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  1. Article: Social capital, income and subjective well-being: evidence in rural China.

    Zhang, Wenwen

    Heliyon

    2022  Volume 8, Issue 1, Page(s) e08705

    Abstract: In a relational society like China, how does social capital ("relationship") affect people's well-being? This article takes rural China as an example to explore the relationship between social capital, income and the level of well-being of Chinese ... ...

    Abstract In a relational society like China, how does social capital ("relationship") affect people's well-being? This article takes rural China as an example to explore the relationship between social capital, income and the level of well-being of Chinese farmers. After reviewing the definition and measurement of social capital and subjective well-being, this paper tests four hypotheses of social capital, income and subjective well-being. Using a 9200-observation sample from CHIPs 2002 and applying an ordered logistic regression model, this article provides evidence that the level of happiness among farmers is positively correlated with higher income, more active participation of social activities and reciprocal activities. That is, social capital is a strong predictor of happiness. Based on the findings, this article makes policy recommendations from three different aspects.
    Language English
    Publishing date 2022-01-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2021.e08705
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Analysis of the Influence of Innovative Teaching Management Mode in Universities on Students' One-to-One Training and Psychotherapy.

    Zhang, Wenwen

    publication RETRACTED

    Occupational therapy international

    2022  Volume 2022, Page(s) 8505257

    Abstract: Objective: This study expects to investigate and verify the intervention effect of the university's innovative teaching management model on college students' resilience by implementing the university's innovative teaching management model for college ... ...

    Abstract Objective: This study expects to investigate and verify the intervention effect of the university's innovative teaching management model on college students' resilience by implementing the university's innovative teaching management model for college students with low psychological resilience.
    Method: The scientific scale is used to investigate the current level of college students' psychological resilience, and the development characteristics of college students' psychological resilience are obtained through statistical analysis. Based on the theoretical analysis of the application of psychological resilience intervention, combined with the theory of one-to-one tutoring and operational techniques, the university's innovative teaching management mode scheme is designed. The design adopts a quasi-experimental pre-experimental test to investigate and explore the intervention effect system of the university's innovative teaching management mode on college students' psychological resilience. In the intervention, each unit of activity is carried out in strict accordance with the established plan, and records and reflections are made at the end. One-to-one and face-to-face qualitative interviews were conducted with the subjects, and qualitative data were collected for qualitative analysis.
    MeSH term(s) Humans ; Universities ; Occupational Therapy ; Students/psychology ; Psychotherapy
    Language English
    Publishing date 2022-10-12
    Publishing country England
    Document type Journal Article ; Retracted Publication
    ZDB-ID 2095334-3
    ISSN 1557-0703 ; 0966-7903
    ISSN (online) 1557-0703
    ISSN 0966-7903
    DOI 10.1155/2022/8505257
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Social capital, income and subjective well-being: evidence in rural China

    Zhang, Wenwen

    Heliyon. 2022 Jan., v. 8, no. 1

    2022  

    Abstract: In a relational society like China, how does social capital (“relationship”) affect people's well-being? This article takes rural China as an example to explore the relationship between social capital, income and the level of well-being of Chinese ... ...

    Abstract In a relational society like China, how does social capital (“relationship”) affect people's well-being? This article takes rural China as an example to explore the relationship between social capital, income and the level of well-being of Chinese farmers. After reviewing the definition and measurement of social capital and subjective well-being, this paper tests four hypotheses of social capital, income and subjective well-being. Using a 9200-observation sample from CHIPs 2002 and applying an ordered logistic regression model, this article provides evidence that the level of happiness among farmers is positively correlated with higher income, more active participation of social activities and reciprocal activities. That is, social capital is a strong predictor of happiness. Based on the findings, this article makes policy recommendations from three different aspects.
    Keywords income ; issues and policy ; regression analysis ; social capital ; China
    Language English
    Dates of publication 2022-01
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2021.e08705
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: The impact of environmental accidents on the green apparel purchase behavior of Generation Z.

    Liu, Lixian / Zhang, Wenwen / Li, Hao / Zheng, Zeyu

    Frontiers in psychology

    2024  Volume 15, Page(s) 1338702

    Abstract: Introduction: This study examines the impact of environmental accidents on Generation Z's purchase behavior towards green apparel, integrating the Theory of Planned Behavior and the Norm Activation Theory to conceptualize how different dimensions of ... ...

