Digital Health Technology Interventions for Improving Medication Safety: Systematic Review of Economic Evaluations by Widya Norma Insani, Neily Zakiyah, Irma Melyani Puspitasari, Muhammad Yorga Permana, Kankan Parmikanti, Endang Rusyaman, Auliya Abdurrohim Suwantika

“…MethodsA systematic search was conducted across 3 major electronic databases (ie, PubMed, Scopus, and EBSCOhost). …”
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Prevalence and spatial distribution of workplace violence against emergency medical staff in China: a cross-sectional study by Ruofan ZHANG, Jing FENG, Ge QU, Xinyan LI, Zihui LEI, Yuchao SUN, Aoqi SHEN, Chuanzhu LV, Xingyue SONG, Yong GAN

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« Pas de retour à nos maisons sans satisfaction de nos revendications ». Le Hirak du Rif en actes face au Makhzen by Ahmed Chapi

“…It draws on various sources (semi-structured interviews, observations, video corpus, digital traces, and electronic press) collected as part of an ongoing doctoral dissertation. …”
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Novel anthropometric indices are superior adiposity indexes to portend visual impairment in middle-aged and older Chinese population by Qing Chen, Yanan Hou, Yifan Zhou, Jianfeng Luo, KaiweiSa Abuduxukuer, Chuchu Wang, Jialong Dong, Yiting Wang, Wenming Shi, Fei Shi, Qing Peng

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An electrolyte-gated transistor for the monitoring of a CRISPR/Cas activity by Pierre Guermonprez, Le Tu Anh, Louis Renaud, Pierre Nioche, Eric Krejci, Aurélie Alleaume-Butaux, Nicolas Battaglini, Vu Thi Thu, Sébastien Sanaur, Benoît Piro

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The Cognitive Differences between the Teachers and Students in the Emergency Professional Skills Training Program of Standardized Residency Training by LYU Baopu, LIU Liang, XIAO Hao, GONG Yu, MENG Qingbing, GAO Hengbo, TIAN Yingping, YAO Dongqi

“…According to the "Clinical Skill Operation Refinement Process and Scoring Criteria", an electronic questionnaire was developed for 13 emergency core skill training projects according to the operation steps of the refinement process, and the scores were divided into "difficulty degree" and "omission during operation". …”
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Effect of exercise intervention on health-related quality of life in middle-aged and older people with osteoporosis: a systematic review and meta-analysis by Di Geng, Xiaogang Li, Yan Shi

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CtBP1 is essential for epigenetic silencing of μ-opioid receptor genes in the dorsal root ganglion in spinal nerve ligation-induced neuropathic pain by Cheng-Yuan Lai, Ming-Chun Hsieh, Chou-Ming Yeh, Tzer-Bin Lin, Dylan Chou, Hsueh-Hsiao Wang, Kuan-Hung Lin, Jen-Kun Cheng, Po-Sheng Yang, Hsien-Yu Peng

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The role of 5G network in revolutionizing agriculture for sustainable development: A comprehensive review by Wasif ur Rehman, Mohsin Ali Koondhar, Samandar Khan Afridi, Lutfi Albasha, Idris H. Smaili, Ezzeddine Touti, Mouloud Aoudia, Wassim Zahrouni, Ibrahim Mahariq, M.M.R. Ahmed

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Room temperature ferroelectricity in monolayer graphene sandwiched between hexagonal boron nitride by Fanrong Lin, Xiaoyu Xuan, Zhonghan Cao, Zhuhua Zhang, Ying Liu, Minmin Xue, Yang Hang, Xin Liu, Yizhou Zhao, Libo Gao, Wanlin Guo, Yanpeng Liu

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Athermal Tantalum Pentoxide Mach-Zehnder Interferometers Based on Structural Compensation Method by Mingjian You, Zhenyu Liu, Weiren Cheng, Xingyu Tang, Ning Ding, Zhengqi Li, Min Wang, Li Shen, Qiancheng Zhao

