930 resultados para selection methods


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Biotecnologia Animal - FMVZ

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Pós-graduação em Genética e Melhoramento Animal - FCAV

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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This study aims to analyze the implementation of mediation in the school environment of São Paulo State Education Network through the figure of Teacher School and Community Mediator (PMEC). Mediation arises, as an alternative and effective method for conflict resolution from existing interpersonal relationships at school. The methodology used was the exploratory and empirical research literature on the subject mediation and the analysis of the resolutions of the Secretariat of São Paulo State Education establishing the School Protection System (SPE) and made possible the performance of the PMEC within that environment. Authors like Bonafé-Schmitt (2010); Caetano, Freire and Ferreira (2009); Calcaterra (2002); Freire (2010); Jares (2002); Lederach (1996); Littlejohn and Domenici (1999); Morgado and Oliveira (2009); Torremorell (2008) and Vecchi and Greco (1999) were selected in order to provide greater familiarity with the subject mediation and conflict mediation later in the school environment. The concept of mediation, mediation templates and profiles of mediators will be explained as well as PMEC function features as regards the selection methods training main assisted cases, assignments that are stipulated by the guiding documents and what actually happens in daily practice verified the reports obtained through a semi-structured interview. Finally, we present the PMEC situation regarding the review by the leaders and attended school community and the acceptance of their work within that environment

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A seleção de pessoal visa a introduzir na organização os candidatos mais apropriados as suas necessidades. Existe uma carência de literatura behaviorista radical acerca desse tema, sendo necessário o desenvolvimento de trabalhos que orientem atuações coerentes com essa teoria. O objetivo deste estudo é discutir os métodos utilizados na seleção à luz dos pressupostos conceituais do behaviorismo radical. Os métodos de seleção existentes são analisados e discutidos em termos de aumento do controle das variáveis presentes no contexto da seleção a fim de proceder à identificação dos repertórios comportamentais dos candidatos. Propõe-se uma análise de cargo baseada nos conceitos behavioristas, discute-se a possibilidade de condução de entrevistas de seleção focadas no comportamento bem como o uso de técnicas de simulação que permitam a identificação de repertórios comportamentais. Conclui-se que é necessário desenvolver discussões teóricas e instrumentos operacionais facilitadores de uma prática psicológica vinculada aos pressupostos behavioristas radicais.

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This study aims to analyze the implementation of mediation in the school environment of São Paulo State Education Network through the figure of Teacher School and Community Mediator (PMEC). Mediation arises, as an alternative and effective method for conflict resolution from existing interpersonal relationships at school. The methodology used was the exploratory and empirical research literature on the subject mediation and the analysis of the resolutions of the Secretariat of São Paulo State Education establishing the School Protection System (SPE) and made possible the performance of the PMEC within that environment. Authors like Bonafé-Schmitt (2010); Caetano, Freire and Ferreira (2009); Calcaterra (2002); Freire (2010); Jares (2002); Lederach (1996); Littlejohn and Domenici (1999); Morgado and Oliveira (2009); Torremorell (2008) and Vecchi and Greco (1999) were selected in order to provide greater familiarity with the subject mediation and conflict mediation later in the school environment. The concept of mediation, mediation templates and profiles of mediators will be explained as well as PMEC function features as regards the selection methods training main assisted cases, assignments that are stipulated by the guiding documents and what actually happens in daily practice verified the reports obtained through a semi-structured interview. Finally, we present the PMEC situation regarding the review by the leaders and attended school community and the acceptance of their work within that environment

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Use of microarray technology often leads to high-dimensional and low- sample size data settings. Over the past several years, a variety of novel approaches have been proposed for variable selection in this context. However, only a small number of these have been adapted for time-to-event data where censoring is present. Among standard variable selection methods shown both to have good predictive accuracy and to be computationally efficient is the elastic net penalization approach. In this paper, adaptation of the elastic net approach is presented for variable selection both under the Cox proportional hazards model and under an accelerated failure time (AFT) model. Assessment of the two methods is conducted through simulation studies and through analysis of microarray data obtained from a set of patients with diffuse large B-cell lymphoma where time to survival is of interest. The approaches are shown to match or exceed the predictive performance of a Cox-based and an AFT-based variable selection method. The methods are moreover shown to be much more computationally efficient than their respective Cox- and AFT- based counterparts.

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BACKGROUND: Multislice computed tomography (MSCT) is a promising noninvasive method of detecting coronary artery disease (CAD). However, most data have been obtained in selected series of patients. The purpose of the present study was to investigate the accuracy of 64-slice MSCT (64 MSCT) in daily practice, without any patient selection. METHODS AND RESULTS: Using 64-slice MSCT coronary angiography (CTA), 69 consecutive patients, 39 (57%) of whom had previously undergone stent implantation, were evaluated. The mean heart rate during scan was 72 beats/min, scan time 13.6 s and the amount of contrast media 72 mL. The mean time span between invasive coronary angiography (ICAG) and CTA was 6 days. Significant stenosis was defined as a diameter reduction of > 50%. Of 966 segments, 884 (92%) were assessable. Compared with ICAG, the sensitivity of CTA to diagnose significant stenosis was 90%, specificity 94%, positive predictive value (PPV) 89% and negative predictive value (NPV) 95%. With regard to 58 stented lesions, the sensitivity, specificity, PPV and NPV were 93%, 96%, 87% and 98%, respectively. On the patient-based analysis, the sensitivity, specificity, PPV and NPV of CTA to detect CAD were 98%, 86%, 98% and 86%, respectively. Eighty-two (8%) segments were not assessable because of irregular rhythm, calcification or tachycardia. CONCLUSION: Sixty-four-MSCT has a high accuracy for the detection of significant CAD in an unselected patient population and therefore can be considered as a valuable noninvasive technique.

