Results 211 to 220 of about 13,697,652 (304)

Does Contract Farming Reduce Pesticide Use? Panel Data Evidence From Smallholder Farmers in China

Agribusiness, EarlyView.
ABSTRACT The inappropriate and excessive use of pesticides poses a major threat to human and ecosystem health in the agri‐food sector. While existing studies have examined the potential of contract farming to address this issue, most have focused on large‐scale farms and relied on small or transactional datasets, often leaving the role of crop‐specific
Zhihui Liang, Shan Jin, Matthew Gorton
wiley   +1 more source

Estimation of Import Demand Functions of Two Key Food and Feed Commodities (Corn and Soybean) for India

Agribusiness, EarlyView.
ABSTRACT The derived demand for the increased demand for meat and dairy products is clearly observed in the fast‐paced growth of the Indian feed industry and its increased demand for agricultural commodities (e.g., corn, soybean, rice, wheat, broken rice, millet, etc.) as feed ingredients.
Dwiti Baruah Thapa, Sanjib Bhuyan, Kishor Goswami   +2 more
wiley   +1 more source

Workplace harassment and violence in the public sector: an integrative literature review. [PDF]

Rev Bras Med Trab
Vito LG, Coimbra MAR, Sanfelice RC.
europepmc   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Seroprevalence and risk factors of Helicobacter pylori infection among public sector employees in Kuwait. [PDF]

BMC Res Notes
Bennakhi HA, Al-Muhanna A, Shehab MA, Al-Ali J.   +3 more
europepmc   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Work-related psychosocial factors and working life expectancy among Finnish public sector employees aged 50 years or older. [PDF]

Scand J Work Environ Health
Haukka E, Heikkilä K, Pentti J, Vahtera J, Chungkham HS, Zaninotto P, Kivimäki M, Ervasti J, Stenholm S.   +8 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Age at First Dental Visit of Preschool Children Utilizing Public Sector Dental Services in Southeast Queensland, Australia: A Retrospective Cohort Study. [PDF]

J Public Health Dent
Nation A, Stormon N, Foley M, Lalloo R.
europepmc   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source