Numerical and analytical solution of temperature distribution in foamed soy suspension during vacuum microwave drying by V. V. Tkach, G. O. Magomedov, A. A. Shevtsov

“…Experimental verification showed quite satisfactory convergence of the simulation results with an error of 10-12%. Conclusion. The study of numerical methods for solving the formulated problem makes it possible to determine the temperature at any point of the soybean suspension, taking into account the thermophysical and electrical characteristics of the suspension in a wide range of operating parameters.…”
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Development and psychometric evaluation of E-Learning Assessment Scale in Higher Education by Sevil Çiçek Özdemir, Ayten Şentürk Erenel, Şengül Yaman Sözbir, Sıdıka Pelit Aksu, Canan Uçakcı Asalıoğlu

“…The E-Learning Assessment Scale had strong test-retest reliability. In conclusion, the 18-item E-Learning Assessment Scale was a valid and reliable tool for assessing e-learning. …”
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Formulation and optimization of upadacitinib-loaded transdermal patches for rheumatoid arthritis with zero-order release kinetics by Shubham Talole, Rahul Godge, Nikita Tambe, Nikita Mhase

“…Conclusion: The optimized Upadacitinib transdermal patch provides sustained drug delivery with zero-order release kinetics and excellent stability. …”
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Energy-Efficient Optimal Control of Crude Distillation Columns Using Proportional-Integral-Plus (PIP) Framework: A Simulation-Based Approach by Mir Mohammad Khalilipour, Farhad Shahraki, Jafar Sadeghi, Kiyanoosh Razzaghi

“…Conclusion: The findings indicate that the PIP control system is a highly effective tool for optimizing energy consumption and process stability in modern refineries, especially under fluctuating operational conditions. …”
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Psychometric properties of the arabic version of occupational value with pre-defined ítems by Mona Eklund, Lisa Ekstam, Mariam Hassan, Pablo Bellosta-López

“…No floor or ceiling effects were observed.Conclusion The Arabic OVal-pd showed good validity and reliability on various psychometric aspects.Significance In today’s multicultural societies, the Arabic OVal-pd can be an important tool for occupational therapists working with Arabic-speaking clients.…”
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The results of using machine learning technology for intraocular lenses optical power calculation by A.A. Arzamastsev, O.L. Fabrikantov, S.V. Belikov, N.A. Zenkova

“…Conclusion. The resulting models, in contrast to the traditionally used formulas, reflect the regional specificity of patients to a much greater extent. …”
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Poststroke Fatigue: Who Is at Risk for an Increase in Fatigue? by Hanna Maria van Eijsden, Ingrid Gerrie Lambert van de Port, Johanna Maria August Visser-Meily, Gert Kwakkel

“…An increase in post-stroke fatigue was defined as an increase in the FSS score beyond the 95% limits of the standard error of measurement of the FSS (i.e., 1.41 points) between T0 and T1. …”
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Research on Antenna Propagation Loss Model in Rail Transit Tunnel based on Multi-dimensional Scenario Analysis by ZHAO Yifan, ZOU Jinbai, ZHAO Zhenglian, XU Zhipeng, ZHOU Qing

“…A radio wave signal propagation loss model of antenna radiation in the scenario of vacant rail transit tunnels is proposed. ［Result & Conclusion］ The verification results show that the above model can predict the propagation loss within the error range and has certain application value in that it is helpful to tunnel wireless communication system design, and can provide reference for the design of antenna coverage schemes of communication systems in rail transit tunnels.…”
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A heuristic evaluation of a pharmacy surveillance information system by Reza Abbasi, Mehrdad Farzandipour, Habiballah Rahimi, Yang Gong, Ehsan Nabovati

“…Conclusion The study has identified the most common and severe usability issues of an information system. …”
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TBM Net Advance Rate Prediction Model Based on Ridge Regression Analysis by SHI Jian, ZHANG Shilin, FAN Zuosong, KONG Desen

“…The absolute prediction error of the ridge regression prediction model is within 5 mm/min, which meets the requirements of engineering prediction.…”
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The Impact of Macroeconomic Factors on Mortality from Non-Communicable Diseases: Evidence from Azerbaijan by Mayis Gulaliyev, Masim Abadov, Vugar Gapagov, Irada Mehdiyeva, Jeyhun Mahmudov

