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  1. Article ; Online: Inhibitors of Cyclophilin A: Current and Anticipated Pharmaceutical Agents for Inflammatory Diseases and Cancers.

    Zhao, Xuemei / Zhao, Xin / Di, Weihua / Wang, Chang

    Molecules (Basel, Switzerland)

    2024  Volume 29, Issue 6

    Abstract: Cyclophilin A, a widely prevalent cellular protein, exhibits peptidyl- ... ...

    Abstract Cyclophilin A, a widely prevalent cellular protein, exhibits peptidyl-prolyl
    MeSH term(s) Humans ; Cyclophilin A ; Cyclosporine/pharmacology ; Neoplasms/drug therapy ; Pharmaceutical Preparations
    Chemical Substances Cyclophilin A (EC 5.2.1.-) ; Cyclosporine (83HN0GTJ6D) ; Pharmaceutical Preparations
    Language English
    Publishing date 2024-03-11
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules29061235
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.MO 81: Show issues

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  2. Article: The prognosis difference between elderly and younger patients with adrenocortical carcinoma.

    He, Shengyin / Huang, Xuemei / Zhao, Pan / Zhang, Peng

    Frontiers in genetics

    2023  Volume 13, Page(s) 1029155

    Abstract: Background and aim: ...

    Abstract Background and aim:
    Language English
    Publishing date 2023-01-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2022.1029155
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  3. Article ; Online: Genome sequence-based species classification of

    Qiu, Xuemei / Ye, Kun / Ma, Yanning / Zhao, Qiang / Wang, Lifeng / Yang, Jiyong

    Microbiology spectrum

    2024  , Page(s) e0431223

    Abstract: Accurate species-level identification of : Importance: Standardizing taxonomy of ... ...

    Abstract Accurate species-level identification of
    Importance: Standardizing taxonomy of the
    Language English
    Publishing date 2024-04-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2807133-5
    ISSN 2165-0497 ; 2165-0497
    ISSN (online) 2165-0497
    ISSN 2165-0497
    DOI 10.1128/spectrum.04312-23
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  4. Article: Association between the

    Hu, Xuemei / Zhao, Mingyang / Yang, Xue / Wang, Dongsen / Wu, Qingjian

    Frontiers in physiology

    2023  Volume 14, Page(s) 1191927

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2023-05-19
    Publishing country Switzerland
    Document type Systematic Review
    ZDB-ID 2564217-0
    ISSN 1664-042X
    ISSN 1664-042X
    DOI 10.3389/fphys.2023.1191927
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  5. Article ; Online: Surface and underwater human pose recognition based on temporal 3D point cloud deep learning

    Haijian Wang / Zhenyu Wu / Xuemei Zhao

    Scientific Reports, Vol 14, Iss 1, Pp 1-

    2024  Volume 15

    Abstract: Abstract Airborne surface and underwater human pose recognition are crucial for various safety and surveillance applications, including the detection of individuals in distress or drowning situations. However, airborne optical cameras struggle to achieve ...

    Abstract Abstract Airborne surface and underwater human pose recognition are crucial for various safety and surveillance applications, including the detection of individuals in distress or drowning situations. However, airborne optical cameras struggle to achieve simultaneous imaging of the surface and underwater because of limitations imposed by visible-light wavelengths. To address this problem, this study proposes the use of light detection and ranging (LiDAR) to simultaneously detect humans on the surface and underwater, whereby human poses are recognized using a neural network designed for irregular data. First, a temporal point-cloud dataset was constructed for surface and underwater human pose recognition to enhance the recognition of comparable movements. Subsequently, radius outlier removal (ROR) and statistical outlier removal (SOR) were employed to alleviate the impact of noise and outliers in the constructed dataset. Finally, different combinations of secondary sampling methods and sample sizes were tested to improve recognition accuracy using PointNet++. The experimental results show that the highest recognition accuracy reached 97.5012%, demonstrating the effectiveness of the proposed human pose detection and recognition method.
    Keywords Medicine ; R ; Science ; Q
    Subject code 004
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Riemannian Manifold-Based Feature Space and Corresponding Image Clustering Algorithms.

