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  1. Book ; Online: Analyze Drivers' Intervention Behavior During Autonomous Driving -- A VR-incorporated Approach

    Xu, Zheng

    2023  

    Abstract: Given the rapid advance in ITS technologies, future mobility is pointing to vehicular autonomy. However, there is still a long way before full automation, and human intervention is required. This work sheds light on understanding human drivers' ... ...

    Abstract Given the rapid advance in ITS technologies, future mobility is pointing to vehicular autonomy. However, there is still a long way before full automation, and human intervention is required. This work sheds light on understanding human drivers' intervention behavior involved in the operation of autonomous vehicles (AVs) and utilizes this knowledge to improve the perception of critical driving scenarios. Experiment environments were implemented where the virtual reality (VR) and traffic micro-simulation are integrated, and tests were carried out under typical and diverse traffic scenes. Performance indicators such as the probability of intervention, accident rates are defined and used to quantify and compare the risk levels. By offering novel insights into drivers' intervention behavior, this work will help improve the performances of the automated control under similar scenarios. Furthermore, such an integrated and immersive tool for autonomous driving studies will be valuable for research on human-to-automation trust. To the best knowledge of the authors, this work is among the pioneer works making efforts into such types of tools.
    Keywords Computer Science - Human-Computer Interaction ; Computer Science - Artificial Intelligence
    Subject code 380 ; 629
    Publishing date 2023-12-04
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Clinical observation of low dose minocycline hydrochloride sustainedrelease agent combined with Vitapex in the treatment of invasive periodontitis

    Xu Zheng

    Journal of Hainan Medical University, Vol 26, Iss 1, Pp 62-

    2020  Volume 62

    Abstract: Objective: To study the efficacy of minocycline hydrochloride sustained-release agent combined with Vitapex in the treatment of invasive periodontitis. Method 80 patients with erosive periodontitis were randomly divided into two groups. Control group ( ... ...

    Abstract Objective: To study the efficacy of minocycline hydrochloride sustained-release agent combined with Vitapex in the treatment of invasive periodontitis. Method 80 patients with erosive periodontitis were randomly divided into two groups. Control group (root canal therapy group) and experimental group (minocycline hydrochloride sustained-release agent combined with Vitapex treatment group) were used to compare the clinical efficacy of TNF-α,IL-17, CRP before and after treatment. Results The two groups of patients before and after treatment TNF-α IL-17 CRP levels of the statistical difference. The content of IGG1a IGG2a and the content of PDGIG2a were significantly different(P < 0.05), and the content of TNF-α, IL-17, IGg2a showed a significant downward trend. The content of IGg1 in the experimental group was significantly higher than that in the control group(P < 0.05). The content of TNF-α, IL- 17, IGg2a in the experimental group was significantly lower than that in the control group(P< 0.05), and the content of IGGIBI in the experimental group was significantly higher than that in the control group(P< 0.05), and the content of IGGIBI in the experimental group was significantly lower than that in the control group(P < 0.05). The clinical effect of the experimental group was significantly better than that of the control group. The effective rate was significantly higher than that of the control group(P < 0.05). Conclusion Low dose minocycline hydrochloride combined with Vitapex is more effective than root canal therapy in the treatment of invasive periodontitis.
    Keywords low dose ; minocycline hydrochloride ; relievers ; vitapex ; invasive periodontitis ; Medicine ; R
    Subject code 630
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Editorial Board of Journal of Hainan Medical University
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: LACC1 regulates changes in the intestinal flora in a mouse model of inflammatory bowel disease.

    Xu, Zheng-Yuan / Wang, Jin-Chun

    BMC gastroenterology

    2023  Volume 23, Issue 1, Page(s) 358

    Abstract: Background: The aim of this study was to explore the mechanism whereby LACC1 regulates the intestinal flora in a mouse model of inflammatory bowel disease (IBD).: Methods: C57BL/6 and Lacc1: Results: Compared with the wild-type (WT) DSS model ... ...

    Abstract Background: The aim of this study was to explore the mechanism whereby LACC1 regulates the intestinal flora in a mouse model of inflammatory bowel disease (IBD).
    Methods: C57BL/6 and Lacc1
    Results: Compared with the wild-type (WT) DSS model group, the Lacc1
    Conclusions: Lacc1 deletion aggravates DSS-induced IBD in mice.
    MeSH term(s) Animals ; Mice ; Colitis/chemically induced ; Colon ; Dextran Sulfate/adverse effects ; Disease Models, Animal ; Gastrointestinal Microbiome ; Inflammatory Bowel Diseases/chemically induced ; Mice, Inbred C57BL ; Tumor Necrosis Factor-alpha
    Chemical Substances Dextran Sulfate (9042-14-2) ; Tumor Necrosis Factor-alpha ; Lacc1 protein, mouse
    Language English
    Publishing date 2023-10-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041351-8
    ISSN 1471-230X ; 1471-230X
    ISSN (online) 1471-230X
    ISSN 1471-230X
    DOI 10.1186/s12876-023-02971-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Development of a Helmet-Shape Dual-Channel RF coil for brain imaging at 54 mT using inverse boundary element method.

