Results 131 to 140 of about 840,096 (283)

What Explains Racial Differences in Farm Succession Planning? Evidence From Decomposition and Counterfactual Analysis

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper examines racial differences in farm succession planning using survey data from Tennessee farmers. While observed differences between White and Black farmers are small, decomposition and counterfactual analyses show that structural characteristics, particularly farm size, would predict higher succession planning among White farmers ...
Abdelaziz Lawani   +2 more
wiley   +1 more source

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

open access: yesAgribusiness, 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

ILLEGAL BANKING ACTIVITY, ITS OBJECTIVE AND SUBJECTIVE SIGNS (ART 172 OF THE RUSSIAN CRIMINAL CODE)

open access: yesRussian Journal of Economics and Law, 2008
The article shows the types of activity referred to as banking operations and the conditions under which banking activity is considered legal and illegal.
I. V. Danilov
doaj  

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

open access: yesAdvanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison   +4 more
wiley   +1 more source

Toward Complex In‐Car Environment Human–Vehicle Interactions Through Smart Glasses and sEMG‐Based Gesture Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang   +8 more
wiley   +1 more source

Case study on climate change effects and food security in Southeast Asia

open access: yesScientific Reports
Agriculture, a cornerstone of human civilization, faces rising challenges from climate change, resource limitations, and stagnating yields. Precise crop production forecasts are crucial for shaping trade policies, development strategies, and humanitarian
Daria Taniushkina   +10 more
doaj   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha   +2 more
wiley   +1 more source

Vision‐Based Tactile Finger Integrating Fingerpad and Nail Sensing for Robotic Manipulation

open access: yesAdvanced Intelligent Systems, EarlyView.
This vision‐based tactile finger captures nail force and fingerpad force, contact position, and in‐plane orientation with one internal camera. An external camera recognizes the target and presets finger inclination from object height. The compact dual‐sensing design supports tactile‐guided table contact and reliable grasping of objects ranging from ...
Hao Zhou, Kazuhiro Shimonomura
wiley   +1 more source

Graph Neural Network‐Based Reinforcement Learning for Decentralized Multi‐Robot Manipulation

open access: yesAdvanced Intelligent Systems, EarlyView.
Robot arms lifting a large object face a trade‐off: centralized controllers explode in parameters, while decentralized ones cannot coordinate. A GNN resolves this—each arm runs its own network but acts on the full team state, achieving centralized‐level coordination with decentralized execution. Trained across team sizes, a single policy scales to four‐
Tong Chen   +3 more
wiley   +1 more source

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