AIM:To propose a new endoscopic classification of achalasia for selecting patients appropriate for undergoing peroral endoscopic myotomy(POEM).METHODS:We screened out the data of patients with achalasia examined from ...AIM:To propose a new endoscopic classification of achalasia for selecting patients appropriate for undergoing peroral endoscopic myotomy(POEM).METHODS:We screened out the data of patients with achalasia examined from October 2000 to September 2011 at our Digestive Endoscopic Center with endoscopic pictures clear enough to reveal the morphology of middle and lower esophagus.After analyzing the correlation between the endoscopic morphology of the esophageal lumen and POEM,we proposed a new endoscopic classification(Ling classification) of achalasia according to three kinds of endoscopically viewed structures:multi-ring structure,crescent-like structure and diverticulum structure.There were three types based on the criteria of Ling classification:type Ⅰ,smooth without multi-ring,crescent-like structure or diverticulum structure;type Ⅱ,with multi-ring or crescent-like structure but without diverticulum structure;and type Ⅲ,with diverticulum structure.Type Ⅱ was classified into three subtypes:Ling Ⅱa,Ling Ⅱb and Ling Ⅱc;and type Ⅲ also had three subtypes:Ling Ⅲl,Ling Ⅲr and Ling Ⅲlr.Two endoscopists made a final decision upon mutual agreement through discussion if their separately recorded characteristics were different.RESULTS:Among the 976 screened patients with achalasia,636 patients with qualified endoscopic pictures were selected for the analysis,including 405 males and 231 females.The average age was 42.7 years,ranging from 6 to 93 years.Type Ⅰ was the most commonly observed type of achalasia,accounting for 64.5%(410/636),and type Ⅲ was the least commonly observed type of achalasia,accounting for 2.8%(18/636).And type Ⅱ accounted for 32.7%(208/636) and subtype of Ling Ⅱa,Ling Ⅱb and Ling Ⅱc accounted for 14.6%(93/636),9.9%(63/636) and 8.2%(52/636),respectively.And subtype of Ling Ⅲl,Ling Ⅲr and Ling Ⅲlr accounted for 0.8%(5/636),0.3%(2/636) and 1.7%(11/636),respectively.CONCLUSION:A new endoscopic classification of achalasia is proposed that might help in determining the proper candidates for POEM.展开更多
BACKGROUND Emerging evidence implicates Candida albicans(C.albicans)in human oncogenesis.Notably,studies have supported its involvement in regulating outcomes in colorectal cancer(CRC).This study investigated the para...BACKGROUND Emerging evidence implicates Candida albicans(C.albicans)in human oncogenesis.Notably,studies have supported its involvement in regulating outcomes in colorectal cancer(CRC).This study investigated the paradoxical role of C.albicans in CRC,aiming to determine whether it promotes or suppresses tumor development,with a focus on the mechanistic basis linked to its metabolic profile.AIM To investigate the dual role of C.albicans in the development and progression of CRC through metabolite profiling and to establish a prognostic model that integrates the microbial and metabolic interactions in CRC,providing insights into potential therapeutic strategies and clinical outcomes.METHODSA prognostic model integrating C. albicans with CRC was developed, incorporating enrichment analysis, immuneinfiltration profiling, survival analysis, Mendelian randomization, single-cell sequencing, and spatial transcriptomics.The effects of the C. albicans metabolite mixture on CRC cells were subsequently validated in vitro. Theprimary metabolite composition was characterized using liquid chromatography-mass spectrometry.RESULTSA prognostic model based on five specific mRNA markers, EHD4, LIME1, GADD45B, TIMP1, and FDFT1, wasestablished. The C. albicans metabolite mixture significantly reduced CRC cell viability. Post-treatment analysisrevealed a significant decrease in gene expression in HT29 cells, while the expression levels of TIMP1, EHD4, andGADD45B were significantly elevated in HCT116 cells. Conversely, LIME1 expression and that of other CRC celllines showed reductions. In normal colonic epithelial cells (NCM460), GADD45B, TIMP1, and FDFT1 expressionlevels were significantly increased, while LIME1 and EHD4 levels were markedly reduced. Following metabolitetreatment, the invasive and migratory capabilities of NCM460, HT29, and HCT116 cells were reduced. Quantitativeanalysis of extracellular ATP post-treatment showed a significant elevation (P < 0.01). The C. albicans metabolitemixture had no effect on reactive oxygen species accumulation in CRC cells but led to a reduction in mitochondrialmembrane potential, increased intracellular lipid peroxidation, and induced apoptosis. Metabolomic profilingrevealed significant alterations, with 516 metabolites upregulated and 531 downregulated.CONCLUSIONThis study introduced a novel prognostic model for CRC risk assessment. The findings suggested that the C.albicans metabolite mixture exerted an inhibitory effect on CRC initiation.展开更多
