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  1. Book ; Online ; E-Book: Phytoremediation of arsenic contaminated sites in China

    Chen, Tongbin

    theory and practice

    (SpringerBriefs in environmental science)

    2020  

    Abstract: This book introduces readers to the main theories of phytoremediation and its application to arsenic-contaminated soils in China. The hyperaccumulation theories are introduced, including the use of hyperaccumulators to remove large amounts of arsenic ... ...

    Author's details Tongbin Chen [and four others]
    Series title SpringerBriefs in environmental science
    Abstract This book introduces readers to the main theories of phytoremediation and its application to arsenic-contaminated soils in China. The hyperaccumulation theories are introduced, including the use of hyperaccumulators to remove large amounts of arsenic without producing toxic symptoms. The use of synchrotron-based X-ray absorption fine structure radiation to disclose the hyperaccumulation mechanism – a method that makes it possible to detect the elements in plant tissues without destroying the sample – is introduced in detail. This book also includes practical application cases of phytoremediation, which are rarely found in the literature. Allowing readers to gain a thorough understanding of phytoremediation technology, and demonstrating its efficiency in cleaning arsenic-contaminated soils, the book offers a valuable asset for graduate students, lecturers, researchers and engineers in the field of soil remediation. .
    Keywords Phytoremediation ; Soil remediation ; Soils/Arsenic content
    Subject code 628.5
    Language English
    Size 1 online resource (VI, 82 p. 58 illus., 30 illus. in color.)
    Edition 1st ed. 2020.
    Publisher Springer
    Publishing place Singapore
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 981-15-7820-6 ; 981-15-7819-2 ; 978-981-15-7820-5 ; 978-981-15-7819-9
    DOI 10.1007/978-981-15-7820-5
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article: The interplay between psychological well-being, stress, and burnout: Implications for translators and interpreters.

    Chen, Tian

    Heliyon

    2023  Volume 9, Issue 8, Page(s) e18589

    Abstract: As far as translation is concerned, translators and interpreters are required to cope with multiple challenges during their careers such as managing time constraints related to performing their job. Indeed, a translation job is a challenging task that is ...

    Abstract As far as translation is concerned, translators and interpreters are required to cope with multiple challenges during their careers such as managing time constraints related to performing their job. Indeed, a translation job is a challenging task that is very demanding cognitively as it entails deep concentration that also involves the different psychological aspects of humans. Such complicated operations including linguistic, and cognitive ones can induce overwhelming stress and anxiety. Similarly, burnout has been the main issue in this context, and it needs to be investigated in this domain. In recent years, an increasing attention has been drawn to translators' health and well-being as it is a key sustainable development goal and an essential prerequisite to coping with stress. Correspondingly, studies have shown that people's well-being has a constructive impact on their performance and success. It is worth noting that the present literature can bring about useful benefits to educational institutes, and other stakeholders and authorities working in the educational arena as the research findings help them to reflect on the contributions of positive emotions to learning, which results in a reduction in the level of stress and burnout and hence educational flourishing. This review makes an effort to arrange for some implications for translators and interpreters.
    Language English
    Publishing date 2023-07-22
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e18589
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: A spectrum adaptive kernel polynomial method.

    Chen, Tyler

    The Journal of chemical physics

    2023  Volume 159, Issue 11

    Abstract: The kernel polynomial method (KPM) is a powerful numerical method for approximating spectral densities. Typical implementations of the KPM require an a prior estimate for an interval containing the support of the target spectral density, and while such ... ...

    Abstract The kernel polynomial method (KPM) is a powerful numerical method for approximating spectral densities. Typical implementations of the KPM require an a prior estimate for an interval containing the support of the target spectral density, and while such estimates can be obtained by classical techniques, this incurs addition computational costs. We propose a spectrum adaptive KPM based on the Lanczos algorithm without reorthogonalization, which allows the selection of KPM parameters to be deferred to after the expensive computation is finished. Theoretical results from numerical analysis are given to justify the suitability of the Lanczos algorithm for our approach, even in finite precision arithmetic. While conceptually simple, the paradigm of decoupling computation from approximation has a number of practical and pedagogical benefits, which we highlight with numerical examples.
    Language English
    Publishing date 2023-09-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 3113-6
    ISSN 1089-7690 ; 0021-9606
    ISSN (online) 1089-7690
    ISSN 0021-9606
    DOI 10.1063/5.0166678
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Investigating the mental health of university students during the COVID-19 pandemic in a UK university: a machine learning approach using feature permutation importance.

