1,721,332 research outputs found
How to Annotate Emotions in Historical Italian Novels: a Case Study on I Promessi Sposi
No full textThis paper describes the annotation of a chapter taken from I Promessi Sposi, the most famous Italian novel of the 19th century written by Alessandro Manzoni, following 3 emotion classifications. The aim of this methodological paper is to understand: i) how the annotation procedure changes depending on the granularity of the classification, ii) how the different granularities impact the inter-annotator agreement, iii) which granularity allows good coverage of emotions, iv) if the chosen classifications are missing emotions that are important for historical literary texts. The opinion of non-experts is integrated in the present study through an online questionnaire. In addition, preliminary experiments are carried out using the new dataset as a test set to evaluate the performances of different approaches for emotion polarity detection and emotion classification respectively. Annotated data are released both as aggregated gold standard and with non-aggregated labels (that is labels before reconciliation between annotators) so to align with the perspectivist approach, that is an established practice in the Humanities and, more recently, also in NLP
Computational evaluation of intraventricular pressure gradients based on a fluid-structure approach
No full textJOURNAL OF BIOMECHANICAL ENGINEERIN
Bioengineering of the heart
Full text linkThe cardiovascular system is an extremely complex organ system made up of the heart and blood vessels, representing many connected, constantly moving tissue components that give rise to a multitude of cellular and tissue level dysfunctions and diseases—more people die of cardiovascular disease (CVD) than any other disease globally. Cardiovascular disease (CVD) represents a broad range of interrelated disorders, including hypertension, heart attack and failure, valve failure, arrhythmia, stroke, and cardiomyopathies. While there are many drivers of CVD, age-related hardening of (arteriosclerosis) and plaque buildup within (atherosclerosis) the arteries are recognized as the underlying causes. Strategies for diagnosis, follow up, and care associated with CVD are unfortunately largely inadequate. Despite the paradigmatic shift from an experienced-based approach to an evidence-based approach in clinical care, the field remains hampered by the substantial amount of data needed for more effective prevention, risk stratification or care, and the complex interrelationships of multifarious different factors determining the ultimate fate of a given pathology. Given the substantial biological and physiological complexity and the range of comorbidities that contribute to the etiology and progression of CVD, it is vital that we continue to develop better understanding and novel technologies to address what is one of the fastest growing causes of death worldwide
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
Response to letter to the editor: On the calculation of the binding force between decorin and collagen
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