The Effects of Digital Game-Based Learning in Technology-Oriented Course: A Case Study in the Biochemistry Department by Cengiz Gunduzalp

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Gaussian Process Regression Total Nitrogen Prediction Based on Data Decomposition Technology and Several Intelligent Algorithms by WANG Yongshun, CUI Dongwen

“…Total nitrogen (TN) is one of the important indicators to reflect the degree of water pollution and measure the eutrophication status of lakes and reservoirs.To improve the accuracy of TN prediction,based on the empirical wavelet transform (EWT) and wavelet packet transform (WPT) decomposition technology,this paper proposes a Gaussian process regression (GPR) prediction model optimized by osprey optimization algorithm (OOA),rime optimization algorithm (ROA),bald eagle search (BES) and black widow optimization algorithm (BWOA) respectively.Firstly,the TN time series is decomposed into several more regular subsequence components by EWT and WPT respectively.Then,the paper briefly introduces the principles of OOA,ROA,BES,and BWOA algorithms and applies OOA,ROA,BES,and BWOA to optimize GPR hyperparameters.Finally,EWT-OOA-GPR,EWT-ROA-GPR,EWT-BES-GPR,EWT-BWOA-GPR,WPT-OOA-GPR,WPT-ROA-GPR,WPT-BES-GPR,WPT-BWOA-GPR models (EWT-OOA-GPR and other eight models for short) are established to predict the components of TN by the optimized super-parameters.The final prediction results are obtained after reconstruction,and WT-OOA-GPR,WT-ROA-GPR,WT-BES-GPR and WT-BWOA-GPR models based on wavelet transform (WT) are built.Eight models,including EWT-OOA-SVM based on support vector machine (SVM),the paper compares the unoptimized EWT-GPR,WPT-GPR models,and the uncomposed OOA-GPR,ROA-GPR,BES-GPR,and BWOA-GPR models.The models were verified by the monitoring TN concentration time series data of Mudihe Reservoir,an important drinking water source in China,from 2008 to 2022.The results are as follows.① The average absolute percentage error of eight models such as EWT-OOA-GPR for TN prediction is between 0.161% and 0.219%,and the coefficient of determination is 0.999 9,which is superior to other comparison models,with higher prediction accuracy and better generalization ability.② EWT takes into account the advantages of WT and EMD.WPT can decompose low-frequency and high-frequency signals at the same time.Both of them can decompose TN time series data into more regular modal components,significantly improving the accuracy of model prediction,and the decomposition effect is better than that of the WT method.③ OOA,ROA,BES,and BWOA can effectively optimize GPR hyperparameters and improve GPR prediction performance.…”
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The Effect of the Application and Capability of Information and Communication Technology(ICT) on Knowledge-Based Urban Development in Tehran Metropolis by navid ahangari, Shahrbano movsavi, reza shahbaznejad

“…In the era of knowledge, the rapid advancement of information and communication technology (ICT) is considered a crucial factor in addressing the growing environmental, social, and economic challenges in urban areas. …”
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Retracted: Optimization of the Rapid Design System for Arts and Crafts Based on Big Data and 3D Technology by null Complexity

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The Fabrication and Evaluation of a Potential Biomaterial Produced with Stem Cell Sheet Technology for Future Regenerative Medicine by Shukui Zhou, Ying Wang, Kaile Zhang, Nailong Cao, Ranxing Yang, Jianwen Huang, Weixin Zhao, Mahbubur Rahman, Hong Liao, Qiang Fu

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Research on Deformation Mechanisms of a High Geostress Soft Rock Roadway and Double-Shell Grouting Technology by Fengnian Wang, Shizhuang Chen, Pan Gao, Zhibiao Guo, Zhigang Tao

“…This technology can be useful when analyzing and preventing large deformation of soft rock roadways.…”
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Embracing Change in the Modern Working Environment: Exploring the Role of Trust, Experimentation, and Adaptability in the Acceptance of New Technologies by Eva Gößwein, Magnus Liebherr

“…In a working environment facing increasing digitalization and the Fourth Industrial Revolution, the acceptance of new technologies remains an important factor. Based on the Technology Acceptance Model (TAM) and the Artificial Intelligence Acceptance Model (AIAM), this study examines if individual adaptability, trust in technology, as well as openness and willingness to experiment influence technology acceptance in the working environment. …”
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Advances in Recycling Technologies of Critical Metals and Resources from Cathodes and Anodes in Spent Lithium-Ion Batteries by Shuwen Wang, Yanrong Lai, Jingran Yang, Jiaxue Zhao, Yushan Zhang, Miaoling Chen, Jinfeng Tang, Junhua Xu, Minhua Su

