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  1. Book ; Online ; E-Book: COVID-19

    Qu, Jie-Ming / Cao, Bin / Chen, Rong-Chang

    the essentials of prevention and treatment

    2021  

    Author's details Jie-Ming Qu, Bin Cao, Rong-Chang Chen
    Keywords COVID-19 (Disease)/Treatment ; COVID-19 (Disease)/Prevention
    Subject code 616.2414
    Language English
    Size 1 Online-Ressource (x, 103 Seiten), Illustrationen, Diagramme
    Publisher Elsevier
    Publishing place Amsterdam
    Publishing country Netherlands
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020626889
    ISBN 978-0-12-824251-3 ; 9780128240038 ; 0-12-824251-5 ; 0128240032
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Organic Molecules Mimic Alkali Metals Enabling Spontaneous Harpoon Reactions with Halogens.

    Cao, Wenjin / Wang, Xue-Bin

    Chemistry (Weinheim an der Bergstrasse, Germany)

    2024  Volume 30, Issue 20, Page(s) e202400038

    Abstract: The harpoon mechanism has been a milestone in molecular reaction dynamics. Until now, the entity from which electron harpooning occurs has been either alkali metal atoms or non-metallic analogs in their excited states. In this work, we demonstrate that a ...

    Abstract The harpoon mechanism has been a milestone in molecular reaction dynamics. Until now, the entity from which electron harpooning occurs has been either alkali metal atoms or non-metallic analogs in their excited states. In this work, we demonstrate that a common organic molecule, octamethylcalix[4] pyrrole (omC4P), behaves just like alkali metal atoms, enabling the formation of charge-separated ionic bonding complexes with halogens omC4P
    Language English
    Publishing date 2024-02-16
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1478547-X
    ISSN 1521-3765 ; 0947-6539
    ISSN (online) 1521-3765
    ISSN 0947-6539
    DOI 10.1002/chem.202400038
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Clinically relevant plasma proteome for adiposity depots: evidence from systematic mendelian randomization and colocalization analyses.

    Cao, Min / Cui, Bin

    Cardiovascular diabetology

    2024  Volume 23, Issue 1, Page(s) 126

    Abstract: Background: The accumulation of visceral and ectopic fat comprise a major cause of cardiometabolic diseases. However, novel drug targets for reducing unnecessary visceral and ectopic fat are still limited. Our study aims to provide a comprehensive ... ...

    Abstract Background: The accumulation of visceral and ectopic fat comprise a major cause of cardiometabolic diseases. However, novel drug targets for reducing unnecessary visceral and ectopic fat are still limited. Our study aims to provide a comprehensive investigation of the causal effects of the plasma proteome on visceral and ectopic fat using Mendelian randomization (MR) approach.
    Methods: We performed two-sample MR analyses based on five large genome-wide association study (GWAS) summary statistics of 2656 plasma proteins, to screen for causal associations of these proteins with traits of visceral and ectopic fat in over 30,000 participants of European ancestry, as well as to assess mediation effects by risk factors of outcomes. The colocalization analysis was conducted to examine whether the identified proteins and outcomes shared casual variants.
    Results: Genetically predicted levels of 14 circulating proteins were associated with visceral and ectopic fat (P < 4.99 × 10
    Conclusions: Our study identified candidate proteins showing putative causal effects as potential therapeutic targets for visceral and ectopic fat accumulation and outlined causal pathways for further prevention of downstream cardiometabolic diseases.
    MeSH term(s) Humans ; Adiposity/genetics ; Proteome ; Genome-Wide Association Study ; Mendelian Randomization Analysis ; Obesity ; Cardiovascular Diseases ; Membrane Proteins ; Molecular Chaperones ; HSP40 Heat-Shock Proteins
    Chemical Substances Proteome ; DNAJB9 protein, human ; Membrane Proteins ; Molecular Chaperones ; HSP40 Heat-Shock Proteins
    Language English
    Publishing date 2024-04-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 2093769-6
    ISSN 1475-2840 ; 1475-2840
    ISSN (online) 1475-2840
    ISSN 1475-2840
    DOI 10.1186/s12933-024-02222-1
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  4. Article ; Online: The insights from SARS-CoV-2 antibody treatment for future emerging infectious diseases.

