GA-based Optimization of a Fourth-order Sigma-delta Modulator for WLAN

Over-sampling sigma-delta analogue-to-digital converters (ADCs) are one of the key building blocks of state of the art wireless transceivers. In the sigma-delta modulator design the scaling coefficients determine the overall signal-to-noise ratio. Therefore, selecting the optimum value of the coefficient is very important. To this end, this paper addresses the design of a fourthorder multi-bit sigma-delta modulator for Wireless Local Area Networks (WLAN) receiver with feed-forward path and the optimum coefficients are selected using genetic algorithm (GA)- based search method. In particular, the proposed converter makes use of low-distortion swing suppression SDM architecture which is highly suitable for low oversampling ratios to attain high linearity over a wide bandwidth. The focus of this paper is the identification of the best coefficients suitable for the proposed topology as well as the optimization of a set of system parameters in order to achieve the desired signal-to-noise ratio. GA-based search engine is a stochastic search method which can find the optimum solution within the given constraints.

Model Selection in Summary Evaluation

A difficulty in the design of automated text summarization algorithms is in the objective evaluation. Viewing summarization as a tradeoff between length and information content, we introduce a technique based on a hierarchy of classifiers to rank, through model selection, different summarization methods. This summary evaluation technique allows for broader comparison of summarization methods than the traditional techniques of summary evaluation. We present an empirical study of two simple, albeit widely used, summarization methods that shows the different usages of this automated task-based evaluation system and confirms the results obtained with human-based evaluation methods over smaller corpora.

Estado situacional de los modelos basados en agentes y su impacto en la investigación organizacional

En un mundo hiperconectado, dinámico y cargado de incertidumbre como el actual, los métodos y modelos analíticos convencionales están mostrando sus limitaciones. Las organizaciones requieren, por tanto, herramientas útiles que empleen tecnología de información y modelos de simulación computacional como mecanismos para la toma de decisiones y la resolución de problemas. Una de las más recientes, potentes y prometedoras es el modelamiento y la simulación basados en agentes (MSBA). Muchas organizaciones, incluidas empresas consultoras, emplean esta técnica para comprender fenómenos, hacer evaluación de estrategias y resolver problemas de diversa índole. Pese a ello, no existe (hasta donde conocemos) un estado situacional acerca del MSBA y su aplicación a la investigación organizacional. Cabe anotar, además, que por su novedad no es un tema suficientemente difundido y trabajado en Latinoamérica. En consecuencia, este proyecto pretende elaborar un estado situacional sobre el MSBA y su impacto sobre la investigación organizacional.

Using problem-based learning for introducing producer theory and market structure in intermediate microeconomics

This paper shows how instructors can use the problem‐based learning method to introduce producer theory and market structure in intermediate microeconomics courses. The paper proposes a framework where different decision problems are presented to students, who are asked to imagine that they are the managers of a firm who need to solve a problem in a particular business setting. In this setting, the instructors’ role is to provide both guidance to facilitate student learning and content knowledge on a just‐in‐time basis

Mapping fibre orientation in complex-shaped biological systems with micrometre resolution by scanning X-ray microdiffraction

A fully automated procedure to extract and to image local fibre orientation in biological tissues from scanning X-ray diffraction is presented. The preferred chitin fibre orientation in the flow sensing system of crickets is determined with high spatial resolution by applying synchrotron radiation based X-ray microbeam diffraction in conjunction with advanced sample sectioning using a UV micro-laser. The data analysis is based on an automated detection of azimuthal diffraction maxima after 2D convolution filtering (smoothing) of the 2D diffraction patterns. Under the assumption of crystallographic fibre symmetry around the morphological fibre axis, the evaluation method allows mapping the three-dimensional orientation of the fibre axes in space. The resulting two-dimensional maps of the local fibre orientations - together with the complex shape of the flow sensing system - may be useful for a better understanding of the mechanical optimization of such tissues.

Defining a framework for the evaluation of information

In any enterprise, decisions need be made during the life cycle of information about its management. This requires information evaluation to take place; a little-understood process. For evaluation support to be both effective and resource efficient, some sort of automatic or semi-automatic evaluation method would be invaluable. Such a method would require an understanding of the diversity of the contexts in which evaluation takes place so that evaluation support can have the necessary context-sensitivity. This paper identifies the dimensions influencing the information evaluation process and defines the elements that characterise them, thus providing the foundations for a context-sensitive evaluation framework.

