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  1. Article ; Online: The "Hand as Foot" teaching method in immune checkpoint inhibitors.

    Meng, Fanjie / Li, Wenxin

    Asian journal of surgery

    2023  Volume 46, Issue 10, Page(s) 4633–4634

    MeSH term(s) Humans ; Immune Checkpoint Inhibitors ; Hand ; Upper Extremity ; Foot ; Lower Extremity
    Chemical Substances Immune Checkpoint Inhibitors
    Language English
    Publishing date 2023-06-08
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2023.05.055
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The role of digital finance for the growth of renewable energy: evidence from China.

    Li, Wenxin / Fan, Ying / Sun, Zhu / Feng, Lianyong

    Environmental science and pollution research international

    2024  Volume 31, Issue 10, Page(s) 14641–14661

    Abstract: Developing renewable energy (RE) is the inevitable choice for China to achieve its climate goals. However, financing RE investments remains challenging. Meanwhile, China's digital finance (DF) is profoundly influencing the trajectory of the energy ... ...

    Abstract Developing renewable energy (RE) is the inevitable choice for China to achieve its climate goals. However, financing RE investments remains challenging. Meanwhile, China's digital finance (DF) is profoundly influencing the trajectory of the energy transition. This study empirically investigates the role of DF on the growth of RE, what aspects of DF matter, and its geographical attenuation process, taking both spatial and temporal dimensions into consideration. The empirical results show that DF and its coverage breadth and usage depth can facilitate RE development in both local and neighboring regions, with a comparatively limited effect of digitalization level. The impact of DF on the growth of RE is heterogeneous and has been declining over time. Specifically, this effect is observable only in the eastern regions. The spillover effects of DF on RE development vary in different spatial thresholds, which has clear boundary effects and geographical decay characteristics.
    MeSH term(s) China ; Climate ; Geography ; Investments ; Renewable Energy ; Economic Development
    Language English
    Publishing date 2024-01-27
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-31704-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Influence of green finance on carbon emission intensity: empirical evidence from China based on spatial metrology

    Li, Wenxin / Fan, Ying

    Environ Sci Pollut Res. 2023 Feb., v. 30, no. 8 p.20310-20326

    2023  

    Abstract: Based on the panel data of 30 provinces in China from 2011 to 2020, this paper empirically examines the direct effect, spatial spillover effect, and total effect of green finance on carbon emission intensity through the spatial econometric model, ... ...

    Abstract Based on the panel data of 30 provinces in China from 2011 to 2020, this paper empirically examines the direct effect, spatial spillover effect, and total effect of green finance on carbon emission intensity through the spatial econometric model, considering both spatial and temporal patterns. The results show the following: (1) The carbon emission intensity of each province in China shows a noticeable spatial spillover effect and a positive spatial correlation distribution of “high-high” and “low-low” agglomeration. (2) The development of green finance in China is interrelated but uneven in space, which presents a gradient strengthening trend from the west to the east. (3) Green finance development will curb the intensity of carbon emissions, and this effect has gradually been increasing over time and differs by region. Specifically, green finance will increase the carbon emission intensity of adjacent areas in the short term but will significantly reduce the local province’s carbon emission intensity to a larger extent. Finally, it puts forward policy recommendations to promote the coordinated development of green finance and a low-carbon economy.
    Keywords carbon ; econometric models ; emissions factor ; finance ; issues and policy ; metrology ; China
    Language English
    Dates of publication 2023-02
    Size p. 20310-20326.
    Publishing place Springer Berlin Heidelberg
    Document type Article ; Online
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-022-23523-6
    Database NAL-Catalogue (AGRICOLA)

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  4. Article ; Online: Influence of green finance on carbon emission intensity: empirical evidence from China based on spatial metrology.

    Li, Wenxin / Fan, Ying

    Environmental science and pollution research international

    2022  Volume 30, Issue 8, Page(s) 20310–20326

    Abstract: Based on the panel data of 30 provinces in China from 2011 to 2020, this paper empirically examines the direct effect, spatial spillover effect, and total effect of green finance on carbon emission intensity through the spatial econometric model, ... ...

