Results 61 to 70 of about 54,704 (250)

Cover Time in Edge-Uniform Stochastically-Evolving Graphs

Algorithms, 2018
We define a general model of stochastically-evolving graphs, namely the edge-uniform stochastically-evolving graphs. In this model, each possible edge of an underlying general static graph evolves independently being either alive or dead at each discrete
Ioannis Lamprou, Russell Martin, Paul Spirakis   +2 more
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Fine‐Tuned Regulation of mRNA Translation and Transport by STAU2 Condensate Facilitates Neuronal Development and Plasticity

Advanced Science, EarlyView.
STAU2 undergoes phase separation to form dynamic condensates that package target mRNAs and deliver them to the distal ends of growing neuronal dendrites. STAU2 condensates stabilize embedded mRNAs and repress their translation. Synaptic activity bidirectionally remodels STAU2 condensates, coordinating local translation of STAU2‐associated mRNAs ...
Shijing Huang, Yuanyuan Chu, Ruiqian Zhao, Siyu Li, Yu Feng, Hongdan Zheng, Yunli Xie, Tong Wang, Wenyu Wen   +8 more
wiley   +1 more source

The Hybrid Market Segmentation of Electric Vehicles in Ukraine Using Data Science Methods [PDF]

Problemi Ekonomiki
The article examines the current issue of effective market segmentation for electric vehicles in Ukraine. This market, on one hand, demonstrates exponential growth, while on the other, it develops in the context of significant economic and social ...
Andrusyk Yevhenii V. , Guryanova Lidiya S.   +1 more
doaj   +1 more source

A Natural Identity for Exponential Families with Applications in Multiparameter Estimation

The Annals of Statistics, 1978
A random variable $X$ is said to have distribution in the class $\mathscr{E}_0$ if, for some real valued, positive function $a(\bullet)$, the identity $E\{(X - \mu)g(X)\} = E\{a(X)g'(X)\}$ holds for any absolutely continuous real valued function $g(\bullet)$ satisfying $E|a(X)g'(X)| 2$.
openaire   +2 more sources

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

Aptamer‐Targeted PrPC Drives Colorectal Cancer Metastasis via a LYN‐STAT3 Complex and Enables Liquid Biopsy Detection

Advanced Science, EarlyView.
The aptamer WHY‐3E identifies PrPC as a CRC driver. Stabilized by USP18, endocytosed PrPC forms a LYN/STAT3 complex, upregulating MSN transcription to promote metastasis. Crucially, WHY‐3E sensitively detects PrPC‐positive circulating exosomes, establishing a robust theoretical foundation for non‐invasive clinical diagnostics.
Chunlin Wang, Hongyu Wu, Chaojing Zheng, Hao Zhang, Xiaoqiu Wu, Jiaqi Wang, Zewen Chang, Jun Xiang, Yunxiao Liu, Chenkai Zhang, Yuliuming Wang, Hao Jiang, Yuchen Zhong, Jun Luo, Ying Chen, NaNa Zhang, Weiyuan Zhang, Ziming Yuan, ChaoXia Zou, Weihong Tan, Meng Wang, Hanqing Hu, Tao Bing, Guiyu Wang   +23 more
wiley   +1 more source

Protein Structuromics Reveals a Loop‐Controlled Half‐Open Active Pocket Conformation Throughout Fe(II)/α‐ketoglutarate‐Dependent Dioxygenase Catalytic Cycle

Advanced Science, EarlyView.
This study reveals a conserved half‐open active pocket in Fe(II)/α‐ketoglutarate‐dependent dioxygenases through protein structuromics, distinguished by structural features comprising highly flexible loop elements. Enhanced sampling simulations‐guided mutagenesis experiments elucidated how this flexible loop regulates pocket open/closed conformations ...
Lunjie Wu, Huan Liu, Songyin Zhao, Lei Qin, Jiarui Li, Jun Wang, Zixuan Dai, Jie Gu, Yan Xu, Feiran Li, Yao Nie   +10 more
wiley   +1 more source

Tumor‐Specific Delivery of CD28 siRNA via Lyso‐PC C‐16 Modified Lipid Nanoparticles Overcomes Anti‐PD‐1 Resistance by Remodeling Tumor Microenvironment

Advanced Science, EarlyView.
This study develops 16:0 LPC‐modified lipid nanoparticles (LPC‐LNPs) with cancer cell specificity by exploiting altered tumor lipid metabolism. LPC‐LNPs encapsulating Cd28 small interfering RNA (LPC‐LNP‐Cd28) knock down cancer cell CD28 without affecting T cells, inflame the tumor microenvironment, and overcome anti‐PD‐1 resistance.
Yangyang Chai, Keyu Wang, Jiali Fang, Shaorui Jia, Yansong Shi, Wanfeng Gao, Xinpeng Liu, Jiaqiang Li, Zenghui Cui, Yazhi Qian, Xiaosu Chen, Dan Ding, Xuetao Cao   +12 more
wiley   +1 more source