132 resultados para Categories
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Background: Previous studies have shown that immigrant workers face relatively worse working and employment conditions, as well as lower rates of sickness absence than native-born workers. This study aims to assess rates of sickness presenteeism in a sample of Spanish-born and foreign-born workers according to different characteristics. Methods: A cross-sectional survey was conducted amongst a convenience sample of workers (Spanish-born and foreign-born), living in four Spanish cities: Barcelona, Huelva, Madrid and Valencia (2008-2009). Sickness presenteeism information was collected through two items in the questionnaire ("Have you had health problems in the last year?" and "Have you ever had to miss work for any health problem?") and was defined as worker who had a health problem (answered yes, first item) and had not missed work (answered no, second item). For the analysis, the sample of 2,059 workers (1,617 foreign-born) who answered yes to health problems was included. After descriptives, logistic regressions were used to establish the association between origin country and sickness presenteeism (adjusted odds ratios aOR; 95% confidence interval 95%CI). Analyses were stratified per time spent in Spain among foreign-born workers. Results: All of the results refer to the comparison between foreign-born and Spanish-born workers as a whole, and in some categories relating to personal and occupational conditions. Foreign-born workers were more likely to report sickness presenteeism compared with their Spanish-born counterparts, especially those living in Spain for under 2 years [Prevalence: 42% in Spanish-born and 56.3% in Foreign-born; aOR 1.77 95%CI 1.24-2.53]. In case of foreign-born workers (with time in Spain < 2 years), men [aOR 2.31 95%CI 1.40-3.80], those with university studies [aOR 3.01 95%CI 1.04-8.69], temporary contracts [aOR 2.26 95%CI 1.29-3.98] and salaries between 751-1,200€ per month [aOR 1.74 95% CI 1.04-2.92] were more likely to report sickness presenteeism. Also, recent immigrants with good self-perceived health and good mental health were more likely to report presenteeism than Spanish-born workers with the same good health indicators. Conclusions: Immigrant workers report more sickness presenteeism than their Spanish-born counterparts. These results could be related to precarious work and employment conditions of immigrants. Immigrant workers should benefit from the same standards of social security, and of health and safety in the workplace that are enjoyed by Spanish workers.
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Background: The GENCODE consortium was formed to identify and map all protein-coding genes within the ENCODE regions. This was achieved by a combination of initial manualannotation by the HAVANA team, experimental validation by the GENCODE consortium and a refinement of the annotation based on these experimental results.Results: The GENCODE gene features are divided into eight different categories of which onlythe first two (known and novel coding sequence) are confidently predicted to be protein-codinggenes. 5’ rapid amplification of cDNA ends (RACE) and RT-PCR were used to experimentallyverify the initial annotation. Of the 420 coding loci tested, 229 RACE products have beensequenced. They supported 5’ extensions of 30 loci and new splice variants in 50 loci. In addition,46 loci without evidence for a coding sequence were validated, consisting of 31 novel and 15putative transcripts. We assessed the comprehensiveness of the GENCODE annotation byattempting to validate all the predicted exon boundaries outside the GENCODE annotation. Outof 1,215 tested in a subset of the ENCODE regions, 14 novel exon pairs were validated, only twoof them in intergenic regions.Conclusions: In total, 487 loci, of which 434 are coding, have been annotated as part of theGENCODE reference set available from the UCSC browser. Comparison of GENCODEannotation with RefSeq and ENSEMBL show only 40% of GENCODE exons are contained withinthe two sets, which is a reflection of the high number of alternative splice forms with uniqueexons annotated. Over 50% of coding loci have been experimentally verified by 5’ RACE forEGASP and the GENCODE collaboration is continuing to refine its annotation of 1% humangenome with the aid of experimental validation.
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Backgroud: Household service work has been largely absent from occupational health studies. We examine the occupational hazards and health effects identified by immigrant women household service workers. Methods: Exploratory, descriptive study of 46 documented and undocumented immigrant women in household services in Spain, using a phenomenological approach. Data were collected between September 2006 and May 2007 through focus groups and semi-structured individual interviews. Data were separated for analysis by documentation status and sorted using a mixed-generation process. In a second phase of analysis, data on psychosocial hazards were organized using the Copenhagen Psychosocial Questionnaire as a guide. Results: Informants reported a number of environmental, ergonomic and psychosocial hazards and corresponding health effects. Psychosocial hazards were especially strongly present in data. Data on reported hazards were similar by documentation status and varied by several emerging categories: whether participants were primarily cleaners or carers and whether they lived in or outside of the homes of their employers. Documentation status was relevant in terms of empowerment and bargaining, but did not appear to influence work tasks or exposure to hazards directly. Conclusions:Female immigrant household service workers are exposed to a variety of health hazards that could be acted upon by improved legislation, enforcement, and preventive workplace measures, which are discussed.
