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Jerry Jacques,Jé,ré,my Grosman,Anne-Sophie Collard,Yeonju Oh,Amie Kim,Hyeon-Seon Jeong 경인교육대학교 교육연구원 2020 The Journal of Education Vol.3 No.1
Recommendation algorithms play an important role in the current media landscape by fostering interactions between users of digital media platforms and media content. The growing concern with recommendation algorithms raises important questions for media educators who emphasize critical analysis of media content and creative production and are required to develop media education initiatives focused on a critical understanding of digital platforms and their underlying technical infrastructures. What are teenagers’ current perception and experiences of recommendation algorithms? What should be the key issues these initiatives should address, and how should they be addressed? The In the Shoes of an Algorithm project approached these questions through design-based research (DBR). This project led to the creation of a series of pen-and-paper games designed to (1) help teenagers share their daily experiences of recommendation algorithms to identify core issues that should be addressed by media educators and (2) to foster a better understanding of key issues related to recommendation algorithms used by digital media platforms. The project was initiated in Belgium and expanded as an international program, in collaboration with South-Korean researchers and practitioners.
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Why Would Overconfidence Generate Lower Performance? Insights from an Experimental Study
M. Martin Boyer,Laurence Dumont,Jé,rô,me Martin,Pierre-Majorique Lé,ger 국제금융소비자학회 2020 The International Review of Financial Consumers(IR Vol.5 No.2
Overconfidence is recognized as one of the most important behavioral biases in decision-making. Using results from a controlled lab experiment we find that participants who display more confidence perform worse than other participants, whereas participants who say they are confident do not perform worse. We also find evidence that more confident traders also have lower visual attention levels (using an eye-tracking software), lower visual working memory (measured using an “n-back 1” test), and higher physiological arousal (using electro-dermal activity). Although conducted using a small sample of novice traders, our findings represent a first step in explaining how overconfidence and performance are related in financial markets.
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Paola Rampelotto Ziani,Jacson Gabriel Feiten,Jé,ferson Ferraz Goularte,Rafael Colombo,Bá,rbara Antqueviezc,Luiza Paul Gé,a,Adriane Ribeiro Rosa 대한정신약물학회 2022 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.20 No.2
Bipolar disorder (BD) is one of the most disabling diseases characterized by severe humor fluctuation. It is accompanied by cognitive and functional impairment in addiction to high suicide rates. BD is often underdiagnosed and treated incorrectly because many of the reported symptoms are not exclusive to the disorder. Once the diagnosis is exclusively clinical, it is not possible to state precisely. From that, proteomic approaches were used to identify, in a large scale, all proteins involved in cellular or tissue processes. This review aggregate data from blood proteomes, by using protein association network, of subjects with BD and healthy controls to suggest dysfunctional molecular pathways involved in disease. Original articles containing proteomic analysis were searched in PubMed. Seven studies were selected and data were extracted for posterior analysis. A protein-protein interaction network was created by STRING database. A final set of proteins in this network were employed as input in ClueGO and, the main biological process was visualized using R package pathview. The analysis revealed proteins associated with many biological processes, including growth and endocrine regulation, iron transportation, protease inhibition, protection against pathogens and cholesterol transport. Moreover, pathway analysis indicated the association of uncovered proteins with two main metabolic pathways: complement system and coagulation cascade. Thus, a better understanding on the pathophysiology of psychiatric disorders and the identification of potential biomarker candidates are essential to improve diagnostic, prognostic and design pharmacological strategies.
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