806 resultados para Training needs analysis


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Background:Cardiovascular diseases affect people worldwide. Individuals with Down Syndrome (DS) have an up to sixteen-time greater risk of mortality from cardiovascular diseases.Objective:To evaluate the effects of aerobic and resistance exercises on blood pressure and hemodynamic variables of young individuals with DS.Methods:A total of 29 young individuals with DS participated in the study. They were divided into two groups: aerobic training (AT) (n = 14), and resistance training (TR) (n = 15). Their mean age was 15.7 ± 2.82 years. The training program lasted 12 weeks, and had a frequency of three times a week for AT and twice a week for RT. AT was performed in treadmill/ bicycle ergometer, at an intensity between 50%-70% of the HR reserve. RT comprised nine exercises with three sets of 12 repetition-maximum. Systolic blood pressure (SBP), diastolic blood pressure (DBP), mean blood pressure (MBP) and hemodynamic variables were assessed beat-to-beat using the Finometer device before/after the training program. Descriptive analysis, the Shapiro-Wilk test to check the normality of data, and the two-way ANOVA for repeated measures were used to compare pre- and post-training variables. The Pearson’s correlation coefficient was calculated to correlate hemodynamic variables. The SPSS version 18.0 was used with the significance level set at p < 0.05.Results:After twelve weeks of aerobic and/or resistance training, significant reductions in variables SBP, DBP and MBP were observed.Conclusion:This study suggests a chronic hypotensive effect of moderate aerobic and resistance exercises on young individuals with DS.

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Paper given by Chris Kennett at the European Forum: Culture, Sport and Proximity held in Almería on the 5 May 2005 and promoted by the Diputación Provincial de Almería. The paper explores the key concepts that comprise the social policy discourse related to immigration and how these relate to sports provision. The potential role for sport in the integration of immigrants is considered, as well as the risks of sports as a potentially divisive force, particularly in terms of racism. This discussion leads to the consideration of the need for intercultural dialogue through sport in order to contribute to the achievement of the sustainable integration of immigrant groups. In order to achieve this goal, research is called for into the needs of immigrant groups as a key phase in the development of sports policy.

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This paper uses a unique individual level administrative data set to analyse the participation of health professionals in the NHS after training. The data set contains information on over 1,000 dentists who received Dental Vocational Training in Scotland between 1995 and 2006. Using a dynamic nonlinear panel data model, we estimate the determinants of post-training participation. We nd there is signi cant persistence in these data and are able to show that the persistence arises from state dependence and individual heterogeneity. This finding has implications for the structure of policies designed to increase participation rates. We apply this empirical framework to assess the accuracy of predictions for workforce forecasting, and to provide a preliminary estimate of the impact of one of the recruitment and retention policies available to dentists in Scotland.

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BACKGROUND: Invasive fungal infections (IFIs) are life-threatening complications in patients with hemato-oncological malignancies, and early diagnosis is crucial for outcome. The compound 1,3-β-D-glucan (BG), a cell wall component of most fungal species, can be detected in blood during IFI. Four commercial BG antigenemia assays are available (Fungitell, Fungitec-G, Wako, and Maruha). This meta-analysis from the Third European Conference on Infections in Leukemia (ECIL-3) assessed the performance of BG assays for the diagnosis of IFI in hemato-oncological patients. METHODS: Studies reporting the performance of BG antigenemia assays for the diagnosis of IFI (European Organization for Research and Treatment of Cancer and Mycoses Study Group criteria) in hemato-oncological patients were identified. The analysis was focused on high-quality cohort studies with exclusion of case-control studies. Meta-analysis was performed by conventional meta-analytical pooling and bivariate analysis. RESULTS: Six cohort studies were included (1771 adult patients with 414 IFIs of which 215 were proven or probable). Similar performance was observed among the different BG assays. For the cutoff recommended by the manufacturer, the diagnostic performance of the BG assay in proven or probable IFI was better with 2 consecutive positive test results (diagnostic odds ratio for 2 consecutive vs one single positive results, 111.8 [95% confidence interval {CI}, 38.6-324.1] vs 16.3 [95% CI, 6.5-40.8], respectively; heterogeneity index for 2 consecutive vs one single positive results, 0% vs 72.6%, respectively). For 2 consecutive tests, sensitivity and specificity were 49.6% (95% CI, 34.0%-65.3%) and 98.9% (95% CI, 97.4%-99.5%), respectively. Estimated positive and negative predictive values for an IFI prevalence of 10% were 83.5% and 94.6%, respectively. CONCLUSIONS: Different BG assays have similar accuracy for the diagnosis of IFI in hemato-oncological patients. Two consecutive positive antigenemia assays have very high specificity, positive predictive value, and negative predictive value. Because sensitivity is low, the test needs to be combined with clinical, radiological, and microbiological findings.

