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  1. Article ; Online: Executive Overconfidence and Green Innovation

    Wang Dandan

    E3S Web of Conferences, Vol 275, p

    2021  Volume 02053

    Abstract: As one of the important ways to achieve sustainable economic development, enterprise green innovation will also have an important impact on the future development of enterprises. Through the analysis, it is found that green innovation can realize the ... ...

    Abstract As one of the important ways to achieve sustainable economic development, enterprise green innovation will also have an important impact on the future development of enterprises. Through the analysis, it is found that green innovation can realize the sustainable development of enterprises. However, green innovation has the characteristics of high risk and double externality, so the enthusiasm of enterprise green innovation is relatively low. As the decision maker of enterprises, the characteristics of management will have an important impact on green innovation. This paper studies the influence of Managerial Overconfidence on green innovation. This paper first studies the impact of management overconfidence on enterprise risk-taking ability, and finds that management overconfidence can improve enterprise risk-taking ability. Then it studies the impact of enterprise risk-taking ability on green innovation. The higher the enterprise risk-taking ability is, the more conducive to the implementation of green innovation activities. Through theoretical analysis, this paper concludes that management overconfidence can further promote the green innovation of enterprises by improving the risk-taking ability of enterprises.
    Keywords Environmental sciences ; GE1-350
    Subject code 338
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Lung ultrasound score and in-hospital mortality of adults with acute respiratory distress syndrome: a meta-analysis.

    Wang, Dandan / Qi, Yun

    BMC pulmonary medicine

    2024  Volume 24, Issue 1, Page(s) 62

    Abstract: Background: Lung ultrasound (LUS) score could quantitatively reflect the lung aeration, which has been well applied in critically ill patients. The aim of the systematic review and meta-analysis was to evaluate the association between LUS score at ... ...

    Abstract Background: Lung ultrasound (LUS) score could quantitatively reflect the lung aeration, which has been well applied in critically ill patients. The aim of the systematic review and meta-analysis was to evaluate the association between LUS score at admission and the risk of in-hospital mortality of adults with acute respiratory distress syndrome (ARDS).
    Methods: Toachieve the objective of this meta-analysis, we conducted a thorough search of PubMed, Embase, Cochrane Library, and the Web of Science to identify relevant observational studies with longitudinal follow-up. We employed random-effects models to combine the outcomes, considering the potential influence of heterogeneity.
    Results: Thirteen cohort studies with 1,022 hospitalized patients with ARDS were included. Among them, 343 patients (33.6%) died during hospitalization. The pooled results suggested that the LUS score at admission was higher in non-survivors as compared to survivors (standardized mean difference = 0.73, 95% confidence interval [CI]: 0.55 to 0.91, p < 0.001; I
    Conclusion: Our findings suggest that a high LUS score at admission may be associated with a high risk of in-hospital mortality of patients with ARDS.
    MeSH term(s) Adult ; Humans ; Hospital Mortality ; Prognosis ; Lung/diagnostic imaging ; Respiratory Distress Syndrome/diagnostic imaging ; Cohort Studies ; Ultrasonography/methods ; Observational Studies as Topic
    Language English
    Publishing date 2024-01-29
    Publishing country England
    Document type Meta-Analysis ; Systematic Review ; Journal Article
    ZDB-ID 2059871-3
    ISSN 1471-2466 ; 1471-2466
    ISSN (online) 1471-2466
    ISSN 1471-2466
    DOI 10.1186/s12890-023-02826-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Regulation of ULK1 by WTAP/IGF2BP3 axis enhances mitophagy and progression in epithelial ovarian cancer.

    Wang, Jiao / Zheng, Fei / Wang, Dandan / Yang, Qing

    Cell death & disease

    2024  Volume 15, Issue 1, Page(s) 97

    Abstract: There is a pressing need for innovative therapeutic strategies for patients with epithelial ovarian cancer (EOC). Previous studies have shown that UNC-51-like kinase 1 (ULK1), a serine/threonine kinase, is crucial in regulating cellular autophagy and ... ...

