Background Enterotoxigenic Escherichia coli(E.coli)is a threat to humans and animals that causes intestinal dis-orders.Antimicrobial resistance has urged alternatives,including Lactobacillus postbiotics,to mitigate th...Background Enterotoxigenic Escherichia coli(E.coli)is a threat to humans and animals that causes intestinal dis-orders.Antimicrobial resistance has urged alternatives,including Lactobacillus postbiotics,to mitigate the effects of enterotoxigenic E.coli.Methods Forty-eight newly weaned pigs were allotted to NC:no challenge/no supplement;PC:F18^(+)E.coli chal-lenge/no supplement;ATB:F18^(+)E.coli challenge/bacitracin;and LPB:F18^(+)E.coli challenge/postbiotics and fed diets for 28 d.On d 7,pigs were orally inoculated withF18^(+)E.coli.At d 28,the mucosa-associated microbiota,immune and oxidative stress status,intestinal morphology,the gene expression of pattern recognition receptors(PRR),and intestinal barrier function were measured.Data were analyzed using the MIXED procedure in SAS 9.4.Results PC increased(P<0.05)Helicobacter mastomyrinus whereas reduced(P<0.05)Prevotella copri and P.ster-corea compared to NC.The LPB increased(P<0.05)P.stercorea and Dialister succinatiphilus compared with PC.The ATB increased(P<0.05)Propionibacterium acnes,Corynebacterium glutamicum,and Sphingomonas pseudosanguinis compared to PC.The PC tended to reduce(P=0.054)PGLYRP4 and increased(P<0.05)TLR4,CD14,MDA,and crypt cell proliferation compared with NC.The ATB reduced(P<0.05)NOD1 compared with PC.The LPB increased(P<0.05)PGLYRP4,and interferon-γand reduced(P<0.05)NOD1 compared with PC.The ATB and LPB reduced(P<0.05)TNF-αand MDA compared with PC.Conclusions TheF18^(+)E.coli challenge compromised intestinal health.Bacitracin increased beneficial bacteria show-ing a trend towards increasing the intestinal barrier function,possibly by reducing the expression of PRR genes.Lac-tobacillus postbiotics enhanced the immunocompetence of nursery pigs by increasing the expression of interferon-γand PGLYRP4,and by reducing TLR4,NOD1,and CD14.展开更多
Diabetic nephropathy(DN)is currently the most common complication of diabetes.It is considered to be one of the leading causes of end-stage renal disease(ESRD)and affects many diabetic patients.The pathogenesis of DN ...Diabetic nephropathy(DN)is currently the most common complication of diabetes.It is considered to be one of the leading causes of end-stage renal disease(ESRD)and affects many diabetic patients.The pathogenesis of DN is extremely complex and has not yet been clarified;however,in recent years,increasing evidence has shown the important role of innate immunity in DN pathogenesis.Pattern recognition receptors(PRRs)are important components of the innate immune system and have a significant impact on the occurrence and development of DN.In this review,we classify PRRs into secretory,endocytic,and signal transduction PRRs according to the relationship between the PRRs and subcellular compartments.PRRs can recognize related pathogen-associated molecular patterns(PAMPs)and danger-associated molecular patterns(DAMPs),thus triggering a series of inflammatory responses,promoting renal fibrosis,and finally causing renal impairment.In this review,we describe the proposed role of each type of PRRs in the development and progression of DN.展开更多
Pattern recognition receptor(PRR)is a kind of sensor which is mainly expressed on the surface of innate immune cells.It can recognize pathogen related molecular patterns(PAMPs)or damage related molecular patterns(DAMP...Pattern recognition receptor(PRR)is a kind of sensor which is mainly expressed on the surface of innate immune cells.It can recognize pathogen related molecular patterns(PAMPs)or damage related molecular patterns(DAMPs).The innate immune system uses pattern recognition receptors to recognize pathogenic microorganisms in periodontal tissues and transmit signals to downstream pathways in time,thus triggering immune responses and then eliminating them.PRR has many family members,including toll like receptor family(TLRs),C-type lectin receptor family(CLRs),retinoic acid induced gene I(RIG-I)like receptor family(RLRs)and nucleotide binding oligomer domain(NOD)like receptor family(NLRs).Among them,RLRs are cytoplasmic receptors that recognize dsRNA from RNA viruses and have little association with chronic periodontitis.In this paper,the classification and structure of TLRs,CLRs,NLRs and the role of signal transduction pathway in chronic periodontitis are reviewed.In order to enrich the pathogenesis of periodontitis,provide new ideas for the treatment and prevention of chronic periodontitis.展开更多
Pattern recognition receptors(PRRs)are sensors in the immune system,detecting pathogen-associated molecular patterns(PAMPs)and damage-associated molecular patterns(DAMPs).They serve as essential links between the inna...Pattern recognition receptors(PRRs)are sensors in the immune system,detecting pathogen-associated molecular patterns(PAMPs)and damage-associated molecular patterns(DAMPs).They serve as essential links between the innate and adaptive immune responses,initiating defense mechanisms against pathogens and maintaining immune homeostasis.This review examines the classification,structure,and signaling cascades of key PRR families,including toll-like receptors(TLRs),C-type lectin receptors(CLRs),nucleotide-binding oligomerization domain-like receptors(NLRs),AIM2-like receptors(ALRs),and others.It explores the dual roles of PRRs in immune defense and regulation,particularly through inhibitory PRRs(iPRRs),which prevent immune overactivation.展开更多
Objective:To study the value of serum pattern recognition receptors Collectin, Dectin and CD14 detection for disease evaluation in children with hand, foot and mouth disease (HFMD). Methods:76 children diagnosed with ...Objective:To study the value of serum pattern recognition receptors Collectin, Dectin and CD14 detection for disease evaluation in children with hand, foot and mouth disease (HFMD). Methods:76 children diagnosed with hand, foot and mouth disease in our hospital between May 2013 and March 2016 were selected as the HFMD group of the research, 80 healthy children receiving physical examination in our hospital during the same period were selected as the control group of the research, and the serum was collected to determine the levels of pattern recognition receptors, immunoglobulins, complements, inflammatory media and target organ damage indexes. Results:Serum Collectin, Dectin and CD14 levels of HFMD group were significantly higher than those of control group (P<0.05);serum immunoglobulin G (IgG) IgM, IgA, C3 and C4 levels of HFMD group were significantly lower than those of control group (P<0.05) and negatively correlated with Collectin, Dectin and CD14 levels;serum PCT, C-reactive protein (CRP), interleukin-6 (IL-6), IL-10, tumor necrosis factor-α(TNF-α), N-terminal pro-brain natriuretic peptide (NT-proBNP), neuron-specific enolase (NSE), S100βand surfactant protein A (SP-A) levels of HFMD group were significantly higher than those of control group (P<0.05) and positively correlated with Collectin, Dectin and CD14 levels. Conclusions:High expression of serum pattern recognition receptors Collectin, Dectin and CD14 in children with hand, foot and mouth disease is closely related to the immune response, inflammatory response and target organ function damage during the disease progression.展开更多