    Zhao, Xuemei / Li, Chen / Wu, Jun / Li, Xiaoli

    IEEE transactions on neural networks and learning systems

    2024  Volume 35, Issue 2, Page(s) 2680–2693

    Abstract: Image feature representation is a key factor influencing the accuracy of clustering. Traditional point-based feature spaces represent spectral features of an image independently and introduce spatial relationships of pixels in the image domain to enhance ...

    Abstract Image feature representation is a key factor influencing the accuracy of clustering. Traditional point-based feature spaces represent spectral features of an image independently and introduce spatial relationships of pixels in the image domain to enhance the contextual information expression ability. Mapping-based feature spaces aim to preserve the structure information, but the complex computation and the unexplainability of image features have a great impact on their applications. To this end, we propose an explicit feature space called Riemannian manifold feature space (RMFS) to present the contextual information in a unified way. First, the Gaussian probability distribution function (pdf) is introduced to characterize the features of a pixel in its neighborhood system in the image domain. Then, the feature-related pdfs are mapped to a Riemannian manifold, which constructs the proposed RMFS. In RMFS, a point can express the complex contextual information of corresponding pixel in the image domain, and pixels representing the same object are linearly distributed. This gives us a chance to convert nonlinear image segmentation problems to linear computation. To verify the superiority of the expression ability of the proposed RMFS, a linear clustering algorithm and a fuzzy linear clustering algorithm are proposed. Experimental results show that the proposed RMFS-based algorithms outperform their counterparts in the spectral feature space and the RMFS-based ones without the linear distribution characteristics. This indicates that the RMFS can better express features of an image than spectral feature space, and the expressed features can be easily used to construct linear segmentation models.
    Language English
    Publishing date 2024-02-05
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2022.3190836
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Surface and underwater human pose recognition based on temporal 3D point cloud deep learning.

    Wang, Haijian / Wu, Zhenyu / Zhao, Xuemei

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 55

    Abstract: Airborne surface and underwater human pose recognition are crucial for various safety and surveillance applications, including the detection of individuals in distress or drowning situations. However, airborne optical cameras struggle to achieve ... ...

    Abstract Airborne surface and underwater human pose recognition are crucial for various safety and surveillance applications, including the detection of individuals in distress or drowning situations. However, airborne optical cameras struggle to achieve simultaneous imaging of the surface and underwater because of limitations imposed by visible-light wavelengths. To address this problem, this study proposes the use of light detection and ranging (LiDAR) to simultaneously detect humans on the surface and underwater, whereby human poses are recognized using a neural network designed for irregular data. First, a temporal point-cloud dataset was constructed for surface and underwater human pose recognition to enhance the recognition of comparable movements. Subsequently, radius outlier removal (ROR) and statistical outlier removal (SOR) were employed to alleviate the impact of noise and outliers in the constructed dataset. Finally, different combinations of secondary sampling methods and sample sizes were tested to improve recognition accuracy using PointNet++. The experimental results show that the highest recognition accuracy reached 97.5012%, demonstrating the effectiveness of the proposed human pose detection and recognition method.
    MeSH term(s) Humans ; Deep Learning ; Drowning ; Light ; Movement ; Neural Networks, Computer
    Language English
    Publishing date 2024-01-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-50658-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Deciphering GABBR1-centered drug targets to fight viral infection with preexisting diabetes.

    Li, Xiangqi / Zhao, Xuemei / Peng, Li / Du, Hong / Chen, Shiwei / Chen, Xia

    Acta biochimica et biophysica Sinica

    2024  Volume 55, Issue 12, Page(s) 1999–2003

    MeSH term(s) Humans ; Genetic Predisposition to Disease ; Diabetes Mellitus/drug therapy ; Virus Diseases
    Language English
    Publishing date 2024-01-11
    Publishing country China
    Document type Journal Article
    ZDB-ID 2175256-4
    ISSN 1745-7270 ; 0582-9879 ; 1672-9145
    ISSN (online) 1745-7270
    ISSN 0582-9879 ; 1672-9145
    DOI 10.3724/abbs.2023249
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  9. Article ; Online: Refractory Anti- N -Methyl- d -Aspartate Receptor Autoimmune Encephalitis Induced by Ovarian Teratoma: A Case Report.

