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  1. Article ; Online: A case report on the treatment of chronic gastritis and hiccups using integrated auricular points manipulation technique.

    Huang, Yan-Ping

    Asian journal of surgery

    2023  Volume 46, Issue 12, Page(s) 6075–6076

    MeSH term(s) Humans ; Hiccup/etiology ; Hiccup/therapy ; Gastritis, Atrophic
    Language English
    Publishing date 2023-09-28
    Publishing country Netherlands
    Document type Case Reports ; Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2023.09.069
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Enhancing Person Re-Identification Performance Through In Vivo Learning.

    Huang, Yan / Huang, Yan / Zhang, Zhang / Wu, Qiang / Zhong, Yi / Wang, Liang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

    2024  Volume 33, Page(s) 639–654

    Abstract: This research investigates the potential of in vivo learning to enhance visual representation learning for image-based person re-identification (re-ID). Compared to traditional self-supervised learning (which require external data), the introduced in ... ...

    Abstract This research investigates the potential of in vivo learning to enhance visual representation learning for image-based person re-identification (re-ID). Compared to traditional self-supervised learning (which require external data), the introduced in vivo learning utilizes supervisory labels generated from pedestrian images to improve re-ID accuracy without relying on external data sources. Three carefully designed in vivo learning tasks, leveraging statistical regularities within images, are proposed without the need for laborious manual annotations. These tasks enable feature extractors to learn more comprehensive and discriminative person representations by jointly modeling various aspects of human biological structure information, contributing to enhanced re-ID performance. Notably, the method seamlessly integrates with existing re-ID frameworks, requiring minimal modifications and no additional data beyond the existing training set. Extensive experiments on diverse datasets, including Market1501, CUHK03-NP, Celeb-reID, Celeb-reid-light, PRCC, and LTCC, demonstrate substantial enhancements in rank-1 precision compared to state-of-the-art methods.
    MeSH term(s) Humans ; Pedestrians ; Machine Learning
    Language English
    Publishing date 2024-01-10
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0042
    ISSN (online) 1941-0042
    DOI 10.1109/TIP.2023.3341762
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Meta Clothing Status Calibration for Long-Term Person Re-Identification.

    Huang, Yan / Wu, Qiang / Zhang, Zhang / Shan, Caifeng / Huang, Yan / Zhong, Yi / Wang, Liang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

    2024  Volume 33, Page(s) 2334–2346

    Abstract: Recent studies have seen significant advancements in the field of long-term person re-identification (LT-reID) through the use of clothing-irrelevant or insensitive features. This work takes the field a step further by addressing a previously unexplored ... ...

    Abstract Recent studies have seen significant advancements in the field of long-term person re-identification (LT-reID) through the use of clothing-irrelevant or insensitive features. This work takes the field a step further by addressing a previously unexplored issue, the Clothing Status Distribution Shift (CSDS). CSDS refers to the differing ratios of samples with clothing changes to those without clothing changes between the training and test sets, leading to a decline in LT-reID performance. We establish a connection between the performance of LT-reID and CSDS, and argue that addressing CSDS can improve LT-reID performance. To that end, we propose a novel framework called Meta Clothing Status Calibration (MCSC), which uses meta-learning to optimize the LT-reID model. Specifically, MCSC simulates CSDS between meta-train and meta-test with meta-optimization objectives, optimizing the LT-reID model and making it robust to CSDS. This framework is designed to prevent overfitting and improve the generalization ability of the LT-reID model in the presence of CSDS. Comprehensive evaluations on seven datasets demonstrate that the proposed MCSC framework effectively handles CSDS and improves current state-of-the-art LT-reID methods on several LT-reID benchmarks.
    Language English
    Publishing date 2024-03-25
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0042
    ISSN (online) 1941-0042
    DOI 10.1109/TIP.2024.3374634
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Computation Offloading and User-Clustering Game in Multi-Channel Cellular Networks for Mobile Edge Computing.

    Huang, Yan-Yun / Wang, Pi-Chung

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 3

    Abstract: Mobile devices may use mobile edge computing to improve energy efficiency and responsiveness by offloading computation tasks to edge servers. However, the transmissions of mobile devices may result in interference that decreases the upload rate and ... ...

