Joint flow of Giesekus fluid and viscous Newtonian fluid in a circular tube by E. K. Vachagina, A. I. Kadyirov, A. A. Kaynova, G. T. Osipov

“…In this work a methodology for evaluating the efficiency of energy conversion during the gasification of woody biomass using methods of thermal and thermodynamic analyze is presented. …”
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Simultaneous Shape and Stacking Sequence Optimization of Laminated Composite Free-Form Shells Using Multi-Island Genetic Algorithm by Bingbing San, Zhi Xiao, Ye Qiu

“…The optimization objective is determined as maximizing fundamental natural frequency to obtain largest stiffness of shells. …”
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Markers of Brain Damage in Severe Concomitant Injury by Ye. V. Grigoryev, Ye. A. Kameneva, T. G. Grishanova, M. N. Deragin, A. V. Budayev

“…The paper describes a clinical case of early enteral feeding with an immune formula in a patient with significant heart failure after cardiosurgical intervention who is on venoarterial extracorporeal membrane oxygenation. The safety and efficiency of nutritional support were monitored, by estimating blood acid-base balance and oxygenation level and by controlling the residual gastric volume, which enabled the volume of the given enteral mixture to be increased up to 2600 kcal by day 3, by providing the body’s energy needs determined by calculation techniques. …”
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Dynamic switching based real-time routing in low-duty-cycle wireless sensor networks by Quan CHEN, Hong GAO

“…The dynamic switching based real-time(DSRT)routing protocol was proposed to handle the arbitrary end-to-end(E2E)real-time communication in the low-duty-cycle wireless sensor networks.Firstly,the concept of available speed was designed to compensate for the big sleep latency and facilitate discovering the routes with less latency based on two-hop neighbors’ information(at lease about 20% routing path with less latency was discovered by DRST in the experiments).Moreover,it was noticed that the congestion extent in the low-duty-cycle network was determined not only by the number of packets in the network output queue,but also the destination of the packets.However,the traditional method with one-hop neighbors’ information cannot differentiate this kind of congestion.Therefore,combined with the dynamic switching mechanism,the DSRT proposed a congestion avoiding algorithm by classifying the packets in the queue.Through comprehensive experiments,the efficiency of routing discovering and congestion avoiding of the DSRT protocol is demonstrated,and the E2E delay is decreased by at least 200% when the traffic was high.…”
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Water Leaching of Wood Barks for Biocarbon Production by Zsuzsanna Czegeny, Istvan S. Czirok, Gergo Szabo, Zoltan Sebestyen, Bence Babinszki, Emma Jakab, Liang Wang, Oyvind Skreiberg

“…Water leaching of birch bark, pine bark and spruce bark performed at 25 and 60 °C with and without stirring was tested as a pretreatment method to reduce the inorganic content of the feedstock. …”
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Influence of the Technological Parameter and Die Structure on Metal Flow Line for Precision Forging Car Gear Blank by Li Tianxing, Zhang Xunlei, Fu Jianzhong, Gao Zhenshan, Wu Shuaibin, Yang Chao

“…The method of pre- control optimization can effectively reduce the number of tests,reduce the production costs and increase the production efficiency. …”
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RESEARCH ON PARAMETRIC ANALYSIS AND MULTI-OBJECTIVE OPTIMIZATION OF CYLINDRICAL PRESSURE STRUCTURE by LIU Feng, TU ChaoHua, ZHAO YanKai

“…In order to improve the design efficiency and performance of the cylindrical pressure structure,strength and stability analysis methods were determined,the initial scheme was analyzed. the second development of Abaqus software was carried out by using Python language,Abaqus was integrated with i Sight software,the parametric analysis flow of pressure structure was designed,could realize automatic modeling and analysis of cylindrical pressure structure. the most Latin hypercube method was used to selectting the sample points,the sensitivity analysis of the design variables were carried out,The comparison of the fitting accuracy shown that the response surface model had the highest accuracy,the approximate model of the cylindrical pressure structure based on the fourth-order response surface was obtained. the multi-objective optimization model was established,The second generation of non dominated sorting genetic algorithm was used to solving the multi-objective optimization problem,the results shown that the weight of the optimization scheme was reduced,while the ultimate strength was greatly improved,improved the performance of the cylindrical pressure structure.…”
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Research on Visualization of Cylindrical Gear Hobbing Cutting Force and the Influence of Cutting Parameter on Hobbing Cutting Force by Xiaoqing Tian, Xinrong Zheng, Ruofeng Chen, Jiang Han, Lian Xia

“…The predictive model helps to optimize the design of the gear hobbing process to improve the quality and efficiency of the machining and reduce the cost.…”
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Problems of implementing SIEM systems in the practice of managing information security of economic entities by V. A. Sizov, A. D. Kirov

