Carbapenemases Produced by Multidrug-Resistant Strains of <i>Klebsiella Pneumoniae</i> Isolated from Intensive Care Patients by T. V. Chernenkaya, L. A. Borisova, T. Yu. Vorobieva, M. A. Godkov, A. K. Shabanov

“…The main mechanism for the formation of resistance to carbapenems is the production of carbapenemases by bacteria. …”
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The implementation of the situational control concept of information security in automated training systems by A. M. Chernih, S. V. Fedoseev

“…The main approaches to ensuring security of information in the automated training systems are considered, need of application of situational management of security of information for the automated training systems is proved, the mathematical model and a problem definition of situational control is offered, the technique of situational control of security of information is developed.The purpose of the study. …”
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Decision Support System for Diagnosing Underwater Electrical Cables by Tymochko O., Tymoshchuk О., Timochko O., Boiko S., Mazhara I., Hannoshina, I., Shapran Yu.

“…The goal of the work is to develop the architecture of a decision support system for diagnosing underwater electrical cables and the main algorithms for its operation. To achieve the research goal, intelligent agents with a complex IPK architecture, which includes information, preferences (rules), and knowledge, were used. …”
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Multiple pregnancy and solutions to the problem of its complications (a literature review) by M. O. Franchuk, L. M. Malanchuk, O. A. Franchuk

“…In order to timely identify, prevent and reduce the severity of specific complications, it is necessary to know the features of multiple pregnancies course and the main risks associated with it. However, there are still no universal algorithms for determining proper follow-up, treatment and the choose of delivery mode among women with various variants of multiple pregnancies. …”
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Observer-Based Asynchronous Guaranteed Cost Control of 2-D Markov Jump Roesser Systems With Nonideal Transition Probabilities by Jiazheng Liu, Yang Yang, Yaru Song

“…This paper mainly investigates the asynchronous observer-based guaranteed cost control problem for two-dimensional Markov jump Roesser systems with nonideal transition probabilities. …”
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An optimal federated learning-based intrusion detection for IoT environment by A. Karunamurthy, K. Vijayan, Pravin R. Kshirsagar, Kuan Tak Tan

“…However, these traditional procedures mainly focus on training the machine learning model through specific data and parameters. …”
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How deep learning identifies and learns aspects of plant for classification by Devi V. Sowmya, Pooja Govu, Ramya Sande, Priya Nakka Vishnu

“…We gathered data from diverse plants highlighting mainly on leaves, fruits, flowers and vegetables. …”
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A Pragmatic Optimization Method for Motor Train Set Assignment and Maintenance Scheduling Problem by Jian Li, Boliang Lin, Zhongkai Wang, Lei Chen, Jiaxi Wang

“…This paper focuses on considering the special maintenance items of motor train set and mainly meets the two maintenance cycle limits on aspects of mileage and time for each item. …”
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Implementing Large Language Models in Health Care: Clinician-Focused Review With Interactive Guideline by HongYi Li, Jun-Fen Fu, Andre Python

“…However, the diversity of LLMs that may perform optimally in each context remains limited. …”
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Analytical Methods and Determinants of Frequency and Severity of Road Accidents: A 20-Year Systematic Literature Review by Carlos M. Ferreira-Vanegas, Jorge I. Vélez, Guisselle A. García-Llinás

“…By introducing a new approach based on computational algorithms and data visualization, this SLR fills a gap in the area of RTA analysis and provides a clear picture of the current scientific production in the field. …”
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DETERMINATION OF THE BASIC PARAMETERS OF SENSOR DEVICES FOR THE IMPLEMENTATION OF PSYCHONEUROLOGICAL RESEARCH WITH THE INTRODUCTION OF MULTITOUCH TECHNOLOGY by Karina Selivanova, Oleg Avrunin, Nikita Kazimirov

“…The scientific novelty and practical significance of the obtained results is the development of specialized software and algorithmic software for dynamic testing on sensory devices with the ability to video record the movements of the upper extremities in the mode "Rapid". …”
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Surrogate modeling of passive microwave circuits using recurrent neural networks and domain confinement by Kaustab C. Sahu, Slawomir Koziel, Anna Pietrenko-Dabrowska

