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  1. Article ; Online: Emerging role of complement in COVID-19 and other respiratory virus diseases.

    Xiao, Mark T / Ellsworth, Calder R / Qin, Xuebin

    Cellular and molecular life sciences : CMLS

    2024  Volume 81, Issue 1, Page(s) 94

    Abstract: The complement system, a key component of innate immunity, provides the first line of defense against bacterial infection; however, the COVID-19 pandemic has revealed that it may also engender severe complications in the context of viral respiratory ... ...

    Abstract The complement system, a key component of innate immunity, provides the first line of defense against bacterial infection; however, the COVID-19 pandemic has revealed that it may also engender severe complications in the context of viral respiratory disease. Here, we review the mechanisms of complement activation and regulation and explore their roles in both protecting against infection and exacerbating disease. We discuss emerging evidence related to complement-targeted therapeutics in COVID-19 and compare the role of the complement in other respiratory viral diseases like influenza and respiratory syncytial virus. We review recent mechanistic studies and animal models that can be used for further investigation. Novel knockout studies are proposed to better understand the nuances of the activation of the complement system in respiratory viral diseases.
    MeSH term(s) Animals ; Humans ; COVID-19 ; Pandemics ; Complement System Proteins ; Influenza, Human ; Respiratory Syncytial Virus, Human
    Chemical Substances Complement System Proteins (9007-36-7)
    Language English
    Publishing date 2024-02-18
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 1358415-7
    ISSN 1420-9071 ; 1420-682X
    ISSN (online) 1420-9071
    ISSN 1420-682X
    DOI 10.1007/s00018-024-05157-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 195: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  2. Article ; Online: A design and implementation of multi-character classification scheme based on motor imagery EEG signals.

    Pan, Hongguang / Zhang, Yibo / Li, Li / Qin, Xuebin

    Neuroscience

    2023  Volume 538, Page(s) 22–29

    Abstract: In the field of brain-to-text communication, it is difficult to finish highly dexterous behaviors of writing multi-character by motor-imagery-based brain-computer interface (MI-BCI), setting a barrier to restore communication in people who have lost the ... ...

    Abstract In the field of brain-to-text communication, it is difficult to finish highly dexterous behaviors of writing multi-character by motor-imagery-based brain-computer interface (MI-BCI), setting a barrier to restore communication in people who have lost the ability to move and speak. In this paper, we design and implement a multi-character classification scheme based on 29 characters of motor imagery (MI) electroencephalogram (EEG) signals, which contains 26 English letters and 3 punctuation marks. Firstly, we design a novel experimental paradigm to increase the variety of BCI inputs by asking subjects to imagine the movement of writing 29 characters instead of gross motor skills such as reaching or grasping. Secondly, because of the high dimension of EEG signals, we adopt power spectral density (PSD), principal components analysis (PCA), kernel principal components analysis (KPCA) respectively to decompose EEG signals and extract feature, and then test the results with pearson product-moment correlation coefficient (PCCs). Thirdly, we respectively employ k-nearest neighbor (kNN), support vector machine (SVM), extreme learning machine (ELM) and light gradient boosting machine (LightGBM) to classify 29 characters and compare the results. We have implemented a complete scheme, including paradigm design, signal acquisition, feature extraction and classification, which can effectively classify 29 characters. The experimental results show that the KPCA has the best feature extraction effect and the kNN has the highest classification accuracy, with the final classification accuracy reaching 96.2%, which is better than other studies.
    MeSH term(s) Humans ; Electroencephalography/methods ; Imagery, Psychotherapy ; Movement ; Brain-Computer Interfaces ; Brain ; Algorithms ; Imagination
    Language English
    Publishing date 2023-12-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 196739-3
    ISSN 1873-7544 ; 0306-4522
    ISSN (online) 1873-7544
    ISSN 0306-4522
    DOI 10.1016/j.neuroscience.2023.12.001
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    Zs.A 1215: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  3. Article ; Online: SARS-CoV2 Endotheliopathy: Insights from Single Cell RNAseq.

    Khatun, Mst Shamima / Qin, Xuebin / Pociask, Derek A / Kolls, Jay K

    American journal of respiratory and critical care medicine

    2022  Volume 206, Issue 9, Page(s) 1178–1179

    MeSH term(s) Humans ; SARS-CoV-2 ; RNA, Viral ; COVID-19 ; Antiviral Agents
    Chemical Substances RNA, Viral ; Antiviral Agents
    Language English
    Publishing date 2022-07-10
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 1180953-x
    ISSN 1535-4970 ; 0003-0805 ; 1073-449X
    ISSN (online) 1535-4970
    ISSN 0003-0805 ; 1073-449X
    DOI 10.1164/rccm.202206-1105LE
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  4. Article ; Online: Cell-intrinsic and -extrinsic effects of SARS-CoV-2 RNA on pathogenesis: single-cell meta-analysis.

    Khatun, Mst Shamima / Remcho, T Parks / Qin, Xuebin / Kolls, Jay K

    mSphere

    2023  Volume 8, Issue 5, Page(s) e0037523

    Abstract: Single-cell RNA-seq has been used to characterize human COVID-19. To determine if preclinical models successfully mimic the cell-intrinsic and -extrinsic effects of severe disease, we conducted a meta-analysis of single-cell data across five model ... ...

