BACKGROUND We have previously demonstrated that the first wave of the coronavirus disease 2019(COVID-19)pandemic caused exacerbations in ulcerative colitis(UC)patients,probably through psychological and physical stres...BACKGROUND We have previously demonstrated that the first wave of the coronavirus disease 2019(COVID-19)pandemic caused exacerbations in ulcerative colitis(UC)patients,probably through psychological and physical stress.However,successive waves of the COVID-19 pandemic continuously followed the first.The effects of this chronic stress on the disease condition in UC patients are of interest.AIM To clarify the effect of chronic stress from COVID-19 on disease condition in patients aggravated after the first wave.METHODS Our previous study investigated 289 consecutive UC outpatients treated in one center during March and April 2020,the period of the first wave of the COVID-19 pandemic.In this study,an identical group of 289 UC patients was evaluated using UC-disease activity index(UC-DAI),endoscopic mucosal appearance score,and Matts pathological grade scoring.RESULTS Of the 289 UC patients included in the study in 2020,10 patients dropped out as of 2021 and another 11 patients dropped out as of 2022,making three groups for 2020,2021 and 2022.No significant differences in characteristics were found among the three groups.UC-DAI scores had aggravated during the period of the first wave of the COVID-19 pandemic,but significantly recovered in 2021 and remained stable in 2022.Matts grade scores significantly recovered in 2021 from those in 2020 and remained stable in 2022.CONCLUSION Disease activity of UC patients recovered in 2021 and remained stable in 2022,aggravated by the stress of the first wave of COVID-19 in 2020 despite persistence of the pandemic.展开更多
To solve inefficient water stress classification of spinach seedlings under complex background,this study proposed an automatic classification method for the water stress level of spinach seedlings based on the N-Mobi...To solve inefficient water stress classification of spinach seedlings under complex background,this study proposed an automatic classification method for the water stress level of spinach seedlings based on the N-MobileNetXt(NCAM+MobileNetXt)network.Firstly,this study recon-structed the Sandglass Block to effectively increase the model accuracy;secondly,this study introduced the group convolution module and a two-dimensional adaptive average pool,which can significantly compress the model parameters and enhance the model robustness separately;finally,this study innovatively proposed the Normalization-based Channel Attention Module(NCAM)to enhance the image features obviously.The experimental results showed that the classification accuracy of N-MobileNetXt model for spinach seedlings under the natural environment reached 90.35%,and the number of parameters was decreased by 66%compared with the original MobileNetXt model.The N-MobileNetXt model was superior to other net-work models such as ShuffleNet and GhostNet in terms of parameters and accuracy of identification.It can provide a theoretical basis and technical support for automatic irrigation.展开更多
本研究利用70号道路石油沥青和SBS改性沥青,将温拌剂(Sasobit)、氢氧化铝(ATH)和有机蒙脱土(OMMT)与沥青复配,制备成三种不同阻燃剂掺量(质量分数)的温拌阻燃沥青,采用多应力蠕变恢复(MSCR)试验开展对温拌阻燃沥青高温性能的评价。分别...本研究利用70号道路石油沥青和SBS改性沥青,将温拌剂(Sasobit)、氢氧化铝(ATH)和有机蒙脱土(OMMT)与沥青复配,制备成三种不同阻燃剂掺量(质量分数)的温拌阻燃沥青,采用多应力蠕变恢复(MSCR)试验开展对温拌阻燃沥青高温性能的评价。分别对温拌阻燃沥青在60℃下的应变变化、蠕变恢复率(R)、不可恢复蠕变柔量(J_(nr))及其相应应力敏感性指标(R_(diff)、J_(nrdiff))进行分析,并依据AASHTO M 332-20标准对不同阻燃剂掺量的温拌阻燃沥青进行交通分级。结果表明:随着阻燃剂掺量的提高,两种类型沥青的应变值减小,J_(nr)值呈减小趋势,R值呈增大趋势;阻燃剂掺量较低时,提高其掺量对沥青结合料的高温性能改善效果更加明显;温拌阻燃沥青(道路石油沥青)的J_(nr3.2)值不满足AASHTO标准中“≤4.5”的要求。温拌阻燃沥青的J_(nrdiff)值均能满足AASHTO标准中“≤75%”的要求。温拌阻燃沥青(道路石油沥青)未达到标准交通要求而无法分级,温拌阻燃沥青(SBS改性沥青)在4%阻燃剂掺量下达到特重交通的标准,在8%、12%掺量下达到极重交通的标准,因此温拌阻燃沥青(SBS改性沥青)的高温性能更好。基于对温拌阻燃沥青蠕变力学指标、高温交通分级和经济性的综合考虑,推荐复配阻燃剂(ATH、OMMT的质量比为3∶1)的最佳掺量为8%。展开更多