Nucleotide-binding oligomerisation domains(NODs)are pattern recognition receptors involved in the detection of intracellular pathogenic microorganisms and important members of the NOD-like receptor family.These cytopl...Nucleotide-binding oligomerisation domains(NODs)are pattern recognition receptors involved in the detection of intracellular pathogenic microorganisms and important members of the NOD-like receptor family.These cytoplasmic receptors play a crucial role in orchestrating the innate immune response and are implicated in the progression of various inflammatory disorders,as well as inflammation-related neoplasms.In this review,we summarised the recent developments in NOD1 and NOD2 studies with a particular focus on their role in gynaecological malignancies.These findings emphasise the critical and dynamic roles of NOD1 and NOD2 proteins in gynaecologic cancers and provide insights into integrative therapeutic strategies targeting the NODassociated signalling cascades.展开更多
Pattern recognition receptors(PRRs) play important roles in innate immunity system and trigger the specific pathogen recognition by detecting the pathogen-associated molecular patterns. The main four PRRs components i...Pattern recognition receptors(PRRs) play important roles in innate immunity system and trigger the specific pathogen recognition by detecting the pathogen-associated molecular patterns. The main four PRRs components including Toll-like receptors(TLRs), RIG-I-like receptors(RLRs), NOD-like receptors(NLRs) and C-type lectin receptors(CLRs) were surveyed in the five genomes of non-teleost ray-finned fishes(NTR) including bichir(Polypterus senegalus), American paddlefish(Polyodon spathula), alligator gar(Atractosteus spatula), spotted gar(Lepisosteus oculatus) and bowfin(Amia calva), representing all the four major basal groups of ray-finned fishes. The result indicates that all the four PRRs components have been well established in these NTR fishes. In the RLR-MAVS signal pathway, which detects intracellular RNA ligands to induce production of type I interferons(IFNs), the MAVS was lost in bichir particularly. Also, the essential genes of recognition of Lipopolysaccharide(LPS) commonly in mammals like MD2, LY96 and LBP could not be identified in NTR fishes. It is speculated that TLR4 in NTR fishes may act as a cooperator with other PRRs and has a different pathway of recognizing LPS compared with that in mammals. In addition, we provide a survey of NLR and CLR in NTR fishes. The CLRs results suggest that Group V receptors are absent in fishes and Group II and VI receptors are well established in the early vertebrate evolution. Our comprehensive research of PRRs involving NTR fishes provides a new insight into PRR evolution in primitive vertebrate.展开更多
Pattern recognition receptors(PRRs)play a crucial role in immune responses,acting as pri-mary sensors for microbial and host-derived signals.PRRs,which include Toll-like receptors(TLRs),re-tinoic acid-inducible gene 1...Pattern recognition receptors(PRRs)play a crucial role in immune responses,acting as pri-mary sensors for microbial and host-derived signals.PRRs,which include Toll-like receptors(TLRs),re-tinoic acid-inducible gene 1-like receptors,nucleotide-binding oligomerization domain-like receptors,C-type lectin receptors,and various cytoplasmic DNA sensors,are essential for initiating immune re-sponses that regulate both inflammation and tumor immunity.Recent studies have highlighted their dual roles in cancer,where they can either suppress or promote tumor progression by influencing the tumor microenvironment and modulating responses to immunotherapy.In the context of cancer,PRRs not only activate immune cells but also contribute to immune evasion mechanisms within tumors.Therapeutically,targeting PRRs represents a promising approach for cancer treatment,with related drugs showing poten-tial to enhance the efficacy of existing immunotherapies.Numerous PRR-based agents,particularly TLR agonists,are currently under clinical investigation for their ability to augment antitumor immunity and overcome resistance to immune checkpoint inhibitors.This review examines the molecular mechanisms by which PRRs influence cancer,with a focus on recent advancements in PRR-targeted therapies and their integration with contemporary immunotherapeutic strategies.展开更多
Pattern recognition receptors （PRRs） and their signaling pathways have essential roles in recognizing various components of pathogens as well as damaged cells and triggering inflammatory responses that eliminate inv...Pattern recognition receptors （PRRs） and their signaling pathways have essential roles in recognizing various components of pathogens as well as damaged cells and triggering inflammatory responses that eliminate invading microorganisms and damaged cells. The zebrafish relies heavily on these primary defense mechanisms against pathogens. Here, we review the major PRR signaling pathways in the zebrafish innate immune system and compare these signaling pathways in zebrafish and humans to reveal their evolutionary relationship and better understand their innate immune defense mechanisms.展开更多
AI applications have already-irreversibly-entered the fields of Humanities,Classics,and archaeological research,but are rarely taught in class.This paper attempts to encourage teachers and students of Classical Archae...AI applications have already-irreversibly-entered the fields of Humanities,Classics,and archaeological research,but are rarely taught in class.This paper attempts to encourage teachers and students of Classical Archaeology,Classics,Art History,and related fields,to practically explore,evaluate,and critically discuss pattern recognition(here focusing on Greek vase-painting),without requiring previously acquired coding skills.For this task,I will outline the potential of the open access program“Orange Data Mining”for academic teaching,based on a seminar taught by myself at Heidelberg University in the winter semester of 2024/25.I will introduce four different pattern recognition exercises(“Image Grid,”“Image Clustering,”“Image Classification,”and“Prediction”)that are easily accessible for classicists(please,try this at home!)and report the results and experiences which came out of our seminar.Furthermore,I will evaluate how the“hands-on”use of Orange Data Mining in class enables students to access the current debate on the chances and limitations of AI for research in ancient studies.展开更多
