The Least Limiting Water Range to Estimate Soil Water Content Using Random Forest Integrated with GIS and Geostatistical Approaches by Orhan Dengiz, Pelin Alaboz

“…The distribution of obtained and predicted values in surface soils was similar. However, variations were found in the distribution of areas with low LLWR below the surface. …”
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Diagnostic accuracy of intraoral mobile photography for oral health screening in children: a pilot study by Lia Mania, Ketevan Nanobashvili, Tinatin Manjavidze, Mamuka Benashvili, Ia Astamadze

“…Sensitivity, specificity, and positive and negative predictive values of dental photography were evaluated, and Cohen’s kappa was calculated. …”
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Forecasting Crude Oil Price and Stock Price by Jump Stochastic Time Effective Neural Network Model by Jun Wang, Huopo Pan, Fajiang Liu

“…The experiment analysis shows that when the price fluctuation is small, the predictive values are close to the actual values, and when the price fluctuation is large, the predictive values deviate from the actual values to some degree. …”
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Endometrial Volume Measured by VOCAL Compared to Office Hysteroscopy for Diagnosis of Endometrial Polyps in Premenopausal Women with Abnormal Uterine Bleeding by Mohamed Laban, Sherif H. Hussain, Alaa S. Hassanin, Waleed M. Khalaf, Mohamed K. Etman, Mohammed S. E. Elsafty, Ahmed M. Bahaa Eldin, Ahmad S. Hasanien, Noha A. Sakna, Mohammed Taema, Mohammed H. Mostafa, Marwa M. Eisa

“…Endometrial thickness of >7.5 mm has sensitivity, specificity, positive and negative predictive values, and overall accuracy of 82%, 37.3%, 52.6%, 71%, and 57.8%, respectively. …”
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Ratios of neutrophil,lymphocyte and monocyte to high-density lipoprotein cholesterol in acute pancreatitis complicated with acute kidney injury by Wei Mao-bi, Zhang Zhi-qin, Ma Zhou, Wu Xiao-yan

“…Objective To explore the clinical predictive values of admission neutrophil,lymphocyte and monocyte to high-density lipoprotein cholesterol ratio（NHR/LHR/MHR）in acute pancreatitis（AP）related with acute kidney injury（AKI）.Methods For this retrospective cohort study,a total of 302 AP patients were divided into AKI and non-AKI groups according to the KDIGO-AKI criteria.The inter-group differences of clinical profiles were compared for NHR,LHR and MHR.Results The incidence of AKI was 21.5%（65/302）.And the clinical stage was 1（n=32,10.6%）,2（n=16,5.3%）and 3（n=17,5.6%）.NHR,LHR and MHR were markedly higher in AKI group than those in NAKI group and the difference were statistically significant（Z=7.356,5.062 & 6.446,P<0.01）.After adjusting basic renal function,gender,concomitant chronic diseases,etiology of AP,basic vital signs and blood biochemical parameters on admission,multivariate logistic forward stepwise regression analysis revealed that admission NHR（OR=1.081,95%CI 1.043～1.121,P<0.01）,MHR（OR=2.445,95%CI 1.514～3.947,P<0.01）and LHR（OR=1.713,95%CI 1.306～2.246,P<0.01）were the independent risks factors for AP-AKI.ROC curve indicated that the above parameters had excellent predictive values for AP-AKI and AUC were 0.798,0.761 and 0.705 respectively（all P<0.01）.For understanding the impact of blood lipid levels on the predictive values of NHR,MHR,and LHR for AP-AKI,subgroup analysis showed that AUC of the above parameters were 0.709,0.667 and 0.615 in hyperlipidemic group and 0.830,0.790 and 0.707 in non-hyperlipidemic group respectively.No statistically significant inter-group differences existed in NHR,MHR or LHR（all P>0.05）.Furthermore,vasopressors,mechanical ventilation and renal replacement therapy during hospitalization were defined as special hospital interventions.Fulfilling one of the above required special treatments.And the values of AUC were 0.782,0.702 and 0.679 respectively（all P<0.05）.At the same time,it had an excellent correlation with APACHE II and SIRS scores for assessing the severity of AP.Conclusions Admission NHR,MHR,LHR as the comprehensive inflammatory parameters along with complete blood count and HDL-C are positively correlated with the severity of AP and serve as independent risk factors for AP-AKI.…”
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Prediction of activity of low-molecular inhibitors of the classic complement pathway using computational screening approach by D. M. Karlinsky, A. P. Kaplun, M. E. Popov

“…The theoretically predicted values of IC50 allow selecting ligands with the highest inhibitory potential for further in vitro experiments…”
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Research on Accelerated Degradation Test Design and Life Prediction for Aluminum Electrolytic Capacitor by YANG Tao, WANG Xu, XIAO Jianglin

“…By comparing the degradated capacitance predicted by BP neural network with the measured data of the degradation test and the predicted value of the least squares linear fitting of the experimental data, the results show that the prediction error of capacitance based on the BP neural network is within 3%, while the predicted value of the least squares linear fitting is around 6%, which verifies the superiority of the BP neural network life prediction algorithm, and provides strong support for development and application of the subsequent on-line monitoring technology of board level capacitors.…”
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Evaluation of energy and protein intake and prediction of growth performance of growing-finishing pigs based on meta-analysis by DI Hanqiu, WANG Shanshan, ZHONG Yifan, CHEN Bin, WANG Haifeng