    Wang, Yeming / Cao, Bin

    The Lancet. Infectious diseases

    2023  Volume 24, Issue 1, Page(s) 2–3

    MeSH term(s) Humans ; SARS-CoV-2 ; COVID-19 ; Communicable Diseases, Emerging/drug therapy ; Middle East Respiratory Syndrome Coronavirus ; Antibodies, Viral/therapeutic use
    Chemical Substances Antibodies, Viral
    Language English
    Publishing date 2023-08-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2061641-7
    ISSN 1474-4457 ; 1473-3099
    ISSN (online) 1474-4457
    ISSN 1473-3099
    DOI 10.1016/S1473-3099(23)00454-1
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5743: 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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  5. Article ; Online: Appropriate use of antimicrobials in primary healthcare facility: a long way to go.

    Xu, Jiuyang / Cao, Bin

    Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases

    2023  Volume 29, Issue 5, Page(s) 563–564

    MeSH term(s) Humans ; Anti-Infective Agents/therapeutic use ; Anti-Bacterial Agents/therapeutic use ; Primary Health Care
    Chemical Substances Anti-Infective Agents ; Anti-Bacterial Agents
    Language English
    Publishing date 2023-02-16
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 1328418-6
    ISSN 1469-0691 ; 1470-9465 ; 1198-743X
    ISSN (online) 1469-0691
    ISSN 1470-9465 ; 1198-743X
    DOI 10.1016/j.cmi.2023.02.010
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    Zs.A 4541: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 284: Show issues

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  6. Article ; Online: Adapted vaccine strategy: facing the persistent challenges of COVID-19.

    Shang, Lianhan / Cao, Bin

    The Lancet. Infectious diseases

    2023  Volume 23, Issue 9, Page(s) 984–985

    MeSH term(s) Humans ; COVID-19/prevention & control ; COVID-19 Vaccines
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2023-06-19
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2061641-7
    ISSN 1474-4457 ; 1473-3099
    ISSN (online) 1474-4457
    ISSN 1473-3099
    DOI 10.1016/S1473-3099(23)00370-5
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5743: 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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  7. Article ; Online: Multi-Scale FC-Based Multi-Order GCN: A Novel Model for Predicting Individual Behavior From fMRI.

    Wen, Xuyun / Cao, Qumei / Jing, Bin / Zhang, Daoqiang

    IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

    2024  Volume 32, Page(s) 548–558

    Abstract: Predicting individual behavior from brain imaging data using machine learning is a rapidly growing field in neuroscience. Functional connectivity (FC), which captures interactions between different brain regions, contains valuable information about the ... ...

    Abstract Predicting individual behavior from brain imaging data using machine learning is a rapidly growing field in neuroscience. Functional connectivity (FC), which captures interactions between different brain regions, contains valuable information about the organization of the brain and is considered a crucial feature for modeling human behavior. Graph convolutional networks (GCN) have proven to be a powerful tool for extracting graph structure features and have shown promising results in various FC-based classification tasks, such as disease classification and prognosis prediction. Despite this success, few behavior prediction models currently exist based on GCN, and their performance is not satisfactory. To address this gap, a new model called the Multi-Scale FC-based Multi-Order GCN (MSFC-MO-GCN) was proposed in this paper. The model considers the hierarchical structure of the brain system and utilizes FCs inferred from multiple spatial scales as input to comprehensively characterize individual brain organization. To enhance the feature learning ability of GCN, a multi-order graph convolutional layer is incorporated, which uses multi-order neighbors to guide message passing and learns high-order graph information of nodal connections. Additionally, an inter-subject contrast constraint is designed to control the potential information redundancy of FCs among different spatial scales during the feature learning process. Experimental evaluation were conducted on the publicly available dataset from human connectome project. A total of 805 healthy subjects were included and 5 representative behavior metrics were used. The experimental results show that our proposed method outperforms the existing behavior prediction models in all behavior prediction tasks.
    MeSH term(s) Humans ; Magnetic Resonance Imaging ; Brain/diagnostic imaging ; Benchmarking ; Healthy Volunteers ; Intelligence
    Language English
    Publishing date 2024-01-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1166307-8
    ISSN 1558-0210 ; 1063-6528 ; 1534-4320
    ISSN (online) 1558-0210
    ISSN 1063-6528 ; 1534-4320
    DOI 10.1109/TNSRE.2024.3357059
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    Zs.A 4726: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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  8. Article ; Online: A solvent-controlled photoresponsive ionic hydrogen-bonded organic framework for encryption applications.