Purpose:Interdisciplinary research has become a critical approach to addressing complex societal,economic,technological,and environmental challenges,driving innovation and integrating scientific knowledge.While interd...Purpose:Interdisciplinary research has become a critical approach to addressing complex societal,economic,technological,and environmental challenges,driving innovation and integrating scientific knowledge.While interdisciplinarity indicators are widely used to evaluate research performance,the impact of classification granularity on these assessments remains underexplored.Design/methodology/approach:This study investigates how different levels of classification granularity-macro,meso,and micro-affect the evaluation of interdisciplinarity in research institutes.Using a dataset of 262 institutes from four major German non-university organizations(FHG,HGF,MPG,WGL)from 2018 to 2022,we examine inconsistencies in interdisciplinarity across levels,analyze ranking changes,and explore the influence of institutional fields and research focus(applied vs.basic).Findings:Our findings reveal significant inconsistencies in interdisciplinarity across classification levels,with rankings varying substantially.Notably,the Fraunhofer Society(FHG),which performs well at the macro level,experiences significant ranking declines at meso and micro levels.Normalizing interdisciplinarity by research field confirmed that these declines persist.The research focus of institutes,whether applied,basic,or mixed,does not significantly explain the observed ranking dynamics.Research limitations:This study has only considered the publication-based dimension of institutional interdisciplinarity and has not explored other aspects.Practical implications:The findings provide insights for policymakers,research managers,and scholars to better interpret interdisciplinarity metrics and support interdisciplinary research effectively.Originality/value:This study underscores the critical role of classification granularity in interdisciplinarity assessment and emphasizes the need for standardized approaches to ensure robust and fair evaluations.展开更多
The cleanliness of seed cotton plays a critical role in the pre-treatment of cotton textiles,and the removal of impurity during the harvesting process directly determines the quality and market value of cotton textile...The cleanliness of seed cotton plays a critical role in the pre-treatment of cotton textiles,and the removal of impurity during the harvesting process directly determines the quality and market value of cotton textiles.By fusing band combination optimization with deep learning,this study aims to achieve more efficient and accurate detection of film impurities in seed cotton on the production line.By applying hyperspectral imaging and a one-dimensional deep learning algorithm,we detect and classify impurities in seed cotton after harvest.The main categories detected include pure cotton,conveyor belt,film covering seed cotton,and film adhered to the conveyor belt.The proposed method achieves an impurity detection rate of 99.698%.To further ensure the feasibility and practical application potential of this strategy,we compare our results against existing mainstream methods.In addition,the model shows excellent recognition performance on pseudo-color images of real samples.With a processing time of 11.764μs per pixel from experimental data,it shows a much improved speed requirement while maintaining the accuracy of real production lines.This strategy provides an accurate and efficient method for removing impurities during cotton processing.展开更多
In the era of precision medicine,the classification of diabetes mellitus has evolved beyond the traditional categories.Various classification methods now account for a multitude of factors,including variations in spec...In the era of precision medicine,the classification of diabetes mellitus has evolved beyond the traditional categories.Various classification methods now account for a multitude of factors,including variations in specific genes,type ofβ-cell impairment,degree of insulin resistance,and clinical characteristics of metabolic profiles.Improved classification methods enable healthcare providers to formulate blood glucose management strategies more precisely.Applying these updated classification systems,will assist clinicians in further optimising treatment plans,including targeted drug therapies,personalized dietary advice,and specific exercise plans.Ultimately,this will facilitate stricter blood glucose control,minimize the risks of hypoglycaemia and hyperglycaemia,and reduce long-term complications associated with diabetes.展开更多
Lunar impact glasses have been identified as crucial indicators of geochemical information regarding their source regions. Impact glasses can be categorized as either local or exotic. Those preserving geochemical sign...Lunar impact glasses have been identified as crucial indicators of geochemical information regarding their source regions. Impact glasses can be categorized as either local or exotic. Those preserving geochemical signatures matching local lithologies (e.g., mare basalts or their single minerals) or regolith bulk soil compositions are classified as “local”. Otherwise, they could be defined as “exotic”. The analysis of exotic glasses provides the opportunity to explore previously unsampled lunar areas. This study focuses on the identification of exotic glasses within the Chang’e-5 (CE-5) soil sample by analyzing the trace elements of 28 impact glasses with distinct major element compositions in comparison with the CE-5 bulk soil. However, the results indicate that 18 of the analyzed