    Chen, Tianhua

    Brain informatics

    2023  Volume 10, Issue 1, Page(s) 27

    Abstract: Mental wellbeing of university students is a growing concern that has been worsening during the COVID-19 pandemic. Numerous studies have gathered empirical data to explore the mental health impact of the pandemic on university students and investigate ... ...

    Abstract Mental wellbeing of university students is a growing concern that has been worsening during the COVID-19 pandemic. Numerous studies have gathered empirical data to explore the mental health impact of the pandemic on university students and investigate factors associated with higher levels of distress. While the online questionnaire survey has been a prevalent means to collect data, regression analysis has been observed a dominating approach to interpret and understand the impact of independent factors on a mental wellbeing state of interest. Drawbacks such as sensitivity to outliers, ineffectiveness in case of multiple predictors highly correlated may limit the use of regression in complex scenarios. These observations motivate the underlying research to propose alternative computational methods to investigate the questionnaire data. Inspired by recent machine learning advances, this research aims to construct a framework through feature permutation importance to empower the application of a variety of machine learning algorithms that originate from different computational frameworks and learning theories, including algorithms that cannot directly provide exact numerical contributions of individual factors. This would enable to explore quantitative impact of predictors in influencing student mental wellbeing from multiple perspectives as a result of using different algorithms, thus complementing the single view due to the dominant use of regression. Applying the proposed approach over an online survey in a UK university, the analysis suggests the past medical record and wellbeing history and the experience of adversity contribute significantly to mental wellbeing states; and the frequent communication with families and friends to keep good relationship as well as regular exercise are generally contributing to improved mental wellbeing.
    Language English
    Publishing date 2023-10-10
    Publishing country Germany
    Document type Journal Article
    ISSN 2198-4018
    ISSN 2198-4018
    DOI 10.1186/s40708-023-00205-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Hung-up knee jerk in stiff-person syndrome.

    Chen, Tychicus

    BMJ case reports

    2023  Volume 16, Issue 3

    MeSH term(s) Humans ; Stiff-Person Syndrome/diagnosis
    Language English
    Publishing date 2023-03-07
    Publishing country England
    Document type Case Reports ; Journal Article
    ISSN 1757-790X
    ISSN (online) 1757-790X
    DOI 10.1136/bcr-2023-255008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Programming material logic using magnetically controlled bistability.

    Chen, Tian

    Proceedings of the National Academy of Sciences of the United States of America

    2023  Volume 120, Issue 17, Page(s) e2304391120

    Language English
    Publishing date 2023-04-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2304391120
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Evolutionary dynamics of health food safety regulatory information disclosure from the perspective of consumer participation

    Luo, Jun / Chen, Tingqiang

    Food Science & Nutrition, 7(12):3958-3968

    2019  

    Abstract: The “trust” attribute of health food has intensified the serious information asymmetry problem in the health food market. Moreover, it has strengthened the formation and influence of potential or hidden safety risks of health food, bringing huge impacts ... ...

    Abstract The “trust” attribute of health food has intensified the serious information asymmetry problem in the health food market. Moreover, it has strengthened the formation and influence of potential or hidden safety risks of health food, bringing huge impacts on social harmony and stability. Therefore, this study builds a model of health food enterprise production and operation and government regulatory information disclosure from the perspective of consumer participation. The study fully considers the government's policy burdens and the degree of consumer response to food safety regulatory information. Moreover, it aims to explore the evolution mechanism of food enterprise production and operation strategies and government regulatory information disclosure strategies and analyze the evolution process of the government behavior in health food safety regulatory information disclosure. The theoretical derivation and simulation analysis found that the more sensitive consumers are to health food safety regulatory information, the more significant the profitability improvement of enterprises producing quality health food, thus urging the government to make an objective and comprehensive disclosure of health food safety regulatory information.
    Keywords consumer participation ; evolution model ; health food ; safety risk ; regulatory information disclosure
    Language English
    Document type Article
    Database Repository for Life Sciences

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  8. Article: [Progress and challenges of clinical decision support system for rare diseases].

