Empowerment components related to smoking prevention among male students: A cross-sectional study by Naser Sharafkhani, Mehrnoosh Jasemzadeh, Mostafa jiba, Leili Rabiei, Arash Salahshouri

“…The data were analyzed using descriptive and inferential statistical methods, including prevalence, mean, standard deviation, Pearson's correlation coefficient, and linear regression, using SPSS 22 software. …”
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The Allopathic Practitioners’ Awareness, Knowledge, and Use of Traditional Child Healthcare Practices in Tshwane District, Gauteng Province, South Africa by Eugene Musiwa Makhavhu, Sophy Mogatlogedi Moloko

“…Results revealed that 77.4% of practitioners were aware of traditional healthcare practices used for child health, with 72.2% identifying specific childhood conditions, such as hlogwana (sunken fontanelle), believed to be treatable only by traditional methods. Practitioners with 0–10 years (25.9%) and 11–20 years (27.7%) of experience knew of children’s illnesses that are believed to be treatable only by traditional health practices, χ²(12, N = 54) = 28.018, p = .021.^1 Notably, 56.6% of respondents reported having used traditional practices themselves, with utilisation significantly associated with older age, χ²(12, N = 53) = 24.143, p = .019.^2 Conclusion The findings show allopathic practitioners’ knowledge, awareness, and use of traditional health practices. …”
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Comparing neurosurgery training in Pakistan: a cross-sectional study of public and private institutions by Muhammad Shakir, Hammad Atif Irshad, Muhammad Abdul Basit, Maryam Chaudry, Syed Ather Enam

“…This study aims to evaluate these differences, examining how the sector affects the quality and scope of medical education across the country. Methods A nationwide survey was conducted in Pakistan, covering 22 College of Physicians and Surgeons of Pakistan (CPSP) accredited training programs. …”
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Analysis the Integration of Medical Education with the Provision of Healthcare Services in Iran with a SWOT Approach by Zohreh Bagherinezhad, Roya Malekzadeh, Ghasem Abedi

“…Data were collected using semi-structured interviews through purposive and snowball sampling methods until data saturation was reached. …”
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Application of unified microprocessor relay protection units in electrical machine diagnostics by V. I. Polishchuk, M. V. Kritsky, D. M. Bannov, S. V. Malyshev

“…They also presented the results of experiments for the breakage in the short-circuit rotor of an asynchronous motor and proved that the microprocessor-based BMRZ device is capable of digitizing at a sampling rate that meets the requirements, and in conjunction with the data processing algorithms that carry out the selective determination of hard-to-detect defects, is applicable in the diagnosis of electrical machines.…”
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Integrating life skills through basketball training program by I Kadek Suardika, Moh. Rivai Nakoe, Arief Ibnu Haryanto, Mohammad Son Dadu, Husnina Datau

“…The sampling method used was cluster random sampling. This research was conducted through a quasi-experiment with a pre-test and post-test group design using the Life Skills Scale for Sport (LSSS) scale which consists of eight elements: social skills, leadership, problem solving, decision making, emotional skills, communication, teamwork, and goal setting. …”
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Determinants of chronic disease patients' intention to use Internet diagnosis and treatment services: based on the UTAUT2 model by Jing Zhao, Bei Li, Jianwei Sun, Xu Zeng, Jing Zheng

“…Utilizing convenience sampling, a total of 823 valid responses were collected. …”
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An intelligent algorithm for identifying dropped blocks in wellbores by Qian Wang, Zixuan Yang, Chenxi Ye, Wenbao Zhai, Xiao Feng

“…The raw data obtained were preprocessed using methods such as format conversion, down sampling, coordinate transformation, statistical filtering, and clustering. …”
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Research on online modeling of multiple demonstration trajectories for robots based on composite movement primitives by LI Zhiyong, YAN Bin, HUANG Xiaoping, LIU Changsheng, MA Cunguo, LIU Tundong

“…ObjectiveAiming at the problems of low parameter estimation efficiency and lack of multi-trajectory modeling ability in traditional robot demonstration learning algorithm, an online modeling method of robot multiple demonstration trajectories based on composite dynamical movement primitives was proposed.MethodsGaussian mixture model was used to model multi-demonstration trajectory in the composite algorithm. …”
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Fatigue Strength Analysis of Bogie Frame In Consideration of Parameter Uncertainty by Bingzhi Chen, Pengpeng Zhi, Yonghua Li