    Abstract There is a pressing need for innovative therapeutic strategies for patients with epithelial ovarian cancer (EOC). Previous studies have shown that UNC-51-like kinase 1 (ULK1), a serine/threonine kinase, is crucial in regulating cellular autophagy and mitophagy across various tumor types. However, the clinical implications, biological functions, and potential mechanisms of ULK1 in EOC remain poorly understood. This study demonstrates that ULK1 expression is upregulated in EOC tissue samples and EOC cell lines, with increased ULK1 expression correlating with poor prognosis. Functionally, overexpressed ULK1 enhances the proliferation and migration abilities of EOC cells both in vitro and in vivo. Mechanistically, ULK1 was identified as an m6A target of WTAP. WTAP-mediated m6A modification of ULK1 enhanced its mRNA stability in an IGF2BP3-dependent manner, leading to elevated ULK1 expression and enhanced mitophagy in EOC. In summary, our research reveals that the WTAP/IGF2BP3-ULK1 axis significantly influences protective mitophagy in EOC, contributing to its progression. Therefore, the regulatory mechanisms and biological function of ULK1 identify it as a potential molecular target for therapeutic intervention in EOC.
    MeSH term(s) Female ; Humans ; Autophagy-Related Protein-1 Homolog/genetics ; Autophagy-Related Protein-1 Homolog/metabolism ; Carcinoma, Ovarian Epithelial/genetics ; Carcinoma, Ovarian Epithelial/pathology ; Cell Cycle Proteins/metabolism ; Cell Line, Tumor ; Cell Proliferation/genetics ; Intracellular Signaling Peptides and Proteins/genetics ; Intracellular Signaling Peptides and Proteins/metabolism ; Mitophagy/genetics ; Ovarian Neoplasms/metabolism ; Ovarian Neoplasms/pathology ; Protein Serine-Threonine Kinases/genetics ; Protein Serine-Threonine Kinases/metabolism ; RNA Splicing Factors ; RNA-Binding Proteins/metabolism
    Chemical Substances Autophagy-Related Protein-1 Homolog (EC 2.7.11.1) ; Cell Cycle Proteins ; Intracellular Signaling Peptides and Proteins ; Protein Serine-Threonine Kinases (EC 2.7.11.1) ; RNA Splicing Factors ; ULK1 protein, human (EC 2.7.11.1) ; WTAP protein, human ; IGF2BP3 protein, human ; RNA-Binding Proteins
    Language English
    Publishing date 2024-01-29
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2541626-1
    ISSN 2041-4889 ; 2041-4889
    ISSN (online) 2041-4889
    ISSN 2041-4889
    DOI 10.1038/s41419-024-06477-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Biodeterioration of polyethylene by Bacillus cereus and Rhodococcus equi isolated from soil.

    Liu, Xinbei / Dong, Xusheng / Wang, Dandan / Xie, Zhihong

    International microbiology : the official journal of the Spanish Society for Microbiology

    2024  

    Abstract: Polyethylene (PE), a non-biodegradable plastic, is widely used in agriculture as a mulch material, which causes serious plastic pollution when it is discarded. Recent studies have described the biodeterioration of PE by bacteria, but it is difficult for ... ...

    Abstract Polyethylene (PE), a non-biodegradable plastic, is widely used in agriculture as a mulch material, which causes serious plastic pollution when it is discarded. Recent studies have described the biodeterioration of PE by bacteria, but it is difficult for a single bacterial species to effectively degrade PE plastic. We isolated two strains with PE-degrading ability, Bacillus cereus (E1) and Rhodococcus equi (E3), from the soil attached to plastic waste on the south side of Mount Tai, China, using a medium with PE plastic as the only carbon source. By clear zone area analysis, we found that E1 mixed with E3 could improve the degradation of PE plastics. The mixture of E1 and E3 was incubated for 110 days in a medium containing PE and mulch film as the only carbon source, respectively. After 110 days, a decrease in pH and mass was observed. Obvious slits and depressions were observed on the surface of the PE film and the mulch films using scanning electron microscopy. The surface hydrophobicity of both films decreased, and FTIR revealed the formation of new oxidation groups on their surfaces during the degradation process and the destruction of the original CH
    Language English
    Publishing date 2024-03-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1454951-7
    ISSN 1618-1905 ; 1139-6709
    ISSN (online) 1618-1905
    ISSN 1139-6709
    DOI 10.1007/s10123-024-00509-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Exploring the causal relationship between female reproductive traits and frailty: a two-sample mendelian randomization study.