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Introduction: As part of the MicroArray Quality Control (MAQC)-II project, this analysis examines how the choice of univariate feature-selection methods and classification algorithms may influence the performance of genomic predictors under varying degrees of prediction difficulty represented by three clinically relevant endpoints. Methods: We used gene-expression data from 230 breast cancers (grouped into training and independent validation sets), and we examined 40 predictors (five univariate feature-selection methods combined with eight different classifiers) for each of the three endpoints. Their classification performance was estimated on the training set by using two different resampling methods and compared with the accuracy observed in the independent validation set. Results: A ranking of the three classification problems was obtained, and the performance of 120 models was estimated and assessed on an independent validation set. The bootstrapping estimates were closer to the validation performance than were the cross-validation estimates. The required sample size for each endpoint was estimated, and both gene-level and pathway-level analyses were performed on the obtained models. Conclusions: We showed that genomic predictor accuracy is determined largely by an interplay between sample size and classification difficulty. Variations on univariate feature-selection methods and choice of classification algorithm have only a modest impact on predictor performance, and several statistically equally good predictors can be developed for any given classification problem.

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This study explores how South African Early Childhood Development (ECD) Practitioners and families meet the needs of the increasing number of children from diverse cultural backgrounds in their care. Research participants were identified through ten ECD centres located in two urban communities in the Eastern and Western Cape Provinces of South Africa. The values and attitudes held by Practitioners and families vis-à-vis cultural diversity was investigated, along with the knowledge and strategies they employ to manage cultural diversity in ECD programmes. The intercultural education model provides the necessary tools to address the challenges identified.

