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  1. Book ; Online: Greening Urban Spaces: A Healthy Community Design

    Liu, Hongxiao / Wu, Tong / Li, Yuan

    2023  

    Keywords Research & information: general ; ecological well-being performance ; super-SBM model ; spatial Durbin model ; sustainable development ; rail transit ; public transit ; travel time ; transit fare ; accessibility ; equity ; GIS-DEA-MI model ; urban fringe ; cultural landscape heritage ; sustainable development efficiency ; heritage preservation and utilization ; FCEM manufacturing enterprises ; enterprise digital transformation ; health and safety management ; internet of things ; big data technology ; FCEM ; landscape pattern metrics ; community structure ; topographic ; diversity ; richness ; buffer radius ; community parks ; urban green space ; mixed methods ; park usage ; driving factors ; green ecology ; environmental cognition ; urban public service system ; system building ; environmental regulation ; urban innovation ; mediating effect ; ecosystem services ; value transfer ; farmland ; meta-regression analysis ; life circle ; different research scales ; G2SFCA ; street spatial patterns ; street vitality ; street design ; big data ; China ; government governance ; public health ; ecological environment ; healthy city ; health security ; Community spatial structure planning ; community space ; cultural image ; rural environment ; art construction ; applied research ; international public safety ; international law of marine environmental protection ; greening urban spaces ; green space quality ; healthy community ; PSO-K-means
    Language English
    Size 1 electronic resource (264 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Document type Book ; Online
    Note English
    HBZ-ID HT030381450
    ISBN 9783036583501 ; 3036583505
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Emerging infectious diseases expose gaps in UN's SDG framework.

    Wu, Tong

    Nature

    2022  Volume 607, Issue 7917, Page(s) 32

    MeSH term(s) Communicable Diseases, Emerging/epidemiology ; Communicable Diseases, Emerging/prevention & control ; Goals ; Humans ; Sustainable Development ; United Nations/organization & administration
    Language English
    Publishing date 2022-07-05
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/d41586-022-01825-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  3. Book ; Online: Outlier-Robust Tensor Low-Rank Representation for Data Clustering

    Wu, Tong

    2023  

    Abstract: Low-rank tensor analysis has received widespread attention with many practical applications. However, the tensor data are often contaminated by outliers or sample-specific corruptions. How to recover the tensor data that are corrupted by outliers and ... ...

    Abstract Low-rank tensor analysis has received widespread attention with many practical applications. However, the tensor data are often contaminated by outliers or sample-specific corruptions. How to recover the tensor data that are corrupted by outliers and perform data clustering remains a challenging problem. This paper develops an outlier-robust tensor low-rank representation (OR-TLRR) method for simultaneous outlier detection and tensor data clustering based on the tensor singular value decomposition (t-SVD) algebraic framework. It is motivated by the recently proposed tensor-tensor product induced by invertible linear transforms that satisfy certain conditions. For tensor observations with arbitrary outlier corruptions, OR-TLRR has provable performance guarantee for exactly recovering the row space of clean data and detecting outliers under mild conditions. Moreover, an extension of OR-TLRR is also proposed to handle the case when parts of the data are missing. Finally, extensive experimental results on both synthetic and real data demonstrate the effectiveness of the proposed algorithms.

    Comment: 12 pages, 1 figure; preprint of a journal paper
    Keywords Statistics - Machine Learning ; Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning
    Subject code 006
    Publishing date 2023-07-18
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: The socioeconomic and environmental drivers of the COVID-19 pandemic: A review.

    Wu, Tong

    Ambio

    2021  Volume 50, Issue 4, Page(s) 822–833

    Abstract: In recent decades, there has been an intensification of the socioeconomic and environmental drivers of pandemics, including ecosystem conversion, meat consumption, urbanization, and connectivity among cities and countries. This paper reviews how these ... ...

    Abstract In recent decades, there has been an intensification of the socioeconomic and environmental drivers of pandemics, including ecosystem conversion, meat consumption, urbanization, and connectivity among cities and countries. This paper reviews how these four systemic drivers help explain the dynamics of the COVID-19 pandemic and other recent emerging infectious diseases, and the policies that can be adopted to mitigate their risks. Land-use change and meat consumption increase the likelihood of pathogen spillover from animals to people. The risk that such zoonotic outbreaks will then spread to become pandemics is magnified by growing urban populations and the networks of trade and travel within and among countries. Zoonotic spillover can be mitigated through habitat protection and restrictions on the wildlife trade. Containing infectious disease spread requires a high degree of coordination among institutions across geographic jurisdictions and economic sectors, all backed by international investment and cooperation.
    MeSH term(s) Animals ; COVID-19 ; Ecosystem ; Humans ; Pandemics ; SARS-CoV-2 ; Socioeconomic Factors
    Language English
    Publishing date 2021-01-28
    Publishing country Sweden
    Document type Journal Article ; Review
    ZDB-ID 120759-3
    ISSN 1654-7209 ; 0044-7447
    ISSN (online) 1654-7209
    ISSN 0044-7447
    DOI 10.1007/s13280-020-01497-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: COVID-19, the Anthropocene, and the Imperative of US-China Cooperation.

    Wu, Tong

    EcoHealth

    2020  Volume 17, Issue 3, Page(s) 268–269

    MeSH term(s) COVID-19 ; China ; Humans ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-10-28
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2164327-1
    ISSN 1612-9210 ; 1612-9202
    ISSN (online) 1612-9210
    ISSN 1612-9202
    DOI 10.1007/s10393-020-01494-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: [Discussion on the relationship between

    Wu, Tong / Wang, Xing-Yi

    Zhongguo zhen jiu = Chinese acupuncture & moxibustion

    2023  Volume 43, Issue 7, Page(s) 825–828

    Abstract: ... Huangdi ... ...