OBJECTIVE:To study the correlation between five flavors(Wuwei)and the chemical substances of Chinese herbal medicines in Lamiaceae and to establish five flavors identification models.METHODS:A total of 245 herbs belon...OBJECTIVE:To study the correlation between five flavors(Wuwei)and the chemical substances of Chinese herbal medicines in Lamiaceae and to establish five flavors identification models.METHODS:A total of 245 herbs belonging to the Lamiaceae family were selected from the Pharmacopoeia of the People's Republic of China 2020 and Chinese Materia Medica.A database of the chemical substances of these herbs was constructed,with the chemical substances obtained from the professional literature and databases.A three-level classification system of the material components was established on the basis of the molecular structure and biosynthetic pathway of these substances.Apriori association rule analysis and feature selection were employed to obtain the material basis of the five flavors.A multiple logistic regression analysis method was employed to establish identification models for the five flavors.RESULTS:The association rule analysis revealed 34 high-value groups and 30 specific groups for the main flavors,and 39 high-value groups and 36 specific groups for the combined flavors.Sixteen groups of chemical components were the decisive groups for the main flavors,and 13 groups were the decisive groups for the combined flavors.Multiple logistic regression analysis was used to successfully establish identification models with an overall accuracy of 88.8%for the main flavors and 87%for the combined flavors.CONCLUSIONS:Five flavors are often characterized by the interaction of multiple classes of substances,and a single class of substances cannot be used to characterize flavors.The organic combination of multiple classes of substances is the material basis of the five flavors,both the main and combined flavors.Significant differences exist in the material basis of the main and combined flavors,suggesting that the“natural flavor”and“functional flavor”may have different material bases.展开更多
The ionosphere is an important component of the near Earth space environment.The three common methods for detecting the ionosphere with high frequency(HF)radio signals are vertical detection,oblique detection,and obli...The ionosphere is an important component of the near Earth space environment.The three common methods for detecting the ionosphere with high frequency(HF)radio signals are vertical detection,oblique detection,and oblique backscatter detection.The ionograms obtained by these detection methods can effectively reflect a large amount of effective information in the ionosphere.The focus of this article is on the oblique backscatter ionogram obtained by oblique backscatter detection.By extracting the leading edge of the oblique backscatter ionogram,effective information in the ionosphere can be inverted.The key issue is how to accurately obtain the leading edge of the oblique backscatter ionogram.In recent years,the application of pattern recognition has become increasingly widespread,and the YOLO model is one of the best fast object detection algorithms in one-stage.Therefore,the core idea of this article is to use the newer YOLOX object detection algorithm in the YOLO family to perform pattern recognition on the F and E_(s) layers echoes in the oblique backscatter ionogram.After image processing,a single-layer oblique backscatter echoes are obtained.It can be found that the leading edge extraction of the oblique backscatter ionogram obtained after pattern recognition and image processing by the YOLOX model is more fitting to the actual oblique backscatter leading edge.展开更多
In recent years,audio pattern recognition has emerged as a key area of research,driven by its applications in human-computer interaction,robotics,and healthcare.Traditional methods,which rely heavily on handcrafted fe...In recent years,audio pattern recognition has emerged as a key area of research,driven by its applications in human-computer interaction,robotics,and healthcare.Traditional methods,which rely heavily on handcrafted features such asMel filters,often suffer frominformation loss and limited feature representation capabilities.To address these limitations,this study proposes an innovative end-to-end audio pattern recognition framework that directly processes raw audio signals,preserving original information and extracting effective classification features.The proposed framework utilizes a dual-branch architecture:a global refinement module that retains channel and temporal details and a multi-scale embedding module that captures high-level semantic information.Additionally,a guided fusion module integrates complementary features from both branches,ensuring a comprehensive representation of audio data.Specifically,the multi-scale audio context embedding module is designed to effectively extract spatiotemporal dependencies,while the global refinement module aggregates multi-scale channel and temporal cues for enhanced modeling.The guided fusion module leverages these features to achieve efficient integration of complementary information,resulting in improved classification accuracy.Experimental results demonstrate the model’s superior performance on multiple datasets,including ESC-50,UrbanSound8K,RAVDESS,and CREMA-D,with classification accuracies of 93.25%,90.91%,92.36%,and 70.50%,respectively.These results highlight the robustness and effectiveness of the proposed framework,which significantly outperforms existing approaches.By addressing critical challenges such as information loss and limited feature representation,thiswork provides newinsights and methodologies for advancing audio classification and multimodal interaction systems.展开更多
Water scarcity and environment deterioration have become main constraints to sustainable economic and social development.Scientifically assessing Water Resources Carrying Capacity(WRCC)is essential for the optimal all...Water scarcity and environment deterioration have become main constraints to sustainable economic and social development.Scientifically assessing Water Resources Carrying Capacity(WRCC)is essential for the optimal allocation of regional water resources.The hilly area at the northern foot of Yanshan Mountains is a key water conservation zone and an important water source for Beijing,Tianjin and Hebei.Grasping the current status and temporal trends of water quality and WRCC in representative small watersheds within this region is crucial for supporting rational water resources allocation and environment protection efforts.This study focuses on Pingquan City,a typical watershed in northern Hebei Province.Firstly,evaluation index systems for surface water quality,groundwater quality and WRCC were estab-lished based on the Pressure-State-Response(PSR)framework.Then,comprehensive evaluations of water quality and WRCC at the sub-watershed scale were conducted using the Varying Fuzzy Pattern Recogni-tion(VFPR)model.Finally,the rationality of the evaluation results was verified,and future scenarios were projected.Results showed that:(1)The average comprehensive evaluation scores for surface water and groundwater quality in the sub-watersheds were 1.44 and 1.46,respectively,indicating that both met the national Class II water quality standard and reflected a high-quality water environment.(2)From 2010 to 2020,the region's WRCC steadily improved,with scores rising from 2.99 to 2.83 and an average of 2.90,suggesting effective water resources management in Pingquan City.(3)According to scenario-based predic-tion,WRCC may slightly decline between 2025 and 2030,reaching 2.92 and 2.94,respectively,relative to 2020 levels.Therefore,future efforts should focus on strengthening scientific management and promoting the efficient use of water resources.Proactive measures are necessary to mitigate emerging contradiction and ensure the long-term stability and sustainability of the water resources system in the region.The evalua-tion system and spatiotemporal evolution patterns proposed in this study can provide a scientific basis for refined water resource management and ecological conservation in similar hilly areas.展开更多
