Objectives Professional identity plays an important role in the long-term development of nurses,and it will change when public health emergency occurs.The objective of this study is to investigate the factors associat...Objectives Professional identity plays an important role in the long-term development of nurses,and it will change when public health emergency occurs.The objective of this study is to investigate the factors associated with the professional identity of nursing undergraduates in the epidemic of COVID-19.Methods A cross-sectional survey design with convenience sampling was used.A total of 3,875 nursing undergraduates were recruited from seven universities across China from March to April 2020.A general information questionnaire was used to collect students’information,and the Professional Identity Questionnaire for Nurse Students was used to survey their professional identity during the early and later stages of the first wave of the COVID-19 epidemic.Results The score of professional identity in the later stage(59.49±12.41)was higher than that in the early stage(56.96±12.61).The stepwise regression indicated that several factors were associated with professional identity,including gender,residential area,major,impact of the epidemic on intention to work after graduation,reasons for choosing nursing major and students’scores of professional identity in early stage.Conclusions Nursing educators can utilize the positive impact of responding to public health emergencies to increase the professional identity of students.Meanwhile,educators should give those students with lower professional identity more targeted education to cultivate their professional identity after the occurrence of public health emergencies.展开更多
[Objecdve] The aim was to observe the puff-by-puff transfer ratios of some flavors in cigarettes. [Method] Based on national stand- ards, the puff-by-puff transfer of tobacco of carbonyl flavors was analyzed. In the m...[Objecdve] The aim was to observe the puff-by-puff transfer ratios of some flavors in cigarettes. [Method] Based on national stand- ards, the puff-by-puff transfer of tobacco of carbonyl flavors was analyzed. In the meantime, by dint of simultaneous distillation and extraction equip- ment coupled to GC and GC/MS, the puff-by-puff transfer ratios to TPM of smoke were expounded and compared. [ Result] The puff-by-puff deliv- ery profiles of NFDPT,nicotine and carbon monoxide increased with increasing puff number. This trend was similar to that of particulate matters. The transfer ratio of flavored tobacco was increasing in general, but partial flavors augmented to the maximum value and then decreased slowly. [ Conclusion] The study provided reference for the application of carbonyl compounds in tobacco.展开更多
Co-cracking is a process where the mixtures of different hydrocarbon feedstocks are cracked in a steam pyrolysis furnace, and widely adopted in chemical industries. In this work, the simulations of the co-cracking of ...Co-cracking is a process where the mixtures of different hydrocarbon feedstocks are cracked in a steam pyrolysis furnace, and widely adopted in chemical industries. In this work, the simulations of the co-cracking of ethane and propane, and LPG and naphtha mixtures have been conducted, and the software packages of COILSIM1 D and Sim CO are used to account for the cracking process in a tube reactor. The effects of the mixing ratio, coil outlet temperature, and pressure on cracking performance have been discussed in detail. The co-cracking of ethane and propane mixture leads to a lower profitability than the cracking of single ethane or single propane. For naphtha, cracking with LPG leads to a higher profitability than single cracking of naphtha, and more LPG can produce a higher profitability.展开更多
The rolling bearing vibration signal is non-stationary and is easily disturbed by background noise,so it is difficult to accurately diagnose bearing faults.A fault diagnosis method of rolling bearing based on the time...The rolling bearing vibration signal is non-stationary and is easily disturbed by background noise,so it is difficult to accurately diagnose bearing faults.A fault diagnosis method of rolling bearing based on the time-frequency threshold denoising synchrosqueezing transform(TDSST)and convolutional neural network(CNN)is proposed.Since the traditional methods of wavelet threshold denoising and wavelet adjacent coefficient denoising are greatly affected by the estimation accuracy of noise variance,a time-frequency denoising method based on the STFT spectral correlation coefficient threshold optimization is adopted,which is combined with a synchrosqueezing transform.The ability of the TDSST to reduce noise and improve time-frequency resolution was verified by simulated impact fault signals of rolling bearings.Finally,the CNN is utilized to diagnose the time-frequency diagrams obtained by the TDSST.The diagnostic results of the rolling bearing experimental data show that the proposed method can effectively improve the accuracy of diagnosis.When the SNR of the bearing signal is larger than 0 dB,the accuracy is over 95%,even when the SNR reduces to-4 dB,the accuracy is still around 80%.Moreover,the standard deviation of multiple test results is small,which means that the method has good robustness.展开更多
基金This work was supported by the General Program of Natural Science Foundation of Beijing Municipality(project no.9212008).
