Energy optimization strategy for integrated energy system considering energy storage thermal inertia by Li WANG, Dongwen CHEN, Junge LI, Shunqi ZENG, Yong LI

“…The advantages of multi energy conversion and coordination energy supply in the integrated energy system and the thermal inertia characteristics of the cold storage/thermal system were considered to realize the rapid recovery of energy supply system when the energy supply system fails.The power relationship of multi energy flow in all kinds of energy conversion equipment was studied.The import power of all kinds of energy conversion equipment was controlled to achieve cooperative operation.The dynamic response time of all kinds of energy conversion equipment and the method of energy storage capacity adjustment with thermal inertia of heat storage and heat storage equipment was analyzed.The dynamic response time were used as the target to optimize the running strategy,and the priority of energy supply and the optimal matching of power supply were realized when the multi energy conversion equipment fails,and the final optimal operation strategy was obtained.The example shows that the resilience of multi energy coordination and energy storage capacity can quickly deal with the energy supply failures in various scenes,realize energy supply extension at the hour level,and realize fast energy supply recovery in the energy supply system for integrated energy systems.…”
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On the Error Rate Analysis of Dual-Hop Amplify-and-Forward Relaying in Generalized-K Fading Channels by George P. Efthymoglou, Nikolaos Bissias, Valentine A. Aalo

“…We present novel and easy-to-evaluate expressions for the error rate performance of cooperative dual-hop relaying with maximal ratio combining operating over independent generalized-𝐾 fading channels. …”
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Napiergrass: Biology and Control in Sugarcane by Curtis Rainbolt

“…This document is SS-AGR-242, one of a series of the Agronomy Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. …”
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Ghost Ant, Tapinoma melanocephalum (Fabricius) (Insecta: Hymenoptera: Formicidae) by J. C. Nickerson, C. L. Bloomcamp, Thomas R. Fasulo

“…This document is EENY-310 (originally published as DPI Entomology Circular 307), one of a series of Featured Creatures from the Entomology and Nematology Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. …”
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Competing frames over the Grand Ethiopian Renaissance Dam in the Egyptian and Ethiopian media by Desalegn Aynalem, Desalegn Aynalem, Abdissa Zerai

“…This study argues that such polarized and bifurcated depiction of the dam on the media has contributed to conflicting rather than cooperative relationship between the two riparian countries.…”
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Coupling Relationship between Multistage Fluid Activity and Reservoir Abnormally High-Porosity Zones in the Songtao–Baodao Region, Qiongdongnan Basin by Xu Chen, Yao Wang, Ao Su

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A Three-Phase Top- Query Based Distributed Data Collection Scheme in Wireless Sensor Networks by Guorui Li, Jingsha He, Cong Wang

“…In the distributed iterative hard thresholding algorithm, the cluster heads or sink nodes reconstruct the compressed data in a distributed and cooperative manner. Meanwhile, the top- k query operation in the above algorithm is realized by pruning unnecessary elements among cluster heads or sink nodes in the three-phase top- k query algorithm. …”
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Análise de um empreendimento de economia solidária sob a ótica da sociologia das ausências e das emergências by Marília Veríssimo Veronese

“…This paper is a result of a doctorate research in psychology, a case study done in an urban cooperative society in Porto Alegre (RS). Its goal is to discuss the work in the solidary economy, analyzing the experiences of workers in an enterprise, as well as the subjectivity questions linked to laboral processes. …”
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Acalypha wilkesiana by Edward F. Gilman

“…This document is Fact Sheet FPS-6, one of a series of the Environmental Horticulture Department, Florida Cooperative Extension Service, Institute of Food and and Agricultural Sciences, University of Florida. …”
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Impact of Tropical Storm Bopha on the Intensity Change of Super Typhoon Saomai in the 2006 Typhoon Season by Hongxiong Xu, Xuejin Zhang, Xiangde Xu

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Fostering student engagement during teaching practicum: pre-service EFL teachers’ strategies by Iqlil Salsabila

“…The findings revealed that there were six strategies used to increase student engagement during teaching practicum, including measuring student engagement, establishing good communication between pre-service teachers and students, balancing structure and student autonomy through cooperative learning methods, promoting digital media as an innovation in the learning process, providing evaluation questions, and increasing the engagement of students with exciting activities. …”
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An energy self-sustaining scheduling scheme for UAV delivery networks by XU Jia, YUAN Ming, WU Sixu, TAN Xin, LUO Jian

“…A two-stage self-sustaining multiple UAV cooperative delivery and charging scheduling scheme was proposed. …”
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Ecología y Monitoreo del Lagarto Americano para el Plan Comprensivo de la Restauración de los Everglades by Ken G. Rice, Frank J. Mazzotti, Marianna D. Conill

“…Este documento es Cir 1478S, perteneciente a la serie del Departamento de Ecología y Conservación de Fauna Silvestre, University of Florida, Cooperative Extension Service, Institute of Food and Agricultural Sciences. …”
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Field Diagnosis and Management of Phytophthora Diseases by Stephen H. Futch, James H. Graham

“…This document is HS-1015, one of a series of the Horticultural Sciences Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. …”
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Using Crop Models and Climate Forecasts to Aid in Peanut Crop Insurance Decisions by Clyde W. Fraisse, James L. Novak, Axel Garcia y Garcia, James W. Jones, Charles M. Brown, Gerrit Hoogenboom

“…This document is CIR 1468, one of a series of the Agricultural and Biological Engineering Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. …”
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Antimicrobial drug use and its association with antimicrobial resistance in fecal commensals from cows on California dairies by Essam M. Abdelfattah, Essam M. Abdelfattah, Pius S. Ekong, Emmanuel Okello, Emmanuel Okello, Tapakorn Chamchoy, Betsy M. Karle, Randi A. Black, Wagdy ElAshmawy, Wagdy ElAshmawy, David Sheedy, Deniece R. Williams, Terry W. Lehenbauer, Terry W. Lehenbauer, Barbara A. Byrne, Sharif S. Aly, Sharif S. Aly

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Southern Pine Beetle, Dendroctonus frontalis Zimmermann (Insecta: Coleoptera: Scolytidae) by James R. Meeker, Wayne N. Dixon, John L. Foltz, Thomas R. Fasulo

“…Consequently, once SPB have successfully colonized a tree, the tree cannot survive, regardless of control measures. his document is EENY-176 (originally published as DPI Entomology Circular 369), one of the Featured Creatures series of the Entomology and Nematology Department, Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. …”
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Modeling Microscopic Car-Following Strategy of Mixed Traffic to Identify Optimal Platoon Configurations for Multiobjective Decision-Making by Mudasser Seraj, Jiangchen Li, Zhijun Qiu

“…Simulation results reveal that grouping ADS vehicles at the front of traffic stream to apply Cooperative Adaptive Cruise Control (CACC) based car-following model will generate maximum mobility benefits for upstream vehicles. …”
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Research on Multilevel Classification of High-Speed Railway Signal Equipment Fault Based on Text Mining by Fan Gao, Fan Li, Zhifei Wang, Wenqi Ge, Xinqin Li

“…In the multilevel classification model, the single-layer classification model was designed based on stacking integrated learning idea; the recurrent neural network BiGRU and BiLSTM were used as primary learners, and the weight combination calculation method was designed for secondary learners, and k-fold cross verification was used to train the stacking model. The multitask cooperative voting decision tree was designed to correct the membership relationship of classification results of each layer. …”
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