Designing, implementing and evaluating childbirth training protocol for undergraduate midwifery students with a computer and mobile application based on gamification method: study... by Saeideh Ghaffarifar, Fereshteh Behmanesh, Zeinab Gholamnia-Shirvani, Hossein-Ali Nikbakht, Sana Nazmi

“…It is assumed that the findings indicate that the educational method of gamification is better than the lecture method and by increasing the learning rate, the teaching process will be improved and the students will be fully satisfied with the teaching method. …”
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Assessing compatibility of clayey soils using state variables for sustainable DMM in Saga Lowland, Kyushu, Japan by Kimihiro Mitsuse, Ryota Nakao, Mathiro José Sindete, Takenori Hino, Tri Harianto

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Structural Toughness Enhancement Method for Material Extrusion-Based 3D-Printed Model: A Rigid Shell-Flexible Infill Composite Structure by Chen Wang, Han-yi Huang, Xiaowen Wang

“…A new structural toughness enhancement method was proposed to improve the structural toughness of MEX 3D-printed models by constructing a rigid shell-flexible infill composite structure. …”
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Large language models driven BIM-based DfMA method for free-form prefabricated buildings: framework and a usefulness case study by Dongchen Han, Wuji Zhao, Hongxi Yin, Ming Qu, Jian Zhu, Feifan Ma, Yuejia Ying, Annika Pan

“…The research includes contributions from the following four areas: (1) A review of the literature on DfMA theories, specifically fabrication and construction. (2) The development of a BIM-based DfMA method framework, including the methodological basis, Design for Manufacturing (DfM), and Design for Assembly (DfA). (3) A pipeline for LLMs driven BIM-based DfMA method framework and a validation using the Decathlon Solar Team design-build practice at the University of Washington’s Lotus House. (4) An evaluation of 692 conversation scenarios to verify the feasibility of our proposal. …”
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Quality control method of steel structure construction based on digital twin technology [version 1; peer review: 2 approved, 1 approved with reservations] by Zisheng Liu, Lejia Wu, Yanchi Mo, Zhansheng Liu

“…To address this issue, this paper proposes a smart quality control method based on digital twin technology. …”
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Process Evaluation of Pragmatic Cluster-Randomized Trials of Digital Adherence Technologies for Tuberculosis Treatment Support: A Mixed-Method Study in Five Countries by Norma Madden, Amare W. Tadesse, Chung Lam Leung, Bianca Gonçalves Tasca, Jason Alacapa, Natasha Deyanova, Nontobeko Ndlovu, Nontobeko Mokone, Baraka Onjare, Andrew Mganga, Kristian van Kalmthout, Degu Jerene, Katherine Fielding

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An optimization method for hemi-diaphragm measurement of dynamic chest X-ray radiography during respiration based on graphics and diaphragm motion consistency criterion by Yingjian Yang, Jie Zheng, Peng Guo, Tianqi Wu, Qi Gao, Yong Li, Chengcheng Liu, Yang Liu, Yingwei Guo, Huai Chen

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A Bidirectional-RRT*-Connect-Assisted RRT*-Smart for a path planning algorithm by Heru Suwoyo, Yudi Hastomi, Julpri Andika

“…Based on this approach, this method will be named Connect-RRT*-Smart. Several methods, such as RRT, RRT*, RRT*-Connect, and RRT*-Smart, are compared to see their performance in producing the feasible path. …”
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Novel Fusion Technique for High-Performance Automated Crop Edge Detection in Smart Agriculture by F. Martinez, James B. Romaine, P. Johnson, A. Cardona Ruiz, Pablo Millan Gata

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A Self-Organized and Smart-Adaptive Clustering and Routing Approach for Wireless Sensor Networks by Kyuhong Lee, Heesang Lee

“…Therefore, some studies have used self-organized systems and smart mechanisms as research methods. In this paper, we propose a self-organized and smart-adaptive clustering (SOSAC) and routing method, which performs clustering in WSNs, operates the formed clusters in a smart-adaptive way, and performs cluster-based routing. …”
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Federated learning-enhanced generative models for non-intrusive load monitoring in smart homes by Yuefeng Lu, Shijin Xu, Yadong Liu, Xiuchen Jiang

