112,647 research outputs found
author-bios-SRD-19-0063.R1 – Supplemental material for The Network Structure of Police Misconduct
No full textSupplemental material, author-bios-SRD-19-0063.R1 for The Network Structure of Police Misconduct by George Wood, Daria Roithmayr and Andrew V. Papachristos in Socius</p
THE RAO'S BRIEF REAPETABLE BATTERY AND STROOP TEST: NORMATIVE VALUES WITH AGE, EDUCATION AND GENDER CORRECTIONS IN AN ITALIAN POPULATION
No full textGoing 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
Prediction of Atrial Fibrillation using Deep Learning techniques
No full textAtrial fibrillation (AF) is one of the most prevalent arrhythmias encountered in cardiological practice; it is a leading cause of stroke and heart failure and has a growing financial impact on the healthcare system. The aim of this study is to test the efficacy of deep learning in predicting AF. Early diagnosis can improve patients quality of life, reduce hospitalizations and minimize the financial impact on the health care system. Two methods for automatically predicting AF based on Convolutional Neural Networks (CNN) are proposed. The first model is characterized by a one-dimensional (1D) CNN network that takes, directly, electrocardiogram (ECG) signals as input, while the second model consists of a two dimensional (2D) CNN network that inputs image data corresponding to the numerical values of the most important events associated with each ECG waveform. The 1D-CNN model achieved an accuracy of 71.69%, while the 2D-CNN model reached 76.19%. The second method, in addition of being a novel approach to classification problem, reached a good score in predicting the outcome of atrial fibrillation
Valutazione dell’impatto della discarica controllata di rifiuti solidi urbani in località Pietramelina sul Torrente Mussino (Perugia).
No full textDigitalizing Circular Economy through Blockchains: The Blockchain Circular Economy Index
No full textThe integration of circular economy (CE) models into everyday contexts generates huge amount of data involved in goods tracking and tokenization procedures. The sector of blockchain platforms is extremely varied, and the choice of the proper technology is not easy. It is important that the selection is conducted consistently with respect to the CE models. With this study, we present a performance index named Blockchain Circular Economy Index (BCEI). BCEI, obtained through Multicriteria Decision Analysis and Analytic Hierarchy Process, aims to measure the suitability of blockchain platforms to the needs highlighted by a CE scenario. The present study is contextualized by comparing six blockchain platforms, for each of which, the related BCEI is calculated. The results of the analysis show that transaction fee and energy consumption are the two most critical parameters. In addition, the results show the lack of a leading blockchain technology in CE models. Thus, there is a market space that can be exploited given the growing interest in digital and sustainable issues
Variations on the Author
No full text“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
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