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  1. Book ; Online ; E-Book: Mulching in agroecosystems

    Akhtar, Kashif / Arif, Muhammad / Riaz, Muhammad / Wang, Haiyan

    plants, soil & environment

    2022  

    Author's details Kashif Akhtar, Muhammad Arif, Muhammad Riaz, Haiyan Wang, editors
    Keywords Soil science ; Agricultural ecology ; Sustainability ; Agricultural biotechnology
    Subject code 631.4
    Language English
    Size 1 Online-Ressource (vii, 404 Seiten), Illustrationen
    Publisher Springer Nature Singapore ; Imprint: Springer
    Publishing place Singapore
    Publishing country Singapore
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT021712993
    ISBN 978-981-19-6410-7 ; 9789811964091 ; 9789811964114 ; 9789811964121 ; 981-19-6410-6 ; 9811964092 ; 9811964114 ; 9811964122
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article: Multimodal audio-visual robot fusing 3D CNN and CRNN for player behavior recognition and prediction in basketball matches.

    Wang, Haiyan

    Frontiers in neurorobotics

    2024  Volume 18, Page(s) 1284175

    Abstract: Introduction: Intelligent robots play a crucial role in enhancing efficiency, reducing costs, and improving safety in the logistics industry. However, traditional path planning methods often struggle to adapt to dynamic environments, leading to issues ... ...

    Abstract Introduction: Intelligent robots play a crucial role in enhancing efficiency, reducing costs, and improving safety in the logistics industry. However, traditional path planning methods often struggle to adapt to dynamic environments, leading to issues such as collisions and conflicts. This study aims to address the challenges of path planning and control for logistics robots in complex environments.
    Methods: The proposed method integrates information from different perception modalities to achieve more accurate path planning and obstacle avoidance control, thereby enhancing the autonomy and reliability of logistics robots. Firstly, a 3D convolutional neural network (CNN) is employed to learn the feature representation of objects in the environment for object recognition. Next, long short-term memory (LSTM) is used to model spatio-temporal features and predict the behavior and trajectory of dynamic obstacles. This enables the robot to accurately predict the future position of obstacles in complex environments, reducing collision risks. Finally, the Dijkstra algorithm is applied for path planning and control decisions to ensure the robot selects the optimal path in various scenarios.
    Results: Experimental results demonstrate the effectiveness of the proposed method in terms of path planning accuracy and obstacle avoidance performance. The method outperforms traditional approaches, showing significant improvements in both aspects.
    Discussion: The intelligent path planning and control scheme presented in this paper enhances the practicality of logistics robots in complex environments, thereby promoting efficiency and safety in the logistics industry.
    Language English
    Publishing date 2024-03-06
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2453002-5
    ISSN 1662-5218
    ISSN 1662-5218
    DOI 10.3389/fnbot.2024.1284175
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Study of the influence of psychological mood on the performance and mental health of athletes in VR-aided basketball training.

    Wang, Haiyan

    Frontiers in psychology

    2024  Volume 15, Page(s) 1334111

    Abstract: The purpose of this ... ...

    Abstract The purpose of this study
    Language English
    Publishing date 2024-04-23
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2024.1334111
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book ; Online: A novel feature selection method based on quantum support vector machine

    Wang, Haiyan

    2023  

    Abstract: Feature selection is critical in machine learning to reduce dimensionality and improve model accuracy and efficiency. The exponential growth in feature space dimensionality for modern datasets directly results in ambiguous samples and redundant features, ...

    Abstract Feature selection is critical in machine learning to reduce dimensionality and improve model accuracy and efficiency. The exponential growth in feature space dimensionality for modern datasets directly results in ambiguous samples and redundant features, which can severely degrade classification accuracy. Quantum machine learning offers potential advantages for addressing this challenge. In this paper, we propose a novel method, quantum support vector machine feature selection (QSVMF), integrating quantum support vector machines with multi-objective genetic algorithm. QSVMF optimizes multiple simultaneous objectives: maximizing classification accuracy, minimizing selected features and quantum circuit costs, and reducing feature covariance. We apply QSVMF for feature selection on a breast cancer dataset, comparing the performance of QSVMF against classical approaches with the selected features. Experimental results show that QSVMF achieves superior performance. Furthermore, The Pareto front solutions of QSVMF enable analysis of accuracy versus feature set size trade-offs, identifying extremely sparse yet accurate feature subsets. We contextualize the biological relevance of the selected features in terms of known breast cancer biomarkers. This work highlights the potential of quantum-based feature selection to enhance machine learning efficiency and performance on complex real-world data.
    Keywords Quantum Physics ; Computer Science - Machine Learning
    Subject code 004
    Publishing date 2023-11-29
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Age-Associated KLF9 Enhances the Inflammatory Response of Alveolar Macrophages Via Regulating TLR2 Expression.

