As a vectorial property,polarization encodes high-dimensional information of light.Polarization-based imaging can characterize detailed structural features of biomedical samples label-freely.However,compared with othe...As a vectorial property,polarization encodes high-dimensional information of light.Polarization-based imaging can characterize detailed structural features of biomedical samples label-freely.However,compared with other fundamental properties of light,such as intensity,wavelength and phase,polarization has a shorter application history in biomedicine,because of the requirement for both advanced polarization optical components and computational approaches,which can be achieved nowadays with the fast theoretical and hardware development.展开更多
Morphology of hydraulic fracture surface has significant effects on oil and gas flow,proppant migration and fracture closure,which plays an important role in oil and gas fracturing stimulation.In this paper,we analyze...Morphology of hydraulic fracture surface has significant effects on oil and gas flow,proppant migration and fracture closure,which plays an important role in oil and gas fracturing stimulation.In this paper,we analyzed the fracture surface characteristics induced by supercritical carbon dioxide(SC-CO_(2))and water in open-hole and perforation completion conditions under triaxial stresses.A simple calculation method was proposed to quantitatively analyze the fracture surface area and roughness in macro-level based on three-dimensional(3D)scanning data.In micro-level,scanning electron micrograph(SEM)was used to analyze the features of fracture surface.The results showed that the surface area of the induced fracture increases with perforation angle for both SC-CO_(2)and water fracturing,and the surface area of SC-CO_(2)-induced fracture is 6.49%e58.57%larger than that of water-induced fracture.The fractal dimension and surface roughness of water-induced fractures increase with the increase in perforation angle,while those of SC-CO_(2)-induced fractures decrease with the increasing perforation angle.A considerable number of microcracks and particle peeling pits can be observed on SC-CO_(2)-induced fracture surface while there are more flat particle surfaces in water-induced fracture surface through SEM images,indicating that fractures tend to propagate along the boundary of the particle for SC-CO_(2)fracturing while water-induced fractures prefer to cut through particles.These findings are of great significance for analyzing fracture mechanism and evaluating fracturing stimulation performance.展开更多
Based on the analysis of the unique shapes and writing styles of Uyghur characters,we design a framework for prototype character recognition system and carry out a systematic theoretical and experimental research on i...Based on the analysis of the unique shapes and writing styles of Uyghur characters,we design a framework for prototype character recognition system and carry out a systematic theoretical and experimental research on its modules.In the preprocessing procedure,we use the linear and nonlinear normalization based on dot density method.Both structural and statistical features are extracted due to the fact that there are some very similar characters in Uyghur literature.In clustering analysis,we adopt the dynamic clustering algorithm based on the minimum spanning tree（MST）,and use the k-nearest neighbor matching classification as classifier.The testing results of prototype system show that the recognition rates for characters of the four different types（independent,suffix,intermediate,and initial type） are 74.67%,70.42%,63.33%,and 72.02%,respectively;the recognition rates for the case of five candidates for those characters are 94.34%,94.19%,93.15%,and 95.86%,respectively.The ideas and methods used in this paper have some commonality and usefulness for the recognition of other characters that belong to Altaic languages family.展开更多
It is of great significance to guarantee the efficient statistics of high-speed railway on-board equipment fault information,which also improves the efficiency of fault analysis. Considering this background, this pape...It is of great significance to guarantee the efficient statistics of high-speed railway on-board equipment fault information,which also improves the efficiency of fault analysis. Considering this background, this paper presents an empirical exploration of named entity recognition(NER) of on-board equipment fault information. Based on the historical fault records of on-board equipment, a fault information recognition model based on multi-neural network collaboration is proposed. First, considering Chinese recorded data characteristics, a method of constructing semantic features and additional features based on character granularity is proposed. Then, the two feature representations are concatenated and passed into the gated convolutional layer to extract the dependencies from multiple different subspaces and adjacent characters in parallel. Next, the local features are transmitted to the bidirectional long short-term memory(BiLSTM) to learn long-term dependency information. On top of BiLSTM, the sequential conditional random field(CRF) is used to jointly decode the optimized tag sequence of the whole sentence. The model is tested and compared with other representative baseline models. The results show that the proposed model not only considers the language characteristics of on-board fault records, but also has obvious advantages on the performance of fault information recognition.展开更多
