908 resultados para stratified sampling
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Agronomia (Produção Vegetal) - FCAV
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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OBJETIVO: Identificar padrões alimentares e a distribuição dos mesmos, em uma amostra representativa de idosos do município de Botucatu, São Paulo.MÉTODOS: Estudo transversal, ocorrido entre março e junho de 2011, com 355 idosos cadastrados na rede básica de saúde do município, selecionados por amostragem estratificada entre as unidades de saúde. Aplicou-se um questionário de frequência alimentar e questionário sociodemográfico. Padrões alimentares foram identificados utilizando-se análise de componentes principais. Escores de consumo individual foram divididos em tercis, caracterizando a adesão baixa, moderada e alta dos indivíduos para cada padrão alimentar. Realizaram-se análises entre os tercis dos padrões alimentares e as variáveis sociodemográficas.RESULTADOS: Identificaram-se seis padrões alimentares: saudável; lanches e refeição de final de semana; frutas; light e integral; dieta branda; e tradicional. A alta adesão aos padrões saudável e frutas é atingida por indivíduos que cursaram até o primário; e a alta adesão ao padrão lanches e refeição de final de semana é mais prevalente no sexo masculino e em indivíduos com nível máximo de escolaridade. A alta adesão aos padrões light e integral e dieta branda é mais prevalente no sexo feminino, sendo este último padrão também característico de idosos em idade mais avançada.CONCLUSÃO: Identificou-se uma diversidade de padrões alimentares nessa população de idosos e o comportamento alimentar variou de acordo com as condições sociodemográficas inseridas no grupo.
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This study aimed to evaluate season, breed, number of lactations and milk production as risk factors relating to Rhipicephalus microplus infestation in dairy cows during the peripartum. Eighty-four animals were randomly selected through proportional stratified sampling. All engorged and partially engorged female R. microplus specimens measuring 4.5-8.0 mm were counted during the 5 weeks before calving, calving week and 5 weeks after calving. The peripartum had a significant effect [calving (p < 0.05; prevalence ratio (PR)= 3.12) and post calving (p < 0.05; PR = 2.02)] on R. microplus infestation. Although the average tick count was higher during the rainy season than during the dry season, there was no significant difference (p = 0.055; PR = 0.63). The average R. microplus count was significantly higher (p < 0.05; PR = 2.10) in Bos taurus animals, followed by F1 (p < 0.05; PR = 1.64) and Girolando (p < 0.05; PR = 1.39). The average R. microplus count was significantly higher (p < 0.05; PR = 0.97) in first-lactation animals, followed by those at the second, third and, fourth or subsequent lactation. Milk production showed a negative correlation with R. microplus count, such that high-production animals were significantly (p = 0.003; PR = 2.04) more vulnerable to infestation than were low-production animals. First-lactation and high-production B. taurus animals had greatest vulnerability to R. microplus infestation over the peripartum period, and constituted the at-risk group in the dairy herd.u
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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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The central objective of this dissertation was to determine the feasibility of self-completed advance directives (AD) in older persons suffering from mild and moderate stages of dementia. This was accomplished by identifying differences in ability to complete AD among elderly subjects with increasing degrees of dementia and cognitive incompetence. Secondary objectives were to describe and compare advance directives completed by elders and identified proxy decision makers. Secondary objectives were accomplished by measuring the agreement between advance directives completed by proxy and elder, and comparing that agreement across groups defined by the elder's cognitive status. This cross-sectional study employed a structured interview to elicit AD, followed by a similar interview with a proxy decision maker identified by the elder. A stratified sampling scheme recruited elders with normal cognition, mild, and moderate forms of dementia using the Mini Mental-State Exam (MMSE). The Hopkins Competency Assessment Test (HCAT) was used for evaluation of competency to make medical decisions. Analysis was conducted on "between group" (non-demented $\leftrightarrow$ mild dementia $\leftrightarrow$ moderate dementia, and competent $\leftrightarrow$ incompetent) and "within group" (elder $\leftrightarrow$ family member) variation.