Back Propagation Neural Network model for analysis of hyperspectral images to predict apple firmness by Shuiping Li, Yueyue Chen, Xiaobo Zhang, Junbo Wang, Xuanxiang Gao, Yunhong Jiang, Zhaojun Ban, Cunkun Chen

“…The performance of seven preprocessing algorithms and two feature selection algorithms was evaluated. The coefficient of determination (R2) and root mean square error (RMSE) of Partial Least Squares (PLS) models are contrasted using various inputs. …”
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Removal of methylene blue from synthetic industrial wastewater by using geopolymer prepared from partially dealuminated metakaolin by Khaled Elewa, A. F. Tawfic, Mostafa Tarek, Nabil Abdullah Al-Sagheer, Nabil M. Nagy

“…The experimental data indicated that Freundlich isotherm model was the best-fit model to describe the sorption of MB on the synthesised geopolymer with higher determination coefficients R2 of 0.996. Value of n greater than unity indicates a favourable adsorption taking place. …”
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DIFFERENTIAL DIAGNOSIS OF TEMPOROMANDIBULAR DISORDERS WITH THE USE OF DEVELOPED COMPUTER PROGRAM TO DEFINE THE INDIVIDUAL RISK OF THEIR DEVELOPMENT by A.D. Telishevska

“…That described correlation coefficients for the pair by Spearman method. According to a survey of 135 patients with various forms of TMD or their combination the correlation coefficients for each pair of diagnosis are calculated. …”
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IMAGE PROCESSING AT ELLIPSOIDAL PHOTOMETRY by M. A. Bezuglyi, N. V. Bezuglaya, A. B. Samilyak

“…Obtained results of zone distribution of illumination across the field in real experimental photometric images during biometrics showed correlation with the total transmission, absorption and diffuse scattering coefficients. This interdependence may be important part of improvement inverse methods of determination the optical parameters of biological media.…”
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Weaning performance prediction in lactating sows using machine learning, for precision nutrition and intelligent feeding by Jiayi Su, Xiangfeng Kong, Wenliang Wang, Qian Xie, Chengming Wang, Bie Tan, Jing Wang

“…Eleven statistical and machine learning (ML) regression algorithms were employed, incorporating stratified sampling and the recursive feature elimination method for feature selection. The findings demonstrated that the ensemble learning models, specifically random forest and gradient boosting decision tree regression, delivered the best overall performance, with a coefficient of determination (R2) ranging from 0.40 to 0.80 and a mean absolute error (MAE) between 0.11 and 4.36. …”
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Development of an XGBoost-based prediction model for wound recurrence risk in diabetic foot ulcer patients treated with antibiotic-loaded bone cement by Yi Zhang, Yi Zhang, Xingyu Sun, Cheng Cheng, Nianzong Hou, Nianzong Hou, Shiliang Han, Xin Tang

“…BackgroundThis study aims to improve the surgical cure rate, develop interventions to reduce the incidence of postoperative nonunion or recurrence of diabetic foot wounds, and formulate an optimal prediction model to quantify the predictive risk value of antibiotic bone-cement failure in the treatment of diabetic foot.MethodsThe training and test sets were created once the cases were collected. …”
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Intra‐ and interobserver reproducibility of transvaginal ultrasound for the detection and measurement of endometriotic lesions of the bowel by Prubpreet Chaggar, Tina Tellum, Abigail Cohen, Davor Jurkovic

“…Our study aimed to assess the intra‐ and interobserver reproducibility of transvaginal ultrasound between an experienced and less experienced examiner for all of these parameters. Material and methods This prospective observational cross‐sectional study was conducted between July 2019 and November 2020. …”
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Correlation of Calcium, Magnesium, Uric Acid and Phosphate Levels in Serum, 24-Hour Urine, and Stone Components in Patients with Urolithiasis: A Cross-sectional Study by Pranav Prakash, Shikhar Agarwal, Archana Prakash, Anita Sharma, Ashok Kumar Dogra, Sanjay Dvivedi

“…Urinary stones postsurgery were sent to the biochemistry section of the reference laboratory for semi-quantitative colorimetric determination and morphological analysis. Spearman’s Rank correlation coefficient was used to correlate two quantitative variables and a p-value of <0.05 was considered statistically significant. …”
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Desenvolvimento de uma régua para medidas de área foliar do algodoeiro Development of a ruler for measurements of leaf area of the cotton plant by José Fideles Filho, Napoleão E. de M. Beltrão, Antonildo S. Pereira

“…The analysis of regression between the leaf area measured in samples of leaves and the estimated areas showed a good adjustment with coefficient of determination equal to 0.95. Comparing the means of both the methods, it was verified that the mean leaf area of the four cultivars of cotton, measured with the proposed ruler, did not differ statistically from the mean area measured with the planimeter. …”
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THE RELATIONSHIP BETWEEN SMOKING HABITS AND WORK STRESS AMONG BOARD OPERATORS IN ELECTRICITY COMPANIES: CROSS-SECTIONAL STUDY by Dhea Aulia Hera Wardoyo, Yustinus Denny Ardyanto Wahyudiono

“…The strength of the relationship test was carried out with the contingency coefficient test to determine the strength of the relationship between variables. …”
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Investigating the level and predictors of nursing care quality and its correlation with workplace ostracism and innovative work behavior: approach for workplace and practical enhan... by Aziza Z. Ali, Sameer A. Alkubati, Eddieson Pasay-an, Maha Alreshidi, Nojoud Alrashidi, Ohoud Alabonassir, Nouf Alshahrani, Samah R. Elrefaey, Laila A. Hamed

