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  1. 22801

    Emerging Trends and Knowledge Domains of B2B Loyalty: A Scientometric Analysis by Seyed Javad Mohammadi, Abolghasem Ebrahimi, Shahrzad Tayaran, Sedighe Tootian Esfehani

    Published 2023-12-01
    “…The analysis unveiled highly cited articles, key authors, important keywords, intellectual milestones, and emerging research trends in the B2B loyalty domain. …”
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  2. 22802
  3. 22803

    Informal Caregivers Connecting on the Web: Content Analysis of Posts on Discussion Forums by Michelle L Foster, Chinenye Egwuonwu, Erin Vernon, Mohammad Alarifi, M Courtney Hughes

    Published 2025-01-01
    “…Researchers independently read all posts and coded the data. The author group discussed the codes, reiteratively refined them, and identified themes within the data. …”
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  4. 22804

    Osteoarthritis and Degree of Fatigue are Associated with Pain Levels in Patients with Fibromyalgia Syndrome: A Cross-Sectional Study of 394 Patients by Wang Z, Lan T, Zhang Y, Guo Z, Yu H, Sun G, Wang Z, Yan Z, Tao Q, Xu Y

    Published 2025-01-01
    “…Zihan Wang,1,2,* Tianyi Lan,1,2,* Yuqiao Zhang,1,2 Zijia Guo,3 Hongwei Yu,4 Guiyao Sun,5 Zhitian Wang,6 Zeran Yan,1 Qingwen Tao,1 Yuan Xu1 1Traditional Chinese Medicine Department of Rheumatism, China-Japan Friendship Hospital, Beijing, People’s Republic of China; 2Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China; 3Graduate School, Inner Mongolia Medical University, Hohhot, People’s Republic of China; 4Department of Radiology, China-Japan Friendship Hospital, Beijing, People’s Republic of China; 5Department of Orthopedics, Shuangqiao Hospital, Beijing, People’s Republic of China; 6Science Faculty, University of Auckland, Auckland, New Zealand*These authors contributed equally to this workCorrespondence: Qingwen Tao; Yuan Xu, Email taoqg1@sina.com; xuyuan2004020@163.comObjective: To observe how osteoarthritis (OA) and degree of fatigue affect are associated with pain levels in patients with fibromyalgia syndrome (FMS).Methods: A cross-sectional study was conducted involving FMS patients. …”
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  5. 22805

    Predictors and Prognostic Effects of Perioperative Myocardial Injury After Transcatheter Aortic Valve Replacement According to VARC-3 Criteria by Hu X, Zhao Z, Wang C, Feng D, Chen Y, Niu G, Zhou Z, Zhang H, Li Z, Ye Y, Wang M, Wu Y

    Published 2025-02-01
    “…Xiangming Hu,1,* Zhenyan Zhao,1,* Can Wang,1,* Dejing Feng,1 Yang Chen,2 Guannan Niu,1 Zheng Zhou,1 Hongliang Zhang,1 Zhe Li,1 Yunqing Ye,1 Moyang Wang,1 Yongjian Wu1 1Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China; 2Department of Cardiology, Peking University People’s Hospital, Beijing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Moyang Wang; Yongjian Wu, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, People’s Republic of China, Email wangmoyang1983@vip.sina.com; fuwaiwyj@163.comPurpose: The impact of periprocedural myocardial injury (PPMI) according to VARC-3 criteria in patients undergoing transcatheter aortic valve replacement (TAVR) remains unclear. …”
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  6. 22806

    30 Years of Research in Brand Personality: Mapping Knowledge and Analyzing the Thematic Structure by a Scientometrics Approach by Mohammad Rahim Esfidani, Mohsen Nazari, Shahriar Gharibzadeh, Nakisa Rezaie

    Published 2024-06-01
    “…Each article was carefully reviewed to extract relevant information such as publication year, authors, research methods, findings, and conclusions. …”
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  7. 22807

    Investigating the Use of Generative Adversarial Networks-Based Deep Learning for Reducing Motion Artifacts in Cardiac Magnetic Resonance by Ma ZP, Zhu YM, Zhang XD, Zhao YX, Zheng W, Yuan SR, Li GY, Zhang TL

    Published 2025-02-01
    “…Ze-Peng Ma,1,2,* Yue-Ming Zhu,3,* Xiao-Dan Zhang,4 Yong-Xia Zhao,1 Wei Zheng,3 Shuang-Rui Yuan,1 Gao-Yang Li,1 Tian-Le Zhang1 1Department of Radiology, Affiliated Hospital of Hebei University/ Clinical Medical College, Hebei University, Baoding, 071000, People’s Republic of China; 2Hebei Key Laboratory of Precise Imaging of inflammation Tumors, Baoding, Hebei Province, 071000, People’s Republic of China; 3College of Electronic and Information Engineering, Hebei University, Baoding, Hebei Province, 071002, People’s Republic of China; 4Department of Ultrasound, Affiliated Hospital of Hebei University, Baoding, Hebei Province, 071000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiao-Dan Zhang, Department of Ultrasound, Affiliated Hospital of Hebei University, No. 212 of Yuhua East Road, Lianchi District, Baoding, 071000, People’s Republic of China, Tel +86 17325535302, Email xiaodanzhangzxd@126.comObjective: To evaluate the effectiveness of deep learning technology based on generative adversarial networks (GANs) in reducing motion artifacts in cardiac magnetic resonance (CMR) cine sequences.Methods: The training and testing datasets consisted of 2000 and 200 pairs of clear and blurry images, respectively, acquired through simulated motion artifacts in CMR cine sequences. …”
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  8. 22808

    Identifying the educational components of technology commercialization of universities with metacombination method by Mohammad Khorasani, Hassanali Aghajani, Abdolhamid Safaei Ghadikolaee, HamidReza Fallah Lajimi

    Published 2024-11-01
    “…At the end of the research, it is suggested that the authorities, with a more detailed understanding of the underlying conditions and factors of success in technology commercialization in universities, should formulate policies and design effective implementation plans.Extended abstractIntroductionCommercialization is a process that transforms ideas, research results or inventions from the academic sector into marketable products, services and processes. …”
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  19. 22819

    Identification and Analysis of Key Immune- and Inflammation-Related Genes in Idiopathic Pulmonary Fibrosis by Tan Y, Qian B, Ma Q, Xiang K, Wang S

    Published 2025-02-01
    “…Yan Tan,1,* Baojiang Qian,1,* Qiurui Ma,2 Kun Xiang,1 Shenglan Wang1 1Department of Respiratory and Critical Care Medicine, the First People’s Hospital of Yunnan Province, Kunming, People’s Republic of China; 2Medical School of Kunming University of Science and Technolog, Kunming, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shenglan Wang, Email lhcwsl919127@163.comBackground: Studies suggest that immune and inflammation processes may be involved in the development of idiopathic pulmonary fibrosis (IPF); however, their roles remain unclear. …”
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