Quantitative Analysis of 3-Monochloropropane-1,2-diol in Fried Oil Using Convolutional Neural Networks Optimizing with a Stepwise Hybrid Preprocessing Strategy Based on Fourier Tra... by Xi Wang, Siyi Wang, Shibing Zhang, Jiping Yin, Qi Zhao

“…Under the optimal hyperparameter settings, calibration model achieved a determination coefficient (R²_C) of 0.9982 and root mean square error (RMSEC) of 0.0181 during validation, along with a 16% performance enhancement enabled by the stepwise hybrid preprocessing strategy. …”
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A Deep Sparse Capsule Network for Non-Invasive Blood Glucose Level Estimation Using a PPG Sensor by Narmatha Chellamani, Saleh Ali Albelwi, Manimurugan Shanmuganathan, Palanisamy Amirthalingam, Emad Muteb Alharbi, Hibah Qasem Salman Alatawi, Kousalya Prabahar, Jawhara Bader Aljabri, Anand Paul

“…DSCNet’s performance was evaluated using Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Relative Difference (MARD), and coefficient of determination (R²), yielding values of 3.022, 0.05, 0.058, 0.062, 10.81, and 0.98, respectively.…”
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The Number of Microbubbles Generated During Cardiopulmonary Bypass Can Be Estimated Using Machine Learning From Suction Flow Rate, Venous Reservoir Level, Perfusion Flow Rate, Hema... by Satoshi Miyamoto, Zu Soh, Shigeyuki Okahara, Akira Furui, Taiichi Takasaki, Keijiro Katayama, Shinya Takahashi, Toshio Tsuji

“…In clinical practice, although the inclusion of clinical procedures slightly decreased the estimation accuracy, a high coefficient of determination for 30 clinical cases (<italic>R²</italic> &#x003D; 0.8576) was achieved between measured and estimated MB count rates. …”
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Effect of Awareness and Perceived Self-Efficacy on Breast Cancer Preventive Behaviors in Women; A Case Study of Neyshabur City by Zakieh Sadat Hoseini, Hamid Tavakoli ghouchani, Hamidreza Mohaddes Hakak, Hossein Lashkardoost, Mehdi Khankolabi, Ali Mehri, Elahe Salari

“…Data were analyzed by SPSS 19 software, using Pearson correlation coefficient and linear regression method. Findings: There was a significant positive correlation between the mean scores of awareness (r=0.179; p=0.005) and perceived self-efficacy of women (r=0.211; p=0.001) with the preventive behaviors of breast cancer. …”
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Hyperspectral imaging for one-step growth simulation of Brochothrix thermosphacta in chilled beef during storage by Xiaohua Liu, Binjing Zhou, Jin Song, Kang Tu, Jing Peng, Weijie Lan, Jing Xu, Jie Wu, Juqing Wu, Leiqing Pan

“…Consequently, Model Ⅰ showed the best ability to predict the microbial loads of B. thermosphacta, with the coefficient of determination (Rv2) and root mean square error in internal validation (RMSEV) of 0.921 and 0.498 (lg (CFU/g)). …”
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A New 5-D Hyperchaotic System With a Line Equilibrium, Its Bifurcation Analysis, Circuit Simulation, FPGA Implementation, and Data Prediction Using Long-Term-Short Memory by Talal Bonny, Sundarapandian Vaidyanathan, Wafaa Al Nassan, Aceng Sambas, Fareh Hannachi, Maher Alrahhal, Chittineni Aruna

“…The Mean Square Error (MSE), Root Mean Square Error (RMSE), and the coefficient of determination (<inline-formula> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula>) metrics are used to evaluate the prediction performance of the proposed LSTM model. …”
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Remote Estimation of Above-Ground Biomass Throughout the Entire Growth Period for Crops with Conspicuous Spikes by Qiaoling Zhang, Yan Gong, Yubin Chen, Yalan Huang, Tingfan Wang, Siyu Zhang, Minzi Wang, Yi Peng, Feng Jiang, Fan Yang, Xingqi Wang

“…This model can accurately estimate AGB in both rice and sorghum throughout the entire growth period, which has a coefficient of determination (R²) above 0.88 and the relative root mean square error (rRMSE) below 20.13% in both crops. …”
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Cutting-edge approaches to specific energy prediction in TBM disc cutters: Integrating COSSA-RF model with three interpretative techniques by Jian Zhou, Zijian Liu, Chuanqi Li, Kun Du, Haiqing Yang

“…In particular, the Chebyshev map-SSA-RF (CHSSA-RF) model achieves the most satisfactory prediction accuracy among all models, resulting in the highest coefficient of determination R2 and dynamic variance-weighted global performance indicator values (0.9756 and 0.0814) and the lowest values of root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) (6.4742, 4.0003, and 20.41%). …”
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Investigating the Knowledge of General Dental Students and Residents Regarding Practical Self-Assessment Skills by Fatemeh Sadat Sajadi, Zahra Salari, MohadeseSadat TabatabaeiRad, Ali Abedi, Reyhaneh Aftabi

