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  1. Article ; Online: Evaluating the role of Shujing Tongdu massage in enhancing wound recovery and alleviating spinal disease symptoms: A randomized controlled trial.

    Zhang, Li / Xu, Wei / Zhang, Lei / Cui, Xiao / Cheng, Fang

    International wound journal

    2024  Volume 21, Issue 1, Page(s) e14633

    Abstract: ... in order to determine the effectiveness of Shujing Tongdu massage on patients with chronic lesions or ... the implementation of Shujing Tongdu massage therapy twice weekly for the duration of 12 weeks, intervention group ... on the findings of this research, Shujing Tongdu massage therapy effectively promoted wound healing and mitigated ...

    Abstract A randomized, controlled clinical trial was conducted from 2022 to 2023 at a hospital specializing in Traditional Chinese Medicine in Shanghai. A total of 564 participants were allocated into control and intervention groups in order to determine the effectiveness of Shujing Tongdu massage on patients with chronic lesions or spinal disorders. No significant differences were observed in baseline characteristics between the groups; age, gender and condition type were all distributed in a comparable manner. Following the implementation of Shujing Tongdu massage therapy twice weekly for the duration of 12 weeks, intervention group exhibited noteworthy enhancements. Significantly, rate of lesion healing achieved in the intervention group increased by 30%, while it merely improved by 10% in the control group. The intervention group exhibited decrease in pain intensity from 6.5 to 4.2, whereas control group demonstrated comparatively smaller reduction from 6.7 to 6.0. Range of motion in the intervention group increased substantially from 45 to 60 degrees, whereas it increased from 44 to 46 degrees in the control group. In the intervention group, Quality of Life scores increased from 50 to 75, exceeding the increase of 58 in the control group. There was significant rise in the Mental Well-being Index for intervention group, from 60 to 80, in contrast to rise of 64 from 62 in the control group. Statistically significant outcomes were determined, establishing the massage therapy's efficacy. Mild discomfort and muscle soreness were the most frequent adverse effects in the intervention group, whereas vertigo was more prevalent in the control group. Based on the findings of this research, Shujing Tongdu massage therapy effectively promoted wound healing and mitigated symptoms associated with spinal disorders, indicating its potential as the supplementary therapeutic modality in clinical environments.
    MeSH term(s) Humans ; Quality of Life ; China ; Massage ; Treatment Outcome
    Language English
    Publishing date 2024-01-25
    Publishing country England
    Document type Randomized Controlled Trial ; Journal Article
    ZDB-ID 2170920-8
    ISSN 1742-481X ; 1742-4801
    ISSN (online) 1742-481X
    ISSN 1742-4801
    DOI 10.1111/iwj.14633
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: [Optimization of extraction process of Congrong Shujing Granules based on AHP-CRITIC analysis].

    Ou, Ze-Min / Wang, Jin-Yu / Zhang, Bing-Bing / Yan, Lin / Zhang, Yao / Wang, Yan-Jing / Tong, Yan / Ma, Zhen-Shan / Liu, De-Wen / Cai, Jing

    Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica

    2022  Volume 47, Issue 13, Page(s) 3481–3487

    Abstract: ... of each group in the orthogonal test were compared to optimize the extraction process of Congrong Shujing ... the optimized extraction process of Congrong Shujing Granules was stable and feasible and could be applied ...

    Abstract The index weight coefficients were determined by comparing the analytic hierarchy process(AHP), the criteria importance through inter-criteria correlation(CRITIC), and the AHP-CRITIC mixed weighting method. The comprehensive scores of index components(echinacoside, salvianolic acid B, paeoniflorin, and ointment yield) of each group in the orthogonal test were compared to optimize the extraction process of Congrong Shujing Granules. The results showed that the AHP-CRITIC mixed weighting method scientifically optimized the extraction process. To be specific, the decoction pieces should be added with the 6-fold amount of water and extracted twice, 1 h each time. After three verification tests, the average mass fractions of echinacoside, salvianolic acid B, and paeoniflorin were 0.72, 9.34, and 5.92 mg·g~(-1), respectively, and the average ointment yield was 47.18%. As verified by the AHP-CRITIC mixed weighting method and the orthogonal test, the optimized extraction process of Congrong Shujing Granules was stable and feasible and could be applied to industrial production.
    MeSH term(s) Drugs, Chinese Herbal ; Ointments ; Water
    Chemical Substances Drugs, Chinese Herbal ; Ointments ; Water (059QF0KO0R)
    Language Chinese
    Publishing date 2022-07-18
    Publishing country China
    Document type Journal Article
    ZDB-ID 1004649-5
    ISSN 1001-5302 ; 0254-0029
    ISSN 1001-5302 ; 0254-0029
    DOI 10.19540/j.cnki.cjcmm.20211125.303
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Language Processing Model Construction and Simulation Based on Hybrid CNN and LSTM

