Assessment of synergy-assisted EMG-driven NMSK model for upper limb muscle activation prediction in cross-country sit-skiing double poling by Xue Chen, Zhongxue Yuan, Xianzhi Gao, Yanxin Zhang, Chenglin Liu, Bo Huo, Bo Huo

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Patient Participation in Healthcare Safety Practices: A Scoping Review by Shabnam Ghasemyani, Kobra Movalled, Shafi Habibi, Rahim Khodayari Zarnaq

“…Five key areas of patient participation were identified: fall prevention, prevention of drug interactions, medical error prevention and awareness, participation in infection control and staff hand hygiene, and educational initiatives. …”
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Professor Erik Romanovich Hesse (1883–1938) in the history of Russian surgery and transfusiology by Al. A. Kurygin, V. S. Dovganyuk, V. V. Semenov

“…Hesse made a huge contribution to the development of domestic surgery and transfusiology, to the improvement of training of students of medical institutes and postgraduate education of surgeons. He was the author and editor of the first two-volume manual in the country «General Surgery» (1928), the first Soviet three-volume manual «Special Surgery» (1937), the editor of the four-volume manual «Errors, dangers and unforeseen complications in the treatment of surgical diseases» (1936–1937). …”
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A comparative performance analysis of machine learning models for compressive strength prediction in fly ash-based geopolymers concrete using reference data by Muhammad Kashif Anwar, Muhammad Ahmed Qurashi, Xingyi Zhu, Syyed Adnan Raheel Shah, Muhammad Usman Siddiq

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Geological modeling of carbonate fracture-cavity reservoir: case study of Shunbei fault zone No. 5 by Bolin Li, Yunfeng He, Wen Chen, Haojie Shang, Lixin Wang

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Effectiveness of endodontic retreatment using WaveOne Primary files in reciprocating and rotary motions by Patricia Marton Costa, Renata Maíra de Souza Leal, Guilherme Hiroshi Yamanari, Bruno Cavalini Cavenago, Marco Antônio Húngaro Duarte

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A Pythagorean Fuzzy Multigranulation Probabilistic Model for Mine Ventilator Fault Diagnosis by Chao Zhang, Deyu Li, Yimin Mu, Dong Song

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Equation Built by Multiple Adaptive Regression Spline to Estimate Biological Age in Healthy Postmenopausal Women in Taiwan by Chun-Feng Chang, Ta-Wei Chu, Chi-Hao Liu, Sheng-Tang Wu, Chung-Chi Yang

“…The method with the smaller degree of estimation error was considered to be more accurate. The lower prediction errors yielded by MARS compared to the MLR method suggest that MARS performs better than MLR. …”
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Hydrodynamic Performance Enhancement of Torpedo-Shaped Underwater Gliders Using Numerical Techniques [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approv... by Srinivas G, Sudheendra Prabhu K

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Trade-off Between Semantic Radicals’ Characterhood and Host Phonograms’ Transparency in Semantic Radicals’ Semantic Activation by Мен Цзян, Ци Луо, Ся Ван, Ксі Лі

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Comparative analysis of the DCNN and HFCNN Based Computerized detection of liver cancer by Sandeep Dwarkanth Pande, Pala Kalyani, S Nagendram, Ala Saleh Alluhaidan, G Harish Babu, Sk Hasane Ahammad, Vivek Kumar Pandey, G Sridevi, Abhinav Kumar, Ebenezer Bonyah

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Efficacy of virtual reality techniques in cardiopulmonary resuscitation training: protocol for a meta-analysis of randomised controlled trials and trial sequential analysis by Jia Wang, Lu Zhang, Guo Chen, Li Du, Jianqiao Zheng, Xiaoqian Deng

“…The success rate of CPR remains far below expectations, which made CPR education identified as the top priority for SCD. CPR training using the virtual reality (VR) technique is a feasible training method, with a wider population and lower cost, but its efficacy remains controversial. …”
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The dynamics of life insurance demand in Bangladesh: An empirical analysis of socio-economic influences by Shaikh Masrick Hasan, Sonia Munmun, Priya Saha

“…This study employs a dynamic Panel-Corrected Standard Errors (PCSE) method to handle cross-sectional dependence in panel data. …”
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Addressing inhaler technique challenges in cognitively impaired chronic obstructive pulmonary disease patients: the impact of customized training programs by Vaishnavi V Gaonkar, Vinay V Shanbhag, Shreya S Kajave, Mahek R Mattikop, Mandati Santhosh Reddy

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Sociodemographic and regional differences in neonatal and infant mortality in Switzerland in 2011–2018: the Swiss National Cohort by Veronika W. Skrivankova, Leonie D. Schreck, Claudia Berlin, Radoslaw Panczak, Kaspar Staub, Marcel Zwahlen, Sven M. Schulzke, Matthias Egger, Claudia E. Kuehni

“…In the subset, we showed a possible association of neonatal mortality with maternal education (aRR 1.24, 95% CI: 0.95–1.61 for compulsory vs tertiary education). …”
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Application of AI Chatbot in Responding to Asynchronous Text-Based Messages From Patients With Cancer: Comparative Study by Xuexue Bai, Shiyong Wang, Yuanli Zhao, Ming Feng, Wenbin Ma, Xiaomin Liu

“…ConclusionsThe GPT-4 chatbot performs comparably to physicians in patient education by providing comprehensive and empathetic responses. …”
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Implementation of the Prototype Method in Developing a Questionnaire Information System for Integrated Survey Services by Rhoedy Setiawan, Zainur Romadhon, Alvin Rainaldy Hakim

“…The advancement of information technology has driven educational institutions to enhance the efficiency and quality of both academic and non-academic services through more integrated survey systems. …”
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Estimating root zone soil moisture in farmland by integrating multi-source remote sensing data based on the water balance equation by Xuqian Bai, Shuailong Fan, Ruiqi Li, Tianjin Dai, Wangye Li, Sumeng Ye, Long Qian, Lu Liu, Zhitao Zhang, Haorui Chen, Haiying Chen, Youzhen Xiang, Junying Chen, Shikun Sun

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A precise estimation framework for individual tree AGB of Pinus kesiya var. Langbianensis utilizing point cloud registration Optimization by Zhibo Yu, Yong Wu, Ziyu Zhang, Chi Lu, Hong Wang, Zhi Liu, Xiaoli Zhang, Lei Bao, Jie Pan, Guanglong Ou, Hongbin Luo

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Rekomendasi Pengembangan Fasilitas Wisata Tugu Pahlawan Surabaya Melalui Visualisasi Dashboard Hasil Klasifikasi Analisis Sentimen Ulasan Pengunjung by Fawwaz Roja Mahardika, Ahmad Afif Supianto, Nanang Yudi Setiawan, Raden Sandra Yuwana, Endang Suryawati

“…Based on the confusion matrix, the F1-Score value determines how well the model classifies data rather than the Accuracy value because the dataset is imbalance so that prediction errors in precision or recall are very possible. Prediction errors are more likely to be found in the neutral sentiment class. …”
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