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  1. Book ; Online ; E-Book: Organic Agriculture and Biodiversity in China

    Han, Xiao / Wang, Lei

    2024  

    Subject code 631.58
    Language English
    Size 1 online resource (252 pages)
    Edition 1st ed.
    Publisher Elsevier Science & Technology
    Publishing place San Diego
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 9780323906029 ; 9780323908238 ; 0323906028 ; 0323908233
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Handbook of Technical and Vocational Teacher Professional Development in the Digital Age

    Han, Xibin / Zhou, Qian / Li, Ming / Wang, Yuping

    (SpringerBriefs in Education)

    2024  

    Series title SpringerBriefs in Education
    Keywords Teacher training ; Industrial or vocational training ; Education ; TVET teachers' digital competencies ; Professional development for TVET teachers ; Teacher training in vocational education ; Assessing teacher competence in vocational education ; Digital transformation in vocational education ; A competency framework for TVET teachers ; Indicators of professional competencies in vocational education ; TVET teacher training models ; Exemplars of good practice in TVET
    Language English
    Size 1 electronic resource (125 pages)
    Publisher Springer Nature
    Publishing place Singapore
    Document type Book ; Online
    Note English
    HBZ-ID HT030612867
    ISBN 9789819959365 ; 9819959365
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article: Evaluating blended learning effectiveness: an empirical study from undergraduates' perspectives using structural equation modeling.

    Han, Xiaotian

    Frontiers in psychology

    2023  Volume 14, Page(s) 1059282

    Abstract: Following the global COVID-19 outbreak, blended learning (BL) has received increasing attention from educators. The purpose of this study was: (a) to develop a measurement to evaluate the effectiveness of blended learning for undergraduates; and (b) to ... ...

    Abstract Following the global COVID-19 outbreak, blended learning (BL) has received increasing attention from educators. The purpose of this study was: (a) to develop a measurement to evaluate the effectiveness of blended learning for undergraduates; and (b) to explore the potential association between effectiveness with blended learning and student learning outcomes. This research consisted of two stages. In Stage I, a measurement for evaluating undergraduates' blended learning perceptions was developed. In Stage II, a non-experimental, correlational design was utilized to examine whether or not there is an association between blended learning effectiveness and student learning outcomes. SPSS 26.0 and AMOS 23.0 were utilized to implement factor analysis and structured equation modeling. The results of the study demonstrated: (1) The hypothesized factors (course overview, course objectives, assessments, 1148 class activities, course resources, and technology support) were aligned as a unified system in blended learning. (2) There was a positive relationship between the effectiveness of blended learning and student learning outcomes. Additional findings, explanations, and suggestions for future research were also discussed in the study.
    Language English
    Publishing date 2023-05-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2023.1059282
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Associations between the helpfulness of teacher induction programs, teacher self-efficacy, and anticipated first-year teacher retention.

    Han, Xiaotian

    Frontiers in psychology

    2023  Volume 14, Page(s) 1088111

    Abstract: First-year teachers need help because they are confronted with various challenges and are more likely to leave the profession within a few years. Studies have demonstrated the efficacy of evidence-based teacher induction programs (TIPs) in enhancing the ... ...

    Abstract First-year teachers need help because they are confronted with various challenges and are more likely to leave the profession within a few years. Studies have demonstrated the efficacy of evidence-based teacher induction programs (TIPs) in enhancing the performance of new teachers and promoting positive student outcomes. However, there has been opposition to this assertion, with some suggesting alternative explanations for the observed effects. This study applied Horn et al's high-quality TIP model as the theoretical framework and employed a non-experimental, correlational design to address the research questions by collecting data from 408 first-year primary school teachers in Shanghai. Correlations and multiple regressions were examined in the study. The results revealed the following: (1) the perceptions of the helpfulness of TIP were not found to correlate significantly with teacher self-efficacy; (2) there was a limited negative correlation (
    Language English
    Publishing date 2023-02-23
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2023.1088111
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online ; E-Book: Disruptive Innovation through Digital Transformation

    Han, Xue / Wu, Yuanyuan / Zheng, Jie

    Multi-Sided Platforms of E-Health in China

    2020  

    Abstract: The book addresses the prevalent digital transformation and focuses on its significant disruption in healthcare. In light of the distinctive characteristics and evolution of the Chinese healthcare industry, private multi-sided platform (MSP) companies ... ...