glasses exhibit trace element compositions comparable to those of the local CE-5 materials. In particular, some of them could match the local single mineral component in major and trace elements, suggesting a local origin. Therefore, it is recommended that the investigation be expanded from using major elements to including nonvolatile trace elements, with a view to enhancing our understanding on the provenance of lunar impact glasses. To achieve a more accurate identification of exotic glasses within the CE-5 soil sample, a novel classification plot of Mg# versus La is proposed. The remaining 10 glasses, which exhibit diverse trace element variations, were identified as exotic. A comparative analysis of their chemical characteristics with remote sensing data indicates that they may have originated from the Aristarchus, Mairan, Sharp, or Pythagoras craters. This study elucidates the classification and possible provenance of exotic materials within the CE-5 soil sample, thereby providing constraints for the enhanced identification of local and exotic components at the CE-5 landing site.展开更多
Machine learning(ML)is increasingly applied for medical image processing with appropriate learning paradigms.These applications include analyzing images of various organs,such as the brain,lung,eye,etc.,to identify sp...Machine learning(ML)is increasingly applied for medical image processing with appropriate learning paradigms.These applications include analyzing images of various organs,such as the brain,lung,eye,etc.,to identify specific flaws/diseases for diagnosis.The primary concern of ML applications is the precise selection of flexible image features for pattern detection and region classification.Most of the extracted image features are irrelevant and lead to an increase in computation time.Therefore,this article uses an analytical learning paradigm to design a Congruent Feature Selection Method to select the most relevant image features.This process trains the learning paradigm using similarity and correlation-based features over different textural intensities and pixel distributions.The similarity between the pixels over the various distribution patterns with high indexes is recommended for disease diagnosis.Later,the correlation based on intensity and distribution is analyzed to improve the feature selection congruency.Therefore,the more congruent pixels are sorted in the descending order of the selection,which identifies better regions than the distribution.Now,the learning paradigm is trained using intensity and region-based similarity to maximize the chances of selection.Therefore,the probability of feature selection,regardless of the textures and medical image patterns,is improved.This process enhances the performance of ML applications for different medical image processing.The proposed method improves the accuracy,precision,and training rate by 13.19%,10.69%,and 11.06%,respectively,compared to other models for the selected dataset.The mean error and selection time is also reduced by 12.56%and 13.56%,respectively,compared to the same models and dataset.展开更多
Background: Vulvovaginal candidiasis (VVC) is a common cause of significant morbidity, affecting millions of women worldwide. It is estimated that approximately 75%of women of childbearing age will have at least one e...Background: Vulvovaginal candidiasis (VVC) is a common cause of significant morbidity, affecting millions of women worldwide. It is estimated that approximately 75%of women of childbearing age will have at least one episode of candidiasis in their lifetime. In the last decades, resistance to azoles has become a public health problem. Although studies on vulvovaginitis have been done, there is lack of VVC studies in our area. The aim of this study was to describe the etiological and resistance profiles of vulvovaginal candidiasis to standard antifungus at the Saint Camille Hospital of Ouagadougou (HOSCO), Burkina Faso. Methods: We conducted a prospective study from January 2018 to December 2022. From vulvovaginal swabs, Candida species were identified using the ChromID® Candida Agar medium and the API® Candida gallery. Antifungal susceptibility testing was performed using Kirby-Bauer agar disk diffusion. Results: A total of 4789 women were sampled. The average age of sexually active women was 27.80+/−6.77 years, with extremes ranging from 15 to 64 years. Vaginal Candida infections accounted for 74.16% of the cases. The 20 - 29 age group was the most affected by vulvovaginal candidiasis. Pregnant women accounted for 28.76% of our study population. Women in the second (2nd) trimester of pregnancy had more Candida infections. Candida albicans was the most isolated species (55.12%), followed by Candida glabrata (27.64%), Candida tropicalis (6.91%), Candida famata (6.67%), Candida krusei (2.56%). All the Candida species isolated showed very high of resistance to Fluconazole (45.2%), Miconazole (23.7%) and Clotrimazole (45.7%). Conclusion: Species-specific antifungal results should always be considered to avoid antifungal resistance associated with vulvovaginal candidiasis. Identifying the causative species using vaginal fungal cultures can help guide therapy and improve outcomes for these patients.展开更多
