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  1. Article ; Online: The Change of the Scale of China’s Shadow Banking and the Effects of Financial Deleveraging

    Liu Jialin

    SHS Web of Conferences, Vol 163, p

    2023  Volume 01017

    Abstract: This paper aims to discuss the effectiveness of financial deleveraging by observing and studying the changes in the scale of shadow banking in China. China’s shadow banking can be divived into two parts: intra-bank shadow banking and extra-bank shadow ... ...

    Abstract This paper aims to discuss the effectiveness of financial deleveraging by observing and studying the changes in the scale of shadow banking in China. China’s shadow banking can be divived into two parts: intra-bank shadow banking and extra-bank shadow banking, whose scale can be calculated by the indirect method based on the balance sheet and the direct method respectively. Through data statistics and calculations, it is concluded that the scale of shadow banking in China has slowed down since 2017 and started to decline gradually in 2018. In other words, financial deleveraging is effective.
    Keywords Social Sciences ; H
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Telemedicine and COVID-19 Pandemic: Experiences of Western China Hospital.

    Liu, Jialin / Wang, Miao / Liu, Siru

    Studies in health technology and informatics

    2024  Volume 310, Page(s) 1556–1557

    Abstract: COVID-19 has brought unprecedented challenges to the healthcare system. In response to COVID-19, hospitals can replace some routine medical services with telemedicine. At the beginning of the pandemic, West China Hospital developed a new model of ... ...

    Abstract COVID-19 has brought unprecedented challenges to the healthcare system. In response to COVID-19, hospitals can replace some routine medical services with telemedicine. At the beginning of the pandemic, West China Hospital developed a new model of telemedicine platform against COVID-19. The telemedicine platform played a critical role in fighting the pandemic in Sichuan Province and significantly improved healthcare outcomes.
    MeSH term(s) Humans ; Pandemics ; COVID-19/epidemiology ; Hospitals ; Telemedicine ; China/epidemiology
    Language English
    Publishing date 2024-01-25
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI231291
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Development of Ward Visitor Management System in the COVID-19 Epidemic.

    Bi, Yongdong / Liu, Siru / Liu, Jialin

    Studies in health technology and informatics

    2024  Volume 310, Page(s) 1081–1085

    Abstract: The purpose of this study was to design, develop, and deploy a visitor management system (VMS) to effectively manage visitors during COVID-19. The VMS was designed using the User-Centered Design (UCD) methodology. The iterative process of UCD includes 3 ... ...

    Abstract The purpose of this study was to design, develop, and deploy a visitor management system (VMS) to effectively manage visitors during COVID-19. The VMS was designed using the User-Centered Design (UCD) methodology. The iterative process of UCD includes 3 interviews and 5 usability tests and cognitive walkthrough cycles. This system comprised six parts: the WEB server provides visit scheduling service; the database server stores visit data and provides visit data services; the mobile application server provides security checks and scanning services; the electronic medical record (EMR) server provides ward data service; the Internet application gateway provides health code data service and exchanges health code data with the Sichuan Tianfu Health Code platform, and the service bus enables the centralized exchange and integration of visit data. The visit management system optimizes the workflow of ward visitors, improves staff productivity, and reduces the risk of infection transmission.
    MeSH term(s) Humans ; COVID-19/prevention & control ; Epidemics ; Databases, Factual ; Electronic Health Records ; Hospitals
    Language English
    Publishing date 2024-01-25
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI231131
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Correction: Surgical margins and prognosis of borderline and malignant phyllodes tumors.

    Su, Jialin / Liu, Shanling / Tu, Gang / Li, Fangxuan / Zhang, Jie / Gan, Lu

    Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico

    2024  

    Language English
    Publishing date 2024-02-28
    Publishing country Italy
    Document type Published Erratum
    ZDB-ID 2397359-6
    ISSN 1699-3055 ; 1699-048X
    ISSN (online) 1699-3055
    ISSN 1699-048X
    DOI 10.1007/s12094-024-03407-6
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  5. Article ; Online: Semi-supervised learning methods for weed detection in turf.

    Liu, Teng / Zhai, Danlan / He, Feiyu / Yu, Jialin

    Pest management science

    2024  

    Abstract: Background: Accurate weed detection is a prerequisite for precise automatic precision herbicide application. Previous research has adopted the laborious and time-consuming approach of manually labeling and processing large image data sets to develop ... ...

