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A simultaneous occurrence of pulmonary embolism and cerebral infarction following Micra^(TM)leadless pacemaker implantation
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作者 Song-Hua LI shao-hua dong +5 位作者 Tong KAN Sun YUE Bo LI Yang LU Pan LI Zhi-Fu GUO 《Journal of Geriatric Cardiology》 SCIE CAS CSCD 2023年第10期756-759,共4页
Since the successful implantation of the first cardiac pacemaker(PM)in 1958,PM has been widely used in clinical practice.With the advancement of interventional technology,PMs have become smaller and more effective.Des... Since the successful implantation of the first cardiac pacemaker(PM)in 1958,PM has been widely used in clinical practice.With the advancement of interventional technology,PMs have become smaller and more effective.Despite continuous improvements,traditional PMs remain associated with a proportional risk of immediate-and short-term complications(9%–12%),[1]which are mainly related to electrodes or pockets.Short-term complications include pneumothorax,cardiac tamponade. 展开更多
关键词 CARDIAC IMPLANTATION CEREBRAL
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Use of community mobile phone big location data to recognize unusual patterns close to a pipeline which may indicate unauthorized activities and possible risk of damage 被引量:1
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作者 shao-hua dong He-Wei Zhang +2 位作者 Lai-Bin Zhang Li-Jian Zhou Lei Guo 《Petroleum Science》 SCIE CAS CSCD 2017年第2期395-403,共9页
Damage caused by people and organizations unconnected with the pipeline management is a major risk faced by pipelines,and its consequences can have a huge impact.However,the present measures to monitor this have major... Damage caused by people and organizations unconnected with the pipeline management is a major risk faced by pipelines,and its consequences can have a huge impact.However,the present measures to monitor this have major problems such as time delays,overlooking threats,and false alarms.To overcome the disadvantages of these methods,analysis of big location data from mobile phone systems was applied to prevent third-party damage to pipelines,and a third-party damage prevention system was developed for pipelines including encryption mobile phone data,data preprocessing,and extraction of characteristic patterns.By applying this to natural gas pipelines,a large amount of location data was collected for data feature recognition and model analysis.Third-party illegal construction and occupation activities were discovered in a timely manner.This is important for preventing third-party damage to pipelines. 展开更多
关键词 移动电话系统 管道管理 管道损坏 数据识别 风险 异常 地点 社区
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