    Abstract Mobile devices may use mobile edge computing to improve energy efficiency and responsiveness by offloading computation tasks to edge servers. However, the transmissions of mobile devices may result in interference that decreases the upload rate and prolongs transmission delay. Clustering has been shown as an effective approach to improve the transmission efficiency for dense devices, but there is no distributed algorithm for the optimization of clustering and computation offloading. In this work, we study the optimization problem of computation offloading to minimize the energy consumption of mobile devices in mobile edge computing by adaptively clustering devices to improve the transmission efficiency. To address the optimization problem in a distributed manner, the decision problem of clustering and computation offloading for mobile devices is formulated as a potential game. We introduce the construction of the potential game and show the existence of Nash equilibrium in the game with a finite enhancement ability. Then, we propose a distributed algorithm of clustering and computation offloading based on game theory. We conducted a simulation to evaluate the proposed algorithm. The numerical results from our simulation show that our algorithm can improve offloading efficiency for mobile devices in mobile edge computing by improving transmission efficiency. By offloading more tasks to edge servers, both the energy efficiency of mobile devices and the responsiveness of computation-intensive applications can be improved simultaneously.
    Language English
    Publishing date 2023-01-19
    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/s23031155
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Genetic control of meiosis surveillance mechanisms in mammals.

    Huang, Yan / Roig, Ignasi

    Frontiers in cell and developmental biology

    2023  Volume 11, Page(s) 1127440

    Abstract: Meiosis is a specialized cell division that generates haploid gametes and is critical for successful sexual reproduction. During the extended meiotic prophase I, homologous chromosomes progressively pair, synapse and desynapse. These chromosomal dynamics ...

    Abstract Meiosis is a specialized cell division that generates haploid gametes and is critical for successful sexual reproduction. During the extended meiotic prophase I, homologous chromosomes progressively pair, synapse and desynapse. These chromosomal dynamics are tightly integrated with meiotic recombination (MR), during which programmed DNA double-strand breaks (DSBs) are formed and subsequently repaired. Consequently, parental chromosome arms reciprocally exchange, ultimately ensuring accurate homolog segregation and genetic diversity in the offspring. Surveillance mechanisms carefully monitor the MR and homologous chromosome synapsis during meiotic prophase I to avoid producing aberrant chromosomes and defective gametes. Errors in these critical processes would lead to aneuploidy and/or genetic instability. Studies of mutation in mouse models, coupled with advances in genomic technologies, lead us to more clearly understand how meiosis is controlled and how meiotic errors are linked to mammalian infertility. Here, we review the genetic regulations of these major meiotic events in mice and highlight our current understanding of their surveillance mechanisms. Furthermore, we summarize meiotic prophase genes, the mutations that activate the surveillance system leading to meiotic prophase arrest in mouse models, and their corresponding genetic variants identified in human infertile patients. Finally, we discuss their value for the diagnosis of causes of meiosis-based infertility in humans.
    Language English
    Publishing date 2023-02-23
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2737824-X
    ISSN 2296-634X
    ISSN 2296-634X
    DOI 10.3389/fcell.2023.1127440
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Biomolecule-Based Coacervates with Modulated Physiological Functions.

    Huang, Yan / Huang, Xin

    Langmuir : the ACS journal of surfaces and colloids

    2023  Volume 39, Issue 26, Page(s) 8941–8951

    Abstract: Liquid-liquid phase separation (LLPS) exists widely in living systems, and understanding the working mechanisms of the formed condensed droplets is of great significance for the prevention and treatment of diseases as well as for the development of ... ...

    Abstract Liquid-liquid phase separation (LLPS) exists widely in living systems, and understanding the working mechanisms of the formed condensed droplets is of great significance for the prevention and treatment of diseases as well as for the development of biomimetic materials. Herein, in this Perspective we try to focus on the
    Language English
    Publishing date 2023-06-20
    Publishing country United States
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2005937-1
    ISSN 1520-5827 ; 0743-7463
    ISSN (online) 1520-5827
    ISSN 0743-7463
    DOI 10.1021/acs.langmuir.3c00628
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The Biochemical Characteristics in Experimental Keratomycosis.

    Dong, Chenghuan / Huang, Yan

    Current eye research

    2023  Volume 48, Issue 8, Page(s) 691–698

    Abstract: Purpose: To investigate the biochemical characteristics in experimental keratomycosis.: Methods: Experimental mice were injected with : Results: Raman Spectroscopy: In the experimental group, collagen, lipids, amide I and III were decreased, amide ...

    Abstract Purpose: To investigate the biochemical characteristics in experimental keratomycosis.
    Methods: Experimental mice were injected with
    Results: Raman Spectroscopy: In the experimental group, collagen, lipids, amide I and III were decreased, amide II, hyper proline amino acids, and arginine were increased, and proline and phenylalanine were significantly increased on day 3. Histopathology: more severe keratomycosis developed in the experimental group than in the control group. Statistically significant mRNA expression of Collagen4\MMP2\MMP9\TIMP1.MMP9 was negatively correlated with the secretion of Collagen4.
    Conclusions: Matrix metalloproteinases are involved in biochemical changes in keratomycosis.
    MeSH term(s) Mice ; Animals ; Matrix Metalloproteinase 9/genetics ; Corneal Ulcer ; Eye Infections, Fungal/metabolism ; RNA, Messenger/genetics ; RNA, Messenger/metabolism ; Amides ; Proline
    Chemical Substances Matrix Metalloproteinase 9 (EC 3.4.24.35) ; RNA, Messenger ; Amides ; Proline (9DLQ4CIU6V)
    Language English
    Publishing date 2023-06-07
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 82079-9
    ISSN 1460-2202 ; 0271-3683
    ISSN (online) 1460-2202
    ISSN 0271-3683
    DOI 10.1080/02713683.2023.2199448
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Comparing the effects of simple and refutational narratives in misinformation correction: The moderating roles of correction placement and issue involvement.

