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  1. Article: Current understanding of T cell immunity against SARS-CoV-2.

    Lu, Xiuyuan / Yamasaki, Sho

    Inflammation and regeneration

    2022  Volume 42, Issue 1, Page(s) 51

    Abstract: As an important part of adaptive immunity, T cells are indispensable in the defense against pathogens including viruses. SARS-CoV-2 is a new human coronavirus that occurred at the end of 2019 and has caused the COVID-19 pandemic. Nevertheless, most of ... ...

    Abstract As an important part of adaptive immunity, T cells are indispensable in the defense against pathogens including viruses. SARS-CoV-2 is a new human coronavirus that occurred at the end of 2019 and has caused the COVID-19 pandemic. Nevertheless, most of the infected patients recovered without any antiviral therapies, suggesting an effective immunity developed in the bodies. T cell immunity responds upon SARS-CoV-2 infection or vaccination and plays crucial roles in eliminating the viruses and generating T cell memory. Specifically, a subpopulation of CD4
    Language English
    Publishing date 2022-11-29
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2051471-2
    ISSN 1880-9693 ; 0389-4290
    ISSN 1880-9693 ; 0389-4290
    DOI 10.1186/s41232-022-00242-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Evaluation of systemic impact of tricuspid regurgitation

    Fanglin Lu / Tianyuan Xiong / Mao Chen / Rongman Jia / Xiuyuan Hao

    Chinese Medical Journal, Vol 136, Iss 2, Pp 138-

    an appeal for the notion of tricuspid regurgitation syndrome

    2023  Volume 140

    Keywords Medicine ; R
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Wolters Kluwer
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Event-Based Motion Segmentation With Spatio-Temporal Graph Cuts.

    Zhou, Yi / Gallego, Guillermo / Lu, Xiuyuan / Liu, Siqi / Shen, Shaojie

    IEEE transactions on neural networks and learning systems

    2023  Volume 34, Issue 8, Page(s) 4868–4880

    Abstract: Identifying independently moving objects is an essential task for dynamic scene understanding. However, traditional cameras used in dynamic scenes may suffer from motion blur or exposure artifacts due to their sampling principle. By contrast, event-based ...

    Abstract Identifying independently moving objects is an essential task for dynamic scene understanding. However, traditional cameras used in dynamic scenes may suffer from motion blur or exposure artifacts due to their sampling principle. By contrast, event-based cameras are novel bio-inspired sensors that offer advantages to overcome such limitations. They report pixel-wise intensity changes asynchronously, which enables them to acquire visual information at exactly the same rate as the scene dynamics. We develop a method to identify independently moving objects acquired with an event-based camera, that is, to solve the event-based motion segmentation problem. We cast the problem as an energy minimization one involving the fitting of multiple motion models. We jointly solve two sub-problems, namely event-cluster assignment (labeling) and motion model fitting, in an iterative manner by exploiting the structure of the input event data in the form of a spatio-temporal graph. Experiments on available datasets demonstrate the versatility of the method in scenes with different motion patterns and number of moving objects. The evaluation shows state-of-the-art results without having to predetermine the number of expected moving objects. We release the software and dataset under an open source license to foster research in the emerging topic of event-based motion segmentation.
    Language English
    Publishing date 2023-08-04
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2021.3124580
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  4. Article ; Online: Kinetic and mechanistic analysis of NH

    Lu, Xiuyuan / Zhang, Jing / Chen, Wen-Kai / Roldan, Alberto

    Nanoscale advances

    2021  Volume 3, Issue 6, Page(s) 1624–1632

    Abstract: We investigated the catalytic ... ...

    Abstract We investigated the catalytic NH
    Language English
    Publishing date 2021-02-09
    Publishing country England
    Document type Journal Article
    ISSN 2516-0230
    ISSN (online) 2516-0230
    DOI 10.1039/d1na00015b
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Are Carbon-Based Materials Good Supports for the Catalytic Reforming of Ammonia?

    Lu, Xiuyuan / Roldan, Alberto

    Journal of physical chemistry. 2021 July 14, v. 125, no. 29

    2021  

    Abstract: Carbon-based materials are commonly used in catalysis as metal-free catalysts and as supports for metal particles. We investigated a series of graphene point defects using the density functional theory (DFT) and shed light on their role in the catalytic ... ...

