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  1. Article: Exploring positive teacher-student relationships: the synergy of teacher mindfulness and emotional intelligence.

    Wang, Xue

    Frontiers in psychology

    2023  Volume 14, Page(s) 1301786

    Abstract: Introduction: This study delves into the intricate synergy between teacher mindfulness and the quality of teacher-student relationships, with a specific and deliberate focus on the mediating influence of emotional intelligence. The way teachers engage ... ...

    Abstract Introduction: This study delves into the intricate synergy between teacher mindfulness and the quality of teacher-student relationships, with a specific and deliberate focus on the mediating influence of emotional intelligence. The way teachers engage with their students not only impacts the learning outcomes but also contributes significantly to the overall classroom atmosphere. Understanding the underlying mechanisms that drive these relationships is crucial for educators and policymakers alike. This research seeks to shed light on these critical dynamics.
    Methods: To investigate this multifaceted interplay, a participant pool of 369 Chinese English teachers was assembled. The research employed a comprehensive approach to data collection, utilizing self-report questionnaires completed by the instructors. Structural equation modeling, a robust statistical technique, was employed to rigorously analyze the collected data.
    Results: The data analysis unveiled a robust and direct association between teacher mindfulness and the quality of teacher-student relationships. Beyond this primary link, a noteworthy revelation emerged: emotional intelligence, as measured through our analysis, was identified as a pivotal mediating factor in this relationship. This finding highlights the intricate web of emotions, awareness, and interpersonal interactions that underpin effective teaching and positive teacher-student relationships.
    Discussion: These significant findings underscore the critical roles of teacher mindfulness and emotional intelligence in shaping the educational landscape. The implications of this study reach far beyond academia, extending to the development of tailored educational interventions and support strategies.
    Language English
    Publishing date 2023-11-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2023.1301786
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Organic Molecules Mimic Alkali Metals Enabling Spontaneous Harpoon Reactions with Halogens.

    Cao, Wenjin / Wang, Xue-Bin

    Chemistry (Weinheim an der Bergstrasse, Germany)

    2024  Volume 30, Issue 20, Page(s) e202400038

    Abstract: The harpoon mechanism has been a milestone in molecular reaction dynamics. Until now, the entity from which electron harpooning occurs has been either alkali metal atoms or non-metallic analogs in their excited states. In this work, we demonstrate that a ...

    Abstract The harpoon mechanism has been a milestone in molecular reaction dynamics. Until now, the entity from which electron harpooning occurs has been either alkali metal atoms or non-metallic analogs in their excited states. In this work, we demonstrate that a common organic molecule, octamethylcalix[4] pyrrole (omC4P), behaves just like alkali metal atoms, enabling the formation of charge-separated ionic bonding complexes with halogens omC4P
    Language English
    Publishing date 2024-02-16
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1478547-X
    ISSN 1521-3765 ; 0947-6539
    ISSN (online) 1521-3765
    ISSN 0947-6539
    DOI 10.1002/chem.202400038
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  3. Article ; Online: Metal (Ni, Pd, and Pt)-Doped BS Monolayers as a Gas Sensor upon Vented Gases in Lithium-Ion Batteries: A First-Principles Study.

    Li, Ming / Wang, Xue-Feng

    Langmuir : the ACS journal of surfaces and colloids

    2024  Volume 40, Issue 6, Page(s) 2969–2978

    Abstract: Real-time monitoring of the vented gases emitted by the thermal runaway of lithium-ion batteries (LIBs) is of great significance to the normal use of LIBs. We study systematically the adsorption and sensing performances of pristine and metal-doped BS ... ...

    Abstract Real-time monitoring of the vented gases emitted by the thermal runaway of lithium-ion batteries (LIBs) is of great significance to the normal use of LIBs. We study systematically the adsorption and sensing performances of pristine and metal-doped BS monolayers to five typical gases (CO, CO
    Language English
    Publishing date 2024-02-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2005937-1
    ISSN 1520-5827 ; 0743-7463
    ISSN (online) 1520-5827
    ISSN 0743-7463
    DOI 10.1021/acs.langmuir.3c03088
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  4. Article ; Online: Protein Interaction Prediction Method Based on Feature Engineering and XGBoost

    Zhao Xiaoman / Wang Xue

    BIO Web of Conferences, Vol 61, p

    2023  Volume 01021

    Abstract: Human protein interaction prediction studies occupy an important place in systems biology. The understanding of human protein interaction networks and interactome will provide important insights into the regulation of developmental, physiological and ... ...