PCR-based markers diagnostic for spring and winter seasonal growth habit in barley

Toward the ultimate goal of replacing field-based evaluation of seasonal growth habit, we describe the design and validation of a multiplex polymerase chain reaction assay diagnostic for allelic status at the barley (Hordeum vulgare ssp. vulgare L.) vernalization locus, VRN-H1 By assaying for the presence of all known insertion–deletion polymorphisms thought to be responsible for the difference between spring and winter alleles, this assay directly tests for the presence of functional polymorphism at VRN-H1 Four of the nine previously recognized VRN-H1 haplotypes (including both winter alleles) give unique profiles using this assay. The remaining five spring haplotypes share a single profile, indicative of function-altering deletions spanning, or adjacent to, the putative “vernalization critical” region of intron 1. When used in conjunction with a previously published PCR-based assay diagnostic for alleles at VRN-H2, it was possible to predict growth habit in all the 100 contemporary UK spring and winter lines analyzed in this study. This assay is likely to find application in instances when seasonal growth habit needs to be determined without the time and cost of phenotypic assessment and during marker-assisted selection using conventional and multicross population analysis.

A unified neurofuzzy model for classification

This work proposes a unified neurofuzzy modelling scheme. To begin with, the initial fuzzy base construction method is based on fuzzy clustering utilising a Gaussian mixture model (GMM) combined with the analysis of covariance (ANOVA) decomposition in order to obtain more compact univariate and bivariate membership functions over the subspaces of the input features. The mean and covariance of the Gaussian membership functions are found by the expectation maximisation (EM) algorithm with the merit of revealing the underlying density distribution of system inputs. The resultant set of membership functions forms the basis of the generalised fuzzy model (GFM) inference engine. The model structure and parameters of this neurofuzzy model are identified via the supervised subspace orthogonal least square (OLS) learning. Finally, instead of providing deterministic class label as model output by convention, a logistic regression model is applied to present the classifier’s output, in which the sigmoid type of logistic transfer function scales the outputs of the neurofuzzy model to the class probability. Experimental validation results are presented to demonstrate the effectiveness of the proposed neurofuzzy modelling scheme.

Association between serotonin 5-HT-2C receptor gene (HTR2C) polymorphisms and obesity- and mental health-related phenotypes in a large population-based cohort

OBJECTIVE: Studies have shown that common single-nucleotide polymorphisms (SNPs) in the serotonin 5-HT-2C receptor (HTR2C) are associated with antipsychotic agent-induced weight gain and the development of behavioural and psychological symptoms. We aimed to analyse whether variation in the HTR2C is associated with obesity- and mental health-related phenotypes in a large population-based cohort. METHOD: Six tagSNPs, which capture all common genetic variation in the HTR2C gene, were genotyped in 4978 men and women from the European Prospective Investigation into Cancer (EPIC)-Norfolk study, an ongoing prospective population-based cohort study in the United Kingdom. To confirm borderline significant associations, the -759C/T SNP (rs3813929) was genotyped in the remaining 16 003 individuals from the EPIC-Norfolk study. We assessed social and psychological circumstances using the Health and Life Experiences Questionnaire. Genmod models were used to test associations between the SNPs and the outcomes. Logistic regression was performed to test for association of SNPs with obesity- and mental health- related phenotypes. RESULTS: Of the six HTR2C SNPs, only the T allele of the -759C/T SNP showed borderline significant associations with higher body mass index (BMI) (0.23 kg m(-2); (95% confidence interval (CI): 0.01-0.44); P=0.051) and increased risk of lifetime major depressive disorder (MDD) (Odds ratio (OR): 1.13 (95% CI: 1.01-1.22), P=0.02). The associations between the -759C/T and BMI and lifetime MDD were independent. As associations only achieved borderline significance, we aimed to validate our findings on the -759C/T SNP in the full EPIC-Norfolk cohort (n=20 981). Although the association with BMI remained borderline significant (beta=0.20 kg m(-2); 95% CI: 0.04-0.44, P=0.09), that with lifetime MDD (OR: 1.01; 95% CI: 0.94-1.09, P=0.73) was not replicated. CONCLUSIONS: Our findings suggest that common HTR2C gene variants are unlikely to have a major role in obesity- and mental health-related traits in the general population.

Evaluation of boundary-layer type in a weather forecast model utilising long-term Doppler lidar observations

Many studies evaluating model boundary-layer schemes focus either on near-surface parameters or on short-term observational campaigns. This reflects the observational datasets that are widely available for use in model evaluation. In this paper we show how surface and long-term Doppler lidar observations, combined in a way to match model representation of the boundary layer as closely as possible, can be used to evaluate the skill of boundary-layer forecasts. We use a 2-year observational dataset from a rural site in the UK to evaluate a climatology of boundary layer type forecast by the UK Met Office Unified Model. In addition, we demonstrate the use of a binary skill score (Symmetric Extremal Dependence Index) to investigate the dependence of forecast skill on season, horizontal resolution and forecast leadtime. A clear diurnal and seasonal cycle can be seen in the climatology of both the model and observations, with the main discrepancies being the model overpredicting cumulus capped and decoupled stratocumulus capped boundary-layers and underpredicting well mixed boundary-layers. Using the SEDI skill score the model is most skillful at predicting the surface stability. The skill of the model in predicting cumulus capped and stratocumulus capped stable boundary layer forecasts is low but greater than a 24 hr persistence forecast. In contrast, the prediction of decoupled boundary-layers and boundary-layers with multiple cloud layers is lower than persistence. This process based evaluation approach has the potential to be applied to other boundary-layer parameterisation schemes with similar decision structures.