    Abstract Carbon-based materials are commonly used in catalysis as metal-free catalysts and as supports for metal particles. We investigated a series of graphene point defects using the density functional theory (DFT) and shed light on their role in the catalytic reforming of ammonia. The adsorption of molecules and reaction intermediates on carbon vacancies, lattice reconstruction, partial oxidation, and dopants was analyzed to provide details on the most favorable interactions. Thermochemical investigations revealed the structures active for NH₃ adsorption and dehydrogenation. Based on transition-state theory, we implemented microkinetic simulations and found that the rate-determining step is either NH₃ activation or the desorption of reformed molecules, depending on the defect type. However, investigated defects are ineffective to desorb the reaction products, i.e., N₂ and H₂. Batch reaction simulations within wide temperature and time ranges indicated that although NH₃ dehydrogenation may occur, the active sites become poisoned by the H or N anchored atoms; therefore, in the long term, carbon-based materials are inert toward NH₃ reforming.
    Keywords adsorption ; ammonia ; catalytic activity ; dehydrogenation ; density functional theory ; desorption ; graphene ; oxidation ; temperature
    Language English
    Dates of publication 2021-0714
    Size p. 15950-15958.
    Publishing place American Chemical Society
    Document type Article
    ISSN 1932-7455
    DOI 10.1021/acs.jpcc.1c03996
    Database NAL-Catalogue (AGRICOLA)

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  6. Article ; Online: Mg-Diffusion of ZnO-Based Electron-Transport Layers for Highly Conductive Quantum-Dot Light-Emitting Diodes.

    Tang, Xiaoqi / He, Siyu / Deng, Yunzhou / Lu, Xiuyuan / Zhu, Xitong / Jin, Wangxiao / Jin, Yizheng

    The journal of physical chemistry letters

    2023  Volume 14, Issue 25, Page(s) 5812–5817

    Abstract: Quantum-dot light-emitting diodes (QLEDs) show great potential in next-generation display and lighting technologies. Further reducing the resistances of the high-efficiency QLEDs is critical to improving their luminous efficiencies and lowering their ... ...

    Abstract Quantum-dot light-emitting diodes (QLEDs) show great potential in next-generation display and lighting technologies. Further reducing the resistances of the high-efficiency QLEDs is critical to improving their luminous efficiencies and lowering their power consumption. However, wet-chemistry methods to improve the conductivities of ZnO-based electron-transport layers (ETLs) often lead to trade-offs in the external quantum efficiencies (EQEs) of QLEDs. Here, we report a facile approach toward highly conductive QLEDs by in situ diffusion of Mg atoms into the ZnO-based ETLs. We demonstrate that thermally evaporated Mg can spread deep into the ZnO-based ETL with a long penetration length, generating oxygen vacancies that promote the electron-transport properties. The Mg-diffused ETLs enhance the conductivities and luminous efficiencies of state-of-the-art QLEDs without sacrificing the EQEs. This strategy is applied to QLEDs with various optical architectures, leading to significant enhancements in the current densities, luminances, and luminous efficiencies. We expect that our method could be extended to other solution-processed LEDs using ZnO-based ETLs.
    Language English
    Publishing date 2023-06-20
    Publishing country United States
    Document type Journal Article
    ISSN 1948-7185
    ISSN (online) 1948-7185
    DOI 10.1021/acs.jpclett.3c01465
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  7. Book ; Online: Event-based Visual Inertial Velometer

    Lu, Xiuyuan / Zhou, Yi / Shen, Shaojie

    2023  

    Abstract: Neuromorphic event-based cameras are bio-inspired visual sensors with asynchronous pixels and extremely high temporal resolution. Such favorable properties make them an excellent choice for solving state estimation tasks under aggressive ego motion. ... ...

