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Complex Regional Pain Syndrome: Outpatient Pain Management in the Chronic Setting: A Case Report
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作者 Julie Chege Ngugi Kinyungu 《Open Journal of Anesthesiology》 2024年第5期137-144,共8页
Background: Complex Regional Pain Syndrome (CRPS), previously known as reflex sympathetic dystrophy and causalgia, is a neuropathic pain condition that usually develops after an injury to an extremity. CRPS can be a d... Background: Complex Regional Pain Syndrome (CRPS), previously known as reflex sympathetic dystrophy and causalgia, is a neuropathic pain condition that usually develops after an injury to an extremity. CRPS can be a debilitating condition with high levels of pain and reduced function. Aim: This case report aims to discuss the multimodal approach in the management of a patient who presented with ongoing poorly controlled pain secondary to CRPS from an injury that happened years prior. Case Presentation: A 45-year-old female was involved in a motor vehicle accident where her right leg was injured. She underwent several surgeries and developed CRPS that significantly reduced her mobility and quality of life. She presented to the pain clinic years after her initial injury and a multimodal regimen was started for her resulting in significantly improved function. Conclusion: CRPS can be a severely debilitating condition. While early diagnosis and management are important, ongoing management in the outpatient chronic pain setting is important in maintaining a good level of function. 展开更多
关键词 Chronic Regional Pain Syndrome (CRPS) multimodal management Chronic Pain SEQUELAE
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Joint slot allocation and dynamic pricing of container sea-rail multimodal transportation 被引量:4
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作者 Di Liu Hualong Yang 《Journal of Traffic and Transportation Engineering(English Edition)》 2015年第3期198-208,共11页
The container sea-rail multimodal transport system faces complex challenges with de- mand uncertainties for joint slot allocation and dynamic pricing. The challenge is formulated as a two-stage optimal model based on ... The container sea-rail multimodal transport system faces complex challenges with de- mand uncertainties for joint slot allocation and dynamic pricing. The challenge is formulated as a two-stage optimal model based on revenue management (RM) as actual slots sale of multi-node container sea-rail multimodal transport usually includes contract sale to large shippers and free sale to scattered shippers. First stage in the model utilizes an origin-destination control approach, formulated as a stochastic integer programming equation, to settle long-term slot allocation in the contract market and empty container allocation. Second stage in the model is formulated as a stochastic nonlinear programming equation to solve a multiproduct joint dynamic pricing and inventory control problem for price settling and slot allocation in each period of free market. Considering the random nature of demand, the methods of chance constrained programming and robust optimi- zation are utilized to transform stochastic models into deterministic models. A numerical experiment is presented to verify the availability of models and solving methods. Results of considering uncertain/certain demand are compared, which show that the two-stage optimal strategy integrating slot allocation with dynamic pricing considering random de- mand is revealed to increase the revenue for multimodal transport operators (MTO) while concurrently satisfying shippers' demand. Research resulting from this paper will contribute to the theory and practice of container sea-rail multimodal transport revenue management and provide a scientific decision-making tool for MTO. 展开更多
关键词 Container transportation Sea-rail multimodal transport Dynamic pricing Slot allocation Revenue management
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