    Abstract Human protein interaction prediction studies occupy an important place in systems biology. The understanding of human protein interaction networks and interactome will provide important insights into the regulation of developmental, physiological and pathological processes. In this study, we propose a method based on feature engineering and integrated learning algorithms to construct protein interaction prediction models. Principal Component Analysis (PCA) and Locally Linear Embedding (LLE) dimensionality reduction methods were used to extract sequence features from the 174-dimensional human protein sequence vector after Normalized Difference Sequence Feature (NDSF) encoding, respectively. The classification performance of three integrated learning methods (AdaBoost, Extratrees, XGBoost) applied to PCA and LLE features was compared, and the best combination of parameters was found using cross-validation and grid search methods. The results show that the classification accuracy is significantly higher when using the linear dimensionality reduction method PCA than the nonlinear dimensionality reduction method LLE. the classification with XGBoost achieves a model accuracy of 99.2%, which is the best performance among all models. This study suggests that NDSF combined with PCA and XGBoost may be an effective strategy for classifying different human protein interactions.
    Keywords Microbiology ; QR1-502 ; Physiology ; QP1-981 ; Zoology ; QL1-991
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Analysis of Common Types and Construction Elements of Diabetic Mouse Models

    WANG Xue / HU Yonghe

    Shiyan dongwu yu bijiao yixue, Vol 43, Iss 4, Pp 415-

    2023  Volume 421

    Abstract: Diabetes mellitus is a disease characterized by absolute or relative lack of insulin, which leads to hyperglycemia, and its high mobidity and complications have a great impact on the lives of patients. Animal models are widely used to study the ... ...

    Abstract Diabetes mellitus is a disease characterized by absolute or relative lack of insulin, which leads to hyperglycemia, and its high mobidity and complications have a great impact on the lives of patients. Animal models are widely used to study the pathogenesis and treatment of diabetes and its complications. Different types of diabetes, with different pathogenesis and pathognomonic features, have different treatment options. In animal experimental, in addition to considering the genetic factors and physiological characteristics of the animal (such as sex and age), it is also necessary to consider the experimental protocol and various response options, which have a great impact on the experimental data, the reproducibility and stability of the experimental results. Therefore, it is necessary to select suitable animal models for experiments in the study of diabetes. Type 1 diabetes is characterized by absolute insulin deficiency, and existing mouse models of type 1 diabetes include chemically (STZ-induced) induced and spontaneous diabetes model (NOD mice), etc. Type 2 diabetes, characterized by insulin resistance and impaired glucose tolerance, is established in both obese and non-obese animal models, including diet-induced (high-fat diet induced), spontaneous diabetes (including monogenic and polygenic obese mice) models, and genetically modified mouse models. In this review, we discussed the common types of diabetic mouse models and analyzed the elements of their construction, the key factors that should be considered in the selection of diabetic mouse models, and explore the impact of these factors on the research of diabetes.
    Keywords diabetes mellitus ; animal model ; modeling factors ; mouse ; Medicine ; R
    Subject code 571
    Language Chinese
    Publishing date 2023-08-01T00:00:00Z
    Publisher Editorial Office of Laboratory Animal and Comparative Medicine
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Book ; Online ; Thesis: Loss of FAT4 induces aneuploidy in urothelial cells and promotes the invasive and migratory capacities of bladder cancer cell lines

    Wang, Xue [Verfasser]

    2023  

    Author's details Xue Wang
    Keywords Medizin, Gesundheit ; Medicine, Health
    Subject code sg610
    Language English
    Publisher Universität Ulm
    Publishing place Ulm
    Document type Book ; Online ; Thesis
    Database Digital theses on the web

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  7. Article: Skin Manifestation of Human Monkeypox.

    Wang, Xue / Lun, Wenhui

    Journal of clinical medicine

    2023  Volume 12, Issue 3

    Abstract: Monkeypox is a zoonotic infectious disease caused by the monkeypox virus (MPXV) infection, which is mainly manifested as characteristic rashes. It spreads mainly through direct skin-to-skin contact. In some cases, respiratory transmission occurs through ... ...

