1000 resultados para delimitation survey
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A survey of the leg exocrine glands in the termite workers of 16 species of the families Kalotermitidae and Termitidae was carried out through scanning electron microscope. Glandular openings were not found in the legs of Anoplotermes sp., Ruptitermes sp. (Apicotermitinae, Termitidae) or Glyptotermes planus (Kalotermitidae), but they are present, spread over the ventral surface of the first, second and third tarsomeres of other Termitidae such as Armitermes euamignathus, Cornitermes cumulans, Nasutitermes coxipoensis, Rhynchotermes nasutissimus, Syntermes nanus, Embiratermes festivellus (Nasutitermitinae), Amitermes beaumonti, Hoplotermes amplus, Microcerotermes sp., Neocapritermes opacus, Orthognathotermes sp., Spinitermes brevicornutus and Termes sp. (Termitinae). The pores are usually isolated but they can also be grouped inside a round depression. The occurrence of leg exocrine glands in the family Termitidae is reported for the first time.
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This project was initiated by the Department of Personnel, now the Department of Administrative Services (DAS)– Human Resources Enterprise (HRE), to assist executive branch agencies in determining why employees leave their employ or state government as well as provide insight into past employee perceptions of their employer. As the workforce continues to age and at the same time the available workforce declines, employers must have data to manage their turnover effectively.
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This project was initiated by the Department of Personnel, now the Department of Administrative Services (DAS)– Human Resources Enterprise (HRE), to assist executive branch agencies in determining why employees leave their employ or state government as well as provide insight into past employee perceptions of their employer. As the workforce continues to age and at the same time the available workforce declines, employers must have data to manage their turnover effectively.
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Business survey tool from the Improving Transition Outcomes Resource Mapping Workshops
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Youth survey tool from the Improving Transition Outcomes Resource Mapping Workshops
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Service provider survey tool from the Improving Transition Outcomes Resource Mapping Workshops
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Community organizations survey tool from the Improving Transition Outcomes Resource Mapping Workshops
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Parents survey tool from the Improving Transition Outcomes Resource Mapping Workshops
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Community members survey tool from the Improving Transition Outcomes Resource Mapping Workshops
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Results from a survey conducted in cooperation with Iowa's Youth Leadership Forum.
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From a scientific point of view, surveys are undoubtedly a valuable tool for the knowledge of the social and political reality. They are widely used in the social sciences research. However, the researcher's task is often disturbed by a series of deficiencies related to some technical aspects that make difficult both the inference and the comparison. The main aim of the present paper is to report and justify the European Social Survey's technical specifications addressed to avoid and/or minimize such deficiencies. The article also gives a characterization of the non-respondents in Spain obtained from the analysis of the 2002 fieldwork data file.
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The relation among education, disease prevalence, and frequency of health service utilization was analyzed using data from the Swiss National Health Survey SOMIPOPS, conducted in 1981-1983 on a randomly selected sample of 4,255 individuals, representative of the entire Swiss population. The prevalence of several important cardiovascular, respiratory, digestive, osteoarticular, and psychiatric disorders was higher among less educated individuals; only allergic conditions were directly associated with indicators of social class. More educated individuals reported lower frequencies of general practitioner visits, but higher frequencies of specialized consultations. These findings confirm that education is an important determinant not only of mortality but also of morbidity and health-care utilization and require careful consideration in terms of the planning and evaluation of health services.
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This study represents the most extensive analysis of batch-to-batch variations in spray paint samples to date. The survey was performed as a collaborative project of the ENFSI (European Network of Forensic Science Institutes) Paint and Glass Working Group (EPG) and involved 11 laboratories. Several studies have already shown that paint samples of similar color but from different manufacturers can usually be differentiated using an appropriate analytical sequence. The discrimination of paints from the same manufacturer and color (batch-to-batch variations) is of great interest and these data are seldom found in the literature. This survey concerns the analysis of batches from different color groups (white, papaya (special shade of orange), red and black) with a wide range of analytical techniques and leads to the following conclusions. Colored batch samples are more likely to be differentiated since their pigment composition is more complex (pigment mixtures, added pigments) and therefore subject to variations. These variations may occur during the paint production but may also occur when checking the paint shade in quality control processes. For these samples, techniques aimed at color/pigment(s) characterization (optical microscopy, microspectrophotometry (MSP), Raman spectroscopy) provide better discrimination than techniques aimed at the organic (binder) or inorganic composition (fourier transform infrared spectroscopy (FTIR) or elemental analysis (SEM - scanning electron microscopy and XRF - X-ray fluorescence)). White samples contain mainly titanium dioxide as a pigment and the main differentiation is based on the binder composition (Csingle bondH stretches) detected either by FTIR or Raman. The inorganic composition (elemental analysis) also provides some discrimination. Black samples contain mainly carbon black as a pigment and are problematic with most of the spectroscopic techniques. In this case, pyrolysis-GC/MS represents the best technique to detect differences. Globally, Py-GC/MS may show a high potential of discrimination on all samples but the results are highly dependent on the specific instrumental conditions used. Finally, the discrimination of samples when data was interpreted visually as compared to statistically using principal component analysis (PCA) yielded very similar results. PCA increases sensitivity and could perform better on specific samples, but one first has to ensure that all non-informative variation (baseline deviation) is eliminated by applying correct pre-treatments. Statistical treatments can be used on a large data set and, when combined with an expert's opinion, will provide more objective criteria for decision making.