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Background: Different regions in a genome evolve at different rates depending on structural and functional constraints. Some genomic regions are highly conserved during metazoan evolution, while other regions may evolve rapidly, either in all species or in a lineage-specific manner. A strong or even moderate change in constraints in functional regions, for example in coding regions, can have significant evolutionary consequences. Results: Here we discuss a novel framework, 'BaseDiver', to classify groups of genes in humans based on the patterns of evolutionary constraints on polymorphic positions in their coding regions. Comparing the nucleotide-level divergence among mammals with the extent of deviation from the ancestral base in the human lineage, we identify patterns of evolutionary pressure on nonsynonymous base-positions in groups of genes belonging to the same functional category. Focussing on groups of genes in functional categories, we find that transcription factors contain a significant excess of nonsynonymous base-positions that are conserved in other mammals but changed in human, while immunity related genes harbour mutations at base-positions that evolve rapidly in all mammals including humans due to strong preference for advantageous alleles. Genes involved in olfaction also evolve rapidly in all mammals, and in humans this appears to be due to weak negative selection. Conclusion: While recent studies have identified genes under positive selection in humans, our approach identifies evolutionary constraints on Gene Ontology groups identifying changes in humans relative to some of the other mammals.
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Background: The objective of the present study was to compare three different sampling and questionnaire administration methods used in the international KIDSCREEN study in terms of participation, response rates, and external validity. Methods: Children and adolescents aged 8–18 years were surveyed in 13 European countries using either telephone sampling and mail administration, random sampling of school listings followed by classroom or mail administration, or multistage random sampling of communities and households with self-administration of the survey materials at home. Cooperation, completion, and response rates were compared across countries and survey methods. Data on non-respondents was collected in 8 countries. The population fraction (PF, respondents in each sex-age, or educational level category, divided by the population in the same category from Eurostat census data) and population fraction ratio (PFR, ratio of PF) and their corresponding 95% confidence intervals were used to analyze differences by country between the KIDSCREEN samples and a reference Eurostat population. Results: Response rates by country ranged from 18.9% to 91.2%. Response rates were highest in the school-based surveys (69.0%–91.2%). Sample proportions by age and gender were similar to the reference Eurostat population in most countries, although boys and adolescents were slightly underrepresented (PFR <1). Parents in lower educational categories were less likely to participate (PFR <1 in 5 countries). Parents in higher educational categories were overrepresented when the school and household sampling strategies were used (PFR = 1.78–2.97). Conclusion: School-based sampling achieved the highest overall response rates but also produced slightly more biased samples than the other methods. The results suggest that the samples were sufficiently representative to provide reference population values for the KIDSCREEN instrument.
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Aquest article conté una proposta per a la representació de les estructures predicatives (és a dir, dels predicats amb els seus arguments) en els formalismes basats en estructures de trets tipificades. L’article comença amb una discussió dels objectius i del nivell de descripció de la representació que es proprosa; i després se centra en una exemplificació minuciosa de les estructures predicatives de totes les categories majors (verbs, adjectius, preposicions i noms), així com d’algunes relacions de modificació.
