Pulmonary hypertension: current issues of diagnosis and treatment by T. V. Martyniuk, I. E. Chazova, S. N. Nakonechnikov

“…This review represents the modern clinical and functional classifications, diagnostic algorithm with four main steps. The 1st step -PH suspicion- includes the analysis of clinical symptoms, physical examination, screening and occasional findings. …”
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Software defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machine by Nana Zhang, Shi Ying, Kun Zhu, Dandan Zhu

“…To address these two issues, a novel defect prediction model called SSEPG based on Stacked Sparse Denoising AutoEncoders (SSDAE) and Extreme Learning Maching (ELM) optimised by Particle Swarm Optimisation (PSO) and another complementary Gravitational Search Algorithm (GSA) are proposed in this paper, which has two main merits: (1) employ a novel deep neural network – SSDAE to extract new combined features, which can effectively learn the robust deep semantic feature representation. (2) integrate strong exploitation capacity of PSO with strong exploration capability of GSA to optimise the input weights and hidden layer biases of ELM, and utilise the superior discriminability of the enhanced ELM to predict the defective modules. …”
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Substation Abnormal Scene Recognition Based on Two-Stage Contrastive Learning by Shanfeng Liu, Haitao Su, Wandeng Mao, Miaomiao Li, Jun Zhang, Hua Bao

“…The abnormal scenes include multiple workpieces such as the main transformer body, insulators, dials, box doors, etc. …”
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Conceptual Service Level Agreement Mechanism to Minimize the SLA Violation with SLA Negotiation Process in Cloud Computing Environment by Narander Kumar, Surendra Kumar

“…If service provider fails to maintain the required service SLA is considered to be SLA violated. The main aim is to minimize the SLA violations for maintain the QoS of their cloud users. …”
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STRATEGIC FRAMEWORK OF SYSTEMIC INTERDEPENDENCE DEVELOPMENT IN HIGH-TECH SECTORS: CLUSTER-NETWORK APPROACH by O.Yu. Kudrina, V.A. Omelyanenko

“…The conceptual bases of creating clusters in high-tech sectors based on the system integration approach are proposed and the main advantages of this approach are determined. …”
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Experimental Investigation and Optimization of Tool Life in High-Pressure Jet-Assisted Turning of Inconel 718 by Davorin Kramar, Djordje Cica

“…In addition, optimization using the biogeographic optimization (BBO) algorithm was performed and validated in this study. …”
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Developing an alternative data-driven model to resemble geomorphologic rainfall-runoff models by Pin-Chun Huang, Kwan Tun Lee

“…The proposed artificial intelligence (AI) model, which incorporates a classification algorithm for preprocessing input features prior to training a model based on the recurrent neural network, exhibits outstanding performance in runoff discharge prediction. …”
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Myocardial infarction in young patients. Is everything so obvious? by M. V. Zykov, O. L. Barbarash

“…Despite the greater contribution of non-atherogenic causes to the development of myocardial infarction in young patients, atherosclerosis is still the main cause of its development. The authors of the review confirm the fact that there is currently no specially developed algorithm for managing patients with myocardial infarction at a young age, based on the identification of a number of traditional and non-traditional risk factors, on enhanced rehabilitation measures. …”
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Calculation of characteristics of X-ray devices by A. N. Orobinskyi

“…Knowledge of interdependence of basic characteristics of the X-ray devices allowes developing simple algorithm for their calculation at the values of homogeneity coefficient from 0,8 to 1, which makes it possible to choose an X-ray tube and filters with the purpose of obtaining X-ray radiation of the set quality.…”
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Anticipated changes in soybean drought stress and yield stability under future climates in Northeast China by Jiongchao Zhao, Yixuan Wang, Mingyu Zhao, Daniel Rodriguez, Peter de Voil, Zhihao Tan, Qingquan Chu

“…The declining yield coefficient-of-variation was mostly caused by both increases in mean yield and decreases in yield standard deviation. The random forest algorithm identified the reduction in the growing degree days during vegetative growth period was the main factor driving higher soybean yields. …”
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Person Re-Identification With Self-Supervised Teacher for In-Box Noise by Yonghyeok Seo, Seung-Hun Kim

“…The person re-identification task, which follows the detector algorithm step, is limited to information within the detected box. …”
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The influence of prenatal environmental conditions on the weight of newborn domestic pigs by S. V. Nikitin, S. P. Knyazev, V. I. Ermolayev

“…Maternal resource plays the main role amongst factors forming the environmental conditions of prenatal development. …”
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Numerical Approximation of the In Situ Combustion Model Using the Nonlinear Mixed Complementarity Method by Julio César Agustin Sangay, Alexis Rodriguez Carranza, Juan Carlos Ponte Bejarano, José Luis Ponte Bejarano, Eddy Cristiam Miranda Ramos, Obidio Rubio, Franco Rubio-López

“…The method is based on an implicit finite difference scheme and a mixed nonlinear complementarity algorithm (FDA-MNCP). One of its main advantages is that it ensures global convergence, unlike the finite difference method and the Newton method, which only guarantee local convergence. …”
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Recreational and tourist destination research methods by Tetiana Bozhuk

“… The methodological basis of the concept RTDe are the main provisions of the modern structural and socio-economic geography to study the spatial and temporal aspects of relations in the system "Man - Nature" and related sciences (knowladge about a tourizm, recreational geography, natural resources, etc.) that appeal to spatial heterogeneity of the studied phenomena. …”
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Default Risk Prediction of Enterprises Based on Convolutional Neural Network in the Age of Big Data: Analysis from the Viewpoint of Different Balance Ratios by Zhe Li, Zhenhao Jiang, Xianyou Pan

“…Imbalanced datasets and redundant features are two main problems that can reduce the performance of machine learning models. …”
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Basic principles of construction of high-quality analytical adaptable control systems for thermal energy processes by G. Т. Kulakou, A. Т. Kulakou

“…The advantages of structural-parametric optimization methods for creating high-quality control systems for heat-and-power processes have been substantiated. The following algorithm for forming a block diagram of a high-quality invariant cascade SAR is proposed. …”
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The Evolution of Global and Local Scientist Mobility Network: Evidence From ORCID Profiles by Ziyang Lin, Huiming Gu

“…Using social network analysis methods and the core-periphery profile algorithm, we analyze the structural evolution of the network. …”
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Comparative Analysis of The Combined Model (Spatial and Temporal) and Regression Models for Predicting Murder Crime by Laith S. Ibrahim, Ghadeer Jasim Mohammed

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Patterns with Equal Values in Permutation Entropy: Do They Really Matter for Biosignal Classification? by David Cuesta–Frau, Manuel Varela–Entrecanales, Antonio Molina–Picó, Borja Vargas

“…Two main weaknesses have been identified for permutation entropy (PE): the neglect of subsequence pattern differences in terms of amplitude and the possible ambiguities introduced by equal values in the subsequences. …”
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Analysis of Indicators of the Electrical Power Production Enterprises’ Pollution and Harm Risk Degree in Terms of the Paris Agreement by Kozlov Olexiy, Kovalchuk Vyacheslav, Vistiak Serhii, Klymchuk Nataliya

“…In the current decade, electricity consumption will increase by more than 16%. The main resources for electricity generation are oil – 2.53%; gas – 22.9%; coal – 35.98%; nuclear industry – 9.84%; hydraulic power regeneration – 15.01%; renewable sources – 12.85%; other – 0.89%. …”
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