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Application of dispersion and regression analysis to optimize the efficiency of the technological procedure of dechlorination of PCB-contaminated insulating oils by Marinković Savo, Mihajlović Draginja, Lukić Jelena, Marinković Ana, Naumović-Vuković Dragana

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DEVELOPMENT OF PRODUCTION TECHNOLOGIES OF LEAD PARTS AND SHEETS FOR RADIATION PROTECTION INSTRUMENTATION AND MEANS FROM RECYCLED PARTS by V. A. Pumpur, V. M. Ilyushenko, G. P. Korotkin

“…Urgency of use of secondary lead materials and creation of appropriate technologies for production of lead parts and sheets for devices and means of radiation protection is briefly grounded. …”
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Enhancing soil quality in soybean cultivation: Mycorrhizal technology combined with intercropping under high cadmium stress by Xiaohui Wang, Xiaoxu Fan, Wei Chang, Kun Li, Mengmeng Zhang, Gaozhong Pu, Alexander.V. Kurakov, Yuan Ping, Fuqiang Song

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Cultural and technological Synergy: A new Pathway to learners success in development studies in Lesotho secondary schools by Musa Adekunle Ayanwale, Mathaha Puseletso

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A Hierarchical Framework for Selecting Reference Measures for the Analytical Validation of Sensor-Based Digital Health Technologies by Jessie P Bakker, Samantha J McClenahan, Piper Fromy, Simon Turner, Barry T Peterson, Benjamin Vandendriessche, Jennifer C Goldsack

“… Sensor-based digital health technologies (sDHTs) are increasingly used to support scientific and clinical decision-making. …”
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Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends by Lina Elmoiz Alatabani, Elmustafa Sayed Ali, Rania A. Mokhtar, Rashid A. Saeed, Hesham Alhumyani, Mohammad Kamrul Hasan

“…Recently, artificial intelligence (AI) technology has great attention in transportation systems, which led to the emergence of a new concept known as Internet of Vehicles (IoV). …”
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Intelligent Prediction Method for Operation and Maintenance Safety of Prestressed Steel Structure Based on Digital Twin Technology by Zhansheng Liu, Antong Jiang, Anshan Zhang, Zezhong Xing, Xiuli Du

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Digital technologies in music education. Using Digital Audio Workstations (DAW) with Project-Based Learning (PBL) by María Elena Cuenca-Rodríguez, Ignacio Pascual-Moltó, Raquel Pastor-Prada

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Digital technologies as solutions to China’s aging population: a systematic review of their opportunities and challenges in rural development by Yue Ming, Yimin Li, Yun Liu

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Research on Application of Dredging Technology for Steel Pipe Pile Under Complex Sea Conditions in Deep Sea by Jianjun CHEN

“…[Result] Research has shown that the dredging method is optimized by ultra-high pressure hydraulic dredging and air disturbance dredging, the dredging equipment is optimized by robot technology, the elevation of pile top mud surface is adjusted and the rising space of silt is reserved for design optimization. …”
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Age effect analysis of different gender groups in spatial ability test based on virtual reality technology by Yangyang Guo, Mengdi Zhang, Jiangpeng Gu, Qiyang Liu, Xinyang Liu, Jie Wang, Fangfang Ma, Lihong Zhai, Jianlin Qi, Zhanguo Jin

“…Moreover, this research seeks to delve into the dissociation of diverse spatial aptitude assessments, with the aim of elucidating the intricate mechanism underpinning spatial capability.MethodBased on virtual reality technology, this study conducted spatial ability tests on 312 volunteers, aged from 18 to 90 years old, including R-letter rotation test, S-M mental rotation, surface development test and maze test.ResultsThe analysis revealed that the spatial ability of men decreases with age, but the spatial ability of women between 28 and 37 years old is better than that of other age groups. …”
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Technological Evolution of Architecture, Engineering, Construction, and Structural Health Monitoring of Bridges in Peru: History, Challenges, and Opportunities by Carlos Cacciuttolo, Esteban Muñoz, Andrés Sotil

“…Special emphasis is given to the use of technologies from the era of Industry 4.0 to promote the digital construction and structural health monitoring of these infrastructures. …”
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