Thermal comfort of occupants is key feedback information for improving indoor environment and managing building energy use.Through analyzing inertial measurement units(IMU)data from wearable devices with ma-chine lear...Thermal comfort of occupants is key feedback information for improving indoor environment and managing building energy use.Through analyzing inertial measurement units(IMU)data from wearable devices with ma-chine learning,thermal comfort of occupants can be detected in a non-intrusive method.This paper proposed a dataset consisted of IMU data collected from 30 participants(14 males and 16 females,aged 23.23±1.70 years,height 168.67±8.02 cm,and weight 59.55±10.96 kg)who wore two IMUs on their hands while performing 30 thermal comfort activities(10 cold-related,10 hot-related,and 10 neutral activities)according to their personal habits.The database is divided into two parts:(1)Single activities data,which includes 4500 samples acquired from experiments where each participant was asked to perform 30 thermal comfort activities individually.(2)Continuous multi-activity data,which comprise 360 samples collected while participants performed a series of randomly assigned activities in a more natural and continuous manner.The combination of these two parts provides a comprehensive dataset for both the training and testing phases of machine learning models.By offering detailed labels,this database aims to serve as a foundation for research exploring machine learning applications in detecting occupant thermal comfort,ultimately contributing to improved indoor environments and more efficient building energy management.展开更多
Aim:To determine the tolerance and acceptance of hepatic venous pressure gradient(HVPG)measurements in patients with liver cirrhosis.Methods:This prospective international multicenter study included 271 patients with ...Aim:To determine the tolerance and acceptance of hepatic venous pressure gradient(HVPG)measurements in patients with liver cirrhosis.Methods:This prospective international multicenter study included 271 patients with cirrhosis who were scheduled to undergo HVPG measurement between October 2019 and June 2020.Data related to the tolerance and acceptance of HVPG measurements were collected using descriptive questionnaires.Results:HVPG measurements were technically successful in all 271 patients,with 141(52.0%)undergoing HVPG measurement alone.The complication rate was 0.4%.Postoperative pain was significantly lower than preoperative expected pain(p<0.001)and intraoperative pain(p<0.001),and intraoperative pain was also significantly lower than preoperative expected pain(p=0.036).No,mild,moderate,severe,and intolerable discomfort scores were reported by 36.9%,44.6%,11.1%,6.3%,and 0.4%of these patients,respectively,during HVPG measurement and by 54.6%32.5%,11.4%,1.5%,and 0%,respectively,after HVPG measurement.Of these patients,39.5%had little understanding and 10%had no understanding of the value of HVPG measurement,with 35.1%and 4.1%regarding HVPG measurements as being of little or no help,respectively.Most patients reported that they would definitely(15.5%),probably(46.9%),or possibly(29.9%)choose to undergo additional HVPG measurements again,and 62.7%regarded the cost of the procedure as acceptable.Conclusion:HVPG measurement was safe and well‐tolerated in patients with cirrhosis,but patient education and communication are warranted to improve the acceptance of this procedure.展开更多
基金the support of this research by the National Natural Science Foundation of China(No.52278117)the Philosophical and Social Science Program of Guangdong Province,China(GD22XGL20)the Shenzhen Science and Technology Pro-gram(Nos.20220531101800001 and 20220810160221001).
文摘Thermal comfort of occupants is key feedback information for improving indoor environment and managing building energy use.Through analyzing inertial measurement units(IMU)data from wearable devices with ma-chine learning,thermal comfort of occupants can be detected in a non-intrusive method.This paper proposed a dataset consisted of IMU data collected from 30 participants(14 males and 16 females,aged 23.23±1.70 years,height 168.67±8.02 cm,and weight 59.55±10.96 kg)who wore two IMUs on their hands while performing 30 thermal comfort activities(10 cold-related,10 hot-related,and 10 neutral activities)according to their personal habits.The database is divided into two parts:(1)Single activities data,which includes 4500 samples acquired from experiments where each participant was asked to perform 30 thermal comfort activities individually.(2)Continuous multi-activity data,which comprise 360 samples collected while participants performed a series of randomly assigned activities in a more natural and continuous manner.The combination of these two parts provides a comprehensive dataset for both the training and testing phases of machine learning models.By offering detailed labels,this database aims to serve as a foundation for research exploring machine learning applications in detecting occupant thermal comfort,ultimately contributing to improved indoor environments and more efficient building energy management.
基金Gansu Science Fund for Distinguished Young Scholars,Grant/Award Number:20JR10RA713Guangxi Digestive Disease Clinical Medical Research Center Construction Project,Grant/Award Number:AD17129027+7 种基金Tianjin Science and Technology Plan Project,Grant/Award Number:19ZXDBSY00030The Xingtai City Science and Technology Project,Grant/Award Number:2020ZZ026Zhejiang Provincial Natural Science Foundation of China,Grant/Award Number:LZ18H180001The Hebei Provincial Health and Family Planning Commission Scientific Research Fund Project,Grant/Award Number:20181612Wenzhou Municipal Science and Technology Bureau,Grant/Award Number:Y2020013National Natural Science Foundation of China,Grant/Award Numbers:81860654,81971713The Hebei Provincial Key R&D Program Project,Grant/Award Number:18277717DNatural Science Foundation of Science and Technology Department of Tibet Autonomous Region,Grant/Award Number:XZ2017ZRG‐91。
文摘Aim:To determine the tolerance and acceptance of hepatic venous pressure gradient(HVPG)measurements in patients with liver cirrhosis.Methods:This prospective international multicenter study included 271 patients with cirrhosis who were scheduled to undergo HVPG measurement between October 2019 and June 2020.Data related to the tolerance and acceptance of HVPG measurements were collected using descriptive questionnaires.Results:HVPG measurements were technically successful in all 271 patients,with 141(52.0%)undergoing HVPG measurement alone.The complication rate was 0.4%.Postoperative pain was significantly lower than preoperative expected pain(p<0.001)and intraoperative pain(p<0.001),and intraoperative pain was also significantly lower than preoperative expected pain(p=0.036).No,mild,moderate,severe,and intolerable discomfort scores were reported by 36.9%,44.6%,11.1%,6.3%,and 0.4%of these patients,respectively,during HVPG measurement and by 54.6%32.5%,11.4%,1.5%,and 0%,respectively,after HVPG measurement.Of these patients,39.5%had little understanding and 10%had no understanding of the value of HVPG measurement,with 35.1%and 4.1%regarding HVPG measurements as being of little or no help,respectively.Most patients reported that they would definitely(15.5%),probably(46.9%),or possibly(29.9%)choose to undergo additional HVPG measurements again,and 62.7%regarded the cost of the procedure as acceptable.Conclusion:HVPG measurement was safe and well‐tolerated in patients with cirrhosis,but patient education and communication are warranted to improve the acceptance of this procedure.