^ The 118 elderly subjects interviewed were generally male, Caucasian, and of low socioeconomic status. Mean age was 77. Overall, elders preferred a "trial of therapy" regarding AD rather than to "always receive the therapy". No intervention was refused outright more often than it was accepted. A test-retest of elders' AD revealed stable responses. Eleven logic checks measured appropriateness of AD responses independent of preference. No difference was found in logic error rates between elders grouped by MMSE or HCAT. Agreement between proxy and elder responses showed significant dissimilarity, indicating that proxies were not making the same medical decisions as the elders.^ Conclusions based on these data are: (1) Self reporting AD is feasible among elders showing signs of cognitive impairment and they should be given all opportunities to complete advance directives, (2) variation in preferences for advance directives in cognitively impaired elders should not be assumed to be the effects of their impairment alone, (3) proxies do not appear to forego life-prolonging interventions in the face of increasing impairment in their ward, however, their advance directives choices are frequently not those of the elder they represent. ^
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Copepods were sampled at two sampling sites off the island of São Vicente, Cape Verde Archipelago, in spring (March/April) and early summer (May/June) of 2010. The two sampling sites were located in Mindelo Bay (16.90N, 25.01W; bottom depth 22 m) and around 8 km off the town of São Pedro (16.77N, 25.12W; bottom depth 800 m). Samples were collected on board the local fishing vessel 'Sinagoga' using a WP-2 net (Hydrobios, 0.26 m**2 mouth opening, 200 µm mesh size). The net was either applied as a driftnet, drifting for 10 min in 22 to 0 m depth below the surface, or it was towed vertically with a towing speed of 0.5 m/s**1. For stratified sampling, the net was deployed in repetitive hauls from 560 to 210 m, from 210 to 80 m, and from 80 to 0 m in March/April and from 600 to 300 m, 300 to 100 m, and 100 to 0 m in May/June. Additional depth-integrated hauls were conducted from 600-0 m or 500-0 m during both field campaigns. Respiration rates of epi- and mesopelagic calanoid copepods were measured in the land-based laboratory at the Instituto Nacional de Desenvolvimento das Pescas (INDP) in Mindelo. Oxygen consumption was measured non-invasively by optode respirometry at three different ambient temperatures (13, 18, and 23°C) with a 10-channel oxygen respirometer (Oxy-10 Mini, PreSens Precision Sensing GmbH, Regensburg, Germany). All experiments were run in darkness in temperature-controlled incubators (LMS Cooled Incubator Series 1A, Model 280) equipped with water baths to ensure constant temperatures throughout the experiments, tolerating a variation of ±1°C.
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La estimación de la biomasa de la vegetación terrestre en bosque tropical no sólo es un área de investigación en rápida expansión, sino también es un tema de gran interés para reducir las emisiones de carbono asociadas a la deforestación y la degradación forestal (REDD+). Las estimaciones de densidad de carbono sobre el suelo (ACD) en base a inventarios de campo y datos provenientes de sensores aerotransportados, en especial con sensores LiDAR, han conducido a un progreso sustancial en el cartografiado a gran escala de las reservas de carbono forestal. Sin embargo, estos mapas de carbono tienen incertidumbres considerables, asociadas generalmente al proceso de calibración del modelo de regresión utilizado para producir los mapas. En esta tesis se establece una metodología para la calibración y validación de un modelo general de estimación de ACD usando LiDAR en un sector del Parque Nacional Yasuní en Ecuador. En el proceso de calibración del modelo se considera el