文摘Objectives Professional identity plays an important role in the long-term development of nurses,and it will change when public health emergency occurs.The objective of this study is to investigate the factors associated with the professional identity of nursing undergraduates in the epidemic of COVID-19.Methods A cross-sectional survey design with convenience sampling was used.A total of 3,875 nursing undergraduates were recruited from seven universities across China from March to April 2020.A general information questionnaire was used to collect students’information,and the Professional Identity Questionnaire for Nurse Students was used to survey their professional identity during the early and later stages of the first wave of the COVID-19 epidemic.Results The score of professional identity in the later stage(59.49±12.41)was higher than that in the early stage(56.96±12.61).The stepwise regression indicated that several factors were associated with professional identity,including gender,residential area,major,impact of the epidemic on intention to work after graduation,reasons for choosing nursing major and students’scores of professional identity in early stage.Conclusions Nursing educators can utilize the positive impact of responding to public health emergencies to increase the professional identity of students.Meanwhile,educators should give those students with lower professional identity more targeted education to cultivate their professional identity after the occurrence of public health emergencies.
文摘[Objecdve] The aim was to observe the puff-by-puff transfer ratios of some flavors in cigarettes. [Method] Based on national stand- ards, the puff-by-puff transfer of tobacco of carbonyl flavors was analyzed. In the meantime, by dint of simultaneous distillation and extraction equip- ment coupled to GC and GC/MS, the puff-by-puff transfer ratios to TPM of smoke were expounded and compared. [ Result] The puff-by-puff deliv- ery profiles of NFDPT,nicotine and carbon monoxide increased with increasing puff number. This trend was similar to that of particulate matters. The transfer ratio of flavored tobacco was increasing in general, but partial flavors augmented to the maximum value and then decreased slowly. [ Conclusion] The study provided reference for the application of carbonyl compounds in tobacco.
基金Supported by the National Natural Science Foundation of China(21276078)Shanghai Key Technologies R&D Programe(12dz1125100)+1 种基金Natural Science Foundation of Shanghai(13ZR1411300)Shanghai Leading Academic Discipline Project(B504)
文摘Co-cracking is a process where the mixtures of different hydrocarbon feedstocks are cracked in a steam pyrolysis furnace, and widely adopted in chemical industries. In this work, the simulations of the co-cracking of ethane and propane, and LPG and naphtha mixtures have been conducted, and the software packages of COILSIM1 D and Sim CO are used to account for the cracking process in a tube reactor. The effects of the mixing ratio, coil outlet temperature, and pressure on cracking performance have been discussed in detail. The co-cracking of ethane and propane mixture leads to a lower profitability than the cracking of single ethane or single propane. For naphtha, cracking with LPG leads to a higher profitability than single cracking of naphtha, and more LPG can produce a higher profitability.
文摘The rolling bearing vibration signal is non-stationary and is easily disturbed by background noise,so it is difficult to accurately diagnose bearing faults.A fault diagnosis method of rolling bearing based on the time-frequency threshold denoising synchrosqueezing transform(TDSST)and convolutional neural network(CNN)is proposed.Since the traditional methods of wavelet threshold denoising and wavelet adjacent coefficient denoising are greatly affected by the estimation accuracy of noise variance,a time-frequency denoising method based on the STFT spectral correlation coefficient threshold optimization is adopted,which is combined with a synchrosqueezing transform.The ability of the TDSST to reduce noise and improve time-frequency resolution was verified by simulated impact fault signals of rolling bearings.Finally,the CNN is utilized to diagnose the time-frequency diagrams obtained by the TDSST.The diagnostic results of the rolling bearing experimental data show that the proposed method can effectively improve the accuracy of diagnosis.When the SNR of the bearing signal is larger than 0 dB,the accuracy is over 95%,even when the SNR reduces to-4 dB,the accuracy is still around 80%.Moreover,the standard deviation of multiple test results is small,which means that the method has good robustness.