7 resultados para Focused retrieval

em DigitalCommons@The Texas Medical Center


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OBJECTIVE: To characterize PubMed usage over a typical day and compare it to previous studies of user behavior on Web search engines. DESIGN: We performed a lexical and semantic analysis of 2,689,166 queries issued on PubMed over 24 consecutive hours on a typical day. MEASUREMENTS: We measured the number of queries, number of distinct users, queries per user, terms per query, common terms, Boolean operator use, common phrases, result set size, MeSH categories, used semantic measurements to group queries into sessions, and studied the addition and removal of terms from consecutive queries to gauge search strategies. RESULTS: The size of the result sets from a sample of queries showed a bimodal distribution, with peaks at approximately 3 and 100 results, suggesting that a large group of queries was tightly focused and another was broad. Like Web search engine sessions, most PubMed sessions consisted of a single query. However, PubMed queries contained more terms. CONCLUSION: PubMed's usage profile should be considered when educating users, building user interfaces, and developing future biomedical information retrieval systems.

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OBJECTIVE: To determine whether algorithms developed for the World Wide Web can be applied to the biomedical literature in order to identify articles that are important as well as relevant. DESIGN AND MEASUREMENTS A direct comparison of eight algorithms: simple PubMed queries, clinical queries (sensitive and specific versions), vector cosine comparison, citation count, journal impact factor, PageRank, and machine learning based on polynomial support vector machines. The objective was to prioritize important articles, defined as being included in a pre-existing bibliography of important literature in surgical oncology. RESULTS Citation-based algorithms were more effective than noncitation-based algorithms at identifying important articles. The most effective strategies were simple citation count and PageRank, which on average identified over six important articles in the first 100 results compared to 0.85 for the best noncitation-based algorithm (p < 0.001). The authors saw similar differences between citation-based and noncitation-based algorithms at 10, 20, 50, 200, 500, and 1,000 results (p < 0.001). Citation lag affects performance of PageRank more than simple citation count. However, in spite of citation lag, citation-based algorithms remain more effective than noncitation-based algorithms. CONCLUSION Algorithms that have proved successful on the World Wide Web can be applied to biomedical information retrieval. Citation-based algorithms can help identify important articles within large sets of relevant results. Further studies are needed to determine whether citation-based algorithms can effectively meet actual user information needs.

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This descriptive cross-sectional survey compared the perceptions of public health nursing practitioners, educators and administrators along two dimensions: the importance of community-focused functions in public health nursing and which occupational categories in public health are responsible for those functions. More than 50 percent of the mailed questionnaires that were sent to a systematic stratified nationwide sample of public health nurses were returned. In general, respondents: were female, were in their 40s, received their basic nursing education in baccalaureate programs, had either a baccalaureate or a master's degree, worked in official agencies or schools, and had approximately 14 years of experience in public health with six in their present position.^ Significant differences between practitioners, educators and administrators were found in their perceptions of both the importance of community-focused functions in public health nursing and in which occupational category they indicated as having the major responsibility to perform those functions. Educators and administrators perceived community-focused functions as more important than did practitioners. Overall the occupational category of administrator was indicated as having the major responsibility for performing community-focused functions.^

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The current standard for temperature sensitive imaging using magnetic resonance (MR) is 2-D, spoiled, fast gradient-echo (fGRE) phase-difference imaging exploiting temperature dependent changes in the proton resonance frequency (PRF). The echo-time (TE) for optimal sensitivity is larger than the typical repetition time (TR) of an fGRE sequence. Since TE must be less than TR in the fGRE sequence, this limits the technique's achievable sensitivity, spatial, and temporal resolution. This adversely affects both accuracy and volume coverage of the measurements. Accurate measurement of the rapid temperature changes associated with pulsed thermal therapies, such as high-intensity focused ultrasound (FUS), at optimal temperature sensitivity requires faster acquisition times than those currently available. ^ Use of fast MR acquisition strategies, such as interleaved echo-planar and spiral imaging, can provide the necessary increase in temporal performance and sensitivity while maintaining adequate signal-to-noise and in-plane spatial resolution. This research explored the adaptation and optimization of several fast MR acquisition methods for thermal monitoring of pulsed FUS thermal therapy. Temperature sensitivity, phase-difference noise and phase-difference to phase-difference-to noise ratio for the different pulse sequences were evaluated under varying imaging parameters in an agar gel phantom to establish optimal sequence parameters for temperature monitoring. The temperature sensitivity coefficient of the gel phantom was measured, allowing quantitative temperature extrapolations. ^ Optimized fast sequences were compared based on the ability to accurately monitor temperature changes at the focus of a high-intensity focused ultrasound unit, volume coverage, and contrast-to-noise ratio in the temperature maps. Operating parameters, which minimize complex phase-difference measurement errors introduced by use of the fast-imaging methods, were established. ^