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Résumé La mondialisation des marchés, les mutations du contexte économique et enfin l'impact des nouvelles technologies de l'information ont obligé les entreprises à revoir la façon dont elles gèrent leurs capitaux intellectuel (gestion des connaissances) et humain (gestion des compétences). II est communément admis aujourd'hui que ceux-ci jouent un rôle particulièrement stratégique dans l'organisation. L'entreprise désireuse de se lancer dans une politique gestion de ces capitaux devra faire face à différents problèmes. En effet, afin de gérer ces connaissances et ces compétences, un long processus de capitalisation doit être réalisé. Celui-ci doit passer par différentes étapes comme l'identification, l'extraction et la représentation des connaissances et des compétences. Pour cela, il existe différentes méthodes de gestion des connaissances et des compétences comme MASK, CommonKADS, KOD... Malheureusement, ces différentes méthodes sont très lourdes à mettre en oeuvre, et se cantonnent à certains types de connaissances et sont, par conséquent, plus limitées dans les fonctionnalités qu'elles peuvent offrir. Enfin, la gestion des compétences et la gestion des connaissances sont deux domaines dissociés alors qu'il serait intéressant d'unifier ces deux approches en une seule. En effet, les compétences sont très proches des connaissances comme le souligne la définition de la compétence qui suit : « un ensemble de connaissances en action dans un contexte donné ». Par conséquent, nous avons choisi d'appuyer notre proposition sur le concept de compétence. En effet, la compétence est parmi les connaissances de l'entreprise l'une des plus cruciales, en particulier pour éviter la perte de savoir-faire ou pour pouvoir prévenir les besoins futurs de l'entreprise, car derrière les compétences des collaborateurs, se trouve l'efficacité de l'organisation. De plus, il est possible de décrire grâce à la compétence de nombreux autres concepts de l'organisation, comme les métiers, les missions, les projets, les formations... Malheureusement, il n'existe pas réellement de consensus sur la définition de la compétence. D'ailleurs, les différentes définitions existantes, même si elles sont pleinement satisfaisantes pour les experts, ne permettent pas de réaliser un système opérationnel. Dans notre approche; nous abordons la gestion des compétences à l'aide d'une méthode de gestion des connaissances. En effet, de par leur nature même, connaissance et compétence sont intimement liées et donc une telle méthode est parfaitement adaptée à la gestion des compétences. Afin de pouvoir exploiter ces connaissances et ces compétences nous avons dû, dans un premier temps, définir les concepts organisationnels de façon claire et computationnelle. Sur cette base, nous proposons une méthodologie de construction des différents référentiels d'entreprise (référentiel de compétences, des missions, des métiers...). Pour modéliser ces différents référentiels, nous avons choisi l'ontologie, car elle permet d'obtenir des définitions cohérentes et consensuelles aux concepts tout en supportant les diversités langagières. Ensuite, nous cartographions les connaissances de l'entreprise (formations, missions, métiers...) sur ces différentes ontologies afin de pouvoir les exploiter et les diffuser. Notre approche de la gestion des connaissances et de la gestion des compétences a permis la réalisation d'un outil offrant de nombreuses fonctionnalités comme la gestion des aires de mobilités, l'analyse stratégique, les annuaires ou encore la gestion des CV. Abstract The globalization of markets, the easing of economical regulation and finally the impact of new information and communication technologies have obliged firms to re-examine the way they manage their knowledge capital (knowledge management) and their human capital (competence management). It is commonly admitted that knowledge plays a slightly strategical role in the organization. The firms who want to establish one politic of management of these capitals will have to face with different problems. To manage that knowledge, a long process of capitalization must be done. That one has different steps like identification, extraction and representation of knowledge and competences. There are some different methods of knowledge management like MASK, CommonKADS or KOD. Unfortunately, those methods are very difficult to implement and are using only some types of knowledge and are consequently more limited in the functionalities they can offer. Knowledge management and competence management are two different domain where it could be interesting to unify those to one. Indeed, competence is very close than knowledge as underline this definition: "a set of knowledge in action in a specified context". We choose in our approach to rely on the concept of competence. Indeed, the competence is one of crucial knowledge in the company, particularly to avoid the loss of know-how or to prevent future needs. Because behind collaborator's competence, we can find company efficiency. Unfortunately, there is no real consensus on the definition of the concept of competence. Moreover, existing different definitions don't permit to develop an operational system. Among other key concept, we can find jobs, mission, project, and training... Moreover, we approach different problems of the competence management under the angle of the knowledge management. Indeed, knowledge and competence are closely linked. Then, we propose a method to build different company repositories (competence, jobs, projects repositories). To model those different repositories we choose ontology because it permits to obtain coherent and consensual definitions of the concepts with support of linguistics diversities too. This building repositories method coupled with this knowledge and competence management approach permitted the realization of a tool offering functionalities like mobility management, strategical analysis, yellow pages or CV management.

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Four cytotypes of Simulium exiguum occur in Ecuador, where this morphospecies is the primary vector of onchocerciasis. In this paper, we give the first full description of the banding pattern of the larval polytene chromosomes of the Quevedo cytotypes differ from the chromosomal standard sequence (of the Cayapa cytotype) by the fixed inversions IIL-5 and IIL-6. The Quevedo cytotype additionally differs from the standard and Bucay cytotypes by processing a differentiated X chromosome, wich is indicated by the inversion IIS-A. As the degree of reproductive isolation between the Bucay and Quevedo cytotypes has not yet been estabilished, they must be regarded as intraspecific variants of the same species. In fact, isoenzyme characterizations showed that the Bucay and Quevedo cytotypes are differentiated only to the extent expected of incipient species or geographical populations. Moreover, the sibiling species status previously given to the Bucay cytotype needs be reassessed, there being inadequate analysis from areas in Ecuador where Bucay occurs in sympatry with the standard Cayapa cytotype. No isoenzyme electromorphs were discovered that identified all or mostadult females of any one (cytotype-pure) collection.

