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  1. Article ; Online: Robust lockwire segmentation with multiscale boundary-driven regional stability.

    Xie, Yanxia / Sun, Junhua

    Journal of the Optical Society of America. A, Optics, image science, and vision

    2023  Volume 40, Issue 3, Page(s) 397–410

    Abstract: Lockwire segmentation plays a vital role in ensuring mechanical safety in industrial fields. Aiming at the missed detection problem encountered in blurred and low-contrast situations, we propose a robust lockwire segmentation method based on multiscale ... ...

    Abstract Lockwire segmentation plays a vital role in ensuring mechanical safety in industrial fields. Aiming at the missed detection problem encountered in blurred and low-contrast situations, we propose a robust lockwire segmentation method based on multiscale boundary-driven regional stability. We first design a novel multiscale boundary-driven stability criterion to generate a blur-robustness stability map. Then, the curvilinear structure enhancement metric and linearity measurement function are defined to compute the likeliness of stable regions to belong to lockwires. Finally, the closed boundaries of lockwires are determined to achieve accurate segmentation. Experimental results demonstrate that our proposed method outperforms state-of-the-art object segmentation methods.
    Language English
    Publishing date 2023-05-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 283633-6
    ISSN 1520-8532 ; 1084-7529 ; 0740-3232
    ISSN (online) 1520-8532
    ISSN 1084-7529 ; 0740-3232
    DOI 10.1364/JOSAA.472215
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  2. Article ; Online: A Machine Learning Method with Hybrid Feature Selection for Improved Credit Card Fraud Detection

    Ibomoiye Domor Mienye / Yanxia Sun

    Applied Sciences, Vol 13, Iss 7254, p

    2023  Volume 7254

    Abstract: With the rapid developments in electronic commerce and digital payment technologies, credit card transactions have increased significantly. Machine learning (ML) has been vital in analyzing customer data to detect and prevent fraud. However, the presence ...

    Abstract With the rapid developments in electronic commerce and digital payment technologies, credit card transactions have increased significantly. Machine learning (ML) has been vital in analyzing customer data to detect and prevent fraud. However, the presence of redundant and irrelevant features in most real-world credit card data degrades the performance of ML classifiers. This study proposes a hybrid feature-selection technique consisting of filter and wrapper feature-selection steps to ensure that only the most relevant features are used for machine learning. The proposed method uses the information gain (IG) technique to rank the features, and the top-ranked features are fed to a genetic algorithm (GA) wrapper, which uses the extreme learning machine (ELM) as the learning algorithm. Meanwhile, the proposed GA wrapper is optimized for imbalanced classification using the geometric mean (G-mean) as the fitness function instead of the conventional accuracy metric. The proposed approach achieved a sensitivity and specificity of 0.997 and 0.994, respectively, outperforming other baseline techniques and methods in the recent literature.
    Keywords credit card ; feature selection ; fraud detection ; genetic algorithm ; machine learning ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 006
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Multi-area load frequency regulation of a stochastic renewable energy-based power system with SMES using enhanced-WOA-tuned PID controller.

    Gbadega, Peter Anuoluwapo / Sun, Yanxia

    Heliyon

    2023  Volume 9, Issue 9, Page(s) e19199

    Abstract: This paper presents a novel nature-inspired meta-heuristic optimization algorithm known as the Enhanced Whale Optimization Algorithm (EWOA), which imitates humpback whales' social behavior to solve the optimization of multi-area automatic load frequency ... ...