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La informació gramatical més habitual de les entrades en un diccionari es basa quasi exclusivament en consignar la categoria sintàctica dels mots. Aquest plantejament suposa una parcel·lació massa vaga de les unitats lingüístiques, atès que en l'ús i la combinació entre elles hi entren en joc altres característiques, les quals porten a subclassificacions més precises a l'interior de les categories gramaticals. Un plantejament lexicogràfic que presenti un tractament detallat de les categories quant a les seves subclasses possibles és, a més d'útil en l'elaboració de diccionaris per a parlants de llengua estrangera, necessari també en diccionaris per a parlants natius de la llengua si, tal com és de suposar, l'ús que s'espera d'un diccionari va més enllà de la simple consulta del significat dels mots.En aquest article s'analitzen alguns dels punts que cal que els diccionaris tinguin en compte per a la descripció de l'ús real dels adjectius, es revisa quin és el tractament que reben en el diccionari pres com a font de referència (Diccionari de la Llengua Catalana (1994), d'Enciclopèdia Catalana) i s'esbossa una proposta de tractament per poder donar compte d'aquests aspectes. L'interès recau tant en qüestions d'ordre superficial dels constituents (la posició típica de les unitats), com aspectes sintàctics (la capacitat predicativa dels elements, la subcategorització de complements), així com també aspectes de tipus semàntic (la relació entre les denotacions de l'adjectiu i el substantiu, la facultat de graduabilitat dels adjectius).
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Un dels principals motius que ens va impulsar en l’elecció del tema és que es tracta d’untema que pot despertar curiositat entre la població.Un altre motiu, es que varem trobar que està íntimament relacionat amb els estudis queestem cursant, donat que afecta als pressupostos de l’estat i a la seva restricciópressupostària, i per tant, està directament relacionat amb la macroeconomia. En el nostrecas, reduirem l’àmbit d’estudi al territori català, de manera que estudiarem aquestes duesmalalties dins la despesa en sanitat pública catalana. A demés, estan finançades amb elsnostres impostos, i per tant la seva despesa afecta a la restricció pressupostària delsciutadans.L’elecció d’aquestes malalties no ha estat feta a l’atzar. Inicialment, varem pensar enestudiar els costos dels interns penitenciaris que patien aquestes malalties. Com que laSIDA i d’hepatitis C són les malalties més freqüents dins la presó, i les que tenen unscostos més característics donada la complexitat dels seus tractaments, varem pensar queserien prou representatives.No obstant, a mesura que ens anàvem endinsant en el tema, ens varem adonar que tambéseria molt interessant comparar el cost de les malalties amb el de les persones no recluses, iesbrinar si hi havia algun tipus de cost diferencial. És per això que varem decidir analitzaraquestes dues malalties tant dins com fora.Un altre factor que ens ha impulsat en l’elecció del tema és el fet que el nombre d’interns ales presons té un ritme de creixement constant que s’ha accelerat en els últims anys,sobretot degut a l’augment de la immigració. Això implica un augment progressiu de ladespesa, que es tradueix en una necessitat d’ingressos majors per tal de poder equilibrar larestricció de la qual parlàvem abans.També varem voler anar una mica més lluny i analitzar el pes d’aquestes malalties dins dela despesa que la generalitat ha establert per a la sanitat pública. Com les dues son MDO (malalties de declaració obligatòria ) estan finançades completament pel sector públic.L’objectiu era veure si representaven un cost tant elevat com pensàvem.OBJECTIUS DEL TREBALL:· Demostrar l’elevat cost que suposen certes malalties per l’estat.· Manifestar els canvis en el cost de les malalties amb l’evolució delstractaments.· Analitzar els costos sanitaris extres que es produeixen a les presons.· Destacar l’augment accelerat del nombre d’interns i l’augment del cost sanitarique això suposa. METODOLOGIA: Per tal de poder realitzar l’estudi comparatiu, hem hagut de calcular manualment els costosde les malalties, tot informant-nos del preu dels medicament, les dosis, el cost de lesconsultes externes,etc. A més, per a calcular el cost del tractament dins la presó, ens hemhagut d’informar dels aspectes més generals que envolten a un pres, per poder veure sirealment existeix un cost diferencial respecte la malaltia a l’exterior. Per obtenir aquestesdiverses informacions, ens hem hagut de posar en contacte amb el personal que treballa ala presó que hem pres com a model d’estudi.Així, podem dividir les nostres fonts d’informació en 3 categories:• Obtenció d’informació directament amb el personal de la presó:– Entrevista amb la directora d’infermeria de la Secretaria de ServeisPenitenciaris, Rehabilitació i Justícia Juvenil– Entrevista amb la Cap d’infermeria del Centre Quatre Camins.• Informació a partir de mostres facilitades pels propis funcionaris de la presó• Informació a partir d’estudis sobre el tema i de dades oficials, concretament lesdades oficials sobre els Pressupostos de la Generalitat.