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Multiplier analysis based upon the information contained in Leontief's inverse is undoubtedly part of the core of the input-output methodology and numerous applications an extensions have been developed that exploit its informational content. Nonetheless there are some implicit theoretical assumptions whose implications have perhaps not been fully assessed. This is the case of the 'excess capacity' assumption. Because of this assumption resources are available as needed to adjust production to new equilibrium states. In real world applications, however, new resources are scarce and costly. Supply constraints kick in and hence resource allocation needs to take them into account to really assess the effect of government policies. Using a closed general equilibrium model that incorporates supply constraints, we perform some simple numerical exercises and proceed to derive a 'constrained' multiplier matrix that can be compared with the standard 'unrestricted' multiplier matrix. Results show that the effectiveness of expenditure policies hinges critically on whether or not supply constraints are considered.

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In less than half a century, allergy, originally perceived as a rare disease, has become a major public health threat, today affecting the lives of more than 60 million people in Europe, and probably close to one billion worldwide, thereby heavily impacting the budgets of public health systems. More disturbingly, its prevalence and impact are on the rise, a development that has been associated with environmental and lifestyle changes accompanying the continuous process of urbanization and globalization. Therefore, there is an urgent need to prioritize and concert research efforts in the field of allergy, in order to achieve sustainable results on prevention, diagnosis and treatment of this most prevalent chronic disease of the 21st century.The European Academy of Allergy and Clinical Immunology (EAACI) is the leading professional organization in the field of allergy, promoting excellence in clinical care, education, training and basic and translational research, all with the ultimate goal of improving the health of allergic patients. The European Federation of Allergy and Airways Diseases Patients' Associations (EFA) is a non-profit network of allergy, asthma and Chronic Obstructive Pulmonary Disorder (COPD) patients' organizations. In support of their missions, the present EAACI Position Paper, in collaboration with EFA, highlights the most important research needs in the field of allergy to serve as key recommendations for future research funding at the national and European levels.Although allergies may involve almost every organ of the body and an array of diverse external factors act as triggers, there are several common themes that need to be prioritized in research efforts. As in many other chronic diseases, effective prevention, curative treatment and accurate, rapid diagnosis represent major unmet needs. Detailed phenotyping/endotyping stands out as widely required in order to arrange or re-categorize clinical syndromes into more coherent, uniform and treatment-responsive groups. Research efforts to unveil the basic pathophysiologic pathways and mechanisms, thus leading to the comprehension and resolution of the pathophysiologic complexity of allergies will allow for the design of novel patient-oriented diagnostic and treatment protocols. Several allergic diseases require well-controlled epidemiological description and surveillance, using disease registries, pharmacoeconomic evaluation, as well as large biobanks. Additionally, there is a need for extensive studies to bring promising new biotechnological innovations, such as biological agents, vaccines of modified allergen molecules and engineered components for allergy diagnosis, closer to clinical practice. Finally, particular attention should be paid to the difficult-to-manage, precarious and costly severe disease forms and/or exacerbations. Nonetheless, currently arising treatments, mainly in the fields of immunotherapy and biologicals, hold great promise for targeted and causal management of allergic conditions. Active involvement of all stakeholders, including Patient Organizations and policy makers are necessary to achieve the aims emphasized herein.

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Lung transplant recipients present an increased risk for severe complications associated with respiratory infections. We conducted a review of the literature examining the clinical relationship between viral respiratory infection and graft complications. Thirty-four studies describing the clinical impact of influenza, respiratory syncytial virus, parainfluenza, human metapneumovirus, rhinovirus, enterovirus, coronavirus, bocavirus or adenovirus were identified. The detection rate of respiratory viral infection ranged from 1.4% to 60%. Viruses were detected five times more frequently when respiratory symptoms were present [odds ratio (OR) = 4.97; 95% CI = 2.11-11.68]. Based on available observations, we could not observe an association between respiratory viral infection and acute rejection (OR = 1.35; 95% CI = 0.41-4.43). We found a pooled incidence of 18% (9/50) of bronchiolitis obliterans syndrome (BOS) in virus-positive cases compared to 11.6% (37/319) in virus-negative cases; however, limited number of BOS events did not allow to confirm the association. Our review confirms a causal relationship between respiratory viruses and respiratory symptoms, but cannot confirm a link between respiratory viruses and acute lung rejection. This is related in part to the heterogeneity and limitations of available studies. The link with BOS needs also to be reassessed in appropriate prospective studies.