    Zhang, Rui / Zhao, Xuemei / Li, Wenjing / Gao, Yu

    Clinical neuropharmacology

    2024  Volume 47, Issue 2, Page(s) 62–64

    Abstract: Objective: Teratoma is a type of germ cell tumor that derived from early embryonic stem cells and germ cell lines, which can lead to a rare complication known as paraneoplastic encephalitis syndrome. Delayed removal of teratoma allows for continuing ... ...

    Abstract Objective: Teratoma is a type of germ cell tumor that derived from early embryonic stem cells and germ cell lines, which can lead to a rare complication known as paraneoplastic encephalitis syndrome. Delayed removal of teratoma allows for continuing antigen presentation, inducing affinity maturation of the antibody and the generation of long-lived plasma cells that infiltrate both bone marrow and brain, which makes the patient nonresponsive to later removal of teratoma and refractory to immunotherapy. We present this rare case to remind clinicians to be vigilant for the recognition and removal of teratoma during the treatment of autoimmune encephalitis.
    Methods: We retrospectively reviewed the clinical record of this 12-year 5-month-old female patient diagnosed with anti- N -methyl- d -aspartate receptor (anti-NMDAR) autoimmune encephalitis; her ovarian teratoma was unidentified on admission. She did not respond to immunosuppressive therapy until the mature ovarian teratoma identified 45 days after admission and removed the following day, nearly 2 months after symptom onset. This patient experienced nearly complete resolution of symptoms within the subsequent 2 weeks. In addition, we conducted a literature review of the clinical presentations and treatment of anti-NMDAR autoimmune encephalitis associated with ovarian teratoma in the pediatric population.
    Results: Our findings suggest that clinicians should be vigilant for the recognition and removal of teratoma during the treatment of autoimmune encephalitis.
    Conclusion: Female pediatric patients with suspected anti-NMDAR encephalitis should be screened for ovarian tumors immediately and treated in a multidisciplinary setting including neurology and obstetrics and gynecology.
    MeSH term(s) Child ; Female ; Humans ; Anti-N-Methyl-D-Aspartate Receptor Encephalitis/complications ; Encephalitis ; Hashimoto Disease ; Ovarian Neoplasms/diagnosis ; Ovarian Neoplasms/pathology ; Ovarian Neoplasms/therapy ; Receptors, Amino Acid ; Receptors, N-Methyl-D-Aspartate ; Retrospective Studies ; Teratoma/complications ; Teratoma/diagnosis ; Teratoma/pathology
    Chemical Substances aspartic acid receptor ; Receptors, Amino Acid ; Receptors, N-Methyl-D-Aspartate
    Language English
    Publishing date 2024-01-16
    Publishing country United States
    Document type Review ; Case Reports ; Journal Article
    ZDB-ID 199293-4
    ISSN 1537-162X ; 0362-5664
    ISSN (online) 1537-162X
    ISSN 0362-5664
    DOI 10.1097/WNF.0000000000000581
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Se 437: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  10. Article ; Online: Mechanically Tunable Transmittance Convection Shield for Dynamic Radiative Cooling.

    Chen, Qixiang / Huang, Xuemei / Lu, Yuehui / Xu, Hua / Zhao, Dongliang

    ACS applied materials & interfaces

    2024  Volume 16, Issue 17, Page(s) 21807–21817

    Abstract: Radiative cooling is the process to dissipate heat to the outer space through an atmospheric window (8-13 μm), which has great potential for energy savings in buildings. However, the traditional "static" spectral characteristics of radiative cooling ... ...

    Abstract Radiative cooling is the process to dissipate heat to the outer space through an atmospheric window (8-13 μm), which has great potential for energy savings in buildings. However, the traditional "static" spectral characteristics of radiative cooling materials may result in overcooling during the cold season or at night, necessitating the development of dynamic spectral radiative cooling for enhanced energy saving potential. In this study, we showcase the realization of dynamic radiative cooling by modulating the heat transfer process using a tunable transmittance convection shield (TTCS). The transmittance of the TTCS in both solar spectrum and atmospheric window can be dynamically adjusted within ranges of 28.8-72.9 and 27.0-80.5%, with modulation capabilities of Δ
    Language English
    Publishing date 2024-04-18
    Publishing country United States
    Document type Journal Article
    ISSN 1944-8252
    ISSN (online) 1944-8252
    DOI 10.1021/acsami.4c00825
    Database MEDical Literature Analysis and Retrieval System OnLINE

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