    Abstract This paper presents a novel nature-inspired meta-heuristic optimization algorithm known as the Enhanced Whale Optimization Algorithm (EWOA), which imitates humpback whales' social behavior to solve the optimization of multi-area automatic load frequency control (LFC) problems of a stochastic renewable energy-based power system with superconducting magnetic energy storage (SMES). An EWOA algorithm is presented in response to the limitations of the conventional WOA algorithm, including its sluggish convergence time, low accuracy, and propensity to easily enter local optimum. The system model investigated includes some physical constraints such as the time delay (TD), generation rate constraint (GRC), reheat turbine (RT), and the dead band (DB). The impacts of these physical constraints on the dynamic performance of the proposed controller were investigated. The EWOA algorithm is utilized to dynamically optimize the parameters of the PID controller for optimal system performance. The effectiveness and dynamic performance of the proposed controller are compared with the conventional WOA using some performance metrics. The system model also includes superconducting magnetic energy storage (SMES) units in both areas and their impacts on the system performances are also investigated. The effects of the changes of two different parameters of the system (frequency bias parameter, B, and the governor speed regulation, R) on the frequency deviation responses and the controller's robustness are examined. It is evident from the results that the dynamic performance of the proposed controller is better than that of the conventional WOA and it is more robust and stable to changes in system loading, parameters, and step load perturbation.
    Language English
    Publishing date 2023-08-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e19199
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  4. Article ; Online: Application of Dexmedetomidine in Epidural Labor Analgesia: A Systematic Review and Meta-Analysis on Randomized Controlled Trials.

    Zhang, Di / Sun, Yanxia / Li, Junfeng

    The Clinical journal of pain

    2024  Volume 40, Issue 1, Page(s) 57–65

    Abstract: Objectives: To summarize and appraise the use of dexmedetomidine in epidural labor analgesia, we conducted a systematic review and meta-analysis of randomized controlled trials (RCTs).: Methods: We conducted the literature search about the RCTs of ... ...

    Abstract Objectives: To summarize and appraise the use of dexmedetomidine in epidural labor analgesia, we conducted a systematic review and meta-analysis of randomized controlled trials (RCTs).
    Methods: We conducted the literature search about the RCTs of epidural labor analgesia with or without dexmedetomidine from inception until November 1, 2022, in the following databases: PubMed, Cochrane Library, and Embase. The primary outcome was visual analog scale (VAS) within 2 hours after epidural intubation. The secondary outcomes included the duration of the first and second labor stages, Apgar score, umbilical blood pH, dosage of analgesics, and side effects.
    Results: Eight RCTs including 846 parturients were included. The VAS score of the dexmedetomidine group was significantly lower than that of the control group at the time of 15 minutes (mean difference [MD] -1.41, 95% confidence interval [CI] -2.23, -0.59), 30 minutes (MD -1.02, 95% CI -1.70, -0.33), 60 minutes (MD -0.90, 95% CI -1.36, -0.44), and 90 minutes (MD -0.70, 95% CI -1.16, -0.23). The incidence of pruritus in the dexmedetomidine group was lower than that of the control group （MD 0.28, 95% CI 0.11, 0.74), but the incidence of maternal bradycardia was higher (MD 6.41, 95% CI 1.64, 25.04). There were no significant difference in other outcomes.
    Discussion: Dexmedetomidine combined with local anesthetic for epidural labor analgesia can improve the VAS score of parturients. Except for the increased incidence of maternal bradycardia, it seems to be safe for the parturients and fetuses.
    MeSH term(s) Female ; Humans ; Dexmedetomidine/therapeutic use ; Bradycardia/drug therapy ; Bradycardia/etiology ; Randomized Controlled Trials as Topic ; Analgesics ; Analgesia, Epidural/adverse effects ; Analgesia, Obstetrical/adverse effects
    Chemical Substances Dexmedetomidine (67VB76HONO) ; Analgesics
    Language English
    Publishing date 2024-01-01
    Publishing country United States
    Document type Meta-Analysis ; Systematic Review ; Journal Article
    ZDB-ID 632582-8
    ISSN 1536-5409 ; 0749-8047
    ISSN (online) 1536-5409
    ISSN 0749-8047
    DOI 10.1097/AJP.0000000000001166
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  5. Article ; Online: Identification, structure elucidation and origin of a common pyridinium-thiocyanate intermediate in electrospray mass spectrometry among the benziamidazole-class proton pump inhibitors.

    Sun, Dong / Wang, Chunyu / Fan, Yanxia / Gu, Jingkai

    Journal of pharmaceutical analysis

    2023  Volume 13, Issue 6, Page(s) 683–688

    Abstract: During the analysis of benziamidazole-class irreversible proton pump inhibitors, an unusual mass spectral response with the mass-to-charge ratio at [M+10] ...

