Prediction Model of Powdery Mildew Disease Index in Rubber Trees Based on Machine Learning by Jiazheng Zhu, Xize Huang, Xiaoyu Liang, Meng Wang, Yu Zhang

“…Each model effectively simulates the progression of powdery mildew in rubber trees, with predicted values closely aligning with observed data. Among the models, the Kernel Ridge Regression (KRR) model demonstrates the highest accuracy, the R² values for the training set and test set were 0.978 and 0.964, respectively, while the RMSE values were 4.037 and 4.926, respectively. …”
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Аdaptive combined image coding with prediction of arithmetic code volume by B J.S Sadiq, V. Yu. Tsviatkou, М. N. Bobov

“…To adapt the structure of the combined encoder to the distribution of bits in the bit planes of DPCM pixel values, the article proposes to use prediction of the volume of arithmetic code based on entropy and comparison of the obtained predicted value with the volume of run length code. The entropy is calculated based on the values of the number of repetitions of ones and zero symbols, which are obtained as intermediate results of the run length encoding. …”
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Tumor-associated tissue eosinophilia in preinvasive and invasive squamous cell carcinoma of cervix by Radhika C Sasturkar, Ramesh BH, Sunita Nyamagoudar, Sateesh S Jigjini

“…Greater than 5 eosinophils/HPF and >10 eosinophils/10 HPF had sensitivity, specificity, and positive predictive values of 55%, 100%, 100%, and 75%, 100%and 100%, respectively. …”
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Should renal resistive index be considered as a routine predictor in newly diagnosed acute hydronephrosis in patients with unilateral renal colic? by Hamid Dahmarde, Faramarz Fazeli

“…This cut-off value also provided the highest positive (94%) and negative (76%) predictive values. CDUS with RI measurement is an easy and non-invasive method that provides useful information about urinary tract obstruction stones in patients with unilateral RC. …”
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Comparison of Transient Elastography and Liver Biopsy in Assessing Fibrosis in Patients with Nonalcoholic Fatty Liver Disease by Gaurav Bachhav, Lokesh Locheruvapalli Venkateshappa, Balekuduru Avinash, Manjunath Patil, Satyaprakash Bonthala Subbara, Sindhuvalada Karnam Ravikiran

“…Diagnostic accuracy (sensitivity, specificity, positive and negative predictive values) of TE was evaluated. Data were analyzed using software R v3.6.3. …”
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Assessing the Performance of CareStart™ Malaria Rapid Diagnostic Tests in Northwest Ethiopia: A Cross-Sectional Study by Zelalem Dejazmach, Getaneh Alemu, Mulat Yimer, Banchamlak Tegegne, Abel Getaneh

“…Sensitivity, specificity, positive and negative predictive values, and kappa value were calculated to evaluate the performance of rapid diagnostic tests against microscopy. …”
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Assessment of Pulmonary Function After Treatment of Scoliosis: Meta-Analysis and Review Article by Majdi Hashem

“…Individual studies showed variability: some reported increases in FVC and FEV1 by over 1.5 L, while others observed decreases in percent predicted values and absolute volumes. PEF generally improved, with some interventions showing statistically significant gains (<i>p</i> < 0.001). …”
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Green and sustainable synthesis of MWCNT@g-C₃N₄@Ag photocatalyst from PET for efficient wastewater treatment by Peymaneh Dehghan, Mohsen Abbasi, Ahmad Azari, Masoud Mofarahi, Mohsen Nowrouzi, Mahdieh Dibaj, Mohammad Akrami

“…Furthermore, the predicted values showed strong agreement with the experimental results, with R2 = 0.95, Adj-R2 = 0.93, and a p-value of less than 0.0001. …”
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Deep Learning- and Multi-Point Analysis-Based Systematic Deformation Warning for Arch Dams by Tao Zhou, Xiubo Niu, Ning Ma, Futing Sun, Shilin Gong

“…Finally, the Re-CNN strategy is used to train the mapping relationship between the multi-objective residuals and the system indicators, and the mapping relationship outlined above is then used to obtain the system indicators corresponding to real-time prediction values, which in turn determine the overall deformation state of arch dams. …”
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Concurrent and predictive validity of nutritional screening tools in hospitalized pediatric patients: Protocol for a single-center, prospective, observational study by Maria Camila Arbeláez Grajales, Dianna Ramírez-Prada, Frank Carrera-Gil

