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  1. Book ; Online ; E-Book: Age structured epidemic modeling

    Li, Xue-Zhi / Yang, Junyuan / Martcheva, Maia

    (Interdisciplinary applied mathematics ; 52)

    2020  

    Author's details Xue-Zhi Li, Junyuan Yang, Maia Martcheva
    Series title Interdisciplinary applied mathematics ; 52
    Collection
    Keywords Biomathematics ; Mathematical models ; Systems biology
    Language English
    Size 1 Online-Ressource(xii, 383 Seiten), Illustrationen, Diagramme
    Publisher Springer
    Publishing place Cham
    Publishing country Switzerland
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020479295
    ISBN 978-3-030-42496-1 ; 9783030424954 ; 3-030-42496-0 ; 3030424952
    DOI 10.1007/978-3-030-42496-1
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: A Model for Analyzing Teaching Quality Data of Sports Faculties Based on Particle Swarm Optimization Neural Network.

    Li, Xue

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 6776603

    Abstract: In this paper, we use a particle swarm optimization neural network algorithm to analyze the teaching data of physical education faculties and evaluate the quality of teaching in physical education faculties. By studying and analyzing the optimization ... ...

    Abstract In this paper, we use a particle swarm optimization neural network algorithm to analyze the teaching data of physical education faculties and evaluate the quality of teaching in physical education faculties. By studying and analyzing the optimization problem of the weight parameters of convolutional neural network training, this paper designs a hybrid algorithm combining the improved PSO algorithm and the traditional gradient descent in the framework of the BP algorithm by using the gradient information of the loss function and the principle of group cooperative search through PSO algorithm. The hybrid algorithm takes the loss function as the objective function, based on the principle of the PSO algorithm, and optimizes the objective function by combining the gradient information of the loss function of the convolutional neural network. The convergence speed and global search ability of the algorithm are effectively improved while ensuring an acceptable increase in computation. The weight values of the three-level indicators of teacher teaching behavior, student learning behavior, and teaching environment relative to the teaching quality of physical education classroom are 0.106, 0.634, and 0.260, respectively, which shows that the dimension of student learning behavior has the highest weight value in the evaluation of physical education classroom teaching quality, followed by teaching environment and finally teacher teaching behavior. Teachers' teaching ability will affect the effect of teaching methods, and the stronger the teaching ability is, the better the selection and utilization of teaching methods can be optimized.
    MeSH term(s) Algorithms ; Computer Simulation ; Data Accuracy ; Humans ; Learning ; Neural Networks, Computer
    Language English
    Publishing date 2022-06-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/6776603
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: LiCoO

    Agarwal, Ashutosh / Li, Xue

    Nanoscale

    2024  Volume 16, Issue 14, Page(s) 7019–7030

    Abstract: In this study, Kraft lignin-derived bio-oil was upgraded with ... ...

    Abstract In this study, Kraft lignin-derived bio-oil was upgraded with LiCoO
    Language English
    Publishing date 2024-04-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 2515664-0
    ISSN 2040-3372 ; 2040-3364
    ISSN (online) 2040-3372
    ISSN 2040-3364
    DOI 10.1039/d4nr00358f
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Design and Implementation of Human Motion Recognition Information Processing System Based on LSTM Recurrent Neural Network Algorithm.

    Li, Xue

    publication RETRACTED

    Computational intelligence and neuroscience

    2021  Volume 2021, Page(s) 3669204

    Abstract: With the comprehensive development of national fitness, men, women, young, and old in China have joined the ranks of fitness. In order to increase the understanding of human movement, many researches have designed a lot of software or hardware to realize ...

    Abstract With the comprehensive development of national fitness, men, women, young, and old in China have joined the ranks of fitness. In order to increase the understanding of human movement, many researches have designed a lot of software or hardware to realize the analysis of human movement state. However, the recognition efficiency of various systems or platforms is not high, and the reduction ability is poor, so the recognition information processing system based on LSTM recurrent neural network under deep learning is proposed to collect and recognize human motion data. The system realizes the collection, processing, recognition, storage, and display of human motion data by constructing a three-layer human motion recognition information processing system and introduces LSTM recurrent neural network to optimize the recognition efficiency of the system, simplify the recognition process, and reduce the data missing rate caused by dimension reduction. Finally, we use the known dataset to train the model and analyze the performance and application effect of the system through the actual motion state. The final results show that the performance of LSTM recurrent neural network is better than the traditional algorithm, the accuracy can reach 0.980, and the confusion matrix results show that the recognition of human motion by the system can reach 85 points to the greatest extent. The test shows that the system can recognize and process the human movement data well, which has great application significance for future physical education and daily physical exercise.
    MeSH term(s) Algorithms ; China ; Humans ; Motion ; Movement ; Neural Networks, Computer
    Language English
    Publishing date 2021-07-06
    Publishing country United States
    Document type Journal Article ; Retracted Publication
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2021/3669204
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Response to yarmolinsky, tzoulaki, gunter, et al.

    Jing, Sun / Li, Xue

    Journal of the National Cancer Institute

    2024  

    Language English
    Publishing date 2024-03-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2992-0
    ISSN 1460-2105 ; 0027-8874 ; 0198-0157
    ISSN (online) 1460-2105
    ISSN 0027-8874 ; 0198-0157
    DOI 10.1093/jnci/djae065
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  6. Article ; Online: Predictive value of background parenchymal enhancement on breast magnetic resonance imaging for pathological tumor response to neoadjuvant chemotherapy in breast cancers: a systematic review.

