Results 151 to 160 of about 40,280 (259)

A New Customizable Surfactant LLPS Strategy for Sustainable and Highly Efficient Radioactive Metal Ion Separation

Advanced Science, EarlyView.
A diluent‐free, customizable liquid–liquid phase separation (LLPS) platform enables highly efficient radioactive metal ion extraction and stripping. By encapsulating hydrophobic extractants into an ionic surfactant‐rich condensed phase, this LLPS system leverages synergistic electrostatic and coordination interactions.
Ruihan Yan, Yifu Hu, Wentao Wang, Zhi Cao, Meiwen Cao, Weifang Zheng, Guoan Ye, Taihong Yan   +7 more
wiley   +1 more source

Strategic Risk Based Forecasting of Brent Crude Oil Prices: A Comparative Analysis of Econometric and Machine Learning Models. [PDF]

Entropy (Basel)
Yılmaz TE, Zehir C.
europepmc   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

Hydrothermal Humification of Biomass for Circular Carbon Management in Sustainable Agro‐Ecosystems

Advanced Science, EarlyView.
This article provides a comprehensive overview of biomass hydrothermal humification for building sustainable agro‐ecosystems. It examines the chemical transformation mechanisms and the functional benefits of the produced humic acids in soil remediation.
Ziyun Liu, Zonglu Yao, Yuanhui Zhang, Huiyan Zhang, Lixin Zhao   +4 more
wiley   +1 more source

A GNN-based approach for accurate trade balance forecasting and interpretable analysis. [PDF]

PLoS One
Huang Y, He Z, Ding C.
europepmc   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

Forecasting Under-5 Mortality Rate in Somalia to 2030: a comparative analysis of univariate and multivariate ARIMAX models. [PDF]

Front Public Health
Seiman SMK, Abdi MM, Muse AH, Abdi KM, Dahir KJ, Salah O, Nadarajah S.   +6 more
europepmc   +1 more source

DMS‐MaPseq and DREEM Analyses Implicate the Critical Role of RNA Structural Dynamics in Turnip Yellow Mosaic Virus Pathogenicity

Advanced Science, EarlyView.
RNA structural profiling of Turnip Yellow Mosaic Virus by DMS‐MaPseq and DREEM analyses uncover that viral genome‐wide RSS is highly complicated and heterogeneous, with alternative RSSs widely distributed across the genome. Notably, the viral 3’ tRNA‐like structure adopts alternative conformations in vivo.
Jiaying Zhu, Changhao Li, Chisimbily Onyia, Xindi Li, Xingxing Yan, Songxiao Zhong, Taerin Oh, Xiuren Zhang   +7 more
wiley   +1 more source

Impact of accurate load forecasting on electricity market stability in Japan using classical time-series and deep-learning methods. [PDF]

Sci Rep
Rabie D, Moradi M, Xuan W, Farzaneh H.
europepmc   +1 more source

Enhancing Biogenic Formic Acid Production in the Modified OxFA Process by Acetonitrile Addition

Advanced Science, EarlyView.
In this study, the beneficial effect of using acetonitrile as a co‐solvent in the modified OxFA process is shown, outperforming methanol, demonstrating improved reaction kinetics combined with high selectivity for the HPA‐2 (H5PV2Mo10O40) catalyzed oxidation of xylose to FA.
Jan‐Dominik H. Krueger, Pegah Saedi, Maximilian J. Poller, Alberto Collauto, Jason P. Hallett, David Robinson, Maxie M. Roessler, Jakob Albert   +7 more
wiley   +1 more source