989 resultados para Statistics on Sequelae and Disability


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Vol. for include a special report on inflation.

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Later volumes prepared for the Mutual Security Agency, Productivity and Technical Assistance Division.

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Issues for 1939/1962-1939/1963 based on the 1957 Standard industrial classification; issues for 1939/1964- based on 1957 Standard industrial classification, as amended by the 1963 Supplement.

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"NCES 2004-314."

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"This working paper was prepared in Population Division"--Verso t.p.

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In broader catchment scale investigations, there is a need to understand and ultimately exploit the spatial variation of agricultural crops for an improved economic return. In many instances, this spatial variation is temporally unstable and may be different for various crop attributes and crop species. In the Australian sugar industry, the opportunity arose to evaluate the performance of 231 farms in the Tully Mill area in far north Queensland using production information on cane yield (t/ha) and CCS ( a fresh weight measure of sucrose content in the cane) accumulated over a 12-year period. Such an arrangement of data can be expressed as a 3-way array where a farm x attribute x year matrix can be evaluated and interactions considered. Two multivariate techniques, the 3-way mixture method of clustering and the 3-mode principal component analysis, were employed to identify meaningful relationships between farms that performed similarly for both cane yield and CCS. In this context, farm has a spatial component and the aim of this analysis was to determine if systematic patterns in farm performance expressed by cane yield and CCS persisted over time. There was no spatial relationship between cane yield and CCS. However, the analysis revealed that the relationship between farms was remarkably stable from one year to the next for both attributes and there was some spatial aggregation of farm performance in parts of the mill area. This finding is important, since temporally consistent spatial variation may be exploited to improve regional production. Alternatively, the putative causes of the spatial variation may be explored to enhance the understanding of sugarcane production in the wet tropics of Australia.

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Pain self-efficacy and anxiety have each been shown to contribute substantially to pain intensity and pain-related disability. Although adult attachment theory has been related separately to chronic pain, anxiety, and self-efficacy, it has not before been investigated with either pain self-efficacy or anxiety in the context of chronic pain. This study investigated the interrelations between these aspects of the chronic pain experience and their relative contributions towards pain intensity and disability. A clinical sample of 152 chronic pain patients participated in this study, completing self-report measures of attachment, self-efficacy, pain intensity, and disability, prior to attending a multidisciplinary pain clinic. Results revealed that fearful and preoccupied (anxious) attachment categories were associated with low pain self-efficacy, while high scores on the attachment dimension of comfort with closeness were linked with high pain self-efficacy, particularly for males. Insecure attachment (whether defined in terms of categories or dimensions) was related to higher levels of anxiety. Pain self-efficacy proved a stronger predictor of pain intensity than did anxiety and was a stronger predictor of disability than pain intensity or anxiety. In addition, comfort with closeness moderated the associations between pain self-efficacy and disability, pain self-efficacy and pain intensity, and anxiety and disability. Together, these findings support the value of adopting an attachment theoretical approach in the context of chronic pain. Treatment considerations and future research directions are considered. (c) 2006 International Association for the Study of Pain. Published by Elsevier B.V. All rights reserved.

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Review: A commentary on Teaching statistics using dance and movement by Irving, L.T. (2015). Front. Psychol. 6:50. doi: 10.3389/fpsyg.2015.00050 A case for neuroscience in mathematics education by Susac, A., and Braeutigam, S. (2014). Front. Hum. Neurosci. 8:314. doi: 10.3389/fnhum.2014.00314

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'Takes the challenging and makes it understandable. The book contains useful advice on the application of statistics to a variety of contexts and shows how statistics can be used by managers in their work.' - Dr Terri Byers, Assistant Professor, University Of New Brunswick, Canada A book about introductory quantitative analysis for business students designed to be read by first- and second-year students on a business studies degree course that assumes little or no background in mathematics or statistics. Based on extensive knowledge and experience in how people learn and in particular how people learn mathematics, the authors show both how and why quantitative analysis is useful in the context of business and management studies, encouraging readers to not only memorise the content but to apply learning to typical problems. Fully up-to-date with comprehensive coverage of IBM SPSS and Microsoft Excel software, the tailored examples illustrate how the programmes can be used, and include step-by-step figures and tables throughout. A range of ‘real world’ and fictional examples, including "The Ballad of Eddie the Easily Distracted" and "Esha's Story" help bring the study of statistics alive. A number of in-text boxouts can be found throughout the book aimed at readers at varying levels of study and understanding •Back to Basics for those struggling to understand, explain concepts in the most basic way possible - often relating to interesting or humorous examples •Above and Beyond for those racing ahead and who want to be introduced to more interesting or advanced concepts that are a little bit outside of what they may need to know •Think it over get students to stop, engage and reflect upon the different connections between topics A range of online resources including a set of data files and templates for the reader following in-text examples, downloadable worksheets and instructor materials, answers to in-text exercises and video content compliment the book.

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Climate change is one of the biggest environmental problems of the 21st century. The most sensitive indicators of the effects of the climatic changes are phenological processes of the biota. The effects of climate change which were observed the earliest are the remarkable changes in the phenology (i.e. the timing of the phenophases) of the plants and animals, which have been systematically monitored later. In our research we searched for the answer: which meteorological factors show the strongest statistical relationships with phenological phenomena based on some chosen plant and insect species (in case of which large phenological databases are available). Our study was based on two large databases: one of them is the Lepidoptera database of the Hungarian Plant Protection and Forestry Light Trap Network, the other one is the Geophytes Phenology Database of the Botanical Garden of Eötvös Loránd University. In the case of butterflies, statistically defined phenological dates were determined based on the daily collection data, while in the case of plants, observation data on blooming were available. The same meteorological indicators were applied for both groups in our study. On the basis of the data series, analyses of correlation were carried out and a new indicator, the so-called G index was introduced, summing up the number of correlations which were found to be significant on the different levels of significance. In our present study we compare the significant meteorological factors and analyse the differences based on the correlation data on plants and butterflies. Data on butterflies are much more varied regarding the effectiveness of the meteorological factors.