SCIENTIFIC APPROACH TO A COMPLEX ASSESSMENT OF DETERMINANTS OF THE INSURANCE MARKET DEVELOPMENT OF UKRAINE by L. V. Popova, N. O. Kovalchuk, D. D. Polagnyn

“…Building an adequate model for assessing the insurance market and its practical use may affect the timely adoption of managerial decisions and the development of measures to improve the insurance market functioning. This is confirmed by a large number of scientific studies in the economic literature on the analytical component of the insurance market management, as well as the fact that a timely and objective comprehensive analysis is an integral part of the adoption of effective managerial decisions. …”
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Researching the Blocking of Current Protection of Electrical Power Units with Transformers by F. A. Romaniuk, V. Yu. Rumiantsev, Yu. V. Rumiantsev, A. A. Dziaruhina, P. I. Klimkovich

“…The study of the current protection blocking functioning was performed using computational experiment by analyzing the calculated changes of blocking parameter compared with the threshold setpoint. …”
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A model for calculating beta exposure doses to tracheobronchial cells during movement of a point source by V. S. Repin

“…The dose calculation is based on  the dose rate attenuation functions published by W. G. Cross et al.  (DOI: 10.1097/00004032-199208000-00002). …”
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Does access to clinical study reports from the European Medicines Agency reduce reporting biases? A systematic review and meta-analysis of randomized controlled trials on the effec... by Eliane Rohner, Michael Grabik, Thomy Tonia, Peter Jüni, Frank Pétavy, Francesco Pignatti, Julia Bohlius

“…We used random-effects meta-analyses to evaluate the effect of ESAs on QoL measured with Functional Assessment of Cancer Therapy-Anemia (FACT-An), FACT-Fatigue (FACT-F) and FACT-Anemia Total (FACT-An Total) stratified by data source and the impact of discrepancies on QoL, mortality, adverse events, and clinical effectiveness outcomes. …”
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National or Global Uncertainty: Which Has a Greater Impact on Investment Demand? by Haifei Wang, Ekaterina Isupova

“…Considering this research gap, our study used GMM estimator to analyze data for 161 countries from 2002 to 2022 to confirm that the interest elasticity of investment tends to be a function of the national level of uncertainty. …”
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Prediction of Soil Carbon Sequestration in Rangelands Regarding the Depth and Elevation of Sample Locations using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case Study: Lar Wat... by zeinab jafarian, zhila ghorbani

“…The better performance of the ANFIS model than statistical regression methods can be found in its estimation and prediction capability for the nonlinear estimation with a small amount of data. …”
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Sex assessment from the proximal femur in a Spanish population based on three-dimensional computed tomography metric analysis by Đorojević Mirjana, Roldán Concepción, Botella Miguel, Alemán Inmaculada

“…The studies published in recent years have shown that the linear measurements on the three-dimensional computed tomography (3D-CT) clinical images of the hip bone, skull or breastbone can serve as a reliable alternative method for sex estimation. In spite of the fact that the proximal femur exhibited high dimorphism when examining the skeletal material, there is still a lack of morphometric studies dealing with the CT imaging of this anatomical region that would confirm the relevance of the previously obtained results. …”
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Establishing model uncertainty of SLS reinforced concrete crack models applied to load-induced cracking by Christina Helen McLeod

“…In probabilistic crack models, the reliability of the crack model is determined by the performance function whereby the design limiting crack width is greater than the estimated crack width calculated using the appropriate design crack model. …”
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Modeling the Steady-State Effects of Mean Arterial Pressure on the Kidneys by Benjamin J. Czerwin, Sandip Patel, Caitlyn M. Chiofolo, Jiayao Yuan, Nicolas W. Chbat

“…<italic>Goal:</italic> We describe the relationship between mean arterial pressure (MAP) and glomerular filtration rate (GFR) since therapies affecting MAP can have large effects on kidney function. <italic>Methods:</italic> We developed a closed-loop, steady-state mechanistic model of the human kidney with a reduced parameter set estimated from measurements. …”
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Highway Traffic Flow Prediction Algorithm Based on Multiscale Transformation and Convolutional Networks by Yuzhu Luo, Jiarong Wang, Ming Wei