    Abstract Huangdi Neijing
    MeSH term(s) Meridians ; Acupuncture Points ; Foot ; Lower Extremity ; Medicine
    Language Chinese
    Publishing date 2023-07-10
    Publishing country China
    Document type English Abstract ; Journal Article
    ISSN 0255-2930
    ISSN 0255-2930
    DOI 10.13703/j.0255-2930.20220731-k0002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: A comparative study on marma and acupoints.

    Wu, Tong / Wang, Xing-Yi

    Journal of Ayurveda and integrative medicine

    2023  Volume 14, Issue 4, Page(s) 100769

    Abstract: Marma is an important component of Ayurveda. It was recorded in Susruta Samhita that there were 107 marma points in human body, which located at the anatomical site where muscles, veins, ligaments, bones and joints meet together and were regarded as ... ...

    Abstract Marma is an important component of Ayurveda. It was recorded in Susruta Samhita that there were 107 marma points in human body, which located at the anatomical site where muscles, veins, ligaments, bones and joints meet together and were regarded as seats of life energy. While acupoints in Traditional Chinese Medicine is defined as having the similar position as marma points, and also the function of regulating vital energy, these body points have been constantly combined with acupuncture technique, which encouraged doctors to stimulate applicable acupoints in order to relief pain and treat diseases. Given the similarity of their location and regulation of vital energy, this paper further conducted a systematic comparison of their origins, general features and clinical applications based on literature of Ayurveda and Traditional Chinese Medicine. The results indicated that the main difference existed in their origin, with marma from the battlefield culture of ancient India and acupoints from medical experience of ancient Chinese. In general features, they showed diverse characteristics of medical theories through classified methods. As for clinical applications, acupoints have always been closely related to medical science in the whole progression, yet marma points were gradually endowed with medical functions. Overall, these body points appeared independently and conveyed the different body views bred by two civilizations. Through cross-region comparison, people's understanding of each traditional medicine and cultural connotation behind it could be deepened, which assisted to achieve the cooperation and innovation of traditional medicine.
    Language English
    Publishing date 2023-07-25
    Publishing country United States
    Document type Journal Article ; Review
    ISSN 0975-9476
    ISSN 0975-9476
    DOI 10.1016/j.jaim.2023.100769
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: 6mA-METL-9 axis regulates innate immunity in C. elegans.

    Wu, Tong / He, Chuan

    Cell research

    2023  Volume 33, Issue 8, Page(s) 581–582

    MeSH term(s) Animals ; Caenorhabditis elegans ; Signal Transduction ; Immunity, Innate ; Caenorhabditis elegans Proteins
    Chemical Substances Caenorhabditis elegans Proteins
    Language English
    Publishing date 2023-06-19
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 1319303-x
    ISSN 1748-7838 ; 1001-0602
    ISSN (online) 1748-7838
    ISSN 1001-0602
    DOI 10.1038/s41422-023-00837-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5283: Show issues Location:
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  9. Article ; Online: A Gated Multiscale Multitask Learning Model Using Time-Frequency Representation for Health Assessment and Remaining Useful Life Prediction.

    Wu, Tong / Chen, Tengpeng

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 4

    Abstract: Health assessment and remaining useful life prediction are usually seen as separate tasks in industrial systems. Some multitask models use common features to handle these tasks synchronously, but they lack the usage of the representation in different ... ...

    Abstract Health assessment and remaining useful life prediction are usually seen as separate tasks in industrial systems. Some multitask models use common features to handle these tasks synchronously, but they lack the usage of the representation in different scales and time-frequency domain. A lack of balance also exists among these scales. Therefore, a gated multiscale multitask learning model known as GMM-Net is proposed in this paper. By using the time-frequency representation, GMM-Net can obtain features of different scales via different kernels and compose the features by a gating network. A detailed loss function whose weight can be searched in a smaller scale is designed. The model is tested with different weights in the total loss function, and an optimal weight is found. Using this optimal weight, it is observed that the proposed method converges to a smaller loss and has a smaller model size than long short-term memory (LSTM) and gated recurrent unit (GRU) with less training time. The experiment results demonstrate the effectiveness of the proposed method.
    Language English
    Publishing date 2023-02-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23041922
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Understanding the contemporary high obesity rate from an evolutionary genetic perspective.

    Wu, Tong / Xu, Shuhua

    Hereditas

    2023  Volume 160, Issue 1, Page(s) 5

    Abstract: The topic of obesity is gaining increasing popularity globally. From an evolutionary genetic perspective, it is believed that the main cause of the high obesity rate is the mismatch between environment and genes after people have shifted toward a modern ... ...

    Abstract The topic of obesity is gaining increasing popularity globally. From an evolutionary genetic perspective, it is believed that the main cause of the high obesity rate is the mismatch between environment and genes after people have shifted toward a modern high-calorie diet. However, it has been debated for over 60 years about how obesity-related genes become prevalent all over the world. Here, we review the three most influential hypotheses or viewpoints, i.e., the thrifty gene hypothesis, the drifty gene hypothesis, and the maladaptation viewpoint. In particular, genome-wide association studies in the recent 10 years have provided rich findings and evidence to be considered for a better understanding of the evolutionary genetic mechanisms of obesity. We anticipate this brief review to direct further studies and inspire the future application of precision medicine in obesity treatment.
    MeSH term(s) Humans ; Genome-Wide Association Study ; Obesity/genetics ; Biological Evolution
    Language English
    Publishing date 2023-02-07
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 214294-6
    ISSN 1601-5223 ; 0018-0661
    ISSN (online) 1601-5223
    ISSN 0018-0661
    DOI 10.1186/s41065-023-00268-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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