“…The primary outcome is the concurrent validity of each screening tool to detect disease-related malnutrition, assessed via sensitivity, specificity, predictive values, likelihood ratios, and Kappa coefficient. …”
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Optimization of the Morphological Parameters of a Metal Foam for the Highest Sound Absorption Coefficient Using Local Search Algorithm by Mohammad Javad JAFARI, Ali KHAVANIN, Touraj EBADZADEH, Mahmood FAZLALI, Mohsen Niknam SHARAK, Rohollah Fallah MADVARI

“…The optimization was applied to a broad band of frequency ranging from 500 to 8000 Hz. The predicted values were in accordance with benchmark data resulted from Lu model. …”
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Optimization of extrusion parameters for low-cost alumina–kaolin ceramic membranes via CCD by Mahmoud Moharrami, Mohammadreza Omidkhah, Mohammad Salehi Maleh

“…The optimal precursor composition resulted in a membrane porosity of 54.73 %, an average pore size of 1.935 μm, and a flexural strength of 3.15 MPa, with deviations of 2.26 %, 3.25 %, and 5 %, respectively, from the predicted values. These findings confirm that the RSM-based design model, incorporating porosity, average pore size, and flexural strength as response variables, is a robust tool for optimizing the fabrication of alumina-kaolin ceramic membranes. …”
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Socio-demographic characteristics associated with SF-6D v2 utility scores in patients undergoing dialysis in China: contributions of the quantile regression by Ye Zhang, Li Yang, Zeyuan Chen

“…Quantile regression yielded more accurate fitted and predicted values compared to OLS regression. Conclusion Quantile regression offers a valuable complement in analyzing factors associated with utility scores among Chinese dialysis patients. …”
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Accuracy evaluation of API P-Y model for Offshore Piles in Clays by Peiyuan Lin, Xun Yuan, Tong Liu, Haoyi Li, Xiangwei Yu

“…The model accuracy is represented by a model factor defined as the ratio of measured to predicted values of soil resistance around the pile. Results showed that the API p-y model underestimates the true soil resistance by about 50 % on average. …”
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Superiority of pan-immune inflammation value, systemic inflammation index, and CALLY scores prognostic value for mortality of ischemic stroke patients followed in intensive care un... by Gülsüm Altuntaş, Rahmet Yıldırım, İsmail Demirel

“…ROC curves showed that PIV, SII, and CALLY exhibited good predictive values, with AUCs of 0.921, 0.887, and 0.930 (95% CI: 0.903–0.936, 0.855–0.896, 0.913–0.945; p < 0.001). …”
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Artificial intelligence and molecular dynamics assisted analysis of wear behavior of high entropy alloys by Ling Qiao, Junya Inoue, Jingchuan Zhu

“…The good agreement between the predicted values and the measured values demonstrated that the model exhibited superior prediction accuracy. …”
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Estimates of recent changes in snow storage in the river Northern Dvina basin from observations and modeling by V. V. Popova, D. V. Turkov, O. N. Nasonova

“…The results of regression estimates and calculations of predictive values point to the advantage of the model SWE data for describing anomalies of spring river discharge compared to observations, which is primarily due to the high resolution of the model data. …”
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Optimization of Anthocyanin Extraction from Purple Sweet Potato Peel (<i>Ipomea batata</i>) Using Sonotrode Ultrasound-Assisted Extraction by Raquel Lucas-González, Mirian Pateiro, Rubén Domínguez-Valencia, Celia Carrillo, José M. Lorenzo

“…Optimal extraction conditions were 6 min with 60% ethanol at a 30 mL/g ratio. Predicted values were validated experimentally (coefficient of variation <10%). …”
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Design and Parameter Optimization of Drum Pick-Up Machine Based on Archimedean Curve by Caichao Liu, Feng Wu, Fengwei Gu, Man Gu, Jingzhan Ni, Weiweng Luo, Jiayong Pei, Mingzhu Cao, Bing Wang

“…Field tests were carried out with the same parameters, and the picking rate was 91.42% and the soil content was 3.567%, with errors of 0.038% and 0.054% compared with the predicted values, indicating that the stone picker meets the field operation requirements. …”
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Analysis of Vulnerability of the Population of the Sary-Dzhas Natural Plague Focus in Kyrgyzstan by G. E. Sarieva, R. Kh. Yusupov, G. Dzh. Bazarkanova, R. K. Maimulov, N. K. Moldakunova, N. N. Bekbolotova

“…The index of epidemiological risk in the territory of the Sary-Dzhas focus in 2024 significantly exceeds the predicted values in 14 out of 40 sectors due to the intensive development of tourism. …”
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