Results 91 to 100 of about 14,323 (314)

Assessing Agricultural Green Total Factor Productivity in Latin America

open access: yesAgribusiness, EarlyView.
ABSTRACT The agricultural sector in Latin America plays a vital role in ensuring food security while impacting the environment. However, there remains a lack of analysis regarding the inputs responsible for pollution within its sub‐technologies. Hence, this article aims to assess agricultural green total factor productivity (TFP) through a novel ...
Tianxiang Li   +2 more
wiley   +1 more source

Creating Shared Value as an Antecedent of Value Co‐Creation: B2B Relationships in the Agri‐Food Sector

open access: yesAgribusiness, EarlyView.
ABSTRACT This study analyzes the effects of value co‐creation and creation of shared value in agricultural input marketing. This study used a sample of 178 agricultural companies in Costa Rica. The data were analyzed using partial least squares structural equation modeling (PLS‐SEM) with SMART PLS software. Our findings reveal the significant influence
Luis Ricardo Solís‐Rivera   +1 more
wiley   +1 more source

Thirty Years of Mentoring by “Bob Chan” of Young Japanese Surgeons to Become Scientists: An Adventure of Love

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Over the past three decades, we have mentored a generation of young Japanese surgeons, guiding them to become internationally recognized surgeon‐scientists. Through a unique collaboration between Japanese academic institutions and our laboratories at AntiCancer Inc.
Robert M. Hoffman   +2 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki   +3 more
wiley   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

open access: yesAdvanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

A Multi‐instrument Recognition and Autonomous Tracking Control Method for Robot‐Assisted Endoscopic Adjustment

open access: yesAdvanced Intelligent Systems, EarlyView.
During lengthy minimally invasive surgeries, fatigue can cause surgeon tremor and poor endoscopic coordination. This study proposes a robot‐assisted endoscopic adjustment system. It employs a lightweight instrument detection model and a hierarchical multiconstraint controller for visual servoing.
Zijie Yang   +5 more
wiley   +1 more source

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