The combination of pyrolysis high resolution gas chromatography and pat- tern recognition techniques is a powerful tool for the classification of traditional Chinese drug.A study has been completed on 55 Beimu samples...The combination of pyrolysis high resolution gas chromatography and pat- tern recognition techniques is a powerful tool for the classification of traditional Chinese drug.A study has been completed on 55 Beimu samples of five different geographic origins: Eastern China.Central China.South-western China,North-western China and North-eastern China.Principal component analysis and SIMCA are applied to effectively classifying the samples according to the origin of the plants.The chemical information contained in the high resolution gas chromatographic data is sufficient to characterize the geographic origin of sam- pies.展开更多
The concept of the degree of similarity between interval-valued intuitionistic fuzzy sets （IVIFSs） is introduced, and some distance measures between IVIFSs are defined based on the Hamming distance, the normalized H...The concept of the degree of similarity between interval-valued intuitionistic fuzzy sets （IVIFSs） is introduced, and some distance measures between IVIFSs are defined based on the Hamming distance, the normalized Hamming distance, the weighted Hamming distance, the Euclidean distance, the normalized Euclidean distance, and the weighted Euclidean distance, etc. Then, by combining the Hausdorff metric with the Hamming distance, the Euclidean distance and their weighted versions, two other similarity measures between IVIFSs, i. e., the weighted Hamming distance based on the Hausdorff metric and the weighted Euclidean distance based on the Hausdorff metric, are defined, and then some of their properties are studied. Finally, based on these distance measures, some similarity measures between IVIFSs are defined, and the similarity measures are applied to pattern recognitions with interval-valued intuitionistic fuzzy information.展开更多
A hybrid network is presented for spatio-temporal feature detecting, which is called TS-LM-SOFM. Its top layer is a novel single layer temporal sequence recognizer called TS which can transform sparse temporal sequen...A hybrid network is presented for spatio-temporal feature detecting, which is called TS-LM-SOFM. Its top layer is a novel single layer temporal sequence recognizer called TS which can transform sparse temporal sequential pattern into abstract spatial feature representations. The bottom layer of TS-LM-SOFM, a modified self-organizing feature map, is used as a spatial feature detector. A learning matrix connects the two layers. Experiments show that the hybrid network can well capture the spatio-temporal features of input signals.展开更多
Objective:To explore which pattern recognition receptors(PRRs)play a key role in the development of hand,foot,and mouth disease(HFMD)by analyzing PRR-associated genes.Methods:We conducted a comparative analysis of PRR...Objective:To explore which pattern recognition receptors(PRRs)play a key role in the development of hand,foot,and mouth disease(HFMD)by analyzing PRR-associated genes.Methods:We conducted a comparative analysis of PRR-associated gene expression in human peripheral blood mononuclear cells(PBMCs)infected with enterovirus 71(EV-A71)which were derived from patients with HFMD of different severities and at different stages.A total of 30 PRR-associated genes were identified as significantly upregulated both over time and across different EV-A71 isolates.Subsequently,ELISA was employed to quantify the expression of the six most prominent genes among these 30 identified genes,specifically,BST2,IRF7,IFI16,TRIM21,MX1,and DDX58.Results:Compared with those at the recovery stage,the expression levels of BST2(P=0.027),IFI16(P=0.016),MX1(P=0.046)and DDX58(P=0.008)in the acute stage of infection were significantly upregulated,while no significant difference in the expression levels of IRF7(P=0.495)and TRIM21(P=0.071)was found between different stages of the disease.The expression levels of BST2,IRF7,IFI16 and MX1 were significantly higher in children infected with single pathogen than those infected with mixed pathogens,and BST2,IRF7,IFI16 and MX1 expression levels were significantly lower in coxsackie B virus(COXB)positive patients than the negative patients.Expression levels of one or more of BST2,IRF7,IFI16,TRIM21,MX1 and DDX58 genes were correlated with PCT levels,various white blood cell counts,and serum antibody levels that reflect disease course of HFMD.Aspartate aminotransferase was correlated with BST2,MX1 and DDX58 expression levels.Conclusions:PRR-associated genes likely initiate the immune response in patients at the acute stage of HFMD.展开更多
For the problems occurring in a least square method model, a fuzzy model, and a neural network model for flatness pattern recognition, a fuzzy neural network model for flatness pattern recognition with only three-inpu...For the problems occurring in a least square method model, a fuzzy model, and a neural network model for flatness pattern recognition, a fuzzy neural network model for flatness pattern recognition with only three-input and three output signals was proposed with Legendre orthodoxy polynomial as basic pattern, based on fuzzy logic expert experiential knowledge and genetic-BP hybrid optimization algorithm. The model not only had definite physical meanings in its inner nodes, but also had strong self-adaptability, anti interference ability, high recognition precision, and high velocity, thereby meeting the demand of high-precision flatness control for cold strip mill and providing a convenient, practical, and novel method for flatness pattern recognition.展开更多
Based on the regularity nature of lower-limb motion,an intent pattern recognition approach for above-knee prosthesis is proposed in this paper. To remedy the defects of recognizer based on electromyogram(EMG), we deve...Based on the regularity nature of lower-limb motion,an intent pattern recognition approach for above-knee prosthesis is proposed in this paper. To remedy the defects of recognizer based on electromyogram(EMG), we develop a pure mechanical sensor architecture for intent pattern recognition of lower-limb motion. The sensor system is composed of an accelerometer, a gyroscope mounted on the prosthetic socket, and two pressure sensors mounted under the sole. To compensate the delay in the control of prosthesis, the signals in the stance phase are used to predict the terrain and speed in the swing phase. Specifically, the intent pattern recognizer utilizes intraclass correlation coefficient(ICC) according to the Cartesian product of walking speed and terrain. Moreover, the sensor data are fused via DempsterShafer's theory. And hidden Markov model(HMM) is used to recognize the realtime motion state with the reference of the prior step. The proposed method can infer the prosthesis user's intent of walking on different terrain, which includes level ground,stair ascent, stair descent, up and down ramp. The experiments demonstrate that the intent pattern recognizer is capable of identifying five typical terrain-modes with the rate of 95.8%. The outcome of this investigation is expected to substantially improve the control performance of powered above-knee prosthesis.展开更多
