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  1. Article ; Online: Relapsing epidemic typhus (Brill-Zinsser disease) in China.

    Lu, Miao / Chen, Shizhe / Li, Huafeng / Wang, Wen / Li, Kun

    The Journal of infection

    2024  Volume 88, Issue 5, Page(s) 106152

    Language English
    Publishing date 2024-03-30
    Publishing country England
    Document type Letter
    ZDB-ID 424417-5
    ISSN 1532-2742 ; 0163-4453
    ISSN (online) 1532-2742
    ISSN 0163-4453
    DOI 10.1016/j.jinf.2024.106152
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1501: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MG 48: Show issues

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  2. Article ; Online: Construction of SnO

    Song, Jinhong / Zhang, Chen / Zheng, Zejian / Huo, Shizhe / Lin, Yihan / Yang, Fei / Liu, Lei

    Journal of colloid and interface science

    2024  Volume 663, Page(s) 132–142

    Abstract: ... ...

    Abstract SnO
    Language English
    Publishing date 2024-02-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 241597-5
    ISSN 1095-7103 ; 0021-9797
    ISSN (online) 1095-7103
    ISSN 0021-9797
    DOI 10.1016/j.jcis.2024.02.151
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 71/707: Show issues

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  3. Article ; Online: Current treatment and novel insights regarding ROS1-targeted therapy in malignant tumors.

    Li, Shizhe / Zhang, He / Chen, Ting / Zhang, Xiaowen / Shang, Guanning

    Cancer medicine

    2024  Volume 13, Issue 8, Page(s) e7201

    Abstract: Background: The proto-oncogene ROS1 encodes an intrinsic type I membrane protein of the tyrosine kinase/insulin receptor family. ROS1 facilitates the progression of various malignancies via self-mutations or rearrangements. Studies on ROS1-directed ... ...

    Abstract Background: The proto-oncogene ROS1 encodes an intrinsic type I membrane protein of the tyrosine kinase/insulin receptor family. ROS1 facilitates the progression of various malignancies via self-mutations or rearrangements. Studies on ROS1-directed tyrosine kinase inhibitors have been conducted, and some have been approved by the FDA for clinical use. However, the adverse effects and mechanisms of resistance associated with ROS1 inhibitors remain unknown. In addition, next-generation ROS1 inhibitors, which have the advantage of treating central nervous system metastases and alleviating endogenous drug resistance, are still in the clinical trial stage.
    Method: In this study, we searched relevant articles reporting the mechanism and clinical application of ROS1 in recent years; systematically reviewed the biological mechanisms, diagnostic methods, and research progress on ROS1 inhibitors; and provided perspectives for the future of ROS1-targeted therapy.
    Results: ROS1 is most expressed in malignant tumours. Only a few ROS1 kinase inhibitors are currently approved for use in NSCLC, the efficacy of other TKIs for NSCLC and other malignancies has not been ascertained. There is no effective standard treatment for adverse events or resistance to ROS1-targeted therapy. Next-generation TKIs appear capable of overcoming resistance and delaying central nervous system metastasis, but with a greater incidence of adverse effects.
    Conclusions: Further research on next-generation TKIs regarding the localization of ROS1 and its fusion partners, binding sites for targeted drugs, and coadministration with other drugs is required. The correlation between TKIs and chemotherapy or immunotherapy in clinical practice requires further study.
    MeSH term(s) Humans ; Protein-Tyrosine Kinases/genetics ; Lung Neoplasms/pathology ; Anaplastic Lymphoma Kinase/genetics ; Protein Kinase Inhibitors/pharmacology ; Protein Kinase Inhibitors/therapeutic use ; Proto-Oncogene Proteins/genetics
    Chemical Substances Protein-Tyrosine Kinases (EC 2.7.10.1) ; Anaplastic Lymphoma Kinase (EC 2.7.10.1) ; Protein Kinase Inhibitors ; Proto-Oncogene Proteins ; ROS1 protein, human (EC 2.7.10.1)
    Language English
    Publishing date 2024-04-17
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2659751-2
    ISSN 2045-7634 ; 2045-7634
    ISSN (online) 2045-7634
    ISSN 2045-7634
    DOI 10.1002/cam4.7201
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  4. Article ; Online: Optimization Algorithm for Delay Estimation Based on Singular Value Decomposition and Improved

    Wang, Shizhe / Li, Zongji / Wang, Pingbo / Chen, Huadong

    Sensors (Basel, Switzerland)

    2022  Volume 22, Issue 19

    Abstract: The accuracy of time delay estimation seriously affects the accuracy of sound source localization. In order to improve the accuracy of time delay estimation under the condition of low SNR, a delay estimation optimization algorithm based on singular value ...

