A Capacity-Utilization-Oriented Stop Planning Approach for High-Speed Railway Network with Stop Distribution Balance by Shuo Zhao, Xinghua Shan, Jinfei Wu, Litao Zhang, Zhenyi Li, Xuying Liu

“…Stop planning is aimed to provide proper services for passenger demand, but diverse stop patterns lead to differences in stop density and travel speeds, impacting the utilization of line capacity. …”
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Financial Innovation and Sustainable Development in Selected Countries in West Africa by Folorunsho M. Ajide

“…On the other hand, financial innovations could potentially lead to an increase in money demand if payment systems improve and individual’s demand for more liquid assets is channeled to productive sectors. …”
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Macroscopic Fundamental Diagram Based Discrete Transportation Network Design by Guojing Hu, Weike Lu, Feng Wang, Robert W. Whalin

“…The presence of demand uncertainty brings challenges to network design problems (NDP), because fluctuations in origin-destination (OD) demand have a prominent effect on the corresponding total travel time, which is usually adopted as an index to evaluate the network design problem. …”
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Saving gas through cross-border renewable and nuclear electricity generation by Christoph Halser, Dogan Keles, Florentina Paraschiv

“…In fossil fuel-driven electricity markets, gas power plants are mostly the price setting technology in peak demand hours. At the same time, gas technology has the role of balancing out the volatility of increasing shares of intermittent renewable generation. …”
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Rolling Horizon Approach for Real-Time Charging and Routing of Autonomous Electric Vehicles by Avishan Bagherinezhad, Mahnoosh Alizadeh, Masood Parvania

“…The proposed model incorporates the most recent real-time information and the future expected value of energy level, spatial and temporal location of AEV fleet, traffic data, and passenger demand. Using this data, the proposed model adopts a rolling horizon approach to optimize the routing of AEVs to serve spatio-temporal passenger demand across the transportation network, while optimizing the time and location of AEVs charging to ensure the availability of energy to serve the passenger demand, and satisfying the operational constraints of the power distribution system. …”
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Simple assay quantifying sediment resuspension effects on marine carbon storage by Ines Bartl, Tegan Evans, Jenny Hillman, Simon Thrush

“…It is based on biochemical oxygen demand and compares sediment oxygen demand between undisturbed sediment cores and those subjected to resuspension, estimating resuspension‐induced CO₂ production. …”
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Multi-objective optimization and algorithmic evaluation for EMS in a HRES integrating PV, wind, and backup storage by Ahmed A. Shaier, Mahmoud M. Elymany, Mohamed A. Enany, Nadia A. Elsonbaty

“…The system is assessed across three operational scenarios: (1) when energy supply meets demand with help from backup systems, (2) when demand exceeds supply and energy storage systems are depleted, and (3) when energy generation surpasses demand and storage systems are full. …”
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Empowering Micro-Businesses: Unveiling the Catalysts behind Social Media Integration in Indonesia by Adisthy Shabrina Nurqamarani, Sarah Fadilla, Agus Priyanto

“…Additionally, strategies for positioning businesses in the digital landscape should be developed, keeping customer demand in mind. Conclusion: Leveraging social media presents a cost-effective means for digitalization. …”
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Robust-fuzzy-probabilistic optimization for a resilient, sustainable supply chain with an inventory management approach by the seller by Fateme Zahra Montazeri, Ali Sorourkhah, Dragan Marinković, Vesko Lukovac

“…The calculation results with the invasive weed optimization algorithm and the Baron method show that with the increase in the uncertainty rate in the network, the amount of demand has increased. Therefore, the total ordering, maintenance, and shortage costs have increased. …”
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Energy Adaptive Collaborative Charging Scheduling for Wireless Rechargeable Sensor Networks by Kun Wang, Zhejun Shen

“…This mechanism integrates periodic and on-demand charging scheduling, improving the charging stability and the energy adaptability of the network. …”
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Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm by Raji Krishna, Hemamalini S

“…Its reliability depends on variable renewable output and load demand, while an energy management system optimizes power scheduling and reduces costs. …”
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Topological Sustainability of Crop Water Requirements and Irrigation Scheduling of Some Main Crops Based on the Penman-Monteith Method by Waseem Asghar Khan, Jamshaid Ul Rahman, Mogtaba Mohammed, Ziyad Ali AlHussain, Murtada K. Elbashir

