Broiler Management - The First 24 Hours by Gary D. Butcher, Amir H. Nilipour

“…This document is VM124, one of a series of the Veterinary Medicine-Large Animal Clinical Sciences Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. …”
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Study on the Emergency Management System considering Victims’ Self-Rescue Abilities by Wei Liang, Yanyan Huang, Jianyu Wang

“…Based on the background of the earthquake rescue operation, this paper studies the related contents of the cooperative emergency response system of disaster victims and rescuers by using the modeling and simulation method of the multiagent. …”
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The Ecology and Economics of Florida's Ranches by Martin B. Main, Mickey E. Swisher, Jeff Mullahey, William DeBusk, Avrum J. Shriar, George W. Tanner, James Selph, Patrick Hogue, Patrick Bohlen, Ginger M. Allen

“…This document is WEC 187, one of a series of the Wildlife Ecology and Conservation Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. …”
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Caladium Cultivars Developed at the University of Florida/IFAS by Zhanao Deng, Brent K. Harbaugh

“…This document is ENH 965, one of a series of the Environmental Horticulture Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. …”
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Coordinated UAV-UGV trajectory planning based on load balancing in IoT data collection by Yuchao ZHU, Shaowei WANG

“…To improve the efficiency of large-scale Internet of things (IoT) data collection, a coordinated trajectory planning algorithm for multiple aerial and ground vehicles based on load balancing region partitioning was proposed, where unmanned aerial vehicles (UAVs) acting as aerial base stations were dispatched to gather data from IoT devices and unmanned ground vehicles (UGVs) acting as mobile battery swap stations were used to compensate for the shortage of UAV’s energy.Aiming at shortening the mission completion time, the optimization task was to minimize the longest mission time among a fleet of UAV-UGVs, which was formulated as a variant of min-max multi-depot vehicle routing problem and solved from the load-balancing perspective.Specifically, the IoT devices were assigned to the UAV-UGVs’ service zones by a load-balancing region partition algorithm, based on which the trajectory planning problem of multiple UAV and UGV was reduced to several independent route planning problems for each UAV-UGV pair.Then, a cooperative trajectory planning strategy was developed to optimize the route in each service zone.Numerical results validate that the proposed algorithm outperforms the compared algorithms in terms of mission completion time and balancing degree.…”
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A Spiny Orb Weaver Spider, Gasteracantha cancriformis (Linnaeus) (Arachnida: Araneae: Araneidae) by Glavis B. Edwards, Jr.

“…This document is EENY-167 (originally published as DPI Entomology Circular 308), 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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Evolutionary Network Games: Equilibria from Imitation and Best Response Dynamics by Giulio Cimini

“…However, for coordination games, we reveal an important difference: on infinitely large scale-free networks, cooperative equilibria arise for any value of the incentive to cooperate. …”
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Using CVIS to Improve Bus Schedule Adherence: A Predictive Control Strategy and Its Hardware-in-the-Loop Field Tests by Wei Yin, Jing Teng, Xiaoguang Yang, H. Michael Zhang

“…The strategy relies on real-time location and speed information of buses provided by cooperative vehicle infrastructure system (CVIS) and uses key-time nodes calculated by back-stepping of planned arrival times to dynamically update signal timing plans to keep the bus running on time. …”
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Apple Maggot, Apple Maggot Fly, Rhagoletis pomonella (Walsh) (Insecta: Diptera: Tephritidae) by Howard V. Weems, Jr., Thomas R. Fasulo

“…This document is EENY-261 (originally published as DPI Entomology Circular 126), 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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Beyond Colonial Legacies: (Re)Conceptualising Rural Development Through the RDGI in South Africa by Kgomotso Jackson Phillip Sebola-Samanyanga

“…Observing resistance from traditional authorities towards what they deem as exclusive and restrictive planning instruments, this study interrogates the intricate power dynamics between traditional leadership structures and imposed local government entities in rural development, planning, and governance processes to propose a cooperative governance framework within the South African context. …”
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Guidance for Processing Reduced Oxygen Packaged (ROP) of Raw, Frozen Seafood in Retail Operations by Keith R. Schneider, Victor Garrido, W. Steve Otwell, Ray Mobley

“…This document is FSHN05-04, one of a series of the Food Science and Human Nutrition Department, Florida Cooperative Extension Service, IFAS, University of Florida, Gainesville, FL 32611. …”
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Forest Tent Caterpillar, Malacosoma disstria Hübner (Insecta: Lepidoptera: Lasiocampidae) by James R. Meeker

“…This document is EENY-184 (originally published as DPI Entomology Circular 385), 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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Exploring Coinvestment Partner Selection Strategies Using Exponential Random Graph Models by Jie Ren

“…This research analyzes cooperative relationships using exponential random graph models, considering both structural effects and node attributes. …”
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Research on technological innovation decision-making considering government subsidies and corporate reputation. by Yu Kang, Zhe Huang

“…First, the innovation decisions of pharmaceutical firms without government subsidies are analysed, and based on this, the optimal strategies with government subsidies for non-cooperative pacts and cooperation between the government and enterprises are analysed separately. …”
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Figuring Out Fertilizer for the Home Lawn by Laurie E. Trenholm, Joseph B. Unruh

“…This document is ENH962, one of a series of the Environmental Horticulture Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. …”
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Queensland Fruit Fly, Bactrocera tryoni (Froggatt) (Insecta: Diptera: Tephritidae) by Howard V. Weems, Jr., Thomas R. Fasulo

“…This document is EENY-259 (originally published as DPI Entomology Circular 34), 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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Islamic Financing Policy Scenario in the Agricultural Sector: Interpretative Structural Model Approach by Muhammad Yasir Yusuf, Hafiizh Maulana

“…Second, strengthening farmers' access to Islamic financial institutions and adjusting Sharia financial contracts in farming capital at the central and regional levels. Third, Islamic Cooperative microfinance institutions and financial arrangements for Islamic financing in the agricultural sector. …”
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Broiler Management - The First 24 Hours by Gary D. Butcher, Amir H. Nilipour

“…This document is VM124, one of a series of the Veterinary Medicine-Large Animal Clinical Sciences Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. …”
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A broadcast scheme for vehicle-to-pedestrian safety message dissemination by Odongo Steven Eyobu, Jhihoon Joo, Dong Seog Han

“…Ensuring cooperative awareness by periodic message beaconing in vehicular environments is necessary to address pedestrian safety. …”
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Spectrum allocation algorithm based on multi-agent reinforcement learning in smart grid by Feng YAN, Xiaowei LIN, Zhenghao LI, Xia XU, Weiwei XIA, Lianfeng SHEN

“…In view of the fact that 5G networks are used to meet the service requirements of various power terminals in smart grid, a spectrum allocation algorithm based on multi-agent reinforcement learning was proposed.Firstly, for the integrated access backhaul system deployed in smart grid, considering the different communication requirements of services in lightweight and non-lightweight terminal, the spectrum allocation problem was formulated as a non-convex mixed-integer programming aiming to maximize the overall energy efficiency.Secondly, the above problem was modeled as a partially observable Markov decision process and transformed into a fully cooperative multi-agent problem, then a spectrum allocation algorithm was proposed which was based on multi-agent proximal policy optimization under the framework of centralized training and distributed execution.Finally, the performance of the proposed algorithm was verified by simulation.The results show that the proposed algorithm has a faster convergence speed and can increase the overall transmission rate by 25.2% through effectively reducing intra-layer and inter-layer interference and balancing the access and backhaul link rates.…”
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