tamaño y la ubicación de las parcelas, la influencia de la topografía y la distribución espacial de la biomasa. Para el análisis de los datos se utilizan técnicas geoestadísticas en combinación con variables geomorfométricas derivadas de datos LiDAR, y se propone un esquema de muestreo estratificado por posiciones topográficas (valle, ladera y cima). La validación del modelo general para toda la zona de estudio presentó valores de RMSE = 5.81 Mg C ha-1, R2 = 0.94 y sesgo = 0.59, mientras que, al considerar las posiciones topográficas, el modelo presentó valores de RMSE = 1.67 Mg C ha-1, R2 = 0.98 y sesgo = 0.23 para el valle; RMSE = 3.13 Mg C ha-1, R2 = 0.98 y sesgo = - 0.34 para la ladera; y RMSE = 2.33 Mg C ha-1, R2 = 0.97 y sesgo = 0.74 para la cima. Los resultados obtenidos demuestran que la metodología de muestreo estratificado por posiciones topográficas propuesto, permite calibrar de manera efectiva el modelo general con las estimaciones de ACD en campo, logrando reducir el RMSE y el sesgo. Los resultados muestran el potencial de los datos LiDAR para caracterizar la estructura vertical de la vegetación en un bosque altamente diverso, permitiendo realizar estimaciones precisas de ACD, y conocer patrones espaciales continuos de la distribución de la biomasa aérea y del contenido de carbono en la zona de estudio. ABSTRACT Estimating biomass of terrestrial vegetation in tropical forest is not only a rapidly expanding research area, but also a subject of tremendous interest for reducing carbon emissions associated with deforestation and forest degradation (REDD+). The aboveground carbon density estimates (ACD) based on field inventories and airborne sensors, especially LiDAR sensors have led to a substantial progress in large-scale mapping of forest carbon stocks. However, these carbon maps have considerable uncertainties generally associated with the calibration of the regression model used to produce these maps. This thesis establishes a methodology for calibrating and validating a general ACD estimation model using LiDAR in Ecuador´s Yasuní National Park. The size and location of the plots are considered in the model calibration phase as well as the influence of topography and spatial distribution of biomass. Geostatistical analysis techniques are used in combination with geomorphometrics variables derived from LiDAR data, and then a stratified sampling scheme considering topographic positions (valley, slope and ridge) is proposed. The validation of the general model for the study area showed values of RMSE = 5.81 Mg C ha-1, R2 = 0.94 and bias = 0.59, while considering the topographical positions, the model showed values of RMSE = 1.67 Mg C ha-1, R2 = 0.98 and bias = 0.23 for the valley; RMSE = 3.13 Mg C ha-1, R2 = 0.98 and bias = - 0.34 for the slope; and RMSE = 2.33 Mg C ha-1, R2 = 0.97 and bias = 0.74 for the ridge. The results show that the stratified sampling methodology taking into account topographic positions, effectively calibrates the general model with field estimates of ACD, reducing RMSE and bias. The results show the potential of LiDAR data to characterize the vertical structure of vegetation in a highly diverse forest, allowing accurate estimates of ACD, and knowing continuous spatial patterns of biomass distribution and carbon stocks in the study area.
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Este trabajo plantea una serie de deficiencias presentes en la Encuesta de Migraciones (EM), publicada anualmente por el INE a partir de la EPA. Consciente de la subestimación de la movilidad procedente de esta fuente estadística, el INE ha introducido recientemente ciertos cambios metodológicos. Sin embargo, no se han obtenido mejoras significativas y la misma continúa disponible para los investigadores. Las razones que se encuentran detrás de la limitada calidad de la EM son de tipo estadístico y afectan a la precisión y al sesgo de las estimaciones. Se desatienden principios básicos de la estimación para dominios pequeños, se incumplen los supuestos del muestreo por conglomerados y se incurre en graves sesgos debidos, probablemente, a la falta de respuesta. Consideramos que la investigación del hecho migratorio a través de la técnica del muestreo estratificado de poblaciones exige un tratamiento específico en la encuesta, dado el tamaño y las características de este dominio.