    Abstract Neuromorphic event-based cameras are bio-inspired visual sensors with asynchronous pixels and extremely high temporal resolution. Such favorable properties make them an excellent choice for solving state estimation tasks under aggressive ego motion. However, failures of camera pose tracking are frequently witnessed in state-of-the-art event-based visual odometry systems when the local map cannot be updated in time. One of the biggest roadblocks for this specific field is the absence of efficient and robust methods for data association without imposing any assumption on the environment. This problem seems, however, unlikely to be addressed as in standard vision due to the motion-dependent observability of event data. Therefore, we propose a mapping-free design for event-based visual-inertial state estimation in this paper. Instead of estimating the position of the event camera, we find that recovering the instantaneous linear velocity is more consistent with the differential working principle of event cameras. The proposed event-based visual-inertial velometer leverages a continuous-time formulation that incrementally fuses the heterogeneous measurements from a stereo event camera and an inertial measurement unit. Experiments on the synthetic dataset demonstrate that the proposed method can recover instantaneous linear velocity in metric scale with low latency.
    Keywords Computer Science - Robotics
    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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  8. Article ; Online: Blocking exosomal secretion aggravated 1,4-benzoquinone-induced cytotoxicity.

    Zhang, Qianqian / Lu, Fangfang / Zhang, Chunxiao / Yu, Xiuyuan / Yang, Xinjun / Yan, Hongtao

    Environmental toxicology

    2023  Volume 39, Issue 3, Page(s) 1099–1106

    Abstract: Benzene exposure inhibits the hematopoietic system and leads to the occurrence of various types of leukemia. However, the mechanism underlying the hematotoxicity of benzene is still largely unclear. Emerging evidence has shown that exosomes are involved ... ...

    Abstract Benzene exposure inhibits the hematopoietic system and leads to the occurrence of various types of leukemia. However, the mechanism underlying the hematotoxicity of benzene is still largely unclear. Emerging evidence has shown that exosomes are involved in toxic mechanisms of benzene. To understand the effect of 1,4-benzoquinone (PBQ; an active metabolite of benzene in bone marrow) on the exosomal release characteristics and role of exosomal secretion in PBQ-induced cytotoxicity. Exosomes were isolated from PBQ-treated HL-60 cells, purified by ultracentrifugation, and verified by transmission electron microscopy, nanoparticle tracking analysis and the presence of specific biomarkers. Our results showed that PBQ increased exosomal secretion in a dose-dependent manner, reaching a peak in 3 h at 10 μM PBQ treatment and then slowly decreasing in HL-60 cells. The exosomes contained miRNAs, which have been reported to be associated with benzene exposure or benzene poisoning. In particular, mir-34a-3p and mir-34A-5p were enriched in exosomes derived from PBQ-treated cells. In addition, the inhibition of exosomal release by GW4869 (an inhibitor of exosomal release) exacerbated PBQ-induced cytotoxicity, including increased intracellular reactive oxygen species levels, decreased mitochondrial membrane potential, and increased the apoptosis rate. Our findings illustrated that exosomes secretion plays an important role in antagonizing PBQ-induced cytotoxicity and maintaining cell homeostasis.
    MeSH term(s) Humans ; Benzene/toxicity ; MicroRNAs/metabolism ; Apoptosis ; HL-60 Cells ; Benzoquinones/pharmacology
    Chemical Substances Benzene (J64922108F) ; MicroRNAs ; Benzoquinones
    Language English
    Publishing date 2023-10-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1463449-1
    ISSN 1522-7278 ; 1520-4081
    ISSN (online) 1522-7278
    ISSN 1520-4081
    DOI 10.1002/tox.23944
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2676: Show issues Location:
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  9. Article ; Online: Predicting survival and prognosis of postoperative breast cancer brain metastasis

    Yan Nie / Bicheng Ying / Zinan Lu / Tonghui Sun / Gang Sun / Rongman Jia / Xiuyuan Hao

    Chinese Medical Journal, Vol 136, Iss 14, Pp 1699-

    a population-based retrospective analysis

    2023  Volume 1707

    Abstract: Abstract. Background:. Breast cancer is one of the most common cancer in women and a proportion of patients experiences brain metastases with poor prognosis. The study aimed to construct a novel predictive clinical model to evaluate the overall survival ( ...