    Shen, Chun / Wang, Haiyan

    Rejuvenation research

    2024  Volume 27, Issue 1, Page(s) 17–23

    Abstract: Staphylococcus ... ...

    Abstract Staphylococcus aureus
    MeSH term(s) Humans ; Animals ; Mice ; Child, Preschool ; Aged ; Macrophages, Alveolar/metabolism ; Toll-Like Receptor 2/metabolism ; Staphylococcus aureus/metabolism ; Leukocytes, Mononuclear/metabolism ; Cytokines/metabolism ; Inflammation ; Pneumonia ; Mice, Inbred C57BL ; Kruppel-Like Transcription Factors
    Chemical Substances Toll-Like Receptor 2 ; Cytokines ; TLR2 protein, human ; KLF9 protein, human ; Kruppel-Like Transcription Factors
    Language English
    Publishing date 2024-01-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2150779-X
    ISSN 1557-8577 ; 1549-1684
    ISSN (online) 1557-8577
    ISSN 1549-1684
    DOI 10.1089/rej.2023.0052
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5215: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (2.OG)
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  6. Article ; Online: Sequential Point Clouds: A Survey.

    Wang, Haiyan / Tian, Yingli

    IEEE transactions on pattern analysis and machine intelligence

    2024  Volume PP

    Abstract: Point clouds have garnered increasing research attention and found numerous practical applications. However, many of these applications, such as autonomous driving and robotic manipulation, rely on sequential point clouds, essentially adding a temporal ... ...

    Abstract Point clouds have garnered increasing research attention and found numerous practical applications. However, many of these applications, such as autonomous driving and robotic manipulation, rely on sequential point clouds, essentially adding a temporal dimension to the data (i.e., four dimensions) because the information of the static point cloud data could provide is still limited. Recent research efforts have been directed towards enhancing the understanding and utilization of sequential point clouds. This paper offers a comprehensive review of deep learning methods applied to sequential point cloud research, encompassing dynamic flow estimation, object detection & tracking, point cloud segmentation, and point cloud forecasting. This paper further summarizes and compares the quantitative results of the reviewed methods over the public benchmark datasets. Ultimately, the paper concludes by addressing the challenges in current sequential point cloud research and pointing towards promising avenues for future research.
    Language English
    Publishing date 2024-02-14
    Publishing country United States
    Document type Journal Article
    ISSN 1939-3539
    ISSN (online) 1939-3539
    DOI 10.1109/TPAMI.2024.3365970
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: African Union ban on donkey skins to be welcomed.

    Wang, Haiyan / Wang, Yanbing

    The Veterinary record

    2024  Volume 194, Issue 6, Page(s) 235

    MeSH term(s) Animals ; Equidae ; African Union ; Genetic Variation ; Skin
    Language English
    Publishing date 2024-03-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 390015-0
    ISSN 2042-7670 ; 0042-4900
    ISSN (online) 2042-7670
    ISSN 0042-4900
    DOI 10.1002/vetr.4076
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 645: Show issues Location:
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  8. Article ; Online: Advances in electrochemiluminescence co-reaction accelerator and its analytical applications.

    Wang, Haiyan

    Analytical and bioanalytical chemistry

    2021  Volume 413, Issue 16, Page(s) 4119–4135

    Abstract: Electrochemiluminescence (ECL) can be produced through two main routes: annihilation route and coreactant route. The vast majority of applications of ECL are based on coreactant ECL which can be generated in aqueous media at relatively low potentials ... ...