文摘Background Enterotoxigenic Escherichia coli(E.coli)is a threat to humans and animals that causes intestinal dis-orders.Antimicrobial resistance has urged alternatives,including Lactobacillus postbiotics,to mitigate the effects of enterotoxigenic E.coli.Methods Forty-eight newly weaned pigs were allotted to NC:no challenge/no supplement;PC:F18^(+)E.coli chal-lenge/no supplement;ATB:F18^(+)E.coli challenge/bacitracin;and LPB:F18^(+)E.coli challenge/postbiotics and fed diets for 28 d.On d 7,pigs were orally inoculated withF18^(+)E.coli.At d 28,the mucosa-associated microbiota,immune and oxidative stress status,intestinal morphology,the gene expression of pattern recognition receptors(PRR),and intestinal barrier function were measured.Data were analyzed using the MIXED procedure in SAS 9.4.Results PC increased(P<0.05)Helicobacter mastomyrinus whereas reduced(P<0.05)Prevotella copri and P.ster-corea compared to NC.The LPB increased(P<0.05)P.stercorea and Dialister succinatiphilus compared with PC.The ATB increased(P<0.05)Propionibacterium acnes,Corynebacterium glutamicum,and Sphingomonas pseudosanguinis compared to PC.The PC tended to reduce(P=0.054)PGLYRP4 and increased(P<0.05)TLR4,CD14,MDA,and crypt cell proliferation compared with NC.The ATB reduced(P<0.05)NOD1 compared with PC.The LPB increased(P<0.05)PGLYRP4,and interferon-γand reduced(P<0.05)NOD1 compared with PC.The ATB and LPB reduced(P<0.05)TNF-αand MDA compared with PC.Conclusions TheF18^(+)E.coli challenge compromised intestinal health.Bacitracin increased beneficial bacteria show-ing a trend towards increasing the intestinal barrier function,possibly by reducing the expression of PRR genes.Lac-tobacillus postbiotics enhanced the immunocompetence of nursery pigs by increasing the expression of interferon-γand PGLYRP4,and by reducing TLR4,NOD1,and CD14.
基金Project supported by the National Natural Science Foundation of China(Nos.81060063 and 81660129).
文摘Diabetic nephropathy(DN)is currently the most common complication of diabetes.It is considered to be one of the leading causes of end-stage renal disease(ESRD)and affects many diabetic patients.The pathogenesis of DN is extremely complex and has not yet been clarified;however,in recent years,increasing evidence has shown the important role of innate immunity in DN pathogenesis.Pattern recognition receptors(PRRs)are important components of the innate immune system and have a significant impact on the occurrence and development of DN.In this review,we classify PRRs into secretory,endocytic,and signal transduction PRRs according to the relationship between the PRRs and subcellular compartments.PRRs can recognize related pathogen-associated molecular patterns(PAMPs)and danger-associated molecular patterns(DAMPs),thus triggering a series of inflammatory responses,promoting renal fibrosis,and finally causing renal impairment.In this review,we describe the proposed role of each type of PRRs in the development and progression of DN.
基金Scientific research project of Hainan Provincial Department of Education(No.hnky2018zd-7)。
文摘Pattern recognition receptor(PRR)is a kind of sensor which is mainly expressed on the surface of innate immune cells.It can recognize pathogen related molecular patterns(PAMPs)or damage related molecular patterns(DAMPs).The innate immune system uses pattern recognition receptors to recognize pathogenic microorganisms in periodontal tissues and transmit signals to downstream pathways in time,thus triggering immune responses and then eliminating them.PRR has many family members,including toll like receptor family(TLRs),C-type lectin receptor family(CLRs),retinoic acid induced gene I(RIG-I)like receptor family(RLRs)and nucleotide binding oligomer domain(NOD)like receptor family(NLRs).Among them,RLRs are cytoplasmic receptors that recognize dsRNA from RNA viruses and have little association with chronic periodontitis.In this paper,the classification and structure of TLRs,CLRs,NLRs and the role of signal transduction pathway in chronic periodontitis are reviewed.In order to enrich the pathogenesis of periodontitis,provide new ideas for the treatment and prevention of chronic periodontitis.
基金supported by grants from the National Natural Science Foundation of China(82070613,82370638 to R.C.)the Science and Technology Innovation Program of Hunan Province(2022RC1212 to R.C.)+1 种基金the Natural Science Foundation of Hunan Province,China(2023JJ10095 to R.C.)Hainan Province Clinical Medical Center.
文摘Pattern recognition receptors(PRRs)are sensors in the immune system,detecting pathogen-associated molecular patterns(PAMPs)and damage-associated molecular patterns(DAMPs).They serve as essential links between the innate and adaptive immune responses,initiating defense mechanisms against pathogens and maintaining immune homeostasis.This review examines the classification,structure,and signaling cascades of key PRR families,including toll-like receptors(TLRs),C-type lectin receptors(CLRs),nucleotide-binding oligomerization domain-like receptors(NLRs),AIM2-like receptors(ALRs),and others.It explores the dual roles of PRRs in immune defense and regulation,particularly through inhibitory PRRs(iPRRs),which prevent immune overactivation.
文摘Objective:To study the value of serum pattern recognition receptors Collectin, Dectin and CD14 detection for disease evaluation in children with hand, foot and mouth disease (HFMD). Methods:76 children diagnosed with hand, foot and mouth disease in our hospital between May 2013 and March 2016 were selected as the HFMD group of the research, 80 healthy children receiving physical examination in our hospital during the same period were selected as the control group of the research, and the serum was collected to determine the levels of pattern recognition receptors, immunoglobulins, complements, inflammatory media and target organ damage indexes. Results:Serum Collectin, Dectin and CD14 levels of HFMD group were significantly higher than those of control group (P<0.05);serum immunoglobulin G (IgG) IgM, IgA, C3 and C4 levels of HFMD group were significantly lower than those of control group (P<0.05) and negatively correlated with Collectin, Dectin and CD14 levels;serum PCT, C-reactive protein (CRP), interleukin-6 (IL-6), IL-10, tumor necrosis factor-α(TNF-α), N-terminal pro-brain natriuretic peptide (NT-proBNP), neuron-specific enolase (NSE), S100βand surfactant protein A (SP-A) levels of HFMD group were significantly higher than those of control group (P<0.05) and positively correlated with Collectin, Dectin and CD14 levels. Conclusions:High expression of serum pattern recognition receptors Collectin, Dectin and CD14 in children with hand, foot and mouth disease is closely related to the immune response, inflammatory response and target organ function damage during the disease progression.