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Biplots are graphical displays of data matrices based on the decomposition of a matrix as the product of two matrices. Elements of these two matrices are used as coordinates for the rows and columns of the data matrix, with an interpretation of the joint presentation that relies on the properties of the scalar product. Because the decomposition is not unique, there are several alternative ways to scale the row and column points of the biplot, which can cause confusion amongst users, especially when software packages are not united in their approach to this issue. We propose a new scaling of the solution, called the standard biplot, which applies equally well to a wide variety of analyses such as correspondence analysis, principal component analysis, log-ratio analysis and the graphical results of a discriminant analysis/MANOVA, in fact to any method based on the singular-value decomposition. The standard biplot also handles data matrices with widely different levels of inherent variance. Two concepts taken from correspondence analysis are important to this idea: the weighting of row and column points, and the contributions made by the points to the solution. In the standard biplot one set of points, usually the rows of the data matrix, optimally represent the positions of the cases or sample units, which are weighted and usually standardized in some way unless the matrix contains values that are comparable in their raw form. The other set of points, usually the columns, is represented in accordance with their contributions to the low-dimensional solution. As for any biplot, the projections of the row points onto vectors defined by the column points approximate the centred and (optionally) standardized data. The method is illustrated with several examples to demonstrate how the standard biplot copes in different situations to give a joint map which needs only one common scale on the principal axes, thus avoiding the problem of enlarging or contracting the scale of one set of points to make the biplot readable. The proposal also solves the problem in correspondence analysis of low-frequency categories that are located on the periphery of the map, giving the false impression that they are important.
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When continuous data are coded to categorical variables, two types of coding are possible: crisp coding in the form of indicator, or dummy, variables with values either 0 or 1; or fuzzy coding where each observation is transformed to a set of "degrees of membership" between 0 and 1, using co-called membership functions. It is well known that the correspondence analysis of crisp coded data, namely multiple correspondence analysis, yields principal inertias (eigenvalues) that considerably underestimate the quality of the solution in a low-dimensional space. Since the crisp data only code the categories to which each individual case belongs, an alternative measure of fit is simply to count how well these categories are predicted by the solution. Another approach is to consider multiple correspondence analysis equivalently as the analysis of the Burt matrix (i.e., the matrix of all two-way cross-tabulations of the categorical variables), and then perform a joint correspondence analysis to fit just the off-diagonal tables of the Burt matrix - the measure of fit is then computed as the quality of explaining these tables only. The correspondence analysis of fuzzy coded data, called "fuzzy multiple correspondence analysis", suffers from the same problem, albeit attenuated. Again, one can count how many correct predictions are made of the categories which have highest degree of membership. But here one can also defuzzify the results of the analysis to obtain estimated values of the original data, and then calculate a measure of fit in the familiar percentage form, thanks to the resultant orthogonal decomposition of variance. Furthermore, if one thinks of fuzzy multiple correspondence analysis as explaining the two-way associations between variables, a fuzzy Burt matrix can be computed and the same strategy as in the crisp case can be applied to analyse the off-diagonal part of this matrix. In this paper these alternative measures of fit are defined and applied to a data set of continuous meteorological variables, which are coded crisply and fuzzily into three categories. Measuring the fit is further discussed when the data set consists of a mixture of discrete and continuous variables.
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Considerable experimental evidence suggests that non-pecuniary motives must be addressed when modeling behavior in economic contexts. Recent models of non-pecuniary motives can be classified as either altruism- based, equity-based, or reciprocity-based. We estimate and compare leading approaches in these categories, using experimental data. We then offer a flexible approach that nests the above three approaches, thereby allowing for nested hypothesis testing and for determining the relative strength of each of the competing theories. In addition, the encompassing approach provides a functional form for utility in different settings without the restrictive nature of the approaches nested within it. Using this flexible form for nested tests, we find that intentional reciprocity, distributive concerns, and altruistic considerations all play a significant role in players' decisions.