    Abstract Monkeypox is a zoonotic infectious disease caused by the monkeypox virus (MPXV) infection, which is mainly manifested as characteristic rashes. It spreads mainly through direct skin-to-skin contact. In some cases, respiratory transmission occurs through contact with respiratory droplets when in close contact with an infected person for a long time. The monkeypox outbreak in 2022 frequently occurred in the MSM (men who have sex with men) population, raising concerns about whether monkeypox could be transmitted through sexual behavior. This article mainly reviews the research progress of skin manifestations of monkeypox, including typical and atypical rashes of monkeypox, and different skin manifestations in some special groups, such as children, pregnant women and individuals co-infected with HIV (human immunodeficiency virus) and MPXV. At present, dermatologists are not very familiar with the diagnosis and treatment of monkeypox, it is therefore necessary to review the skin manifestations of monkeypox, which can help clinicians diagnose the sporadic cases and monitor the occurrence of monkeypox early, particularly in people at higher risk of infection. Early clinical diagnosis and treatment can largely avoid serious complications and death from monkeypox.
    Language English
    Publishing date 2023-01-24
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm12030914
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  8. Article: Electronic and Spintronic Properties of Armchair MoSi

    Su, Xiao-Qian / Wang, Xue-Feng

    Nanomaterials (Basel, Switzerland)

    2023  Volume 13, Issue 4

    Abstract: Structural and physical properties of armchair ... ...

    Abstract Structural and physical properties of armchair MoSi
    Language English
    Publishing date 2023-02-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662255-5
    ISSN 2079-4991
    ISSN 2079-4991
    DOI 10.3390/nano13040676
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  9. Article: Diet-gut microbial interactions influence cancer immunotherapy.

    Wang, Xue / Geng, Shitao

    Frontiers in oncology

    2023  Volume 13, Page(s) 1138362

    Abstract: The gut microbiome is involved in the absorption and metabolism of host nutrients and modulates the immune response, affecting the efficacy of immunotherapy for cancer. In patients receiving immunotherapy, appropriate modifications of gut microbiota are ... ...

    Abstract The gut microbiome is involved in the absorption and metabolism of host nutrients and modulates the immune response, affecting the efficacy of immunotherapy for cancer. In patients receiving immunotherapy, appropriate modifications of gut microbiota are thought to improve therapeutic response. Of all the factors that influence the gut microbiota, diet is the most influential and modifiable. Healthy dietary patterns as well as some specific dietary components can help the growth of beneficial microbiota in the gut, thereby protecting against cancers and promoting human health. A growing number of researches have confirmed the positive effects of a diet-gut microbiota approach as an adjuvant therapy for cancer, but controversy remains. Here, we summarize the interactions between diet and gut microbes based on previous studies, and discuss the role of gut microbiota-based dietary strategies in tumor immunotherapy, with the potential mechanisms of actions also intensively discussed.
    Language English
    Publishing date 2023-03-24
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2023.1138362
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  10. Article ; Online: Enhancing industrial environmental performance: interplay among environmental sustainability, green HRM, and green competitive advantage.

    He, Ran / Wang, Xue

    Environmental science and pollution research international

    2023  Volume 30, Issue 46, Page(s) 103073–103086

    Abstract: This study highlights the importance of green human resource management (HRM) practices, which investigates the connection between environmental sustainability and green competitive advantage. Using the CGM model and the generalized method of moments ( ... ...

    Abstract This study highlights the importance of green human resource management (HRM) practices, which investigates the connection between environmental sustainability and green competitive advantage. Using the CGM model and the generalized method of moments (GMM), this research investigates how green HRM may foster environmental sustainability by creating a competitive advantage for businesses. Research shows that green HRM may achieve green competitive advantage practices, crucial for environmental sustainability. By "green HRM practices," we mean incorporating environmental concerns into traditional HRM processes, including hiring, training, evaluating, and compensating employees. However, the importance of green HRM practices cannot be overstated due to their efficiency in creating a competitive advantage and advancing environmental sustainability. Specifically, the research shows that businesses that have adopted "green HRM practices" outperform their competitors in terms of environmental sustainability. The last section emphasizes the importance of green HRM as a key facilitator of environmental sustainability. Implications for businesses that want to improve their environmental performance are also provided.
    Language English
    Publishing date 2023-09-08
    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/s11356-023-29513-6
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