Objective:This study aims to determine the knowledge and attitudes of nurses concerning climate change and their role in addressing health-related impacts of climate change in Central China.Method:The cross-sectional ...Objective:This study aims to determine the knowledge and attitudes of nurses concerning climate change and their role in addressing health-related impacts of climate change in Central China.Method:The cross-sectional study was conducted in 2014.The study randomly selected nurses from hospitals in Central of China and they were asked to complete a questionnaire about climate change Descriptive statistical analysis was used to analyze the data.Results:Majority of nurses(76%)knew about the climate change would affect public health.But more than half of the nurses did not know their work could also affect the development of climate change;83e96%of the nurses thought it were necessary and would like to learn the knowledge about climate change.Conclusion:The education program about this issue in Chinese colleges or universities is still very weak nursing courses and needs to be emphasized in the future.展开更多
The successive approximation register(SAR)is one of the most energy-efficient analog-to-digital converter(ADC)architecture for medium-resolution applications.However,its high energy efficiency quickly diminishes when ...The successive approximation register(SAR)is one of the most energy-efficient analog-to-digital converter(ADC)architecture for medium-resolution applications.However,its high energy efficiency quickly diminishes when the target resolution increases.This is because a SAR ADC suffers from several major error source,including the sampling kT/C noise,the comparator noise,and the DAC mismatch.These errors are increasing hard to address in high-resolution SAR ADCs.This paper reviews recent advances on error suppression techniques for SAR ADCs,including the sampling kT/C noise reduction,the noise-shaping(NS)SAR,and the mismatch error shaping(MES).These techniques aim to boost the resolution of SAR ADCs while maintaining their superior energy efficiency.展开更多
基金This work was supported by the Wuhan Middle-age and Young Talent Foundation and the Natural Science Foundation of Hubei Province of China(No.304132169).
文摘Objective:This study aims to determine the knowledge and attitudes of nurses concerning climate change and their role in addressing health-related impacts of climate change in Central China.Method:The cross-sectional study was conducted in 2014.The study randomly selected nurses from hospitals in Central of China and they were asked to complete a questionnaire about climate change Descriptive statistical analysis was used to analyze the data.Results:Majority of nurses(76%)knew about the climate change would affect public health.But more than half of the nurses did not know their work could also affect the development of climate change;83e96%of the nurses thought it were necessary and would like to learn the knowledge about climate change.Conclusion:The education program about this issue in Chinese colleges or universities is still very weak nursing courses and needs to be emphasized in the future.
基金supported by National Natural Science Foundation of China(No.61904094,No.61934009)China Postdoctoral Science Foundation(No.2020M670329)Beijing Innovation Center for Future Chips(ICFC).
文摘The successive approximation register(SAR)is one of the most energy-efficient analog-to-digital converter(ADC)architecture for medium-resolution applications.However,its high energy efficiency quickly diminishes when the target resolution increases.This is because a SAR ADC suffers from several major error source,including the sampling kT/C noise,the comparator noise,and the DAC mismatch.These errors are increasing hard to address in high-resolution SAR ADCs.This paper reviews recent advances on error suppression techniques for SAR ADCs,including the sampling kT/C noise reduction,the noise-shaping(NS)SAR,and the mismatch error shaping(MES).These techniques aim to boost the resolution of SAR ADCs while maintaining their superior energy efficiency.
