1,721,202 research outputs found
Interpretability of machine learning with hydrological applications
Full text linkThis doctoral thesis focuses on the interpretability of the machine learning (ML) considering two specific topics to achieve a better interpretation of machine findings: feature importance and feature effects. Feature importance helps to identify features that drive
the ML model response, while feature effects provide a visualization of the partial behavior of the ML model as a function of a subset of features. Exploiting one of the most powerful visualization tool, Accumulative Local Effect (ALE) plot, I develop new approaches
to obtain insights on feature importance. Moreover, I employ these new techniques in combination with other promising ML methods in hydrological applications. First, I aim to understand a catchment hydrological response by investigating how sub-basins of a selected natural watershed contribute to its stormflow response. Second, I prove that using ML tools and feature importance measures helps to enhance an early warming system based on monitored discharges in specific watershed cross-sections
Wild-type transthyretin cardiac amyloidosis: the need for a comprehensive geriatric assessment beyond age
No full textAnxiety and depression in cardiac amyloidosis: a systematic review
No full textObjectives: Cardiac amyloidosis (CA) is a rare and underdiagnosed disease associated with a high mortality rate. Although, in the last decade, there has been increasing attention in the literature to the relationship between CA and psychological distress in patients, the evidence on this association has not yet been systematised. Therefore, this study aims to fill this gap. Design: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a systematic review was conducted. Data sources: PubMed, ScienceDirect, Scopus and Web of Science were searched, with the last update conducted on 23 September 2024, and no time restrictions were applied. Eligibility criteria: Studies had to meet the following inclusion criteria to be included: (1) original quantitative research; (2) published in peer-reviewed journals written in English; (3) explore and report the relationship between CA and psychological distress or compare a clinical group with a control group and (4) investigate psychological distress through reliable and validated measures. Data extraction and synthesis: One author extracted the data, which was then double-checked by another, and data were reported both in tabular and textual form. The included studies were critically evaluated using the Appraisal Tool for Cross-Sectional Studies. Results: Through the research process, a total of 14 articles were selected. The quality assessment scores ranged from 12 to 18 (M=16.21±1.42). Overall, the results underline a significant presence of psychological distress in patients with CA. Moreover, while disease severity was not found to be associated with psychological distress in CA patients in all studies considered, more heterogeneous results emerged regarding the association between the severity of cardiac symptoms and psychological distress. Conclusions: Results suggest that psychological distress is an important aspect to be considered when dealing with CA patients. Integrating psychological assessment and support may improve patient outcomes by reducing disease burden and enhancing treatment adherence. Prospero registration number: CRD42023446913
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
AI-Driven Circular Waste Management Tool for Enhancing Circular Economy Practices in Healthcare Facilities
Full text linkThe increasing complexity in hospital waste management requires innovative solutions that integrate sustainability and regulatory compliance. This study proposes an AI-based decision tool to support the circular management of healthcare waste. The approach combines two key elements: (i) the systematic qualitative analysis of international, European, and national regulations, scientific literature, and best practices aimed at identifying strategic actions; (ii) the prioritization of these actions through machine learning, using a Random Forest classifier. We identified 55 actions, grouped into 13 thematic areas, and used them as input variables to assess their impact on regulatory compliance. The variable importance analysis allowed us to classify actions according to their strategic relevance, guiding the structure of the tool and its user interface. Validation, conducted on four simulated case studies, demonstrated the system's ability to improve compliance monitoring, operational efficiency, and the implementation of circular economy and Zero-Waste strategies. The proposed model represents a scalable and evidence-based solution capable of supporting the ecological transition of healthcare facilities in line with EU directives and the Sustainable Development Goals
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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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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