Salmonellosis represents a global epidemic,and the emergence of extensively drug-resistant(XDR)Salmonella and its sustained transmission worldwide constitutes a significant public health concern.Flagellum-mediated mot...Salmonellosis represents a global epidemic,and the emergence of extensively drug-resistant(XDR)Salmonella and its sustained transmission worldwide constitutes a significant public health concern.Flagellum-mediated motility serves as a crucial virulence trait of Salmonella that guides the pathogen toward the epithelial surface,enhancing gut colonization.Artemisia argyit essential oil,a traditional herb extract,demonstrates efficacy in treating inflammationrelated symptoms and diseases;however,its effects on flagellum assembly and expression mechanisms in anti-Salmonella activity remain inadequately explored.This study aimed to elucidate the mechanism by which Artemisia argyit essential oil addresses Salmonella infections.Network pharmacological analysis revealed that Traditional Chinese Medicine(TCM)Artemisia argyit exhibited anti-Salmonella infection potential and inhibited flagellum-dependent motility.The application of Artemisia argyit essential oil induced notable motility defects through the downregulation of flagellar and fimbriae expression.Moreover,it significantly reduced Salmonella-infected cell damage by interfering with flagellum-mediated Salmonella colonization.In vivo studies demonstrated that Artemisia argyit essential oil administration effectively alleviated Salmonella infection symptoms by reducing bacterial loads,inhibiting interleukin-1 beta(IL-1β),IL-6,and tumor necrosis factor-alpha(TNF-α)production,and diminishing pathological injury.Gas chromatography-mass spectrometry(GC-MS)analysis identified forty-three compounds in Artemisia argyit essential oil,with their corresponding targets and active ingredients predicted.Investigation of an in vivo model of Salmonella infection using the active ingredient demonstrated that alpha-cedrene ameliorated Salmonella infection.These findings suggest the potential application of Artemisia argyit essential oil in controlling Salmonella,the predominant food-borne pathogen.展开更多
Vaccines are considered as one of the most cost-effective interventions to improve the global public health by reducing mortality and morbidity[1].At an ever-increasing pace,new vaccines are being developed and licens...Vaccines are considered as one of the most cost-effective interventions to improve the global public health by reducing mortality and morbidity[1].At an ever-increasing pace,new vaccines are being developed and licensed in China,driven by initiatives from both domestic and international vaccine companies.New vaccines are evaluated by Chinese Advisory Committee on Immunization,which makes decisions regarding the use of vaccines based on the epidemiological context in China.展开更多
Multi-way join is critical for many big data applications such as data mining and knowledge discovery. Even though lots of research have been devoted to processing multi-way joins using MapReduce, there are still seve...Multi-way join is critical for many big data applications such as data mining and knowledge discovery. Even though lots of research have been devoted to processing multi-way joins using MapReduce, there are still several problems in general to be further improved, such as transferring numerous unpromising intermediate data and lacking of better coordination mechanisms. This work proposes an efficient multi-way joins processing model using MapReduce, named Sharing-Coordination-MapReduce (SC-MapReduce), which has the functions of sharing and coordination. Our SC-MapReduce model can filter the unpromising intermediatedata largely by using the sharing mechanism and optimize the multiple tasks coordination of multi-way joins. Extensive experiments show that the proposed model is efficient, robust and scalable.展开更多
Skyline queries are extensively incorporated in various real-life applications by filtering uninteresting data objects.Sometimes,a skyline query may return so many results because it cannot control the retrieval condi...Skyline queries are extensively incorporated in various real-life applications by filtering uninteresting data objects.Sometimes,a skyline query may return so many results because it cannot control the retrieval conditions especially for highdimensional datasets.As an extension of skyline query,the kdominant skyline query reduces the control of the dimension by controlling the value of the parameter k to achieve the purpose of reducing the retrieval objects.In addition,with the continuous promotion of Bigdata applications,the data we acquired may not have the entire content that people wanted for some practically reasons of delivery failure,no power of battery,accidental loss,so that the data might be incomplete with missing values in some attributes.Obviously,the k-dominant skyline query algorithms of incomplete data depend on the user definition in some degree and the results cannot be shared.Meanwhile,the existing algorithms are unsuitable for directly used to the incomplete big data.Based on the above situations,this paper mainly studies k-dominant skyline query problem over incomplete dataset and combines this problem with the distributed structure like MapReduce environment.First,we propose an index structure over incomplete data,named incomplete data index based on dominate hierarchical tree(ID-DHT).Applying the bucket strategy,the incomplete data is divided into different buckets according to the dimensions of missing attributes.Second,we also put forward query algorithm for incomplete data in MapReduce environment,named MapReduce incomplete data based on dominant hierarchical tree algorithm(MR-ID-DHTA).The data in the bucket is allocated to the subspace according to the dominant condition by Map function.Reduce function controls the data according to the key value and returns the k-dominant skyline query result.The effective experiments demonstrate the validity and usability of our index structure and the algorithm.展开更多
基金the National Natural Science Foundation of China(Nos.U22A20523,U23A20242)National Key Research and Development Program of China(No.2021YFD1801000).