    Abstract Abstract. Background:. Breast cancer is one of the most common cancer in women and a proportion of patients experiences brain metastases with poor prognosis. The study aimed to construct a novel predictive clinical model to evaluate the overall survival (OS) of patients with postoperative brain metastasis of breast cancer (BCBM) and validate its effectiveness. Methods:. From 2010 to 2020, a total of 310 female patients with BCBM were diagnosed in The Affiliated Cancer Hospital of Xinjiang Medical University, and they were randomly assigned to the training cohort and the validation cohort. Data of another 173 BCBM patients were collected from the Surveillance, Epidemiology, and End Results Program (SEER) database as an external validation cohort. In the training cohort, the least absolute shrinkage and selection operator (LASSO) Cox regression model was used to determine the fundamental clinical predictive indicators and the nomogram was constructed to predict OS. The model capability was assessed using receiver operating characteristic, C-index, and calibration curves. Kaplan–Meier survival analysis was performed to evaluate clinical effectiveness of the risk stratification system in the model. The accuracy and prediction capability of the model were verified using the validation and SEER cohorts. Results:. LASSO Cox regression analysis revealed that lymph node metastasis, molecular subtype, tumor size, chemotherapy, radiotherapy, and lung metastasis were statistically significantly correlated with BCBM. The C-indexes of the survival nomogram in the training, validation, and SEER cohorts were 0.714, 0.710, and 0.670, respectively, which showed good prediction capability. The calibration curves demonstrated that the nomogram had great forecast precision, and a dynamic diagram was drawn to increase the maneuverability of the results. The Risk Stratification System showed that the OS of low-risk patients was considerably better than that of high-risk patients (P < 0.001). Conclusion:. The nomogram prediction ...
    Keywords Medicine ; R
    Subject code 610
    Language English
    Publishing date 2023-07-01T00:00:00Z
    Publisher Wolters Kluwer
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: A Study of the Effectiveness of Mobile Health Application in A Self-management Intervention for Kidney Transplant Patients.

    Xie, Xiuyuan / Wang, Xuejing / Li, Anqi / Yan, Yanhong / Lu, Ting / Wu, Yue / Lin, Zheng

    Iranian journal of kidney diseases

    2023  Volume 17, Issue 5, Page(s) 263–270

    Abstract: Introduction: With the development of information technology in medical treatment, mobile medical treatment has become a new way to seek treatment, follow-up, extended care, popular science, disease prevention and access to disease expertise. The ... ...

    Abstract Introduction: With the development of information technology in medical treatment, mobile medical treatment has become a new way to seek treatment, follow-up, extended care, popular science, disease prevention and access to disease expertise. The application of mobile medical treatment is relatively mature in the management of chronic diseases. Currently, mobile medical intervention is also introduced in the self-management of patients after Renal Transplantation. Compared with traditional intervention methods, mobile medical treatment has the advantages of convenience, speed, low cost and no geographical restriction, and it is easy to be used by KT recipients in self-management and has good feasibility. Therefore, we conducted self-management intervention for patients after Renal Transplantation based on mobile medical procedures, so as to improve patients' satisfaction, medication compliance, follow-up rate, and ease patients' anxiety about the disease.
    Methods: A total of 160 discharged patients with stable recovery of transplanted Renal function who underwent renal transplantation surgery in our hospital from January 2021 to January 2023 were selected for retrospective analysis. According to the different intervention plan, the patients were divided into the intervention group and the comparison group, 80 cases each. Among them, the intervention group used the mobile medical application selfmanagement behavior intervention, and the comparison group used the conventional self-management behavior intervention. The differences of self-management behavior score, quality of life score, Basel score and anxiety score between the two groups of patients after Renal Transplantation were analyzed and compared.
    Results: After intervention, there were statistically significant differences in the scores of self-management behavior scale, Quality of life related rating scale, Basel Assessment scale and Self-rating Anxiety Scale between the intervention group and the control group (P < .05).
    Conclusion: Mobile health intervention tools can provide efficient, comprehensive and accurate remote health intervention and professional support for patients, optimize the medical service system, and meet the social medical needs of high-quality nursing services.  DOI: 10.52547/ijkd.7693.
    MeSH term(s) Humans ; Kidney Transplantation/adverse effects ; Quality of Life ; Self-Management ; Retrospective Studies ; Telemedicine
    Language English
    Publishing date 2023-10-12
    Publishing country Iran
    Document type Journal Article
    ZDB-ID 2388271-2
    ISSN 1735-8604 ; 1735-8582
    ISSN (online) 1735-8604
    ISSN 1735-8582
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