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Social capital, a relatively new public health concept, represents the intangible resources embedded in social relationships that facilitate collective action. Current interest in the concept stems from empirical studies linking social capital with health outcomes. However, in order for social capital to function as a meaningful research variable, conceptual development aimed at refining the domains, attributes, and boundaries of the concept are needed. An existing framework of social capital (Uphoff, 2000), developed from studies in India, was selected for congruence with the inductive analysis of pilot data from a community that was unsuccessful at mobilizing collective action. This framework provided the underpinnings for a formal ethnographic research study designed to examine the components of social capital in a community that had successfully mobilized collective action. The specific aim of the ethnographic study was to examine the fittingness of Uphoff's framework in the contrasting American community. A contrasting context was purposefully selected to distinguish essential attributes of social capital from those that were specific to one community. Ethnographic data collection methods included participant observation, formal interviews, and public documents. Data was originally analyzed according to codes developed from Uphoff's theoretical framework. The results from this analysis were only partially satisfactory, indicating that the theoretical framework required refinement. The refinement of the coding system resulted in the emergence of an explanatory theory of social capital that was tested with the data collected from formal fieldwork. Although Uphoff's framework was useful, the refinement of the framework revealed, (1) trust as the dominant attribute of social capital, (2) efficacy of mutually beneficial collective action as the outcome indicator, (3) cognitive and structural domains more appropriately defined as the cultural norms of the community and group, and (4) a definition of social capital as the combination of the cognitive norms of the community and the structural norms of the group that are either constructive or destructive to the development of trust and the efficacy of mutually beneficial collective action. This explanatory framework holds increased pragmatic utility for public health practice and research. ^

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Alcohol abuse and its related problems are among the most pervasive health and social concerns in the United States (U.S.) today. Women are especially vulnerable to the physical and social devastation of alcohol abuse. Yet, although there is extensive research about alcohol drinking patterns, treatment strategies, and early recovery, there is little information about the factors that facilitate successfully sustained abstinence in women. The purpose of this study was to examine and describe the common factors to successful recovery from alcohol abuse among women and to place these factors within both the context of their social networks and the larger social environment. This study draws from the population of New Mexico, where alcohol-related deaths are the highest of any state in the U.S. and the leading cause of death for individuals under the age of 65 years. The study was a focused ethnography of women who had successfully maintained long-term recovery from alcohol abuse. As an ethnographic study, data collection included participant observation, in-depth interviews with 21 women, and the collection of historical and current culturally relevant data. A purposive sampling plan was used to maximize the selection of participants who had used traditional and non-traditional approaches to recovery. As such, the analysis of the success narratives revealed two distinct findings: the first that women used several different trajectories to achieve long-term recovery. Three trajectory typologies were identified from the success narratives and labeled, A.A. as ceremony, A.A. as grounding, and Recovery as self-management. ^ However, within each of these trajectories, variations in successful recovery were seen. The second major finding was that all women articulated an overarching theme of connections as an indispensable aspect of sustained recovery. The success narratives demonstrated the powerful role that connections played in their long-term recovery and the analysis distinguished two unifying concepts of connections—those that focused beyond self (spirituality, social support, and pets) and those that focused toward self (self-nurturance, agency, and identity). This discussion will focus on the implications for clinical practice related to both women who are still actively abusing alcohol and for those who are successfully maintaining long-term recovery. ^

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The Carrera-Children's Aid Society of New York model is a proven model of teen pregnancy prevention. There is a need to evaluate the effect that the model has had on the participants as individuals. Brighter Futures is a replication of the Carrera-Children's Aid Society of New York youth development model operated by Planned Parenthood of Houston and Southeast Texas. A qualitative youth-focused Empowerment Evaluation was initiated to determine the individual impact of the achieved program outcomes. The Empowerment Evaluation assessed what impact the Brighter Futures program has had on the students. The youth used Community-based Participatory Research (CBPR) approaches, such as Photovoice, in conjunction with guided writing and participatory groups to conduct this evaluation with in the framework of Empowerment Evaluation. Additionally, a semi-structured CBPR exercise was used to evaluate the effectiveness of the feasibility of Photovoice methodology with urban youth. ^