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  1. Book ; Thesis: Identification and functional characterization of genes in a mouse model of FOXP1 haploinsufficiency with autistic features

    Wang, Jing

    2021  

    Author's details vorgelegt von Jing Wang
    Language English
    Size 128 Blätter, Illustrationen, Diagramme, 30 cm
    Publishing place Heidelberg
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Ruprecht-Karls-Universität Heidelberg, 2021
    HBZ-ID HT021209333
    Database Catalogue ZB MED Medicine, Health

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  2. Book ; Online: Data-Driven Fault Detection and Reasoning for Industrial Monitoring

    Wang, Jing / Zhou, Jinglin / Chen, Xiaolu

    2022  

    Keywords Robotics ; Artificial intelligence ; Multivariate causality analysis ; Process monitoring ; Manifold learning ; Fault diagnosis ; Data modeling ; Fault classification ; Fault reasoning ; Causal network ; Probabilistic graphical model ; Data-driven methods ; Industrial monitoring ; Open Access
    Size 1 electronic resource (264 pages)
    Publisher Springer Nature
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021289823
    ISBN 9789811680441 ; 9811680442
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Online: Data-Driven Fault Detection and Reasoning for Industrial Monitoring

    Wang, Jing / Zhou, Jinglin / Chen, Xiaolu

    (Intelligent Control and Learning Systems ; 3)

    2022  

    Author's details by Jing Wang, Jinglin Zhou, Xiaolu Chen
    Series title Intelligent Control and Learning Systems ; 3
    Keywords Industrial engineering ; Automation ; Computational intelligence
    Subject code 629.8
    Language English
    Size 1 Online-Ressource (XVII, 264 p. 134 illus., 115 illus. in color)
    Edition 1st ed. 2022
    Publisher Springer Singapore ; Imprint: Springer
    Publishing place Singapore
    Document type Book ; Online
    HBZ-ID HT021217243
    ISBN 978-981-16-8044-1 ; 9789811680434 ; 9789811680458 ; 9789811680465 ; 981-16-8044-2 ; 9811680434 ; 9811680450 ; 9811680469
    DOI 10.1007/978-981-16-8044-1
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Book ; Online: Augmented Reality, Virtual Reality & Semantic 3D Reconstruction

    Lv, Zhihan / Wang, Jing-Yan / Kumar, Neeraj / Lloret, Jaime

    2022  

    Keywords Technology: general issues ; History of engineering & technology ; feature tracking ; superpixel ; structure from motion ; three-dimensional reconstruction ; local feature ; multi-view stereo ; construction hazard ; safety education ; photoreality ; virtual reality ; anatomization ; audio classification ; olfactory display ; deep learning ; transfer learning ; inception model ; augmented reality ; higher education ; scientific production ; web of science ; bibliometric analysis ; scientific mapping ; applications in subject areas ; interactive learning environments ; 3P model ; primary education ; educational technology ; mobile lip reading system ; lightweight neural network ; face correction ; virtual reality (VR) ; computer vision ; projection mapping ; 3D face model ; super-resolution ; radial curve ; Dynamic Time Warping ; semantic 3D reconstruction ; eye-in-hand vision system ; robotic manipulator ; probabilistic fusion ; graph-based refinement ; 3D modelling ; 3D representation ; game engine ; laser scanning ; panoramic photography ; super-resolution reconstruction ; generative adversarial networks ; dense convolutional networks ; texture loss ; WGAN-GP ; orientation ; positioning ; viewpoint ; image matching ; algorithm ; transformation ; ADHD ; EDAH ; assessment ; continuous performance test ; Photometric Stereo (PS) ; 3D reconstruction ; fully convolutional network (FCN) ; semi-immersive virtual reality ; children ; cooperative games ; empowerment ; perception ; motor planning ; problem-solving ; area of interest ; wayfinding ; spatial information ; one-shot learning ; gesture recognition ; GREN ; skeleton-based ; 3D composition ; pre-visualization ; stereo vision ; 360° video ; n/a
    Language English
    Size 1 electronic resource (304 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030379832
    ISBN 9783036560625 ; 3036560629
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Article: Home‐based preparation approaches altered the availability of health beneficial components from carrot and blueberry

    Wang, Jing

    Food Science & Nutrition, 5(3):793-804

    2017  

    Abstract: This study investigated the effects of different home food preparation methods on availability of total phenolic contents (TPC) and radical scavenging components, as well as the selected health beneficial compounds from fresh blueberry and carrot. High ... ...