    Abstract Single-cell RNA-seq has been used to characterize human COVID-19. To determine if preclinical models successfully mimic the cell-intrinsic and -extrinsic effects of severe disease, we conducted a meta-analysis of single-cell data across five model species. To assess whether dissemination of viral RNA in lung cells tracks pathology and results in cell-intrinsic and -extrinsic transcriptomic changes in COVID-19. We conducted a meta-analysis by analyzing six publicly available, scRNA-seq data sets. We used dual mapping (host and virus) and differential gene expression analyses to compare viral
    MeSH term(s) Cricetinae ; Humans ; Animals ; Mice ; RNA, Viral/genetics ; SARS-CoV-2/genetics ; Endothelial Cells ; Ferrets ; Interleukin-18 ; Macaca mulatta ; COVID-19
    Chemical Substances RNA, Viral ; K-18 conjugate ; Interleukin-18
    Language English
    Publishing date 2023-09-22
    Publishing country United States
    Document type Meta-Analysis ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ISSN 2379-5042
    ISSN (online) 2379-5042
    DOI 10.1128/msphere.00375-23
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Anti-Gout Effects of the Medicinal Fungus

    Li, Hongxing / Zhang, Xinyue / Gu, Lili / Li, Qín / Ju, Yue / Zhou, Xuebin / Hu, Min / Li, Qīn

    Frontiers in pharmacology

    2022  Volume 12, Page(s) 801910

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2022-01-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2021.801910
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  6. Article: Efficacy and safety of

    Shi, Xinyi / Feng, Luda / Li, Yixuan / Qin, Mingzhen / Li, Tingting / Cheng, Zixin / Zhang, Xuebin / Zhou, Congren / Cheng, Sisong / Zhang, Chi / Gao, Ying

    Frontiers in pharmacology

    2023  Volume 14, Page(s) 1280559

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2023-10-16
    Publishing country Switzerland
    Document type Systematic Review
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2023.1280559
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  7. Article ; Online: Case of Cardiac Hemangioma Diagnosed by Myocardial Contrast Echocardiography.

    Xiachuan, Qin / Xuebin, Liu / Yongjie, Wang

    Circulation. Cardiovascular imaging

    2019  Volume 12, Issue 5, Page(s) e008811

    MeSH term(s) Biopsy ; Echocardiography ; Female ; Heart Neoplasms/diagnostic imaging ; Heart Neoplasms/pathology ; Heart Neoplasms/surgery ; Hemangioma/diagnostic imaging ; Hemangioma/pathology ; Hemangioma/surgery ; Humans ; Magnetic Resonance Imaging ; Middle Aged ; Predictive Value of Tests
    Language English
    Publishing date 2019-04-27
    Publishing country United States
    Document type Case Reports ; Video-Audio Media
    ZDB-ID 2435045-X
    ISSN 1942-0080 ; 1941-9651
    ISSN (online) 1942-0080
    ISSN 1941-9651
    DOI 10.1161/CIRCIMAGING.118.008811
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 6743: Show issues Location:
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  8. Book ; Online: DC-Net

    Zhu, Jiayi / Qin, Xuebin / Elsaddik, Abdulmotaleb

    Divide-and-Conquer for Salient Object Detection

    2023  

    Abstract: In this paper, we introduce Divide-and-Conquer into the salient object detection (SOD) task to enable the model to learn prior knowledge that is for predicting the saliency map. We design a novel network, Divide-and-Conquer Network (DC-Net) which uses ... ...

    Abstract In this paper, we introduce Divide-and-Conquer into the salient object detection (SOD) task to enable the model to learn prior knowledge that is for predicting the saliency map. We design a novel network, Divide-and-Conquer Network (DC-Net) which uses two encoders to solve different subtasks that are conducive to predicting the final saliency map, here is to predict the edge maps with width 4 and location maps of salient objects and then aggregate the feature maps with different semantic information into the decoder to predict the final saliency map. The decoder of DC-Net consists of our newly designed two-level Residual nested-ASPP (ResASPP$^{2}$) modules, which have the ability to capture a large number of different scale features with a small number of convolution operations and have the advantages of maintaining high resolution all the time and being able to obtain a large and compact effective receptive field (ERF). Based on the advantage of Divide-and-Conquer's parallel computing, we use Parallel Acceleration to speed up DC-Net, allowing it to achieve competitive performance on six LR-SOD and five HR-SOD datasets under high efficiency (60 FPS and 55 FPS). Codes and results are available: https://github.com/PiggyJerry/DC-Net.
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2023-05-24
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: Medicinal fungus

    Zhou, Xuebin / Shi, Qiyuan / Li, Jinhua / Quan, Shengli / Zhang, Xinyue / Gu, Lili / Li, Hongxing / Ju, Yue / Hu, Min / Li, Qin

    Frontiers in pharmacology

    2022  Volume 13, Page(s) 1011406

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2022-10-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2022.1011406
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  10. Article ; Online: Diverse CsPbI

    Yang, Dandan / Zhang, Xuebin / Liu, Shijia / Xu, Zhiheng / Yang, Yang / Li, Xiaoming / Ye, Qiuyu / Xu, Qin / Zeng, Haibo

    Nanoscale

    2023  Volume 15, Issue 4, Page(s) 1637–1644

    Abstract: Surface ligand engineering, seed introduction and external driving forces play major roles in controlling the anisotropic growth of halide perovskites, which have been widely established in ... ...

    Abstract Surface ligand engineering, seed introduction and external driving forces play major roles in controlling the anisotropic growth of halide perovskites, which have been widely established in CsPbBr
    Language English
    Publishing date 2023-01-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2515664-0
    ISSN 2040-3372 ; 2040-3364
    ISSN (online) 2040-3372
    ISSN 2040-3364
    DOI 10.1039/d2nr06208a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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