Results 91 to 100 of about 26,599 (293)
Strengthening collaboration and coordination between biodiversity and chemicals and waste clusters
There is a great urgency to address biodiversity loss and chemicals and waste pollution. These global challenges are intertwined in many ways. Pollution is identified as one of the main drivers of biodiversity loss.
Harrison, Jerry
core +1 more source
Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany
ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever +2 more
wiley +1 more source
Background Artificial intelligence (AI) has fundamentally transformed tourism and hospitality marketing through enhanced data-driven decision-making, personalized customer experiences, and intelligent destination management.
Pankaj Kumar Tyagi +4 more
doaj +1 more source
Unsupervised Thematic Clustering Of hadith Texts Using The Apriori Algorithm
This research stems from the urgency to automate the thematic grouping of hadith in line with the growing digitalization of Islamic texts. Based on a literature review, the unsupervised learning approach with the Apriori algorithm has proven effective in identifying association patterns and semantic relations in unlabeled text data. The dataset used is
Wisnu Uriawan +5 more
openaire +2 more sources
ABSTRACT Since the final decade of the 20th century, Latin American countries have increasingly regarded the signing of regional trade agreements (RTAs) as a promising strategy for expanding their exports. Within this context, the main objective of this study is to assess the impact of RTAs on agri‐food exports in Latin America over the period 1990 ...
María‐Isabel Ayuda +2 more
wiley +1 more source
Management control meets AI: From data-driven literature review to research gap
The integration of artificial intelligence (AI) into academic research constitutes a high?impact instrument for managing scientific knowledge. Building on these capabilities, this paper presents a data?driven literature review that explores the ...
Omar Feria Alonso +3 more
doaj +3 more sources
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Public speaking anxiety (PSA) is a widespread condition with profound psychological, educational, and occupational consequences. Despite increasing academic attention, few studies have systematically mapped the thematic development of PSA research or ...
Mocheng Lin, Yi Sun, Lang Chen
doaj +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source

