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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Predicting strength in polypropylene fiber reinforced rubberized concrete using symbolic regression AI techniques by Ahmed A. Alawi Al-Naghi, Kinza Aamir, Muhammad Nasir Amin, Bawar Iftikhar, Kashif Mehmood, Muhammad Tahir Qadir

“…Among the two, the MEP model demonstrated stronger predictive capability, achieving a coefficient of determination of 0.90 and a mean absolute error of 3.83 MPa. …”
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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

“…Methods: The zapateado (ZAP-3) technique sequence based on 30 cycles composed of six repeating sequences of taps performed with right and left feet was analyzed. …”
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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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Plant Disease Segmentation Networks for Fast Automatic Severity Estimation Under Natural Field Scenarios by Chenyi Zhao, Changchun Li, Xin Wang, Xifang Wu, Yongquan Du, Huabin Chai, Taiyi Cai, Hengmao Xiang, Yinghua Jiao

“…PDSNetx0.5 achieved an overall F1 score of 91.96%, an Intersection over Union (IoU) of 85.85% for segmentation, and a coefficient of determination (R²) of 0.908 for severity estimation. …”
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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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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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Enhanced household energy consumption forecasting using multivariate long short-term memory (LSTM) networks with weather data integration by Aditya Pai H, Kritika Kumari Mishra, Mahesh T R, J V Muruga Lal Jeyan, Anu Sayal

“…Empirical outcomes prove a considerable improvement over traditional forecasting models, which reach a Mean Squared Error (MSE) of 0.02063 and a Root Mean Squared Error (RMSE) of 0.14363, a Mean Absolute Error (MAE) of 0.107, a Mean Absolute Percentage Error (MAPE) of 0.155, and a Coefficient of Determination (R²) of 0.724. This work uniquely combines Self-Supervised Learning (SSL) with multivariate LSTM models, significantly improving feature extraction and alleviating limitations witnessed in current hybrid models, most notably with respect to handling intricate temporal dependencies and mitigating computational overhead within resource-limited settings.…”
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The Use of Catheter Mount Will Result in More Reliable Carbon Dioxide Monitoring under Fluid Exposing Conditions by Yongil Cho, Wonhee Kim, Tae Ho Lim, Hyuk Joong Choi, Jaehoon Oh, Bossng Kang, Youjin Kim, In Young Kim

“…Methods. In 25 healthy adults, a prospective, open label, crossover study was conducted to examine the effect of DCCM in mainstream and microstream capnometers under water exposing conditions. …”
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Novel Recurrent neural networks for efficient heat transfer analysis in radiative moving porous triangular fin with heat generation by Sana Ullah Saqib, Umar Farooq, Nahid Fatima, Yin-Tzer Shih, Ahmed Mir, Lioua Kolsi

“…The effectiveness of Recurrent Neural Networks (RNNs) is rigorously proved through extensive experiments, demonstrating iterative convergence curves for mean squared error, control metrics of optimization and error distribution via histograms.The mean absolute percent error (MAPE), mean absolute error (MAE), and Nash-Sutcliffe efficiency (NSE) are all nearly zero, while the coefficient of determination (R2) is close to 1.Furthermore, there is strong evidence of the prediction accuracy and dependability of the RNN in the regression results for the HTMPTHG model.…”
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MetaForecaster: A PSO-Driven Neural Model for Sustainable Industrial Air Quality Management by Marzia Ahmed, Shahrin Islam, Mohd Herwan Sulaiman, Md Maruf Hassan, Touhid Bhuiyan

“…Comparative analyzes with established hybrid forecasting approaches, such as Genetic Algorithm-NN, Simulated Annealing-NN, and Differential Evolution-NN, demonstrate the superior performance of the proposed PSO-NN model, achieving notably low prediction errors (MSE: <inline-formula> <tex-math notation="LaTeX">$1.1941 \times 10^{-7}$ </tex-math></inline-formula>), MAPE: 0.0016 and a high coefficient of determination (<inline-formula> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula>: 0.99999). …”
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Discordance of HER2 between primary tumors and lymph node metastatic lesions in invasive breast cancer by Noviana Nugrohowati, Sumadi Lukman Anwar, Juwaryani Juwaryani, Firda Ridhayani