“…The control points under the influence of uncertainty parameters are obtained by importance sampling method. Finally, the functional expression of GSFLD without considering the safety factor is derived, and the fatigue strength reliability of control point is calculated. …”
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Fatigue strength analysis of bogie frame in consideration of parameter uncertainty by Bingzhi Chen, Pengpeng Zhi, Yonghua Li

“…The control points under the influence of uncertainty parameters are obtained by importance sampling method. Finally, the functional expression of GSFLD without considering the safety factor is derived, and the fatigue strength reliability of control point is calculated. …”
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A Novel Active Learning Approach for Improving Classification of Unlabeled Video Based on Deep Learning Techniques by Mohamed Salama

“…Unlike passive learning methods that randomly select samples for labeling, our approach actively identifies the most informative unlabeled instances to be annotated. …”
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Uncertainty analysis of initial orbit determination in the minimum radar admissible region by Yasheng Zhang, Jinyan Xue, Xuefeng Tao, Shuailong Zhao

“…The simulation experiment proves that the proposed method can well describe the possibility of each point in the MRAR to be the real orbit state, and can provide a better initial value for the subsequent space mission analysis.…”
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Few-Shot Intelligent Anti-Jamming Access with Fast Convergence: A GAN-Enhanced Deep Reinforcement Learning Approach by Tianxiao Wang, Yingtao Niu, Zhanyang Zhou

“…To address the small-sample training bottleneck and inadequate convergence efficiency of Deep Reinforcement Learning (DRL)-based communication anti-jamming methods in complex electromagnetic environments, this paper proposes a Generative Adversarial Network-enhanced Deep Q-Network (GA-DQN) anti-jamming method. …”
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Ground-Based Remote Sensing Cloud Image Segmentation Using Convolution-MLP Network by Shuang Liu, Jiafeng Zhang, Zhong Zhang, Shuzhen Hu, Baihua Xiao

“…Meanwhile, different from existing MLPs methods where the long-range dependencies are learned from one single scale, we propose the dilated MLPs (DMLPs) to learn long-range dependencies at different scales by sampling different channels of tokens. …”
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Statistical Assessment of The Development of Digital Skills of The Employed Population in The Russian Federation by P. E. Prokhorov

“…The calculation was carried out using this method based on the microdata of sample surveys for 2020. …”
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Intersectional Approach in Social Inequality Research: Group Project by Ella Mikhaylovna Zhesko, Leonid Nikolaevich Petrukhin

“…A larger sample of works should be used or other methods should be used, such as deepening existing information through the use of biographical interviews.This article presents the results of a group educational project conducted with the participation of a team of authors on the initiative of Elena Yuryevna Rozhdestvenskaya as part of the course “Biographical Method in Sociology” of the master’s program “Complex Social Analysis” of the Higher School of Economics.…”
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Zonation system in admission of new student at state secondary school in Indonesia: how predictable to learning success by B. Bulkani, M. Fatchurahman, M. A. Setiawan

“…The sampling technique for this study used proportional random sampling. …”
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CAUSES OF COLLUSION AMONG PEOPLE IN CONSTRUCTION by Ayodeji OKE, Clinton AIGVABOA, Zacharia Mangena, Wellington THWALA

“…Five of the questionnaires were not correctly and completely filled out. The distribution method used was self-administration. In addition, purposive sampling was used. …”
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Internal Medicine Resident’s Knowledge and Attitudes towards Obstructive Sleep Apnoea in Riyadh City, Saudi Arabia: A Survey-based Cross-sectional Study by Mohammad A. Alhajery, Abdulwahed Abdulaziz Alotay, Eysa N. Alsolamy, Abdulrahman Mohammed Alanazi, Rayan A. Qutob, Yousef M. Alammari, Ismail S. Alateeq, Najd Mabrouk Alanazi, Abdulaziz M Aleidan, Fahad Awadh Alanazi, Tariq Radi Alanazi, Abdulaziz Abdulmajeed Alotay

“…This Saudi study assesses internal medicine residents’ OSA awareness to enhance care quality. Materials and Method: A cross-sectional survey-based study included internal medicine residents in Riyadh city. …”
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