Multiple viewpoints projection hologram from multiple angular orthogonal projection images based on GPU by CAO Xuemei, ZHANG Chunxiao, GUAN Mingxiang, XIA Linzhong, GUO Lili, MIAO Yuhu, CAO Shiping

“…Compared to computations using a central processing unit (CPU), the proposed method demonstrates a significant speed improvement, achieving a computational efficiency increase of 30 ~ 40 times, which provides a feasible solution for efficiently generating multi-view projection holograms.…”
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Color and COD Removal from Textile Effluent Using Alum and FeCl3 Coagulation by wadees alabdi, Ali jwied jaeel

“…The aim of this research was to find out how the type and dosage of coagulant affect the removal of colour and COD from industrial wastewater containing dye using ferric chloride and Alum. The efficiency of these coagulants was determined using the jar test, which examined the percentage from dye removal in different wastewaters, coagulant dose, initial dye concentration, mixing velocity, and sedimentation duration. …”
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Empowering small-scale industries food safety: Designing fuzzy controlled pulse electric field pasteurization by Ika Noer Syamsiana, Mohammad Wildan Fikri Amrullah, Muhammad Akhlis Rizza, Wahyu Aulia Nurwicaksana, Zakiyah Irfin, Ratna Ika Putri, Cahya Rahmad

“…This is particularly the case with the use of heat-based preservation methods, which have the potential to reduce the content of essential nutrients. …”
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Thermo-chemical coupled finite element modeling of epoxy resin frontal polymerization: effects of temperature-dependent properties and boundary materials by Yating Ma, Tao Luo, Kazushi Yamada, Tingting Luo, Kunkun Fu, Xiaoyu Cui, Linmei Zhang

“…Frontal polymerization (FP) offers an efficient and energy-saving alternative to conventional curing methods for epoxy resins. …”
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UV Hyperspectral Imaging and Chemometrics for Honeydew Detection: Enhancing Cotton Fiber Quality by Mohammad Al Ktash, Mona Knoblich, Frank Wackenhut, Marc Brecht

“…Additionally, partial least squares regression (PLS-R) was utilized to predict the honeydew content for each pixel in hyperspectral images, achieving a cross-validation coefficient of determination <i>R</i>² = 0.75 and root mean square error of RMSE = 0.8 for the honey model. …”
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CNN-LSTM-Attention with PSO optimization for temperature and fault prediction in meat grinder motors by Yao Zhang, Pengfei Zhang, Wenchao Zhang, Mingwei Wang

“…Experimental results show that the mean absolute error (MAE) is reduced by 0.5656 and the coefficient of determination (R 2 ) is increased by 0.0619 in the CNN-LSTM-AP compared with other 5 prediction models. …”
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Structure Optimization and Performance Simulation of a Double-Disc Fertilizer Spreader Based on EDEM-CFD by Mingxiong Ou, Guanqun Wang, Ying Lu, Zhengji Zhang, Huijie Pan, Weidong Jia, Xiang Dong

“…The spreading width and the coefficient of variation (C_v) of fertilizer uniformity served as evaluation indicators. …”
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Deep learning-enabled exploration of global spectral features for photosynthetic capacity estimation by Xianzhi Deng, Xiaolong Hu, Liangsheng Shi, Chenye Su, Jinmin Li, Shuai Du, Shenji Li

“…Our results demonstrated that the new model outperformed traditional models, with an increase in the coefficient of determination (R2) of 0.01-0.43 and a decrease in root mean square error (RMSE) of 1.58-12.48 μmol m-2 s-1. …”
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Particle size characteristics of sliding-zone soil and its role in landslide occurrence: a case study of the Lanniqing landslide in Southwest China by Zongheng Xu, Zongheng Xu, Hongchen Ye, Hongchen Ye, Lingxu Li, Lingxu Li

“…Key parameters, including median particle size, mean particle size, sorting coefficient, skewness, and kurtosis, were then compared and analyzed to determine the most appropriate preprocessing method for evaluating the characteristics of the soil samples. …”
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Assessing above ground biomass of Wunbaik Mangrove Forest in Myanmar using machine learning and remote sensing data by Win Sithu Maung, Satoshi Tsuyuki, Takuya Hiroshima, San San Htay