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Equalizer Design: HBOA-DE-trained radial basis function neural networks by Santosh Kumar Das, Satya Ranjan Pattanaik, Pradyumna Kumar Mohapatra, Saroja Kumar Rout, Abdulaziz S. Almazyad, Muhammed Basheer Jasser, Guojiang Xiong, Ali Wagdy Mohamed

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Assisted Egg White Biogenic Synthesis for Elaboration of ZnO Nanoparticles by Elena Andreea Vijan, Ecaterina Magdalena Modan, Sorin Georgian Moga, Denis Aurelian Negrea, Adriana-Gabriela Schiopu, Mihai Oproescu, Daniela Istrate

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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

“…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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Global, regional, and national trends in drug use disorder mortality rates across 73 countries from 1990 to 2021, with projections up to 2040: a global time-series analysis and mod... by Soeun Kim, Hayeon Lee, Selin Woo, Hyeri Lee, Jaeyu Park, Tae Kim, Guillaume Fond, Laurent Boyer, Masoud Rahmati, Lee Smith, Guillermo F. López Sánchez, Elena Dragioti, Christa J. Nehs, Jinseok Lee, Hyeon Jin Kim, Jiseung Kang, Dong Keon Yon

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Effectiveness of Mobile Health–Based Gamification Interventions for Improving Physical Activity in Individuals With Cardiovascular Diseases: Systematic Review and Meta-Analysis of... by Tianzhuo Yu, Monica Parry, Tianyue Yu, Linqi Xu, Yuejin Wu, Ting Zeng, Xin Leng, Qian Tong, Feng Li

“…MethodsA comprehensive search of 7 electronic databases was conducted for randomized controlled trials published in English from January 1, 2010, to February 3, 2024. …”
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Digital Surveillance of Mental Health Care Services in Saudi Arabia: Cross-Sectional Study of National e-Referral System Data by Abdullah A Alharbi, Nawfal A Aljerian, Meshary S Binhotan, Hani A Alghamdi, Ali K Alsultan, Mohammed S Arafat, Abdulrahman Aldhabib, Yasser A Alaska, Eid B Alwahbi, Mohammed A Muaddi, Ahmad Y Alqassim, Ronnie D Horner

“…To address these challenges, digital health solutions, particularly electronic referral (e-referral) systems, have emerged as powerful tools to improve care coordination and access. …”
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Detecting Deception and Ensuring Data Integrity in a Nationwide mHealth Randomized Controlled Trial: Factorial Design Survey Study by Krista M Kezbers, Michael C Robertson, Emily T Hébert, Audrey Montgomery, Michael S Businelle

“…Recruitment was conducted remotely through Facebook advertisements, a 5-minute REDCap (Research Electronic Data Capture) prescreener, and a screening and enrollment phone call. …”
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Process Evaluations of Interventions for the Prevention of Type 2 Diabetes in Women With Gestational Diabetes Mellitus: Systematic Review by Iklil Iman Mohd Sa'id, Natasha Hotung, Madeleine Benton, Iliatha Papachristou Nadal, Anisah Baharom, Matthew Prina, Barakatun Nisak Mohd Yusof, Kimberley Goldsmith, Samantha Birts, Ching Siew Mooi, Angus Forbes, Khalida Ismail, Boon How Chew

“…MethodsA systematic review was conducted to identify studies published from 2005 to 2020 aiming to capture the most recent DPIs. Five electronic bibliographic databases (Cochrane Library, Cochrane Collaboration Registry of Controlled Trials, Embase, PubMed, and MEDLINE) were searched to identify relevant studies. …”
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Development of an Alternative Protocol to Study Muscle Fatigue by Daniela A. Alambarrio, Benjamin K. Morris, R. Benjamin Davis, Emily B. Grabarczyk, Kari K. Turner, John M. Gonzalez

“…The right hind limb bicep femoris (<b>BF</b>) and semitendinosus (<b>ST</b>) were selected for ambulatory movement simulation using electronic muscle stimulation (<b>EMS</b>). Muscle workload during EMS was measured with EMG using median power frequency (<b>MdPF</b>) and root mean square (<b>RMS</b>) as indicators of action potential velocity and muscle fiber recruitment. …”
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