    Abstract Introduction: This study examines the impact of environmental accidents on Generation Z's purchase behavior towards green apparel, integrating the Theory of Planned Behavior and the Norm Activation Theory to conceptualize how different dimensions of environmental accidents influence consumer behavior.
    Methods: Employing focus groups and questionnaires, this research captures data on Generation Z's perceptions and behaviors towards green apparel in the context of environmental accidents. The collected data were analyzed using SPSS software, with structural equation modeling employed to test the research hypotheses.
    Results: The findings indicate that the scale (H12  = 0.545), the degree of suddenness (H18  = 0.357), nature of the effect (H14  = 0.295), and duration (H17  = 0.289) of environmental accidents significantly influence Generation Z's awareness of consequences, behavioral attitudes, subjective norms, and perceived behavioral control regarding the purchase of green clothing. Notably, the scale of environmental accidents has a significant impact on perceived behavioral control, which in turn significantly affects Generation Z's intention to purchase green apparel (H3  = 0.5).
    Discussion: This study elucidates the impact of environmental accidents on Generation Z's green apparel purchase intentions. The findings highlight Generation Z's environmental awareness and social responsibility, influencing their purchasing decisions. This research offers practical insights for brands to enhance green marketing strategies, focusing on product quality, transparency, and consumer education to align with Generation Z's values and expectations. Future research should explore additional factors affecting purchase behavior and strategies to bridge the intention-behavior gap.
    Language English
    Publishing date 2024-04-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2024.1338702
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Enantioselective Hydrosilylation of β,β-Disubstituted Enamides to Construct α-Aminosilanes with Vicinal Stereocenters.

    Zhang, Wen-Wen / Li, Bi-Jie

    Angewandte Chemie (International ed. in English)

    2022  , Page(s) e202214534

    Abstract: Despite the advances in the area of catalytic alkene hydrosilylation, the enantioselective hydrosilylation of alkenes bearing a heteroatom substituent is scarce. Here we report a rhodium-catalyzed hydrosilylation of β,β-disubstituted enamides to directly ...

    Abstract Despite the advances in the area of catalytic alkene hydrosilylation, the enantioselective hydrosilylation of alkenes bearing a heteroatom substituent is scarce. Here we report a rhodium-catalyzed hydrosilylation of β,β-disubstituted enamides to directly afford valuable α-aminosilanes in a highly regio-, diastereo-, and enantioselective manner. Stereodivergent synthesis could be achieved by regulating substrate geometry and ligand configuration to generate all the possible stereoisomers in high enantio-purity.
    Language English
    Publishing date 2022-11-07
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2011836-3
    ISSN 1521-3773 ; 1433-7851
    ISSN (online) 1521-3773
    ISSN 1433-7851
    DOI 10.1002/anie.202214534
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Machine learning guided tuning charge distribution by composition in MOFs for oxygen evolution reaction.

    Yu, Licheng / Zhang, Wenwen / Nie, Zhihao / Duan, Jingjing / Chen, Sheng

    RSC advances

    2024  Volume 14, Issue 13, Page(s) 9032–9037

    Abstract: Traditional design/optimization of metal-organic frameworks (MOFs) is time-consuming and labor-intensive. In this study, we utilize machine learning (ML) to accelerate the synthesis of MOFs. We have built a library of over 900 MOFs with different metal ... ...

    Abstract Traditional design/optimization of metal-organic frameworks (MOFs) is time-consuming and labor-intensive. In this study, we utilize machine learning (ML) to accelerate the synthesis of MOFs. We have built a library of over 900 MOFs with different metal salts, solvent ratios, reaction durations and temperatures, and utilize zeta potentials as target variables for ML training. A total of four ML models have been used to train the collected dataset and assess their convergence performances, where Random Forest Regression (RFR) and Gradient Boosting Regression (GBR) models show strong correlation and accurate predictions. We then predicted two kinds of MOFs from RFR and GBR models. Remarkably, the experimentally data of the synthesized MOFs closely matched the predicted results, and these MOFs exhibited excellent electrocatalytic performances for oxygen evolution. This study would have general implications in the utilization of machine learning for accelerating the synthesis of MOFs for diverse applications.
    Language English
    Publishing date 2024-03-18
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d3ra08873a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Robinin inhibits pancreatic cancer cell proliferation, EMT and inflammation via regulating TLR2-PI3k-AKT signaling pathway.

