Results 231 to 240 of about 4,526,285 (296)

Is There a Market for Organic Milk in Serbia? Insights From Integrated Choice and Latent Variable Model

Agribusiness, EarlyView.
ABSTRACT Past growth in the global organic market has been concentrated in high‐income countries, while in middle‐income countries such as Serbia the organic market remains nascent and characterized by a sparse assortment of organic products, high retail premia and limited evidence on consumer preferences and their drivers.
Milan Tatic, Sanja Dzever, Bojan Matkovski, Danilo Djokic   +3 more
wiley   +1 more source

[Administrative work program of de Educational Research and Teacher Training Center in Puebla]. [PDF]

Rev Med Inst Mex Seguro Soc
Ruiz-Barrón BE, Guerrero-Barrios S, Ramírez-Dueñas LK, Méndez-Martínez S, Ayón-Aguilar J, García-Flores MA.   +5 more
europepmc   +1 more source

Workplace Harassment and Consideration of Leaving Surgical Practice: A Nationwide Survey by the Japanese Society of Gastroenterological Surgery

Annals of Gastroenterological Surgery, EarlyView.
In this nationwide survey of 1967 members of the Japanese Society of Gastroenterological Surgery, 66% reported experiencing workplace harassment, and 56% of those affected had considered leaving surgical practice. These findings highlight the need for sustained, society‐wide efforts to prevent harassment and foster respectful and psychologically safe ...
Keisuke Kurimoto, Tsutomu Fujii, Yoshihiro Shirai, Atsuro Fujinaga, Masayuki Fukumoto, Sonoko Ishida, Koya Hida, Chie Tanaka, Tsunekazu Mizushima, Sachiyo Nomura, Ken Shirabe   +10 more
wiley   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

The Evolution of Mindfulness-Based Stress Reduction Teacher Training Programs for People Who Serve Historically Underrepresented Racial and Ethnic Groups. [PDF]

Glob Adv Integr Med Health
Dejene A, Carter Z, Woo E, Sun S, Loucks EB, Proulx J.   +5 more
europepmc   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source