基金financially supported by the grants from National Natural Science Foundation of China(82173333 and 81601261)CSCO(Y-Gilead 2024-PT-0189,Y-Young 2024-0251)。
文摘Nucleotide-binding oligomerisation domains(NODs)are pattern recognition receptors involved in the detection of intracellular pathogenic microorganisms and important members of the NOD-like receptor family.These cytoplasmic receptors play a crucial role in orchestrating the innate immune response and are implicated in the progression of various inflammatory disorders,as well as inflammation-related neoplasms.In this review,we summarised the recent developments in NOD1 and NOD2 studies with a particular focus on their role in gynaecological malignancies.These findings emphasise the critical and dynamic roles of NOD1 and NOD2 proteins in gynaecologic cancers and provide insights into integrative therapeutic strategies targeting the NODassociated signalling cascades.
基金supported by the National Natural Science Foundation of China(31372190)
文摘Pattern recognition receptors(PRRs) play important roles in innate immunity system and trigger the specific pathogen recognition by detecting the pathogen-associated molecular patterns. The main four PRRs components including Toll-like receptors(TLRs), RIG-I-like receptors(RLRs), NOD-like receptors(NLRs) and C-type lectin receptors(CLRs) were surveyed in the five genomes of non-teleost ray-finned fishes(NTR) including bichir(Polypterus senegalus), American paddlefish(Polyodon spathula), alligator gar(Atractosteus spatula), spotted gar(Lepisosteus oculatus) and bowfin(Amia calva), representing all the four major basal groups of ray-finned fishes. The result indicates that all the four PRRs components have been well established in these NTR fishes. In the RLR-MAVS signal pathway, which detects intracellular RNA ligands to induce production of type I interferons(IFNs), the MAVS was lost in bichir particularly. Also, the essential genes of recognition of Lipopolysaccharide(LPS) commonly in mammals like MD2, LY96 and LBP could not be identified in NTR fishes. It is speculated that TLR4 in NTR fishes may act as a cooperator with other PRRs and has a different pathway of recognizing LPS compared with that in mammals. In addition, we provide a survey of NLR and CLR in NTR fishes. The CLRs results suggest that Group V receptors are absent in fishes and Group II and VI receptors are well established in the early vertebrate evolution. Our comprehensive research of PRRs involving NTR fishes provides a new insight into PRR evolution in primitive vertebrate.
基金supported by the National Natural Science Foundation of China(Nos.32371539 and 32271348)Key Research and Development Program of Sichuan Province Grant(No.2023YFG0125,China)Clinical Research Program for West China Hospital,Sichuan University(No.2022HXFH021,China).
文摘Pattern recognition receptors(PRRs)play a crucial role in immune responses,acting as pri-mary sensors for microbial and host-derived signals.PRRs,which include Toll-like receptors(TLRs),re-tinoic acid-inducible gene 1-like receptors,nucleotide-binding oligomerization domain-like receptors,C-type lectin receptors,and various cytoplasmic DNA sensors,are essential for initiating immune re-sponses that regulate both inflammation and tumor immunity.Recent studies have highlighted their dual roles in cancer,where they can either suppress or promote tumor progression by influencing the tumor microenvironment and modulating responses to immunotherapy.In the context of cancer,PRRs not only activate immune cells but also contribute to immune evasion mechanisms within tumors.Therapeutically,targeting PRRs represents a promising approach for cancer treatment,with related drugs showing poten-tial to enhance the efficacy of existing immunotherapies.Numerous PRR-based agents,particularly TLR agonists,are currently under clinical investigation for their ability to augment antitumor immunity and overcome resistance to immune checkpoint inhibitors.This review examines the molecular mechanisms by which PRRs influence cancer,with a focus on recent advancements in PRR-targeted therapies and their integration with contemporary immunotherapeutic strategies.
基金ACKNOWLEDGEMENTS TJ is supported by the Fundamental Research Funds for the Central Universities and the 100 Talents Program of the Chinese Academy of Sciences. YIL is supported by the China Postdoctoral Science Foundation. We express our appreciation to Tsan Sam Xiao at Case Western Reserve University and Bin Lin at the National Institute of Allergy and Infectious Diseases, National Institutes of Health, USA for proofreading and suggestions.
文摘Pattern recognition receptors （PRRs） and their signaling pathways have essential roles in recognizing various components of pathogens as well as damaged cells and triggering inflammatory responses that eliminate invading microorganisms and damaged cells. The zebrafish relies heavily on these primary defense mechanisms against pathogens. Here, we review the major PRR signaling pathways in the zebrafish innate immune system and compare these signaling pathways in zebrafish and humans to reveal their evolutionary relationship and better understand their innate immune defense mechanisms.
基金the European Union’s Horizon 2020 research and innovation programme.
文摘AI applications have already-irreversibly-entered the fields of Humanities,Classics,and archaeological research,but are rarely taught in class.This paper attempts to encourage teachers and students of Classical Archaeology,Classics,Art History,and related fields,to practically explore,evaluate,and critically discuss pattern recognition(here focusing on Greek vase-painting),without requiring previously acquired coding skills.For this task,I will outline the potential of the open access program“Orange Data Mining”for academic teaching,based on a seminar taught by myself at Heidelberg University in the winter semester of 2024/25.I will introduce four different pattern recognition exercises(“Image Grid,”“Image Clustering,”“Image Classification,”and“Prediction”)that are easily accessible for classicists(please,try this at home!)and report the results and experiences which came out of our seminar.Furthermore,I will evaluate how the“hands-on”use of Orange Data Mining in class enables students to access the current debate on the chances and limitations of AI for research in ancient studies.