    Zhang, Wenwen / Liu, Wenting / Hu, Xingchen

    Cancer cell international

    2023  Volume 23, Issue 1, Page(s) 328

    Abstract: Purpose: To investigate the anti-tumor effect of Robinin (Toll-like receptor 2 inhibitor) in pancreatic cancer cells via regulating tumor microenvironment.: Methods: The effects of Robinin on cell proliferation or migration in Mia-PACA2 and PANC-1 ... ...

    Abstract Purpose: To investigate the anti-tumor effect of Robinin (Toll-like receptor 2 inhibitor) in pancreatic cancer cells via regulating tumor microenvironment.
    Methods: The effects of Robinin on cell proliferation or migration in Mia-PACA2 and PANC-1 were determined, using CCK8 or wound healing assay, respectively. The typical markers of EMT (αSMA and snail) and the inflammation markers (IL-6 and TNF-α) were all detected by western blot. CU-T12-9 (TLR2 agonist) was used to rescue Robinin's effect. PI3k-p85α and Phosphorylated-AKT (p-AKT) were evaluated, compared to the β-actin and AKT, using western blot.
    Results: Robinin significantly inhibited cell proliferation and migration in Mia-PACA2 and PANC-1, compared to HPNE (**P < 0.01). Robinin also attenuated the expression of α-SMA and snail in Mia-PACA2, and PANC-1 (**P < 0.01). Besides, it was found that expression of IL-6 and TNF-α were diminished in presence of Robinin in Mia-PACA2, and PANC-1 (**P < 0.01). Western blot confirmed that Robinin could target on TLR2, and further downregulated PI3k-AKT signaling pathway to exert biological function.
    Conclusions: Robinin exerts anti-tumor effect perhaps via downregulating inflammation and EMT in pancreatic cancer cell through inhibiting TLR2-PI3k-AKT signaling pathway. Robinin may be a novel agent in adjuvant therapy of pancreatic cancer.
    Language English
    Publishing date 2023-12-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 2091573-1
    ISSN 1475-2867
    ISSN 1475-2867
    DOI 10.1186/s12935-023-03167-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Sustainable application of rice-waste for fuels and valuable chemicals-a mini review.

    Zhang, Wenwen / Xu, Xiaoyu / Yuan, Yongjun / Wang, Zichun

    Frontiers in chemistry

    2023  Volume 11, Page(s) 1225073

    Abstract: The global annual production of rice is over 750 million tons, and generates a huge amount of biomass waste, such as straw, husk, and bran, making rice waste an ideal feedstock for biomass conversion industries. This review focuses on the current ... ...

    Abstract The global annual production of rice is over 750 million tons, and generates a huge amount of biomass waste, such as straw, husk, and bran, making rice waste an ideal feedstock for biomass conversion industries. This review focuses on the current progress in the transformation of rice waste into valuable products, including biochar, (liquid and gaseous) biofuels, valuable chemicals (sugars, furan derivatives, organic acids, and aromatic hydrocarbons), and carbon/silicon-based catalysts and catalyst supports. The challenges and future prospectives are highlighted to guide future studies in rice waste valorization for sustainable production of fuels and chemicals.
    Language English
    Publishing date 2023-10-19
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2711776-5
    ISSN 2296-2646
    ISSN 2296-2646
    DOI 10.3389/fchem.2023.1225073
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Clinical significance of MRA, TCD and electroencephalogram in the diagnosis of intracranial artery stenosis in ischemic cerebrovascular disease.

    Chang, Shihui / Zhang, Wenwen / Wang, Min / Wang, Zhaoyue

    Biotechnology & genetic engineering reviews

    2023  , Page(s) 1–13

    Abstract: The clinical value of magnetic resonance angiography (MRA), transcranial Doppler ultrasound (TCD) and electroencephalogram (EEG) in the diagnosis of intracranial artery stenosis in ischemic cerebrovascular disease (ICVD) was explored. The clinical data ... ...

