925 resultados para Key feature


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Este estudo tem como objetivo principal caraterizar as práticas de GRH existentes nas grandes empresas da Cidade da Praia. Neste sentido, foi realizada uma abordagem teórica à evolução da GRH e identificadas as práticas de GRH, capazes de reconhecer nas pessoas um recurso determinante no sucesso organizacional. O presente estudo caracteriza as práticas de GRH desenvolvidas pelas empresas da nossa amostra; o grau de intervenção do departamento de recursos humanos no desenvolvimento dessas práticas. Simultaneamente, é apresentada a caracterização das empresas e do departamento de RH. A uma amostra de 40 empresas foi aplicado um inquérito por questionário que permitiu concluir que (1) as práticas mais desenvolvidas são a contratação e as práticas de remuneração direta ou económica; (2) na maioria das práticas de GRH desenvolvidas, o DRH tem um elevado grau de intervenção no desenvolvimento e implementação das práticas de GRH; (3) os responsáveis de RH não possuem formação específica na área de GRH.

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Natural selection favors the survival and reproduction of organisms that are best adapted to their environment. Selection mechanism in evolutionary algorithms mimics this process, aiming to create environmental conditions in which artificial organisms could evolve solving the problem at hand. This paper proposes a new selection scheme for evolutionary multiobjective optimization. The similarity measure that defines the concept of the neighborhood is a key feature of the proposed selection. Contrary to commonly used approaches, usually defined on the basis of distances between either individuals or weight vectors, it is suggested to consider the similarity and neighborhood based on the angle between individuals in the objective space. The smaller the angle, the more similar individuals. This notion is exploited during the mating and environmental selections. The convergence is ensured by minimizing distances from individuals to a reference point, whereas the diversity is preserved by maximizing angles between neighboring individuals. Experimental results reveal a highly competitive performance and useful characteristics of the proposed selection. Its strong diversity preserving ability allows to produce a significantly better performance on some problems when compared with stat-of-the-art algorithms.

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SummaryEwing's sarcoma family tumors (ESFT) are the second most frequent cancer of bone in adolescents and young adults. ESFT are characterized by a chromosomal translocation that involves the 5' segment of the EWSR1 gene and the 3' segment of an ets transcription factor family member gene. In 85% of cases the chromosomal translocation generates the fusion protein EWSR1-FLI-1. Recent work from our laboratory identified mesenchymal stem cells (MSC) as the putative cell of origin of ESFT and characterized a CD133+ subpopulation of ESFT cells with tumor initating and self-renewal capacity, known as cancer stem cells (CSC). MicroRNAs (miRNAs) are small non-coding RNA that regulate protein expression at the post-transcriptional level by either repressing translation or destabilizing mRNA. MiRNAs participate in several biological processes including cell proliferation and differentiation. We used miRNA expression profile comparison between MSC and ESFT cell lines and CD133+ ESFT cells and CD133" ESFT cells to investigate the role of miRNAs in ESFT pathogenesis. MiRNA expression profile comparison of MSC and ESFT cell lines identified 35 differentially expressed miRNAs. Among these was down-regulation of let-7a which results, in part, by the direct repression of let-7a-l promoter by EWSR1-FLI-1. Overexpression of let-7a in ESFT cells blocked ESFT tumorigenesis through an High-motility group AT-hook2 (HMGA2)-mediated mechanism.MiRNA profiling of CD133+ ESFT and CD 133" ESFT cells revealed a broad repression of miRNAs in CD133+ ESFT mediated by down-regulation of TARBP2, a central regulator of the miRNA maturation pathway. Down-regulation of TARBP2 in ESFT cell lines results in a miRNA expression profile reminescent of that observed in CD133+ ESFT and associated with increased tumorigenicity. Enhancement of TARBP2 activity using the antibiotic enoxacin or overexpression of miRNA-143 or miRNA-145, two targets of TARBP2, impaired ESFT CSC self-renewal and block ESFT tumorigenicity. Moreover in vivo administration of synthetic let- 7a, miRNA-143 or miRNA-145 blocks ESFT tumor growth.Thus, dysregulation of miRNA expression is a key feature in ESFT pathogenesis and restoration of their expressions might be used as a new therapeutic tool.RésuméLe sarcome d'Ewing est la deuxième tumeur osseuse la plus fréquente chez l'enfant et le jeune adolescent. Le sarcome d'Ewing est caractérisé par une translocation chromosomique qui produit une protéine de fusion EWSR1-FLI-1. Des récents travaux ont identifié les cellules mésenchymateuses souches (MSC) comme étant les cellules à l'origine du sarcome d'Ewing ainsi qu'une sous-population de cellules exprimant le marqueur CD 133, dans le sarcome d'Ewing connu comme les cellules cancéreuses souches (CSC). Ces cellules ont la capacité d'initier la croissance tumorale et possèdent des propriétés d'auto-renouvellement. Les microRNAs (miRNAs) sont de petits ARN qui ne codent pas pour des protéines et qui contrôlent l'expression des protéines en bloquant la traduction ou en dégradant l'ARNm. Les miRNAs participent à différents processus biologiques comme la prolifération et la différenciation cellulaires.Le but de ce travail est d'étudier le rôle des miRNAs dans le sarcome d'Ewing. Un profil d'expression de miRNAs entre les MSC et des lignées cellulaires de sarcome d'Ewing a mis en évidence 35 miRNAs différemment exprimés. Parmi ceux-ci, la répression de let-7a est liée à la répression directe du promoteur de let-7a-l par EWSR-FLI-1. La sur-expression de let-7a dans des lignées cellulaires de sarcome d'Ewing inhibe leur croissance tumorale. Cette inhibition de croissance tumorale est régulée par la protéine high-motility group AT-hook2 (HMGA2).Un profil d'expression de miRNAs entre les cellules du sarcome d'Ewing CD133+ et CD133" montre une sous-expression d'un grand nombre de miRNAs dans les cellules CD133+ par rapport aux cellules CD133". Cette différence d'expression de miRNAs est due à la répression du gène TARBP2 qui participe à la maturation des miRNAs. La suppression de TARBP2 dans des cellules d'Ewing induit un profil d'expression de miRNAs similaire aux cellules CD133+ du sarcome d'Ewing et augmente la tumorigenèse des lignées cellulaires. De plus l'utilisation d'enoxacin, une molécule qui augmente l'activité de TARBP2 ou la sur- expression des miRNA143 ou miRNA-145 dans les CSC du sarcome d'Ewing bloque l'auto- renouvellement des cellules et la croissance tumorale. Finalement, l'administration de let-7a, miRNA-143 ou miRNA-145, dans des souris bloque la croissance du sarcome d'Ewing. Ces résultats indiquent que la dysrégulation des miRNAs participe à la pathogenèse du sarcome d'Ewing et que les miRNAs peuvent être utilisés comme des agents thérapeutiques.

