Influence of seasonality on excursion demand: statistical approach by Liudmyla Hutsal, Valentyna Stoliar

“…The purpose of the article is to analyze seasonal trends in excursion demand based on statistical methods, which allows identifying patterns in consumer behavior and adapting the offers of tour operators to improve business efficiency. …”
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Use of diesel engine exhaust gas heat for heating passenger cars by G. М. Stoyakin, A. V. Kostin, S. N. Naumenko

“…As an alternative source of energy for these systems, the possibility of using the waste heat of the diesel locomotive engine is analysed.Materials and methods. The article provides an analysis of the engine waste heat sources, cooling water and exhaust gases. …”
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Economic diagnosis of operational activities of an industrial enterprise based on business indicators by E. Yu. Belova, A. V. Badina

“…The application of forecasting methods in the economic diagnostic process is justified, utilising trend models to enhance forecast representativeness. …”
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FIXED ASSETS AS AN ELEMENT OF THE PRODUCTION POTENTIAL OF THE AGRICULTURAL SECTOR IN REGIONS by Olga LAVRINA, Elena SHIROKOVA, Irina SHPAGINA, Valeria MAGERA

“…For analytical data processing, methods of scientific generalization, systematization and statistical groupings were used. …”
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Topology synthesis based on FIS theory of double-layer parallel mechanism with all drives fixed by Yang Qi, Zhiyong Meng

“…Proposed are anticipated motion patterns and allocation methods. Furthermore, the standard chains are analyzed and characterized based on the desired motion patterns. …”
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Bora Bora therapy for osteoporosis by N A Khitrov, N A Berestovaya

“…The patients underwent a routine clinical laboratory examination; dual-energy X-ray absorptiometry (DEXA) was used to estimate BMD; the authors determined the intensity of pain in the back and on palpation of paravertebral muscles by the VAS (visual analog scale (in mm), the range of spinal motions, the overall efficiency of treatment, and the presence of adverse reactions. …”
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Transformation of the agricultural sector and fishing industry in the Magadan region in the late 1950-ies – early 1960-ies by P. S. Grebenyuk

“…The relevance of the study is determined by the need to examine the transformation of the agricultural sector in the Magadan region after the liquidation of Dalstroy, when the region was transitioning to a new management model. …”
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Investigation of the Acceleration Spectrum of a Vibratory Roller in the Process of Soil Compaction by Evgenij A. Shishkin, Alexander A. Smolyakov

“…There are several indicators that are determined by the different harmonics of the acceleration frequency spectrum use. …”
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ABOUT INFLUENCE OF CONCRETE SLAB REINFORCEMENT ON PLATE RESISTANCE TO PUNCHING FORCE by A. I. Mordich, V. N. Belevich, D. I. Navoy, D. M. Mordich

“…Moreover, the computational methods do not take into account at all an influence of longitudinal reinforcement on both principal axis of the building frame or take it into account this phenomenon by empirical dependence indirectly. …”
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Outdoor location scheme with fingerprinting based on machine learning of mobile cellular network by Zhichao ZHOU, Yi FENG, Xiaohan XIA, Yuyao FENG, Chao CAI, Jiahui QIU, Lihui YANG, Yunxiao WU

“…The positioning scheme based on mobile cellular network technology is one of the important technical approaches to provide network optimization, emergency rescue, police patrol and location services.The traditional positioning scheme based on cell base station location information has low positioning accuracy and large positioning error, so it cannot meet the requirements of some positioning applications.The scheme based on fingerprint location can greatly improve the location accuracy, save computational cost and enhance the usability based on the coarse location scheme of the cell and become the hotspot of the research.Rasterization and non-rasterization of outdoor fingerprint location scheme based on machine learning were studied and analyzed to meet the business requirements of outdoor fingerprint location.By means of parameter weighting, data fitting and other methods, large-scale fingerprint data were cleaned to improve the effectiveness of data sources.Through the realization of sub-modules such as demarcating research area, rasterizing, constructing fingerprint database, training model, correcting model, non-rasterizing, rough positioning coupling, matching parameter and training parameter, the operation efficiency and positioning accuracy of the algorithm were analyzed and optimized, and the key indexes affecting the algorithm performance were determined.Then, the performance of two fingerprint-based localization schemewas analyzed based on the simulation results.Finally, the typical scenarios of the fingerprint location scheme based on machine learning in practical application were presented.…”
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Role of artificial intelligence (AI) and machine learning (ML) in the corrosion monitoring processes by Rajasekaran Saminathan, Abdulla Yahya Ali Nashali, Abdulrahman Ahmed Ali Haqawi, Shanmugasundaram Marappan, Shanmuga Priya Natesan, Farah Shakeel