    Meng, Fanqin / Guo, Yi / Wei, He / Xu, Zheng

    Journal of magnetic resonance (San Diego, Calif. : 1997)

    2024  Volume 360, Page(s) 107636

    Abstract: Very-low field (VLF) magnetic resonance imaging (MRI) offers advantages in term of size, weight, cost, and the absence of robust shielding requirements. However, it encounters challenges in maintaining a high signal-to-noise ratio (SNR) due to low ... ...

    Abstract Very-low field (VLF) magnetic resonance imaging (MRI) offers advantages in term of size, weight, cost, and the absence of robust shielding requirements. However, it encounters challenges in maintaining a high signal-to-noise ratio (SNR) due to low magnetic fields (below 100 mT). Developing a close-fitting radio frequency (RF) receive coil is crucial to improve the SNR. In this study, we devised and optimized a helmet-shaped dual-channel RF receive coil tailored for brain imaging at a magnetic field strength of 54 mT (2.32 MHz). The methodology integrates the inverse boundary element method (IBEM) to formulate initial coil structures and wiring patterns, followed by optimization through introducing regularization terms. This approach frames the design process as an inverse problem, ensuring a close fit to the head contour. Combining theoretical optimization with physical measurements of the coil's AC resistance, we identified the optimal loop count for both axial and radial coils as nine and eight loops, respectively. The effectiveness of the designed dual-channel coil was verified through the imaging of a CuSO4 phantom and a healthy volunteer's brain. Notably, the in-vivo images exhibited an approximate 16-25 % increase in SNR with poorer B
    MeSH term(s) Humans ; Head Protective Devices ; Brain/diagnostic imaging ; Magnetic Resonance Imaging/methods ; Head/diagnostic imaging ; Signal-To-Noise Ratio ; Phantoms, Imaging ; Equipment Design ; Radio Waves ; Neuroimaging
    Language English
    Publishing date 2024-02-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1469665-4
    ISSN 1096-0856 ; 1557-8968 ; 1090-7807 ; 0022-2364
    ISSN (online) 1096-0856 ; 1557-8968
    ISSN 1090-7807 ; 0022-2364
    DOI 10.1016/j.jmr.2024.107636
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A commentary on the article entitled 'finding the minimum number of retrieved lymph nodes in Node-negative colorectal Cancer using Real-world data and the SEER database'.

    Zhang, Yueyang / Xu, Zheng / Zhou, Haitao

    International journal of surgery (London, England)

    2024  

    Language English
    Publishing date 2024-03-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2212038-5
    ISSN 1743-9159 ; 1743-9191
    ISSN (online) 1743-9159
    ISSN 1743-9191
    DOI 10.1097/JS9.0000000000001409
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Elucidating the molecular pharmacology of trace amine-associated receptor 1 to advance antipsychotic drug discovery.

    Yu, Jingjing / Xu, Zheng / Yan, Wei / Shao, Zhenhua

    Clinical and translational medicine

    2024  Volume 14, Issue 2, Page(s) e1576

    MeSH term(s) Antipsychotic Agents/pharmacology ; Receptors, G-Protein-Coupled/genetics
    Chemical Substances Trace amine-associated receptor 1 (XMC8VP6RI2) ; Antipsychotic Agents ; Receptors, G-Protein-Coupled
    Language English
    Publishing date 2024-02-06
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2697013-2
    ISSN 2001-1326 ; 2001-1326
    ISSN (online) 2001-1326
    ISSN 2001-1326
    DOI 10.1002/ctm2.1576
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Water-Fat Separation for the Knee on a 50 mT Portable MRI Scanner.

    Wan, Cai / He, Wei / Xu, Zheng

    IEEE transactions on bio-medical engineering

    2024  Volume 71, Issue 5, Page(s) 1687–1696

    Abstract: Objective: The Dixon method is frequently employed in clinical and scientific research for fat suppression, because it has lower sensitivity to static magnetic field inhomogeneity compared to chemical shift selective saturation or its variants and ... ...

