Raynaud’s phenomenon is a symptom complex manifested as intermittent fingertip ischemia caused by cold or other sympathetic drivers.Secondary Raynaud’s phenomenon is often more severe and could even lead to finger u...Raynaud’s phenomenon is a symptom complex manifested as intermittent fingertip ischemia caused by cold or other sympathetic drivers.Secondary Raynaud’s phenomenon is often more severe and could even lead to finger ulceration,making it particularly complicated to treat.We describe a case of severe Raynaud’s phenomenon secondary to subclinical hypothyroidism lasting for more than 6 hours in a 65-year-old woman.The patient was also diagnosed with hypothyroidism,epilepsy,and secondary soft tissue infection of the right middle and ring fingers.After careful multidisciplinary consultation and discussion,the patient received vasodilation,anticoagulation,thyroxine supplementation,stellate ganglion block,hyperbaric oxygen therapy and debridement.The patient responded well to the medication,avoiding amputation or obviously dysfunction.Multidisciplinary team gathering the doctors from different departments proposes appropriate strategies for patients with severe Raynaud’s phenomenon and could improve the prognosis and satisfaction of patient effectively.展开更多
A sensor graph network is a sensor network model organized according to graph network structure.Structural unit and signal propagation of core nodes are the basic characteristics of sensor graph networks.In sensor net...A sensor graph network is a sensor network model organized according to graph network structure.Structural unit and signal propagation of core nodes are the basic characteristics of sensor graph networks.In sensor networks,network structure recognition is the basis for accurate identification and effective prediction and control of node states.Aiming at the problems of difficult global structure identification and poor interpretability in complex sensor graph networks,based on the characteristics of sensor networks,a method is proposed to firstly unitize the graph network structure and then expand the unit based on the signal transmission path of the core node.This method which builds on unit patulousness and core node signal propagation(called p-law)can rapidly and effectively achieve the global structure identification of a sensor graph network.Different from the traditional graph network structure recognition algorithms such as modularity maximization and spectral clustering,the proposed method reveals the natural evolution process and law of graph network subgroup generation.Experimental results confirm the effectiveness,accuracy and rationality of the proposed method and suggest that our method can be a new approach for graph network global structure recognition.展开更多
文摘Raynaud’s phenomenon is a symptom complex manifested as intermittent fingertip ischemia caused by cold or other sympathetic drivers.Secondary Raynaud’s phenomenon is often more severe and could even lead to finger ulceration,making it particularly complicated to treat.We describe a case of severe Raynaud’s phenomenon secondary to subclinical hypothyroidism lasting for more than 6 hours in a 65-year-old woman.The patient was also diagnosed with hypothyroidism,epilepsy,and secondary soft tissue infection of the right middle and ring fingers.After careful multidisciplinary consultation and discussion,the patient received vasodilation,anticoagulation,thyroxine supplementation,stellate ganglion block,hyperbaric oxygen therapy and debridement.The patient responded well to the medication,avoiding amputation or obviously dysfunction.Multidisciplinary team gathering the doctors from different departments proposes appropriate strategies for patients with severe Raynaud’s phenomenon and could improve the prognosis and satisfaction of patient effectively.
基金This research is supported by the Natural Science Foundation Project of Fujian Provincial Department of Science and Technology(Grant No.2020J01385)Digital Fujian Industrial Energy Big Data Research Institute(Grant No.KB180045)Provincial Key Laboratory of Industrial Big Data Analysis and Application(Grant No.KB180029).
文摘A sensor graph network is a sensor network model organized according to graph network structure.Structural unit and signal propagation of core nodes are the basic characteristics of sensor graph networks.In sensor networks,network structure recognition is the basis for accurate identification and effective prediction and control of node states.Aiming at the problems of difficult global structure identification and poor interpretability in complex sensor graph networks,based on the characteristics of sensor networks,a method is proposed to firstly unitize the graph network structure and then expand the unit based on the signal transmission path of the core node.This method which builds on unit patulousness and core node signal propagation(called p-law)can rapidly and effectively achieve the global structure identification of a sensor graph network.Different from the traditional graph network structure recognition algorithms such as modularity maximization and spectral clustering,the proposed method reveals the natural evolution process and law of graph network subgroup generation.Experimental results confirm the effectiveness,accuracy and rationality of the proposed method and suggest that our method can be a new approach for graph network global structure recognition.
