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  1. 4741

    DEEP LEARNING-BASED SUPER-RESOLUTION TECHNIQUES: A COMPARATIVE ANALYSIS WITH RECENT INSIGHTS by Renuka Sambhaji Sindge, Maitreyee Dutta, Jagriti Saini

    Published 2025-03-01
    “…However, DL-based super-resolution methods have outperformed the competition due to their efficient mapping and feature extraction abilities. This study strives to provide details of significant progress in DL-based SR approaches based on single and multiple input frames. …”
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    Article
  2. 4742

    Continuous Short-Term Pain Assessment in Temporomandibular Joint Therapy Using LSTM Models Supported by Heat-Induced Pain Data Patterns by Aleksandra Badura, Maria Bienkowska, Andrzej Mysliwiec, Ewa Pietka

    Published 2024-01-01
    “…Significant differences are found between EDA features extracted from experimental and clinical datasets in pain and no pain events. …”
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  3. 4743

    Urinary Elimination of Bile Acid Glucuronides under Severe Cholestatic Situations: Contribution of Hepatic and Renal Glucuronidation Reactions by Martin Perreault, Ewa Wunsch, Andrzej Białek, Jocelyn Trottier, Mélanie Verreault, Patrick Caron, Guy G. Poirier, Piotr Milkiewicz, Olivier Barbier

    Published 2018-01-01
    “…The similar BA-glucuronidating abilities of hepatic and renal extracts suggest that both the liver and kidney may contribute to the urine BA-G pool.…”
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  4. 4744
  5. 4745

    Exploring Condition-Specific Variability in the Ureteral Stent Microbiome by Ava Mousavi, Karan N. Thaker, James E. Ackerman, Niccole Diaz, Rick Martin, Craig D. Tipton, Nick Tallman, Lina Marcella Henao, Nima Nassiri, Jeffrey Veale, Anne Lenore Ackerman, Kymora B. Scotland

    Published 2024-10-01
    “…Our objective was to characterize these microbiomes in order to inform urological health practice and help prevent ureteral stent-associated infections. (2) Methods: Stents were collected from kidney stone and renal transplant recipients undergoing routine cystoscopic stent removal. Microbial DNA was extracted from stents and analyzed using 16S Next Generation Sequencing. …”
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    Article
  6. 4746

    Effect of family doctor contract services on non-communicable disease management among the elderly: a systematic review and meta-analysis by Rong Wu, Fei Fei, Tingting Lu, Jing Zhu, Jing Zhu, Dan Hu, Dan Hu

    Published 2025-03-01
    “…Relevant randomized controlled studies (RCTs) were extracted from seven databases: PubMed, Coherence, Embase, Web of Science, CNKI, Wanfang Data, and WeiPu. …”
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  7. 4747

    Unraveling Reduction Mechanisms from Np(Ⅵ) to Np(Ⅴ) by Acetaldoxime by LI Xiaobo1, 2, ZHANG Meng1, , WU Qunyan2, , SHI Weiqun2

    Published 2025-01-01
    “…The separation of neptunium (Np) from spent nuclear fuel was accomplished by availably changing the oxidation state of Np from +Ⅵ to +Ⅴ during the plutonium uranium reduction extraction (Purex) process. Therefore, a lot of salt-free reductants were explored experimentally, including hydroxylamine, hydroxamic acid, aldehydes, hydrazine, oxime, and their derivatives. …”
    Article
  8. 4748

    CNN Issues in Skin Lesion Classification: Data Distribution and Quantity by Giuliana Ramella, Luca Serino

    Published 2025-01-01
    “…To mitigate this, we also randomly extracted a balanced image subset from ISIC 2018 for evaluation purposes. …”
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    Article
  9. 4749

    Psychometric characteristics of the Chinese version of the patient participation scale by Yanan Wang, Tingting Lu, Chen Zheng, Huijun Zhang

    Published 2025-07-01
    “…The content validity index (S-CVI/AVE) was 0.952, and four factors were extracted from the exploratory factor analysis. In confirmatory factor analysis, the fit indices were as follows: χ2/df=1.591, Root Mean Square Error of Approximation (RMSEA) = 0.050, Goodness of Fit Index (GFI) = 0.902, Incremental Fit Index (IFI) = 0.965, and Comparative Fit Index (CFI) = 0.946. …”
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  10. 4750