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Keratorefractive Surgery for Residual Refractive Error Correction in Pseudophakic Patients by Е. P. Gurmizov, К. B. Pershin, N. F. Pashinova, А. Iu. Tsygankov

“…Conclusion. The high efficiency of the correction using the LASIK, PRK and femtoLASIK methods on pseudophakic eyes with the achievement of the target refraction in most of the studied cases was shown. …”
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The Flexible Work Practices and Employee Performance: An Empirical Study on Productivity Outcomes by Nabila Vidi Paramestri, Ria Arifianti, Ratna Meisa Dai

“…In the context of evolving workplace trends, FWA is seen as a strategic approach to enhance productivity, efficiency, and work satisfaction. Method: The research employs a quantitative method with a descriptive-verificative approach. …”
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Brain Derived Neurotrophic Factor and cognitive markers in subjects with Alzheimer’s disease by Naybí Prendes Rivero, Levis Verde Corvo, Belkis López González, Iris Dany Carmenate Rodríguez, Nibaldo B Mesa Hernández, María A Robinson Agramonte

“…A neuropsychological test battery, and the immunoenzymatic method (ELISA), Promega Emax Kit were applied to determine the serum brain-derived neurotrophic factor levels. …”
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The Persian Version of the Nottingham Leisure Questionnaire: Translation, Cultural Adaptation, and Psychometric Properties by Majid Farhadian, Mitra Khalafbeigi, Malahat Akbarfahimi, Peyman Abharian, Farzaneh Yazdani, Ali Shoaei

“…Face and content validity were assessed by determining the impact score of the item, content validity ratio, and content validity index methods. …”
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Reliability of an Inertial Measurement System Applied to the Technical Assessment of Forehand and Serve in Amateur Tennis Players by Lucio Caprioli, Cristian Romagnoli, Francesca Campoli, Saeid Edriss, Elvira Padua, Vincenzo Bonaiuto, Giuseppe Annino

“…The collected data were processed to extract performance metrics. The percentage coefficient of variation for repeated measurements, Wilcoxon signed-rank test, and Spearman’s correlation were used to determine the system’s reliability. …”
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Rhythm or symmetry? What matters more in flamenco footwork? by Wanda Forczek-Karkosz, Robert Michnik, Katarzyna Nowakowska-Lipiec, Alfonso Vargas Macías, Irene Baena Chicón, Sebastián Gómez Lozano, Joanna Gorwa

“…The main purpose of this study was to determine whether the rhythm tapped by the flamenco dancer’s feet occurs with the symmetry in the lower limb movements. …”
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Analyzing Agricultural Land Price Prediction Using Linear Regression and XGBoost Machine Learning Algorithms: A Case Study of Çanakkale by Simge Doğan, Levent Genç, Sait Can Yücebaş, Metin Uşaklı

“…The results showed that XGBoost (R2 = 0.66) has an advantage in terms of coefficient of determination values compared to MLR (R2 = 0.01). …”
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Emotional Eating on Sedentary Workers: Is It Caused by Individual Characteristics, Exercise Habits, and Work Stress? by Pindi Dwi Irwansyah, Shintia Yunita Arini, Endang Dwiyanti, Dominikus Raditya Atmaka, Bian Shabri Putri Irwanto, Farahul Jannah

“…Methods: This quantitative research was carried out through analytical observational design. …”
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GRAVITY VARIATIONS AND RECENT GEODYNAMICS OF THE SOUTH-WESTERN PART OF THE BAIKAL REGION by V. Yu. Timofeev, Ye. N. Kalish, Yu. F. Stus', D. G. Ardyukov, G. P. Arnautov, M. G. Smirnov, A. V. Timofeev, D. A. Nosov, I. S. Sizikov, E. V. Boiko, E. I. Gribanova

“…Modern methods for determination of gravity values make it possible to obtain measurements with the accuracy up to 10–9 from g0 of the normal value (up to 1 microgal = 10 m/sec2). …”
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Data-driven machine learning with lattice distortion and thermodynamic parameters guided strength optimization of refractory high-entropy alloys by Shujian Ding, Yifan Zhang, Siyang Lei, Xiang Weng, Wenhui Li, Wei Ren, Jian Chen, Weili Wang

“…The optimal descriptor set consists of T, Gmix, D.B, VEC, μ, δr, and the resultant model obtained a determination coefficient (R2) of 0.88 and a mean absolute error (MAE) of 0.162 GPa in 10-fold cross validation, exhibiting remarkable accuracy and generalization. …”
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Computer Literacy and Utilization of Health Information Technology in Nurses\' Documentation and Plan of Care by Sittie Ariefah J. Abdulkhaled, Hamdoni K. Pangandaman

“…Background: Integrating health information technology (HIT) in health care is essential for enhancing the quality, efficiency, and safety of patient care, particularly in nursing documentation and care planning. …”
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