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  1. Article: Multimodal evaluation of arrhythmogenic right ventricular cardiomyopathy with thrombus: a case description.

    Xia, Chengjun / Xu, Jing / Xu, Hui

    Quantitative imaging in medicine and surgery

    2023  Volume 13, Issue 8, Page(s) 5463–5467

    Language English
    Publishing date 2023-07-04
    Publishing country China
    Document type Journal Article
    ZDB-ID 2653586-5
    ISSN 2223-4306 ; 2223-4292
    ISSN (online) 2223-4306
    ISSN 2223-4292
    DOI 10.21037/qims-22-1358
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Stabilized four-electron aqueous zinc-iodine batteries by quaternary ammonium complexation.

    Jiang, Pengjie / Du, Qijun / Lei, Chengjun / Xu, Chen / Liu, Tingting / He, Xin / Liang, Xiao

    Chemical science

    2024  Volume 15, Issue 9, Page(s) 3357–3364

    Abstract: Four-electron aqueous zinc-iodine batteries (4eZIBs) leveraging the ... ...

    Abstract Four-electron aqueous zinc-iodine batteries (4eZIBs) leveraging the I
    Language English
    Publishing date 2024-01-31
    Publishing country England
    Document type Journal Article
    ZDB-ID 2559110-1
    ISSN 2041-6539 ; 2041-6520
    ISSN (online) 2041-6539
    ISSN 2041-6520
    DOI 10.1039/d3sc06155h
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Practical four-electron zinc-iodine aqueous batteries enabled by orbital hybridization induced adsorption-catalysis.

    Liu, Tingting / Lei, Chengjun / Wang, Huijian / Xu, Chen / Ma, Wenjiao / He, Xin / Liang, Xiao

    Science bulletin

    2024  

    Abstract: The successive ... ...

    Abstract The successive I
    Language English
    Publishing date 2024-02-13
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2816140-3
    ISSN 2095-9281 ; 2095-9273
    ISSN (online) 2095-9281
    ISSN 2095-9273
    DOI 10.1016/j.scib.2024.02.014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Dual sulfur defect engineering of Z-scheme heterojunction on Ag-CdS

    Xu, Yandong / Liao, Jianjun / Zhang, Linlin / Sun, Zihan / Ge, Chengjun

    Journal of colloid and interface science

    2023  Volume 647, Page(s) 446–455

    Abstract: Photocatalytic production of hydrogen peroxide ( ... ...

    Abstract Photocatalytic production of hydrogen peroxide (H
    Language English
    Publishing date 2023-05-22
    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.2023.05.140
    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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  5. Article: Cross-talk of Three Molecular Subtypes of Telomere Maintenance Defines Clinical Characteristics and Tumor Microenvironment in Gastric Cancer.

    Yan, Mengpei / Zhang, Zhijun / Wang, Luyao / Huang, Hongxin / Wang, Jihuan / Zhu, Chengjun / Li, Zheng / Xu, Zekuan

    Journal of Cancer

    2024  Volume 15, Issue 10, Page(s) 3227–3241

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2024-04-15
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 2573318-7
    ISSN 1837-9664
    ISSN 1837-9664
    DOI 10.7150/jca.92207
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Local Fiscal Pressure and Public Health

    Xu Zhang / Tianchu Feng / Chengjun Wang / Chaozhu Li

    International Journal of Environmental Research and Public Health, Vol 20, Iss 5126, p

    Evidence from China

    2023  Volume 5126

    Abstract: Under the dual challenges of global downward economic pressure and the COVID-19 pandemic, studying the impact of local government fiscal pressure on public health is a meaningful endeavor. First, this paper analyzes the impact of local government fiscal ... ...

    Abstract Under the dual challenges of global downward economic pressure and the COVID-19 pandemic, studying the impact of local government fiscal pressure on public health is a meaningful endeavor. First, this paper analyzes the impact of local government fiscal pressure on public health and clarifies its impact mechanisms. Second, by utilizing panel data of 31 Chinese provinces from 2000 to 2020, two-way fixed-effects and mediating-effects models are developed to identify the effects and impact mechanisms of local government fiscal pressure on public health. The results show that local government fiscal pressure can be detrimental to public health through three main mechanisms: reducing public health fiscal expenditures, hindering industrial structure upgrading, and exacerbating environmental pollution. Heterogeneity analysis finds that the negative effects of local government fiscal pressure on public health mainly exist in Central and Western China. Accordingly, three policy implications are proposed: optimizing the fiscal system, accelerating industrial upgrading, and improving the appraisal system of local officers.
    Keywords local fiscal pressure ; public health ; public health expenditure ; industrial updating ; environmental pollution ; Medicine ; R
    Subject code 336 ; 306
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    Inter-library loan at ZB MED

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  7. Article ; Online: Scene Classification Based on Heterogeneous Features of Multi-Source Data

    Chengjun Xu / Jingqian Shu / Guobin Zhu

    Remote Sensing, Vol 15, Iss 325, p

    2023  Volume 325

    Abstract: Remote sensing scene classification is quite important in earth observation and other fields. Previous research has found that most of the existing models are based on deep learning models. However, the classification accuracy of the deep learning model ... ...