基金the National Natural Science Foundation of China:Research on the Identification of Cold-Hot Properties in Lamiaceae Herbs based on Infrared Spectroscopy Holistic Component Characteristic Markers(No.81673622)the Anhui Provincial Natural Science Foundation:Research on the Extraction and Identification of Holistic Compositional Characteristics of Warm-Hot Properties of Lamiaceae Herbs(No.1508085MH202)the Anhui Provincial Natural Science Research Project of Higher Education:Research on the Material Basis of Cold-Hot Properties of Lamiaceae Herbs based on Pattern Recognition and Energy Metabolism(No.2023AH050773)。
文摘OBJECTIVE:To study the correlation between five flavors(Wuwei)and the chemical substances of Chinese herbal medicines in Lamiaceae and to establish five flavors identification models.METHODS:A total of 245 herbs belonging to the Lamiaceae family were selected from the Pharmacopoeia of the People's Republic of China 2020 and Chinese Materia Medica.A database of the chemical substances of these herbs was constructed,with the chemical substances obtained from the professional literature and databases.A three-level classification system of the material components was established on the basis of the molecular structure and biosynthetic pathway of these substances.Apriori association rule analysis and feature selection were employed to obtain the material basis of the five flavors.A multiple logistic regression analysis method was employed to establish identification models for the five flavors.RESULTS:The association rule analysis revealed 34 high-value groups and 30 specific groups for the main flavors,and 39 high-value groups and 36 specific groups for the combined flavors.Sixteen groups of chemical components were the decisive groups for the main flavors,and 13 groups were the decisive groups for the combined flavors.Multiple logistic regression analysis was used to successfully establish identification models with an overall accuracy of 88.8%for the main flavors and 87%for the combined flavors.CONCLUSIONS:Five flavors are often characterized by the interaction of multiple classes of substances,and a single class of substances cannot be used to characterize flavors.The organic combination of multiple classes of substances is the material basis of the five flavors,both the main and combined flavors.Significant differences exist in the material basis of the main and combined flavors,suggesting that the“natural flavor”and“functional flavor”may have different material bases.
基金Supported by the National Natural Science Foundation of China(42104151,42074184,42188101,41727804)。
文摘The ionosphere is an important component of the near Earth space environment.The three common methods for detecting the ionosphere with high frequency(HF)radio signals are vertical detection,oblique detection,and oblique backscatter detection.The ionograms obtained by these detection methods can effectively reflect a large amount of effective information in the ionosphere.The focus of this article is on the oblique backscatter ionogram obtained by oblique backscatter detection.By extracting the leading edge of the oblique backscatter ionogram,effective information in the ionosphere can be inverted.The key issue is how to accurately obtain the leading edge of the oblique backscatter ionogram.In recent years,the application of pattern recognition has become increasingly widespread,and the YOLO model is one of the best fast object detection algorithms in one-stage.Therefore,the core idea of this article is to use the newer YOLOX object detection algorithm in the YOLO family to perform pattern recognition on the F and E_(s) layers echoes in the oblique backscatter ionogram.After image processing,a single-layer oblique backscatter echoes are obtained.It can be found that the leading edge extraction of the oblique backscatter ionogram obtained after pattern recognition and image processing by the YOLOX model is more fitting to the actual oblique backscatter leading edge.
基金supported by the National Natural Science Foundation of China(62106214)the Hebei Natural Science Foundation(D2024203008)the Provincial Key Laboratory Performance Subsidy Project(22567612H).
文摘In recent years,audio pattern recognition has emerged as a key area of research,driven by its applications in human-computer interaction,robotics,and healthcare.Traditional methods,which rely heavily on handcrafted features such asMel filters,often suffer frominformation loss and limited feature representation capabilities.To address these limitations,this study proposes an innovative end-to-end audio pattern recognition framework that directly processes raw audio signals,preserving original information and extracting effective classification features.The proposed framework utilizes a dual-branch architecture:a global refinement module that retains channel and temporal details and a multi-scale embedding module that captures high-level semantic information.Additionally,a guided fusion module integrates complementary features from both branches,ensuring a comprehensive representation of audio data.Specifically,the multi-scale audio context embedding module is designed to effectively extract spatiotemporal dependencies,while the global refinement module aggregates multi-scale channel and temporal cues for enhanced modeling.The guided fusion module leverages these features to achieve efficient integration of complementary information,resulting in improved classification accuracy.Experimental results demonstrate the model’s superior performance on multiple datasets,including ESC-50,UrbanSound8K,RAVDESS,and CREMA-D,with classification accuracies of 93.25%,90.91%,92.36%,and 70.50%,respectively.These results highlight the robustness and effectiveness of the proposed framework,which significantly outperforms existing approaches.By addressing critical challenges such as information loss and limited feature representation,thiswork provides newinsights and methodologies for advancing audio classification and multimodal interaction systems.
基金financially supported by China Geological Survey Project(No.DD20220954)Open Funding Project of the Key Laboratory of Groundwater Sciences and Engineering,Ministry of Natural Resources(No.SK202301-4)+2 种基金Science and Technology Innovation Foundation of Comprehensive Survey&Command Center for Natural Resources(No.KC20240003)Yanzhao Shanshui Science and Innovation Fund of Langfang Integrated Natural Resources Survey Center,China Geological Survey(No.YZSSJJ202401-001)Open Foundation of the Key Laboratory of Coupling Process and Effect of Natural Resources Elements(No.2022KFKTC009).
文摘Water scarcity and environment deterioration have become main constraints to sustainable economic and social development.Scientifically assessing Water Resources Carrying Capacity(WRCC)is essential for the optimal allocation of regional water resources.The hilly area at the northern foot of Yanshan Mountains is a key water conservation zone and an important water source for Beijing,Tianjin and Hebei.Grasping the current status and temporal trends of water quality and WRCC in representative small watersheds within this region is crucial for supporting rational water resources allocation and environment protection efforts.This study focuses on Pingquan City,a typical watershed in northern Hebei Province.Firstly,evaluation index systems for surface water quality,groundwater quality and WRCC were estab-lished based on the Pressure-State-Response(PSR)framework.Then,comprehensive evaluations of water quality and WRCC at the sub-watershed scale were conducted using the Varying Fuzzy Pattern Recogni-tion(VFPR)model.Finally,the rationality of the evaluation results was verified,and future scenarios were projected.Results showed that:(1)The average comprehensive evaluation scores for surface water and groundwater quality in the sub-watersheds were 1.44 and 1.46,respectively,indicating that both met the national Class II water quality standard and reflected a high-quality water environment.(2)From 2010 to 2020,the region's WRCC steadily improved,with scores rising from 2.99 to 2.83 and an average of 2.90,suggesting effective water resources management in Pingquan City.(3)According to scenario-based predic-tion,WRCC may slightly decline between 2025 and 2030,reaching 2.92 and 2.94,respectively,relative to 2020 levels.Therefore,future efforts should focus on strengthening scientific management and promoting the efficient use of water resources.Proactive measures are necessary to mitigate emerging contradiction and ensure the long-term stability and sustainability of the water resources system in the region.The evalua-tion system and spatiotemporal evolution patterns proposed in this study can provide a scientific basis for refined water resource management and ecological conservation in similar hilly areas.
