Extracting Vitabiotic Pharmaceutical Substances from Berry Raw Materials: Optimization of Processes by Shkol’nikova M., Bakin I., Mustafina A., Aleksenko L.

“…The optical density indicator of extracts during extraction helped to establish the optimum parameters of the process: mash ratio – 1:15; ultrasonic exposure frequency – 22 kHz. The experiment determined the mass fraction of extractive substances and active components, as well as the values of extraction coefficients of the berry raw material. …”
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Predicting Market Value of Iranian Football Players using Linear Modeling Techniques by Rasool Nazari, Saeid Azari

“…The statistical population of the present study included all Iranian and foreign players working in the Iranian Football Premier League, which totaled 409 people the appropriate sample size for the research was calculated based on the community sampling formula and at a 5% error level, 200 people were calculated descriptive statistics was used for analysis and multiple regression method was used for inferential analysis.Results: Results showed that there is a significant relationship between player valuation and age variables, goalkeeper position, midfielder position, striker position, individual awards, foot position and number of games therefore, it can be concluded that when evaluating, the mentioned factors should be considered to attract the desired players of the clubs in the transfer seasons.Conclusion: In general, it can be acknowledged that the estimated coefficients of this model have the necessary efficiency to determine the market value of professional football players in the Iranian league.…”
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Optimizing Teacher Performance Through The Implementation Of Progressive Work Culture And Dynamic Leadership Styles by Asde Rahmamulyati, Yunus Handoko, Murtianingsih Murtianingsih

“…The sample or respondents in this study amounted to 31 teachers. Data collection method using questionnaire. Data analysis uses data quality tests, classical assumption tests, multiple linear regression and hypothesis testing, namely coefficients of determination, t tests, and f test. …”
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Skin hyperspectral imaging and machine learning to accurately predict the muscular poly-unsaturated fatty acids contents in fish by Yi-Ming Cao, Yan Zhang, Qi Wang, Ran Zhao, Mingxi Hou, Shuang-Ting Yu, Kai-Kuo Wang, Ying-Jie Chen, Xiao-Qing Sun, Shijing Liu, Jiong-Tang Li

“…With the spectral data processed with the SG, the RBF model achieved outstanding performance in predicting the EPA + DHA and PUFAs contents, yielding coefficients of determination (R2P) of 0.9914 and 0.9914, root mean square error (RMSE) of 0.3352 and 0.3346, and mean absolute error (MAE) of 0.2659 and 0.2660, respectively. …”
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Automatic measurement of proximal femoral morphological parameters using point cloud semantic segmentation technology by Yagang Wang, Qiulong Yang, Jiantao Li, Kaixuan Wang, Miaotian Tang

“…Based on these correspondences and femoral morphological features, automatically segment the test femur sample into the shaft, neck, and head. Numerical methods are used to determine the femoral shaft axis (using PCA combined with least-squares cylinder fitting), the femoral head center and radius (least-squares sphere fitting), as well as the eccentricity and femur length. …”
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Direct Algorithm for Bernstein Enclosure Boundary of Polynomials by Tareq Hamadneh, Hassan Al Zoubi, Ibraheem Abu Falahah, Mutaz Al-Sabbagh

“…To this end, we provide arithmetic operations and properties for obtaining a fast computational method of Bernstein coefficients. Furthermore, we give an algorithm for direct determination of the minimum and maximum Bernstein coefficients (enclosure boundary) in the simplicial multivariate case. …”
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New Approaches to Studying Prevalence Gallstone Disease by N. A. Khokhlacheva, T. S. Kosareva, A. P. Lukashevich

“…In portions “B” and “C” of bile obtained by multifractional duodenal sounding, the total concentration of bile acids, cholesterol and phospholipids was determined, and lithogenicity indices of bile were calculated: cholate-cholesterol and phospholipid-cholesterol coefficients. …”
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Automatic delineation of cervical cancer target volumes in small samples based on multi-decoder and semi-supervised learning and clinical application by Haibo Peng, Tao Liu, Pengcheng Li, Fang Yang, Xing Luo, Xiaoqing Sun, Dong Gao, Fengyu Lin, Lecheng Jia, Ningyue Xu, Huigang Tan, Xi Wang, Tao Ren

“…The introduction of the MDSSL method successfully improved the accuracy of auto-segmentation for the cervical cancer target volume in small samples, showed good consistency with RO delineation and satisfied clinical requirements. …”
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Research progress in the preparation and application of h-BN containing ceramics by Xusheng LIU, Xuekun TIAN, Zhenyi ZHAO, Donghong YAN, Tianpei YIN, Jinhua LIU, Xinmei HOU, Xinhong LIU

“…The fabrication of h-BN ceramics mainly relies on sintering, a critical final step in ceramic production that determines the ultimate performance of materials. However, the intrinsic properties of h-BN—characterized by strong covalent bonding, a high melting point, and a low solid-phase self-diffusion coefficient—present substantial challenges in achieving high-density sintered bodies. …”
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Advanced Characterization of Vitreous Hyperreflective Dots via OCT-Derived Metrics: A Cross-Sectional Study by William Rojas-Carabali, Jinghan Lin, Paola Saboya-Galindo, Eunice Jin Hui Goh, Joewee Boon, Carlos Cifuentes-González, Rupesh Agrawal