    Abstract The clinical value of magnetic resonance angiography (MRA), transcranial Doppler ultrasound (TCD) and electroencephalogram (EEG) in the diagnosis of intracranial artery stenosis in ischemic cerebrovascular disease (ICVD) was explored. The clinical data of TCD, MRA and EEG in 98 patients with ICVD were retrospectively analyzed. The clinical value of TCD, MRA combined with EEG in the diagnosis of intracranial artery stenosis in ICVD was analyzed based on the results of digital subtraction angiography (DSA) as the gold standard. A total of 98 patients were diagnosed with 27 cases of normal intracranial artery, 32 cases of mild stenosis, 25 cases of moderate stenosis, and 14 cases of severe stenosis DSA examination. TCD was detected in 23 cases of normal, 25 cases of mild stenosis, 23 cases of moderate stenosis and 13 cases of severe stenosis. MRA showed 24 cases of normal, 28 cases of mild stenosis, 21 cases of moderate stenosis and 12 cases of severe stenosis. EEG examination detected that there were 25 cases of normal, 24 cases of mild stenosis, 22 cases of moderate stenosis, and 14 cases of severe stenosis. Sensitivity, accuracy and negative predictive value had significant differences between combined diagnosis and single diagnosis. The combined detection of TCD, MRA and EEG is consistent with DSA detection in the diagnosis of ICVD intracranial artery stenosis.
    Language English
    Publishing date 2023-04-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 49457-4
    ISSN 2046-5556 ; 0264-8725
    ISSN (online) 2046-5556
    ISSN 0264-8725
    DOI 10.1080/02648725.2023.2199529
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Bibliometric analysis of research trends and active research areas in chimeric antigen receptor T cell therapy for hematologic malignancies.

    Zhang, Gaofeng / Deng, Lian / Lu, Huirong / Zhang, Wenwen

    International journal of clinical pharmacy

    2023  Volume 46, Issue 1, Page(s) 186–194

    Abstract: Background: In the past decade, chimeric antigen receptor (CAR) T-cells have successfully treated cancers, especially hematologic malignancies. Although many articles have been published on CAR T-cell therapy for hematologic malignancies, bibliometric ... ...

    Abstract Background: In the past decade, chimeric antigen receptor (CAR) T-cells have successfully treated cancers, especially hematologic malignancies. Although many articles have been published on CAR T-cell therapy for hematologic malignancies, bibliometric analysis remains unexplored.
    Aim: This study aimed to investigate and analyze existing trends and active research areas on CAR T-cell therapy for hematologic malignancies, providing novel perspectives for clinical decision-making and scientific research.
    Method: From 2000 to 2023, the Web of Science Core Collection was searched for articles published on CAR T-cells for the treatment of hematologic malignancies. Comprehensive visual analyses of annual publication, country, institutions, authors, co-cited references, and keywords were performed using CiteSpace software and VOSviewer.
    Results: A total of 2,451 articles on CAR T-cells were published to treat hematologic malignancies from 01 January 2000 to 31 August 2023. The United States, China, and Germany were the top three nations in publications. In the keyword analysis, "immunotherapy" and "chimeric antigen receptor" were used most frequently. Moreover, the yellow node, which included terms such as "chimeric antigen receptor T cells," "efficacy," "CAR T-cell therapy," "toxicity," "CAR-NK," and "tumor microenvironment" were most active research areas.
    Conclusion: This study provided a comprehensive analysis of publications on CAR T-cell therapy for hematologic malignancies from 2000 to 2023. The findings provide current trends and potential hotspots in CAR T-cell therapy for hematologic malignancies and contribute valuable direction for future studies in this field.
    MeSH term(s) Humans ; Immunotherapy, Adoptive/adverse effects ; Receptors, Chimeric Antigen ; Hematologic Neoplasms/therapy ; Bibliometrics ; Cell- and Tissue-Based Therapy ; Tumor Microenvironment
    Chemical Substances Receptors, Chimeric Antigen
    Language English
    Publishing date 2023-12-12
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2601204-2
    ISSN 2210-7711 ; 2210-7703 ; 0928-1231
    ISSN (online) 2210-7711
    ISSN 2210-7703 ; 0928-1231
    DOI 10.1007/s11096-023-01670-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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