文摘The combination of pyrolysis high resolution gas chromatography and pat- tern recognition techniques is a powerful tool for the classification of traditional Chinese drug.A study has been completed on 55 Beimu samples of five different geographic origins: Eastern China.Central China.South-western China,North-western China and North-eastern China.Principal component analysis and SIMCA are applied to effectively classifying the samples according to the origin of the plants.The chemical information contained in the high resolution gas chromatographic data is sufficient to characterize the geographic origin of sam- pies.
基金The National Natural Science Foundation of China (No70571087)the National Science Fund for Distinguished Young Scholarsof China (No70625005)
文摘The concept of the degree of similarity between interval-valued intuitionistic fuzzy sets （IVIFSs） is introduced, and some distance measures between IVIFSs are defined based on the Hamming distance, the normalized Hamming distance, the weighted Hamming distance, the Euclidean distance, the normalized Euclidean distance, and the weighted Euclidean distance, etc. Then, by combining the Hausdorff metric with the Hamming distance, the Euclidean distance and their weighted versions, two other similarity measures between IVIFSs, i. e., the weighted Hamming distance based on the Hausdorff metric and the weighted Euclidean distance based on the Hausdorff metric, are defined, and then some of their properties are studied. Finally, based on these distance measures, some similarity measures between IVIFSs are defined, and the similarity measures are applied to pattern recognitions with interval-valued intuitionistic fuzzy information.
文摘A hybrid network is presented for spatio-temporal feature detecting, which is called TS-LM-SOFM. Its top layer is a novel single layer temporal sequence recognizer called TS which can transform sparse temporal sequential pattern into abstract spatial feature representations. The bottom layer of TS-LM-SOFM, a modified self-organizing feature map, is used as a spatial feature detector. A learning matrix connects the two layers. Experiments show that the hybrid network can well capture the spatio-temporal features of input signals.
文摘Objective:To explore which pattern recognition receptors(PRRs)play a key role in the development of hand,foot,and mouth disease(HFMD)by analyzing PRR-associated genes.Methods:We conducted a comparative analysis of PRR-associated gene expression in human peripheral blood mononuclear cells(PBMCs)infected with enterovirus 71(EV-A71)which were derived from patients with HFMD of different severities and at different stages.A total of 30 PRR-associated genes were identified as significantly upregulated both over time and across different EV-A71 isolates.Subsequently,ELISA was employed to quantify the expression of the six most prominent genes among these 30 identified genes,specifically,BST2,IRF7,IFI16,TRIM21,MX1,and DDX58.Results:Compared with those at the recovery stage,the expression levels of BST2(P=0.027),IFI16(P=0.016),MX1(P=0.046)and DDX58(P=0.008)in the acute stage of infection were significantly upregulated,while no significant difference in the expression levels of IRF7(P=0.495)and TRIM21(P=0.071)was found between different stages of the disease.The expression levels of BST2,IRF7,IFI16 and MX1 were significantly higher in children infected with single pathogen than those infected with mixed pathogens,and BST2,IRF7,IFI16 and MX1 expression levels were significantly lower in coxsackie B virus(COXB)positive patients than the negative patients.Expression levels of one or more of BST2,IRF7,IFI16,TRIM21,MX1 and DDX58 genes were correlated with PCT levels,various white blood cell counts,and serum antibody levels that reflect disease course of HFMD.Aspartate aminotransferase was correlated with BST2,MX1 and DDX58 expression levels.Conclusions:PRR-associated genes likely initiate the immune response in patients at the acute stage of HFMD.
基金Item Sponsored by National Natural Science Foundation of China and Shanghai Baosteel Group Co(50675186)Provincial Natural Science Foundation of Hebei Province of China(E2006001038)
文摘For the problems occurring in a least square method model, a fuzzy model, and a neural network model for flatness pattern recognition, a fuzzy neural network model for flatness pattern recognition with only three-input and three output signals was proposed with Legendre orthodoxy polynomial as basic pattern, based on fuzzy logic expert experiential knowledge and genetic-BP hybrid optimization algorithm. The model not only had definite physical meanings in its inner nodes, but also had strong self-adaptability, anti interference ability, high recognition precision, and high velocity, thereby meeting the demand of high-precision flatness control for cold strip mill and providing a convenient, practical, and novel method for flatness pattern recognition.
基金supported in part by the National Nature Science Fundation(61174009,61203323)Youth Foundation of Hebei Province(F2016202327)+3 种基金the Colleges and Universities in Hebei Province Science and Technology Research Project(ZC2016020)supported in part by Key Project of NSFC(61533009)111 Project(B08015)Research Project(JCYJ20150403161923519)
文摘Based on the regularity nature of lower-limb motion,an intent pattern recognition approach for above-knee prosthesis is proposed in this paper. To remedy the defects of recognizer based on electromyogram(EMG), we develop a pure mechanical sensor architecture for intent pattern recognition of lower-limb motion. The sensor system is composed of an accelerometer, a gyroscope mounted on the prosthetic socket, and two pressure sensors mounted under the sole. To compensate the delay in the control of prosthesis, the signals in the stance phase are used to predict the terrain and speed in the swing phase. Specifically, the intent pattern recognizer utilizes intraclass correlation coefficient(ICC) according to the Cartesian product of walking speed and terrain. Moreover, the sensor data are fused via DempsterShafer's theory. And hidden Markov model(HMM) is used to recognize the realtime motion state with the reference of the prior step. The proposed method can infer the prosthesis user's intent of walking on different terrain, which includes level ground,stair ascent, stair descent, up and down ramp. The experiments demonstrate that the intent pattern recognizer is capable of identifying five typical terrain-modes with the rate of 95.8%. The outcome of this investigation is expected to substantially improve the control performance of powered above-knee prosthesis.