“…This research suggests a new technique for dependable modeling of microwave circuits. Its main ingredient is a recurrent neural network (RNN) with the main architectural components being bidirectional Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) layers. …”
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Task shifting for non-communicable disease management in low and middle income countries--a systematic review. by Rohina Joshi, Mohammed Alim, Andre Pascal Kengne, Stephen Jan, Pallab K Maulik, David Peiris, Anushka A Patel

“…Factors such as training of NPHWs, provision of algorithms and protocols for screening, treatment and drug titration were the main enablers of the task-shifting intervention. …”
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DEVELOPMENT OF A SOFTWARE MODULE FOR OPERATIONAL DISPATCH CONTROL OF PRODUCTION BASED ON CYBER-PHYSICAL CONTROL SYSTEMS by Igor Nevliudov, Vladyslav Yevsieiev, Nataliia Demska, Sergiy Novoselov

“…The process of checking the achievement of the main goal of CPPS development has been automated, which makes it possible to make changes and manage the CPPS development process at any level and stage of the proposed technology. …”
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Digital technologies are the basis of digital economy of civil aviation airport refueling complexes by A. A. Brailko, O. V. Gromov, L. A. Druzhinin

“…The article analyzes the main information automated control systems for refueling complexes, based on this analysis, the problems of the airport ground handling functioning are identified, the main of which are the inefficiency of managing stochastic processes that occur in failure situations, as well as the lack of automated control systems for the level of purity of aviation fuel from mechanical impurities and water. …”
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A Smart Platform for Monitoring and Managing Energy Harvesting in Household Systems by Teodora Sanislav, George D. Mois, Sherali Zeadally, Silviu Folea, Horia Hedesiu

“…Based on a long-term analysis of its operation, the main advantages and disadvantages of the proposed implementation solution are highlighted, exemplifying the concepts presented in the paper. …”
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Efficiency of the Photoluminescent Method for Monitoring the Homogeneity of Feed Mixtures in Animal Husbandry by M. V. Belyakov, E. A. Nikitin, I. Yu. Efremenkov

“…(Results and discussion) The components excitation spectra revealed the main maxima of 362 nanometers and 424 nanometers. …”
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Developing an Efficient Calibration System for Joint Offset of Industrial Robots by Bingtuan Gao, Yong Liu, Ning Xi, Yantao Shen

“…Consequently, an optimization model was formulated and the Levenberg-Marquardt (LM) algorithm was employed to identify the joint offsets. …”
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Radioactive Imagine Agents: 99mTc-Toxicological Study by Kafa Khalaf Hammud

“…Many biomolecules labeled with Technetium-99 in relationship to toxicity issues can be transported, distributed, and detected with the computerized algorithm detector depending upon chemical, biological, metabolic, and functional properties of tissue or organ (bone, liver, heart, kidney, and others). …”
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基于时间序列幅值分量标度特性的齿轮箱故障诊断 by 林近山, 窦春红, 伦冠德, 刘炳强

“…Gearboxes are complex dynamical systems and vibration data from defective gearboxes are typically characterized by nonstationarity and nonlinearity.Consequently,it is difficult to extract fault features from these nonstationary and nonlinear data.Detrended Fluctuation Analysis（DFA）can be employed to analyze nonstationary and nonlinear data and the scaling-law curve obtained by DFA can be used to display the dynamical behavior of complex systems.However,scaling-law curves of original data from fault gearboxes usually assume complex shapes.As a result,it is a difficult problem to extract feature parameters from these complex scaling-law curves.To resolve the problem,the scaling property of increment series from fault gearboxes is studied and that the amplitude component of the increment series mainly conveys the nonlinear information is proved.Next,a novel method for fault diagnosis of gearboxes based on scaling features of amplitude components of time series is proposed.The proposed method consists of four parts.Firstly,the increment series of original series is derived.Next,the amplitude component of the increment series is determined.Thirdly,the DFA algorithm is utilized to acquire the scaling-law curve of the amplitude component.Finally,the fluctuation parameters for the starting and the crossover points of the scaling-law curve are extracted and used as feature parameters to describe the conditions of a gearbox.Subsequently,the effectiveness of the proposed method is checked using gearbox fault data.The results show that the proposed method is robust to noise,delivers a good performance and outperforms the diagnostic methods using the temporal parameters in fault diagnosis of gearbox.…”
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