    Wang, Weirui / Huang, Yan

    Public understanding of science (Bristol, England)

    2023  Volume 32, Issue 8, Page(s) 985–1002

    Abstract: The study examines whether adding a refutational ending to narrative messages improves correction effectiveness and how the effect differs depending on whether the correction message is presented before or after exposure to misinformation. A 2 (narrative ...

    Abstract The study examines whether adding a refutational ending to narrative messages improves correction effectiveness and how the effect differs depending on whether the correction message is presented before or after exposure to misinformation. A 2 (narrative format: simple vs refutational narrative) × 2 (correction placement: prebunking vs debunking) between-subjects online experiment (
    MeSH term(s) Humans ; Communication ; Narration ; Papillomavirus Vaccines
    Chemical Substances Papillomavirus Vaccines
    Language English
    Publishing date 2023-05-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 1421272-9
    ISSN 1361-6609 ; 0963-6625
    ISSN (online) 1361-6609
    ISSN 0963-6625
    DOI 10.1177/09636625231168995
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: [Establishment of Decision Tree Prediction Model for Risk Factors of Placenta Accreta Spectrum Disorders].

    Tan, Li-Shu / Huang, Yan

    Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition

    2023  Volume 54, Issue 2, Page(s) 400–405

    Abstract: Objective: To analyze the risk factors for placenta accreta spectrum (PAS) disorders and to construct preliminarily a decision tree prediction model for PAS, to help identify high-risk populations, and to provide reference for clinical prevention and ... ...

    Abstract Objective: To analyze the risk factors for placenta accreta spectrum (PAS) disorders and to construct preliminarily a decision tree prediction model for PAS, to help identify high-risk populations, and to provide reference for clinical prevention and treatment.
    Methods: By accessing the electronic medical record system, we retrospectively analyzed the relevant data of 2022 women who gave birth between January 2020 and September 2020 in a hospital in Chengdu. Univariate logistic regression and multivariate logistic regression were conducted to analyze the risk factors of PAS. SPSS Clementine12.0 was used to make preliminary exploration for the decision tree prediction model of PAS risk factors.
    Results: Results of logistic regression suggested that the top three risk factors for PAS included the following, the risk of PAS in pregnant women with placenta previa was 8.00 times that in pregnant women without placenta previa (95%
    Conclusion: The decision tree prediction model can be used for rapid and easy screening of patients at high risk for PAS, so that the likelihood of PAS can be actively and dynamically assessed and individualized preventive measures can be taken to avoid adverse outcomes.
    MeSH term(s) Pregnancy ; Female ; Humans ; Placenta Accreta/epidemiology ; Placenta Previa/epidemiology ; Retrospective Studies ; Risk Factors ; Decision Trees ; Placenta
    Language Chinese
    Publishing date 2023-03-22
    Publishing country China
    Document type English Abstract ; Journal Article
    ZDB-ID 2106840-9
    ISSN 1672-173X
    ISSN 1672-173X
    DOI 10.12182/20230260307
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Annual progress of clinical research on targeted therapy for nonsmall cell lung cancer in 2022.

    Huang, Yan / Zhang, Li

    Cancer innovation

    2023  Volume 2, Issue 1, Page(s) 25–35

    Abstract: With the rapid development of lung cancer molecular detection and precision therapy, targeted therapy has covered the entire process of diagnosis and treatment of nonsmall cell lung cancer patients. Overall mortality from lung cancer has decreased ... ...

    Abstract With the rapid development of lung cancer molecular detection and precision therapy, targeted therapy has covered the entire process of diagnosis and treatment of nonsmall cell lung cancer patients. Overall mortality from lung cancer has decreased significantly over the past 20 years, especially since the introduction of targeted drugs in 2013. In 2022, targeted therapy for lung cancer has developed rapidly. The optimization of treatment modes and the exploration of new target drugs such as antibody-drug conjugates will broaden the selection range of nonsmall cell lung cancer patients with positive driver genes. This article reviews the latest advances in targeted therapy for driver gene-positive lung cancer in 2022.
    Language English
    Publishing date 2023-03-01
    Publishing country England
    Document type Journal Article ; Review
    ISSN 2770-9183
    ISSN (online) 2770-9183
    DOI 10.1002/cai2.56
    Database MEDical Literature Analysis and Retrieval System OnLINE

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