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El present treball de recerca es centra en l’estudi de la programació general de l’aula en entorns inclusius. Concretament, s’ha dut a terme un estudi de cas a la comarca del Solsonès ja que les característiques demogràfiques i educatives d’aquesta comarca han facilitat la inclusió escolar de tot l’alumnat amb discapacitat a l’aula ordinària. Els principals objectius de la investigació són descriure les pràctiques de planificació general del professorat de la comarca del Solsonès que ha atès a alumnat amb necessitats educatives especials i conèixer els aspectes relacionats amb la programació didàctica que es poden millorar a partir de processos de formació permanent i assessorament. L’anàlisi de la informació recollida a través de qüestionaris realitzats al professorat del Solsonès i un grup de discussió als professionals dels serveis externs, ens ha permès conèixer les pràctiques de planificació del professorat del Solsonès i fins a quin punt són similars a bones pràctiques, com l’Ensenyament Multinivell o el Disseny Universal de l’Aprenentatge, desenvolupades en altres contextos; així com, quins són els principals problemes i dificultats amb què es troben els i les professionals a l’hora de dur a terme les programacions a l’aula.

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In vivo imaging of green fluorescent protein (GFP)-labeled neurons in the intact brain is being used increasingly to study neuronal plasticity. However, interpreting the observed changes as modifications in neuronal connectivity needs information about synapses. We show here that axons and dendrites of GFP-labeled neurons imaged previously in the live mouse or in slice preparations using 2-photon laser microscopy can be analyzed using light and electron microscopy, allowing morphological reconstruction of the synapses both on the imaged neurons, as well as those in the surrounding neuropil. We describe how, over a 2-day period, the imaged tissue is fixed, sliced and immuno-labeled to localize the neurons of interest. Once embedded in epoxy resin, the entire neuron can then be drawn in three dimensions (3D) for detailed morphological analysis using light microscopy. Specific dendrites and axons can be further serially thin sectioned, imaged in the electron microscope (EM) and then the ultrastructure analyzed on the serial images.

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PURPOSE OF REVIEW: The mechanisms involved in the formation of red blood cell (RBC) microparticles in vivo as well as during erythrocyte storage are reviewed, and the potential role of microparticles in transfusion medicine is described. RECENT FINDINGS: Microparticles release is an integral part of the erythrocyte ageing process, preventing early removal of RBCs. Proteomics analyses have outlined the key role of band 3-ankyrin anchoring complex and the occurrence of selective RBC membrane remodelling mechanisms in microparticles formation. The presence of several RBC antigens, expressed on microparticles, has been demonstrated. The potential deleterious effects of RBC microparticles in transfused recipients, including hypercoagulability, microcirculation impairment and immunosuppression, are discussed. SUMMARY: Formation and role of RBC microparticles are far from being completely understood. Combining various approaches to elucidate these mechanisms could improve blood product quality and transfusion safety. Implementation of RBC microparticles as biomarkers in the laboratory routine needs to overcome technical barriers involved in their analysis.

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Network analysis naturally relies on graph theory and, more particularly, on the use of node and edge metrics to identify the salient properties in graphs. When building visual maps of networks, these metrics are turned into useful visual cues or are used interactively to filter out parts of a graph while querying it, for instance. Over the years, analysts from different application domains have designed metrics to serve specific needs. Network science is an inherently cross-disciplinary field, which leads to the publication of metrics with similar goals; different names and descriptions of their analytics often mask the similarity between two metrics that originated in different fields. Here, we study a set of graph metrics and compare their relative values and behaviors in an effort to survey their potential contributions to the spatial analysis of networks.