961 resultados para Census Data Customized Report


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Integrating sociological and psychological perspectives, this research considers the value of organizational ethnic diversity as a function of community diversity. Employee and patient surveys, census data, and performance indexes relevant to 142 hospitals in the United Kingdom suggest that intraorganizational ethnic diversity is associated with reduced civility toward patients. However, the degree to which organizational demography was representative of community demography was positively related to civility experienced by patients and ultimately enhanced organizational performance. These findings underscore the understudied effects of community context and imply that intergroup biases manifested in incivility toward out-group members hinder organizational performance.

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Empirical work on micro and small firms focuses on developed countries, while existing work on developing countries is all too often based on small samples taken from ad hoc questionnaires. The census data we analyze here are fairly representative of small business structure in India. Consistent with findings from prior research on developed countries, size and age have a negative impact on firm growth in the majority of specifications. Enterprises managed by women have lower expected growth rates. Proprietary firms face lower growth on the whole, especially if they are young firms. Exporting has a positive effect on firm growth, especially for young firms and for female-owned firms. Although some small firms are able to convert know-how into commercial success, we find that many others are unable to translate it into superior growth.

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Around 80% of the 63 million people in the UK live in urban areas where demand for affordable housing is highest. Supply of new dwellings is a long way short of demand and with an average annual replacement rate of 0.5% more than 80% of the existing residential housing stock will still be in use by 2050. A high proportion of owner-occupiers, a weak private rental sector and lack of sustainable financing models render England’s housing market one of the least responsive in the developed world. As an exploratory research the purpose of this paper is to examine the provision of social housing in the United Kingdom with a particular focus on England, and to set out implications for housing associations delivering sustainable community development. The paper is based on an analysis of historical data series (Census data), current macro-economic data and population projections to 2033. The paper identifies a chronic undersupply of affordable housing in England which is likely to be exacerbated by demographic development, changes in household composition and reduced availability of finance to develop new homes. Based on the housing market trends analysed in this paper opportunities are identified for policy makers to remove barriers to the delivery of new affordable homes and for social housing providers to evolve their business models by taking a wider role in sustainable community development.

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Microposts are small fragments of social media content that have been published using a lightweight paradigm (e.g. Tweets, Facebook likes, foursquare check-ins). Microposts have been used for a variety of applications (e.g., sentiment analysis, opinion mining, trend analysis), by gleaning useful information, often using third-party concept extraction tools. There has been very large uptake of such tools in the last few years, along with the creation and adoption of new methods for concept extraction. However, the evaluation of such efforts has been largely consigned to document corpora (e.g. news articles), questioning the suitability of concept extraction tools and methods for Micropost data. This report describes the Making Sense of Microposts Workshop (#MSM2013) Concept Extraction Challenge, hosted in conjunction with the 2013 World Wide Web conference (WWW'13). The Challenge dataset comprised a manually annotated training corpus of Microposts and an unlabelled test corpus. Participants were set the task of engineering a concept extraction system for a defined set of concepts. Out of a total of 22 complete submissions 13 were accepted for presentation at the workshop; the submissions covered methods ranging from sequence mining algorithms for attribute extraction to part-of-speech tagging for Micropost cleaning and rule-based and discriminative models for token classification. In this report we describe the evaluation process and explain the performance of different approaches in different contexts.

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Background: Anticholinergic medications may be associated with adverse clinical outcomes, including acute impairments in cognition and anticholinergic side effects, the risk of adverse outcomes increasing with increasing anticholinergic exposure. Older people with intellectual disability may be at increased risk of exposure to anticholinergic medicines due to their higher prevalence of comorbidities. We sought to determine anticholinergic burden in ageing people with intellectual disability. Methods: Medication data (self-report/proxy-report) was drawn from Wave 1 of the Intellectual Disability Supplement to the Irish Longitudinal Study on Ageing (IDS-TILDA), a study on the ageing of 753nationally representative people with an IDC40 years randomly selected from the National Intellectual Disability Database. Each individual’s cumulative exposure to anticholinergic medications was calculated using the Anticholinergic Cognitive Burden Scale (ACB) amended by a multi-disciplinary group with independent advice to account for the range of medicines in use in this population. Results: Overall, 70.1 % (527) reported taking medications with possible or definite anticholinergic properties (ACBC1), with a mean (±SD) ACB score of 4.5 (±3.0) (maximum 16). Of those reporting anticholinergic exposure (n=527), 41.3 % (217) reported an ACB score o fC5. Antipsychotics accounted for 36.4 % of the total cumulative ACB score followed by anticholinergics (16 %) and antidepressants (10.8 %). The most frequently reported medicine with anticholinergic activity was carbamazepine 16.8 % (127). The most frequently reported medicine with high anticholinergic activity (ACB 3) was olanzapine13.4 % (101). There was a significant association between higher anti-cholinergic exposure and multimorbidity, particularly mental health morbidity, and some anticholinergic adverse effects such as constipation and day-time drowsiness but not self-rated health. Conclusion: Using simple cumulative measures proved an effective means to capture total burden and helped establish that anticholinergic exposure in the study population was high. The finding highlights the need for comprehensive reviews of medications.

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Using a language ecology framework, this dissertation examines the ethnolinguistic vitality (demographic, institutional support and prestige factors) of the immigrant Hispanic population of Miami-Dade County. Using statistical analyses and GIS methods census data are analyzed compared to San Diego County. In addition, the historical, geographical and sociocultural situation in Miami-Dade County on Spanish language use is evaluated. Finally, using a 171-question survey, language attitudes are assessed. The dissertation concludes that because of the unique ethnolinguistic vitality of Hispanics in Miami-Dade County: (1) Significant residential patterns and a unique demographic profile of Hispanics throughout Miami-Dade County have contributed significantly to a stable bilingualism. (2) Although institutional support of Spanish use in Miami-Dade County is relatively robust, a lack of support in the educational institutions threatens the prospects of continued, stable individual bilingualism and community diglossia. (3) Hispanics in Miami-Dade County are likely to support the use of Spanish as a private and public language because they consider it an important part of both their cultural heritage and their daily lives. ^