Zonotope approximation based flexible cluster division method for load‐side resource scheduling by Zongjun Yao, Tieyan Zhang, Jinfeng Huang

“…Secondly, modularity and flexibility supply and demand balance index are proposed to perform flexibility clustering of load‐side resources. …”
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Smart Microgrid Energy Management Using a Novel Artificial Shark Optimization by Pawan Singh, Baseem Khan

“…At present, renewable energy sources (RESs) integration using microgrid (MG) technology is of great importance for demand side management. Optimization of MG provides enhanced generation from RES at minimum operation cost. …”
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A Study on the Prediction of House Price Index in First-Tier Cities in China Based on Heterogeneous Integrated Learning Model by Yaqi Mao, Yonghui Duan, Yibin Guo, Xiang Wang, Shen Gao

“…Finally, to solve the issue of unintelligible black boxes in machine learning models, we have used the state-of-the-art interpretation method SHAP combined with the LightGBM algorithm to interpret the model, and the result can be used as a basis for real estate policy planning and adjustment and even guide the demand of home buyers, thus improving the efficiency and effectiveness of government policy making.…”
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COMPUTERIZED ANALYSIS OF THE RELATIONSHIP BETWEEN ALLERGENICITY OF MICROORGANISMS AND THEIR HABITATS by A. O. Bragin, P. S. Demenkov, E. S. Tiys, R. Hofestädt, V. A. Ivanisenko, N. A. Kolchanov

“…It is shown that the number of allergenic proteins in the proteomes of microorganisms is significantly associated with their pathogenicity, habitat, temperature conditions of the habitat, and oxygen demand.…”
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Signal Control Strategy for Supersaturated Traffic at Urban Road Intersections with a Large Technical Grade Gap by Baiqun Ding, Liu Yang, He Xu, Yongming He

“…This control strategy can make full use of the capacity of the main road to control the queue length on the minor road, effectively reduce the risk of minor road queue overflow blocking local road network traffic operation involved, and comprehensively balance the traffic demand between arterial and minor roads. It provides a reference control method for coping with the transfer of the main traffic contradiction under the oversaturated state of the road intersection with large disparity.…”
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The role of side walls of atriums and building intelligence in optimizing energy consumption in commercial centers of Tehran by Amir Shayanian, Fatemeh Mozaffari Qadiklayi, Ali Pahlavan

“…Increasing energy demand and environmental problems caused by the consumption of fossil fuels have made the use of passive solar energy methods more necessary, especially in commercial centers. …”
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E-learning Platform and Pedagogical Monitoring in the Context of Digital Transformation by A. V. Khaperskaya, М. G. Minin

“…Taking into account the fact that there is a huge variety of different foreign and domestic aggregators of online courses it is necessary to develop a technology providing a selection of on-demand courses to reduce the time expenditure.…”
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Adaptive Fuzzy Sliding Mode Guidance Law considering Available Acceleration and Autopilot Dynamics by Yulin Wang, Shengjing Tang, Wei Shang, Jie Guo

“…Conventional guidance laws based on adaptive sliding mode control theory were designed to intercept a maneuvering target. However, they demand a large acceleration for interceptor at the end of the terminal guidance, which may have acceleration saturation especially when the target acceleration is close to the available acceleration of interceptor. …”
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Characteristics of Tight Oil Reservoir Based on Nano-CT by Zhe Liu, Wenke Li, Jiajing Li, Wei Wang, Guang Fu

“…The results show that the introduction of nano-CT technology into the study of tight oil reservoir characteristics can meet the market demand of tight oil and increase by 3.54%. It can continuously expand and develop rich oil resources under the condition of protecting geology and reservoirs, providing strong technical support for the next generation of large-scale tight oil storage and efficient growth, and can be used to a certain extent for research. …”
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A Levenberg–Marquardt algorithm‐based line parameters identification method for distribution network considering multisource measurement by Dongliang Xu, Xuewen Song, Zaijun Wu, Junjun Xu, Qinran Hu

