目的探讨基于微信小程序指导下的低危人群肠道准备的效果。方法纳入肠道准备常见影响因素,构建问答表,研发微信小程序,通过简易手机端操作,快速准确识别肠道准备低危人群,选取2021年6—12月在联勤保障部队第九八八医院消化内镜中心接受...目的探讨基于微信小程序指导下的低危人群肠道准备的效果。方法纳入肠道准备常见影响因素,构建问答表,研发微信小程序,通过简易手机端操作,快速准确识别肠道准备低危人群,选取2021年6—12月在联勤保障部队第九八八医院消化内镜中心接受无痛电子结肠镜检查的患者1360例,微信小程序识别出低危人群(417例),纳入试验组予以2 L复方聚乙二醇电解质散(PEG-ELS)低剂量方案,其他人群(943例),纳入对照组予以3 L PEG-ELS常规方案。所有患者肠道准备效果均使用Boston肠道准备评分量表(BBPS)予以评价,并记录息肉检出率、插镜成功率、达盲时间等其他结果,同时记录服用PEG-ELS后的不良反应和再次检查意愿,观察比较两组患者的肠道准备结果及受试者情况。结果两组患者的BBPS总分、各节段得分、息肉检出率、插镜成功率、达盲时间比较,差异无统计学意义(P>0.05),但试验组患者的不良反应总发生率低于对照组,再次检查意愿高于对照组,差异有统计学意义(P<0.05)。结论应用微信小程序可快速准确识别肠道准备低危人群,采用2 L PEG-ELS方案具有较少的不良反应与较好的患者耐受性,与常规方案肠道准备质量相当。展开更多
Spodoptera frugiperda(Lepidoptera:Noctuidae)is an important migratory agricultural pest worldwide,which has invaded many countries in the Old World since 2016 and now poses a serious threat to world food security.The ...Spodoptera frugiperda(Lepidoptera:Noctuidae)is an important migratory agricultural pest worldwide,which has invaded many countries in the Old World since 2016 and now poses a serious threat to world food security.The present monitoring and early warning strategies for the fall army worm(FAW)mainly focus on adult population density,but lack an information technology platform for precisely forecasting the reproductive dynamics of the adults.In this study,to identify the developmental status of the adults,we first utilized female ovarian images to extract and screen five features combined with the support vector machine(SVM)classifier and employed male testes images to obtain the testis circular features.Then,we established models for the relationship between oviposition dynamics and the developmental time of adult reproductive organs using laboratory tests.The results show that the accuracy of female ovary development stage determination reached 91%.The mean standard error(MSE)between the actual and predicted values of the ovarian developmental time was 0.2431,and the mean error rate between the actual and predicted values of the daily oviposition quantity was 12.38%.The error rate for the recognition of testis diameter was 3.25%,and the predicted and actual values of the testis developmental time in males had an MSE of 0.7734.A WeChat applet for identifying the reproductive developmental state and predicting reproduction of S.frugiperda was developed by integrating the above research results,and it is now available for use by anyone involved in plant protection.This study developed an automated method for accurately forecasting the reproductive dynamics of S.frugiperda populations,which can be helpful for the construction of a population monitoring and early warning system for use by both professional experts and local people at the county level.展开更多
文摘目的探讨基于微信小程序指导下的低危人群肠道准备的效果。方法纳入肠道准备常见影响因素,构建问答表,研发微信小程序,通过简易手机端操作,快速准确识别肠道准备低危人群,选取2021年6—12月在联勤保障部队第九八八医院消化内镜中心接受无痛电子结肠镜检查的患者1360例,微信小程序识别出低危人群(417例),纳入试验组予以2 L复方聚乙二醇电解质散(PEG-ELS)低剂量方案,其他人群(943例),纳入对照组予以3 L PEG-ELS常规方案。所有患者肠道准备效果均使用Boston肠道准备评分量表(BBPS)予以评价,并记录息肉检出率、插镜成功率、达盲时间等其他结果,同时记录服用PEG-ELS后的不良反应和再次检查意愿,观察比较两组患者的肠道准备结果及受试者情况。结果两组患者的BBPS总分、各节段得分、息肉检出率、插镜成功率、达盲时间比较,差异无统计学意义(P>0.05),但试验组患者的不良反应总发生率低于对照组,再次检查意愿高于对照组,差异有统计学意义(P<0.05)。结论应用微信小程序可快速准确识别肠道准备低危人群,采用2 L PEG-ELS方案具有较少的不良反应与较好的患者耐受性,与常规方案肠道准备质量相当。
基金supported by the National Natural Science Foundation of China(31727901)the National Key R&D Program of China(2021YFD1400702)the Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences.
文摘Spodoptera frugiperda(Lepidoptera:Noctuidae)is an important migratory agricultural pest worldwide,which has invaded many countries in the Old World since 2016 and now poses a serious threat to world food security.The present monitoring and early warning strategies for the fall army worm(FAW)mainly focus on adult population density,but lack an information technology platform for precisely forecasting the reproductive dynamics of the adults.In this study,to identify the developmental status of the adults,we first utilized female ovarian images to extract and screen five features combined with the support vector machine(SVM)classifier and employed male testes images to obtain the testis circular features.Then,we established models for the relationship between oviposition dynamics and the developmental time of adult reproductive organs using laboratory tests.The results show that the accuracy of female ovary development stage determination reached 91%.The mean standard error(MSE)between the actual and predicted values of the ovarian developmental time was 0.2431,and the mean error rate between the actual and predicted values of the daily oviposition quantity was 12.38%.The error rate for the recognition of testis diameter was 3.25%,and the predicted and actual values of the testis developmental time in males had an MSE of 0.7734.A WeChat applet for identifying the reproductive developmental state and predicting reproduction of S.frugiperda was developed by integrating the above research results,and it is now available for use by anyone involved in plant protection.This study developed an automated method for accurately forecasting the reproductive dynamics of S.frugiperda populations,which can be helpful for the construction of a population monitoring and early warning system for use by both professional experts and local people at the county level.