“…Through this assessment, the solutions and efficient corrosion monitoring methods that are specific to the domains made available. …”
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Power Quality Coupling Assessment Based on Data-Driven under Multiple Pollution Patterns by Jian ZHANG, Hao YU, Jianquan LIANG, Yue WANG, Heqian LIU

“…Finally case simulation analyses are conducted on the IEEE 14-bus system, and the accuracy and efficiency of the proposed method are verified by comparing the conventional time series pattern matching methods.…”
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Comparative Study of Discounted Cash Flow and Energy Return on Investment: Review of Oil and Gas Resource Economic Evaluation by J. Yan, L. Feng, A. N. Steblyanskaya, S. Fu

“…The authors suggest using a new assessment method that determines the energy return on investment (EROI). …”
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Economic Model Predictive Control for Wastewater Treatment Processes Based on Global Maximum Error POD-TPWL by Zhiyu Wang, Jing Zeng, Jinfeng Liu

“…These advancements underscore the method’s potential for real-time implementation in complex industrial systems, balancing computational efficiency with control precision. …”
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Extraction of Pregabalin in Urine Samples Using a Sulfonated Poly(ether ether ketone) Membrane by Chanbasha Basheer

“…Optimizing conditions of the extraction method were investigated to obtain higher extraction efficiency. …”
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Demonstration of accurate ID-VG characteristics modeling in SiC mosfets using separated artificial neural networks with small training dataset by Manopat Chankla, Bang-Ren Chen, Shivendra Kumar Singh, Yogesh Singh Chauhan, Wen-Jay Lee, Nan-Yow Chen, Songphol Kanjanachuchai, Tian-Li Wu

“…A transition layer is also used to model the transition between the ON- and OFF-states. We evaluated our method on training datasets of various sizes. This method achieved a coefficient of determination (R 2) exceeding 99.96% on 3000 I D –V G curves when training was conducted using only 150 randomly selected curves, with a modeling time of less than 10 s. …”
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Two dynamical models for male infertility and their stability and sensitivity analysis by Somaye Ghiasi Hafezi, Mahdi Ranjbar, Atena Ghasemabadi, Sohrab Effati, Alvand Naserghandi, Kosar Namakin, Farzad Allameh

“…Our dynamical models evaluate ART success rates in our subgroups considering couples under Intrauterine insemination (IUI), In Vitro Fertilization–Embryo Transfer (IVF), Intra–Cytoplasmic Sperm Injection (ICSI) treatment methods. Sensitivity analysis of parameters suggests that an increase in infertile couples who use IUI and ICSI treatment methods can result in better disease control and a more favorable outcome. …”
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RESEARCH ON CONSTRUCTIVE AND TECHNOLOGICAL PARAMETERS OF MEMBRANE APPARATUS FOR COTTAGE CHEESE WHEY CONCENTRATION by Stefankin A.E.

“…This cannot be related to the protein concentrates obtained by standard methods. Moreover, in some cases, membrane methods are not only economic and less power-intensive in comparison with other methods, but they often allow using more raw materials and energy to be used, i.e. there is a possibility of secondary raw materials and waste processing. …”
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Multisensor Track Occupancy Detection Model Based on Chaotic Neural Networks by Ze-xi Hua, Xiang-dong Chen

“…However, this method completely relies on manual confirmation and it thus usually leads to low detection efficiency and high labor intensity. …”
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Analysis of two Nocardia brasiliensis class A β-lactamases (BRA-1 and BRS-1) and related resistance to β-lactam antibiotics by Aimee Songo, Hervé Jacquier, Maxime Danjean, Fabrice Compain, Delphine Dorchène, Zainab Edoo, Paul-Louis Woerther, Michel Arthur, David Lebeaux

“…In this study, we characterised resistance mediated by two β-lactamases in the reference strain N. brasiliensis HUJEG-1 and extended our analysis to nine N. brasiliensis clinical strains. Methods: The susceptibility of N. brasiliensis HUJEG-1 was determined by measuring the MIC via microdilution for five β-lactam antibiotics that were or were not associated with β-lactamase inhibitors (clavulanate and avibactam, 4 µg/mL). …”
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