Results 101 to 110 of about 13,221 (260)

Medical Reasoning With Large Language Models: A Systematic Review and Evaluation

iNew Medicine, EarlyView.
ABSTRACT Large language models (LLMs) have achieved strong performance on medical exam–style tasks, motivating growing interest in their deployment in real‐world clinical settings. However, clinical decision‐making is inherently safety‐critical, context‐dependent, and conducted under evolving evidence.
Xiaohan Ren, Chenxiao Fan, Wenyin Ma, Hongliang He, Chongming Gao, Xiaoyan Zhao, Fuli Feng   +6 more
wiley   +1 more source

Toward Secure Electronic Voting: A Survey on E-Voting Systems and Attacks

IEEE Access
The trend of electronic voting has risen in recent years as an alternative to paper ballot elections, bringing meaningful benefits in terms of efficiency and error proneness.
Riccardo Barelli, Mario D'Onghia, Stefano Longari   +2 more
doaj   +1 more source

Early prediction of acute kidney injury in traumatic and non‐traumatic rhabdomyolysis using an interpretable machine learning model: A multicenter study with external validation

Journal of Intelligent Medicine, EarlyView.
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu, Jie Shi, Fengjuan Wang, Liang Ma, Huangang Hu, Li Zhang, Jie Song, Heng Jin, Dingwei Yang, Xiaoqin Guo, Haojun Fan, Qi Lv   +11 more
wiley   +1 more source

Belgium, Brazil, Estonia – three visions of electronic voting

Świat Idei i Polityki
The text analyzes the expanding role of technology in democracy, focusing on electronic voting (e-voting). With technological development, various fields have begun to use new solutions, and the same has occurred with democracy, which in this context ...
Julia Niesyn
doaj   +1 more source

Include Me: The Role of Disability Voice in Co‐Constructing the Workplace Inclusion of People With Disabilities

Journal of Organizational Behavior, EarlyView.
ABSTRACT People with disabilities (PWD) often face barriers to inclusion at work. To tackle this challenge, past research focused on the role of organizations to create more inclusive workplaces. What remains understudied, however, is the role that PWD often take themselves in shaping their inclusion experiences.
Louisa Antonia Riess, Sophie Theresa Schepp, Stephan Alexander Boehm   +2 more
wiley   +1 more source

Allocation of Indivisible Items With a Common Preference Graph: Minimizing Total Dissatisfaction

Networks, EarlyView.
ABSTRACT Allocating indivisible items among a set of agents is a frequently studied discrete optimization problem. In the setting considered in this work, the agents' preferences over the items are assumed to be identical. We consider a very recent measure for the overall quality of an allocation which does not rely on numerical valuations of the items.
Nina Chiarelli, Clément Dallard, Andreas Darmann, Stefan Lendl, Martin Milanič, Peter Muršič, Ulrich Pferschy   +6 more
wiley   +1 more source

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source

Robust Performance Loss Rate Calculation for Photovoltaic Systems in High Latitude Locations

Progress in Photovoltaics: Research and Applications, EarlyView.
This work studies the best methods for performance loss rate (PLR) calculation in high latitude locations, characterized by strong seasonal variability. As the different methods can drastically affect the PLR value, an ensemble method consisting of multiple approaches was validated to be essential in identifying robust PLRs.
Lauri Karttunen, Väinö Anttalainen, Sami Jouttijärvi, Juha A. Karhu, Hugo Huerta, Samuli Ranta, Anders V. Lindfors, Kati Miettunen   +7 more
wiley   +1 more source

An interdisciplinary review of the interplay of conflict, socio‐economic factors, and land cover and vegetation dynamics in Colombia

PLANTS, PEOPLE, PLANET, EarlyView.
Colombia's forests play a crucial role in preserving biodiversity and mitigating climate change, but they are currently facing severe degradation, particularly after the 2016 Peace Agreement. Our literature review highlights a growing research interest in this topic and demonstrates how interdisciplinary approaches combining diverse methods can enhance
Estefanía Muñoz, Jesús A. Anaya, Nicola Clerici, Lina M. Estupinan‐Suarez, Isabel Lopera, Solveig Richter, Alejandro Salazar, Carlos A. Sierra, Andrés Tangarife‐Escobar, Miguel D. Mahecha, David Montero, Pablo Palacios‐Rodríguez, Pablo Ramos, Santiago Botía   +13 more
wiley   +1 more source

Multimodal artificial intelligence in medical biotechnology: Integrating genomics, imaging, and clinical data for precision therapeutics

Precision Medical Sciences, EarlyView.
Overview of multimodal artificial intelligence (AI) for precision therapeutics. Diverse biomedical data modalities, including multi‐omics, medical imaging, digital pathology, electronic health records, wearable‐device data, and molecular information, are integrated through multimodal AI frameworks incorporating fusion strategies, foundation models ...
Gedion Mengistu Dejen
wiley   +1 more source