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This paper proposes a contemporaneous-threshold multivariate smooth transition autoregressive (C-MSTAR) model in which the regime weights depend on the ex ante probabilities that latent regime-specific variables exceed certain threshold values. A key feature of the model is that the transition function depends on all the parameters of the model as well as on the data. Since the mixing weights are also a function of the regime-specific innovation covariance matrix, the model can account for contemporaneous regime-specific co-movements of the variables. The stability and distributional properties of the proposed model are discussed, as well as issues of estimation, testing and forecasting. The practical usefulness of the C-MSTAR model is illustrated by examining the relationship between US stock prices and interest rates.

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Aquest projecte MQD va servir per crear nou material docent amb un suport digital per a dues assignatures – Política Comparada i Avaluació de la Gestió Pública – en dues llicenciatures diferents – Ciència Política i Periodisme – Un element clau va ser la participació dels estudiants. En ambdós casos, la forma d’ensenyar va canviar de forma substantiva ja que es va dedicar força temps a fer que els estudiants treballessin en el producte final. La principal idea al darrera d’aquesta experiència era que aprenguéssin “fent.” Una altra idea fonamental és que el seu treball es pugui ensenyar per internet a tothom que tingui interès. La utilització d’una pàgina web va donar visibilitat externa al seu treball. Els resultats es poden consultar a http://cpdp.uab.cat/politica/ i http://cpdp.uab.cat/evaluacio/. Aquesta experiència va ser inclosa en el llibre "Cap a l’EEES. Experiències docents innovadores a ciències socials i a ciències humanes" publicat per la UAB.