Sistema de informação de custos : o método de custeio ABC (Activity-Based Costing) como ferramenta de gestão de instituições de ensino : estudo de caso

Com a globalização do mercado e o alto nível de competitividade no setor educacional, as organizações, para manterem-se, devem ser ágeis e competentes. Neste contexto, a gestão eficiente dos recursos e a obtenção de informações precisas que apóiem a tomada de decisão dependerão, em grande parte, de um sistema de informações de custos. Este sistema deverá ter como base um método de custeio que forneça informações, a fim de atender as distintas necessidades dos gestores dos diversos níveis hierárquico e das diversas áreas de atuação. O trabalho consiste no estudo de uma metodologia de custeio aplicável a uma Instituição de Ensino Superior – IES privada, a qual atenda as três perspectivas que são fornecer informações para embasar a composição dos preços, para apoiar o processo decisório e para o planejamento e controle de gastos. Para tanto, partiu-se da pesquisa bibliográfica no levantamento do estado da arte relacionada ao tema. Com o estudo de caso buscou-se a identificação das necessidades de informações de custos, demandadas pelos gestores da IES, por meio de pesquisa qualitativa. A partir dessa identificação, as necessidades foram cruzadas com os métodos de custeio existentes, o que permitiu a identificação do método mais adequado a IES. Nesta etapa foi possível o cruzamento entre a teoria e a prática, onde foram comparados o método proposto em relação ao atual método adotado pela IES o que possibilitou a identificação das deficiências do modelo atual e suas causas. A partir disto, propõe-se uma sistemática mais adequada para apoiar a tomada de decisão, com o intuito de melhoria do desempenho da instituição. Os resultados obtidos demonstram o cumprimento do objetivo onde, considerando as necessidades de informações de custos dos gestores, o método de custeio por atividades é o mais adequado para o suporte a gestão da IES.

Auditoria operacional aplicada a sistemas municipais de saúde: um estudo a partir da experiência do Tribunal de Contas do Estado do Rio de Janeiro

This research aimed at evaluating the efficiency of a specific model of operational auditing, created to audit municipal health systems, which are part of the Sistema Único de Saúde in the State of Rio de Janeiro, the AOSMS. Thus, it attempted to find out whether they represent a valid method of auditing the performance of SUS in the State of Rio de Janeiro based on the isolated or combined utilization of efficiency and efficacy criteria, and to finalize, how the AOSMS may contribute to the improvement of the municipal management of SUS. The study is based on two references axes, as follows: criteria and paradigms of operational auditing according to what International Organization of Supreme Audit Institutions (INTOSAI) understands about this methodology and the evaluation method of health services proposed by Avedis Donabedian, based on the triad structure, process and result. The work consisted initially in verifying compatibility and evaluating potential of the parameters that constitute the AOSMS with the adopted references, in the light of the basic principles that inform the Brazilian Sistema Único de Saúde and afterwards in the submission of these parameters to the analytic categories created in this study with the intent of checking its adequacy and pertinacity to analyze public health systems. In order to reach its objective the research used the case study strategy of the TCE-RJ experience of holding operational audit in 39 municipal health systems in the State of Rio de Janeiro developed between 2000 and 2007. The result confirmed the hypothesis of the study and revealed how the AOSMS, considered as a valid methodology for its finality, may contribute for the improvement of the municipal management of SUS, reaffirming the potential of operational auditing to proceed with the evaluation of the performance of the Sistema Único de Saúde in the angle of external control, considering however that its application in Brazil, because of the external control model constitutionally adopted, must pass through due sociological reduction2.

A contribuição dos conteúdos programáticos dos cursos de graduação em administração para a implementação da cultura da excelência

O objetivo deste trabalho é analisar a contribuição dos conteúdos programáticos dos cursos de Administração para a implementação da cultura da excelência em empresas vencedoras do prêmio Qualidade RS. Este prêmio reconhece as organizações que mais se destacam na busca pela melhoria contínua do seu sistema de gestão, com base no Modelo de Excelência da Gestão (MEG). O que se propõe é a construção de um projeto político-pedagógico que esteja baseado no MEG, visando à formação de um profissional qualificado para empresas “classe mundial”. Para tanto, foram elaborados questionários, com base nos critérios e itens do MEG, para empresários e coordenadores de cursos. Foram obtidos resultados que levaram a uma nova proposta de pontuação para o método de avaliação do modelo, alterando-se os pesos relativos dos critérios. Por fim, foi proposto um novo modelo de currículo para os cursos de graduação em Administração, que permita que o aluno desenvolva a capacidade de compreensão da cultura da excelência, fundamental para o alcance da Classe Mundial nas organizações.

