Results 201 to 210 of about 88,565 (289)

How to Conduct a Multi‐Domain Systematic (Literature) Review? Guidelines Using The Lotus Protocol

Psychology &Marketing, Volume 43, Issue 6, Page 1297-1326, June 2026.
ABSTRACT Complex challenges increasingly demand multidisciplinary research across intersecting knowledge domains. However, existing systematic (literature) review protocols offer limited guidance and tend to confine scholars to single‐domain or single‐intersection reviews.
Bart J. A. van Bueren, Weng Marc Lim, Naveen Donthu, Kevin Argus, Julian M. Water‐Lynch, Alvedi Sabani, Mark A. A. M. Leenders   +6 more
wiley   +1 more source

Data-Driven Multi-Objective Optimization of Drilling Performance in Multi-Walled Carbon Nanotube-Reinforced Carbon Fiber-Reinforced Polymer Nanocomposites. [PDF]

Polymers (Basel)
Kirli Akin H.
europepmc   +1 more source

Learning Outcomes That Maximally Differentiate Psychiatric Treatments

International Journal of Methods in Psychiatric Research, Volume 35, Issue 2, June 2026.
ABSTRACT Objectives To develop a statistical method that uncovers clinically meaningful differences between active psychiatric treatments, even when traditional rating scales fail to do so. Methods We introduce Supervised Varimax (SV), a novel algorithm that transforms individual items from clinical rating scales into a small set of optimized outcomes ...
Eric V. Strobl, Semmie Kim
wiley   +1 more source

Class-balanced dermoscopic lesion segmentation using MoG-LISA and optimized Swin-UNet via the GM-FDE framework. [PDF]

iScience
Muthamil Selvan S, Kavitha R.
europepmc   +1 more source

Finding Maximum Weight 2‐Packing Sets on Arbitrary Graphs

Networks, Volume 87, Issue 4, Page 404-427, June 2026.
ABSTRACT A 2‐packing set for an undirected, weighted graph G=(V,E,w) is a subset 𝒮⊆V such that any two vertices v1,v2∈𝒮 are not adjacent and have no common neighbors. The Maximum Weight 2‐Packing Set problem that asks for a 2‐packing set of maximum weight is NP‐hard.
Jannick Borowitz, Ernestine Großmann, Christian Schulz   +2 more
wiley   +1 more source

WHFDL: an explainable method based on World Hyper-heuristic and Fuzzy Deep Learning approaches for gastric cancer detection using metabolomics data. [PDF]

BioData Min
Mahdavi N, Daliri A, Zabihimayvan M, Yaghooti Y, Mir MM, Ghazanfari P, Zarrabi A, Khalaj P, Sadeghi R.   +8 more
europepmc   +1 more source

Mental Health Risk Detection From Social Media Text Data: A Scoping Review of the Machine Learning Research Landscape

PsyCh Journal, Volume 15, Issue 3, June 2026.
ABSTRACT Machine learning approaches have been increasingly applied to social media text data for mental health risk detection. However, existing studies vary widely in target outcomes, data sources, labeling strategies, and evaluation practices, and a structured overview of recent research remains limited.
Yiqing He, Yinning He, Darong Liu
wiley   +1 more source

Fuzzy-based multi-objective scheduling for human-robot manufacturing systems. [PDF]

Sci Rep
Deng Y, Huang B, Lai S.
europepmc   +1 more source

From Levin's Universal Search to Policy-Guided Tree Search. [PDF]

Entropy (Basel)
Li M.
europepmc   +1 more source

Conceptualizing age‐appropriate social media to support children's digital futures

British Journal of Developmental Psychology, Volume 44, Issue 2, Page 300-312, June 2026.
Abstract Is there really a ‘right age’ for social media? As governments rush to regulate children's digital lives, age‐based bans and ‘age‐appropriate’ design regulations are gaining international momentum. However, these are often based on theoretically dated ‘ages and stages’ models and blunt age thresholds.
Sonia Livingstone, Kim R. Sylwander
wiley   +1 more source