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This paper presents general problems and approaches for the spatial data analysis using machine learning algorithms. Machine learning is a very powerful approach to adaptive data analysis, modelling and visualisation. The key feature of the machine learning algorithms is that they learn from empirical data and can be used in cases when the modelled environmental phenomena are hidden, nonlinear, noisy and highly variable in space and in time. Most of the machines learning algorithms are universal and adaptive modelling tools developed to solve basic problems of learning from data: classification/pattern recognition, regression/mapping and probability density modelling. In the present report some of the widely used machine learning algorithms, namely artificial neural networks (ANN) of different architectures and Support Vector Machines (SVM), are adapted to the problems of the analysis and modelling of geo-spatial data. Machine learning algorithms have an important advantage over traditional models of spatial statistics when problems are considered in a high dimensional geo-feature spaces, when the dimension of space exceeds 5. Such features are usually generated, for example, from digital elevation models, remote sensing images, etc. An important extension of models concerns considering of real space constrains like geomorphology, networks, and other natural structures. Recent developments in semi-supervised learning can improve modelling of environmental phenomena taking into account on geo-manifolds. An important part of the study deals with the analysis of relevant variables and models' inputs. This problem is approached by using different feature selection/feature extraction nonlinear tools. To demonstrate the application of machine learning algorithms several interesting case studies are considered: digital soil mapping using SVM, automatic mapping of soil and water system pollution using ANN; natural hazards risk analysis (avalanches, landslides), assessments of renewable resources (wind fields) with SVM and ANN models, etc. The dimensionality of spaces considered varies from 2 to more than 30. Figures 1, 2, 3 demonstrate some results of the studies and their outputs. Finally, the results of environmental mapping are discussed and compared with traditional models of geostatistics.

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Trypanosoma cruzi acute infections often go unperceived, but one third of chronically infected individuals die of Chagas disease, showing diverse manifestations affecting the heart, intestines, and nervous systems. A common denominator of pathology in Chagas disease is the minimal rejection unit, whereby parasite-free target host cells are destroyed by immune system mononuclear effectors cells infiltrates. Another key feature stemming from T. cruzi infection is the integration of kDNA minicircles into the vertebrate host genome; horizontal transfer of the parasite DNA can undergo vertical transmission to the progeny of mammals and birds. kDNA integration-induced mutations can enter multiple loci in diverse chromosomes, generating new genes, pseudo genes and knock-outs, and resulting in genomic shuffling and remodeling over time. As a result of the juxtaposition of kDNA insertions with host open reading frames, novel chimeric products may be generated. Germ line transmission of kDNA-mutations determined the appearance of lesions in birds that are indistinguishable from those seen in Chagas disease patients. The production of tissue lesions showing typical minimal rejection units in birds' refractory to T. cruzi infection is consistent with the hypothesis that autoimmunity, likely triggered by integration-induced phenotypic alterations, plays a major role in the pathogenesis of Chagas disease.

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A key feature differentiating cooperative animal societies Is the apportionment of reproduction among individuals. Only recently have studies started to focus on intraspecific variability in the distribution of reproduction within animal societies, and the available data suggest that this variability might be greater than previously suspected. How can one account for intra-and interspecific variability in partitioning of reproduction? This Is one of the most intriguing problems in the study of social behaviour, and understanding the factors underlying this variability is one of the keys to understanding the properties of complex animal societies.

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In this review, we discuss a paradigm whereby changes in the intragraft microenvironment promote or sustain the development of chronic allograft rejection. A key feature of this model involves the microvasculature including (a) endothelial cell (EC) destruction, and (b) EC proliferation, both of which result from alloimmune leukocyte- and/or alloantibody-induced responses. These changes in the microvasculature likely create abnormal blood flow patterns and thus promote local tissue hypoxia. Another feature of the chronic rejection microenvironment involves the overexpression of vascular endothelial growth factor (VEGF). VEGF stimulates EC activation and proliferation and it has potential to sustain inflammation via direct interactions with leukocytes. In this manner, VEGF may promote ongoing tissue injury. Finally, we review how these events can be targeted therapeutically using mTOR inhibitors. EC activation and proliferation as well as VEGF-VEGFR interactions require PI-3K/Akt/mTOR intracellular signaling. Thus, agents that inhibit this signaling pathway within the graft may also target the progression of chronic rejection and thus promote long-term graft survival.

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BACKGROUND: In the Western world, a major cause of blindness is age-related macular degeneration (AMD). Recent research in angiogenesis has furthered the understanding of choroidal neovascularization, which occurs in the "wet" form of AMD. In contrast, very little is known about the mechanisms of the predominant, "dry" form of AMD, which is characterized by retinal atrophy and choroidal involution. The aim of this study is to elucidate the possible implication of the scavenger receptor CD36 in retinal degeneration and choroidal involution, the cardinal features of the dry form of AMD. METHODS AND FINDINGS: We here show that deficiency of CD36, which participates in outer segment (OS) phagocytosis by the retinal pigment epithelium (RPE) in vitro, leads to significant progressive age-related photoreceptor degeneration evaluated histologically at different ages in two rodent models of CD36 invalidation in vivo (Spontaneous hypertensive rats (SHR) and CD36-/- mice). Furthermore, these animals developed significant age related choroidal involution reflected in a 100%-300% increase in the avascular area of the choriocapillaries measured on vascular corrosion casts of aged animals. We also show that proangiogenic COX2 expression in RPE is stimulated by CD36 activating antibody and that CD36-deficient RPE cells from SHR rats fail to induce COX2 and subsequent vascular endothelial growth factor (VEGF) expression upon OS or antibody stimulation in vitro. CD36-/- mice express reduced levels of COX2 and VEGF in vivo, and COX2-/- mice develop progressive choroidal degeneration similar to what is seen in CD36 deficiency. CONCLUSIONS: CD36 deficiency leads to choroidal involution via COX2 down-regulation in the RPE. These results show a novel molecular mechanism of choroidal degeneration, a key feature of dry AMD. These findings unveil a pathogenic process, to our knowledge previously undescribed, with important implications for the development of new therapies.