    Abstract During the analysis of benziamidazole-class irreversible proton pump inhibitors, an unusual mass spectral response with the mass-to-charge ratio at [M+10]
    Language English
    Publishing date 2023-04-21
    Publishing country China
    Document type Journal Article
    ZDB-ID 2630174-X
    ISSN 2214-0883 ; 2095-1779
    ISSN (online) 2214-0883
    ISSN 2095-1779
    DOI 10.1016/j.jpha.2023.04.011
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  6. Article ; Online: Corrigendum to "SCARNA10 regulates p53 acetylation-dependent transcriptional activity".

    Wu, Yanxia / Sun, Yanxi / Xu, Binchu / Yang, Mo / Wang, Xingwu / Zhao, Xiaocheng

    Biochemical and biophysical research communications

    2023  Volume 683, Page(s) 149109

    Language English
    Publishing date 2023-10-18
    Publishing country United States
    Document type Published Erratum
    ZDB-ID 205723-2
    ISSN 1090-2104 ; 0006-291X ; 0006-291X
    ISSN (online) 1090-2104 ; 0006-291X
    ISSN 0006-291X
    DOI 10.1016/j.bbrc.2023.10.041
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  7. Article ; Online: Retraction Note: Silencing of CREB Inhibits HDAC2/TLR4/NF-κB Cascade to Relieve Severe Acute Pancreatitis-Induced Myocardial Injury.

    Pan, Longfei / Niu, Zequn / Gao, Yanxia / Wang, Liming / Liu, Zhong / Liu, Jie / Sun, Jiangli / Pei, Honghong

    Inflammation

    2024  

    Language English
    Publishing date 2024-02-15
    Publishing country United States
    Document type Retraction of Publication
    ZDB-ID 434408-x
    ISSN 1573-2576 ; 0360-3997
    ISSN (online) 1573-2576
    ISSN 0360-3997
    DOI 10.1007/s10753-024-01987-7
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  8. Article ; Online: Enhanced Cathode Performance: The Heterostructure Construction of LiCoO

    Leng, Yue / Dong, Shengde / Sun, Yanxia / Ma, Luxiang / Li, Jinyao / Feng, Hang / Hai, Chunxi / Zhou, Yuan

    Langmuir : the ACS journal of surfaces and colloids

    2024  Volume 40, Issue 12, Page(s) 6295–6303

    Abstract: In this study, the heterostructure cathode material ... ...

    Abstract In this study, the heterostructure cathode material LiCoO
    Language English
    Publishing date 2024-03-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2005937-1
    ISSN 1520-5827 ; 0743-7463
    ISSN (online) 1520-5827
    ISSN 0743-7463
    DOI 10.1021/acs.langmuir.3c03794
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  9. Article ; Online: In vitro antioxidant activity evaluation of pine nut peptides (

    Sun, Jiajia / Zhang, Zhi / Yang, Kexin / Wei, Gang / Li, Yanxia

    Preparative biochemistry & biotechnology

    2023  Volume 54, Issue 3, Page(s) 382–392

    Abstract: In this study, we utilized the remarkable capabilities ... ...

    Abstract In this study, we utilized the remarkable capabilities of
    MeSH term(s) Antioxidants/pharmacology ; Bacillus subtilis ; Pinus ; Nut Proteins ; Nuts ; Peptides/pharmacology
    Chemical Substances Antioxidants ; Nut Proteins ; Peptides
    Language English
    Publishing date 2023-08-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 1322522-4
    ISSN 1532-2297 ; 1082-6068
    ISSN (online) 1532-2297
    ISSN 1082-6068
    DOI 10.1080/10826068.2023.2243507
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  10. Article ; Online: Insights into the differentiation and adaptation within Circaeasteraceae from

    Sun, Yanxia / Zhang, Aidi / Zhang, Xu / Landis, Jacob B / Zhang, Huajie / Zhang, Xiujun / Sun, Hang / Wang, Hengchang

    iScience

    2023  Volume 26, Issue 3, Page(s) 106159

    Abstract: Circaeaster ... ...

    Abstract Circaeaster agrestis
    Language English
    Publishing date 2023-02-08
    Publishing country United States
    Document type Journal Article
    ISSN 2589-0042
    ISSN (online) 2589-0042
    DOI 10.1016/j.isci.2023.106159
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