What are the origins,historical development,and lineages of the reincarnation system of Living Buddhas in Tibetan Buddhism?What kind of academic framework is"Han-Tibetan Buddhist Studies"?In an interview wit...What are the origins,historical development,and lineages of the reincarnation system of Living Buddhas in Tibetan Buddhism?What kind of academic framework is"Han-Tibetan Buddhist Studies"?In an interview with this journal,Professor Shen Weirong ofTsinghua University discusses these issues on the basis of his research.展开更多
Contactless verification is possible with iris biometric identification,which helps prevent infections like COVID-19 from spreading.Biometric systems have grown unsteady and dangerous as a result of spoofing assaults ...Contactless verification is possible with iris biometric identification,which helps prevent infections like COVID-19 from spreading.Biometric systems have grown unsteady and dangerous as a result of spoofing assaults employing contact lenses,replayed the video,and print attacks.The work demonstrates an iris liveness detection approach by utilizing fragmental coefficients of Haar transformed Iris images as signatures to prevent spoofing attacks for the very first time in the identification of iris liveness.Seven assorted feature creation ways are studied in the presented solutions,and these created features are explored for the training of eight distinct machine learning classifiers and ensembles.The predicted iris liveness identification variants are evaluated using recall,F-measure,precision,accuracy,APCER,BPCER,and ACER.Three standard datasets were used in the investigation.The main contribution of our study is achieving a good accuracy of 99.18%with a smaller feature vector.The fragmental coefficients of Haar transformed iris image of size 8∗8 utilizing random forest algorithm showed superior iris liveness detection with reduced featured vector size(64 features).Random forest gave 99.18%accuracy.Additionally,conduct an extensive experiment on cross datasets for detailed analysis.The results of our experiments showthat the iris biometric template is decreased in size tomake the proposed framework suitable for algorithmic verification in real-time environments and settings.展开更多
Introduction:We analyzed the spatial distribution of years lived with disability(YLDs)among patients with Kashin–Beck disease(KBD)at the county level across the country,identified hotspot regions and the primary area...Introduction:We analyzed the spatial distribution of years lived with disability(YLDs)among patients with Kashin–Beck disease(KBD)at the county level across the country,identified hotspot regions and the primary areas of disease burden.This provides a foundation for the prevention and control of KBD and the rational allocation of healthcare resources to regions with high disease burden.Methods:The data were obtained from the National KBD Surveillance System.Spatial autocorrelation analysis was conducted to assess spatial clustering and to identify hotspots of YLDs in patients with KBD.Geographically weighted regression(GWR)models were used to identify counties with limited economic and healthcare resources and a high burden of health losses.Results:Spatial aggregation of YLDs among patients with KBD was observed nationwide,with hotspots concentrated in diseased counties in western China,including Shaanxi,Gansu,and Sichuan,and in the northern regions of Heilongjiang and Inner Mongolia.Among the variables,the number of health technicians was negatively correlated with the YLD rate of patients with KBD across 2 years(P<0.05).Significant geographical differences were found in the spatial distribution of YLDs,with key disease burden areas in 85 northern counties,including Heilongjiang,Jilin,and Inner Mongolia,and 145 western counties,including Shaanxi,Shanxi,and other provincial-level administrative divisions.Conclusions:YLDs among patients with KBD at the county level in China demonstrated spatial clustering,with hotspots primarily in the western regions.Strengthening the recruitment and training of health professionals in high-burden,underserved areas may help improve the quality of life of patients.展开更多
[ Objective ] The paper is to explore the breeding of rice gall midge. [ Method ] The morphological characteristics, living habits, breeding method and resistance identification of rice gall midge are introduced. [ Re...[ Objective ] The paper is to explore the breeding of rice gall midge. [ Method ] The morphological characteristics, living habits, breeding method and resistance identification of rice gall midge are introduced. [ Result] TN1 can be used as feedstuff to feed rice gall midge, and water should be sprayed to keep moisture during the breeding process. The damage caused by mice, rice planthopper, ants and spiders during the breeding process should be paid attention, mice and ants can be controlled by water insulation method, rice planthopper and spiders can be controlled by tap water rinsing method and artificial capture method, respec- tively. [ Conlcusion] The study provides reference for further study on rice gall midge.展开更多
文摘What are the origins,historical development,and lineages of the reincarnation system of Living Buddhas in Tibetan Buddhism?What kind of academic framework is"Han-Tibetan Buddhist Studies"?In an interview with this journal,Professor Shen Weirong ofTsinghua University discusses these issues on the basis of his research.
