DETERMINATION OF CHEWING EFFICIENCY IN PATIENTS WITH RESTORED TOOTH CROWN PART by V.V. Nikolov, D M. Korol, D.D. Kindiy, M.D. Korol

“…In a week after the fixation of fixed porcelain fused metal dentures, the reduction of the mean value of mastication test index by 0.2 was fixed. …”
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A Gradient-Based Optimization Algorithm for Optimal Control Problems With General Conformable Fractional Derivatives by Essia Ben Alaia, Slim Dhahri, Omar Naifar

“…Comprehensive comparisons including Caputo derivatives demonstrate 17.8% cost reduction and 40.1% lower terminal state error. Parameter sensitivity analyses further validate kernel selection strategies. …”
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Advanced NiCr/NiSi Thin-Film Thermocouples for Precise Temperature Sensing in Lithium-Ion Battery Systems by Xiyao Liu, Yanpeng Mao

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Benefits of Multi-Terminal HVdc Under Extreme Conditions via Production Cost Modeling Analyses by Quan Nguyen, Hongyan Li, Pavel Etingov, Marcelo Elizondo, Jinxiang Zhu, Xinda Ke

“…System operators rely on system flexibility to handle unexpected reliability and resilience events, ranging from excessive resource forecast errors to extreme events like heatwaves, earthquakes, and cyberattacks. …”
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Experimental Determination of a Reflective Muffler Scattering Matrix for Single-Mode Excitation by Łukasz GORAZD

“…In case of the analysed reflective silencer, considered as a two-port system, the noise reduction was determined by calculating the transmission loss parameter (TL) based on the scattering matrix (S). …”
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Maximizing efficiency and performance of water distribution systems through the implementation of optimization algorithms: A comprehensive analysis of valve and chlorine booster pl... by Mohamadreza Najarzadegan, Mehrtash Eskandaripour

“…Additionally, the SMA algorithm outperformed GA in terms of computational efficiency and solution quality, achieving a 12 % lower error margin and a 33 % reduction in computational time. …”
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Development and Analysis of a Methodology for Selecting Infrastructure Metrics for Predictive Incident Monitoring by Andrew Egorkin

“…The results showed a 43% reduction in the Mean Absolute Error (MAE) of 30-minute CPU utilization forecasts, a 14-fold decrease in input time series, and an 89% reduction in model inference time. …”
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Pharmacist support in the entry of blood drug concentration test order avoids vancomycin-induced kidney injury by Naoki Yoshikawa, Chiaki Miyata, Hidehiko Koreeda, Shuichi Nakahara, Yuki Matsusaki, Yusei Yamada, Takehiko Nagano, Hidenobu Ochiai, Ryuji Ikeda

“…Similar significant reductions were observed in the propensity score matched cohort (from 11.9% to 0.0%, p  = 0.013). …”
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Stacked hybrid model for load forecasting: integrating transformers, ANN, and fuzzy logic by Elakkiya E, Antony Raj S, Arunkumar Balakrishnan, Bhavyasri Sanisetty, Revanth Balaji Bandaru

“…Furthermore, these techniques are prone to errors in the presence of noisy data and have scalability issues when used on big, high-dimensional datasets. …”
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Accurate hourly AQI prediction using temporal CNN-LSTM-MHA+GRU: A case study of seasonal variations and pollution extremes in Visakhapatnam, India by Sreenivasulu T, Mokesh Rayalu G

“…Statistical analyses, including MANOVA, ANOVA, and t-tests, uncovered seasonal pollution patterns, notably peaks during the winter and reductions during the monsoon. The model exhibited commendable generalizability when applied to the cities of Delhi and Mumbai (R² > 0.97) without necessitating retraining, and it showcased real-time applicability (0.08s/sample) even amidst high-AQI occurrences (MAPE = 4.58 % for AQI > 150). …”
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Evaluation of Near‐Surface Specific Humidity and Air Temperature From Atmospheric Infrared Sounder (AIRS) Over Oceans by Weikang Qian, Yixin Wen, Shang Gao, Zhi Li, Jesse Kisembe, Haotong Jing