With the widespread use of upper gastrointestinal endoscopy,more and more gastric polyps(GPs)are being detected.Traditional management strategies often rely on histopathologic examination,which can be time-consuming a...With the widespread use of upper gastrointestinal endoscopy,more and more gastric polyps(GPs)are being detected.Traditional management strategies often rely on histopathologic examination,which can be time-consuming and may not guide immediate clinical decisions.This paper aims to introduce a novel classification system for GPs based on their potential risk of malignant transformation,categorizing them as"good","bad",and"ugly".A review of the literature and clinical case analysis were conducted to explore the clinical implications,management strategies,and the system's application in endoscopic practice.Good polyps,mainly including fundic gland polyps and inflammatory fibrous polyps,have a low risk of malignancy and typically require minimal or no intervention.Bad polyps,mainly including hyperplastic polyps and adenomas,pose an intermediate risk of malignancy,necessitating closer monitoring or removal.Ugly polyps,mainly including type 3 neuroendocrine tumors and early gastric cancer,indicate a high potential for malignancy and require urgent and comprehensive treatment.The new classification system provides a simplified and practical framework for diagnosing and managing GPs,improving diagnostic accuracy,guiding individualized treatment,and promoting advancements in endoscopic techniques.Despite some challenges,such as the risk of misclassification due to similar endoscopic appearances,this system is essential for the standardized management of GPs.It also lays the foundation for future research into biomarkers and the development of personalized medicine.展开更多
In Candida species,the endoplasmic reticulum(ER)stress response—regulated by the unfolded protein response(UPR)—serves as a critical adaptive mechanism affecting both pathogenicity and antifungal resistance.This rev...In Candida species,the endoplasmic reticulum(ER)stress response—regulated by the unfolded protein response(UPR)—serves as a critical adaptive mechanism affecting both pathogenicity and antifungal resistance.This review aims to synthesize current knowledge on ER stress pathways in Candida glabrata and Candida albicans,highlighting their species-specific adaptations and therapeutic implications.We systematically analyzed peer-reviewed literature on ER stress mechanisms in Candida,focusing on comparative studies of UPR signaling.Emphasis was placed on C.glabrata’s inositol-requiring enzyme 1(IRE1)-dependent Regulated IRE1-Dependent Decay(RIDD)pathway and C.albicans’IRE1/HAC1 and calcium-mediated pathways.Connections to virulence and drug resistance were evaluated through genetic,transcriptomic,and phenotypic evidence.Candida species employ divergent UPR strategies:C.glabrata mitigates ER stress primarily via RIDD-mediated mRNA decay to reduce protein load,while C.albicans enhances folding capacity through HAC1 splicing and calcium homeostasis.These adaptations promote survival in hostile host environments(e.g.,oxidative stress,immune attacks)and are linked to resistance against azoles and echinocandins.Pharmacological disruption of UPR components(e.g.,IRE1 inhibitors)sensitizes Candida to antifungals in experimental models.ER stress response pathways are promising targets for antifungal drug development.Understanding species-specific UPR mechanisms in Candida could guide novel therapies to overcome resistance and improve treatment outcomes.展开更多
In this study,eight different varieties of maize seeds were used as the research objects.Conduct 81 types of combined preprocessing on the original spectra.Through comparison,Savitzky-Golay(SG)-multivariate scattering...In this study,eight different varieties of maize seeds were used as the research objects.Conduct 81 types of combined preprocessing on the original spectra.Through comparison,Savitzky-Golay(SG)-multivariate scattering correction(MSC)-maximum-minimum normalization(MN)was identified as the optimal preprocessing technique.The competitive adaptive reweighted sampling(CARS),successive projections algorithm(SPA),and their combined methods were employed to extract feature wavelengths.Classification models based on back propagation(BP),support vector machine(SVM),random forest(RF),and partial least squares(PLS)were established using full-band data and feature wavelengths.Among all models,the(CARS-SPA)-BP model achieved the highest accuracy rate of 98.44%.This study offers novel insights and methodologies for the rapid and accurate identification of corn seeds as well as other crop seeds.展开更多
Objective To provide a theoretical basis for the adjustment of the registration classification of China’s biological products,and to establish a continuously improved registration classification system.Methods Based ...Objective To provide a theoretical basis for the adjustment of the registration classification of China’s biological products,and to establish a continuously improved registration classification system.Methods Based on literature research,the specific classification methods,classification principles and considerations of biological registration in China,the United States and the European Union were studied to form a complete comparative analysis.Results and Conclusion It is recommended that the division between therapeutic and preventive use should be removed from the registration classification of biologics.The therapeutic,preventive and diagnostic use of the product should be limited as part of the product specification,and the registration should be classified according to the development of biotechnology,innovation,modification and bio-similar drugs.In addition,the supervision of registration of advanced therapeutic products should be different from that of traditional biologics.展开更多