    Abstract Remote sensing scene classification is quite important in earth observation and other fields. Previous research has found that most of the existing models are based on deep learning models. However, the classification accuracy of the deep learning model is difficult to break through due to the challenges of difficulty distinguishing the socio-economic attributes of scenes, high interclass similarity, and large intraclass differences. To tackle the challenges, we propose a novel scene classification model that integrates heterogeneous features of multi-source data. Firstly, a multi-granularity feature learning module is designed, which can conduct uniform grid sampling of images to learn multi-granularity features. In this module, in addition to the features of our previous research, we also supplemented the socio-economic semantic features of the scene, and attention-based pooling is introduced to achieve different levels of representation of images. Then, to reduce the dimension of the feature, we adopt the feature-level fusion method. Next, the maxout-based module is designed to fuse the features of different granularity and extract the most distinguishing second-order latent ontology essence features. The weighted adaptive fusion method is used to fuse all the features. Finally, the Lie Group Fisher algorithm is used for scene classification. Extensive experimentation and evaluations show that our proposed model can find better solutions to the above challenges.
    Keywords attention-based pooling ; heterogeneous feature extraction ; Lie Group ; multi-level fusion ; scene classification ; Science ; Q
    Subject code 004
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    Inter-library loan at ZB MED

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  8. Article ; Online: Multi-Feature Dynamic Fusion Cross-Domain Scene Classification Model Based on Lie Group Space

    Chengjun Xu / Jingqian Shu / Guobin Zhu

    Remote Sensing, Vol 15, Iss 4790, p

    2023  Volume 4790

    Abstract: To address the problem of the expensive and time-consuming annotation of high-resolution remote sensing images (HRRSIs), scholars have proposed cross-domain scene classification models, which can utilize learned knowledge to classify unlabeled data ... ...

    Abstract To address the problem of the expensive and time-consuming annotation of high-resolution remote sensing images (HRRSIs), scholars have proposed cross-domain scene classification models, which can utilize learned knowledge to classify unlabeled data samples. Due to the significant distribution difference between a source domain (training sample set) and a target domain (test sample set), scholars have proposed domain adaptation models based on deep learning to reduce the above differences. However, the existing models have the following shortcomings: (1) insufficient learning of feature information, resulting in feature loss and restricting the spatial extent of domain-invariant features; (2) models easily focus on background feature information, resulting in negative transfer; (3) the relationship between the marginal distribution and the conditional distribution is not fully considered, and the weight parameters between them are manually set, which is time-consuming and may fall into local optimum. To address the above problems, this study proposes a novel remote sensing cross-domain scene classification model based on Lie group spatial attention and adaptive multi-feature distribution. Concretely, the model first introduces Lie group feature learning and maps the samples to the Lie group manifold space. By learning features of different levels and different scales and feature fusion, richer features are obtained, and the spatial scope of domain-invariant features is expanded. In addition, we also design an attention mechanism based on dynamic feature fusion alignment, which effectively enhances the weight of key regions and dynamically balances the importance between marginal and conditional distributions. Extensive experiments are conducted on three publicly available and challenging datasets, and the experimental results show the advantages of our proposed method over other state-of-the-art deep domain adaptation methods.
    Keywords cross-domain scene classification ; domain adaptation ; Lie group spatial attention mechanism ; remote sensing ; Science ; Q
    Subject code 004
    Language English
    Publishing date 2023-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: Cutaneous leukocytoklastic vasculitis in a patient with ankylosing spondylitis: A case report.

    Xing, Yida / Zhuang, Chengjun / Yu, Qian / Liu, Changyan / Xu, Mingxi / Zhao, Lin / Kong, Xiaodan

    Heliyon

    2024  Volume 10, Issue 6, Page(s) e28134

    Abstract: Extra-articular manifestations (EAMs) in ankylosing spondylitis (AS) are common and most extra-articular manifestations such as acute iritis and inflammatory bowel disease are positively correlated with disease activity of AS. Vasculitis is an extra- ... ...

    Abstract Extra-articular manifestations (EAMs) in ankylosing spondylitis (AS) are common and most extra-articular manifestations such as acute iritis and inflammatory bowel disease are positively correlated with disease activity of AS. Vasculitis is an extra-articular manifestation of AS. However cutaneous leukocytoclastic vasculitis (CLV) is uncommon in AS patients. In this article, we report a case of a 66-year-old female patient who has had AS for long time. Although the patient's articular manifestations were stable, the aortic aneurysm and CLV continued to occur sequentially. This article reminds clinicians that even AS patients with stable articular manifestations should be followed up regularly. All extra-articular manifestations of AS patients should be taken seriously and treated as soon as possible under the guidance of rheumatoid immunologists.
    Language English
    Publishing date 2024-03-13
    Publishing country England
    Document type Case Reports
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e28134
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Rocking-Chair Aqueous Fluoride-Ion Batteries Enabled by Hydrogen Bonding Competition.

    Wang, Huijian / Lei, Chengjun / Liu, Tingting / Xu, Chen / He, Xin / Liang, Xiao

    Angewandte Chemie (International ed. in English)

    2024  Volume 63, Issue 19, Page(s) e202401483

    Abstract: Aqueous fluoride ion batteries (FIBs) have garnered attention for their high theoretical energy density, yet they are challenged by sluggish fluorination kinetics, active material dissolution, and electrolyte instability. Here, we present a room ... ...

    Abstract Aqueous fluoride ion batteries (FIBs) have garnered attention for their high theoretical energy density, yet they are challenged by sluggish fluorination kinetics, active material dissolution, and electrolyte instability. Here, we present a room temperature rocking-chair aqueous FIBs featuring KOAc-KF binary salt electrolytes, enabling concurrent fluorination and defluorination reactions at both cathode and anode electrodes. Experimental and theoretical results reveal that acetate ions in the electrolyte compete with fluoride ions in hydrogen bonding formation, weakening the excessively strong solvation between H
    Language English
    Publishing date 2024-04-08
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2011836-3
    ISSN 1521-3773 ; 1433-7851
    ISSN (online) 1521-3773
    ISSN 1433-7851
    DOI 10.1002/anie.202401483
    Database MEDical Literature Analysis and Retrieval System OnLINE

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