To the Editor： Malignant hyperthermia （MH） is a rare but potentially fatal, inherited skeletal muscle disorder that is mostly induced by the ingestion of the depolarizing relaxant, i.e., succinylcholine or volatile...To the Editor： Malignant hyperthermia （MH） is a rare but potentially fatal, inherited skeletal muscle disorder that is mostly induced by the ingestion of the depolarizing relaxant, i.e., succinylcholine or volatile anestheticsY1 Its incidence is reportedly 1/5000 to 1/100,000 in general anesthesia patients, and children seem to be more susceptible than adults.121 According to MH treatment guidelines of the Malignant Hyperthermia Association of the United States （MHAUS） and European Malignant Hyperthermia Group （EMHG）, dantrolene should be administered as soon as possible in suspected case.展开更多
Online monitoring of the curing temperature field is essential to improving the quality and efficiency of the manufacturing process of composite parts.Traditional embedded sensor-based technologies have difficulty mon...Online monitoring of the curing temperature field is essential to improving the quality and efficiency of the manufacturing process of composite parts.Traditional embedded sensor-based technologies have difficulty monitoring the full temperature field or have to introduce heterogeneous items that could have an undesired impact on the part.In this paper,a non-contact,full-field monitoring method based on deep learning that predicts the internal temperature field of composite parts in real time using surface temperature measurements of auxiliary materials is proposed.Using the proposed method,an average temperature monitoring accuracy of 97%is achieved in various heating patterns.In addition,this method also demonstrates satisfying feasibility when a stronger thermal barrier covers the part.This method was experimentally validated during the self-resistance electric heating process,in which the monitoring accuracy reached 93.1%.This method can potentially be applied to automated manufacturing and process control in the composites industry.展开更多
文摘To the Editor： Malignant hyperthermia （MH） is a rare but potentially fatal, inherited skeletal muscle disorder that is mostly induced by the ingestion of the depolarizing relaxant, i.e., succinylcholine or volatile anestheticsY1 Its incidence is reportedly 1/5000 to 1/100,000 in general anesthesia patients, and children seem to be more susceptible than adults.121 According to MH treatment guidelines of the Malignant Hyperthermia Association of the United States （MHAUS） and European Malignant Hyperthermia Group （EMHG）, dantrolene should be administered as soon as possible in suspected case.
基金supported by the Major Program of National Natural Science Foundation of China(Grant No.52090052)General Program of National Natural Science Foundation of China(Grant No.51875288)the authors sincerely appreciate the continuous support provided by their industrial collaborators.
文摘Online monitoring of the curing temperature field is essential to improving the quality and efficiency of the manufacturing process of composite parts.Traditional embedded sensor-based technologies have difficulty monitoring the full temperature field or have to introduce heterogeneous items that could have an undesired impact on the part.In this paper,a non-contact,full-field monitoring method based on deep learning that predicts the internal temperature field of composite parts in real time using surface temperature measurements of auxiliary materials is proposed.Using the proposed method,an average temperature monitoring accuracy of 97%is achieved in various heating patterns.In addition,this method also demonstrates satisfying feasibility when a stronger thermal barrier covers the part.This method was experimentally validated during the self-resistance electric heating process,in which the monitoring accuracy reached 93.1%.This method can potentially be applied to automated manufacturing and process control in the composites industry.