“…Abstract Introduction The use of optical coherence tomography (OCT) as a potential tool for the measurement of vitreous inflammation has been previously described as a more objective and reproducible method when compared to historically known subjective scales. …”
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Inversion algorithm of black carbon mixing state based on machine learning by Z. Tian, Z. Tian, J. Wang, J. Wang, J. Wang, J. Wang, C. Liu, C. Liu, J. Xing, J. Wang, J. Wang, Z. Zhang, Z. Zhang, Y. Jin, Y. Jin, S. Shen, S. Shen, B. Wang, B. Wang, W. Nie, W. Nie, X. Huang, X. Huang, A. Ding, A. Ding

“…Our model achieves high accuracy for both particle size inversion and optical cross-section inversion of BC-containing particles, with a coefficient of determination <span class="inline-formula"><i>R</i>²</span> higher than 0.98. …”
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Sesbania grandiflora activated carbon as a high-efficiency stable and reusable adsorbent for sustainable fluoride removal by D. Sivakumar, M. Perarul Selvan, J. Nouri, M. Juhi Jabin, S. Priyanka, G. Madhubala

“…Adsorption followed the Freundlich isotherm (coefficient of determination is 0.9976), suggesting a multilayer heterogeneous adsorption process. …”
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Contactless monitoring of respiratory rate (RR) and heart rate (HR) in non-acuity settings: a clinical validity study by Muralidhar Varma, Manikanda Krishnan Vaidyanathan, Joseph Thomas, Trevor Sequeira, Navaneetha Krishnan S Naidu, Yogish Mallya, Amarendranath Sunkara, Praveen Patil, Nagaraj Poojary, Benoît Balmaekers, Shankar Prasad N, Sulochana Badagabettu

“…Contactless RR monitoring was linearly correlated with Alice NightOne and manual counts, presenting coefficients of determination of 0.88 and 0.90, respectively. …”
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The Effectiveness of Educational Intervention in Promoting Preventive Behaviors of Dengue Fever in Southern Iran: Applying Health Belief Model (HBM) by Asiyeh Yari, Shokrollah Mohseni, Roghayeh Ezati Rad, Zahra Hosseini, Nahid Shahabi, Teamur Aghamolaei

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An Unsupervised Learning Approach for Coal Spontaneous Combustion Warning Level Classification Using t-SNE and k-Means Clustering by Pengyu Zhang, Xiaokun Chen

“…The clustering results of the original data were compared with Principal Component Analysis (PCA) and Stochastic Neighbor Embedding (SNE) methods to determine coal spontaneous combustion warning levels. …”
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Artificial intelligence-optimized shield parameters for soft ground tunneling in urban environment: A case study of Bangkok MRT Blue Line by Sahatsawat Wainiphithapong, Chana Phutthananon, Sompote Youwai, Pitthaya Jamsawang, Phattarawan Malaisree, Ochok Duangsano, Pornkasem Jongpradist

“…Using long short-term memory (LSTM) neural networks as predictive models, the results yield coefficient of determination (R2) values of 0.81 and 0.96, root mean square error (RMSE) values of 5.91 mm/min and 3.09 mm, and average bias factor values of 0.99 and 0.88 for the P and S predictive models, respectively, based on validation datasets. …”
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Machine Learning Models for the Prediction of Wind Loads on Containerships by Nastia Degiuli, Carlo Giorgio Grlj, Ivana Martić, Sandi Baressi Šegota, Nikola Anđelić, Darin Majnarić

“…The models showed satisfactory performance on an evaluation set, with high coefficients of determination. The models based on the gradient-boosted tree method slightly outperformed those based on the multilayer perceptron method, particularly in terms of mean absolute error. …”
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Adsorption of Methylene Blue Dye onto Various Marine Sediments and Seagrass Biomass of <i>Posidonia oceanica</i> Species: Kinetics and Equilibrium Studies by Maria C. Vagi, Andreas S. Petsas, Dionysia Dimitropoulou, Melpomeni Leventelli, Anastasia D. Nikolaou

“…According to the experimental findings, phycoremediation by using <i>P. oceanica</i> can be characterized as an efficient method for the bioremediation of dye-polluted wastewater.…”
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Use of Fourier transform infrared spectroscopy and chemometric analysis to predict the bacilloscopic index in the saliva of leprosy patients by Paulo Cezar de Moraes, Maria Lúcia Scroferneker, Alessandra Koehler, Letícia Maria Eidt, Cristiane Almeida Soares Cattani, Valeriano Antonio Corbellini

“…The PLS model with three latent variables and one OSC component obtained a coefficient of determination greater than 0.9999 in both the calibration and prediction sets. …”
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Study on Suppression of Vortex-Induced Vibrations of a Rotating Cylinder with Dual Splitter Plates by Jiaqi Li, Qiongfang Qi, Zonghao Sun, Yongkang Yang, Yaowen Han, Wei Chen, Jiangyan Shao, Binrong Wen, Xiaobin Li

“…To investigate the suppression method for vortex-induced vibrations (VIV) of two-degree-of-freedom (2-DOF) rotating cylinders with dual splitter plates, numerical simulations are conducted at a Reynolds number of 200, a mass ratio of 2.6, and rotation ratio of 2. …”
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