    Abstract This study investigated the effects of different home food preparation methods on availability of total phenolic contents (TPC) and radical scavenging components, as well as the selected health beneficial compounds from fresh blueberry and carrot. High performance liquid chromatography (HPLC) analysis revealed that ground carrots using blenders released significantly greater amount of β‐carotene than their chopped counterpart, and blueberry samples prepared with different commercial blenders/grinders released different levels of cyaniding‐3‐O‐glucoside and malvidin‐3‐O‐glucoside. Furthermore, microwaving was able to significantly alter the releasable amounts of cyaniding‐3‐O‐glucoside and malvidin‐3‐O‐glucoside from blueberries. In addition, carrots and blueberries processed using different blenders and chopping with or without microwaving differed in their available levels of TPC, and radical scavenging components against DPPH•, oxygen radicals and HO•, as well as their potential anti‐inflammatory activities. Taking together, these results indicated that home food preparation approaches may alter the availability of health components from carrots and blueberries. The results also suggested that the influence may depend on the fruit and vegetable type, but not the price of blenders/grinders.
    Keywords carrot ; blueberry ; high performance liquid chromatography (HPLC) ; radical scavenging ; total phenolic contents (TPC)
    Language English
    Document type Article
    Database Repository for Life Sciences

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  6. Article: Training multi-layer spiking neural networks with plastic synaptic weights and delays.

    Wang, Jing

    Frontiers in neuroscience

    2024  Volume 17, Page(s) 1253830

    Abstract: Spiking neural networks are usually considered as the third generation of neural networks, which hold the potential of ultra-low power consumption on corresponding hardware platforms and are very suitable for temporal information processing. However, how ...

    Abstract Spiking neural networks are usually considered as the third generation of neural networks, which hold the potential of ultra-low power consumption on corresponding hardware platforms and are very suitable for temporal information processing. However, how to efficiently train the spiking neural networks remains an open question, and most existing learning methods only consider the plasticity of synaptic weights. In this paper, we proposed a new supervised learning algorithm for multiple-layer spiking neural networks based on the typical SpikeProp method. In the proposed method, both the synaptic weights and delays are considered as adjustable parameters to improve both the biological plausibility and the learning performance. In addition, the proposed method inherits the advantages of SpikeProp, which can make full use of the temporal information of spikes. Various experiments are conducted to verify the performance of the proposed method, and the results demonstrate that the proposed method achieves a competitive learning performance compared with the existing related works. Finally, the differences between the proposed method and the existing mainstream multi-layer training algorithms are discussed.
    Language English
    Publishing date 2024-01-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2411902-7
    ISSN 1662-453X ; 1662-4548
    ISSN (online) 1662-453X
    ISSN 1662-4548
    DOI 10.3389/fnins.2023.1253830
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Impact of natural disasters on student enrollment in higher education programs: A systematic review.

    Wang, Jing

    Heliyon

    2024  Volume 10, Issue 6, Page(s) e27705

    Abstract: This study aims to evaluate how natural disasters affect student enrollment in higher education programs, considering both immediate and long-term consequences. The PRISMA guidelines were adhered to in conducting this review. Multiple databases, such as ... ...