    Author's details by Xue Han, Yuanyuan Wu, Jie Zheng
    Abstract The book addresses the prevalent digital transformation and focuses on its significant disruption in healthcare. In light of the distinctive characteristics and evolution of the Chinese healthcare industry, private multi-sided platform (MSP) companies emerge to offer novel values and explore the industry value chain. Drawing on the management and economics literature of MSPs, this book examines the selected Chinese MSPs and compares them with the counterpart MSPs in the U.S. This analysis highlights how the unfolding healthcare disruption is valuable for both scholars and practitioners to understand the trends and to take effective actions. “Disruptive Innovation through Digital Transformation: Multi-Sided Platforms of E-Health in China” provides readers in the developing and developed countries with insights on how to approach the current multi-sided platform and to resolve the current problems to better serve customers and patients in the healthcare market.
    Keywords Health care management ; Health services administration ; Information technology ; Business—Data processing ; Health Care Management ; IT in Business ; Indústria sanitària ; Informàtica mèdica ; Salut en línia
    Subject code 170.835
    Language English
    Size 1 online resource (XV, 108 p. 16 illus., 13 illus. in color.)
    Edition 1st ed. 2020.
    Publisher Springer Singapore ; Imprint: Springer
    Publishing place Singapore
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 981-15-3944-8 ; 981-15-3943-X ; 978-981-15-3944-2 ; 978-981-15-3943-5
    DOI 10.1007/978-981-15-3944-2
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  6. Article ; Online: Investigation on Deep Learning Model of College English Based on Multimodal Learning Method.

    Han, Xiuying

    publication RETRACTED

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 7001392

    Abstract: Deep learning refers to active learning that allows students to perceive, experience, understand, and apply knowledge. Deep learning focuses on the mastery of knowledge and skills and more on the cultivation of higher-order thinking skills such as ... ...

    Abstract Deep learning refers to active learning that allows students to perceive, experience, understand, and apply knowledge. Deep learning focuses on the mastery of knowledge and skills and more on the cultivation of higher-order thinking skills such as awareness, problem-solving, and knowledge transfer. In order to improve the quality of English classroom teaching in today's colleges and universities and cultivate high-level applied foreign language talents, this paper constructs a multimodal teaching model based on deep learning theory and discusses how to apply the model to college English teaching practice in order to promote the realization of students' deep learning, improve the effectiveness of English learning, and provide a reference for the teaching reform of college English courses.
    MeSH term(s) Deep Learning ; Humans ; Language ; Problem-Based Learning ; Students ; Universities
    Language English
    Publishing date 2022-10-07
    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 10.1155/2022/7001392
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Construction of Economic Data Management System Based on BP Neural Network.

    Han, Xing

    publication RETRACTED

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 9036917

    Abstract: In order to further understand the economic data management system and technology, in-depth research was conducted in the state of people's nervous system feeling. The method of building open platform algorithm to optimize and modify weight rule 2BP grid ...

    Abstract In order to further understand the economic data management system and technology, in-depth research was conducted in the state of people's nervous system feeling. The method of building open platform algorithm to optimize and modify weight rule 2BP grid construction was used to study. According to the basic principle, the BP neural network which is more suitable for economic data management system was constructed. At the same time, to construct economic database resources, neural network system was mainly to simplify and abstract or simulate the human brain nervous system, which is not completely the same, but can also map the basic characteristics of many functions of the human brain. Through the analysis of the economic data of the neural network, the neural network is widely used in the economic data management, which not only improves the management level of enterprises, but also improves the benefits and profits of enterprises. Besides, it has application effect in predicting economic early warning risk analysis cost control strategy management enterprise credit evaluation and enterprise competitiveness evaluation.
    MeSH term(s) Algorithms ; Data Management ; Humans ; Neural Networks, Computer
    Language English
    Publishing date 2022-07-08
    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 10.1155/2022/9036917
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Inhibiting P2Y12 receptor relieves LPS-induced inflammation and endothelial dysfunction.

    Han, Xiuxia

    Immunity, inflammation and disease

    2022  Volume 10, Issue 10, Page(s) e697

    Abstract: Background: Acute lung injury (ALI) is characterized by abnormal inflammatory response without effective therapies. P2Y12 receptor (P2Y12R) plays a vital role in inflammatory response. This study intends to explore whether P2Y12R antagonists can inhibit ...