“…The Atmospheric Infrared Sounder (AIRS) provides global estimates of near‐surface AT and SH estimates, with continuous improvements in accuracy leading to significant reductions in error rates. However, existing studies have not systematically validated AIRS near‐surface products in both temporal and spatial perspectives, especially over oceans. …”
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The Effectiveness of Electronic Differential Diagnoses (DDX) Generators: A Systematic Review and Meta-Analysis. by Nicholas Riches, Maria Panagioti, Rahul Alam, Sudeh Cheraghi-Sohi, Stephen Campbell, Aneez Esmail, Peter Bower

“…<h4>Background</h4>Diagnostic errors are costly and they can contribute to adverse patient outcomes, including avoidable deaths. …”
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Bayesian optimization with Gaussian-process-based active machine learning for improvement of geometric accuracy in projection multi-photon 3D printing by Jason E. Johnson, Ishat Raihan Jamil, Liang Pan, Guang Lin, Xianfan Xu

“…In each case, the active learning framework improves the geometric accuracy, with drastic reductions of the errors to within the measurement accuracy in just four iterations of the Bayesian optimization using only a few hundred of total training data. …”
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A Path Analysis—Generalized Method of Moments Based on a Nearest-Neighbor with Observed Variable Model for Developing New Scenario Policies to Reduce Greenhouse Gas Emissions from... by Pruethsan Sutthichaimethee, Phayom Saraphirom, Chaiyan Junsiri

“…This model incorporates white noise and addresses gaps in previous models, ensuring minimal forecasting errors. The findings highlight the need for the government to implement the most suitable policy scenario to achieve sustained reductions in agricultural waste over the next two decades (2025–2044). …”
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Causality-Driven Feature Selection for Calibrating Low-Cost Airborne Particulate Sensors Using Machine Learning by Vinu Sooriyaarachchi, David J. Lary, Lakitha O. H. Wijeratne, John Waczak

“…Similarly, for the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>PM</mi><mrow><mn>2.5</mn></mrow></msub></mrow></semantics></math></inline-formula> model, the proposed feature selection led to a 33.2% reduction in the mean squared error, outperforming the 30.2% reduction achieved by the SHAP value-based selection. …”
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差动丝杠机构的传动性能 by 陈曼龙

“…As a new transmission parts,Differential Roller Screw（DRS）has great reduction ratio.Through introducing principle of this screw and analyzing its motion performance,the parameter affected DRS’s motion characteristic is discussed and the equation of DRS’s motion relation is deduced.And the DRS ’s efficiency and transmission error are investigated.…”
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Stress and strength analysis of aluminum alloy structures under the effect of thermal and mechanical force by HE Zhiquan, QIU Huihui, SUN Yuheng, GUO Yujie, WEI Xiaohui

“…Therefore, considering the reduction effect of temperature on material parameters can establish a more accurate model for predicting structural strength. …”
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Improving prediction accuracy in agricultural markets through the CIMA-AttGRU model. by Yankun Jiang, Jinhui Liu, Xiaotuan Li

“…Our empirical results demonstrate a significant improvement in forecasting precision, with the CIMA-AttGRU model achieving a Mean Absolute Error (MAE) reduction of 15% and a Mean Squared Error (MSE) reduction of 20% compared to conventional models. …”
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Enhancing Supply Chain Efficiency Resilience Using Predictive Analytics and Computational Intelligence Techniques by Lixing Bo, Jie Xu

“…The Transformer model achieved a reduction in Mean Absolute Error (MAE) from 15.8 to 8.2 and Root Mean Squared Error (RMSE) from 22.3 to 11.5, demonstrating enhanced forecasting accuracy. …”
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Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge–Kutta with Aquila Optimizer by Rana Muhammad Adnan, Wang Mo, Ahmed A. Ewees, Salim Heddam, Ozgur Kisi, Mohammad Zounemat-Kermani

“…Results show that the LSTM-RUNAO model outperformed conventional ANN methods, achieving a 28.7% reduction in root mean square error (RMSE) and a 20.3% reduction in mean absolute error (MAE) compared to standard ANN models. …”
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