Results 191 to 200 of about 25,591 (263)
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Forest Kernel Balancing Weights: Outcome-Guided Features for Causal Inference. [PDF]
Shen AA +4 more
europepmc +1 more source
ABSTRACT To increase farmer adoption of green practices, the EU Common Agricultural Policy includes both mandatory (conditionality) and voluntary instruments (eco‐schemes–ECS– and more demanding, multi‐annual agri‐environment‐climate measures –AECM–). Building on the experiment of Barreiro‐Hurle et al.
L. Sanchez‐Mata +4 more
wiley +1 more source
Hemp Cultivation and Crop Diversification: Implications for Ecosystem Services in Kentucky
ABSTRACT This study examines the ecosystem benefits of expanding hemp cultivation by assessing its impact on crop diversity. Using scenario‐based simulations and fixed‐effect panel regressions with county‐level data in Kentucky, we find that increased hemp acreage tends to enhance crop diversity, improving water quality and bird diversity.
Yunsun Park +4 more
wiley +1 more source
An operational target trial emulation framework for causal inference using electronic health record data. [PDF]
Wang Y, Li Y, Lin T, Guo Y.
europepmc +1 more source
Chinese Trade Competition and Rural Mexican Migration
ABSTRACT China's accession to the World Trade Organization in 2001 reshaped global trade, reducing U.S. demand for Mexican manufactured goods and weakening Mexico's manufacturing employment. This study estimates how this trade‐induced decline affected migration and employment decisions among rural Mexicans.
Zachariah Rutledge, Joaquin Mayorga
wiley +1 more source
Zero-Inflated Promotion Cure-Rate Models With Frailty and Flexible Activation Schemes. [PDF]
Assunção D +5 more
europepmc +1 more source
Farmers' Preferences for Gene Editing Crops and Influencing Factors
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele +1 more
wiley +1 more source
Joint Frailty Mixture Cure Model for Recurrent Event Data With Dependent Censoring: An MCEM Approach. [PDF]
Sultana N +2 more
europepmc +1 more source