    Li, Xue / Yan, Fuhua

    Cancer imaging : the official publication of the International Cancer Imaging Society

    2024  Volume 24, Issue 1, Page(s) 35

    Abstract: Objectives: This review aimed to assess the predictive value of background parenchymal enhancement (BPE) on breast magnetic resonance imaging (MRI) as an imaging biomarker for pathologic complete response (pCR) after neoadjuvant chemotherapy (NACT).: ... ...

    Abstract Objectives: This review aimed to assess the predictive value of background parenchymal enhancement (BPE) on breast magnetic resonance imaging (MRI) as an imaging biomarker for pathologic complete response (pCR) after neoadjuvant chemotherapy (NACT).
    Methods: Two reviewers independently performed a systemic literature search using the PubMed, MEDLINE, and Embase databases for studies published up to 11 June 2022. Data from relevant articles were extracted to assess the relationship between BPE and pCR.
    Results: This systematic review included 13 studies with extensive heterogeneity in population characteristics, MRI follow-up points, MRI protocol, NACT protocol, pCR definition, and BPE assessment. Baseline BPE levels were not associated with pCR, except in 1 study that reported higher baseline BPE of the younger participants (< 55 years) in the pCR group than the non-pCR group. A total of 5 studies qualitatively assessed BPE levels and indicated a correlation between reduced BPE after NACT and pCR; however, among the studies that quantitatively measured BPE, the same association was observed only in the subgroup analysis of 2 articles that assessed the status of hormone receptor and human epidermal growth factor receptor 2. In addition, the predictive ability of early BPE changes for pCR was reported in several articles and remains controversial.
    Conclusions: Changes in BPE may be a promising imaging biomarker for predicting pCR in breast cancer. Because current studies remain insufficient, particularly those that quantitatively measure BPE, prospective and multicenter large-sample studies are needed to confirm this relationship.
    MeSH term(s) Humans ; Female ; Prospective Studies ; Neoadjuvant Therapy ; Breast/diagnostic imaging ; Breast Neoplasms/diagnostic imaging ; Breast Neoplasms/drug therapy ; Breast Neoplasms/pathology ; Magnetic Resonance Imaging/methods ; Retrospective Studies ; Multicenter Studies as Topic
    Language English
    Publishing date 2024-03-11
    Publishing country England
    Document type Systematic Review ; Journal Article ; Review
    ZDB-ID 2104862-9
    ISSN 1470-7330 ; 1470-7330
    ISSN (online) 1470-7330
    ISSN 1470-7330
    DOI 10.1186/s40644-024-00672-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Rapid Onset of Intestinal Lymphoma in Crohn Disease.

    Wang, Xin-Yue / Li, Xue-Hua

    Radiology

    2024  Volume 310, Issue 3, Page(s) e232512

    MeSH term(s) Humans ; Crohn Disease/complications ; Crohn Disease/diagnostic imaging ; Intestinal Neoplasms/diagnostic imaging ; Lymphoma/diagnostic imaging
    Language English
    Publishing date 2024-03-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.232512
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ue I Zs.106: Show issues Location:
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  8. Article ; Online: Editorial of special issue on bridging aerosol chemistry and health impact.

    Li, Xue

    The Science of the total environment

    2020  Volume 713, Page(s) 136699

    Language English
    Publishing date 2020-01-15
    Publishing country Netherlands
    Document type Editorial
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2020.136699
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    Zs.A 949: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  9. Article: Non-cell autonomous role of astrocytes in axonal degeneration of cortical projection neurons in hereditary spastic paraplegias.

    Li, Xue-Jun

    Neural regeneration research

    2021  Volume 17, Issue 6, Page(s) 1265–1266

    Language English
    Publishing date 2021-11-12
    Publishing country India
    Document type Journal Article
    ZDB-ID 2388460-5
    ISSN 1876-7958 ; 1673-5374
    ISSN (online) 1876-7958
    ISSN 1673-5374
    DOI 10.4103/1673-5374.327342
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Berberine interacts with gut microbiota and its potential therapy for polycystic ovary syndrome.

    Zhu, Ting-Wei / Li, Xue-Lian

    Clinical and experimental pharmacology & physiology

    2023  Volume 50, Issue 11, Page(s) 835–843

    Abstract: Berberine (BBR) is an isoquinoline alkaloid extracted from Chinese medicinal plants showing a tight correlation with gut microbiota. Polycystic ovary syndrome (PCOS) is a prevalent reproductive and endocrine disorder syndrome among women of childbearing ... ...

    Abstract Berberine (BBR) is an isoquinoline alkaloid extracted from Chinese medicinal plants showing a tight correlation with gut microbiota. Polycystic ovary syndrome (PCOS) is a prevalent reproductive and endocrine disorder syndrome among women of childbearing age. Dysbiosis, the imbalance of intestinal microorganisms, is a potential factor that takes part in the pathogenesis of PCOS. Recent evidence indicates that berberine offers promise for treating PCOS. Here, we review the recent research on the interaction between berberine and intestinal microorganisms, including the changes in the structure of gut bacteria, the intestinal metabolites after BBR treatment, and the effect of gut microbiota on the bioavailability of BBR. We also discuss the therapeutic effect of BBR on PCOS in terms of gut microbiota and its potential mechanisms.
    Language English
    Publishing date 2023-08-21
    Publishing country Australia
    Document type Journal Article ; Review
    ZDB-ID 189277-0
    ISSN 1440-1681 ; 0305-1870 ; 0143-9294
    ISSN (online) 1440-1681
    ISSN 0305-1870 ; 0143-9294
    DOI 10.1111/1440-1681.13814
    Database MEDical Literature Analysis and Retrieval System OnLINE

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