    Abstract This study aims to evaluate how natural disasters affect student enrollment in higher education programs, considering both immediate and long-term consequences. The PRISMA guidelines were adhered to in conducting this review. Multiple databases, such as Web of Science and Scopus, including those with articles from January 2000 to February 2023, were thoroughly searched. Articles focusing on how natural disasters affect students' enrollment in higher education programs met the inclusion requirements. A total of 22 studies were deemed eligible for inclusion and detailed analysis. The findings suggest that natural disasters have a negative influence on higher education enrollment, with the most severe effects being felt by disadvantaged populations. This study reveals that natural disasters impact various aspects of the enrollment process, such as application, acceptance, registration, attendance, retention, and graduation, in higher education due to infrastructural and psychological impacts. Key variables linking natural disasters to enrollment changes include damage to institutional infrastructure, economic and psychological strain, resource limitations, loss of social support networks, and disruptions to academic programs. Enhancing resilience involves adopting online learning, providing financial support, flexible enrollment policies, mental health services, disaster preparedness training, resilient infrastructure development, and collaborative institutional programs. The study highlights the need for comprehensive, context-specific disaster management strategies that address both immediate and long-term educational needs. It identifies potential solutions, including online learning platforms, financial aid, flexible enrollment policies, mental health support, disaster preparedness training, infrastructure resilience, and collaborative programs with other institutions. Context-specific programs are essential to support impacted students by rebuilding educational infrastructure and providing financial and emotional support, thereby ensuring their continued access to higher education. This study offers valuable insights for disaster management, educational policy, and future research on this critical issue.
    Language English
    Publishing date 2024-03-11
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e27705
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book ; Thesis: The role of polymorphonuclear neutrophils (PMNs) and T cells in brain remodeling and neurological recovery after ischemic stroke

    Wang, Jing / Hermann, Dirk Matthias

    2021  

    Institution Universität Duisburg-Essen
    Author's details vorgelegt von Jing Wang. Gutachter: 1. Herr Univ.-Prof. Dr. med. D. M. Hermann, 2. Herr Univ.-Prof. Dr. med. E. Gulbins
    Language English
    Size 65 Blätter, Illustrationen
    Publishing place Duisburg ; Essen
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Universität Duisburg-Essen, 2022
    HBZ-ID HT021471402
    Database Catalogue ZB MED Medicine, Health

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  9. Article: Advances in Pathogenesis and Therapeutics of Hepatobiliary Diseases.

    Wang, Jing-Hua

    Biomedicines

    2023  Volume 11, Issue 4

    Abstract: The hepatobiliary system, comprising the liver, gallbladder, and bile ducts, performs a diverse array of functions that are essential to maintaining homeostasis [ ... ]. ...

    Abstract The hepatobiliary system, comprising the liver, gallbladder, and bile ducts, performs a diverse array of functions that are essential to maintaining homeostasis [...].
    Language English
    Publishing date 2023-04-10
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2720867-9
    ISSN 2227-9059
    ISSN 2227-9059
    DOI 10.3390/biomedicines11041140
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Optimization design of international talent training model based on big data system.

    Wang, Jing

    Frontiers in psychology

    2022  Volume 13, Page(s) 949611

    Abstract: With the deepening of the concept of a "global village," the exchanges between countries in the world are deepening. This has led to ever-closer ties between countries and regions. They are more and more interdependent and mutually restrictive. ... ...

    Abstract With the deepening of the concept of a "global village," the exchanges between countries in the world are deepening. This has led to ever-closer ties between countries and regions. They are more and more interdependent and mutually restrictive. Internationalization has become an inevitable trend and trend in the development of higher education in the process of globalization. Big data refer to a collection of data whose content cannot be captured, managed, and processed by conventional software tools within a certain period of time, and need to be processed to obtain the required information. Developed countries have developed earlier in the field of education internationalization and have more mature experience, which provides a reference for the development of other countries. This paper aims to study the optimization design of the international talent training model based on the big data system. In this paper, the system analysis method is used for theoretical discussion. It establishes an index system of graduate students' international talent training mode through AHP, and puts forward a breakthrough for international education in colleges and universities. Internationalized talents refer to high-level talents who have an international awareness and mind, a world-class knowledge structure, a vision and ability reaching an international level, and who are good at seizing opportunities and striving for initiative in global competition. This paper deeply studies the current situation of the international talent training model in colleges and universities, and finds out the deficiencies in the international talent training model. It also optimizes the path for the cultivation and development of international talents, which provides a basis for regional development and cultivation of international talents. The experimental results of this paper show that 20.1% of students believe that international education is to adapt to educational development, 25.4% of students believe that it is mainly to meet the needs of student development, and 62.2% of students believe that college majors lack internationalization characteristics.
    Language English
    Publishing date 2022-07-22
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2022.949611
    Database MEDical Literature Analysis and Retrieval System OnLINE

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