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  1. Book ; Online: Senescence and Senescence-Related Disorders

    Wang, Zhiwei / Inuzuka, Hiroyuki

    2013  

    Keywords Medical genetics
    Size 1 electronic resource (160 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021050043
    ISBN 9789535153580 ; 9535153587
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Gut microbial-host-isozymes are new targets for diseases.

    Zhang, Zhiwei / Wang, Kai / Jiang, Changtao

    Science China. Life sciences

    2024  

    Language English
    Publishing date 2024-04-19
    Publishing country China
    Document type Journal Article
    ZDB-ID 2546732-3
    ISSN 1869-1889 ; 1674-7305
    ISSN (online) 1869-1889
    ISSN 1674-7305
    DOI 10.1007/s11427-024-2551-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Letter to the Editor Concerning "Implant-Related Complications After Spinal Fusion: A Multicenter Study." by Koshimizu et al.

    Wang, Zhiwei / Hua, Yu / Cao, Changqing

    Global spine journal

    2024  , Page(s) 21925682241227944

    Language English
    Publishing date 2024-01-13
    Publishing country England
    Document type Letter
    ZDB-ID 2648287-3
    ISSN 2192-5690 ; 2192-5682
    ISSN (online) 2192-5690
    ISSN 2192-5682
    DOI 10.1177/21925682241227944
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Letter to the Editor Concerning "Telemedicine Improves Access to Care for Spine Patients with Low Socioeconomic Status." by Ye et al.

    Wang, Zhiwei / Hua, Yu / Cao, Changqing

    Global spine journal

    2024  , Page(s) 21925682241227221

    Language English
    Publishing date 2024-01-17
    Publishing country England
    Document type Letter
    ZDB-ID 2648287-3
    ISSN 2192-5690 ; 2192-5682
    ISSN (online) 2192-5690
    ISSN 2192-5682
    DOI 10.1177/21925682241227221
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials.

    Li, Zhiwei / Wang, Cheng

    IEEE transactions on neural networks and learning systems

    2024  Volume PP

    Abstract: The expressive power of neural networks describes the ability to represent or approximate complex functions. The number of linear regions is the standard and most natural measure of expressive power. However, a major challenge in utilizing the number of ... ...

    Abstract The expressive power of neural networks describes the ability to represent or approximate complex functions. The number of linear regions is the standard and most natural measure of expressive power. However, a major challenge in utilizing the number of linear regions as a measure of expressive power is the exponential gap between the theoretical upper and lower bounds, which becomes more pronounced as the neural network capacity increases. In this article, we aim to derive a sharp upper bound on piecewise linear neural networks (PLNNs) to bridge this gap. Specifically, we first establish the relationship between tropical polynomials and PLNNs. In the unexpanded tropical polynomials form, we make the proposition that hyperplanes are not all in the general positions, thereby reducing the number of intersecting hyperplanes. We propose a rank-based approach and present the empirical analysis that this approach outperforms previous Zaslavsky's theorem-based methods. In the expanded tropical polynomials form, accounting for limitations in weight initialization and model computational precision, we raise the concept that the values range of each term is bounded. We propose a precision-based approach that transforms the approximate exponential growth of the number of linear regions into polynomial growth with width, which is effective at larger layer widths. Finally, we compare the number of linear regions that can be represented by each hidden layer in both forms and derive a sharp upper bound for PLNNs. Empirical analysis and experimental results provide compelling evidence for the efficacy and feasibility of this sharp upper bound on both simulated experiments and real datasets.
    Language English
    Publishing date 2024-02-05
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2024.3350786
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: First Report of

    Chu, Leixia / Li, Diandian / Hou, Wenchuan / Dan, Zhiwei / Wang, Xiaojie / Dong, Chengming

    Plant disease

    2024  

    Abstract: Epimedium ... ...

    Abstract Epimedium sagittatum
    Language English
    Publishing date 2024-03-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 754182-x
    ISSN 0191-2917
    ISSN 0191-2917
    DOI 10.1094/PDIS-01-24-0185-PDN
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Asthma-Chronic Obstructive Pulmonary Disease Overlap versus Chronic Obstructive Pulmonary Disease: Comparing Apples and Oranges.

