Results 111 to 120 of about 6,978,157 (239)

Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany

Agribusiness, EarlyView.
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, Marius Michels, Oliver Musshoff   +2 more
wiley   +1 more source

Reduced‐Port Versus Multi‐Port Laparoscopic Colectomy for Colorectal Cancer: A Systematic Review, Meta‐Analysis, and Meta‐Regression

Annals of Gastroenterological Surgery, EarlyView.
Reduced‐port laparoscopic colectomy (RPLC) for colorectal cancer offers modest intraoperative benefits, including shorter operative time and lower blood loss, while maintaining comparable postoperative recovery, lymph node yield, and complication rates to multi‐port laparoscopic colectomy (MPLC).
Ayesha Shaukat, Saad Ashraf, Hamza Irfan, Muhammad Shahmeer Ullah Shah, Yumna Khabir, Santosh Sah, Um E. Abiha Batool, Muhammad Zain Ul Haq, Omer Bin Khalid Jamil, Aymar Akilimali   +9 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

The A.C.E. Theory of persuasion in entrepreneurship: a study of Indian higher education

Cogent Economics & Finance
This study examines the serial mediation and moderation effects of perceived appropriateness (PA) and perceived effectiveness (PE) on entrepreneurial intention (EI) among students of Indian higher education institutions (HEIs).
Pushparaj M. Nayak, Mathew Thomas Gil, Harish Joshi, Madhukara Nayak   +3 more
doaj   +1 more source

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Exploring persuasion and participation in online knowledge payment – a dual-route perspective

Humanities & Social Sciences Communications
The intersection of digital technology and the knowledge economy has led to the rapid development of the online knowledge payment (OKP) industry, which has attracted increasing attention from scholars across various disciplines. However, research in this
JIE GAO, Siti Hasnah Hassan
doaj   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

The power of social media influencers: unveiling the impact on consumers’ impulse buying behaviour

Humanities & Social Sciences Communications
This study investigates the role of communication factors in influencer marketing communication in influencing trust in influencer’s branded posts, subsequently impacting the urge to buy impulsively (UBI). In addition, the study also examines the role of
Komal Shamim, Muhammad Azam
doaj   +1 more source