“…Methods A cross-sectional study was conducted involving 30 invasive breast cancer patients. …”
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Deep learning for automated segmentation of radiation-induced changes in cerebral arteriovenous malformations following radiosurgery by Hsing-Hao Ho, Huai-Che Yang, Wen-Xiang Yang, Cheng-Chia Lee, Hsiu-Mei Wu, I-Chun Lai, Ching-Jen Chen, Syu-Jyun Peng

“…The average Dice similarity coefficient in these comparisons was 71.8%. Conclusions The proposed segmentation algorithm achieved results on par with conventional manual calculations in determining the volume of RICs, which were shown to peak at the end of the first year after SRS and then gradually decrease. …”
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Study on the Relationship Between Species Richness and Morphological Diversity of Higher Categories in Scarabaeoidea by Yumeng Qiao, Yijie Tong, Zhehao Tian, Ning Liu, Ming Bai

“…Evolutionary biology faces the important challenge of determining how to interpret the relationship between selection pressures and evolutionary radiation of species. …”
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Validation and Comparison of DEBQ and TEMS in Assessing Eating Behaviours in the Romanian Adult Population by Ana Maria Gal, Oana Dumitrascu, Andreea Gherasim, Otilia Nita, Alina Delia Popa, Laura Mihalache, Lidia Iuliana Arhire

“…Methods: We tested (with the consent of the authors of the original questionnaires) the psychometric properties of the Romanian versions of DEBQ and TEMS on an adult general population and explored associations of eating behaviour with weight status with both questionnaires. …”
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The Relationship between Attention and Balance in Children with Cerebral Palsy: A Comparative Preliminary Study in Diplegia and Hemiplegia by mahrokh ghahari, Aliyeh Daryabor, mino kalantari, ashkan irani, zahra Shafiee

“…Spearman's correlation coefficient was calculated to determine the relationship between attention and balance, with a significance threshold of α=0.05. …”
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Relationship Between Craniovertebral Angle and Upper Trapezius Muscle Stiffness and Tone in Office Workers by Yoon-ji Lee, Sung-hoon Jung, Jun-hee Kim, Oh-yun Kwon

“…Pearson’s correlation coefficient was used to investigate the relationship between CVA and stiffness and tone of the UT muscle. …”

The development of open bite in patients with adenoid hypertrophy: clinical and radiological examination by M. E. Makarova, Z. S. Khabadze, Yu. A. Generalova, A. A. Kulikova, F. V. Badalov, M. Yu. Dashtieva, A. Yu. Umarov

“…To study the prevalence of adenoid hypertrophy in children aged 7 to 9 years with anterior open bite, paying special attention to the characteristics of the factors determining the development of this malocclusion.MATERIALS AND METHODS. 60 children aged 7 to 9 years with an orthodontic diagnosis of anterior open bite were included in the study. …”
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Assessment of minimum clinically important difference in symptoms and functionality of Japanese patients with major depressive disorder following inadequate response to antidepress... by Hikaru Hori, Masako Shiosakai, Yoshiyuki Shibasaki, Kentaro Yamato, Kentaro Yamato, Yilong Zhang

“…Here, we conducted a post hoc analysis to determine the MCID in Montgomery–Åsberg Depression Rating Scale (MADRS), Sheehan Disability Scale (SDS), and EQ-5D-5L-derived utility score. …”
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Test–Retest Reliability and Concurrent Validity of Photoplethysmography Finger Sensor to Collect Measures of Heart Rate Variability by Donald W. Rogers, Andreas T. Himariotis, Thomas J. Sherriff, Quentin J. Proulx, Megan T. Duong, Sabrina E. Noel, David J. Cornell

“…Additionally, similar standard errors of the mean, coefficient of variation, and minimal detectable change metrics were observed across all devices. …”
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