Yi Wang

Silent collapse to a dataset-dependent attractor class in deep bearing fault diagnosis: a cross-dataset study of failure modes masked by evaluation practice

Yi Wang, Yongqing Tang

Abstract Deep learning models for bearing fault diagnosis are routinely reported by accuracy alone, obscuring architecture-dependent failure modes that are invisible in benchmark tables. Through a cross-dataset empirical study, namely seven architectures × three datasets × five seeds, i.e. 105 clean-trained models, …

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ICD-11 in global public health surveillance: Advancements in infectious disease tracking, non-communicable disease management, and antimicrobial resistance monitoring

Yuan Ma, Wei Li, Meng Zhang, Jiangya Zhou et autres

As medical knowledge continues to evolve, the limitations of the International Classification of Diseases, 10th Revision (ICD-10), in supporting public health surveillance and reporting have become increasingly evident. The 11th Revision (ICD-11) introduces a more comprehensive and flexible classification system, significantly enhancing …

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STC-1 improves scar remodeling and is associated with PI3K/AKT signaling and immune modulation

Xiao-Ying Lin, Zhang-Rui Wu, Yi Wang, Fa-Wei Xu et autres

BACKGROUND: Dysregulation of the wound remodeling phase can lead to excessive scar formation, which may cause functional impairment and aesthetic distress. However, effective strategies to improve tissue repair outcomes remain limited. Stanniocalcin-1 (STC-1), a secreted glycoprotein, has recently attracted attention for its …

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Anti-DETR: End-to-end anti-drone visual detection network based on wavelet convolution

Jiarui Zhang, Zhihua Chen, Chun Zheng, Wenjun Yi et autres

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Bridging human judgment and AI precision: a step toward intercultural competence in text refinement

Yicheng Sun, Hanbo Yang, Yi Wang, Richard Suen

Human writing often exhibits a variety of styles and levels of sophistication, yet automated text generation systems typically struggle to produce nuanced and culturally sensitive prose. Achieving a balance between AI-driven automated generation and human judgment is essential for refining text in …

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Bimetallic NH2-MOF-5(ZnCu) for the effective adsorption of oxytetracycline: Coordination change and defect construction

Yi Wang, Hongnan Wu, Qinghang Meng, Jing Yang et autres

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A dataset of wholesale egg prices in Beijing from 2012 to 2022

Yi Wang, Wei Sun, Peigang WEI, Fantao KONG et autres

Eggs are an important part of the daily diet of Chinese residents and play an irreplaceable role in human development, health maintenance and immune function. Access to historical wholesale egg price data within a given regional scale is important for analyzing regional …

Artificial intelligence-assisted non-metallic inclusion particle analysis in advanced steels using machine learning: A review

Gonghao Lian, Xiaoming Liu, Qiang Wang, Chunguang Shen et autres

Abstract The detection and characterization of non-metallic inclusions are essential for clean steel production. Recently, imaging analysis combined with high-dimensional data processing of metallic materials using artificial intelligence (AI)-based machine learning (ML) has developed rapidly. This technique has achieved impressive results in …

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Preparation of low-expansion high-performance Si–C composites based on porous advantage of detoxified and purified waste cathode graphite blocks

Guoqing Yu, Mingzhuang Xie, Zhihao Zheng, Zegang Wu et autres

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Observation of $\barΛp\to K^{+}π^{+}π^{-}π^{0}$ and $\barΛp\to K^{+}π^{+}π^{-}2π^{0}$

BESIII Collaboration, M. Ablikim, M. N. Achasov, P. Adlarson et autres

Using $(10087 \pm 44) \times 10^6$ $J/ψ$ events collected with the BESIII detector at a center-of-mass energy of $\sqrt{s}=3.097$ GeV, the antihyperon-nucleon annihilation processes $\barΛ p \to K^+ π^+ π^- + kπ^0$ ($k=1,2,3$) are studied at an incident $\barΛ$ momentum of approximately …

Structured State Space Duality (SSD) for RobustMechanical Fault Diagnosis: A Mamba-2 BasedApproach under Harsh Industrial Noise

Yi Wang

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Multiple friction-active elements co-doped carbon quantum dots as state-of-the-art anti-extreme pressure additives

Hao Lei, Weiwei Tang, Peiyu Deng, Yi Wang et autres

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