Results 141 to 150 of about 25,591 (263)

Fusing Direct and Indirect Measurements Through Multi‐Fidelity Learning For Accelerated Electrocaloric Materials Discovery

Advanced Science, EarlyView.
A multi‐fidelity framework integrates sparse direct and abundant indirect electrocaloric measurements. Multi‐objective active learning accelerates BaTiO3‐based electrocaloric materials discovery at –70∘C$^{\circ }{\rm C}$. A diffuse transition enables an electrocaloric strength of 0.06×$\times$10−6 Km/V at –70℃ with an operational temperature span of ...
Bo Wang, Pengfei Dang, Yuan Tian, Zhengwang He, Wei Gu, Lixue Zhang, Turab Lookman, Yumei Zhou, Dezhen Xue   +8 more
wiley   +1 more source

Missing Data Sensitivity Analyses for Alcohol Research. [PDF]

Alcohol Clin Exp Res (Hoboken)
Enders CK, Ray LA.
europepmc   +1 more source

A Site‐Aware Representation Learning Framework For Unified Molecular Interaction Modeling and Generative Design

Advanced Science, EarlyView.
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo, Qianqian Zhang, Chenhao Wang, Zhiheng Yi, Alex Jinpeng Wang, Jing Tang, Min Li   +6 more
wiley   +1 more source

Universal Battery Capacity Degradation Forecasting Driven by Foundation Models Across Diverse Chemistries and Conditions

Advanced Science, EarlyView.
A unified time‐series forecasting framework learns transferable battery capacity‐degradation patterns from 20 heterogeneous datasets spanning chemistries, formats, temperatures, and cycling conditions. A single model delivers competitive predictions on both known and previously unseen datasets, while physics‐guided representation learning improves ...
Joey Chan, Huan Wang, Zhen Chen, Haoyu Pan, Wei Wu, Zirong Wang, Ershun Pan, Min Xie, Lifeng Xi   +8 more
wiley   +1 more source

Unobserved confounders cannot explain over-crediting in avoided deforestation carbon projects. [PDF]

Nat Ecol Evol
Guizar-Coutiño A, Nicholson G, Coomes D, Ferraro PJ, Swinfield T, Jones JPG.   +5 more
europepmc   +1 more source

Unobserved components models in macroeconomics and finance

, 2019
Many objects of interest in economics and finance are not directly observable from available data. Nevertheless, these unobserved trends and events that are ‘hidden’ in economic and financial data bear relevance for policy makers and investors who want to assess the current state of the economy.
openaire   +1 more source

Mesoporous‐Shell Monolayer Plasmonic Architecture Enables Quantitative and Decision‐Guided SERS

Advanced Science, EarlyView.
Mesoporous‐shell‐regulated molecular transport combined with monolayer hotspot determinism transforms surface‐enhanced Raman spectroscopy (SERS) from ultrasensitive detection into quantitative and decision‐guided molecular sensing. ABSTRACT Quantitative surface‐enhanced Raman spectroscopy (SERS) has long been impeded by stochastic hotspot formation ...
Guangyao Huang, Ying Wang, Yue Fang, Jingyuan Shao, Sensen Hao, Mancun Zhao, Yuan Yao, Junping Wang, Wei Zhou, Hongzhi Wang   +9 more
wiley   +1 more source

The impact of home- and community-based services on life satisfaction among older adults: evidence from marginal treatment effect framework. [PDF]

Front Public Health
Zhu A, Kong Z, Chen C.
europepmc   +1 more source

Artificial Intelligence‐Empowered Single‐Cell Phenotyping for Rapid, Automated Pathogen Diagnostics

Advanced Science, EarlyView.
This work presents an integrated diagnostic platform that combines microfluidic single‐cell bacterial detection with artificial intelligence‐driven analysis for rapid antimicrobial susceptibility testing. Single‐cell phenotyping enables assessment of antibiotic response in only a few cell replication cycles, while AI analysis supports precise bacterial
Sabita Khadka, Bushra Raahat, Spyros Tragoudas, Hui Li   +3 more
wiley   +1 more source

Estimating multivariate longitudinal trajectories using mixed-effects models with crossed random effects. [PDF]

Behav Res Methods
Martínez-Huertas JÁ, Ferrer E.
europepmc   +1 more source