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Two predictive models are developed in this article: the first is designed to predict people's attitudes to alcoholic drinks, while the second sets out to predict the use of alcohol in relation to selected individual values. University students (N = 1,500) were recruited through stratified sampling based on sex and academic discipline. The questionnaire used obtained information on participants' alcohol use, attitudes and personal values. The results show that the attitudes model correctly classifies 76.3% of cases. Likewise, the model for level of alcohol use correctly classifies 82% of cases. According to our results, we can conclude that there are a series of individual values that influence drinking and attitudes to alcohol use, which therefore provides us with a potentially powerful instrument for developing preventive intervention programs.
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gsample draws a random sample from the data in memory. Simple random sampling (SRS) is supported, as well as unequal probability sampling (UPS), of which sampling with probabilities proportional to size (PPS) is a special case. Both methods, SRS and UPS/PPS, provide sampling with replacement and sampling without replacement. Furthermore, stratified sampling and cluster sampling is supported.
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The role of interpersonal attraction into the recruitment selection is gaining research attention. Early work in the domain of the influence of attraction in organisations suggested that men are given more resources, such as higher salaries and promotions. However, recent research has found women have an automatic in-group bias. It was suggested that female interviewers are more likely to hire another female. In contrast, male interviewers were found to be equally as likely to hire men as women. To resolve these two conflicting findings a behavioural experiment was set up looking at gender, attractiveness and recruitment selection. Forty participants, twenty male and twenty female, of varying ages (18-65) were recruited through age stratified sampling. Participants took on the role of manager of a medium sized company and were shown twenty photographs of faces previously rated for attractiveness. On initial viewing participants were asked to decide whether they would firstly hire the person and secondly give as many reasons for their decision. Findings from this research show that in all age groups male and female participants gave females (especially attractive females) more jobs, except in the case of the 18-21 year old females who gave attractive males more jobs. On examining the reasons behind the participant’s decisions, it was evident that if you appeared confident, friendly, youthful and attractive you were 46% more likely to receive the job. However, if you were perceived to be untrustworthy, lazy, arrogant and unintelligent you were 49% more likely not to receive the job. These findings shed light on the various processes that may underpin human resource decisions in an organisational setting.
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Using the learning descriptions of graduates of a graduate ministry program, the mechanisms of interactions between the knowledge facets in learning processes were explored and described. The intent of the study was to explore how explicit, implicit, and emancipatory knowledge facets interacted in the learning processes at or about work. The study provided empirical research on Yang's (2003) holistic learning theory. ^ A phenomenological research design was used to explore the essence of knowledge facet interactions. I achieved epoche through the disclosure of assumptions and a written self-experience to bracket biases. A criterion based, stratified sampling strategy was used to identify participants. The sample was stratified by graduation date. The sample consisted of 11 participants and was composed primarily of married (n = 9), white, non-Hispanic (n = 10), females (n = 9), who were Roman Catholic (n = 9). Professionally, the majority of the group were teachers or professors (n = 5). ^ A semi-structured interview guide with scheduled and unscheduled probes was used. Each approximately 1-hour long interview was digitally recorded and transcribed. The transcripts were coded using a priori codes from holistic learning theory and one emergent code. The coded data were analyzed by identifying patterns, similarities, and differences under each code and then between codes. Steps to increase the trustworthiness of the study included member checks, coding checks, and thick descriptions of the data. ^ Five themes were discovered including (a) the difficulty in describing interactions between knowledge facets; (b) actual mechanisms of interactions between knowledge facets; (c) knowledge facets initiating learning and dominating learning processes; (d) the dangers of one-dimensional learning or using only one knowledge facet to learn; and (e) the role of community in learning. The interpretation confirmed, extended, and challenged holistic learning theory. Mechanisms of interaction included knowledge facets expressing, informing, changing, and guiding one another. Implications included the need for a more complex model of learning and the value of seeing spirituality in the learning process. The study raised questions for future research including exploring learning processes with people from non-Christian faith traditions or other academic disciplines and the role of spiritual identity in learning. ^