“…The results revealed that the RF model outperformed the other models, yielding a higher coefficient of determination (R2) of 0.33 and a Root Mean Square Error (RMSE) of 32.05 Mg ha−1. …”
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Non-Linear Synthetic Time Series Generation for Electroencephalogram Data Using Long Short-Term Memory Models by Bakr Rashid Alqaysi, Manuel Rosa-Zurera, Ali Abdulameer Aldujaili

“…The proposed model’s performance was evaluated using the mean-squared error (MSE), Pearson’s correlation coefficient, and the power spectra of the synthetic and original signals, demonstrating the suitability of the proposed method for this application. …”
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scRDEN: single-cell dynamic gene rank differential expression network and robust trajectory inference by Han Zhang, Wei Zhang, Xiaoying Zheng, Yuanyuan Li

“…It is particularly noteworthy that scRDEN method yielded exceptional results when applied to the large-scale, multi-branched, double-batch mouse dentate gyrus data. …”
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Application of multi-layer discrete anisotropic radiative transfer model in vertical distribution inversion of maize leaf area index by DONG Zhen, YANG Guijun, SUN Lin, YANG Hao, ZHU Yaohui, LEI Lei, CHEN Riqiang, ZHANG Chengjian, LIU Miao

“…The results showed that the accuracy of the constraint optimization inversion model was higher than that of the single parameter inversion model. The coefficient of determination (R²) of LAI inversion results for top layer of maize increased by 0.022, root-mean-square error (RMSE) decreased by 0.016 m²/m², and normalized root-mean-square error (NRMSE) decreased by 1.3%. …”
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Development and validation of a risk prediction model for pulmonary tuberculosis among presumptive tuberculosis cases in Ethiopia by Kefyalew Addis Alene, Haileab Fekadu Wolde, Archie C A Clements

“…Logistic regression was used to determine which variables are predictive of pulmonary TB. …”
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Multiple-Feature Construction for Image Segmentation Based on Genetic Programming by David Herrera-Sánchez, José-Antonio Fuentes-Tomás, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, José-Luis Morales-Reyes

“…The segmentation is addressed as a pixel classification task; in this way, a wrapper approach is used, and the classification model’s segmentation performance determines the fitness. To validate the effectiveness of the proposed method, four datasets were used to measure the capability of the proposal to deal with different types of medical images. …”
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Research on the Rapid Detection of Formaldehyde Emission From Wood-Based Panels Based on the AMSHKELM by Yinuo Wang, Huanqi Zheng, Hua Wang, Yucheng Zhou

“…Experimental results indicate that the AMSHKELM model achieves the coefficient of determination of up to 0.9767 and the root mean square error of 2.7141e-03, demonstrating higher fitting accuracy and stronger robustness compared to various other models. …”
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Análise de conglomerados em curvas de aprendizado para formação de agrupamentos homogêneos de trabalhadores Cluster analysis of learning curves for grouping workers with homogeneou... by Renato Eduardo Stroieke, Flavio Sanson Fogliatto, Michel Jose Anzanello

“…The largest Adjustment Index (AI), derived from the Silhouette Index and Coefficient of Determination, indicates the model yielding superior adherence to data and better clustering of learning profiles. …”
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Relationship between Communication Skills and General Health in Nursing Students of Hamadan University of Medical Sciences by Roya Amini, Fariba Soleimani, Nahid Mohammadi, Tapak Leili

“…The students were selected by stratified random sampling method. The data gathering tools were Goldberg General Health Questionnaire (GHQ-28) and Jerabek’s communication skills, which were completed by the students through self-administration method. …”
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The Effect of the Direct Instruction Learning Model on Student Learning Outcomes on Theme 3 Healthy Food at Class V of State Primary School by Endang Lumban Gaol, Patri Janson Silaban, Anton Sitepu, Antonius Remigius Abi, Nova Florentina Ambarwati

“… This paper discusses the effect of the direct instruction learning model on student learning outcomes on theme 3 Healthy Food at class V of SD Negeri 173418 Pollung in the academic year 2023/2024. The research method used was an experimental method with a one-group pretest-posttest research design. …”
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Preoperative Estimation of Deep Inferior Epigastric Perforator Flap Weight Using Synapse Vincent 3-dimensional Analysis: A Feasibility Study by Nozomu Akamine, MD, Hajime Matsumine, MD, PhD, Hiroyuki Sakurai, MD, PhD

“…The regression formula was as follows: actual weight = 0.9391 × predicted weight + 68.98. The coefficient of determination (R²) was 0.88, and the root mean square percentage error was 17%, indicating high predictive accuracy. …”
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