    Fan, Maoxia / Wang, Dandan / Wu, Xiaoqi / Gao, Wulin

    Frontiers in physiology

    2024  Volume 15, Page(s) 1349952

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2024-03-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564217-0
    ISSN 1664-042X
    ISSN 1664-042X
    DOI 10.3389/fphys.2024.1349952
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Affective video recommender systems: A survey.

    Wang, Dandan / Zhao, Xiaoming

    Frontiers in neuroscience

    2022  Volume 16, Page(s) 984404

    Abstract: Traditional video recommendation provides the viewers with customized media content according to their historical records (e.g., ratings, reviews). However, such systems tend to generate terrible results if the data is insufficient, which leads to a cold- ...

    Abstract Traditional video recommendation provides the viewers with customized media content according to their historical records (e.g., ratings, reviews). However, such systems tend to generate terrible results if the data is insufficient, which leads to a cold-start problem. An affective video recommender system (AVRS) is a multidiscipline and multimodal human-robot interaction (HRI) system, and it incorporates physical, physiological, neuroscience, and computer science subjects and multimedia resources, including text, audio, and video. As a promising research domain, AVRS employs advanced affective analysis technologies in video resources; therefore, it can solve the cold-start problem. In AVRS, the viewers' emotional responses can be obtained from various techniques, including physical signals (e.g., facial expression, gestures, and speech) and internal signals (e.g., physiological signals). The changes in these signals can be detected when the viewers face specific situations. The physiological signals are a response to central and autonomic nervous systems and are mostly involuntarily activated, which cannot be easily controlled. Therefore, it is suitable for reliable emotion analysis. The physical signals can be recorded by a webcam or recorder. In contrast, the physiological signals can be collected by various equipment, e.g., psychophysiological heart rate (HR) signals calculated by echocardiogram (ECG), electro-dermal activity (EDA), and brain activity (GA) from electroencephalography (EEG) signals, skin conductance response (SCR) by a galvanic skin response (GSR), and photoplethysmography (PPG) estimating users' pulse. This survey aims to provide a comprehensive overview of the AVRS domain. To analyze the recent efforts in the field of affective video recommendation, we collected 92 relevant published articles from Google Scholar and summarized the articles and their key findings. In this survey, we feature these articles concerning AVRS from different perspectives, including various traditional recommendation algorithms and advanced deep learning-based algorithms, the commonly used affective video recommendation databases, audience response categories, and evaluation methods. Finally, we conclude the challenge of AVRS and provide the potential future research directions.
    Language English
    Publishing date 2022-08-26
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2411902-7
    ISSN 1662-453X ; 1662-4548
    ISSN (online) 1662-453X
    ISSN 1662-4548
    DOI 10.3389/fnins.2022.984404
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Two-dimensional spin-gapless semiconductors: A mini-review.

    Wang, Jianhua / Wang, Dandan

    Frontiers in chemistry

    2022  Volume 10, Page(s) 996344

    Abstract: In the past decade, two-dimensional (2D) materials and spintronic materials have been rapidly developing in recent years. 2D spin-gapless semiconductors (SGSs) are a novel class of ferromagnetic 2D spintronic materials with possible high Curie ... ...

    Abstract In the past decade, two-dimensional (2D) materials and spintronic materials have been rapidly developing in recent years. 2D spin-gapless semiconductors (SGSs) are a novel class of ferromagnetic 2D spintronic materials with possible high Curie temperature, 100% spin-polarization, possible one-dimensional or zero-dimensional topological signatures, and other exciting spin transport properties. In this mini-review, we summarize a series of ideal 2D SGSs in the last 3 years, including 2D oxalate-based metal-organic frameworks, 2D single-layer Fe
    Language English
    Publishing date 2022-08-25
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2711776-5
    ISSN 2296-2646
    ISSN 2296-2646
    DOI 10.3389/fchem.2022.996344
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Why Not Blow the Whistle on Health Care Insurance Fraud? Evidence from Jiangsu Province, China.