“…We evaluate FL-WGAN using the UA-DALE and REDD datasets, and the results demonstrate that our method outperforms existing methods.…”
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Smart Irrigation Manager: A Simple User-Friendly Software for Determining Irrigation Scheduling by Hassan M. Abd El Baki, Asad Sarwar Qureshi, Haruyuki Fujimaki

“…SIM fairly estimated the daily ET0 using the FAO-PM method with average root mean squared error (RMSE) of 0.05 mm d‒1, while the daily estimates using the Hargreaves and Blaney‒Criddle methods were overestimated with average RMSE of 0.45 mm d‒1 and 2.1 mm d‒1, respectively. …”
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Application of BeiDou RNSS timing technology in smart grid lightning locating system by Hao ZHANG, Hongzhen YANG, Weiping SHAO, Jiming YAO

“…The smart grid lightning location system is an important power service,and its lightning location accuracy largely depends on the accuracy of time synchronization.Three kinds of BeiDou timing methods were studied and compared,and the RNSS timing method was found to be most suitable for lightning location systems.Furthermore,the principle and characteristics of RNSS timing were studied,and a low-cost user terminal timing hardware and software architecture and algorithm were proposed.The Kalman filter-based BeiDou second pulse signal was used to calibrate the user clock and adjust the voltage through the PID algorithm.The temperature-controlled crystal oscillator made the deviation between the user terminal time and the GNSS time below 100 ns at any time to meet the accuracy requirements of the lightning positioning system.…”
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Inclusive power of digitalization: Smart city construction and the health of middle-aged and older disabilities by Hongkun Zhao, Qingrui Liu, Zhuo Chen

“…This research aims to investigate the impact of SCC on the health of middle-aged and older disabilities individuals, focusing on its dynamic trends, underlying mechanisms, unequal selection effects, and overall welfare. Methods Based on data from the China Health and Retirement Longitudinal Study, this paper estimates the impact of SCC on the health of middle-aged and older disabilities using the double machine learning method with the random forest algorithm, and examines the dynamic trend of the health effects using event study method. …”
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Pseudo-input signal generation for smart structural control and fast seismic response analysis by Hiroki Akehashi, Bohan Wang

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Using artificial intelligence tools for level of service classifications within the smart city concept by Melicherčík Miroslav, Michalíková Alžbeta

“…The rapid advancement of artificial intelligence technologies offers new opportunities for managing urban traffic within the framework of Smart Cities. One common method for classifying traffic is the level of service (LoS) criterion, which evaluates traffic quality based on factors like density, speed, and location-specific characteristics. …”
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DEVELOPMENT OF PROBLEM-SPECIFIC MODELING LANGUAGE TO SUPPORT SOFTWARE VARIABILITY IN "SMART HOME" SYSTEMS by Rustam Gamzayev, Mykola Tkachuk

“…Conclusions: the proposed method of developing a specialized problem-oriented language for smart home systems allows for multilevel modeling of the variability properties of its software components and provides an increase in the efficiency of programming such models by about 14% compared to existing approaches. …”
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Implementation of VR application in cultural and tourism integration under the background of smart city and IoT by Wei Huang

“…This study not only develops a prototype WebGL virtual roaming system suitable for cultural and tourism integration scenarios, but also proposes an optimized sentiment analysis method for cultural tourism reviews, offering theoretical support and technical guidance for the practical and intelligent development of smart cultural tourism systems.…”
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Sistem Smart Trash Pemilah Sampah Organik dan Anorganik Berbasis Internet of Things by Ismail Ismail, Andi Zulkifli Nusri, Syariful Rahman

“…The system development method uses the SDLC method and the tool testing method uses the Black Box method. …”
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Smart Attention (SAB-LSTM): A Revolutionary Model for Advanced Solar Energy Forecasting by Aljafari Belqasem, Babu Thanikanti Sudhakar

“…The SAB-LSTM model further improves performance in prediction by enabling the network to dynamically focus on the most valuable historical data points and hence overcome traditional methods of forecasting. This new method significantly improves the learning of complex patterns in the generation of solar energy and maintains high accuracy under variable seasonal conditions. …”
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