    Abstract Electrochemiluminescence (ECL) can be produced through two main routes: annihilation route and coreactant route. The vast majority of applications of ECL are based on coreactant ECL which can be generated in aqueous media at relatively low potentials compared with organic solvents. However, the development of more efficient ECL systems remains a compelling goal. Co-reaction accelerator (CRA) can significantly enhance the ECL signal through promoting more production of the coreactant intermediate. Compared with other ECL enhancement strategies, the CRA protocol is distinctive owing to its diverse, simple, and highly effective features. Various species such as inorganic compound, organic compound, and nanomaterials (NMs) have been developed as CRA and NM CRA has gained particular attention owing to their unique properties of excellent catalytic behavior and large surface area. By integration with the inherent advantages of ECL, bioanalysis based on CRA-enhanced ECL showed excellent performance such as ultrahigh sensitivity, wide dynamic range, low cost, simple instrumentation, and measurements in complex media. It has been extensively applied in various fields including clinical diagnosis, environmental monitoring, and food safety. Therefore, it is of great interest to present a systematic and critical review on the advances in ECL CRA. Herein, the recent progress on CRA and its applications in ECL bioanalysis are summarized by illustrating some representative work and a discussion of the future development trends of CRA ECL is offered.
    MeSH term(s) Animals ; Biosensing Techniques/instrumentation ; Biosensing Techniques/methods ; Electrochemical Techniques/instrumentation ; Electrochemical Techniques/methods ; Humans ; Luminescent Measurements/instrumentation ; Luminescent Measurements/methods ; Metals, Heavy/analysis ; MicroRNAs/analysis ; Nanostructures/chemistry ; Proteins/analysis
    Chemical Substances Metals, Heavy ; MicroRNAs ; Proteins
    Language English
    Publishing date 2021-03-14
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 201093-8
    ISSN 1618-2650 ; 0016-1152 ; 0372-7920
    ISSN (online) 1618-2650
    ISSN 0016-1152 ; 0372-7920
    DOI 10.1007/s00216-021-03247-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

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  9. Article ; Online: Immunomodulatory plasticity of mesenchymal stem cells and the strategy of clinical application

    WANG Haiyan, HAN Qin, ZHAO Chunhua

    Jichu yixue yu linchuang, Vol 43, Iss 1, Pp 2-

    2023  Volume 11

    Abstract: Mesenchymal stem cells (MSCs) are pluripotent stem cells with self-renewal, multi-directional differentiation and immunoregulatory capabilities. More and more studies have demonstrated the beneficial role of MSCs in the treatment of immune disorders. ... ...

    Abstract Mesenchymal stem cells (MSCs) are pluripotent stem cells with self-renewal, multi-directional differentiation and immunoregulatory capabilities. More and more studies have demonstrated the beneficial role of MSCs in the treatment of immune disorders. However, there is heterogeneity in the immunoregulatory capacity of MSCs obtained in vivo or cultured in vitro, and the immunoregulatory capacity of MSCs is also regulated by the microenvironment. This review provides an overview of the mechanisms of the immunosuppressive and immune supportive abilities of MSCs, introduces recent studies on the immunoregulatory mechanisms of MSCs and the plasticity hypothesis of their immunoregulatory abilities, and discusses strategies to enhance the immunoregulatory abilities of MSCs in the cell production stage. This review aims to provide a reference for the clinical translational research of MSCs.
    Keywords mesenchymal stem cells (mscs)|immunoregulation|immunomodulation plasticity ; Medicine ; R
    Language Chinese
    Publishing date 2023-01-01T00:00:00Z
    Publisher Institute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: N-acetyl-L-cysteine relieves myocardial injury in type 2 diabetic rats via inhibiting oxidative stress.

    Wang, Haiyan

    Minerva medica

    2019  Volume 111, Issue 3, Page(s) 289–291

    MeSH term(s) Acetylcysteine/pharmacology ; Animals ; Antioxidants/pharmacology ; Body Weight ; Diabetes Mellitus, Experimental/chemically induced ; Diabetes Mellitus, Experimental/complications ; Diabetes Mellitus, Experimental/metabolism ; Diabetes Mellitus, Type 2/complications ; Diabetes Mellitus, Type 2/metabolism ; Diabetic Cardiomyopathies/drug therapy ; Diabetic Cardiomyopathies/etiology ; Diabetic Cardiomyopathies/metabolism ; Humans ; Oxidative Stress/drug effects ; Random Allocation ; Rats ; Rats, Inbred Strains
    Chemical Substances Antioxidants ; Acetylcysteine (WYQ7N0BPYC)
    Language English
    Publishing date 2019-07-09
    Publishing country Italy
    Document type Letter
    ZDB-ID 123586-2
    ISSN 1827-1669 ; 0026-4806
    ISSN (online) 1827-1669
    ISSN 0026-4806
    DOI 10.23736/S0026-4806.19.06191-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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