“…The results showed that all the three functional models provided a reasonable fit for the DEI and CPI, and the polynomial function had a greater goodness of fit than did the power function and Bridges function. The predicted values of the DEI of the polynomial function and Bridges function were slightly higher than those of the Nutrient Requirements of Swine published by the National Research Council (NRC) in 2012 [referred to as NRC (2012)], while the predicted values of the CPI of the three functions were slightly lower than or close to those of NRC (2012). …”
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Compositions Optimization of Antang Corundum for Developing Advanced Ceramic by Olawale Monsur Sanusi, M Dauda, Malachy Sumaila, Abdulkarim S Ahmed, M T Isa, O A Oyelaran, O O Martins

“…The optimized density, compressive strength and flexural strength of the sintered Antang corundum are 3.45 g/cm3 g, 1982 MPa and 295 MPa respectively; while the respective RSM prediction values are 3.45 g/cm3 g, 1982 MPa and 295 MPa. …”
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The association between muscle strength and z scores of pulmonary function by Laura Petraglia, Klara Komici, Leonardo Bencivenga, Giuseppe Rengo, Raffaella Pagliaro, Angela Sciattarella, Nicola Ferrara, Andrea Bianco, Germano Guerra

“…Abstract Z scores and percent predicted values of spirometry parameters are widely used for the evaluation of pulmonary function and detection of respiratory diseases. …”
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Prediction Algorithm of Parameters of Toe Clearance in the Swing Phase by Tamon Miyake, Masakatsu G. Fujie, Shigeki Sugano

“…The root mean square error between the true and predicted values was 3.28 mm for the maximum toe clearance in the earlier swing phase and 2.30 mm for the minimum toe clearance in the later swing phase. …”
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ECONOMIC AND MATHEMATICAL MODEL OF PREDICTION OF DEVIATION IN MOSCOW SUBURBAN RAILWAY COMPLEX by Dmitry I. Valdman

“…Additionally, it describes a mathematical model for forecasting the number of incidents, depending on the number of different types of planned works with one and the same subject in service facilities, validation of the model via substituting of the data and comparing the predicted values calculated by the model and the actual values for the same periods.…”
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Diagnostic Value of the Maximal Expiratory Flow&amp;ndash;Volume Curve for Central Airway Obstruction by Feng Y, Lian X, Wang H, Chen J, Xu J

“…The ROC curves suggested that PEF, FEF25, and their actual/predicted values had a high diagnostic value for CAO.Conclusion: This study showed that MEFV curves with expiratory phase plateau-like changes were not specific to patients with CAO; they could also be seen in patients without CAO, and they were highly indicative of CAO when combined with a significant decrease in PEF, FEF25, and their actual/predicted values. …”
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Comparison of fine-needle aspiration cytology and ultrasound mammography in diagnosis of clinically palpable breast lump: A retrospective study by Himabindu Narayanapuram, Ramamohanrao Vaitla, Madhurika Karnati

“…The sensitivity, specificity, predictive values, and diagnostic accuracy of ultrasound mammography and FNAC in diagnosing breast lumps were calculated using the histopathological report as the reference standard test. …”
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Role of ventilator and ultrasound parameters in predicting extubation success by R. Muralidharan, Amarja Ashok Havaldar

“…Primary outcome was to determine the predictive values of P 0.1, PIMTF & DTF for successful extubation. …”
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MRI OPPORTUNITIES IN CERVICAL CANCER LOCAL STAGING PREOPERATIVE EVALUATION by N. A. Rubtsova, E. G. Novikova, V. E. Sinitsyn

“…Results: The accuracy, sensitivity and specificity of MRI for perioperative evaluationof cervical cancer local staging in I group were 87%, 67%, 81%, positive predictive values (PPVs) and negative predictive values (NPVs) were 94% and 56%, respectively. …”
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Current scenario of machine learning applications to hydrothermal liquefaction via bibliometric analysis [version 3; peer review: 1 approved, 2 approved with reservations, 1 not ap... by Nakorn Tippayawong, Sakprayut Sinthupinyo, Somboon Sukpancharoen, Tossapon Katongtung

“…These models aim to predict values and investigate the impact of variables on the hydrothermal liquefaction process. …”
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Six-Minute Walk Test among obese and nonobese subjects: A comparative analysis among apparently healthy volunteers by Tandra Ghosh, Manjusha Ashlesh Shinde, Suchita Narayan Kawale, Shiv Kumar, Aparajita Sophia D’Souza

“…Results: The results revealed that a comparison was done between actual values and predicted values of 6MWD. Among obese groups, the actual 6MWD covered was significantly lesser than the predicted values. …”
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Calculation analysis and design on flexural capacity of partially encased steel–concrete composite beam with web opening by Jun Wan, Caisen Wang, Jiongfeng Liang, Hongzhi Su

“…By comparing the predicted values with the tested values, it was found that the prediction error of the model was within 10%. …”
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A spatial clustering-based approach to design monitoring networks of infectious diseases: a case study of hand, foot, and mouth disease by Shuting Li, Yuanhua Liu, Ke Li, Zengliang Wang, Michael P. Ward, Wei Tu, Jiayao Xu, Rui Yuan, Lele Zhang, Na Wang, Jidan Zhang, Yu Zhao, Henry S. Lynn, Zhaorui Chang, Zhijie Zhang

“…Results The optimal sample size was determined to be 103. Overall, the predicted values for each city significantly correlated with the true values (r = 0.81, P < 0.001). …”
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