文摘Salmonellosis represents a global epidemic,and the emergence of extensively drug-resistant(XDR)Salmonella and its sustained transmission worldwide constitutes a significant public health concern.Flagellum-mediated motility serves as a crucial virulence trait of Salmonella that guides the pathogen toward the epithelial surface,enhancing gut colonization.Artemisia argyit essential oil,a traditional herb extract,demonstrates efficacy in treating inflammationrelated symptoms and diseases;however,its effects on flagellum assembly and expression mechanisms in anti-Salmonella activity remain inadequately explored.This study aimed to elucidate the mechanism by which Artemisia argyit essential oil addresses Salmonella infections.Network pharmacological analysis revealed that Traditional Chinese Medicine(TCM)Artemisia argyit exhibited anti-Salmonella infection potential and inhibited flagellum-dependent motility.The application of Artemisia argyit essential oil induced notable motility defects through the downregulation of flagellar and fimbriae expression.Moreover,it significantly reduced Salmonella-infected cell damage by interfering with flagellum-mediated Salmonella colonization.In vivo studies demonstrated that Artemisia argyit essential oil administration effectively alleviated Salmonella infection symptoms by reducing bacterial loads,inhibiting interleukin-1 beta(IL-1β),IL-6,and tumor necrosis factor-alpha(TNF-α)production,and diminishing pathological injury.Gas chromatography-mass spectrometry(GC-MS)analysis identified forty-three compounds in Artemisia argyit essential oil,with their corresponding targets and active ingredients predicted.Investigation of an in vivo model of Salmonella infection using the active ingredient demonstrated that alpha-cedrene ameliorated Salmonella infection.These findings suggest the potential application of Artemisia argyit essential oil in controlling Salmonella,the predominant food-borne pathogen.
基金funded by medical and health science and technology project of Zhejiang province(Grant number:2023KY633).
文摘Vaccines are considered as one of the most cost-effective interventions to improve the global public health by reducing mortality and morbidity[1].At an ever-increasing pace,new vaccines are being developed and licensed in China,driven by initiatives from both domestic and international vaccine companies.New vaccines are evaluated by Chinese Advisory Committee on Immunization,which makes decisions regarding the use of vaccines based on the epidemiological context in China.
基金This work was supported by the National Natural Science Foundation of China under Grant No.60873068,61472169 the Program for Excellent Talents in Liaoning Province under Grant No.LR201017.
文摘Multi-way join is critical for many big data applications such as data mining and knowledge discovery. Even though lots of research have been devoted to processing multi-way joins using MapReduce, there are still several problems in general to be further improved, such as transferring numerous unpromising intermediate data and lacking of better coordination mechanisms. This work proposes an efficient multi-way joins processing model using MapReduce, named Sharing-Coordination-MapReduce (SC-MapReduce), which has the functions of sharing and coordination. Our SC-MapReduce model can filter the unpromising intermediatedata largely by using the sharing mechanism and optimize the multiple tasks coordination of multi-way joins. Extensive experiments show that the proposed model is efficient, robust and scalable.
基金This work was supported by the National Natural Science Foundation of China(Grant Nos.62072220,61802160,61502215)China Postdoctoral Science Foundation Funded Project(2020M672134)+1 种基金Science Research Fund of Liaoning Province Education Department(LJC201913)Doctor Research Start-up Fund of Liaoning Province(20180540106).
文摘Skyline queries are extensively incorporated in various real-life applications by filtering uninteresting data objects.Sometimes,a skyline query may return so many results because it cannot control the retrieval conditions especially for highdimensional datasets.As an extension of skyline query,the kdominant skyline query reduces the control of the dimension by controlling the value of the parameter k to achieve the purpose of reducing the retrieval objects.In addition,with the continuous promotion of Bigdata applications,the data we acquired may not have the entire content that people wanted for some practically reasons of delivery failure,no power of battery,accidental loss,so that the data might be incomplete with missing values in some attributes.Obviously,the k-dominant skyline query algorithms of incomplete data depend on the user definition in some degree and the results cannot be shared.Meanwhile,the existing algorithms are unsuitable for directly used to the incomplete big data.Based on the above situations,this paper mainly studies k-dominant skyline query problem over incomplete dataset and combines this problem with the distributed structure like MapReduce environment.First,we propose an index structure over incomplete data,named incomplete data index based on dominate hierarchical tree(ID-DHT).Applying the bucket strategy,the incomplete data is divided into different buckets according to the dimensions of missing attributes.Second,we also put forward query algorithm for incomplete data in MapReduce environment,named MapReduce incomplete data based on dominant hierarchical tree algorithm(MR-ID-DHTA).The data in the bucket is allocated to the subspace according to the dominant condition by Map function.Reduce function controls the data according to the key value and returns the k-dominant skyline query result.The effective experiments demonstrate the validity and usability of our index structure and the algorithm.