“…In order to solve the problem that the traditional long-term high-speed traffic forecasting algorithm is affected by the approximation ability of the function and easy to fall into the local mass value, we wrote a multivariate-based highway traffic forecasting algorithm scaling and convolutional networks. …”
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Urinary Tract Infections in Kidney Transplant Patients: An Open Challenge—Update on Epidemiology, Risk Factors and Management by Biagio Pinchera, Emilia Trucillo, Alessia D’Agostino, Ivan Gentile

“…Urinary tract infections are one of the main complications in kidney transplant patients, with a significant impact on graft function and survival. In fact, it is estimated that up to 74% of kidney transplant patients experience at least one episode of UTIs in the first year after transplantation, with an increased risk of graft loss and an increased risk of mortality. …”
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Neural radiance fields assisted by image features for UAV scene reconstruction by Zhihong Chen, Xueyun Chen, Chenghong Ye, Shaojie Wu, Xiang Wu

“…This is primarily due to the lack of edge information and the fact that certain objects appear in only a few images, leading to incomplete reconstructions. …”
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Probing optically driven K3C60 thin films with an ultrafast voltmeter by J. D. Adelinia, E. Wang, M. Chavez-Cervantes, T. Matsuyama, M. Fechner, M. Buzzi, G. Meier, A. Cavalleri

“…However, the underlying physics and in fact the similarity or dissimilarity to most properties of equilibrium superconductivity are not clear. …”
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Intelligent System of Relay Protection of Electrical Network 6-10 kV with the Implementation of Automatic Correction of the Operation Set Point by Shilin A.A., Dement’ev S.S., Dikarev P.V.

“…The application of a neural network for approximating the current function of a two-phase short circuit is demonstrated. …”
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Theoretical Foundations of Digital Content Integrity Expertise by Bobok I.I., Kobozieva A.A.

“…The most important results of the work are: substantiation for non-original content of the destruction of the monotony of the trend of the function of depend-ence of the disturbance of the singular number on its number, which takes place for original content; substantiation of the fundamental possibility of estimating the magnitude of the perturb-ing effect. …”
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Age effects on muscle-related gene expression and glycogen levels in broiler chickens (Gallus gallus domesticus) by Haneen A. Abbas, Nabeel A. Almamoori

“…In conclusion, this study demonstrates the essential function of muscle regulatory factors in the growth and development of the pectoralis major muscle in broiler chickens. …”
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Issue characterization of electoral change (and how recent elections in Western Europe were won on economic issues) by Davide Angelucci, Lorenzo De Sio

“…To do so we leverage an issue-rich public opinion dataset to estimate individual-level vote change towards each party as a function of issue-based party-voter affinity measures in 6 European countries. …”
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ANALYSIS OF APPLICABILITY OF EXTERNAL NETWORK SIMPLIFIED MODELS FOR DEFINITION OF SHORT CIRCUIT CURRENTS IN SYSTEMS OF RAILROAD TRACTION POWER SUPPLY by V. P. Zakaryukin, A. V. Kryukov, E. A. Alekseenko

“…The origin of errors consists of the fact that the offered estimated formulas are based on method of symmetric components with one asymmetry in three-phase circuit. …”
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Machine learning-based prediction of CO2 solubility in methyldiethanolamine solutions: A comparative study by Sajjad Fazeli, Mohammad Amin Moradkhani, Behrouz Bayati

“…A statistical investigation through the William’s plot implied the fact that both the collected databank and the suggested predictive tools benefit from high credibility. …”
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Image-based soft drink type classification and dietary assessment system using deep convolutional neural network with transfer learning by Rubaiya Hafiz, Mohammad Reduanul Haque, Aniruddha Rakshit, Mohammad Shorif Uddin

“…Finally, the size of each drink bottle is estimated using the bag-of-feature (BoF) and distance ratio calculation to find the nutrition value from the nutrition fact table. …”
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