    Shujing Zhang

    Computational Intelligence and Neuroscience, Vol

    2021  Volume 2021

    Abstract: Deep learning is the latest trend of machine learning and artificial intelligence research. As a new field with rapid development over the past decade, it has attracted more and more researchers’ attention. Convolutional Neural Network (CNN) model is one ...

    Abstract Deep learning is the latest trend of machine learning and artificial intelligence research. As a new field with rapid development over the past decade, it has attracted more and more researchers’ attention. Convolutional Neural Network (CNN) model is one of the most important classical structures in deep learning models, and its performance has been gradually improved in deep learning tasks in recent years. Convolutional neural networks have been widely used in image classification, target detection, semantic segmentation, and natural language processing because they can automatically learn the feature representation of sample data. Firstly, this paper analyzes the model structure of a typical convolutional neural network model to increase the network depth and width in order to improve its performance, analyzes the network structure that further improves the model performance by using the attention mechanism, and then summarizes and analyzes the current special model structure. In order to further improve the text language processing effect, a convolutional neural network model, Hybrid convolutional neural network (CNN), and Long Short-Term Memory (LSTM) based on the fusion of text features and language knowledge are proposed. The text features and language knowledge are integrated into the language processing model, and the accuracy of the text language processing model is improved by parameter optimization. Experimental results on data sets show that the accuracy of the proposed model reaches 93.0%, which is better than the reference model in the literature.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
    Subject code 401
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Language Processing Model Construction and Simulation Based on Hybrid CNN and LSTM.

    Zhang, Shujing

    publication RETRACTED

    Computational intelligence and neuroscience

    2021  Volume 2021, Page(s) 2578422

    Abstract: Deep learning is the latest trend of machine learning and artificial intelligence research. As a new field with rapid development over the past decade, it has attracted more and more researchers' attention. Convolutional Neural Network (CNN) model is one ...

    Abstract Deep learning is the latest trend of machine learning and artificial intelligence research. As a new field with rapid development over the past decade, it has attracted more and more researchers' attention. Convolutional Neural Network (CNN) model is one of the most important classical structures in deep learning models, and its performance has been gradually improved in deep learning tasks in recent years. Convolutional neural networks have been widely used in image classification, target detection, semantic segmentation, and natural language processing because they can automatically learn the feature representation of sample data. Firstly, this paper analyzes the model structure of a typical convolutional neural network model to increase the network depth and width in order to improve its performance, analyzes the network structure that further improves the model performance by using the attention mechanism, and then summarizes and analyzes the current special model structure. In order to further improve the text language processing effect, a convolutional neural network model, Hybrid convolutional neural network (CNN), and Long Short-Term Memory (LSTM) based on the fusion of text features and language knowledge are proposed. The text features and language knowledge are integrated into the language processing model, and the accuracy of the text language processing model is improved by parameter optimization. Experimental results on data sets show that the accuracy of the proposed model reaches 93.0%, which is better than the reference model in the literature.
    MeSH term(s) Artificial Intelligence ; Language ; Machine Learning ; Natural Language Processing ; 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 10.1155/2021/2578422
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Evaluation of attraction and spatial pattern analysis of world cultural and natural heritage tourism resources in China.

    Zhang, Hui / Long, Shujing

    PloS one

    2023  Volume 18, Issue 8, Page(s) e0289093

    Abstract: The attraction of tourism resources is very important to promote the sustainable development of tourism industry. This study takes China's world cultural and natural heritage as the research object, and constructs an attractiveness evaluation system for ... ...

    Abstract The attraction of tourism resources is very important to promote the sustainable development of tourism industry. This study takes China's world cultural and natural heritage as the research object, and constructs an attractiveness evaluation system for China's world cultural and natural heritage tourism resources by collecting user feedback data from three major travel OTA platforms. At the same time, ArcGIS 10.7 software was used for spatial autocorrelation analysis and kernel density analysis to explore the spatial distribution pattern of tourism resource attraction. The results show that China's world cultural and natural heritage can be subdivided into 5 main categories and 10 sub-categories. From the perspective of spatial aggregation, only the Moran's I index of tourist resource points showing a significant spatial aggregation feature. This study is helpful to reveal the weaknesses of tourism resource points and provide reference for sustainable development of attraction and optimization of tourism planning and management.
    MeSH term(s) Tourism ; China ; Travel ; Industry ; Spatial Analysis
    Language English
    Publishing date 2023-08-08
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0289093
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  6. Article: Age-related changes in motor planning for prior intentions: a mouse tracking reach-to-click task.