    Wang, Dandan / Zhan, Changchun

    Risk management and healthcare policy

    2022  Volume 15, Page(s) 1897–1915

    Abstract: Purpose: To identify the factors that influence whistleblowing behavior as it relates to health care insurance fraud in Jiangsu Province, China.: Methods: To construct a factor model and formulate research hypotheses using the Motivation-Opportunity- ... ...

    Abstract Purpose: To identify the factors that influence whistleblowing behavior as it relates to health care insurance fraud in Jiangsu Province, China.
    Methods: To construct a factor model and formulate research hypotheses using the Motivation-Opportunity-Ability framework. We designed a questionnaire containing 24 items and distributed it on-site to 2081 respondents in Jiangsu Province, China. Afterward, we applied structural equation modeling to validate the research hypotheses.
    Results: Policy awareness negatively contributes to whistleblowing behavior, risk perception does not reduce the incentive to blow the whistle, and an inability to recognize fraud is another critical barrier to converting whistleblowing intentions into behavior.
    Conclusion: Practices that are likely to promote citizen whistleblowing on insurance fraud may focus on the constraints identified by the comprehensive Motivation-Opportunity-Ability framework.
    Language English
    Publishing date 2022-10-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 2495128-6
    ISSN 1179-1594
    ISSN 1179-1594
    DOI 10.2147/RMHP.S379300
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Transcriptomic perspectives of memory-like NK cells and aging.

    Wang, Dandan / Malarkannan, Subramaniam

    Genome medicine

    2022  Volume 14, Issue 1, Page(s) 57

    Abstract: A recent study highlights the presence of a unique memory-like natural killer (NK) cell subset, which accumulates with aging and appears to associate withdisease severity in COVID-19 patients. While the clinical relevance of memory in NK cells is being ... ...

    Abstract A recent study highlights the presence of a unique memory-like natural killer (NK) cell subset, which accumulates with aging and appears to associate withdisease severity in COVID-19 patients. While the clinical relevance of memory in NK cells is being debated, the molecular identity of this subset in the form of a single-cell transcriptome is essential to define their origin, longevity, functions, and disease relevance.
    MeSH term(s) Aging/genetics ; COVID-19/immunology ; Humans ; Killer Cells, Natural/immunology ; Transcriptome
    Language English
    Publishing date 2022-05-25
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2484394-5
    ISSN 1756-994X ; 1756-994X
    ISSN (online) 1756-994X
    ISSN 1756-994X
    DOI 10.1186/s13073-022-01059-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: The popularity of contradictory information about COVID-19 vaccine on social media in China.

    Wang, Dandan / Zhou, Yadong

    Computers in human behavior

    2022  Volume 134, Page(s) 107320

    Abstract: To eliminate the impact of contradictory information on vaccine hesitancy on social media, this research developed a framework to compare the popularity of information expressing contradictory attitudes towards COVID-19 vaccine or vaccination, mine the ... ...

    Abstract To eliminate the impact of contradictory information on vaccine hesitancy on social media, this research developed a framework to compare the popularity of information expressing contradictory attitudes towards COVID-19 vaccine or vaccination, mine the similarities and differences among contradictory information's characteristics, and determine which factors influenced the popularity mostly. We called Sina Weibo API to collect data. Firstly, to extract multi-dimensional features from original tweets and quantify their popularity, content analysis, sentiment computing and k-medoids clustering were used. Statistical analysis showed that anti-vaccine tweets were more popular than pro-vaccine tweets, but not significant. Then, by visualizing the features' centrality and clustering in information-feature networks, we found that there were differences in text characteristics, information display dimension, topic, sentiment, readability, posters' characteristics of the original tweets expressing different attitudes. Finally, we employed regression models and SHapley Additive exPlanations to explore and explain the relationship between tweets' popularity and content and contextual features. Suggestions for adjusting the organizational strategy of contradictory information to control its popularity from different dimensions, such as poster's influence, activity and identity, tweets' topic, sentiment, readability were proposed, to reduce vaccine hesitancy.
    Language English
    Publishing date 2022-05-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 52665-4
    ISSN 0747-5632
    ISSN 0747-5632
    DOI 10.1016/j.chb.2022.107320
    Database MEDical Literature Analysis and Retrieval System OnLINE

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