    Abstract The accuracy of time delay estimation seriously affects the accuracy of sound source localization. In order to improve the accuracy of time delay estimation under the condition of low SNR, a delay estimation optimization algorithm based on singular value decomposition and improved
    MeSH term(s) Acoustics ; Algorithms ; Noise ; Signal-To-Noise Ratio
    Language English
    Publishing date 2022-09-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s22197254
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  5. Article ; Online: Application of an accelerometer in adjusting parameters and detecting characteristics in the pacemaker rate response.

    Qiu, Hanying / Huang, Shizhe / Su, Linjie / Chen, Haojia / Chen, Yaowen

    Physiological measurement

    2022  Volume 43, Issue 3

    Abstract: Objective. ...

    Abstract Objective.
    MeSH term(s) Accelerometry ; Electrocardiography, Ambulatory ; Exercise Test ; Heart Rate/physiology ; Humans ; Pacemaker, Artificial ; Retrospective Studies
    Language English
    Publishing date 2022-04-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 1149545-5
    ISSN 1361-6579 ; 0967-3334
    ISSN (online) 1361-6579
    ISSN 0967-3334
    DOI 10.1088/1361-6579/ac5467
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1559: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  6. Book ; Online: gSDF

    Chen, Zerui / Chen, Shizhe / Schmid, Cordelia / Laptev, Ivan

    Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction

    2023  

    Abstract: Signed distance functions (SDFs) is an attractive framework that has recently shown promising results for 3D shape reconstruction from images. SDFs seamlessly generalize to different shape resolutions and topologies but lack explicit modelling of the ... ...

    Abstract Signed distance functions (SDFs) is an attractive framework that has recently shown promising results for 3D shape reconstruction from images. SDFs seamlessly generalize to different shape resolutions and topologies but lack explicit modelling of the underlying 3D geometry. In this work, we exploit the hand structure and use it as guidance for SDF-based shape reconstruction. In particular, we address reconstruction of hands and manipulated objects from monocular RGB images. To this end, we estimate poses of hands and objects and use them to guide 3D reconstruction. More specifically, we predict kinematic chains of pose transformations and align SDFs with highly-articulated hand poses. We improve the visual features of 3D points with geometry alignment and further leverage temporal information to enhance the robustness to occlusion and motion blurs. We conduct extensive experiments on the challenging ObMan and DexYCB benchmarks and demonstrate significant improvements of the proposed method over the state of the art.

    Comment: Accepted by CVPR 2023. Project Page: https://zerchen.github.io/projects/gsdf.html
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 004
    Publishing date 2023-04-24
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: The role of protein arginine N-methyltransferases in inflammation.

    Chen, Ting / Liu, Jinxin / Li, Shizhe / Wang, Peter / Shang, Guanning

    Seminars in cell & developmental biology

    2022  Volume 154, Issue Pt C, Page(s) 208–214

    Abstract: Protein arginine methyltransferases (PRMTs) promote the methylation of numerous proteins at their arginine residues. An increasing number of publications have suggested that dysregulation of PRMTs participates in various human diseases, such as ... ...

    Abstract Protein arginine methyltransferases (PRMTs) promote the methylation of numerous proteins at their arginine residues. An increasing number of publications have suggested that dysregulation of PRMTs participates in various human diseases, such as cardiovascular diseases, cancer, diabetes and neurodegenerative disorders. Inflammation is one normal response to infection or injury by immune system, which can keep body homeostasis. Emerging data reveal that inflammation is associated with the development of numerous diseases. Moreover, accumulated evidence proves that PRMTs have been characterized to regulate inflammation in various diseases. In this review article, we delineate the function and molecular mechanism of PRMTs in regulation of inflammation in current literature. Moreover, we discuss that targeting PRMTs by its inhibitors and compounds could have therapeutic potential.
    Language English
    Publishing date 2022-09-06
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1312473-0
    ISSN 1096-3634 ; 1084-9521
    ISSN (online) 1096-3634
    ISSN 1084-9521
    DOI 10.1016/j.semcdb.2022.08.005
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2918: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: PROTACs: Novel tools for improving immunotherapy in cancer.

    Li, Shizhe / Chen, Ting / Liu, Jinxin / Zhang, He / Li, Jiatong / Wang, Zhiwei / Shang, Guanning

    Cancer letters

    2023  Volume 560, Page(s) 216128

    Abstract: Posttranslational modifications (PTMs), such as phosphorylation, methylation, ubiquitination, and acetylation, are important in governing protein expression levels. Proteolysis targeting chimeras (PROTACs) are novel structures designed to target a ... ...