    Huang, Ming-Feng / Cao, Li-Hui / Zhou, Bin

    Chemical communications (Cambridge, England)

    2024  Volume 60, Issue 25, Page(s) 3437–3440

    Abstract: Two novel ionic hydrogen-bonded organic frameworks (iHOF-17 and iHOF-18) were obtained by integrating organosulfonic acids with amidine salts. Among them, iHOF-18 exhibits fast, reversible, and high-contrast UV-induced photochromic properties, and this ... ...

    Abstract Two novel ionic hydrogen-bonded organic frameworks (iHOF-17 and iHOF-18) were obtained by integrating organosulfonic acids with amidine salts. Among them, iHOF-18 exhibits fast, reversible, and high-contrast UV-induced photochromic properties, and this property is solvent-controlled. This work provides valuable insights for designing advanced anti-counterfeiting techniques and encryption applications.
    Language English
    Publishing date 2024-03-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472881-3
    ISSN 1364-548X ; 1359-7345 ; 0009-241X
    ISSN (online) 1364-548X
    ISSN 1359-7345 ; 0009-241X
    DOI 10.1039/d4cc00701h
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  9. Article ; Online: Authors' reply to Letter regarding "Probing Long COVID through a Proteomic Lens: a Comprehensive Two-Year Longitudinal Cohort Study of Hospitalised Survivor".

    Gu, Xiaoying / Wong, Catherine C L / Cao, Bin

    EBioMedicine

    2024  Volume 101, Page(s) 105029

    MeSH term(s) Humans ; COVID-19 ; Longitudinal Studies ; Post-Acute COVID-19 Syndrome ; Proteomics ; Cohort Studies
    Language English
    Publishing date 2024-02-21
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 2851331-9
    ISSN 2352-3964
    ISSN (online) 2352-3964
    DOI 10.1016/j.ebiom.2024.105029
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    Zs.A 7090: Show issues Location:
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  10. Article ; Online: Tough Hydrogels with Different Toughening Mechanisms and Applications.

    Xu, Zhengyu / Chen, Yanru / Cao, Yi / Xue, Bin

    International journal of molecular sciences

    2024  Volume 25, Issue 5

    Abstract: Load-bearing biological tissues, such as cartilage and muscles, exhibit several crucial properties, including high elasticity, strength, and recoverability. These characteristics enable these tissues to endure significant mechanical stresses and swiftly ... ...

    Abstract Load-bearing biological tissues, such as cartilage and muscles, exhibit several crucial properties, including high elasticity, strength, and recoverability. These characteristics enable these tissues to endure significant mechanical stresses and swiftly recover after deformation, contributing to their exceptional durability and functionality. In contrast, while hydrogels are highly biocompatible and hold promise as synthetic biomaterials, their inherent network structure often limits their ability to simultaneously possess a diverse range of superior mechanical properties. As a result, the applications of hydrogels are significantly constrained. This article delves into the design mechanisms and mechanical properties of various tough hydrogels and investigates their applications in tissue engineering, flexible electronics, and other fields. The objective is to provide insights into the fabrication and application of hydrogels with combined high strength, stretchability, toughness, and fast recovery as well as their future development directions and challenges.
    MeSH term(s) Hydrogels/chemistry ; Biocompatible Materials/chemistry ; Tissue Engineering ; Elasticity ; Cartilage
    Chemical Substances Hydrogels ; Biocompatible Materials
    Language English
    Publishing date 2024-02-26
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms25052675
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