    Abstract Based on the panel data of 30 provinces in China from 2011 to 2020, this paper empirically examines the direct effect, spatial spillover effect, and total effect of green finance on carbon emission intensity through the spatial econometric model, considering both spatial and temporal patterns. The results show the following: (1) The carbon emission intensity of each province in China shows a noticeable spatial spillover effect and a positive spatial correlation distribution of "high-high" and "low-low" agglomeration. (2) The development of green finance in China is interrelated but uneven in space, which presents a gradient strengthening trend from the west to the east. (3) Green finance development will curb the intensity of carbon emissions, and this effect has gradually been increasing over time and differs by region. Specifically, green finance will increase the carbon emission intensity of adjacent areas in the short term but will significantly reduce the local province's carbon emission intensity to a larger extent. Finally, it puts forward policy recommendations to promote the coordinated development of green finance and a low-carbon economy.
    MeSH term(s) China ; Carbon ; Models, Econometric ; Economic Development
    Chemical Substances Carbon (7440-44-0)
    Language English
    Publishing date 2022-10-17
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-022-23523-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Analysis on the Influence Path of User Knowledge Withholding in Virtual Academic Community - Based on Structural Equation Method-Artificial Neural Network Model.

    Le, Chengyi / Li, Wenxin

    Frontiers in psychology

    2022  Volume 13, Page(s) 764857

    Abstract: The phenomenon of knowledge withholding is a vital issue that undermines knowledge sharing and innovation, hinders the development of offline and online organizations. Clarifying the relationship between influencing factors and knowledge withholding is ... ...

    Abstract The phenomenon of knowledge withholding is a vital issue that undermines knowledge sharing and innovation, hinders the development of offline and online organizations. Clarifying the relationship between influencing factors and knowledge withholding is significant to improve the phenomenon of knowledge withholding in offline and online organizations. Few types of research focus on the online virtual academic community and integrate the three factors of knowledge, individual, and environment to research knowledge withholding. To solve the limitation, this research is based on sociology and psychology-related theories. The two dimensions of enabling and inhibition are divided into factors affecting knowledge withholding. An attempt is made to explore the path between the three types of factors influencing knowledge, individual and environment, and knowledge withholding. This study collected data from 616 users in China's virtual academic community. It used a structural equation model combined with a cross-layer connected neural network to conduct an empirical analysis on the proposed hypothesis. The results found that: in the virtual academic community, knowledge power in the enabling dimension is the main reason for users to form knowledge psychological ownership, which affects users' knowledge withholding. However, the effect of professional commitment on users' knowledge psychological ownership is not significant. After SEM-ANN model fitting, the combined inhibitory effect of community privacy protection and community reciprocity on user knowledge withholding in the inhibition dimension is significantly improved. This research has a specific guiding significance for enhancing the knowledge withholding phenomenon of the virtual academic community and creating an excellent academic exchange atmosphere.
    Language English
    Publishing date 2022-02-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2022.764857
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Research on factor analysis and method for evaluating grouting effects using machine learning.

    Li, Wenxin / Chen, Juntao / Zhu, Jun / Ji, Xinbo / Fu, Ziqun

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 7782

    Abstract: The evaluation of grouting effects constitutes a critical aspect of grouting engineering. With the maturity of the grouting project, the workload and empirical characteristics of grouting effect evaluation are gradually revealed. In the context of the ... ...