“…The model’s statistical diagnostics confirm its robustness, and the results align with economic theory, reinforcing their validity and policy relevance. According to the conclusion of this research, we suggest the enhancement of the HDI and Employment, control out-of-pocket expenditures, and increase Government Healthcare Spending to significantly reduce mortality rates. …”
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Metro Station Passenger Volume Prediction Algorithm Based on Improved LSTNet Model by XU Ling, GUAN Jianbo, XU Xiwei, BAN Yong

“…Based on the prediction results, the performance of the improved LSTNet model is evaluated. [Result & Conclusion] Compared with the adopted LSTM and LSTNet models, the improved LSTNet model reduces the mean absolute percentage error (MAPE) of total passenger volume prediction at metro stations by 5.3% and 2.4%, respectively. …”
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Estimating the travel distance of channelized rock avalanches using genetic programming method by Zhang Yong, Wang Tao, Deng Mingfeng, Chen Ningsheng

“…In view of the limited number of channelized rock avalanche events, the application range of the proposed GP model is suggested. In conclusion, the proposed GP model could play a beneficial role in related rock avalanche disaster prevention.…”
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Leveraging transformer models to predict cognitive impairment: accuracy, efficiency, and interpretability by Kai Ma, Junzhi Zhang, Xinhang Huang, Mengyang Wang

“…Key metrics included accuracy, Mean Absolute Error (MAE) tolerance, and training loss. An attention heatmap was generated to visualize feature importance. …”
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Data base of Characterization of self-reported sleep quality in male and female trained amateur triathletes: a descriptive study by Luiz Vieira da Silva Neto, Tatiana Albuquerque Melo Kramer, Gloria Maria Alves Trajano, Luiz José Frota Solon Júnior

“…In conclusion, all triathletes regardless of gender and age group have poor sleep quality. …”
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Novel equations for estimating gross energy in feed ingredients for non-ruminants by Yoon Soo Song, Ah Reum Son, Beob Gyun Kim

“…Results Based on the evaluation using 2,279 samples, the equation developed by Ewan in 1989 underestimates GE by 218 kcal/kg DM (standard error = 4 and p<0.001) on average and underestimates more for low-GE ingredients (linear bias = −0.121; standard error = 0.025 and p<0.001). …”
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State of Charge Estimation for Li-Ion Batteries: An Edge-Based Data-Driven Approach by Sesidhar Dvsr, Chandrashekhar Badachi, Chandrashekar Nagawaram, Panduranga Chary Kondoju, C. Dhanamjayulu, Innocent Kamwa

“…The experimental results provide a Mean Absolute Error (MAE) of 0.0630, a Mean Squared Error (MSE) of 0.0107, and a Root Mean Squared Error (RMSE) of 0.1033, confirming the efficacy of the proposed methodology. …”
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A comparative study of clinical methods and ultrasound methods for prediction of fetal birth weight at term gestation by Rashmi Khatri, Geetika Bhardwaj, Seema Rawal, Rajiv Ranjan Kumar, Neeru Malik

“…Results: Absolute mean error in prediction of actual fetal weight was significantly different among different methods with highest mean error being with Johnson’s method (359.37±97.09) and lowest error being with Leopold’s method (212.65±69.99), with ultrasound (233±65.86) showing the value in between both of them with p-value <0.0001. …”
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Physical function evaluation in volleyball training based on intelligent GRNN by Kaiyuan Dong, Borhannudin bin Abdullah, Hazizi bin Abu Saad, Chenxi Lu

“…Comparative experiments conducted on training data of a high-level university men’s volleyball team show that VSGRNN has a goodness-of-fit R2 = 0.927 on the validation set, with a Root Mean Square Error (RMSE) only 1.68 and Symmetric Mean Absolute Percentage Error (SMAPE) controlled at 8.21%. …”
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Importance Analysis of Vegetation Change Factors in East Africa Based on Machine Learning by Zhang Xiumei, Ma Bo, Zhang Yijie

“…Coefficient of determination (R2), mean absolute error (MAE), and mean relative error (MRE) were used as error indicators to evaluate the potential of the six machine learning algorithms for predicting NDVI changes. …”
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