Mathematical Modeling Approach to Assessing Math Education Levels in Secondary and High Schools: Pandemic Impact and Post-Pandemic Projections by Sakar Ismael Gharib, Bilgen Kaymakamzade, Ahmet Karahan, Murat Tezer

“…There are 10,323 teachers in public schools and 694 in private schools, and this sample size is more than the 371 participants that are needed for statistical purposes (based on Cochran’s formula at a 95% confidence level and a 5% margin of error). A scale consisting of thirteen 5-point Likert-type questions was developed by researchers for data collection, and mathematical modeling techniques were employed. …”
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A Novel Approach to Autonomous Driving Using Double Deep Q-Network-Bsed Deep Reinforcement Learning by Ahmed Khlifi, Mohamed Othmani, Monji Kherallah

“…Deep reinforcement learning (DRL) trains agents to make decisions by learning from rewards and penalties, using trial and error. It combines reinforcement learning (RL) with deep neural networks (DNNs), enabling agents to process large datasets and learn from complex environments. …”
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Enhancing Load frequency control in power systems using Puma Optimizer – Proportional Integral Derivative Method by Trung Kien Do, Thanh Long Duong

“…The simulation results show that the integral time absolute error (ITAE) value of the proposed PO method is smaller by 5.25%, 18.16%, 28.35%, and 59.92% compared to Particle Swarm Optimization (PSO), Crested Porcupine Optimization (CPO), Newton-Raphson-based optimization (NRBO), and Global Neighborhood Algorithm (GNA), respectively. …”
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Applying deep learning to teleseismic phase detection and picking: PcP and PKiKP cases by Congcong Yuan, Jie Zhang

“…The testing picking result has a mean absolute error of 0.0742 s and 0.0636 s for the PcP and PKiKP phases, respectively. …”
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Comparative Study of Water Flow in Nanopores with Different Quartz <inline-formula><math display="inline"><semantics><mrow><mrow><mo stretchy="false">(</mo><mn>10</mn><mover><mn>1<... by Peng Zhou, Junyao Bao, Shiyuan Zhan, Xingjian Wang, Shaopeng Li, Baofeng Lan, Zhanbo Liu

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Household transmission of SARS-CoV-2 in a rural area in South Africa by G Maimela, C E Martin, M Chersich, B Bello, J Mauti, T Bäernighausen, S Kohler, A Almuedo-Riera, S Luchters, S Sawry

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PSYCHOLOGICAL FACTORS OF THE FORMATION OF LEGAL AWARENESS OF STUDENTS OF HISTORICAL AND MEDICAL EDUCATION PROFILES by Dribas Svetlana, Semenov Konstantin

“…The results of empirical research conducted among students of higher educational institutions are revealed. …”
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Fast fluid-attenuated T2 mapping via multiple overlapping-echo detachment acquisition enhances preoperative histological classification of meningiomas by Qizhi Yang, Yijie Yang, Lu Wang, Xiao Wang, Linyu Fan, Weijian Wang, Qinqin Yang, Jianhui Zhong, Jingliang Cheng, Yong Zhang, Jianfeng Bao, Congbo Cai, Shuhui Cai

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Comparison of Item Difficulty Analyses of Exams Used in Teaching Turkish as a Foreign Language with Instructors’ Perceptions of Item Difficulty by Seçil Alaca, Funda Keskin

“…In numerous studies focusing on assessment and evaluation of teaching Turkish as a foreign language, researchers have frequently identified issues related to the standardization and low validity and reliability of exams. …”
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Optimal Design of Welded Structure Using SVM by Sebghatullah Jueyendah, Carlos Humberto Martins

“…Engineers and researchers can develop more efficient, load-resistant, reliable, and cost-effective structures using optimization techniques, Sensitivity Analysis (SA), and support vector machine (SVM) applications. …”
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Machine learning-driven insights into self-healing silicon-based anodes for high-performance lithium-ion batteries by Mahta Moazzenzadeh, Mahmoud Samadpour

