1,721,019 research outputs found
Il Counterparty risk: view di vigilanza e aspetti gestionali
No full textIl rischio di controparte in derivati Otc ha assunto un ruolo di rilievo nell’ambito del complesso dei rischi assunti dagli intermediari (in particola modo nelle Sifis, Sistemically
Important Financial Institution) anche in seguito alla crisi finanziaria internazionale. Diversi sono gli approcci di misurazione del rischio di controparte, che derivano anche dalle prescrizioni regolamentari in materia e/o dalle best practice di mercato, e gli strumenti sviluppati dall’industria finanziaria per l’attività
di Counterparty Risk Collateralization. Tra questi, il paper analizza gli aspetti legali e operativi del Credit Support Annex
di diritto anglosassone.The counterparty risk in OTC derivatives has assumed an important role in the complex of the risks assumed by the intermediaries (especially in the SIFIs, SistemicallyImportant Financial Institution) even after the international finacial crisis. There are a lot of instruments to measure counterparty risk arising from regulatory requirements , and to mitigate this risk developed from the financial industry. This paper also analyzes legal and operational aspects of the Credit Support Annex (Anglo-Saxon law)
Gli outcome del nursing: strumenti per rendere visibile l’efficacia dell’assistenza infermieristica
No full textGli outcomes del nursing: strumenti per rendere visibile l’efficacia dell’assistenza infermieristica
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Integrating human expertise & automated methods for a dynamic and multi-parametric evaluation of large language models’ feasibility in clinical decision-making
No full textBackground: Recent enhancements in Large Language Models (LLMs) such as ChatGPT have exponentially increased user adoption. These models are accessible on mobile devices and support multimodal interactions, including conversations, code generation, and patient image uploads, broadening their utility in providing healthcare professionals with real-time support for clinical decision-making. Nevertheless, many authors have highlighted serious risks that may arise from the adoption of LLMs, principally related to safety and alignment with ethical guidelines. Objective: To address these challenges, we introduce a novel methodological approach designed to assess the specific feasibility of adopting LLMs within a healthcare area, with a focus on clinical nursing, evaluating their performance and thereby directing their choice. Emphasizing LLMs’ adherence to scientific advancements, this approach prioritizes safety and care personalization, according to the “Organization for Economic Co-operation and Development” frameworks for responsible AI. Moreover, its dynamic nature is designed to adapt to future evolutions of LLMs. Method: Through integrating advanced multidisciplinary knowledge, including Nursing Informatics, and aided by a prospective literature review, seven key domains and specific evaluation items were identified as follows: 1. State of the Art Alignment & Safety. 2. Focus, Accuracy & Management of Prompt Ambiguity. 3. Data Integrity, Data Security, Ethics & Sustainability, in accordance with OECD Recommendations for Responsible AI. 4. Temporal Variability of Responses (Consistency) 5. Adaptation to specific standardized terminology and Classifications for healthcare professionals. 6. General Capabilities: Post User Feedback Self-Evolution Capability and Organization in Chapters. 7. Ability to Drive Evolution in Healthcare.A Peer Review by experts in Nursing and AI was performed, ensuring scientific rigor and breadth of insights for an essential, reproducible, and coherent methodological approach. By means of a 7-point Likert scale, thresholds are defined in order to classify LLMs as “unusable”, “usable with high caution”, and “recommended” categories. Nine state of the art LLMs were evaluated using this methodology in clinical oncology nursing decision-making, producing preliminary results. Gemini Advanced, Anthropic Claude 3 and ChatGPT 4 achieved the minimum score of the State of the Art Alignment & Safety domain for classification as “recommended”, being also endorsed across all domains. LLAMA 3 70B and ChatGPT 3.5 were classified as “usable with high caution.” Others were classified as unusable in this domain. Conclusion: The identification of a recommended LLM for a specific healthcare area, combined with its critical, prudent, and integrative use, can support healthcare professionals in decision-making processes
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