    Abstract Posttranslational modifications (PTMs), such as phosphorylation, methylation, ubiquitination, and acetylation, are important in governing protein expression levels. Proteolysis targeting chimeras (PROTACs) are novel structures designed to target a protein of interest (POI) for ubiquitination and degradation, leading to the selective reduction in the expression levels of the POI. PROTACs have exhibited great promise due to their ability to target undruggable proteins, including several transcription factors. Recently, PROTACs have been characterized to improve anticancer immunotherapy via the regulation of specific proteins. In this review, we describe how the PROTACs target several molecules, including HDAC6, IDO1, EGFR, FoxM1, PD-L1, SHP2, HPK1, BCL-xL, BET proteins, NAMPT, and COX-1/2, to regulate immunotherapy in human cancers. PROTACs may provide potential treatment benefits by enhancing immunotherapy in cancer patients.
    MeSH term(s) Humans ; Ubiquitin-Protein Ligases/metabolism ; Proteolysis ; Neoplasms ; Transcription Factors/metabolism ; Immunotherapy
    Chemical Substances Ubiquitin-Protein Ligases (EC 2.3.2.27) ; Transcription Factors
    Language English
    Publishing date 2023-03-16
    Publishing country Ireland
    Document type Journal Article ; Review
    ZDB-ID 195674-7
    ISSN 1872-7980 ; 0304-3835
    ISSN (online) 1872-7980
    ISSN 0304-3835
    DOI 10.1016/j.canlet.2023.216128
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1177: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  9. Book ; Online: InfoMetIC

    Hu, Anwen / Chen, Shizhe / Zhang, Liang / Jin, Qin

    An Informative Metric for Reference-free Image Caption Evaluation

    2023  

    Abstract: Automatic image captioning evaluation is critical for benchmarking and promoting advances in image captioning research. Existing metrics only provide a single score to measure caption qualities, which are less explainable and informative. Instead, we ... ...

    Abstract Automatic image captioning evaluation is critical for benchmarking and promoting advances in image captioning research. Existing metrics only provide a single score to measure caption qualities, which are less explainable and informative. Instead, we humans can easily identify the problems of captions in details, e.g., which words are inaccurate and which salient objects are not described, and then rate the caption quality. To support such informative feedback, we propose an Informative Metric for Reference-free Image Caption evaluation (InfoMetIC). Given an image and a caption, InfoMetIC is able to report incorrect words and unmentioned image regions at fine-grained level, and also provide a text precision score, a vision recall score and an overall quality score at coarse-grained level. The coarse-grained score of InfoMetIC achieves significantly better correlation with human judgements than existing metrics on multiple benchmarks. We also construct a token-level evaluation dataset and demonstrate the effectiveness of InfoMetIC in fine-grained evaluation. Our code and datasets are publicly available at https://github.com/HAWLYQ/InfoMetIC.

    Comment: Accepted by ACL 2023 main conference
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2023-05-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Book ; Online: PolarNet

    Chen, Shizhe / Garcia, Ricardo / Schmid, Cordelia / Laptev, Ivan

    3D Point Clouds for Language-Guided Robotic Manipulation

    2023  

    Abstract: The ability for robots to comprehend and execute manipulation tasks based on natural language instructions is a long-term goal in robotics. The dominant approaches for language-guided manipulation use 2D image representations, which face difficulties in ... ...

    Abstract The ability for robots to comprehend and execute manipulation tasks based on natural language instructions is a long-term goal in robotics. The dominant approaches for language-guided manipulation use 2D image representations, which face difficulties in combining multi-view cameras and inferring precise 3D positions and relationships. To address these limitations, we propose a 3D point cloud based policy called PolarNet for language-guided manipulation. It leverages carefully designed point cloud inputs, efficient point cloud encoders, and multimodal transformers to learn 3D point cloud representations and integrate them with language instructions for action prediction. PolarNet is shown to be effective and data efficient in a variety of experiments conducted on the RLBench benchmark. It outperforms state-of-the-art 2D and 3D approaches in both single-task and multi-task learning. It also achieves promising results on a real robot.

    Comment: Accepted to CoRL 2023. Project website: https://www.di.ens.fr/willow/research/polarnet/
    Keywords Computer Science - Robotics ; Computer Science - Computer Vision and Pattern Recognition
    Subject code 629
    Publishing date 2023-09-27
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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