LoD2 Building Reconstruction from Stereo Satellite Imagery using Deep Learning and Model-Driven Approach by Rojgar Qarani Ismael, Haval Sadeq

“…This indicates that the predicted values are close to real values. Furthermore, most of the building’s roofs were correctly classified in both open and occluded areas. …”
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Experimental and Analytical Study on the Influence of Saturation Pressure and Surface Roughness on Pool Boiling CHF of HFE-7100 by Xiaoguang Fan, Shiya Gu, Jingsheng Lei, Guihang Luo, Fanbin Meng, Liyan Wu, Shiyan Gu

“…To further improve the prediction accuracy, a new empirical correlation for CHF dimensionless K considering the effects of saturation pressure and surface roughness was developed, and the predicted values were in better agreement with the experimental data.…”
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Relation of Changes in PEF and FEV1 During Salbutamol-Induced Bronchodilation After Methacholine Challenge Test by Leon L. Csonka, Antti Tikkakoski, Liisa Vuotari, Jussi Karjalainen, Lauri Lehtimäki

“…ROC analysis, sensitivity, specificity, positive and negative predictive values, and kappa coefficient assessed how precisely increases in PEF detected a 12% and 0.2-L improvement in FEV1. …”
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Assessing Bioconcentration and Biotransformation of BDE-47 In Vitro: The Relevance of Bioavailable and Intracellular Concentrations by Paloma De Oro-Carretero, Jon Sanz-Landaluze

“…Moreover, the study highlighted the importance of experimentally determining C_free and C_cell, as the predicted values can vary depending on the chemical, thereby influencing the BCF outcome. …”
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Genotypes Diversity and Virulence Factor screening of Trichomonas vaginalis Isolated from Pregnant Women in Mosul (North of Iraq) by Fouad S. I. Al-Rubaye, Firas M. B. Alkhashab

“…Samples underwent microscopic examination and nucleic acid detection of AP65-1 gene, the wet smear test showed that 16.18%  of the collected specimen were positive while the parasite appeared only in 8.9% of the samples stained with Giemsa dye, the molecular screening for AP65-1gene that encodes for the surface attachment protein showed high sensitivity level of 100 at 50 specificity level in compare with other routine methods, the algorithm was evaluated according to specificity, sensitivity, and predictive values. Random Amplification Polymorphic DNA (RAPD) was achieved to estimate genetic indices among isolated strains. …”
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Analysis of Energy Projects Financial Efficiency and Renewable Energy Generation in Russia by J. An, A. Yu. Mikhaylov

“…The result of the study shows an improvement in the accuracy of the predicted values, while previous models had higher standard error estimates. …”
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A Follow-Up Study for Pulmonary Function Evaluation in Children with Complicated Parapneumonic Pleural Effusion by Yu-Jen Wei, Ying-Tzu Ju, Ming-Lin Hsieh, Ming-Ho Wu, Jing-Ming Wu, Jieh-Neng Wang

“…The forced volume vital capacity (FVC) and forced expiratory volume in 1 s (FEV1) were significantly higher in Group 2 patients (percentage of the predicted value in FVC: 87.6% ± 8.5% versus 79.2% ± 13.4% (Group 1) vs. 77.6% ± 9.0% (Group 3)). …”
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Evaluating the Tree Drawing Test Depression Assessment Scale for adolescent depression screening by Guorui Liu, Wei Liu, Jing Wen, Yige Liu, Hui Jin, Ziyang Li, Yanfei Zhang

“…With a cutoff score of 13, the Youden Index was 0.761, sensitivity was 0.780, specificity was 0.981, and the positive and negative predictive values were 0.952 and 0.839, respectively. The Cohen’s Kappa coefficient between the two raters ranged from 0.753 to 0.977. …”
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Influence of inspiratory muscle strength on 6-minute walk distance in patients with acute heart failure. by Ren Takahashi, Junichi Yokota, Yuko Matsukawa, Keisuke Matsushima, Takeru Suzuki, Eiki Tsushima

“…The measured PI-max was divided by the predicted value and used for analysis (%PI-max). The primary outcome was 6MWD, an indicator of exercise tolerance, and was measured at discharge. …”
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WEATHER RISKS AS DRIVERS OF STRUCTURAL SHIFTS IN AGRICULTURE IN THE RUSSIAN FEDERATION by Marina Yevgenievna KADOMTSEVA, Andrej Vladimirovich BOGDANOV

