Abgrall, Gwénolé Chelly Dagdia, Zaineb Zeitouni, Karine Monnet, Xavier
Abstract In the high-stakes realm of critical care, where daily decisions are crucial and clear communication is paramount, comprehending the rationale behind Artificial Intelligence (AI)-driven decisions appears essential. While AI has the potential to improve decision-making, its complexity can hinder comprehension and adherence to its recommenda...
Kepp, Kasper Aavitsland, Preben Ballin, Marcel Balloux, Francois Baral, Stefan Bardosh, Kevin Bauchner, Howard Bendavid, Eran Bhopal, Raj Blumstein, Daniel
...
Consensus statements can be very influential in medicine and public health. Some of these statements use systematic evidence synthesis but others fail on this front. Many consensus statements use panels of experts to deduce perceived consensus through Delphi processes. We argue that stacking of panel members toward one particular position or narrat...
Dudda, Leonie A.; Kozula, Magdalena; 161624; Ross-Hellauer, Tony; Kormann, Eva; Spijker, René; DeVito, Nicholas; Gopalakrishna, Gowri; Van den Eynden, Veerle; 137709; Onghena, Patrick; 15697; Naudet, Florian;
...
BACKGROUND: Many interventions, especially those linked to open science, have been proposed to improve reproducibility in science. To what extent these propositions are based on scientific evidence from empirical evaluations is not clear. AIMS: The primary objective is to identify Open Science interventions that have been formally investigated rega...
Notermans, Pierre
peer reviewed / The aim of this research is to address the recent interpretation of the Court of Justice of the European Union (CJEU) in data protection cases. It especially focuses on data access requests from data subjects, and the associated transparency requirements. We found that the Court seems to adopt a protective approach of individual’s p...
Bouchiha, Mouhamed Amine Telnoff, Quentin Bakkali, Souhail Champagnat, Ronan Rabah, Mourad Coustaty, Mickaël Ghamri-Doudane, Yacine
Large Language Models (LLMs) have witnessed rapid growth in emerging challenges and capabilities of language understanding, generation, and reasoning. Despite their remarkable performance in natural language processing-based applications, LLMs are susceptible to undesirable and erratic behaviors, including hallucinations, unreliable reasoning, and ...
Kinda, Harouna Mien, Edouard
Natural resources are known to hinder financial development in countries with weak institutions. We hypothesize that the Extractive Industries Transparency Initiative, an international norm aimed at promoting transparency in natural resource management, can mitigate this effect. Using fixed effects and entropy balancing methods, we provide empirica...
Amedanou, Isaac Laporte, Bertrand
Our study reexamines the link between country risk and government take, following research by Adebayo et al. (2021). Our approach complements theirs. We study the mining tax policy choices in an environment of uncertainty and risk country for twenty-one African gold-producing countries. We calculate a de jure government take based on the complete a...
Yakpovi, Codjo Nélima Kacha, Mathieu Herrmann, Jean-Luc
International audience
Saucède, Florent Sirieix, Lucie Jayakumar, Archana Jenhani, Farah
Consumer distrust in the Food Supply Chain (FSC) has resulted in manufacturers and retailers striving to enhance their supply chains to be inclusive, resilient, sustainable, and transparent/traceable (Friedman & Ormiston, 2022). Blockchain, “a digital, decentralized and distributed ledger in which transactions are logged and added in chronological ...
Karakitsos, Panagiotis Mylonas, Konstantinos S
Published in
International journal of cardiology
The rising concern of irreproducible and non-transparent studies poses a significant challenge in modern medical literature. The impact of this issue on cardiology, particularly in the subfield of heart failure, remains poorly understood. To address this knowledge gap, we assessed the quality of evidence presented in recent heart failure meta-analy...