Results 151 to 160 of about 136,207 (260)

An exploratory study into the relationship between sycophantic behavior in large language models and military decision makers engaged in naturalistic decision making

AI Magazine, Volume 47, Issue 3, Fall 2026.
Abstract In an attempt to gain the decision advantage, military commanders in the contemporary decision space are facing increasing pressure to conceptualize information at speed. With the rapid proliferation of AI, the tech industry has pivoted to capitalize on the opportunity, and growing demand, to support commanders in their application of a craft ...
Colm Fahy, Nick McDonald, Kevin Keenan, Siobhán Corrigan   +3 more
wiley   +1 more source

RescueLens: LLM‐powered triage and action on volunteer feedback for food rescue

AI Magazine, Volume 47, Issue 3, Fall 2026.
Abstract Food rescue organizations simultaneously tackle food insecurity and waste by working with volunteers to redistribute food from donors who have excess to recipients who need it. Volunteer feedback allows food rescue organizations to identify issues early and ensure volunteer satisfaction.
Naveen Janaki Raman, Jingwu Tang, Zhiyu Chen, Zheyuan Ryan Shi, Sean Hudson, Ameesh Kapoor, Fei Fang   +6 more
wiley   +1 more source

Machine‐learning prediction of urine‐culture positivity in a multicentre test‐ordered cohort: Model development and internal validation

BJUI Compass, Volume 7, Issue 9, September 2026.
Abstract Objectives This study aim to develop, compare and internally validate machine‐learning models for predicting urine‐culture positivity in patients who had both urinalysis and culture ordered and to explore descriptive probability strata. Post hoc secondary analyses examined age subgroups, the incremental contribution of text‐derived features ...
Isaac Samir Wasfy, Jamal Ahmad, Hany Elsegeay, Mohamed F. Elebiary, Ahmed Haty, Eman M. El‐Dydamony, Ahmed Mohamed Soliman, Ahmed Alrefaey, Hesham Abozied, Mohamed Algammal, Hossam A. Shouman, Maha M. Elzamek, Ahmed Abdel Galil Saleh, Ahmed Fetyan Abdelazim Shafi, Osama Mostafa Abdalla Mohamed   +14 more
wiley   +1 more source

Artificial Intelligence Resources for the Screening of Titles and Abstracts in Systematic Reviews: A Scoping Review

Cochrane Evidence Synthesis and Methods, Volume 4, Issue 5, September 2026.
ABSTRACT Introduction Artificial intelligence (AI) is a branch of technology enabling machines to emulate complex human skills; it can also entail problem‐solving using bioinspired methods. It is used for automating systematic literature reviews (SLR), that is, defining a clinical question, locating relevant literature, preliminary screening, study ...
Ana M. Barragán, Sara Elena Ortiz Bonett, Eliana‐Isabel Rodríguez‐Grande, Alvaro David Orjuela‐Cañón, Oscar J. Perdomo, Guillermo Sánchez‐Vanegas   +5 more
wiley   +1 more source

Quantifying domain-specific relevance of computational biology Wikipedia articles using TF-IDF and cosine similarity. [PDF]

Bioinformatics
Pradeep Menon A, Davis T, Hegde M, Näpflin NC, Anjum A, Barman S, DeBlasio D, Eranti P, Nebel JC, Sélem-Mojica N, Shome S, Welch LR, Kilpatrick AM, Rahman F.   +13 more
europepmc   +1 more source

Autonomous Leadership: How Board Independence Shapes Machine Learning Based Corporate Culture in Thailand

Corporate Social Responsibility and Environmental Management, Volume 33, Issue 5, Page 6838-6854, September 2026.
ABSTRACT Corporate culture is a critical driver of corporate social responsibility, shaping how firms internalize sustainability, social and environmental concerns, yet its governance antecedents are less understood. Motivated by the need to understand how governance structures affect organizational values and behavior, we explore the relationship ...
Sirimon Treepongkaruna, Stefano Starita
wiley   +1 more source

NeuroNetFusion: enhanced EEG abnormality classification via multi-network TF-IDF feature selection. [PDF]

Sci Rep
Ahn S, Kim SY, Sohn KA.
europepmc   +1 more source

Ranked Document Retrieval for Two-Pattern Queries with TF-IDF Scoring

The ranked document retrieval problem asks us to preprocess a collection of texts (called documents) of total length $n$ so that, given a string $P$ (called pattern) and an integer $k$, we can efficiently report the $k$ documents most relevant to $P$.The
Rahul Shah, Shashank Ajit Walke, Sharma V. Thankachan, Arnab Ganguly   +3 more
core   +1 more source

Tracking Climate and Environmental Attention: A News‐Based Composite Index

Corporate Social Responsibility and Environmental Management, Volume 33, Issue 5, Page 7095-7123, September 2026.
ABSTRACT This study introduces the Climate and Environmental Attention Index, a composite indicator that tracks media attention to climate and environmental issues. Based on the Semantic Brand Score, the proposed index extracts significant signals from unstructured text, going beyond traditional measures of word frequency and sentiment.
Gianna Figà‐Talamanca, Andrea Fronzetti Colladon, Barbara Guardabascio, Ludovica Segneri   +3 more
wiley   +1 more source

Differential Expression of Human and Bacterial Proteins Reveals Microbiome–Host Crosstalk in Metabolic Disorders

PROTEOMICS – Clinical Applications, Volume 20, Issue 5, September 2026.
ABSTRACT Purpose The growing prevalence of obesity, MetS, and T2DM highlights the need to better understand host–microbiota interactions. While gut microbiota has been widely investigated, interactions between the oral microbiota and human salivary proteins remain largely unexplored.
Carlos Vinicius Ferreira da Silva, Carlos José Ferreira da Silva, Fernanda da Silva Marinho, Youssef Bacila Sade, Sandra Mara Naressi Scapin, Fabiano L. Thompson, Cristiane Thompson, Eidy de Oliveira Santos   +7 more
wiley   +1 more source