    Abstract The evaluation of grouting effects constitutes a critical aspect of grouting engineering. With the maturity of the grouting project, the workload and empirical characteristics of grouting effect evaluation are gradually revealed. In the context of the Qiuji coal mine's directional drilling and grouting to limestone aquifer reformation, this study thoroughly analyzes the influencing factors of grouting effects from geological and engineering perspectives, comparing these with various engineering indices associated with drilling and grouting. This led to the establishment of a "dual-process, multi-parameter, and multi-factor" system, employing correlation analysis to validate the selected indices' reasonableness and scientific merit. Utilizing the chosen indices, eight high-performing machine learning models and three parameter optimization algorithms were employed to develop a model for assessing the effectiveness of directional grouting in limestone aquifers. The model's efficacy was evaluated based on accuracy, recall, precision, and F-score metrics, followed by practical engineering validation. Results indicate that the "dual-process, multi-parameter, multi-factor" system elucidates the relationship between influencing factors and engineering parameters, demonstrating the intricacy of evaluating grouting effects. Analysis revealed that the correlation among the eight selected indicators-including the proportion of boreholes in the target rock strata, drilling length, leakage, water level, pressure of grouting, mass of slurry injected, permeability properties of limestone aquifers before being grouted, permeability properties of limestone aquifers after being grouted-is not substantial, underscoring their viability as independent indicators for grouting effect evaluation. Comparative analysis showed that the Adaboost machine learning model, optimized via a genetic algorithm, demonstrated superior performance and more accurate evaluation results. Engineering validation confirmed that this model provides a more precise and realistic assessment of grouting effects compared to traditional methods.
    Language English
    Publishing date 2024-04-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-57837-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Glycolysis: an emerging regulator of osteoarthritis.

    Jiang, Dingming / Guo, Jianan / Liu, Yingquan / Li, Wenxin / Lu, Dezhao

    Frontiers in immunology

    2024  Volume 14, Page(s) 1327852

    Abstract: Osteoarthritis (OA) has been a leading cause of disability in the elderly and there remains a lack of effective therapeutic approaches as the mechanisms of pathogenesis and progression have yet to be elucidated. As OA progresses, cellular metabolic ... ...

    Abstract Osteoarthritis (OA) has been a leading cause of disability in the elderly and there remains a lack of effective therapeutic approaches as the mechanisms of pathogenesis and progression have yet to be elucidated. As OA progresses, cellular metabolic profiles and energy production are altered, and emerging metabolic reprogramming highlights the importance of specific metabolic pathways in disease progression. As a crucial part of glucose metabolism, glycolysis bridges metabolic and inflammatory dysfunctions. Moreover, the glycolytic pathway is involved in different areas of metabolism and inflammation, and is associated with a variety of transcription factors. To date, it has not been fully elucidated whether the changes in the glycolytic pathway and its associated key enzymes are associated with the onset or progression of OA. This review summarizes the important role of glycolysis in mediating cellular metabolic reprogramming in OA and its role in inducing tissue inflammation and injury, with the aim of providing further insights into its pathological functions and proposing new targets for the treatment of OA.
    MeSH term(s) Aged ; Humans ; Glycolysis ; Osteoarthritis ; Inflammation ; Cellular Reprogramming ; Metabolic Reprogramming
    Language English
    Publishing date 2024-01-09
    Publishing country Switzerland
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2606827-8
    ISSN 1664-3224 ; 1664-3224
    ISSN (online) 1664-3224
    ISSN 1664-3224
    DOI 10.3389/fimmu.2023.1327852
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: A Case of Nasal Extranodal NK/T-cell Lymphoma of Lower Limb Muscle Revealed by 18F-FDG PET/CT.

    Hu, Xianwen / Li, Wenxin / Li, Dandan / Wang, Pan / Cai, Jiong

    Current medical imaging

    2024  

    Abstract: Background: Extranodal NK/T-cell lymphoma (ENKTCL) is a type of malignant non-Hodgkin's lymphoma originating from mature T cells and NK cells, mainly involving the upper aerodigestive tract, including the nasal cavity, nasopharynx, oropharynx, oral ... ...

