Flow Accelerated Corrosion Prediction in High Pressure Economizer of a Heat Recovery Steam Generator by Phuris Khunphakdee, Kiattikhoon Phuakpunk, Benjapon Chalermsinsuwan

“…Predicted rates and measured rates agreed, although some predicted values were overestimated. The distributions of predicted FAC rates matched the tubes thickness distributions. …”
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Acoustic signatures of bulbar ALS: Predictive modeling with sustained vowels and LightGBM by Zahra Farrokhi, Seyed Amirali Zakavi, Arian Sarafraz, Maryam Valifard, Salar Yousefzadeh, Zahra Mashhadi Tafreshi, Omid Anbiyaee, Navid Rostami, Mahsa Asadi Anar, Niloofar Deravi

“…But the multimodal nature of the predictive values indicated some flaws in generalization. …”
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The Choice of Funding Sources for Start-Ups in a Transitional Economy: The Ability to Predict in a National Context  by Olga Obraztsova, Tatiana Poliakova, Ekaterina Popovskaya

“…Hypotheses were tested on a survey sample of early entrepreneurs from seven transitional economies, including Russia. The predictive values of the final models proved to be effective in predicting start-ups’ financial strategies and in comparing the probability of early entrepreneurs borrowing capital. …”
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Suggested New Statistical Parameter for Estimating Joint Roughness Coefficient considering the Shear Direction by Zhiqiang Zhang, Jiuyang Huan, Ning Li, Mingming He

“…The deviation between the predicted value calculated by Sa and the true value was smaller than that obtained from the existing statistical parameters. …”
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Diagnostic accuracy evaluation of a point-of-care antigen test for SARS-CoV-2 and influenza in UK primary care (RAPTOR-C19). by Thomas R Fanshawe, Sharon Tonner, Philip J Turner, Margaret Głogowska, Umasha Ukwatte, Cecilia Okusi, Jade Cogdale, Maria Zambon, Brian D Nicholson, F D Richard Hobbs, Gail N Hayward, RAPTOR-C19 Study Group

“…<h4>Primary and secondary outcome measures</h4>Sensitivity, specificity and predictive values, compared to a laboratory reference standard of real-time reverse transcription PCR, using samples collected using a combined nasal and oropharyngeal swab.…”
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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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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 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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Novel fusion of color balancing and superpixel based approach for detection of tomato plant diseases in natural complex environment by Saiqa Khan, Meera Narvekar

“…The novelty of the proposed system lies in the fact that the proposed segmentation is effective for all the varied datasets and it is evaluated by True Positive Rate (TPR), False Positive Rate (FPR), False Negative Rate (FNR), Positive Prediction Value (PPV), False Discovery Rate (FDR), Accuracy and F1 score.…”
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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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