Results 111 to 120 of about 523,565 (314)

Deciphering the Evolution Pattern of Structural Variations Overlapped With Repetitive Sequence During Cattle Evolution

Advanced Science, EarlyView.
The authors complement bovine pan‐SV with massive novel structural variations (SVs) identified through long‐read sequencing of 83 globally distributed cattle breeds. Repetitive sequence‐mediated SVs (rep‐SV) exhibit distinct dynamic patterns throughout cattle sub‐speciation and/or domestication processes, including uneven distribution between chr‐X and
Zhifan Guo, Jinxiu Li, Adeniyi C. Adeola, Xueyan Jiang, Juntao Ma, Jian Xiao, Dexiang Hu, Kaixing Qu, Haihong Wu, Junren Chen, Zhanxing He, Tingting Yin, Ali Esmailizadeh, Jing Luo, Olivier Hanotte, Ya‐Ping Zhang, Yan Li   +16 more
wiley   +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

Factors affecting timely completion of a PhD: a complex systems approach

Journal of the Scholarship of Teaching and Learning, 2012
Completing a PhD on time is a complex process, influenced by many interacting factors. In this paper we take a Bayesian Network approach to analyzing the factors perceived to be important in achieving this aim.
Jegar Pitchforth, Stephanie Beames, Aleysha Thomas, Matthew Falk, Charisse Farr, Susan Gasson, Sri Astuti Thamrin, Kerrie Mengersen   +7 more
doaj  

Inferring Dynamic Bayesian Networks using Frequent Episode Mining [PDF]

, 2009
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakrishnan   +2 more
openalex   +1 more source

Bayesian dynamic network modelling: an application to metabolic associations in cardiovascular diseases

, 2022
Marco Molinari, Andrea Cremaschi, Maria De Iorio, Nish Chaturvedi, Alun D. Hughes, Therese Tillin   +5 more
openalex   +1 more source

Multi‐Physical Field Modulated P‐Bit Device Based on VO2 Thin Film

Advanced Science, EarlyView.
We have proposed a VO2‐based P‐bit device where synergistic multi‐physical field modulation enables real‐time tunability of randomness. Besides introducing a new phase‐change material‐based device approach for high‐performance P‐bits, this study also demonstrates a synergistic multi‐physical field modulation strategy that opens new opportunities for ...
Bowen Sun, Jianjun Li, Ting Zhou, Jinglin Zhu, Meiling Liu, Zhihan Lin, Chang Wang, Chengyu Li, Yingxue Chen, Xiaokun Huo, Chongwen Zou   +10 more
wiley   +1 more source

Functional Bayesian Networks for Discovering Causality from Multivariate Functional Data [PDF]

, 2022
Fangting Zhou, Kejun He, Kunbo Wang, Yanxun Xu, Yang Ni   +4 more
openalex   +1 more source

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

Advanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang, Depeng Kong, Zhiao He, Jikai Liang, Yuyao Lu, Zikang Deng, Honghe Li, Mengke Wang, M. Jamal Deen, Zhiqiu Ye, Shuyao Zhou, Huayong Yang, Honghao Lyu, Jun Chen, Kaichen Xu, Geng Yang   +15 more
wiley   +1 more source

Analysis of traffic safety in airport aircraft activity areas based on bayesian networks and fault trees

Digital Transportation and Safety
To assess road traffic safety risk in civil aviation airports and develop effective accident prevention measures, this study proposed a risk assessment method based on accident tree and Bayesian network for airport aircraft activity areas.
Ruijun Guo, Jiawen Wu, Fan Ji, Wanxiang Wang, Yuan Yin   +4 more
doaj   +1 more source

A smart headband for multimodal physiological monitoring in human exercises

Advanced Science, EarlyView.
A novel smart headband incorporating a thermal‐sensation‐based electronic skin is presented for continuous and accurate multimodal physiological monitoring, including pulse waveforms, total metabolic energy expenditure, heart rate, and forehead temperature, across both static and dynamic daily activities.
Shiqiang Liu, Guanxing Chen, Jingyi Peng, Shuo Tian, Qian Mao, Caise Wei, Jinfeng Yuan, Rong Zhu   +7 more
wiley   +1 more source