1,720,962 research outputs found

    Artificial intelligence in pharmacy education: innovations and future directions / Mathumalar Loganathan

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    Artificial Intelligence (AI) is profoundly transforming pharmacy education, presenting numerous opportunities and complex challenges for pharmacy institutions worldwide. In countries like Switzerland, innovative approaches and the integration of AI in pharmacy education are reshaping the educational landscape, particularly in digital health, AI-driven pharmaceutical research, and robotics in pharmacy practice. Moreover, Switzerland is home to major pharmaceutical companies such as Novartis, Roche, and Lonza, which are heavily investing in AI for drug development and patient care. These companies collaborate with Swiss universities to integrate research and AI-based learning tools into pharmacy education. This strong academic-industry partnership positions Switzerland as a key player in AI-driven pharmacy innovation

    Quality of prescribing in UK care homes : using local data to recommend optimal prescribing strategies

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    Background: Inappropriate prescribing (IP) for older people is a public health concern worldwide because of its implications for increased healthcare costs and adverse drug events (ADE). Care home residents are particularly prone to IP due to intrinsic (frailty) and extrinsic (governance and management of homes) factors. My PhD focussed on prescribing for this vulnerable population. Methods: I conducted two systematic reviews which were aimed at: 1) establishing an IP-ADE link; and 2) interpreting interventions employed to reduce IP. Additionally, I evaluated the effectiveness of a multidisciplinary intervention in reducing IP in two nursing homes (combined sample size of 143 residents) managed by one general practice. In this multidisciplinary intervention, feedback from both a pharmacist medication review and an audit using STOPP (Screening Tool of Older Person's Prescriptions) which identified potentially inappropriate medication (PIM) and START (Screening Tool to Alert doctors to Right Treatment) which identified potential prescribing omission (PPO) were utilised by two general practitioners (GPs) to make appropriate changes to prescriptions. I compared the pre and post-intervention scores for PIMs and PPOs. Finally, I provided recommendations to improve overall prescribing quality in UK care homes. Main findings: The findings include: 1) Evidence for a correlation between IP and ADE was weak; 2) Interventions involving academic detailing, pharmacist medication review and multidisciplinary team meetings were more successful; 3) After the 13 months study, residents in the post-intervention group were significantly less likely to have been prescribed a PIM (RR 0.52, 95% CI 0.41-0.67) or a PPO (RR 0.58, 95% CI 0.48-0.69) as compared to residents in the pre-group. Factors influencing the number of PIMs and PPOs were number of medications and number of comorbidities respectively; 4) Recommendations for improving prescribing quality were broadly categorised into five areas: future research; legislation and directives; education and training; integrated healthcare services; and information technology. Conclusion: The multidisciplinary pharmacist-GP-researcher intervention is an effective and practical approach to reducing IP for nursing home residents

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We 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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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