“…Most often, the climate trend is presented in the form of predicted values of temperature increase on the Earth's surface by 1.5-2.0 degrees and the facts of the occurrence of the most probable weather risks. …”
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Evaluation of the Performance of Health Extension Workers in HIV-1/2 Screening Tests: A Comparative Cross-Sectional Study, Addis Ababa, Ethiopia by Mulatu Gashaw, Samuel Kindie, Minale Fekadie, Kassu Desta, Dawit Wolday

“…Finally, the percentage of accuracy, error rate, sensitivity, specificity, predictive values, and measure of agreement (kappa) were calculated using SPSS version 26. …”
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Role and application of diffusion-weighted imaging in evaluation of prostate cancer by Amol Madanlal Lahoti, Ankita Ramprasad Lakhotiya, Sarang Manohar Ingole, Avinash Parshuram Dhok, Prashant N Mudaliar

“…., 95.12%, which is the positive predicted value. The mean ADC for benign category was 1.14 with standard deviation (SD) of 0.14 while mean for prostatitis was 0.91 with SD of 0.26 and for carcinoma was 0.75 with SD of 0.19. …”
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Physical education and sport activity assessment tool-based machine learning predictive analysis for planification of training sessions by Mohamed Rebbouj, Said Lotfi

“…Results Even if we focus on one metric test (as a target) with numeric values in this article, the results were promising compared to the predicted values of both physical tests and athletic performances, where we noticed some students have exceeded the expected values to reach. …”
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Evolution of CHA₂DS₂-VASc Score for Predicting Risk of Stroke Development in Patients with Atrial Fibrillation by A. O. Rubanenko

“…At the same time, developing of the new score systems, that will have better predictive values in stroke prognosis than CHA2DS2-VASc score, is still an actual problem in modern cardiology.…”
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Gesundheit und Bewegung by Löllgen H, Börjesson M, Cummiskey J, Bachl N, Debruyne A

“…Main arguments against are the lack of large prospective studies demonstrating reduced mortality by ECG, and the low sensitivity, specificity and predictive values of the ECG. However, current studies,new stringent and reliable criteria for ECG interpretation (e.g. …”
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Prediction of electricity production by small wind power using artificial neural networks by Justyna Zalewska-Lesiak, Mateusz Oszczypała, Jerzy Małachowski

“…The Pearson correlation coefficient was used to assess the correspondence between the predicted values and the actual ones. The modeling was carried out in MATLAB, and coefficients such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE) were used to evaluate the prediction error.Results and DiscussionThe learning and testing performance of the neural network model using back propagation with feedback was 96.3% and 97.0%, respectively. …”
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Using near-infrared spectroscopy to estimate soil water retention curves with the van Genuchten model by Youssef Fouad, Inès Soltani, Christophe Cudennec, Didier Michot

“…The results showed that i) the NIR-spectroscopy approach was relevant for estimating hydraulic parameters θs, α and n of the VG model and ii) the parameters obtained from a VG-like equation based on the relation between h and SWSI predicted values of θ of the soil–water retention curve that were similar to observed values, with a root-mean-square error of 0.031 and 0.045 cm3cm−3 for topsoil and subsoil horizons, respectively. …”
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Cancer/testis antigens FBXO39 and CEP55 expression correlates with survival in GBM patients. by Parisa Azimi, Maryam Bazrgar, Taravat Yazdanian, Mehdi Totonchi, Abolhassan Ahmadiani

“…Overall survival (OS) of GBM patients in the TCGA and CGGA databases as a function of the expression of key CTA genes was considered to identify those whose expression significantly predicts patient survival. The predictive values of our candidate genes were then tested using our independent cohort (n = 29) using an RT-qPCR approach.…”
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Can Resistin be a New Indicator of Neonatal Sepsis? by Didem Aliefendioglu, Tuğba Gürsoy, Osman Çağlayan, Alev Aktaş, Fahri Ovalı

“…The sensitivity, specificity, positive, and negative predictive values for resistin were 73.7%, 45.8%, 68.3%, and 52.4%, respectively. …”
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Epidemiological Manifestations and Risk Assessment of Melanoma and other Skin Cancers in Altaiskiy Krai by A. I. Blokh, V. L. Stasenko

“…The nonlinear extrapolation method was used to calculate the predicted values for the next ten years. Results. The melanoma and other skin cancers incidence rates in the population of Altaiskiy krai in the study period were 5.7 (95% CI 5.4 – 6.0) and 63.4 (95% CI 62.4 – 64.4) per 100 th population and tended to increase (5.2 and 3.1% per year, respectively), which was due to both demographic processes (42.1 and 68.6% respectively), and activation of risk factors (80.6 and 66.7%, respectively). …”
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