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Three-dimensional flow visualization plays an essential role in many areas of science and engineering, such as aero- and hydro-dynamical systems which dominate various physical and natural phenomena. For popular methods such as the streamline visualization to be effective, they should capture the underlying flow features while facilitating user observation and understanding of the flow field in a clear manner. My research mainly focuses on the analysis and visualization of flow fields using various techniques, e.g. information-theoretic techniques and graph-based representations. Since the streamline visualization is a popular technique in flow field visualization, how to select good streamlines to capture flow patterns and how to pick good viewpoints to observe flow fields become critical. We treat streamline selection and viewpoint selection as symmetric problems and solve them simultaneously using the dual information channel [81]. To the best of my knowledge, this is the first attempt in flow visualization to combine these two selection problems in a unified approach. This work selects streamline in a view-independent manner and the selected streamlines will not change for all viewpoints. My another work [56] uses an information-theoretic approach to evaluate the importance of each streamline under various sample viewpoints and presents a solution for view-dependent streamline selection that guarantees coherent streamline update when the view changes gradually. When projecting 3D streamlines to 2D images for viewing, occlusion and clutter become inevitable. To address this challenge, we design FlowGraph [57, 58], a novel compound graph representation that organizes field line clusters and spatiotemporal regions hierarchically for occlusion-free and controllable visual exploration. We enable observation and exploration of the relationships among field line clusters, spatiotemporal regions and their interconnection in the transformed space. Most viewpoint selection methods only consider the external viewpoints outside of the flow field. This will not convey a clear observation when the flow field is clutter on the boundary side. Therefore, we propose a new way to explore flow fields by selecting several internal viewpoints around the flow features inside of the flow field and then generating a B-Spline curve path traversing these viewpoints to provide users with closeup views of the flow field for detailed observation of hidden or occluded internal flow features [54]. This work is also extended to deal with unsteady flow fields. Besides flow field visualization, some other topics relevant to visualization also attract my attention. In iGraph [31], we leverage a distributed system along with a tiled display wall to provide users with high-resolution visual analytics of big image and text collections in real time. Developing pedagogical visualization tools forms my other research focus. Since most cryptography algorithms use sophisticated mathematics, it is difficult for beginners to understand both what the algorithm does and how the algorithm does that. Therefore, we develop a set of visualization tools to provide users with an intuitive way to learn and understand these algorithms.

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In this thesis, I study skin lesion detection and its applications to skin cancer diagnosis. A skin lesion detection algorithm is proposed. The proposed algorithm is based color information and threshold. For the proposed algorithm, several color spaces are studied and the detection results are compared. Experimental results show that YUV color space can achieve the best performance. Besides, I develop a distance histogram based threshold selection method and the method is proven to be better than other adaptive threshold selection methods for color detection. Besides the detection algorithms, I also investigate GPU speed-up techniques for skin lesion extraction and the results show that GPU has potential applications in speeding-up skin lesion extraction. Based on the skin lesion detection algorithms proposed, I developed a mobile-based skin cancer diagnosis application. In this application, the user with an iPhone installed with the proposed application can use the iPhone as a diagnosis tool to find the potential skin lesions in a persons' skin and compare the skin lesions detected by the iPhone with the skin lesions stored in a database in a remote server.

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Modified nucleoside triphosphates (dA(Hs)TP, dU(POH)TP, and dC(Val)TP) bearing imidazole, hydroxyl, and carboxylic acid residues connected to the purine and pyrimidine bases through alkyne linkers were prepared. These modified dN*TPs were excellent substrates for various DNA polymerases in primer extension reactions. Moreover, the combined use of terminal deoxynucleotidyl transferase (TdT) and the modified dNTPs led to efficient tailing reactions that rival those of natural counterparts. Finally, the triphosphates were tolerated by polymerases under PCR conditions, and the ensuing modified oligonucleotides served as templates for the regeneration of unmodified DNA. Thus, these modified dN*TPs are fully compatible with in vitro selection methods and can be used to develop artificial peptidases based on DNA.

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Deoxyribozymes or DNAzymes are single-stranded catalytic DNA molecules that are obtained by combinatorial in vitro selection methods. Initially conceived to function as gene silencing agents, the scope of DNAzymes has rapidly expanded into diverse fields, including biosensing, diagnostics, logic gate operations, and the development of novel synthetic and biological tools. In this review, an overview of all the different chemical reactions catalyzed by DNAzymes is given with an emphasis on RNA cleavage and the use of non-nucleosidic substrates. The use of modified nucleoside triphosphates (dN*TPs) to expand the chemical space to be explored in selection experiments and ultimately to generate DNAzymes with an expanded chemical repertoire is also highlighted.