Results 131 to 140 of about 39,003 (306)

A related degree-based frequent pattern mining algorithm for railway fault data

High-Speed Railway
It is of great significance to improve the efficiency of railway production and operation by realizing the fault knowledge association through the efficient data mining algorithm.
Jiaxu Guo, Ding Ding, Peihan Yang, Qi Zou, Yaping Huang   +4 more
doaj   +1 more source

Spatially Selective Solvation Chemistry by Local Charge Enrichment for Stable Potassium‐Metal Anodes

Advanced Science, EarlyView.
A MoC/NC functional intermediate medium preferentially interacts with KFSI to reconstruct the interfacial solvation structure and form a KF‐rich inorganic SEI. The synergistic integration of the electronically insulating SEI and MoC/NC suppresses electron tunneling, enables fast and balanced K+/electron transport, and promotes uniform K deposition for ...
Lu‐Kang Zhao, Xi‐Ran Zhao, Zhimin Ding, Yu‐Hua Bian, Xuan‐Chen Wang, Dongdong Zhao, Yizhuo Zhao, Xuan‐Wen Gao, Zhaomeng Liu, Wen‐Bin Luo   +9 more
wiley   +1 more source

Optimized High-Utility Itemsets Mining for Effective Association Mining Paper

, 2017
Association rule mining is intently used for determining the frequent itemsets of transactional database; however, it is needed to consider the utility of itemsets in market behavioral applications.
Prasad, K Rajendra, K Rajendra Prasad, K. Rajendra Prasad   +2 more
core   +1 more source

Environmental Insights and Sustainability Opportunities for Scaled‐Up MXene Production Without Etching

Advanced Science, EarlyView.
Through a systematic and comprehensive analysis of the environmental impacts for the emerging MXene synthesis pathways, this study presents process transformation and optimization opportunities for low‐carbon MXene production from laboratory to industrial scales.
Yushuai Huang, Peng Peng, Maoqiao Xiang, Fen Yue, Jiangyan Wang, Wenwei Liu, Qingshan Zhu   +6 more
wiley   +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

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

Mining High Utility Patterns Over Data Streams [PDF]

, 2016
Mining useful patterns from sequential data is a challenging topic in data mining. An important task for mining sequential data is sequential pattern mining, which discovers sequences of itemsets that frequently appear in a sequence database.
Kermani, Morteza Zihayat
core  

Natural Resistance to Ovarian Hyperstimulation Syndrome in Estrildid Finches Reveals Macrophage GPR183 as a Potential Therapeutic Target

Advanced Science, EarlyView.
Ovarian macrophage depletion reverses OHSS resistance in estrildid finches and exacerbates OHSS symptoms in rats. Activating macrophage GPR183 alleviates OHSS by reducing pro‐inflammatory factors, increasing immunomodulatory molecules, remodeling CD44/SDC4‐mediated communication, and restoring immune homeostasis.
Xiaofei Yan, Yongjie Huang, Jiabao Yang, Su Ma, Songsong Liu, Xuan Huang, Juergen Brosius, Huaping Zheng, Bing Yao, Li Chen, Shanshan Lai, Cheng Deng   +11 more
wiley   +1 more source

Transposase‐Assisted Donor Tethering Boosts Large‐Fragment HDR in Plants

Advanced Science, EarlyView.
A transposase‐assisted donor tethering strategy is developed to enhance homology‐directed repair in plants. By recruiting donor DNA to double‐strand breaks and synergizing with repair pathway reprogramming and transcription‐coupled donor design, this system markedly improves large‐fragment targeted insertion efficiency, providing a robust platform for ...
Sha Wei, Kai Zhang, Shuke Deng, Jinjie Chen, Xiaomei Huang, Jingfei Guo, Yuqing Wu, Yingjie Guo, Zhen Liang   +8 more
wiley   +1 more source

Improved adaptive-phase fuzzy high utility pattern mining algorithm based on tree-list structure for intelligent decision systems

Scientific Reports
With the rapid development of AI and big data mining technologies, computerized medical decision-making has become increasingly prominent. The aim of high-utility pattern mining (HUPM) is to discover meaningful patterns in medical databases that ...
Jing Chen, Aijun Liu, Hongjun Zhang, Shengyi Yang, Hui Zheng, Ning Zhou, Peng Li   +6 more
doaj   +1 more source