    Abstract Background: Accurate weed detection is a prerequisite for precise automatic precision herbicide application. Previous research has adopted the laborious and time-consuming approach of manually labeling and processing large image data sets to develop deep neural networks for weed detection. This research introduces a novel semi-supervised learning (SSL) approach for detecting weeds in turf. The performance of SSL was compared with that of ResNet50, a fully supervised learning (FSL) method, in detecting and differentiating sub-images containing weeds from those containing only turfgrass.
    Results: Compared with ResNet50, the evaluated SSL methods, Π-model, Mean Teacher, and FixMatch, increased the classification accuracy by 2.8%, 0.7%, and 3.9%, respectively, when only 100 labeled images per class were utilized. FixMatch was the most efficient and reliable model, as it exhibited higher accuracy (≥0.9530) and F1 scores (≥0.951) with fewer labeled data (50 per class) in the validation and testing data sets than the other neural networks evaluated.
    Conclusion: These results reveal that the SSL deep neural networks are capable of being highly accurate while requiring fewer labeled training images, thus being more time- and labor-efficient than the FSL method. © 2024 Society of Chemical Industry.
    Language English
    Publishing date 2024-01-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 2001705-4
    ISSN 1526-4998 ; 1526-498X
    ISSN (online) 1526-4998
    ISSN 1526-498X
    DOI 10.1002/ps.7959
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: miTDS: Uncovering miRNA-mRNA interactions with deep learning for functional target prediction.

    Zhang, Jialin / Zhu, Haoran / Liu, Yin / Li, Xiangtao

    Methods (San Diego, Calif.)

    2024  Volume 223, Page(s) 65–74

    Abstract: MicroRNAs (miRNAs) are vital in regulating gene expression through binding to specific target sites on messenger RNAs (mRNAs), a process closely tied to cancer pathogenesis. Identifying miRNA functional targets is essential but challenging, due to ... ...

    Abstract MicroRNAs (miRNAs) are vital in regulating gene expression through binding to specific target sites on messenger RNAs (mRNAs), a process closely tied to cancer pathogenesis. Identifying miRNA functional targets is essential but challenging, due to incomplete genome annotation and an emphasis on known miRNA-mRNA interactions, restricting predictions of unknown ones. To address those challenges, we have developed a deep learning model based on miRNA functional target identification, named miTDS, to investigate miRNA-mRNA interactions. miTDS first employs a scoring mechanism to eliminate unstable sequence pairs and then utilizes a dynamic word embedding model based on the transformer architecture, enabling a comprehensive analysis of miRNA-mRNA interaction sites by harnessing the global contextual associations of each nucleotide. On this basis, miTDS fuses extended seed alignment representations learned in the multi-scale attention mechanism module with dynamic semantic representations extracted in the RNA-based dual-path module, which can further elucidate and predict miRNA and mRNA functions and interactions. To validate the effectiveness of miTDS, we conducted a thorough comparison with state-of-the-art miRNA-mRNA functional target prediction methods. The evaluation, performed on a dataset cross-referenced with entries from MirTarbase and Diana-TarBase, revealed that miTDS surpasses current methods in accurately predicting functional targets. In addition, our model exhibited proficiency in identifying A-to-I RNA editing sites, which represents an aberrant interaction that yields valuable insights into the suppression of cancerous processes.
    MeSH term(s) MicroRNAs/genetics ; RNA, Messenger/genetics ; Deep Learning ; Nucleotides ; RNA Editing
    Chemical Substances MicroRNAs ; RNA, Messenger ; Nucleotides
    Language English
    Publishing date 2024-01-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1066584-5
    ISSN 1095-9130 ; 1046-2023
    ISSN (online) 1095-9130
    ISSN 1046-2023
    DOI 10.1016/j.ymeth.2024.01.011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3239: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (2.OG)
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  7. Article ; Online: Efficacy of maxillary molar intrusion and quantification of related external apical root resorption - A comparison of two approaches.

    Liu, Jialin / Wei, Tian / Zhao, Yang / Jiang, Chunmiao

    Orthodontics & craniofacial research

    2024  

    Abstract: Objective: This retrospective single-centre study aimed to compare the efficacy of maxillary second molar intrusion with two different approaches, miniscrew-assisted molar intrusion and traditional segmental archwire intrusion, and to compare ... ...