“…The aim of the study is to increase the efficiency of information security management of economic entities that use Security Information and Event Management (SIEM) systems by identifying and solving the main problems of introducing these systems into the management of information security practices of economic entities [1-3].Materials and research methods. …”
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Investigating the Impact of Earnings Management and Internal Control on the Financial Performance of Banks Using a Spatial Artificial Intelligence Approach by Wisam Fadhil Hanoon, Parviz Piri, Ali Ashtab

“…Earnings management showed a significant positive relationship with financial performance (spatial coefficient: 0.5953, Z-statistic: 61.87). Income per employee (coefficient: 0.3218, Z-statistic: 33.57) and sustainable investment return (coefficient: 0.2871, Z-statistic: 29.91) also had a positive impact on financial performance. …”
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Predicting body weight in Ross 308 broiler chickens using a data mining algorithm approach by L Bila

“…The CART data mining algorithm was found to be the best model, as it had greater predictive accuracy, and higher Pearson’s correlation coefficient, coefficient of determination, and adjusted coefficient of determination test results, when predicting body weight in both male and female Ross 308 chickens. …”
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Estimation of the yield and green water footprint of rainfed wheat based on remote sensing and machine learning by Mojgan Ahmadi, Hadi Ramezani Etedali, Abbass Kaviani, Alireza Tavakoli

“…The results showed a high coefficient of determination (R 2) (R 2 = 0.97) between the yield simulated by the AquaCrop model and the observed yield of the fields. …”
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Automatic Precision Planting Mechanism of Garlic Seeder by Guilin Chen, Yifan Yao, Lili Yi, Xiang Yin, Juan Du, Jun Chong

“…A kinematic model of the insertion planting process was established, with key parameters meticulously described and analyzed, providing theoretical support for determining optimal insertion parameters. A timing sequential control method was adopted to accurately control the periodic motion of the insertion planting mechanism. …”
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Hierarchical Facility Location Model for allocating cancer treatment units in interior of Rio de Janeiro by Isabella Fischer Guindani Vieira, Matheus Ferreira de Barros, Allan Cormack

“…Main findings Satisfactory results with homogeneous networks, centralized facilities in their service area and shorter distance traveled by users indicate the efficiency of the model in determining the optimum location given the number of facilities to be allocated. …”
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Preparation and Characterization of Olmesartan Medoxomil-Loaded Polymeric Mixed Micelle Nanocarrier by Halah Talal Sulaiman, Nawal A. Rajab

“…The results showed a significantly larger particle size, PDI, and lower EE% (p<0.05) than the thin film hydration method. Furthermore, the physical and chemical characteristics of F4 mixed nanomicelles were monitored over three months, both at room temperature and under refrigerated circumstances (4°C), and it was determined that the nanomicelles remained stable. …”
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Seasonal Changes in the Sorption Activity of Water-soluble Polysaccharides in Scotch Pine Cones (<i>Pinus sylvestris</i> L.) by D. K. Gulyaev, V. D. Belonogova

“…The sorption activity of polysaccharides was determined by the methylene blue. The molecular weight of polysaccharides was identified by the viscosimetric method.Results and discussion. …”
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Development of a PYTHON library for a mathematical model of nuclear reactor kinetics by Aleksei G. Goryunov, Danil D. Kachanov, Kirill D. Kachanov

“…This study addresses pressing issues in the efficient control of nuclear reactors using modern methods. …”
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Optimal Integration of Multiple Shunt Reactive Compensators in Radial Distribution Systems for Loss Reduction using Modified Mountain Gazelle Optimizer (MMGO) by A. F. S. Yussif, E. Twumasi, E. A. Frimpong

“…This approach reduces the search space and improves the efficiency of the optimization process. Secondly, the proposed MMGO algorithm is applied to determine the optimal locations and sizes of the shunt compensators. …”
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Gas chromatography and mass spectrometry (GC-MS) analysis of supercritical CO₂ extract of flower bud of Chrysanthemum indicum and its antibacterial activity by WANG Chunrong, FANG Chengji, YU Qingqing, JIANG Peng, TIAN Wei

“…However, the supercritical fluid of CO 2 (SFE-CO₂) is a low temperature processing technique and can fully keep the unique fragrance of Jumi, which is an efficient, nontoxic, pollution-free, and non-residual method to extract and separate Jumi essential oil.The objective of this paper is to evaluate the quality of Jumi essential oil extracted by SFE-CO₂ and determine its biological activity. …”
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Machine Learning Forecasting of Commercial Buildings’ Energy Consumption Using Euclidian Distance Matrices by Connor Scott, Alhussein Albarbar

“…Governments worldwide have set ambitious targets for decarbonising energy grids, driving the need for increased renewable energy generation and improved energy efficiency. One key strategy for achieving this involves enhanced energy management in buildings, often using machine learning-based forecasting methods. …”
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