Harnessing self-efficacy: Mediating the connection between TPACK and AI intentions among teachers by Christina Ismaniati, Nurul Inayah Khairaty, Nuraini Yusuf, Agus Supramono

“…Constructs were described by descriptive statistics, and the hypothesized model was tested through mediation analysis of SmartPLS 4.0's bootstrapping algorithm. Findings showed that the constructs of the study have good validity and reliability, the created model was fit, while educators possess high TPACK and self-efficacy levels and a moderate intention to adopt AI. …”
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COMPARISON OF COLOR IN AUTHENTICATION OF IDENTITY DOCUMENTS TASKS by E. I. Stepankova, N. A. Volorova

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Enhancing Campus Mobility: Simulated Multi-Objective Optimization of Electric Vehicle Sharing Systems Within an Intelligent Transportation System Frameworks by Omar S. Aba Hussen, Shaiful J. Hashim, Nasri Sulaiman Member, S.A.R. Alhaddad, Bassam Y. Ribbfors, Masanobu Umeda, Keiichi Katamine

“…A simulation model was developed in MATLAB, utilizing the Non-dominated Sorting Genetic Algorithm (NSGA-II), a powerful multi-objective optimization technique that balances conflicting objectives to achieve the best trade-offs for operational efficiency. …”
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An Optimization Method for Indoor Pseudolites Anchor Layout Based on MG-MOPSO by Xiaohu Liang, Shuguo Pan, Shitong Du, Baoguo Yu, Shuang Li

“…To address the challenge of optimizing the layout of pseudolite anchor points in complex indoor environments with significant occlusions, this paper proposes a multi-objective particle swarm optimization algorithm (MG-MOPSO). The algorithm leverages a minimum geometric dilution of precision (GDOP) configuration to optimize anchor deployment, aiming to meet the high-precision requirements of indoor pseudolite positioning systems. …”
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Methodology of risks assessment of information security evaluation in e-economy systems by L. M. Lynkov, T. N. Beliatskaya, V. S. Knyazkova

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A Rattle Signal Denoising and Enhancing Method Based on Wavelet Packet Decomposition and Mathematical Morphology Filter for Vehicle by Linyuan Liang, Shuming Chen, Peiran Li

“…To examine the feasibility of the proposed algorithm, synthetic brake caliper rattle signals with various SNR ratios are prepared to verify the algorithm. …”
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Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopy by Tobias Schraut, Anne Schützenberger, Tomás Arias-Vergara, Melda Kunduk, Matthias Echternach, Stephan Dürr, Julia Werz, Michael Döllinger

“…Subjects were classified into two hoarseness groups based on auditory-perceptual ratings, with predicted scores serving as continuous hoarseness severity ratings. …”
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Sudden Infant Death Syndrome: Definition Evolution, Epidemiology and Risk Factors by Natalya N. Korableva

“…This algorithm is proposed to be used in educational programs for pregnant women and parents of infants.…”
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Development of the Model of Diagnostics of Design-Technological Thinking in Secondary School Students in the Subject of Labor (Technology) in the Module “Robotics and Automated Sys... by Yakov M. Mashukov

“…The proposed model can be used to improve the educational process in practice-oriented subject areas.…”
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Research on Air Quality Monitoring System and Evaluation Method in Closed Environment by LI Bo-chen, DING Xi-bo, CAI Qing-yao

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Development of a deep learning model for automated detection of calcium pyrophosphate deposition in hand radiographs by Thomas Hügle, Elisabeth Rosoux, Guillaume Fahrni, Deborah Markham, Tobias Manigold, Fabio Becce

“…CPPD presence was then predicted using a convolutional neural network. We tested seven CPPD models, each with a different combination of sites out of TFCC, MCP-2 and MCP-3. …”
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Utilizing Multi-omics analysis to elucidate the role of mitochondrial gene defects in Gastric cancer progression. by Jie Chu, Hanying Song, Kemin Fu, Wei Xiao, Jiudong Jiang, Qixin Gan, Bo Deng

“…Additionally, both the ssGSEA algorithm and the CIBERSORT algorithm were utilized to evaluate changes and effects in immunological characteristics during gastric cancer pathogenesis.…”
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Foreign object detection for mining conveyor belts based on YOLOv5n-CND by SUN Aoran, ZHAO Peipei, YANG Di, ZHANG Junyi, YU Hongjian

“…Second, the normalized Gaussian Wasserstein distance (NWD) regression loss function was used to replace CIoU, improving the performance of multi-scale foreign object detection and accurately predicting the detection of adhering small objects. …”
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Toward precision oncology in LUAD: a prognostic model using single-cell sequencing and WGCNA based on a disulfidptosis relative gene signature by Panpan Li, Han Zhang, Limin Sun, Xiaojuan Wu

“…Gene expression in single cell RNA sequencing (scRNA-seq) data was assessed using the AUcell algorithm. In the TCGA [LUAD] dataset, disulfidptosis-related enrichment scores were calculated using ssGSEA, and core gene sets were identified through the Weighted Gene Co-expression Network Analysis (WGCNA) algorithm. …”
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Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenari... by Cecilia Parracciani, Daniela Gigante, Onisimo Mutanga, Stefania Bonafoni, Marco Vizzari

“…The forecasting method along with the selection of spatial drivers to predict land cover change, demonstrated high efficiency compared to other studies. …”
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Evaluation of LSRB Pathfinding Performance in an Autonomous Obstacle-Avoiding Robot by Usran Usran, Muh. Rafly Rasyid, Wawan Firgiawan

“…This study presents an evaluation of the performance of the Left-Straight-Right-Back (LSRB) algorithm implemented in an autonomous obstacle-avoiding robot. …”
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Parallel Simulation Multi-Sample Task Scheduling Approach Based on Deep Reinforcement Learning in Cloud Computing Environment by Yuhao Xiao, Yping Yao, Feng Zhu

“…In a real cloud environment, the proposed method demonstrates runtime reductions of 4–11% and execution cost savings of 11–22% compared to the Round-Robin algorithm, Best Fit algorithm, and genetic algorithm.…”
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ADAPTATION OF ARTIFICIAL NEURAL NETWORKS FOR CUDA-TECHNOLOGY APPLICATION by O. S. Hilko, S. P. Kundas, V. I. Kovalenko

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Correlation of Tracks from Different Radars in Information Processing by Attraction Method by U. A. Aparovich, A. V. Shevchenko

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OntoCommerce: Incorporating Ontology and Sequential Pattern Mining for Personalized E-Commerce Recommendations by Ghulam Mustafa, Naveed Ahmad Jhamat, Zeeshan Arshad, Nadia Yousaf, Md. Nazmul Abdal, Mohammed Maray, Dokhyl Alqahtani, Mohamad Amir Merhabi, Muhammad Abdul Aziz, Touseef Ahmad

“…This ontology is then utilized to calculate customer preference similarities and generate predictions for the intended customer. The SPM algorithm is applied to the results of collaborative filtering to generate personalized recommendations for the customer. …”
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