Findings suggest (a) a constructive culture and positive climate were present within the FSRCs during the period of study and (b) participants perceived that the collaborative capacity for planning existed. Hierarchical multiple regression, controlling for effects of participant demographics, were used to examine the degree to which organizational culture and climate predict collaborative capacity. The culture indicators, supportive and individualistic, and the climate indicator job satisfaction accounted for 46% of the variance in collaborative capacity for planning. No other indicators of the independent variables demonstrated significance. The findings suggests that (a) culture and climate should be studied together, (b) culture and climate are two constructs that may provide knowledge about the way community groups work together, and (c) the collaborative capacity of groups planning services such as the FSRCs may benefit through consideration of how culture and climate affect service planners' relationships, communication, and ability to achieve a mission or goal. Culture and climate may offer social workers new information about internal factors affecting the collaborative process. Further investigation of these constructs with other types of groups is warranted. ^
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This work aims to analyze, in terms of class, the social composition of the constituency of the presidential candidates of the Workers Party in 2002, 2006 and 2010 elections. Such research object is constructed from a preliminary critical debate with recent Brazilian electoral studies, especially the literature on the infl uence of social programs on voting and Singer’s formulations about the lulismo phenomenon. Incorporating advances and pointing out gaps in such research efforts, is formulated a roadmap for empirical research constituted of three key elements - the measure ment of the dimensions of class structure in Brazilian capitalism; the observation of material interests related to the constituents locations of such structure; the development of measures of association between the insertion in class groupings and indivi dual voting behavior. Based on the neo - Marxist approach of class analysis, especially as formulated by Wright, it is made an adaptation of the typology formulated by such approach (mainly developed by Santos to the Brazilian case) to the data available fro m databases of censuses of 2000 and 2010. This theoretical construct reveals that during the period considered for the analysis, the structure of class - relations in Brazil became more proletarized and consequently had a decrease of the dimensions of the de stitute class locations. In addition, it was found, in relation to the objective class interests, widespread increments of economic welfare that allowed advances in relation to the material conditions of the proletariat, without, however, incurring losses to the privileged class positions. Such changes in the structural sphere focused in various ways on the political arena. Based on an adaptation to electoral analysis of the concept of "class formation", also formulated by Wright, associated with the use of techniques of ecological inference (especially those proposed by King and associates), it was possible to draw up an overview of class voting in period studied. As main results, three general patterns of individual voting behavior, related to each of the three analyzed class groupings were identified - a contraposition against PT candidates, by voters in privileged class locations; the adhesion, recurring throughout the study period, of workers to Lula and Dilma Rousseff; a favorable electoral shift unde rtaken by economically deprived voters in favor of those candidatures in the 2006 election.
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Base excision repair (BER) and nucleotide excision repair (NER) pathways play critical role in maintaining genome integrity. Polymorphisms in BER and NER genes which modulate the DNA repair capacity may affect the susceptibility and prognosis of oral cancer. This study was conducted with genomic DNA from 92 patients with oral squamous cell carcinomas (OSCC) and 130 controls. The cases were followed up to explore the associations between BER and NER genes polymorphisms and the risk and prognosis of OSCC. Four single-nucleotide polymorphisms (SNPs) in XRCC1 (rs25487), APEX1 (rs1130409), XPD (rs13181) and XPF (rs1799797) genes were tested by polymerase chain reaction – quantitative real time method. The GraphPad Prism version 6.0.1 statistical software was applied for statistical analysis of association. Odds ratio (OR), hazard ratio (HR), and their 95 % confidence intervals (CIs) were calculated by logistic regression. Kaplan-Meier curve and Cox proportional hazard model were used for prognostic analysis. The presence of polymorphic variants in XRCC1, APEX1, XPD and XPF genes were not associated with an increased risk of OSCC. Gene-environment interactions with smoking were not significant for any polymorphism. The presence of polymorphic variants of the XPD gene in association with alcohol consumption conferred an increased risk of 1.86 (95% CI: 0.86 – 4.01, p=0.03) for OSCC. Only APEX1 was associated with decreased specific survival (HR 3.94, 95% CI: 1.31 – 11.88, p=0.01). These results suggest an interaction between polymorphic variants of the XPF gene and alcohol consumption. Additionally APEX1 may represent a prognostic marker for OSCC.