“…To tackle this issue, researchers are investigating the integration of self-healing polymers as binding agents in the anode structure through trial-and-error approaches, which is both time-consuming and expensive. …”
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On the impact of online interactionist vs. interventionist dynamic assessment on Iranian EFL learners’ writing performance by Donya Nouri, Parviz Alavinia

“…Based on this framework, the learners’ erroneous language chunks were treated through the teacher’s underlining the error, putting a question mark, circling it, or posing a written question concerning the problematic part. …”
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Fitting Time Series Models to Fisheries Data to Ascertain Age by Kathleen S. Kirch, Norou Diawara, Cynthia M. Jones

“…ARIMA and unobserved components account for the dependence of observations and error, while copula incorporates a variety of marginal distributions and dependence structures. …”
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Improving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning. by M Isabel Ramos, Juan J Cubillas, Ruth M Córdoba, Lidia M Ortega

“…The result is the early prediction of kilograms of both olive crop and olive oil, eight months prior to the beginning of the first harvesting campaigns of the year, with an average absolute error of prediction better than 26%. The relevance of this work is the early availability of predicted crop yield data together with the multi-scale applicability of the predictive models. …”
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A Novel Technique for Secure Data Cryptosystem Based on Chaotic Key Image Generation by Mustafa Dhiaa Al-Hassani

“…The results proved that the proposed encryption technique is very promising when tested on more than 500 image samples according to security measurements where the histograms of cipher images are very flatten compared with that for original images, while the averages of Mean Square Error is very high (10115.4) and Peak Signal to Noise Ratio is very low (8.17), besides Correlation near zero and Entropy close to 8 (7.9975). …”
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Effectiveness of Nursing Counseling on Reliefs Psychological Burdens upon women after Mastectomy by Iqbal M. Abbas, Rusul S. Ghazal

“…The psychological burdens measured by the scale developed by the researcher according to the literature review. Results: Results of the study showed that the highest of study sample 36.7 % were in age group (50-60) years old, the highest mean of score related to the psychological burdens were refer to the focus and attention, depression, negative feels, anxiety, thinking, and finally followed by positive feels, was found significant differences between pre and post test related to psychological burdens at standard error P ≤ 0.01. …”
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Fading Evaluation in Standardized 5G Millimeter-Wave Band by Tiago Reis Rufino Marins, Andre Antonio Dos Anjos, Carlos Rafael Nogueira Da Silva, Vicent Miquel Rodrigo Penarrocha, Lorenzo Rubio, Juan Reig, Rausley Adriano Amaral De Souza, Michel Daoud Yacoub

“…Recent standardization of portions of the millimeter-wave (mm-wave) band for fifth-generation (5G) operation has called for further research on how short-term fading behaves in that unexplored part of the spectrum. …”
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Evaluation and improvement of crop root-water-uptake and transpiration in AquaCrop by Ting Zhang, Qiang Zuo, Jianchu Shi, Yuchuan Fan, Sumei Zhang, Xun Wu, Alon Ben-Gal

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Adaptive drive-based integration technique for predicting rheological and mechanical properties of fresh gangue backfill slurry by Chaowei Dong, Jianfei Xu, Nan Zhou, Jixiong Zhang, Hao Yan, Zejun Li, Yuzhe Zhang

“…Analysis demonstrates that the particle swarm optimal (PSO) algorithm based on adaptive adjustment strategy can effectively optimize the hyperparameters of support vector regression (SVR), and the MC-PSO-SVR model exhibits better predictive capability (R2> 0.88) and lower error coefficients (MAE, RSE, and RMSE values approaching 0) and narrower widths of 95 % confidence intervals for yield stress, plastic viscosity, fluidity, and UCS. …”
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Unveiling the Effects of Crop Rotation on Cropland Soil pH Mapping: A Remote Sensing-Based Soil Sample Grouping Strategy by Yuan Liu, Songchao Chen, Ge Shen, Cheng Chen, Zejiang Cai, Ji Zhu, Xia Zhang, Guofei Shang, Qingbo Zhou, Sonoko Dorothea Bellingrath-Kimura, Qiangyi Yu, Wenbin Wu

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