Recognition of field-grown tobacco plant type characteristics based on three-dimensional point cloud and ensemble learning by JIA Aobo, DONG Tianhao, ZHANG Yan, ZHU Binglin, SUN Yanguo, WU Yuanhua, SHI Yi, MA Yuntao, GUO Yan

“…The results indicated the coefficients of determination (R²) of the plant height and maximum width of leaf layer extracted from the 3D point cloud were all greater than 0.97, and the root mean square errors were 3.0, 3.1 cm, respectively. …”
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Speckle-Based Transmission and Dark-Field Imaging for Material Analysis with a Laboratory X-Ray Source by Diego Rosich, Margarita Chevalier, Tatiana Alieva

“…The experimental results on the ODD dependence of T and DF signals are consistent with recently reported numerical simulation results of these signals. The absorption coefficients derived from T images are largely independent of the ODD and the speckle-based method used, making them a universal parameter for material discrimination. …”
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MATHEMATICAL LOW-REYNOLDS MODELING OF HEAT EXCHANGE IIN TURBULENT FLOW IN FLAT CHANNELS WITH TURBULATORS SYMMETRICALLY LOCATED ON BOTH SIDES by I. E. Lobanov

“…The developed theoretical method based on the solution of the Reynolds equations by the factored finite-volume method, combined with the energy equation on multiscale intersecting structured grids and closed by means of the Menter shear stress transport model, makes it possible, with reasonable accuracy, to calculate heat exchange coefficients and hydraulic resistance in flat channels of practically any forms of double symmetrically located flow turbulators.…”
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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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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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Presenting the model of academic resilience based on behavioral brain systems and academic perfectionism with the mediator role of emotional dyslexia by Esmaiel Soleimani, ali noori, mohammad narimani, ali esazadeghan

“…Abstract The aim of the present study was to investigate the structural equation model between behavioral brain systems and perfectionism with academic resilience with the mediating role of emotional dyslexia. The research method was correlative study of structural equation model type. …”
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Enhancing Healthcare Efficiency: The Relationship Between Effective Communication and Teamwork Among Nurses in Peru by Monica Elisa Meneses-La-Riva, Víctor Hugo Fernández-Bedoya, Josefina Amanda Suyo-Vega, Hitler Giovanni Ocupa-Cabrera, Rosario Violeta Grijalva-Salazar, Giovanni di Deus Ocupa-Meneses

“…Methods: The research employed a quantitative, correlational, cross-sectional approach with a non-experimental design. …”
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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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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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Quantification of Estrogen Receptor-Alpha Expression in Human Breast Carcinomas With a Miniaturized, Low-Cost Digital Microscope: A Comparison with a High-End Whole Slide-Scanner. by Oscar Holmström, Nina Linder, Mikael Lundin, Hannu Moilanen, Antti Suutala, Riku Turkki, Heikki Joensuu, Jorma Isola, Vinod Diwan, Johan Lundin

“…Interobserver agreement (Cohen's kappa) was measured and correlation coefficients (Pearson's product-momentum) were calculated for comparison of the methods.…”
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RISK TO POPULATION HEALTH DURING RECLAMATION OF LANDS DISTURBED IN COAL MINING by Вера Викторовна Кислицына, Дмитрий Вячеславович Суржиков, Роман Анатольевич Голиков, Юлия Сергеевна Ликонцева

“…The study aim was to assess the health risk to the population exposed to atmospheric emissions during reclamation work at a liquidated coal mine. Materials and methods. The study was conducted at the industrial site of Sibenergougol LLC, located in the Kuibyshevsky district of Novokuznetsk. …”
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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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