    Xian, Guisheng / Long, Zhiwei / Wang, Yan

    American journal of respiratory and critical care medicine

    2024  Volume 209, Issue 6, Page(s) 765–766

    MeSH term(s) Humans ; Pulmonary Disease, Chronic Obstructive/complications ; Pulmonary Disease, Chronic Obstructive/diagnosis ; Pulmonary Disease, Chronic Obstructive/therapy ; Asthma/complications ; Asthma/diagnosis ; Asthma/epidemiology
    Language English
    Publishing date 2024-01-18
    Publishing country United States
    Document type Letter
    ZDB-ID 1180953-x
    ISSN 1535-4970 ; 0003-0805 ; 1073-449X
    ISSN (online) 1535-4970
    ISSN 0003-0805 ; 1073-449X
    DOI 10.1164/rccm.202310-1886LE
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Personal understanding of the extraction or rescue on severe periodontitis teeth.

    Wang, Qintao / Ma, Zhiwei / Wang, Jinjin

    Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology

    2024  Volume 41, Issue 6, Page(s) 635–640

    Abstract: To keep or extract severe periodontitis damaged teeth is one of the controversial topics in the dentistry from ancient times to present. From different perspectives, professions, technologies, time, and economics, there may be different choices with ... ...

    Abstract To keep or extract severe periodontitis damaged teeth is one of the controversial topics in the dentistry from ancient times to present. From different perspectives, professions, technologies, time, and economics, there may be different choices with unidentified consensus. Based on the author's own understanding, experience, literature review, and other aspects, this article proposes some exchange views on influencing factors, abandoning consideration, preserving possibility, and how to detect and prevent the development of lesions. The aim is to stimulate more thinking and accumulate clinical evidence-based data among peers, in order to facilitate cooperation and promote oral health.
    MeSH term(s) Humans ; Consensus ; Periodontitis ; Tooth
    Language Chinese
    Publishing date 2024-04-10
    Publishing country China
    Document type Journal Article ; Review
    ZDB-ID 1202342-5
    ISSN 2618-0456 ; 1000-1182
    ISSN (online) 2618-0456
    ISSN 1000-1182
    DOI 10.7518/hxkq.2023.2023274
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Understanding Rejection Mechanisms of Trace Organic Contaminants by Polyamide Membranes via Data-Knowledge Codriven Machine Learning.

    Wang, Hejia / Zeng, Jin / Dai, Ruobin / Wang, Zhiwei

    Environmental science & technology

    2024  Volume 58, Issue 13, Page(s) 5878–5888

    Abstract: Data-driven machine learning (ML) provides a promising approach to understanding and predicting the rejection of trace organic contaminants (TrOCs) by polyamide (PA). However, various confounding variables, coupled with data scarcity, restrict the direct ...

    Abstract Data-driven machine learning (ML) provides a promising approach to understanding and predicting the rejection of trace organic contaminants (TrOCs) by polyamide (PA). However, various confounding variables, coupled with data scarcity, restrict the direct application of data-driven ML. In this study, we developed a data-knowledge codriven ML model via domain-knowledge embedding and explored its application in comprehending TrOC rejection by PA membranes. Domain-knowledge embedding enhanced both the predictive performance and the interpretability of the ML model. The contribution of key mechanisms, including size exclusion, charge effect, hydrophobic interaction, etc., that dominate the rejections of the three TrOC categories (neutral hydrophilic, neutral hydrophobic, and charged TrOCs) was quantified. Log
    MeSH term(s) Osmosis ; Nylons ; Water Purification/methods ; Membranes, Artificial ; Filtration
    Chemical Substances Nylons ; Membranes, Artificial
    Language English
    Publishing date 2024-03-18
    Publishing country United States
    Document type Journal Article
    ISSN 1520-5851
    ISSN (online) 1520-5851
    DOI 10.1021/acs.est.3c08523
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Research on resolving of three-dimensional displacement from multi-source InSAR data

    WANG Zhiwei

    Acta Geodaetica et Cartographica Sinica, Vol 48, Iss 9, Pp 1206-

    2019  Volume 1206

    Keywords Mathematical geography. Cartography ; GA1-1776
    Language Chinese
    Publishing date 2019-09-01T00:00:00Z
    Publisher Surveying and Mapping Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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