    Abstract Background: Acute lung injury (ALI) is characterized by abnormal inflammatory response without effective therapies. P2Y12 receptor (P2Y12R) plays a vital role in inflammatory response. This study intends to explore whether P2Y12R antagonists can inhibit LPS-induced inflammatory injury of human pulmonary microvascular endothelial cells (HPMVECs) and endothelial cell dysfunction.
    Methods: Using a cell model of ALI, the role of P2Y12R was investigated in LPS-induced HPMVECs. The expression of P2Y12R was detected by RT-qPCR and Western blot analysis assay and TNF-α, IL-1β, and IL-6 levels were analyzed by RT-qPCR. NO levels were also analyzed through NO kit. The levels of NF-κB p65, P-IκB-α, and IκB-α, as well as p-AKT and eNOS levels were detected by Western blot analysis assay. Wound healing assay was performed to evaluate HPMVECs migration. FITC-dextran was used to evaluate endothelial cell permeability, and the analysis of adherens junction protein VE-cadherin and endothelial cell tight junction proteins ZO-1, Claudin 5 and Occludin expression was performed by RT-qPCR and Western blot analysis assay.
    Results: In vitro, LPS increased the expression levels of P2Y12R and pro-inflammatory mediators (TNF-α, IL-1β, and IL-6), followed by a decrease in HPMVECs migration. In addition, LPS led to an increase in endothelial cell permeability. P2Y12R antagonists Ticagrelor or clopidogrel treatment significantly reversed these effects of LPS.
    Conclusion: The inhibitor of P2Y12R was able to decrease inflammatory response, promote migration and improve endothelial cell function and permeability, suggesting a key role of P2Y12R in ALI.
    MeSH term(s) Acute Lung Injury/chemically induced ; Acute Lung Injury/metabolism ; Claudin-5/metabolism ; Clopidogrel/adverse effects ; Clopidogrel/metabolism ; Endothelial Cells/metabolism ; Humans ; Inflammation/metabolism ; Inflammation Mediators/metabolism ; Interleukin-6/genetics ; Lipopolysaccharides/toxicity ; NF-KappaB Inhibitor alpha/metabolism ; NF-kappa B/metabolism ; Occludin/metabolism ; Proto-Oncogene Proteins c-akt ; Purinergic P2Y Receptor Antagonists/adverse effects ; Purinergic P2Y Receptor Antagonists/metabolism ; Receptors, Purinergic P2Y12 ; Ticagrelor/adverse effects ; Ticagrelor/metabolism ; Tumor Necrosis Factor-alpha/metabolism
    Chemical Substances Claudin-5 ; Inflammation Mediators ; Interleukin-6 ; Lipopolysaccharides ; NF-kappa B ; Occludin ; P2RY12 protein, human ; Purinergic P2Y Receptor Antagonists ; Receptors, Purinergic P2Y12 ; Tumor Necrosis Factor-alpha ; NF-KappaB Inhibitor alpha (139874-52-5) ; Clopidogrel (A74586SNO7) ; Proto-Oncogene Proteins c-akt (EC 2.7.11.1) ; Ticagrelor (GLH0314RVC)
    Language English
    Publishing date 2022-09-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2740382-8
    ISSN 2050-4527 ; 2050-4527
    ISSN (online) 2050-4527
    ISSN 2050-4527
    DOI 10.1002/iid3.697
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Application of Reinforcement Learning in Multiagent Intelligent Decision-Making.

    Han, Xiaoyu

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 8683616

    Abstract: The combination of deep neural networks and reinforcement learning had received more and more attention in recent years, and the attention of reinforcement learning of single agent was slowly getting transferred to multiagent. Regret minimization was a ... ...

    Abstract The combination of deep neural networks and reinforcement learning had received more and more attention in recent years, and the attention of reinforcement learning of single agent was slowly getting transferred to multiagent. Regret minimization was a new concept in the theory of gaming. In some game issues that Nash equilibrium was not the optimal solution, the regret minimization had better performance. Herein, we introduce the regret minimization into multiagent reinforcement learning and propose a multiagent regret minimum algorithm. This chapter first introduces the Nash Q-learning algorithm and uses the overall framework of Nash Q-learning to minimize regrets into the multiagent reinforcement learning and then verify the effectiveness of the algorithm in the experiment.
    MeSH term(s) Algorithms ; Humans ; Intelligence ; Neural Networks, Computer ; Non-alcoholic Fatty Liver Disease ; Reinforcement, Psychology
    Language English
    Publishing date 2022-09-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/8683616
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Subjectivity as the site of struggle: students' perspectives toward sino-foreign cooperation universities in the era of discursive conflicts.

    Han, Xiao

    Higher education

    2022  , Page(s) 1–15

    Abstract: While students' perspectives are crucial for international/transnational institutions' development, their preferences towards certain values should not be taken for granted, as the possibility of lived experience is confined by individuals' subjectivity, ...

    Abstract While students' perspectives are crucial for international/transnational institutions' development, their preferences towards certain values should not be taken for granted, as the possibility of lived experience is confined by individuals' subjectivity, which derives from power and knowledge but does not depend on them (Deleuze;
    Language English
    Publishing date 2022-03-26
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2015566-9
    ISSN 1573-174X ; 0018-1560
    ISSN (online) 1573-174X
    ISSN 0018-1560
    DOI 10.1007/s10734-022-00840-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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