Results 141 to 150 of about 26,074 (306)
Advanced Science, EarlyView.A novel optical thermometer exploits the rare UV emission of Yb2+ ions in a SrB4O7 host, enabling highly sensitive, non‐contact temperature measurements from 80 to 420 K. The applied multiple linear regression (MLR) analysis results in a multiple increase in the resulting temperature sensitivity.
Fang Zhao +6 more
wiley +1 more source
Advanced Science, EarlyView.Hollow Co3O4/TiO2 heterojunctions are engineered for high‐throughput laser desorption/ionization mass spectrometry. The built‐in electric field drives efficient charge separation and photothermal conversion, while the hierarchical mesoporous network enables robust salt and protein tolerance.
Junyu Chen +8 more
wiley +1 more source
Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction
Advanced Science, EarlyView.We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen +3 more
wiley +1 more source
Estimating earnings trend using unobserved components framework
Regressions for predicting long-term stock returns often use moving averages of earnings as the earnings trend. We show that the earnings trend can be directly estimated using unobserved components models.
Basistha, Arabinda, Kurov, Alexander
core
Bootstrap prediction mean squared errors of unobserved states based on the Kalman filter with estimated parameters [PDF]
, 2010 Prediction intervals in State Space models can be obtained by assuming Gaussian innovations and using the prediction equations of the Kalman filter, where the true parameters are substituted by consistent estimates.
Ruiz Ortega, Esther +2 more
core
Advanced Science, EarlyView.This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
The impact of outliers on transitory and permanent components in macroeconomic time series [PDF]
In this paper we investigate the effect of the outliers on the decomposition of Nelson-Plosser macroeconomic data set into permanent and transitory components from structural time series models.
Amélie Charles, Olivier Darné
core
Resistant Peanut Genotype Reprograms Rhizosphere Metabolism to Enhance Bacterial Wilt Suppression
Advanced Science, EarlyView.The resistant peanut genotype selectively recruits beneficial bacteria, which coincides with the activation of salicylic acid (SA)‐dependent systemic acquired resistance (SAR) against Ralstonia solanacearum. Keystone rhizosphere metabolites are positively correlated with both beneficial microbiome assembly and SAR gene expression.
Rui Ren +20 more
wiley +1 more source
Advanced Science, EarlyView.We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung +4 more
wiley +1 more source
This paper develops and estimates a dynamic stochastic general equilibrium model of a closed economy which provides a quantitative description of the monetary transmission mechanism, yields a mutually consistent set of indicators of inflationary pressure
Vitek, Francis
core