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Health impact assessment (HIA) aims to incorporate people's health and wellbeing as a key feature in policy-making. Many authors believe that HIA might be systematically integrated into all decision-making processes as a way to achieve that goal. To that end, there is need to overcome a number of challenges, including the fact that Andalusia (Spain) has made HIA compulsory by law, the need for awareness of all public sectors whose decisions might have substantial impacts on health and for a methodology that would enable a comprehensive approach to health determinants and inequalities, and the training of both the public health staff and professional sectors responsible for its application. In Andalusia, a law provides mandatory and binding health impact reports for most authorisation procedures in different areas: from sectoral plans to urban planning schemes, and especially projects subject to environmental assessment. Implementation of this law has required its integration into authorisation procedures, the training of interdisciplinary working groups in public health, the preparation of technical guidelines, and the organisation of dissemination and training seminars for developers.

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Gene expression patterns are a key feature in understanding gene function, notably in development. Comparing gene expression patterns between animals is a major step in the study of gene function as well as of animal evolution. It also provides a link between genes and phenotypes. Thus we have developed Bgee, a database designed to compare expression patterns between animals, by implementing ontologies describing anatomies and developmental stages of species, and then designing homology relationships between anatomies and comparison criteria between developmental stages. To define homology relationships between anatomical features we have developed the software Homolonto, which uses a modified ontology alignment approach to propose homology relationships between ontologies. Bgee then uses these aligned ontologies, onto which heterogeneous expression data types are mapped. These already include microarrays and ESTs.

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Protozoan and helminthes are frequently associated with persistent digestive complaints, not only in returning travelers from the tropics, but also in industrialized countries. The symptoms are often more vague than those associated to bacterial or viral infections and diarrhea is not always a key feature of the clinical presentation. Three stool examinations and a full blood cells count looking for eosinophilia is the comer stone of the investigations looking for digestive parasites. This article reviews the epidemiology, clinical presentation, diagnostic and management of digestive protozoans and helminthes.

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In this paper we view bargaining and cooperation as an interaction superimposed on a strategic form game. A multistage bargaining procedure for N players, the proposer commitment procedure, is presented. It is inspired by Nash s two-player variable-threat model; a key feature is the commitment to threats. We establish links to classical cooperative game theory solutions, such as the Shapley value in the transferable utility case. However, we show that even in standard pure exchange economies the traditional coalitional function may not be adequate when utilities are not transferable.

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BACKGROUND: Synthesizing research evidence using systematic and rigorous methods has become a key feature of evidence-based medicine and knowledge translation. Systematic reviews (SRs) may or may not include a meta-analysis depending on the suitability of available data. They are often being criticised as 'secondary research' and denied the status of original research. Scientific journals play an important role in the publication process. How they appraise a given type of research influences the status of that research in the scientific community. We investigated the attitudes of editors of core clinical journals towards SRs and their value for publication.¦METHODS: We identified the 118 journals labelled as "core clinical journals" by the National Library of Medicine, USA in April 2009. The journals' editors were surveyed by email in 2009 and asked whether they considered SRs as original research projects; whether they published SRs; and for which section of the journal they would consider a SR manuscript.¦RESULTS: The editors of 65 journals (55%) responded. Most respondents considered SRs to be original research (71%) and almost all journals (93%) published SRs. Several editors regarded the use of Cochrane methodology or a meta-analysis as quality criteria; for some respondents these criteria were premises for the consideration of SRs as original research. Journals placed SRs in various sections such as "Review" or "Feature article". Characterization of non-responding journals showed that about two thirds do publish systematic reviews.¦DISCUSSION: Currently, the editors of most core clinical journals consider SRs original research. Our findings are limited by a non-responder rate of 45%. Individual comments suggest that this is a grey area and attitudes differ widely. A debate about the definition of 'original research' in the context of SRs is warranted.