“…Abstract The uncertainty brought by the integration of distributed generations in distribution networks poses a higher demand for situation awareness in the distribution network. …”
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Trap Sequence: Case Report by Sümeyra Nergiz, Selda Demircan Sezer, Sündüz Özlem Altınkaya, Mert Küçük, Alparslan Ünsal, Ali Rıza Odabaşı, Hasan Yüksel

“…Here, a TRAP sequence case diagnosed at 14 weeks of gestation in antenatal period and followed up spontaneously until labor, with the demand of the family is presented. …”
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Material Flow Analysis of Fossil Fuels in China during 2000–2010 by Sheng Wang, Jing Dai, Meirong Su

“…Since the relationship between the supply and demand of fossil fuels is on edge in the long run, the contradiction between the economic growth and limited resources will hinder the sustainable development of the Chinese society. …”
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Substantiation of directions for improving the management mechanism of the construction complex in the Donetsk People’s Republic by A. S. Tarasov

“…In a dynamically changing market environment characterised by high volatility of supply and demand as well as by an accelerated pace of technological innovation, improving management approaches in the construction industry becomes critically important. …”
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Assessing the product attributes of Iranian localized frozen dumpling dough incorporated with fish paste by M. Shirazy, N. Mooraki, M. Honarvar

“…Discriminant Analysis (DA) and Product Characterization analysis indicated that replacing 20% FP and storing for 90 days did not meet consumer demand. The chemical and sensory characteristics of dumplings stored at – 18 °C for 60 days post-production showed that wheat flour can be replaced with 10% silver carp paste.…”
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The Loss of HIF1α Leads to Increased Susceptibility to Cadmium-Chloride-Induced Toxicity in Mouse Embryonic Fibroblasts by Ajith Vengellur, Elizabeth Grier, John J. LaPres

“…The total and oxidized glutathione levels, and, correspondingly, lipid peroxidation levels were elevated in the null cells compared to wild-type cells, indicating increased antioxidant demand and greater oxidative stress. Overall, the results suggest that basal levels of HIF1α play a protective role against cadmium-induced cytotoxicity in mouse embryonic fibroblasts by maintaining metallothionein and antioxidant activity levels.…”
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Electric Vehicles and Storage Systems Integrated within a Sustainable Urban District Fed by Solar Energy by Stefano Bracco, Federico Delfino, Michela Longo, Silvia Siri

“…In this paper, an optimization model is defined for the design of a smart energy infrastructure integrating different technologies to satisfy the electrical demand of a given site. The considered smart energy infrastructure includes a photovoltaic plant, electrical storage systems, electric vehicles (EVs), and charging stations. …”
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Evolutionary Game for Dual-Subject Coopetition Relationship in the Product–Service System by Chunliu Zhou, Nannan Shen, Xinxin Zhou, Jianhua Cao, Hongfeng Dong

“…Finally, key findings include (1) the variations of market service demand and technology diffusion revenue drive strategy evolution; (2) the unilateral cooperation cost presents the law of diminishing marginal effect, especially on EOEs; (3) an optimal profit distribution ratio exists, which has the most impact on the probability of cooperation. …”
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Intermittent Boluses of Local Anesthetic Through Quadratus Lumborum Catheters for Analgesia in a Living Donor Hepatectomy by Shelly B. Borden, Molly K. Groose, Eric R. Simon, Aaron S. Hess, Kristopher M. Schroeder

“…The demand for liver transplants in the United States far exceeds the supply of organs. …”
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A Selection Hyper-Heuristic Algorithm for Multiobjective Dynamic Economic and Environmental Load Dispatch by Le Yang, Dakuo He, Bo Li

“…Dynamic economic and environmental load dispatch (DEED) aims to determine the amount of electricity generated from power plants during the planning period to meet load demand while minimizing energy consumption costs and environmental pollution emission indicators subject to the operation requirements. …”
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Ignition delay prediction for fuels with diverse molecular structures using transfer learning-based neural networks by Mo Yang, Dezhi Zhou

“…In this study, a transfer learning-based neural network approach to predict ignition delays for a variety of fuels is proposed to meet the demand for accurate combustion analysis. A comprehensive dataset of ignition delays was generated using a random sampling technique across different temperatures and pressures, focusing on hydrocarbon fuels with 1–4 carbon atoms. …”
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