Results 111 to 120 of about 12,131 (263)

Pioneering the canine model in microbiota–gut–brain research for social and affective disorders

open access: yesiMetaOmics, EarlyView.
This commentary highlights the translational potential of canine models in investigating the microbiota–gut–brain (MGB) axis, focusing on their relevance to human social cognition and affective disorders, including major depressive disorder and autism spectrum disorder.
Yun Yu   +8 more
wiley   +1 more source

Academic Resilience in Contexts of Inequality: Motivational and Self‐Efficacy Profiles of Disadvantaged High Achievers

open access: yesJournal of Adolescence, EarlyView.
ABSTRACT Introduction Socioeconomic disparities in academic achievement are well‐documented in France and emerge early in schooling. Yet, a subset of students from socioeconomically disadvantaged backgrounds attains high academic performance, challenging deterministic accounts of educational inequality.
Margot Rémeau   +2 more
wiley   +1 more source

Occipital lobe epilepsy presenting as content‐specific reading‐induced seizures

open access: yes
Epileptic Disorders, EarlyView.
Christopher M. Kyper   +2 more
wiley   +1 more source

Ameliorating Linguistic Anchors of Oppression

open access: yesJournal of Applied Philosophy, EarlyView.
ABSTRACT The words we use to represent the world shape how we interpret and respond to it; language frames what it represents. In some cases, these frames can have prejudicial effects; for example, ‘workplace flirting’ versus ‘sexual harassment’. This article examines how specific words and phrases (i.e.
Emilia L. Wilson
wiley   +1 more source

Feasibility of Comprehensive Genomic Profiling for Biliary Tract Cancer Using Transpapillary Biopsy Samples: A Prospective Study

open access: yesJournal of Hepato-Biliary-Pancreatic Sciences, EarlyView.
Graphical summary of the study design, intervention, and outcomes. ABSTRACT Background Patients with biliary tract cancer (BTC) often have actionable mutations, and comprehensive genomic profiling (CGP) plays an important role. However, the feasibility of CGP using transpapillary biopsy (TPB) samples remains unclear.
Kazuya Miyamoto   +9 more
wiley   +1 more source

Does AI at Work Increase Stress? Text Mining Social Media About Human–AI Team Processes and AI Control

open access: yesJournal of Organizational Behavior, EarlyView.
ABSTRACT With rising use of artificial intelligence (AI) in organizations, alongside increasing mental health issues, we seek to understand how AI use affects human stress. Drawing on the automation–augmentation perspective, we propose that AI control over decision‐making thwarts human autonomy and thus contributes to stress.
Florian Klonek, Sharon Parker
wiley   +1 more source

Linking Age‐Diversity Practices and Company Ratings Over Time: Evidence From Employer Reviews and a Longitudinal Experiment

open access: yesJournal of Organizational Behavior, EarlyView.
ABSTRACT As global populations age, organizations face increasing pressure to support an age‐diverse workforce. Although age‐diversity practices have been shown to yield individual benefits, their temporal impact on broader evaluations of the organization such as employees' company ratings remains underexplored.
Claudia C. Kitz   +3 more
wiley   +1 more source

Targeting online sales through last‐mile delivery platform integration

open access: yesJournal of Operations Management, Volume 71, Issue 2, Page 195-219, March 2025.
Abstract We analyze channel integration between a last‐mile delivery platform and a general merchandise retailer in two distinct stages: (1) platform delivery access (PDA), where the retailer continues to offer standard delivery through its own website but directs customers to the platform's website for new same‐day delivery; and (2) integrated ...
Kevin H. Park   +2 more
wiley   +1 more source

Unsupervised phenotyping of the periodontal architecture through high‐dimensional clustering of electronic health records: A multicenter study

open access: yesJournal of Periodontology, EarlyView.
Abstract Background To identify novel periodontal phenotypes using unsupervised machine learning on a large‐scale, multicenter cohort, specifically characterizing disease patterns based on the “periodontal architecture” of localized structural failures (tooth mobility and molar furcation defects) rather than global severity averages alone. Methods This
Georgios S. Chatzopoulos, Larry F. Wolff
wiley   +1 more source

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