“…The physical topological indices due to low demand in winter and high demand in summer, the total net irrigation, and gross irrigation for clay loamy soils for wheat (210.6 mm and 147.4 mm), barley (176.6 mm and 123.6 mm), citrus (204.5 mm and 143.2 mm), and maize (163.9 mm and 114.7 mm), but not for rice. …”
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Prediction model for economy-driven provincial natural gas load in China by Xueping DU, Zhikai LANG, Menglin LIU, Jiangtao WU

“…Ten southern provinces (municipalities directly under the Central Government) were selected as the research subjects to quantitatively analyze the natural gas consumption demand in 2030. The results indicate that there is a strong demand for natural gas in the future. …”
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New and Renewable Energy Optimization to Meet North Sumatera Province’s Energy Share and Emission Road Map Period Year of 2022-2025 by Using LEAP by Dedi Khairunas, Hadiyanto Hadiyanto, Sri Widodo Agung Sueda

“…<table width="0" border="0" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="644"><p class="Abstract">The objective of this work is to evaluate the long-term energy demand and supply in North Sumatera Province. The Road Map for both NRE energy shares and GHG Emissions in North Sumatera is in Regional Regulation No. 4 Year 2022. …”
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Unraveling Power Consumption Pattern Using Multidimensional Scaling and Clustering Analysis by Utkarsh Misra, Gyana Ranjan Sahoo, Shikhar Prakash, Madhur Srivastava

“…With the rapid growth in electricity demand data and the integration of distributed energy resources, traditional methods struggle to capture zonal load patterns effectively. …”
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Analysis of service extensible capability for extensible network service model by Zuqin JI, Jun SHEN, Delin DING, Xiaowei CUI

“…The capability of providing network service extensibility is the major demand of next generation network,it is also the main challenge of network service model technology.The extensible network service model was proposed in response to the demand of network development.Firstly,an overview of the basic principles of the extensible network service model was expounded.And then,from the point of view of principle analysis,the service extension capability of the service model was qualitatively analyzed.Finally,using the analytic method of network service extensible capability,the service extension capability of the service model was quantitative analyzed from two perspectives of theory and practical application.The qualitative analysis and the quantitative analysis show that the extensible network service model has strong service extensible capability.…”
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Numbers for Successful Poultry Production by Gary D. Butcher, Amir H. Nilipour

“…Man has taken full control of incubating fertile eggs by artificial means to supply the increasing world demand for poultry meat. It is estimated that worldwide more than 30 billion broiler fertile eggs are incubated annually. …”
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Telecommunication Networks in Germany — Expanding with a Public Company by Cordelius Ilgmann, André Störr

“…Abstract The broadband network in Germany still meets current demand. However, the quality of the existing infrastructure offers little incentive for private investors to adapt their infrastructure to future needs. …”
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Dynamic spectrum allocation based on clone selection algorithm in cognitive heterogeneous wireless networks by Hua SHI, Jian-dong LI, Zhao LI

“…The system model of cognitive heterogeneous wireless networks was given.Based on this system model,the problem of dynamic spectrum allocation was formulated as a constrained 0-1 integer programming with maximizing the network utility in mind,and considering the demand for spectrum from various radio access networks、the interference between them and heterogeneous granularity channels because of the fact that different radio access technologies use channels with different widths.An intelligent algorithm named clone selection algorithm was applied to solve this problem within which a new coding scheme for the antibody was proposed based on the demand for spectrum and heterogeneous granularity channels.Simulation results show that the proposed method could improve the network utility and spectrum utilization compared with greedy allocation algorithm.…”
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Multi-keyword searchable encryption scheme based on dynamic cuckoo filter by WANG Qian, ZHAO Shengnan, ZHAO Chuan, JING Shan, CHEN Zhenxiang

“…Existing solutions have utilized Cuckoo Filter (CF) on the server side to achieve multi-keyword searching.The capacity of CF is preset, which can not satisfy the continuous growth of the capacity expansion demand on the server side. To solve the above problems, a dynamic multi-keyword searchable encryption (DMKSE) was proposed, which used the dynamic cuckoo filter to solve the server-side capacity expansion demand, and improved the storage of document-keyword pairs, which improved the space utilization of the server-side, without additional time overhead. …”
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