Results 111 to 120 of about 4,013 (222)

The humanitarian–development–peace (triple) nexus: a typology and critical reflections

Disasters, Volume 50, Issue 4, October 2026.
Abstract This article explores how the humanitarian–development–peace (HDP) nexus (also known as the triple nexus) is operationalised, moving beyond policy discourse to implementation on the ground. Drawing on a systematic literature review, programme analysis, and field‐based observation, it proposes three operational approaches to the HDP nexus ...
Rodrigo Mena
wiley   +1 more source

A Systematic Review and Taxonomy of Fall Detection in Geriatric Care: Current State, Challenges, and Applications

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of fall‐detection approaches and technologies in geriatric care. ABSTRACT This systematic review provides a critical examination of fall detection (FD) technologies in geriatric care, analyzing both technological innovations and implementation challenges across diverse healthcare environments.
Hamid Ali, Ji Zhang, Xiaohui Tao, Raj Gururajan, Xujuan Zhou, Yuquan Gan, Josh Jia‐Ching Ying   +6 more
wiley   +1 more source

Consumer Behavior Analysis in Digital Marketing Using AI and Big Data Analytics: A Narrative Review and Methodological Taxonomy

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
AI and Big Data in Consumer Behavior Analysis. ABSTRACT The rapid expansion of digital consumer data has challenged traditional approaches to understanding behavior in digital marketing. Existing reviews often focus on individual methods and give limited guidance on how analytical techniques compare or how they should be selected for specific marketing
Leonidas Theodorakopoulos, Alexandra Theodoropoulou   +1 more
wiley   +1 more source

Conditional Gains: When AI Investment Enhances Firm Efficiency

Scottish Journal of Political Economy, Volume 73, Issue 4, September 2026.
ABSTRACT The rapid adoption of artificial intelligence (AI) has raised questions about its effect on firm performance. Using a labor‐based measure of AI investment, the baseline results show no direct association between AI investment and firm efficiency.
Pantelis Kazakis
wiley   +1 more source

Why human connection is the true metric of research success

FEBS Open Bio, Volume 16, Issue 8, Page 1442-1451, August 2026.
Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan, Mattias Wei Ren Kon, Xavier Coumoul, Fun Man Fung   +3 more
wiley   +1 more source

An interpretable radiomics–deep learning nomogram from whole‐body bone scintigraphy for MDP‐avid bone metastasis prediction in NSCLC

Journal of Applied Clinical Medical Physics, Volume 27, Issue 8, August 2026.
Abstract Background Whole‐body bone scintigraphy (WBS) remains a widely used first‐line screening tool for bone metastasis, but differentiating MDP‐avid metastatic lesions from benign bone abnormalities in non‐small cell lung cancer (NSCLC) remains challenging. Purpose To develop and externally validate a radiomics and deep learning bone signature (RDB)
Weihao Zhai, Xiaolin Li, Qian Zhou, Taohu Zhou, Yi Wang, Xiuxiu Zhou, Xin'ang Jiang, Ziwei Zhang, Qianxi Jin, Shiyuan Liu, Li Fan   +10 more
wiley   +1 more source

Engagement of understudied populations as community change: The South Texas ADRC model

Alzheimer's &Dementia, Volume 22, Issue 8, August 2026.
Abstract Many populations experiencing the highest burdens of Alzheimer's disease and related dementias remain understudied, in part because traditional recruitment and retention models are insufficient to support sustained engagement. The Outreach, Recruitment, and Engagement Core (OREC) of the South Texas Alzheimer's Disease Research Center ...
Gladys E. Maestre, Neela K. Patel, Rosa V. Pirela, Robin C Hilsabeck, Kendra Stine, Fayron R. Epps, Neyra Garcia, Stephanie Santiago‐Mejias, Roberto Reyes, Claudia L. Satizabal, Silvia Mejia‐Arango, A. Campbell Sullivan, Omar Oropeza, Monica Gireud‐Goss, Hector Rodriguez, Hector Trevino, Andrea Ramirez, Vanessa M. Young, Ney Alliey‐Rodriguez, Ashley LaRoche, Carlos J. Martinez‐Menendez, Jeremy A. Tanner, Leah Otto, Cynthia De La Garza‐Parker, Noe Garza, Melissa Flores, Norene Casas, Sylvia Robles, Angelica Davila, Cristian A. Maestre, Eric Shipp, Jesus D. Melgarejo, Gabriel A. de Erausquin, Sarah Williams‐Blangero, Sudha Seshadri   +34 more
wiley   +1 more source

A novel hybrid deep learning framework for customer churn prediction using RFM and embedding clustering. [PDF]

Sci Rep
Ibrahim S, Tawfik BS, Makhlouf MA, Hafiz B.   +3 more
europepmc   +1 more source

Successful Single‐Session Neural Self‐Regulation Through Neurofeedback Varies Between Features

Human Brain Mapping, Volume 47, Issue 11, 01 August 2026.
We demonstrate that the ‘non‐learner’ problem is not a universal personal trait: using an intra‐subject cross‐over design, all participants successfully regulated multiple rhythms despite failing to modulate Theta. We identify distinct learning trajectories, highlighting the importance of frequency specificity in neural self‐regulation.
Syrjänen E, Silva J, Astrand E
wiley   +1 more source

A new perspective on data leakage prevention and adaptive attention in telecom churn prediction. [PDF]

Sci Rep
Le DT, Nguyen MT.
europepmc   +1 more source