Uma avaliação política da política de avaliação da educação superior brasileira

We had as the problem of analysis in this research: what are the assumptions, principles and general content that based the Sistema Nacional de Avaliação da Educação Superior (SINAES). We started from the hypothesis that the general content of SINAES is essentially based on the assumptions and principles of a control/regulatory perspective of evaluation and a summative epistemology, objectivist and quantitativist, constituted by members who prioritize testing and classification of courses and institutions based on market values. The overall goal was to make a political evaluation of SINAES and the specific objectives were: a) apply the concepts of politics evaluation and meta-evaluation, b) identify the role of international organizations in education reform in the 1990s and its impact on superior education in Brazil c) redeem the concept of evaluation, especially in the field of studies in education; and d) investigate the evaluation policies of Brazilian superior education leading to SINAES. As for the technical procedures for collecting and analyzing data, the research was made with bibliography and documents, considering that it was developed by bibliographic sources and official publications. It was developed by crossing sources: texts or documents remitted to others; it was also concentrated: on the role of international organizations in educational and State reforms (in the 1990s); on the policies of evaluation of the Brazilian superior education (1980s and 1990s); on the proposal of the Comissão Especial de Avaliação (CEA); on the Law No. 10.861/2004; on the documents of CONAES; on the Decree No. 5.773/2006, and the MEC Regulatory Ordinances No. 4/2008 and No. 12/2008. It did not stop in the so called purely technical aspects, but in the ideological field itself. The research found that international organizations, notably the World Bank, played a political, intellectual and financial role determinant to the field of education, a fact that reflects in the legal framework. It was also found that the politics of evaluation of the superior education is historically marked by conflict, represented by two distinct perspectives of different natures and emphases. On one hand, the focus is on control / regulation, favoring efficiency, productivity and competitiveness benchmarking and prioritizing the punctual performance and measurement. On the other, it seeks to transform academic perspective in primarily formative / emancipatory, in order to support more institutional improvement. It was concluded that the CEA presented a conception evaluation predominantly formative and emancipatory, which emphasized the idea of system, centered around the institution and repudiated the rankings practices. In the post-formulation period, however, some of its principles were fragmenting and, gradually, the institution was giving way to the courses and the Exame Nacional de Desempenho de Estudantes (ENADE) grew in prominence. With the creation of the Conceito Preliminar de Cursos superiores (CPC) and of the Índice Geral de Cursos da Instituição de Educação Superior (IGC), it was redemeed the practice of evaluation as measurement and control, under the principles of efficiency and productivity. So, SINAES that seemed like a progressive evaluation method has assumed a setting that close resembles the Exame Nacional de Cursos (ENC-Provão). Nevertheless, the survival of institutional formative evaluation, in the superior education evaluation policies, still an issue in dispute

Comparison Between the Polymerase Chain Reaction-Based Screening and the Southern Blot Methods for Identification of Fragile X Syndrome

The fragile X syndrome (FXS), the most common cause of hereditary mental retardation, is caused by expansions of CGG repeats in the FMR1 gene. The gold-standard method to diagnose FXS is the Southern blot (SB). Because SB is laborious and costly, some adaptations in the polymerase chain reaction (PCR) method have been utilized for FXS screening. A previous PCR-based screening method for FXS identification utilizing small amounts of DNA was reported as simple and efficient. The aim of this study was to reproduce the mentioned PCR-based screening method for identification of expanded alleles of the FMR1 gene in Brazilian individuals and to investigate the efficiency of this method in comparison with SB. Utilizing the enzyme Expand Long Template PCR System, 78 individuals were investigated by that PCR-based screening method for FXS identification. Conclusive results were obtained for 75 samples. Considering all the allelic forms of FXS (normal [NL], premutation [PM], and full-mutation [FM]), the comparison of the PCR-based screening method with SB demonstrated 100% of accuracy, sensitivity, and specificity. However, when the PM and the FM were analyzed separately from each other, but together with the NL allele, the accuracy, sensitivity, and specificity decreased (to 42.9%-97.4%). We concluded that the PCR-based screening method was reproducible and capable of identifying all different FXS alleles, but because the differentiation between the PM and the FM alleles was not accurate, SB is still the gold-standard method for the molecular diagnosis of FXS.