    Abstract Objective: The Dixon method is frequently employed in clinical and scientific research for fat suppression, because it has lower sensitivity to static magnetic field inhomogeneity compared to chemical shift selective saturation or its variants and maintains image signal-to-noise ratio (SNR). Recently, research on very-low-field (VLF < 100 mT) magnetic resonance imaging (MRI) has regained popularity. However, there is limited literature on water-fat separation in VLF MRI. Here, we present a modified two-point Dixon method specifically designed for VLF MRI.
    Methods: Most experiments were performed on a homemade 50 mT portable MRI scanner. The receiving coil adopted a homemade quadrature receiving coil. The data were acquired using spin-echo and gradient-echo sequences. We considered the T
    Results: For phantom evaluation, water-only and fat-only images were obtained and the local fat signal fractions were calculated, with two samples being 0.94 and 0.93, respectively. For knee imaging, cartilage, muscle and fat could be clearly distinguished. The water-only images were able to highlight areas such as cartilage that could not be easily distinguished without separation.
    Conclusion: This work has demonstrated the feasibility of using a 50 mT MRI scanner for water-fat separation.
    Significance: To the best of our knowledge, this is the first reported result of water-fat separation at a 50 mT portable MRI scanner.
    MeSH term(s) Magnetic Resonance Imaging/methods ; Magnetic Resonance Imaging/instrumentation ; Humans ; Adipose Tissue/diagnostic imaging ; Phantoms, Imaging ; Body Water/diagnostic imaging ; Knee/diagnostic imaging ; Knee Joint/diagnostic imaging ; Image Processing, Computer-Assisted/methods ; Equipment Design
    Language English
    Publishing date 2024-04-22
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 160429-6
    ISSN 1558-2531 ; 0018-9294
    ISSN (online) 1558-2531
    ISSN 0018-9294
    DOI 10.1109/TBME.2023.3347441
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Knowledge-based recommendation with contrastive learning

    Yang He / Xu Zheng / Rui Xu / Ling Tian

    High-Confidence Computing, Vol 3, Iss 4, Pp 100151- (2023)

    2023  

    Abstract: Knowledge Graphs (KGs) have been incorporated as external information into recommendation systems to ensure the high-confidence system. Recently, Contrastive Learning (CL) framework has been widely used in knowledge-based recommendation, owing to the ... ...

    Abstract Knowledge Graphs (KGs) have been incorporated as external information into recommendation systems to ensure the high-confidence system. Recently, Contrastive Learning (CL) framework has been widely used in knowledge-based recommendation, owing to the ability to mitigate data sparsity and it considers the expandable computing of the system. However, existing CL-based methods still have the following shortcomings in dealing with the introduced knowledge: (1) For the knowledge view generation, they only perform simple data augmentation operations on KGs, resulting in the introduction of noise and irrelevant information, and the loss of essential information. (2) For the knowledge view encoder, they simply add the edge information into some GNN models, without considering the relations between edges and entities. Therefore, this paper proposes a Knowledge-based Recommendation with Contrastive Learning (KRCL) framework, which generates dual views from user–item interaction graph and KG. Specifically, through data enhancement technology, KRCL introduces historical interaction information, background knowledge and item–item semantic information. Then, a novel relation-aware GNN model is proposed to encode the knowledge view. Finally, through the designed contrastive loss, the representations of the same item in different views are closer to each other. Compared with various recommendation methods on benchmark datasets, KRCL has shown significant improvement in different scenarios.
    Keywords Knowledge graph ; Recommendation systems ; Contrastive learning ; Graph neural network ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 006
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Numerical simulation of the coalescence of two bubbles in an ultrasound field.

    Xu, Zheng

    Ultrasonics sonochemistry

    2018  Volume 49, Page(s) 277–282

    Abstract: The coalescence of two bubbles under ultrasound irradiation is numerically investigated. The results indicate that ultrasound may accelerate the coalescence process, depending on the initial phase. The time-averaged nonzero Bjerknes force promotes bubble ...

    Abstract The coalescence of two bubbles under ultrasound irradiation is numerically investigated. The results indicate that ultrasound may accelerate the coalescence process, depending on the initial phase. The time-averaged nonzero Bjerknes force promotes bubble coalescence by dragging bubbles to nodes or antinodes, depending on their size. At the beginning of the coalescence process, a film forms between the two bubbles. The film drainage time first increases then decreases as a function of initial distance. This study contributes to an understanding of the effects of ultrasound on bubble coalescence.
    Language English
    Publishing date 2018-08-12
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1208333-1
    ISSN 1873-2828 ; 1350-4177
    ISSN (online) 1873-2828
    ISSN 1350-4177
    DOI 10.1016/j.ultsonch.2018.08.014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Dynamic mechanism of GPCR-mediated β-arrestin: a potential therapeutic agent discovery of biased drug.

    Xu, Zheng / Shao, Zhenhua

    Signal transduction and targeted therapy

    2022  Volume 7, Issue 1, Page(s) 283

    MeSH term(s) Ligands ; Receptors, G-Protein-Coupled/genetics ; beta-Arrestins/genetics ; beta-Arrestins/metabolism
    Chemical Substances Ligands ; Receptors, G-Protein-Coupled ; beta-Arrestins
    Language English
    Publishing date 2022-08-12
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 2886872-9
    ISSN 2059-3635 ; 2095-9907
    ISSN (online) 2059-3635
    ISSN 2095-9907
    DOI 10.1038/s41392-022-01140-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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