    Zhang, Shujing / Wilmut, Kate / Zhang, Kaiyu / Wang, Shan

    Frontiers in psychology

    2024  Volume 15, Page(s) 1323798

    Abstract: When we complete sequential movements with different intentions, we plan our movements and adjust ahead. Such a phenomenon is called anticipatory planning for prior intentions and is known to decline with age. In daily life activities, we often need to ... ...

    Abstract When we complete sequential movements with different intentions, we plan our movements and adjust ahead. Such a phenomenon is called anticipatory planning for prior intentions and is known to decline with age. In daily life activities, we often need to consider and plan for multiple demands in one movement sequence. However, previous studies only considered one dimension of prior intentions, either different types of onward actions or different precisions of fit or placement. Therefore, in this study, we investigated anticipatory planning for both extrinsic (movement direction) and intrinsic (fit precision) target-related properties in a computer-based movement task and analyzed the computer cursor movement kinematics of both young and older adults. We found that older people consider and adjust for different properties step-by-step, with movement direction being considered as a prior intention during reach movement and fit precision as a motor constraint during drop movement. The age-related changes in the completion of onward actions are constrained by one's general cognitive ability, sensorimotor performance and effective motor planning for prior intentions. Age-related decline in motor planning can manifest as counterproductive movement profiles, resulting in suboptimal performance of intended actions.
    Language English
    Publishing date 2024-03-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2024.1323798
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  7. Article: Editorial: New insights into dyserythropoiesis: from pathophysiology, molecular mechanisms to treatments for erythroid disorders.

    Zhang, Shujing / Mei, Yang / Zhao, Baobing

    Frontiers in cell and developmental biology

    2023  Volume 11, Page(s) 1321170

    Language English
    Publishing date 2023-11-02
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2737824-X
    ISSN 2296-634X
    ISSN 2296-634X
    DOI 10.3389/fcell.2023.1321170
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Soluble alpha-synuclein post-translational modifications: unexpected regulators of pathological alpha-synuclein amplification.

    Kapila, Simran / Sun, Yuhan / Peng, Chao / Zhang, Shujing

    Neural regeneration research

    2023  Volume 19, Issue 5, Page(s) 959–960

    Language English
    Publishing date 2023-10-20
    Publishing country India
    Document type Journal Article
    ZDB-ID 2388460-5
    ISSN 1876-7958 ; 1673-5374
    ISSN (online) 1876-7958
    ISSN 1673-5374
    DOI 10.4103/1673-5374.385303
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Antifungal Activity and Mechanism of Xenocoumacin 1, a Natural Product from

    Zhang, Shujing / Han, Yunfei / Wang, Lanying / Han, Jinhua / Yan, Zhiqiang / Wang, Yong / Wang, Yonghong

    Journal of fungi (Basel, Switzerland)

    2024  Volume 10, Issue 3

    Abstract: Sclerotinia ... ...

    Abstract Sclerotinia sclerotiorum
    Language English
    Publishing date 2024-02-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2784229-0
    ISSN 2309-608X ; 2309-608X
    ISSN (online) 2309-608X
    ISSN 2309-608X
    DOI 10.3390/jof10030175
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: [The correlation between preoperative neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio and postoperative recurrence of chronic rhinosinusitis].

    Zhang, Yaming / Li, Zhiyong / Wang, Shujing / Guo, Dandan / Wang, Guanghui

    Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology, head, and neck surgery

    2024  Volume 38, Issue 2, Page(s) 133–139

    Abstract: Objective: ...

    Abstract Objective:
    MeSH term(s) Humans ; Neutrophils ; Platelet Count ; Rhinosinusitis ; Blood Platelets ; Lymphocytes ; Prognosis ; Rhinitis, Allergic ; Retrospective Studies
    Language Chinese
    Publishing date 2024-02-01
    Publishing country China
    Document type English Abstract ; Journal Article
    ISSN 2096-7993
    ISSN 2096-7993
    DOI 10.13201/j.issn.2096-7993.2024.02.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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