Introduction:On September 16,2024,the Puyang City CDC received a report of a suspected foodborne disease outbreak involving 14 individuals who developed nausea,vomiting,and diarrhea following attendance at a hotel ban...Introduction:On September 16,2024,the Puyang City CDC received a report of a suspected foodborne disease outbreak involving 14 individuals who developed nausea,vomiting,and diarrhea following attendance at a hotel banquet.Upon notification,the District CDC immediately deployed a specialized investigation team to characterize the epidemiological features of the outbreak,identify the causative pathogen,assess potential transmission risks,and implement effective control and prevention measures.Methods:We integrated comprehensive on-site epidemiological investigations,clinical symptom analyses,and laboratory diagnostics to isolate and identify pathogenic agents from retained food samples,environmental specimens,and anal swabs collected from affected cases.The recovered isolates underwent enterotoxin-virulence-gene profiling,antimicrobialsusceptibility testing,and phylogenetic analyses.Additionally,we characterized the architecture of the enterotoxin-A-linked pathogenicity island vSaβ.Results:A total of 4 S.aureus strains were successfully isolated from 22 leftover food samples,2 environmental swabs,and 2 patient anal swabs.Contaminated donkey and goose meat was identified as the outbreak source.All isolates harbored sea and seb enterotoxin genes,exhibited PEN-OXA-ERY-CLI resistance patterns,and were identified as clonal ST59-spa t441-SCCmec IVa CA-MRSA strains.Phylogenetic analysis positioned the outbreak strains within the Asia-Pacific clade,distinguishing them from the North American ST59 sublineage.Comprehensive analysis of the sea-associated virulence island vSaβidentified a novel structural arrangement containing a type A IEC cluster(sea-sak-chp-scn).Conclusions:The detection of foodborne ST59 CAMRSA clones in this outbreak underscores the prevalence and transmission risks associated with this hypervirulent lineage.These findings emphasize the critical need to strengthen surveillance measures for CA-MRSA among food industry workers.展开更多
文摘As a vectorial property,polarization encodes high-dimensional information of light.Polarization-based imaging can characterize detailed structural features of biomedical samples label-freely.However,compared with other fundamental properties of light,such as intensity,wavelength and phase,polarization has a shorter application history in biomedicine,because of the requirement for both advanced polarization optical components and computational approaches,which can be achieved nowadays with the fast theoretical and hardware development.
基金National Natural Science Foundation of China(Grant No.51804318)the China Postdoctoral Science Foundation Founded Project(Grant No.2019M650963)National Key Basic Research and Development Program of China(Grant No.2014CB239203).
文摘Morphology of hydraulic fracture surface has significant effects on oil and gas flow,proppant migration and fracture closure,which plays an important role in oil and gas fracturing stimulation.In this paper,we analyzed the fracture surface characteristics induced by supercritical carbon dioxide(SC-CO_(2))and water in open-hole and perforation completion conditions under triaxial stresses.A simple calculation method was proposed to quantitatively analyze the fracture surface area and roughness in macro-level based on three-dimensional(3D)scanning data.In micro-level,scanning electron micrograph(SEM)was used to analyze the features of fracture surface.The results showed that the surface area of the induced fracture increases with perforation angle for both SC-CO_(2)and water fracturing,and the surface area of SC-CO_(2)-induced fracture is 6.49%e58.57%larger than that of water-induced fracture.The fractal dimension and surface roughness of water-induced fractures increase with the increase in perforation angle,while those of SC-CO_(2)-induced fractures decrease with the increasing perforation angle.A considerable number of microcracks and particle peeling pits can be observed on SC-CO_(2)-induced fracture surface while there are more flat particle surfaces in water-induced fracture surface through SEM images,indicating that fractures tend to propagate along the boundary of the particle for SC-CO_(2)fracturing while water-induced fractures prefer to cut through particles.These findings are of great significance for analyzing fracture mechanism and evaluating fracturing stimulation performance.
