Results 41 to 50 of about 13,926 (236)
Results in Chemistry, 2023 Advanced oxidation processes (AOPs) with heterojunction-based composites have been shown to be effective for a variety of water and/or wastewater treatments.
Marri Pradeep Kumar, Dasari Ayodhya
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Advances in Rheumatology, 2019 Background Complement component 4 (C4) gene copy number (GCN) affects the susceptibility to systemic lupus erythematosus (SLE) in different populations, however the possible phenotype significance remains to be determined.
Kaline Medeiros Costa Pereira +7 more
doaj +1 more source
Advanced Materials Technologies, EarlyView.ABSTRACT Molybdenum disulfide (MoS2) has attracted attention as a promising material due to the growing demand for environmentally friendly, cost‐effective, and efficient water treatment techniques. With its physicochemical characteristics, this stratified bidimensional material allows it to be highly effective in adsorption and catalytic performance ...
Pariksha Bishnoi +4 more
wiley +1 more source
An EV load forecasting method for using GCN-LSTM
Zhejiang dianliTraditional electric vehicle （EV） load forecasting methods often fail to fully utilize the spatial correlation among EV loads， resulting in low forecasting accuracy.
HUANG Jian +5 more
doaj +1 more source
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
Advanced Science, EarlyView.A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source
GCN sensitive protein translation in yeast [PDF]
PLOS ONE, 2020 Abstract Levels of protein translation by ribosomes are governed both by features of the translation machinery as well as sequence properties of the mRNAs themselves. We focus here on a striking three-nucleotide periodicity, characterized by overrepresentation of GCN codons and underrepresentation of G at the second ...
William A. Barr +11 more
openaire +4 more sources
Advanced Science, EarlyView.STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li +9 more
wiley +1 more source
Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning
Advanced Science, EarlyView.SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley +1 more source
Análise das áreas suscetíveis a inundações na bacia do rio Forquilhas, São José/SC
GEOUSP: Espaço e Tempo, 2010 O presente trabalho tem como objetivo principal analisar as áreas suscetíveis a inundações da bacia do rio Forquilhas, localizada no município de São José, Santa Catarina.
Francielle da Silva Cardozo +2 more
doaj +1 more source