Peculiarities of Implementing Multifractal Analysis of the Milled Surfaces Microrelief by Nataliia Balytska, Oleksandr Prylypko, Larysa Hlembotska, Valentina Shadura, Pavel Moskvin

“…Recommendations were developed to minimize errors in calculating multifractal parameters based on milled samples’ surface area and volumes of relief-forming microforms. …”
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A Hybrid GARCH and Deep Learning Method for Volatility Prediction by Hailabe T. Araya, Jane Aduda, Tesfahun Berhane

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A T2 weighted imaging-based radiomics nomogram for the classification of hepatic blood-rich lesions: hepatocellular carcinoma and benign liver lesions by Chen Yang, Boburjon Turgunov, Fandong Zhu, Yang Xia, Jianfeng Zhou, Zhenhua Zhao

“…In the cohort with conventional imaging errors, the AUCs of the clinical model, radiomics model, and fusion model were 0.841, 0.737, and 0.905, respectively. …”
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Survival after Curative Treatment for Colon Cancer in Patients Younger than 50 Years of Age Showing a Different Outcome to the Prevailing Literature by Ibrahim H. Ozata

“…The small sample size precludes robust group matching and diminishes the statistical power, increasing the risk of Type II errors.…”
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IMPROVEMENT OF EXPERT ANALYSIS FOR ROAD TRAFFIC ACCIDENTS USING COMPUTER SIMULATION PROGRAMS by S. A. Azemsha, V. N. Galushko, S. V. Skirkovski

“…In such a case specific features of vehicle technical conditions, its loading rate and condition of roadway surface have been taken account in the paper. …”
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Properties of the SURE Estimates When Using Continuous Thresholding Functions for Wavelet Shrinkage by Alexey Kudryavtsev, Oleg Shestakov

“…The advantages of these methods lie in their computational efficiency and the ability to adapt to the local features of the estimated function. It is usually assumed that the signal function belongs to some special class. …”
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The application of blockchain with a comparative approach and its impact on risk, flexibility and internal control evaluation by mohammadsadegh aminipoor, HamidReza GholamniaRoshan, azadeh kiapour, Iman Dadashi

“…In this research, the number of questionnaires distributed among the statistical sample, which was 306 questionnaires, became the basis of the statistical work. …”
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Characteristics of the IBEX Ribbon and Their Implications for a Source Region Outside the Heliopause by Sung Jun Noh, Daniel B. Reisenfeld, Lauren J. Beesley, Yue Chen, Fan Guo, Herbert O. Funsten, Paul H. Janzen, Thomas K. Kim, Asher Merrill, Dave Osthus, Nehpreet K. Walia, Eric J. Zirnstein

“…Methodological advancements, including a refined map modeling procedure and a new ribbon separation technique with appropriate error propagation, enable a detailed investigation of the ribbon’s features. …”
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NEUROBLASTOMAS OF MAXILLOFACIAL LOCALIZATION OF A NEWBORN CHILD by P. I. Tkachenko, M. O. Cholovskyi, O. B. Dolenko, S. O. Belokon, Y. V. Popelo

“…Therefore, in our opinion, the number of diagnostic errors in children's practice is greater than in adults. …”
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Reliability and Validity of the ActivForce Digital Dynamometer in Assessing Shoulder Muscle Force across Different User Experience Levels by Christos Karagiannopoulos, Sean Griech, Brian Leggin

“…Tester experience did not affect these values. High (.89-.93) statistically significant Pearson correlations were found between HHDs for all shoulder motions…”
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Evaluating the efficacy of fuzzy Bayesian networks for financial risk assessment by Xiong Tingyan, Liu Zeping, Zhang Minghong

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Machine learning-based modelling and analysis of carbonation depth of recycled aggregate concrete by Xuyong Chen, Xuan Liu, Shukai Cheng, Xiaoya Bian, Xixuan Bai, Xin Zheng, Xiong Xu, Zhifeng Xu

“…This paper used machine learning to model the prediction of carbonation depth and the analysis of feature parameters for recycled aggregate concrete (RAC). …”
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The quality of early breast cancer diagnosis in urban women by doctors of adult polyclinics by V. A. Kozlov, B. A. Polyakov, D. L. Mushnikov, E. L. Funtikova, D. A. Nedavniy

“…It has been established that the main causes of late diagnosis of breast cancer in urban women are: untimely treatment of the patient in a medical and preventive institution, deviations from the standard of examination of women for oncopathology, errors in diagnosis, features of the course of the disease (lightning or latent form), non-compliance with continuity in the management of the patient.Conclusion. …”
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Intention to Use a Mental Health App for Menopause: Health Belief Model Approach by Nayra A Martin-Key, Erin L Funnell, Jiri Benacek, Benedetta Spadaro, Sabine Bahn

“…In terms of the intention to use a mental health app, the Satorra-Bentler–scaled fit statistics indicated a good fit for the model (χ2278=790.44, P<.001; comparative fit index=0.933, root mean square error of approximation=0.047, standardized root mean square residual=0.056), with cues to action emerging as the most significant predictor of intention (β=.48, P<.001). …”
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Computed Tomography Criteria for Differential Evaluation of True and False Lumens in Aortic Dissection by R. S. Muslimov, I. E. Popova, L. T. Khamidova, V. S. Selyaev, I. V. Vasilyeva, L. S. Kokov

“…The signs of true and false lumen presented in the work, as well as their combination, make it possible to perform a quick and error-free marking of the aortic lumen with a high degree of probability. …”
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CHARACTERISTICS OF LIPID METABOLISM IN PATIENTS WITH TYPE 1 DIABETES, DEPENDING ON THE AVAILABILITY OF DIABETIC MICROANGIOPATHY AND DIET by Yu. G. Samoilova, Ye. V. Yurchenko

“…In the first phase expected to total group performance statistics – the arithmetic mean value M and the error of the mean m, as well as visualization of the distribution of values was performed using frequency histograms. …”
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An Equilibrium Model of the Galaxy Determined by Element Abundance Gradients by Lawrence M. Widrow, David W. Hogg, Danny Horta, Haochaun Li, Adrian M. Price-Whelan

“…We also use N -body simulations to test the extent by which secular evolution in the disk introduces statistical and systematic errors into the analysis. …”
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Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting by Hui-Dong Yin, Yi-Yang Li

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DIGITALIZATION OF DIAGNOSIS AND PREVENTION OF DUST-INDUCED LUNG DISEASES IN KEMEROVO COAL MINERS: INTEGRATION OF TELEMEDICINE AND BIG DATA ANALYTICS FOR PROTECTING THE HEALTH OF CO... by Олег Иванович Бондарев, Сергей Николаевич Филимонов

“…All data were subjected to statistical processing to identify relationships between age, disease stage, and analysis results. …”
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Anticipating epidemic transitions with imperfect data. by Tobias S Brett, Eamon B O'Dea, Éric Marty, Paige B Miller, Andrew W Park, John M Drake, Pejman Rohani

“…Values of the AUC statistic are compared across a range of different reporting scenarios. …”
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