基金Supported by the National Natural Science Foundation of China (61065001)
文摘Based on the analysis of the unique shapes and writing styles of Uyghur characters,we design a framework for prototype character recognition system and carry out a systematic theoretical and experimental research on its modules.In the preprocessing procedure,we use the linear and nonlinear normalization based on dot density method.Both structural and statistical features are extracted due to the fact that there are some very similar characters in Uyghur literature.In clustering analysis,we adopt the dynamic clustering algorithm based on the minimum spanning tree（MST）,and use the k-nearest neighbor matching classification as classifier.The testing results of prototype system show that the recognition rates for characters of the four different types（independent,suffix,intermediate,and initial type） are 74.67%,70.42%,63.33%,and 72.02%,respectively;the recognition rates for the case of five candidates for those characters are 94.34%,94.19%,93.15%,and 95.86%,respectively.The ideas and methods used in this paper have some commonality and usefulness for the recognition of other characters that belong to Altaic languages family.
基金supported by National Natural Science Foundation of China(No.61763025)Gansu Science and Technology Program Project(No.18JR3RA104)+1 种基金Industrial Support Program for Colleges and Universities in Gansu Province(No.2020C-19)Lanzhou Science and Technology Project(No.2019-4-49)。
文摘It is of great significance to guarantee the efficient statistics of high-speed railway on-board equipment fault information,which also improves the efficiency of fault analysis. Considering this background, this paper presents an empirical exploration of named entity recognition(NER) of on-board equipment fault information. Based on the historical fault records of on-board equipment, a fault information recognition model based on multi-neural network collaboration is proposed. First, considering Chinese recorded data characteristics, a method of constructing semantic features and additional features based on character granularity is proposed. Then, the two feature representations are concatenated and passed into the gated convolutional layer to extract the dependencies from multiple different subspaces and adjacent characters in parallel. Next, the local features are transmitted to the bidirectional long short-term memory(BiLSTM) to learn long-term dependency information. On top of BiLSTM, the sequential conditional random field(CRF) is used to jointly decode the optimized tag sequence of the whole sentence. The model is tested and compared with other representative baseline models. The results show that the proposed model not only considers the language characteristics of on-board fault records, but also has obvious advantages on the performance of fault information recognition.
文摘Introduction:On September 16,2024,the Puyang City CDC received a report of a suspected foodborne disease outbreak involving 14 individuals who developed nausea,vomiting,and diarrhea following attendance at a hotel banquet.Upon notification,the District CDC immediately deployed a specialized investigation team to characterize the epidemiological features of the outbreak,identify the causative pathogen,assess potential transmission risks,and implement effective control and prevention measures.Methods:We integrated comprehensive on-site epidemiological investigations,clinical symptom analyses,and laboratory diagnostics to isolate and identify pathogenic agents from retained food samples,environmental specimens,and anal swabs collected from affected cases.The recovered isolates underwent enterotoxin-virulence-gene profiling,antimicrobialsusceptibility testing,and phylogenetic analyses.Additionally,we characterized the architecture of the enterotoxin-A-linked pathogenicity island vSaβ.Results:A total of 4 S.aureus strains were successfully isolated from 22 leftover food samples,2 environmental swabs,and 2 patient anal swabs.Contaminated donkey and goose meat was identified as the outbreak source.All isolates harbored sea and seb enterotoxin genes,exhibited PEN-OXA-ERY-CLI resistance patterns,and were identified as clonal ST59-spa t441-SCCmec IVa CA-MRSA strains.Phylogenetic analysis positioned the outbreak strains within the Asia-Pacific clade,distinguishing them from the North American ST59 sublineage.Comprehensive analysis of the sea-associated virulence island vSaβidentified a novel structural arrangement containing a type A IEC cluster(sea-sak-chp-scn).Conclusions:The detection of foodborne ST59 CAMRSA clones in this outbreak underscores the prevalence and transmission risks associated with this hypervirulent lineage.These findings emphasize the critical need to strengthen surveillance measures for CA-MRSA among food industry workers.
