BACKGROUND Cervical dystonia(CD)is a type of muscle tone disorder that usually occurs in the neck muscles.Due to the intermittent or continuous involuntary contraction of the neck muscles,the head and neck are twisted...BACKGROUND Cervical dystonia(CD)is a type of muscle tone disorder that usually occurs in the neck muscles.Due to the intermittent or continuous involuntary contraction of the neck muscles,the head and neck are twisted and skewed and some postural abnormalities occur.Long-term abnormal posture or pain can cause negative emotions in patients,which can affect their quality of life.CASE SUMMARY This case report included a 37-year-old woman who was diagnosed with CD associated with anxiety and depression;the accompanying symptoms were head and neck tilt of approximately 90°to the right and mental abnormality.After two courses of acupuncture treatment,the patient’s head and neck can be maintained in a normal position,and the negative emotions can be relieved.CONCLUSION This case indicates that acupuncture can effectively improve CD and the emotional state and quality of life of patients,making it an effective alternative treatment for the condition.展开更多
Mobile Edge Computing(MEC)has been envisioned as a promising distributed computing paradigm where mobile users offload their tasks to edge nodes to decrease the cost of energy and computation.However,most of the exist...Mobile Edge Computing(MEC)has been envisioned as a promising distributed computing paradigm where mobile users offload their tasks to edge nodes to decrease the cost of energy and computation.However,most of the existing studies only consider the congestion of wireless channels as a crucial factor affecting the strategy-making process,while ignoring the impact of offloading among edge nodes.In addition,centralized task offloading strategies result in enormous computation complexity in center nodes.Along this line,we take both the congestion of wireless channels and the offloading among multiple edge nodes into consideration to enrich users'offloading strategies and propose the Parallel User Selection Algorithm(PUS)and Single User Selection Algorithm(SUS)to substantially accelerate the convergence.More practically,we extend the users'offloading strategies to take into account idle devices and cloud services,which considers the potential computing resources at the edge.Furthermore,we construct a potential game in which each user selfishly seeks an optimal strategy to minimize its cost of latency and energy based on acceptable latency,and find the potential function to prove the existence of Nash equilibrium(NE).Additionally,we update PUS to accelerate its convergence and illustrate its performance through the experimental results of three real datasets,and the updated PUS effectively decreases the total cost and reaches Nash equilibrium.展开更多
基金Supported by Anhui Provincial Key R&D Program,No.202304295107020102。
文摘BACKGROUND Cervical dystonia(CD)is a type of muscle tone disorder that usually occurs in the neck muscles.Due to the intermittent or continuous involuntary contraction of the neck muscles,the head and neck are twisted and skewed and some postural abnormalities occur.Long-term abnormal posture or pain can cause negative emotions in patients,which can affect their quality of life.CASE SUMMARY This case report included a 37-year-old woman who was diagnosed with CD associated with anxiety and depression;the accompanying symptoms were head and neck tilt of approximately 90°to the right and mental abnormality.After two courses of acupuncture treatment,the patient’s head and neck can be maintained in a normal position,and the negative emotions can be relieved.CONCLUSION This case indicates that acupuncture can effectively improve CD and the emotional state and quality of life of patients,making it an effective alternative treatment for the condition.
基金This work was supported by the National Natural Science Foundation of China under Grant No.62072209the National Natural Science Foundation of China Youth Fund under Grant No.62002123+2 种基金the Key Research and Development Program of Jilin Province of China under Grant No.20210201082GXthe Scientific and Technological Planning Project of Jilin Province of China under Grant No.JJKH20221010KJthe Development and Reform Commission Project of Jilin Province of China under Grant No.2020C017-2.
文摘Mobile Edge Computing(MEC)has been envisioned as a promising distributed computing paradigm where mobile users offload their tasks to edge nodes to decrease the cost of energy and computation.However,most of the existing studies only consider the congestion of wireless channels as a crucial factor affecting the strategy-making process,while ignoring the impact of offloading among edge nodes.In addition,centralized task offloading strategies result in enormous computation complexity in center nodes.Along this line,we take both the congestion of wireless channels and the offloading among multiple edge nodes into consideration to enrich users'offloading strategies and propose the Parallel User Selection Algorithm(PUS)and Single User Selection Algorithm(SUS)to substantially accelerate the convergence.More practically,we extend the users'offloading strategies to take into account idle devices and cloud services,which considers the potential computing resources at the edge.Furthermore,we construct a potential game in which each user selfishly seeks an optimal strategy to minimize its cost of latency and energy based on acceptable latency,and find the potential function to prove the existence of Nash equilibrium(NE).Additionally,we update PUS to accelerate its convergence and illustrate its performance through the experimental results of three real datasets,and the updated PUS effectively decreases the total cost and reaches Nash equilibrium.