    Abstract Objective: This retrospective single-centre study aimed to compare the efficacy of maxillary second molar intrusion with two different approaches, miniscrew-assisted molar intrusion and traditional segmental archwire intrusion, and to compare orthodontically induced external apical root resorption (OIERR) during intrusion between two groups via cone beam computed tomography (CBCT).
    Materials and methods: A total of 40 adult patients (33.6 ± 10.3 years old) with supraerupted maxillary second molars due to the loss of antagonistic teeth were recruited, with 20 patients in each group. A segmental archwire with adjacent teeth as an anchorage was used in the control group, and 60-100 g of intrusive force was applied by using miniscrews in the experimental group to intrude the overerupted molars. Full-volume CBCT was performed before and after intrusion, and the amount of intrusion and extent of OIERR of the overerupted molars were compared between the two groups.
    Results: Supraerupted maxillary second molars could be successfully intruded in an average of 5 months. There was more intrusive movement of the buccal and palatal cusps in the mininscrew group than that in the segmental archwire group (P < .05). The intrusive amount of palatal cusp was 3.67 ± 1.13 mm in the miniscrew group and 2.38 ± 0.74 mm in the segmental archwire group. More palatal OIERR was observed in the miniscrew group (30.3 ± 11.6 mm
    Conclusion: Miniscrews help effectively with supraerupted maxillary second molar intrusion, especially for palatal cusps. There was more OIERR in the palatal root when using miniscrews compared to the segmental archwire approach.
    Language English
    Publishing date 2024-04-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 2076514-9
    ISSN 1601-6343 ; 1601-6335
    ISSN (online) 1601-6343
    ISSN 1601-6335
    DOI 10.1111/ocr.12793
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5412: Show issues Location:
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  8. Article: Rapid detection of

    Liu, Yuelin / Xiang, Jialin / Gao, Yaxin / Wang, Jinfeng / Liu, Libing / Li, Ruiwen / Wang, Jianchang

    Heliyon

    2023  Volume 9, Issue 10, Page(s) e20794

    Abstract: As a zoonotic parasite, ...

    Abstract As a zoonotic parasite,
    Language English
    Publishing date 2023-10-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e20794
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Identification of novel immune ferroptosis-related genes associated with clinical and prognostic features in breast cancer.

    Xie, Zhenlan / Li, Jialin / Liu, Chen / Zhao, Tie / Xing, Yixiang

    Frontiers in genetics

    2023  Volume 14, Page(s) 1173159

    Abstract: Introduction: ...

    Abstract Introduction:
    Language English
    Publishing date 2023-04-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2023.1173159
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: The application of Chat Generative Pre-trained Transformer in nursing education.

    Liu, Jialin / Liu, Fan / Fang, Jinbo / Liu, Siru

    Nursing outlook

    2023  Volume 71, Issue 6, Page(s) 102064

    Abstract: Background: Nursing education is critical for nurses to deliver quality health care. Incorporating AI into education can enhance the learning process and better equip nurses for their health care roles.: Purpose: This article explores the potential ... ...

    Abstract Background: Nursing education is critical for nurses to deliver quality health care. Incorporating AI into education can enhance the learning process and better equip nurses for their health care roles.
    Purpose: This article explores the potential applications and challenges of ChatGPT in nursing education.
    Methods: A comprehensive literature review was conducted to explore the potential benefits and challenges of using ChatGPT in nursing education.
    Discussion: ChatGPT, an advanced large language model, has the potential to make valuable contributions to nursing education in various ways, including personalized learning, simulation scenarios, immediate feedback, and reducing educator workload. However, it is important to address the various challenges and limitations in order to realize its full potential.
    Conclusion: Nursing educators must carefully consider the potential uses, benefits, challenges, drawbacks, and limitations of ChatGPT to make informed decisions about its integration into nursing education.
    MeSH term(s) Humans ; Education, Nursing ; Educational Status ; Faculty, Nursing ; Language ; Quality of Health Care
    Language English
    Publishing date 2023-10-23
    Publishing country United States
    Document type Review ; Journal Article
    ZDB-ID 300568-9
    ISSN 1528-3968 ; 0029-6554
    ISSN (online) 1528-3968
    ISSN 0029-6554
    DOI 10.1016/j.outlook.2023.102064
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 892: Show issues Location:
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