文摘BACKGROUND We have previously demonstrated that the first wave of the coronavirus disease 2019(COVID-19)pandemic caused exacerbations in ulcerative colitis(UC)patients,probably through psychological and physical stress.However,successive waves of the COVID-19 pandemic continuously followed the first.The effects of this chronic stress on the disease condition in UC patients are of interest.AIM To clarify the effect of chronic stress from COVID-19 on disease condition in patients aggravated after the first wave.METHODS Our previous study investigated 289 consecutive UC outpatients treated in one center during March and April 2020,the period of the first wave of the COVID-19 pandemic.In this study,an identical group of 289 UC patients was evaluated using UC-disease activity index(UC-DAI),endoscopic mucosal appearance score,and Matts pathological grade scoring.RESULTS Of the 289 UC patients included in the study in 2020,10 patients dropped out as of 2021 and another 11 patients dropped out as of 2022,making three groups for 2020,2021 and 2022.No significant differences in characteristics were found among the three groups.UC-DAI scores had aggravated during the period of the first wave of the COVID-19 pandemic,but significantly recovered in 2021 and remained stable in 2022.Matts grade scores significantly recovered in 2021 from those in 2020 and remained stable in 2022.CONCLUSION Disease activity of UC patients recovered in 2021 and remained stable in 2022,aggravated by the stress of the first wave of COVID-19 in 2020 despite persistence of the pandemic.
基金supported in part by the Science and Technology Development Plan Project of Changchun[Grant Number 21ZGN28]the Jilin Provincial Science and Technology Development Plan Project[Grant Number 20210101157JC]the Jilin Provincial Science and Technology Development Plan Project[Grant Number 20230202035NC].
文摘To solve inefficient water stress classification of spinach seedlings under complex background,this study proposed an automatic classification method for the water stress level of spinach seedlings based on the N-MobileNetXt(NCAM+MobileNetXt)network.Firstly,this study recon-structed the Sandglass Block to effectively increase the model accuracy;secondly,this study introduced the group convolution module and a two-dimensional adaptive average pool,which can significantly compress the model parameters and enhance the model robustness separately;finally,this study innovatively proposed the Normalization-based Channel Attention Module(NCAM)to enhance the image features obviously.The experimental results showed that the classification accuracy of N-MobileNetXt model for spinach seedlings under the natural environment reached 90.35%,and the number of parameters was decreased by 66%compared with the original MobileNetXt model.The N-MobileNetXt model was superior to other net-work models such as ShuffleNet and GhostNet in terms of parameters and accuracy of identification.It can provide a theoretical basis and technical support for automatic irrigation.
文摘本研究利用70号道路石油沥青和SBS改性沥青,将温拌剂(Sasobit)、氢氧化铝(ATH)和有机蒙脱土(OMMT)与沥青复配,制备成三种不同阻燃剂掺量(质量分数)的温拌阻燃沥青,采用多应力蠕变恢复(MSCR)试验开展对温拌阻燃沥青高温性能的评价。分别对温拌阻燃沥青在60℃下的应变变化、蠕变恢复率(R)、不可恢复蠕变柔量(J_(nr))及其相应应力敏感性指标(R_(diff)、J_(nrdiff))进行分析,并依据AASHTO M 332-20标准对不同阻燃剂掺量的温拌阻燃沥青进行交通分级。结果表明:随着阻燃剂掺量的提高,两种类型沥青的应变值减小,J_(nr)值呈减小趋势,R值呈增大趋势;阻燃剂掺量较低时,提高其掺量对沥青结合料的高温性能改善效果更加明显;温拌阻燃沥青(道路石油沥青)的J_(nr3.2)值不满足AASHTO标准中“≤4.5”的要求。温拌阻燃沥青的J_(nrdiff)值均能满足AASHTO标准中“≤75%”的要求。温拌阻燃沥青(道路石油沥青)未达到标准交通要求而无法分级,温拌阻燃沥青(SBS改性沥青)在4%阻燃剂掺量下达到特重交通的标准,在8%、12%掺量下达到极重交通的标准,因此温拌阻燃沥青(SBS改性沥青)的高温性能更好。基于对温拌阻燃沥青蠕变力学指标、高温交通分级和经济性的综合考虑,推荐复配阻燃剂(ATH、OMMT的质量比为3∶1)的最佳掺量为8%。