    Abstract Background: Extranodal NK/T-cell lymphoma (ENKTCL) is a type of malignant non-Hodgkin's lymphoma originating from mature T cells and NK cells, mainly involving the upper aerodigestive tract, including the nasal cavity, nasopharynx, oropharynx, oral cavity, hypopharynx, larynx, and occasionally the skin, salivary glands, testes, and gastrointestinal tract, but rarely the skeletal muscle.
    Case presentation: An 82-year-old man presented with redness, swelling, and pain in his right lower limb for 3 months. He was initially diagnosed with cellulitis at another hospital and was treated conservatively for two weeks without improvement. He underwent a biopsy of the lesioned muscle and histopathology revealed nasal type ENKTCL. 18F-FDG PET/CT was recommended for the staging of the lymphoma, and the results showed that except for the muscles of the right lower extremity, no other organs and tissues were involved.
    Conclusion: ENKTCL confined to the muscle of the lower extremity is rare and often initially misdiagnosed as myositis because of red, swollen, heat, and painful symptoms that resemble inflammation, and in it, higher radiotracer uptake in 18F-FDG PET/CT helps to distinguish it from myositis.
    Language English
    Publishing date 2024-03-07
    Publishing country United Arab Emirates
    Document type Case Reports
    ISSN 1573-4056
    ISSN (online) 1573-4056
    DOI 10.2174/0115734056286027240118045347
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: STAM2 negatively regulates the MyD88-mediated NF-κB signaling pathway in miiuy croaker, Miichthys miiuy.

    Xu, Yan / Li, Wenxin / Chen, Ya / Xu, Tianjun / Sun, Yuena

    Fish & shellfish immunology

    2024  Volume 149, Page(s) 109550

    Abstract: Signal transducing adapter molecule 2 (STAM2), a member of the Signal Transducing Adapter Molecule (STAM) family, is a protein with significant implications in diverse signaling pathways and endocytic membrane trafficking. However, the role of the STAM2, ...

    Abstract Signal transducing adapter molecule 2 (STAM2), a member of the Signal Transducing Adapter Molecule (STAM) family, is a protein with significant implications in diverse signaling pathways and endocytic membrane trafficking. However, the role of the STAM2, especially in fish, remains largely unknown. In this study, we discovered that STAM2 negatively regulates the NF-κB signaling pathway, and its inhibitory effect is enhanced upon LPS induction. Our study confirmed that STAM2 can enhance the degradation of myeloid differentiation primary-response protein 88 (MyD88), an upstream regulator of NF-κB pathway. Furthermore, the UIM domain of STAM2 is important for the inhibition of MyD88. Mechanistically, STAM2 inhibits the NF-κB signaling pathway by targeting the MyD88 autophagy pathway. In addition, we showed that STAM2 promotes the proliferation of Vibrio harveyi. In summary, our study reveals that STAM2 inhibits NF-κB signaling activation and mediates innate immunity in teleost via the autophagy pathway.
    Language English
    Publishing date 2024-04-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 1067738-0
    ISSN 1095-9947 ; 1050-4648
    ISSN (online) 1095-9947
    ISSN 1050-4648
    DOI 10.1016/j.fsi.2024.109550
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Case report: detection of multiple sporadic gastrointestinal stromal tumors by dual-time

    Li, Chuan / Li, Wenxin / Shang, Maocai / Wang, Pan / Hu, Xianwen

    Frontiers in oncology

    2024  Volume 14, Page(s) 1321179

    Abstract: Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors affecting the gastrointestinal tract. Typically, GISTs are solitary; however, in rare cases, they may be multiple and appear in one or more organs. Multiple GISTs can appear ... ...

    Abstract Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors affecting the gastrointestinal tract. Typically, GISTs are solitary; however, in rare cases, they may be multiple and appear in one or more organs. Multiple GISTs can appear in familial GISTs, children, or certain tumor syndromes such as neurofibromatosis type 1, Carney syndrome, and Carney-Stratakis syndrome. However, the diagnosis of primary multiple sporadic GISTs is often more difficult than that of these diseases. Herein, we report a case of multiple primary sporadic GISTs in a 64-year-old man, affecting the abdominal cavity and retroperitoneum, as identified through dual-time point positron emission tomography (PET) with
    Language English
    Publishing date 2024-03-28
    Publishing country Switzerland
    Document type Case Reports
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2024.1321179
    Database MEDical Literature Analysis and Retrieval System OnLINE

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