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L’objectiu principal d’aquest projecte ha estat examinar en profunditat la proximitat perceptiva entre vocals catalanes i angleses introduint una metodologia millorada i avaluant el màxim de vocals i diftongs anglesos i catalans. L’estudi de la proximitat perceptiva entre llengües és el primer pas en tot estudi sobre adquisició del sistema fonològic. Un problema metodològic per resoldre, però, és la manera de mesurar la proximitat interlingüística. Aquest projecte ha avaluat dos tipus de tasques perceptives: la comparació directa entre estímuls vocàlics catalans i anglesos i la comparació indirecta entre estímuls no natius i representacions mentals dels sons natius. Per a dur a terme aquestes tasques s’han recollit dades de producció de parlants natius de català, a Catalunya, i de l’anglès, a Anglaterra. La selecció dels estímuls per a les tasques de similitud perceptiva s’ha fet mitjançant proves d’identificació i puntuació d’estímuls amb oients parlants natius de català i aprenents de l’anglès com a llengua estrangera. Conjuntament, els resultats de la preparació i de la implementació d’aquestes tasques representen l’estudi contrastiu i perceptiu de l’anglès i el català més complert fet fins ara, amb el major nombre de vocals i diftongs i mitjançant dues tasques de percepció complementàries i innovadores. Els resultats indiquen que algunes vocals angleses són consistentment assimilades a categories catalanes mentre que explorables en estudis posteriors. Metodològicament, proposem que els dos tipus de tasques poden servir propòsits diferents, essent una més adient com a tasca inicial i l’altre com a tasca a aplicar longitudinalment.
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Modern methods of compositional data analysis are not well known in biomedical research.Moreover, there appear to be few mathematical and statistical researchersworking on compositional biomedical problems. Like the earth and environmental sciences,biomedicine has many problems in which the relevant scienti c information isencoded in the relative abundance of key species or categories. I introduce three problemsin cancer research in which analysis of compositions plays an important role. Theproblems involve 1) the classi cation of serum proteomic pro les for early detection oflung cancer, 2) inference of the relative amounts of di erent tissue types in a diagnostictumor biopsy, and 3) the subcellular localization of the BRCA1 protein, and it'srole in breast cancer patient prognosis. For each of these problems I outline a partialsolution. However, none of these problems is \solved". I attempt to identify areas inwhich additional statistical development is needed with the hope of encouraging morecompositional data analysts to become involved in biomedical research
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The use of simple and multiple correspondence analysis is well-established in socialscience research for understanding relationships between two or more categorical variables.By contrast, canonical correspondence analysis, which is a correspondence analysis with linearrestrictions on the solution, has become one of the most popular multivariate techniques inecological research. Multivariate ecological data typically consist of frequencies of observedspecies across a set of sampling locations, as well as a set of observed environmental variablesat the same locations. In this context the principal dimensions of the biological variables aresought in a space that is constrained to be related to the environmental variables. Thisrestricted form of correspondence analysis has many uses in social science research as well,as is demonstrated in this paper. We first illustrate the result that canonical correspondenceanalysis of an indicator matrix, restricted to be related an external categorical variable, reducesto a simple correspondence analysis of a set of concatenated (or stacked ) tables. Then weshow how canonical correspondence analysis can be used to focus on, or partial out, aparticular set of response categories in sample survey data. For example, the method can beused to partial out the influence of missing responses, which usually dominate the results of amultiple correspondence analysis.
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In order to interpret the biplot it is necessary to know which points usually variables are the ones that are important contributors to the solution, and this information is available separately as part of the biplot s numerical results. We propose a new scaling of the display, called the contribution biplot, which incorporates this diagnostic directly into the graphical display, showing visually the important contributors and thus facilitating the biplot interpretation and often simplifying the graphical representation considerably. The contribution biplot can be applied to a wide variety of analyses such as correspondence analysis, principal component analysis, log-ratio analysis and the graphical results of a discriminant analysis/MANOVA, in fact to any method based on the singular-value decomposition. In the contribution biplot one set of points, usually the rows of the data matrix, optimally represent the spatial positions of the cases or sample units, according to some distance measure that usually incorporates some form of standardization unless all data are comparable in scale. The other set of points, usually the columns, is represented by vectors that are related to their contributions to the low-dimensional solution. A fringe benefit is that usually only one common scale for row and column points is needed on the principal axes, thus avoiding the problem of enlarging or contracting the scale of one set of points to make the biplot legible. Furthermore, this version of the biplot also solves the problem in correspondence analysis of low-frequency categories that are located on the periphery of the map, giving the false impression that they are important, when they are in fact contributing minimally to the solution.