“…Pearson’s correlation coefficient was used to determine the relationships between study variables. …”
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Non-Contrast MRI Sequences for Ischemic Stroke: A Concise Overview for Clinical Radiologists by Bachtiar NA, Murtala B, Muis M, Ilyas MI, Abdul Hamid H, As'ad S, Tammasse J, Wuysang AD, Soraya GV

“…Standard MRI sequences—such as T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), fluid-attenuated inversion recovery (FLAIR), diffusion-weighted imaging (DWI), DWI-FLAIR mismatch, and apparent diffusion coefficient (ADC)—are essential for determining infarct location, volume, and age. …”
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Indicators of Obesity and Cardiorespiratory Fitness in Croatian Children by Marko Badrić, Leona Roca, Vladan Pelemiš, Dragan Branković, Vladimir Živanović

“…Regression analysis showed statistical significance for the set of predictor variables, which were BMI indicators, on the criterion variable predicting cardiorespiratory fitness (CRF) in both genders. The coefficient of determination (R²) explained almost 22% of the shared variability in boys and 19% in girls. …”
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BEEHIVES AND HONEY PRODUCTION - A BRIEF STATISTICS IN THE WORLD AND EUROPEAN UNION 2000-2022 AND HONEY BEES BETWEEN INTERLINKED CRISIS OF BIODIVERSITY, POLLUTION AND CLIMATE CHANGE by Agatha POPESCU, Toma Adrian DINU, Elena STOIAN, Valentin SERBAN

“…The statistical data for the period 2000-2022 provided by FAOStat, Knoema, Eurostat and other official data bases have been processed using fixed basis and structural indices, trend regression equations (linear and polynomial), R square, descriptive statistics, regression analysis, correlation coefficient, comparison method. Compared to 58.8 million beehives in the world in the year 2000, in 2022 their number reached 102 million (+76.3%). …”
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Keys to learning Physical Education during confinement (Claves para aprender Educación Física durante el confinamiento) by Sagrario Del Valle Díaz, Esther Cabanillas Cabanillas Cruz, Eduardo Villamil Cabello, Ricardo de la Vega Marcos

“…Guided by the teachers´ competence and expectancy-value and interest motivation theories. Method: 686 high school students (297 male and 390 women) from 17 Spanish regions of different social classes and level of instruction, provided data on expectancy beliefs and perceived knowledge of learning competence of physical education, intrinsic motivation, and teachers’ competence. …”
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Modeling pine forest growing stock volume in subtropical regions of China using airborne Lidar data by Zige Lan, Xiandie Jiang, Guiying Li, Yagang Lu, Hongwen Yao, Dengsheng Lu

“…The results indicate that: (1) HBA(Site), which models different pine forest types (i.e. pure pine forest (PPF) and mixed pine forest (MXF)) separately, with typical site as a stratification factor, provided the best estimation results with coefficient of determination (R2) of 0.80 and 0.74, root mean square error (RMSE) of 25.15 m3/ha and 23.86 m3/ha for PPF and MXF, respectively. …”
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ANALISIS KEPEMIMPINAN TERHADAP KINERJA TENAGA KEPENDIDIKAN UNIVERSITAS BUANA PERJUANGAN KARAWANG by Aji Tuhagana, Syifa Pramudita Faddila

“…The results showed that the leadership variable with the performance of educational staff showed a very low relationship (0.366) and positive patterned, also the coefficient of determination (R2) = 0.134, which means that the leadership variable explained the performance of the teaching staff by 13.4%, while the rest influenced by other variables outside this study. …”
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HUBUNGAN KADAR KOLESTEROL DENGAN TEKANAN DARAH PENDERITA HIPERTENSI DI DUSUN SIDOMULYO DESA REJOAGUNG KECAMATAN PLOSO KABUPATEN JOMBANG The Correlation of Cholesterol levels with... by HENI MARYATI

“…The population is all patients with hypertension in Sidomulyo Rejoagung Village District of Ploso Jombang of the total sampling method, a number of 34 people. Cholesterol levels were measured used a cholesterol digital gauges, while the blood pressure is measured used a sphygmomanometer and stethoscope. …”
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ANALISIS KEPEMIMPINAN TERHADAP KINERJA TENAGA KEPENDIDIKAN UNIVERSITAS BUANA PERJUANGAN KARAWANG by Aji Tuhagana, Syifa Pramudita Faddila

“…The results showed that the leadership variable with the performance of educational staff showed a very low relationship (0.366) and positive patterned, also the coefficient of determination (R2) = 0.134, which means that the leadership variable explained the performance of the teaching staff by 13.4%, while the rest influenced by other variables outside this study. …”
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A robust and efficient approach to estimating the age of secondary mangrove forests employing time-series Landsat images and the CCDC model by Yue Zhang, Xiaoyan Li, Rong Zhang, Lina Cheng, Mingming Jia, Chuanpeng Zhao, Xianxian Guo, Haihang Zeng, Wensen Yu, Qian Shi, Zongming Wang

“…To overcome these challenges, we developed a robust and efficient approach for estimating the age of secondary mangrove forests (ASMF) by integrating Landsat time-series data and the Continuous Change Detection and Classification (CCDC) algorithm. We implemented this method in the Dongzhaigang National Nature Reserve (DNNR), which is the first mangrove nature reserve established in China, achieving a coefficient of determination (R2) of 0.723. …”
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