131,226 research outputs found
Location planning in charity retailing
No full textPurpose: this paper seeks to evaluate the particular conditions informing locational decision making and related network planning in the charity retail sector. Its purpose is to identify both differences and commonalities with related debates that have been focussed very largely on the grocery sector and the superstore format. Its wider purpose is to contribute to the growing literature on charity retailing which has not considered this aspect of retail management in detail.Design/methodology/approach: details the particularities of charity retailing locational decision making and network planning through a detailed case-study consideration of a hospice charity's emerging retail store network.Findings: finds that existing conceptual and practical considerations pertaining to locational decision making in retailing require a nuanced re-revaluation in relation to the locational and network planning of charity retailers. Identifies the importance of supply chain (stock donators) and workforce factors together with the customer demand in informing locational decision making.Originality/value: detailed academic consideration of location planning in the charity shop sector is absent in the literature. The paper addresses thi
Epinephrine's ketogenic effect in humans is mediated principally by lipolysis.
No full textTo quantify epinephrine's effects on acetoacetate and beta-hydroxybutyrate kinetics, we infused subjects with 0.3 and 2.5 micrograms/min epinephrine, either alone or with a concomitant somatostatin infusion with insulin, glucagon, and growth hormone replaced at postabsorptive levels (islet clamp). Additional subjects received no epinephrine but sequential infusions of heparin plus 10% Intralipid at rates of 0.5 and 3.0 ml/min. Both epinephrine and Intralipid increased ketone body appearance (unaffected by islet clamp), augmented the interconversion rates between ketone bodies and, during the 2.5 micrograms/min infusion, caused a marked increase in beta-hydroxybutyrate appearance. The fraction of plasma free fatty acid (FFA) flux appearing as plasma ketones increased from 6 to 7% in the basal state to 11% at the high-epinephrine infusion. This fraction was also unaffected by the islet clamp and was not different from values obtained at similar Intralipid plus heparin-induced elevations in plasma FFA levels. We conclude that epinephrine's ketogenic effect in humans is primarily the result of its lipolytic effect, is accompanied by a significantly increased rate of ketone body interconversion, is manifest largely as an increase in plasma beta-hydroxybutyrate appearance at high plasma epinephrine values, and is not limited by portal insulin at post-absorptive levels.</jats:p
Variations in initial acceptance and continued adherence to wearing hip protectors: Are they explained by factors other than staff attitude?
No full textHip fractures are an important consequence of falling. Methods of preventing hip
fractures include:
1. reducing the risk of falling ,
2. strengthen ing (or maintaining the strength of bones) through osteoporosis
treatment and prevention , and
3. through the use of hip protecto rs.
Cluster-randomised trials indicate that for those living in residential care and nursing
homes with a high risk of hip fracture. a programme of providing hip protectors appears
to reduce the incidence of hip fractures
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Use of quantitative ultrasound scans of the calcaneus to diagnose osteoporosis in patients with rheumatoid arthritis
No full textBackground: Patients with rheumatoid arthritis are recognized as being at risk for osteoporosis as a result of the disease process as well as the medication used to treat it. This study was conducted to consider the use of calcaneal scanning with quantitative ultrasound—contact ultrasound bone analysis (CUBA)—to diagnose osteoporosis in patients with rheumatoid arthritis.Methods: Forty-six patients (11 men and 35 women) with established rheumatoid arthritis underwent dual-energy x-ray absorptiometry (DEXA) of the nondominant wrist andCUBA of the nondominant heel. Sensitivity, specificity, and positive and negative predictive values were used to determine the correlation between osteoporosis as diagnosedby the CUBA heel scan compared with the DEXA wrist scan given that DEXA is widely seen as the gold standard for the diagnosis of osteoporosis.Results: The CUBA heel scan revealed a sensitivity of 90% and a specificity of 44% for a diagnosis of osteoporosis compared with DEXA. The positive predictive value of theCUBA scan was 31%, and the negative predictive value was 94%. Therefore, if normal bone density is found using CUBA, there is 94% certainty this is correct. However, if osteoporosis is diagnosed using CUBA, there is only 31% certainty this is correct. In such instances a secondary scan using a different method (eg, DEXA) would be required. Future work should consider the effect of minor alterations to the equipment or scanning protocol, because this may improve diagnosis.Conclusions: The CUBA unit could be used as a primary screening device. Given the cost and accessibility issues associated with DEXA, quantitative ultrasound may have arole in screening for osteoporosis in the primary-care setting to determine the most appropriate routes of referral for patients requiring further investigations. <br/
Prevalence of, and risk factors for cycle helmet use in children in East Sussex and Kent.
No full textObjectives—To assess the level of cycle helmet wearing among young people in two counties in the South East of England in 1994, and to identify the factors associated with helmet wearing.
Design—Cross sectional survey in a convenience sample.
Setting—Secondary schools in East Sussex and Kent.
Subjects—Students in year 7 (aged 10–12 years) and year 11 (aged 14–16 years).
Main outcome measures—Self reported “always wears a helmet”.
Results—Among those who ride a bicycle, 32% of boys and 29% of girls aged 10–12 years, and 14% of boys and 10% of girls aged 14–16, reported that they always wear helmets. The variables that were most consistently associated with helmet wearing (that is significantly associated with helmet wearing in at least five of the six age, sex, and county subgroups) were: “parental encouragement to wear a helmet”, “closest friend wears a helmet”, “belief that laws that make children wear helmets are good”, and “sometimes rides off-road”.
Conclusions—The self reported rates of always wearing a cycle helmet in East Sussex and Kent are consistent with overseas findings for populations who had not been exposed to intensive helmet promotion. The evidence suggests that parental encouragement has a favourable effect on rates of cycle helmet use among secondary schoolchildren, which is separate from and additional to peer influences. When designing a helmet promotion programme, therefore, it will have added impact if both parents and children are addressed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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