Results 171 to 180 of about 270,854 (300)

A machine-learning approach to map landscape connectivity in Aedes aegypti with genetic and environmental data. [PDF]

Proc Natl Acad Sci U S A, 2021
Pless E, Saarman NP, Powell JR, Caccone A, Amatulli G.   +4 more
europepmc   +1 more source

Recent Advances in Zirconium‐Based Metal–Organic Framework Membranes for Desalination

Advanced Science, EarlyView.
Zirconium‐based metal–organic framework membranes with tunable pore architectures, defect chemistry, and surface functionalities for Desalination are systematically reviewed. Their fabrication strategies, desalination performance across pressure‐driven, forward osmosis, and pervaporation processes, and structure–property–performance relationships are ...
Mao Fu, Hai‐Tian Xia, You Wu, Sen Li, Ying Liu, Ya‐Li Liu, Shi‐Qiang Wang, Yingchao Dong   +7 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Does wildlife resource selection accurately inform corridor conservation? [PDF]

, 2017
Abrahms B., Burnham K.P., Hendrick P.W., Manly B.F.J., McRae B.H., R Core Team, Rudnick D.A.   +6 more
core   +2 more sources

WTAP‐Mediated m6A Modification Targets the LRP1‐Lipid Metabolism Axis to Regulate Joint Cartilage Regeneration

Advanced Science, EarlyView.
WTAP drives cartilage regeneration by activating an LRP1‐dependent lipid metabolic program in macrophages, enhancing IL‐10 and TGF‐β secretion to promote chondrogenic differentiation. Leveraging this mechanism, virtual screening identifies LRP1‐targeting compounds that effectively stimulate cartilage repair, highlighting a druggable epigenetic ...
Chenyan Huang, Chenyu Deng, Zhengrong Gao, Chen Chen, Huimin Zheng, Yue Yang, Yan Wei   +6 more
wiley   +1 more source

Host relatedness and landscape connectivity shape pathogen spread in the puma, a large secretive carnivore. [PDF]

Commun Biol, 2021
Fountain-Jones NM, Kraberger S, Gagne RB, Trumbo DR, Salerno PE, Chris Funk W, Crooks K, Biek R, Alldredge M, Logan K, Baele G, Dellicour S, Ernest HB, VandeWoude S, Carver S, Craft ME.   +15 more
europepmc   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

Landscape connectivity among coastal giant salamander (Dicamptodon tenebrosus) populations shows no association with land use, fire frequency, or river drainage but exhibits genetic signatures of potential conservation concern. [PDF]

PLoS One, 2022
Auteri GG, Marchán-Rivadeneira MR, Olson DH, Knowles LL.   +3 more
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source