    An improved chilli pepper flower detection approach based on YOLOv8 by Zhi-Yong Wang, Cui-Ping Zhang

    Published 2025-05-01
    “…To begin, the CBAM structure that incorporates edge information is integrated into Backbone to expand the feature extraction receptive field and facilitate the learning of long-distance dependency. …”
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  11. 4751

    Toward Causal and Evidential Open-Set Temporal Action Detection by Zhuoyao Wang, Rui-Wei Zhao, Rui Feng, Cheng Jin

    Published 2025-01-01
    “…It accomplishes expressive video feature pyramid extraction, discriminative causal action feature representation learning, and reliable EDL-based prediction uncertainty estimation with our tailored network architectures and modified loss functions. …”
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    Article
  12. 4752

    Integrating multimodal imaging and peritumoral features for enhanced prostate cancer diagnosis: A machine learning approach. by Huadi Zhou, Mei Xie, Hemiao Shi, Chenhan Shou, Meng Tang, Yue Zhang, Yue Hu, Xiao Liu

    Published 2025-01-01
    “…Radiomic features from both the tumor and peritumoral regions were extracted, and a random forest model was used to select the most contributive features for classification. …”
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  13. 4753

    Genome Analysis and In Vitro Assay of Probiotic Properties of <i>Bacillus paranthracis</i> YC03 with Urate-Lowering Potential by Xiaoyu Cao, Yu Zhang, Qianqian Xu, Hai Yan

    Published 2025-03-01
    “…Meanwhile, the cell-free extracts of YC03 were also found to catalyze and remove inosine and guanosine. …”
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  14. 4754

    Children with HIV: A scoping review of auditory processing skills. by Gouwa Dawood, Daleen Klop, Elrietha Olivier, Haley Elliott, Mershen Pillay

    Published 2019-01-01
    “…Two researchers reviewed the articles and extracted data on sample descriptors, auditory processing testing procedures, and auditory processing skills. …”
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  15. 4755

    Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection by Sofia Biju Francis, Sofia Biju Francis, Jai Prakash Verma

    Published 2025-01-01
    “…Alzheimer's disease leads to a rapid and irreversible decline in cognitive abilities by damaging memory cells.MethodsA ResNet-18-based system is proposed, integrating Depth Convolution with a Squeeze and Excitation (SE) block to minimize tuning parameters. …”
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  16. 4756

    Motor imagery decoding network with multisubject dynamic transfer by Zhi Li, Mingai Li, Yufei Yang

    Published 2025-08-01
    “…Subsequently, the shallow spatial-temporal features are extracted using a spatial-temporal convolution block. …”
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  17. 4757

    Emergency and Disaster Preparedness in Nurses: A Concept Analysis by SeyedehNegar Pourvakhshoori, Hamid Reza Khankeh, Farahnaz Mohammadi

    Published 2017-04-01
    “…Conclusion: According to the present study, disaster preparedness in nurses refers to the knowledge, skills, abilities and comprehensive functions required for responding to natural or man-made events and disasters. …”
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  18. 4758

    Network meta-analysis of treatments for perineal extramammary paget's disease: Focusing on performance of recurrence prevention. by Xiaobin Yuan, Ruizhi Xue, Xiaoming Cao

    Published 2023-01-01
    “…After screening by inclusion and exclusion criteria, we extracted the data relevant to recurrence rate, and conducted network meta-analysis (NMA) by using Bayesian random-effects approach.…”
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  19. 4759

    Development of Machine Learning Models to Categorize Life Satisfaction in Older Adults in Korea by Suyeong Bae, Mi Jung Lee, Ickpyo Hong

    Published 2025-03-01
    “…Objectives This study aimed to identify factors associated with life satisfaction by developing machine learning (ML) models to predict life satisfaction in older adults living alone. Methods Data were extracted from 3112 older adults participating in the 2020 Korea Senior Survey. …”
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  20. 4760

    Functional Assessments Used by Occupational Therapists with Older Adults at Risk of Activity and Participation Limitations: A Systematic Review. by Kylie Wales, Lindy Clemson, Natasha Lannin, Ian Cameron

    Published 2016-01-01
    “…Two authors screened and extracted data independently. A second search then identified papers investigating measurement properties of each assessment. …”
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