基金supported by theResearchers Supporting Project No.RSP-2021/14,King Saud University,Riyadh,Saudi Arabia.
文摘Contactless verification is possible with iris biometric identification,which helps prevent infections like COVID-19 from spreading.Biometric systems have grown unsteady and dangerous as a result of spoofing assaults employing contact lenses,replayed the video,and print attacks.The work demonstrates an iris liveness detection approach by utilizing fragmental coefficients of Haar transformed Iris images as signatures to prevent spoofing attacks for the very first time in the identification of iris liveness.Seven assorted feature creation ways are studied in the presented solutions,and these created features are explored for the training of eight distinct machine learning classifiers and ensembles.The predicted iris liveness identification variants are evaluated using recall,F-measure,precision,accuracy,APCER,BPCER,and ACER.Three standard datasets were used in the investigation.The main contribution of our study is achieving a good accuracy of 99.18%with a smaller feature vector.The fragmental coefficients of Haar transformed iris image of size 8∗8 utilizing random forest algorithm showed superior iris liveness detection with reduced featured vector size(64 features).Random forest gave 99.18%accuracy.Additionally,conduct an extensive experiment on cross datasets for detailed analysis.The results of our experiments showthat the iris biometric template is decreased in size tomake the proposed framework suitable for algorithmic verification in real-time environments and settings.
文摘Introduction:We analyzed the spatial distribution of years lived with disability(YLDs)among patients with Kashin–Beck disease(KBD)at the county level across the country,identified hotspot regions and the primary areas of disease burden.This provides a foundation for the prevention and control of KBD and the rational allocation of healthcare resources to regions with high disease burden.Methods:The data were obtained from the National KBD Surveillance System.Spatial autocorrelation analysis was conducted to assess spatial clustering and to identify hotspots of YLDs in patients with KBD.Geographically weighted regression(GWR)models were used to identify counties with limited economic and healthcare resources and a high burden of health losses.Results:Spatial aggregation of YLDs among patients with KBD was observed nationwide,with hotspots concentrated in diseased counties in western China,including Shaanxi,Gansu,and Sichuan,and in the northern regions of Heilongjiang and Inner Mongolia.Among the variables,the number of health technicians was negatively correlated with the YLD rate of patients with KBD across 2 years(P<0.05).Significant geographical differences were found in the spatial distribution of YLDs,with key disease burden areas in 85 northern counties,including Heilongjiang,Jilin,and Inner Mongolia,and 145 western counties,including Shaanxi,Shanxi,and other provincial-level administrative divisions.Conclusions:YLDs among patients with KBD at the county level in China demonstrated spatial clustering,with hotspots primarily in the western regions.Strengthening the recruitment and training of health professionals in high-burden,underserved areas may help improve the quality of life of patients.
基金Supported by Major Project of Innovation Plan of Guangxi Province ( GKG0228019-5)Guangxi "Ten,Hundred,Thousand" Talent Project( 2003213)~~
文摘[ Objective ] The paper is to explore the breeding of rice gall midge. [ Method ] The morphological characteristics, living habits, breeding method and resistance identification of rice gall midge are introduced. [ Result] TN1 can be used as feedstuff to feed rice gall midge, and water should be sprayed to keep moisture during the breeding process. The damage caused by mice, rice planthopper, ants and spiders during the breeding process should be paid attention, mice and ants can be controlled by water insulation method, rice planthopper and spiders can be controlled by tap water rinsing method and artificial capture method, respec- tively. [ Conlcusion] The study provides reference for further study on rice gall midge.
