Results 51 to 60 of about 588 (212)

Impact of Sustainable Agricultural Practices on Labor Use Among Rice Farmers in the Mekong Delta of Vietnam

Agribusiness, EarlyView.
ABSTRACT The Mekong Delta (MKD), Vietnam has achieved high rice productivity through rapid intensification. However, this progress has led to environmental degradation and adverse economic and health effects. To mitigate these challenges, sustainable agricultural practices (SAPs) have been promoted.
Nguyen Thi Thu Hien, Ho Thanh Tam, Koji Shimada, Hoang Ha Anh, Nguyen Van Cuong, Le Cong Tru   +5 more
wiley   +1 more source

The Role of Certifications in Improving Household Food Security Among Peruvian Farmers

Agribusiness, EarlyView.
ABSTRACT Achieving global food security requires sustainable transformations in agri‐food systems. Voluntary Sustainability Standards (VSS) such as Organic and Fairtrade aim to internalize certain social and environmental costs while promoting more equitable value distribution, improved market access, and sustainable production practices.
Lisa‐Marie Schulte, Awudu Abdulai
wiley   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

Location of Zeros of Chromatic and Related Polynomials of Graphs

Canadian Journal of Mathematics - Journal Canadien de Mathematiques, 1994
Francesco Brenti, G. Royle, D. Wagner
semanticscholar   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Non-Predictive Model-Free Control of Nonlinear Systems with Unknown Input Time Delay. [PDF]

Entropy (Basel), 2023
Zhu Q, Zhang J, Zhang W.
europepmc   +1 more source

Robotic Interventional Needle Insertion Assisted by a Cable‐Driven Parallel Robot

Advanced Intelligent Systems, EarlyView.
This article presents a body‐mounted cable‐driven parallel robot assisting the needle insertion procedure designated for automated interventional pain therapy. The 3D‐printed robot body and multiple thin cables can achieve high X‐ray compatibility for intervention. The robot performs full 6‐degree of freedom needle insertion and remote center of motion
Myungjin Jung, Sejeong Kim, Min‐Cheol Kim, Hyun‐Jung Kwon, Jaesoon Choi, Chang‐Sei Kim   +5 more
wiley   +1 more source

AIMNet2‐NSE: A Transferable Reactive Neural Network Potential for Open‐Shell Chemistry

Angewandte Chemie, EarlyView.
AIMNet2‐NSE enables accurate modeling of open‐shell radical chemistry through neural spin‐charge equilibration (NSE). This machine learning interatomic potential predicts radical reaction energies, barriers, and spin‐crossing events with near‐DFT accuracy while offering five orders of magnitude computational speedup, making high‐throughput exploration ...
Bhupalee Kalita, Roman Zubatyuk, Dylan M. Anstine, Maike Bergeler, Volker Settels, Conrad Stork, Sebastian Spicher, Olexandr Isayev   +7 more
wiley   +2 more sources

IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition

Advanced Intelligent Systems, EarlyView.
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi, Olatunji Omisore, Wenjing Du, Wenke Duan, Chen Bailang, Liu Kun, Lei Wang, Minxin Wei   +7 more
wiley   +1 more source

Learning Optimal Crowd Evacuation from Scratch Through Self‐Play

Advanced Intelligent Systems, EarlyView.
How would a superintelligent crowd behave in emergencies? This study develops an approach using multiagent deep reinforcement learning combined with self‐play to discover optimal evacuation strategies for pressure‐aware agents. The model learns behaviors such as queuing and zipper‐merging that significantly surpass traditional approaches in fatality ...
Mahdi Nasiri, Malte Cordts, Heinz Koeppl, Benno Liebchen   +3 more
wiley   +1 more source