    Chen, T / Lyu, H T

    Zhonghua nei ke za zhi

    2023  Volume 62, Issue 7, Page(s) 869–875

    MeSH term(s) Humans ; Decision Support Systems, Clinical ; Rare Diseases/therapy
    Language Chinese
    Publishing date 2023-07-02
    Publishing country China
    Document type Journal Article
    ZDB-ID 754223-9
    ISSN 0578-1426
    ISSN 0578-1426
    DOI DOI:10.3760/cma.j.cn112138-20230321-00164
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: An Argument-Based Validation of an Asynchronous Written Interaction Task.

    Chen, Ting

    Frontiers in psychology

    2022  Volume 13, Page(s) 889488

    Abstract: Interactional competence has attracted increasing attention due to its significance for language users. Previous studies concerning interactional competence mainly focus on synchronous interaction tasks, while the utilization of asynchronous interaction ... ...

    Abstract Interactional competence has attracted increasing attention due to its significance for language users. Previous studies concerning interactional competence mainly focus on synchronous interaction tasks, while the utilization of asynchronous interaction tasks is relatively under-explored despite the importance of asynchronous interaction in real life. Taking the "Responding To Forum Posts" (RTFP) task used in the International Undergraduate English Entrance Examination (IUEEE) at Shanghai Jiao Tong University (SJTU) as an example, the study aims to validate the use of asynchronous interaction tasks in the assessment of learner's interactional competence. 49 students' performances on the RTFP task were collected through a prototype test of the IUEEE in 2021. The data were analyzed through content analysis, analysis of variance, and ordinal logistic regression. The results showed that the task elicited a wide range of interactional features and test-takers at different proficiency levels differed significantly in the variety of features and the amount of emotion-based interaction. The study also found significant correlations between some of the features and test takers' overall performance on interactional competence. The study has provided validity evidence for the RTFP task in the assessment of interactional competence and thrown light on the construct of asynchronous written interactional competence.
    Language English
    Publishing date 2022-06-22
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2022.889488
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Circulating Non-Coding RNAs as Potential Diagnostic Biomarkers in Hepatocellular Carcinoma.

    Chen, Tingsong

    Journal of hepatocellular carcinoma

    2022  Volume 9, Page(s) 1029–1040

    Abstract: Hepatocellular carcinoma (HCC) is currently the second leading cause of cancer-related deaths worldwide, with high morbidity and mortality. The clinical diagnosis of HCC mainly depends on imaging technology, such as ultrasound and computed tomography, ... ...

    Abstract Hepatocellular carcinoma (HCC) is currently the second leading cause of cancer-related deaths worldwide, with high morbidity and mortality. The clinical diagnosis of HCC mainly depends on imaging technology, such as ultrasound and computed tomography, and serum biomarkers, such as alpha-fetoprotein (AFP). However, HCC is still hard to diagnose at an early stage due to the low sensitivity of the above mentioned traditional methods. Typically, HCC is diagnosed at an advanced stage when limited treatment options are available. It is urgent to identify effective biomarkers for the early diagnosis of HCC. Increasing evidence uncovered ncRNAs, including microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs), could be used in HCC diagnosis. The aim of this review is to summarize our understanding of circulating miRNAs, lncRNAs and circRNAs as fluid-based non-invasive biomarkers, and aiming at providing new insights into the diagnosis of HCC.
    Language English
    Publishing date 2022-09-15
    Publishing country New Zealand
    Document type Journal Article ; Review
    ZDB-ID 2780784-8
    ISSN 2253-5969
    ISSN 2253-5969
    DOI 10.2147/JHC.S380237
    Database MEDical Literature Analysis and Retrieval System OnLINE

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