This study examined the EAG(Electroantennogram)responses of Stilpnotia candida to a mix of host plant volatiles and to provide a foundation for the development of plant-derived attractants.During the peak period of ad...This study examined the EAG(Electroantennogram)responses of Stilpnotia candida to a mix of host plant volatiles and to provide a foundation for the development of plant-derived attractants.During the peak period of adult eclosion,gas chromatography–mass spectrometry analyzed and identified the volatiles emitted by Populus×beijingensis found in Xizang.Based on the preliminary EAG experiments and the GC‒MS results,a blending scheme was developed.EAG and Y-tube-olfactometry were employed to measure the electrophysiological and behavioural responses of unmated males and females 24 h after eclosion 10 blends of volatiles derived from five host plants.The GC–MS analysis revealed 22 volatile compounds from Populus×beijingensis leaves,composed of esters,hydrocarbons,terpenoids,alcohols,phenols,and ether.The results indicated that all 10 blending schemes produced EAG responses in mature S.candida.The concentration thresholds were between 1 and 10μg·μL^(-1),above the optimal concentration,and a corresponding decrease in EAG was observed.According to intergroup comparisons,mature S.candida had more pronounced EAG responses.Under different concentrations,there were significant differences in the EAG from male and female S.candida to each blending scheme.Behavioural response tests indicated that schemes 2,7,and 8 exhibited significantly greater attractiveness to adult S.candida.The combined results from the EAG and behavioral response experiments demonstrated that unmated male and female adult S.candida have varying degrees of sensitivity to the volatile compounds from the 10 blending schemes specific to Xizangan Populus×beijingensis.Schemes 2,7,and 8 showed robust EAG responses and attractive behavioural responses to both male and female adult S.candida.展开更多
In the context of the rapid development of digital education,the security of educational data has become an increasing concern.This paper explores strategies for the classification and grading of educational data,and ...In the context of the rapid development of digital education,the security of educational data has become an increasing concern.This paper explores strategies for the classification and grading of educational data,and constructs a higher educational data security management and control model centered on the integration of medical and educational data.By implementing a multi-dimensional strategy of dynamic classification,real-time authorization,and secure execution through educational data security levels,dynamic access control is applied to effectively enhance the security and controllability of educational data,providing a secure foundation for data sharing and openness.展开更多
With increasing drug resistance,Candida infections have posed serious threats to public health.Photodynamic therapy harnesses light to destroy pathomycete,providing a smart strategy for combating of Candida infections...With increasing drug resistance,Candida infections have posed serious threats to public health.Photodynamic therapy harnesses light to destroy pathomycete,providing a smart strategy for combating of Candida infections.However,due to lack of organelle targeting ability and bad extracellular polymeric substances penetrability,current photosensitizers(PSs)are far from desirable to clean biofilms and fight against drug resistance.Herein,a mitochondrion targeting aggregationinduced emission PS,LIQ-TPA-TZ,was developed for the efficient photodynamic treatment of oral Candida infection.LIQ-TPA-TZ has good singlet oxygen and hydroxyl radical generation ability,which can efficiently kill the Candida guilliermondii(C.guilliermondii)and eradicate the biofilm.It not only causes mitochondrial damage by disruption of mitochondrial respiratory chain and oxidative stress-related gene but also inhibits fungal adhesion and filamentous growth to prevent Candida colonization,mycelia growth and biofilm formation,which is favorable for eliminating the potential drug resistance.In the mouse oropharyngeal Candida biofilm infection model,LIQ-TPA-TZ significantly eliminates infection,alleviates inflammation,and accelerates mucosal defect healing.This study provides a favorable strategy for confronting drug resistance,which may be a potential Candidate for the treatment of Candida infection.展开更多
Background:Houttuynia cordata injection(HCI),made from fresh Houttuynia cordata,exerts heat-clearing,detoxifying and diuretic effects.It is indicated for various infections including lung abscess,fever,leucorrhea,urin...Background:Houttuynia cordata injection(HCI),made from fresh Houttuynia cordata,exerts heat-clearing,detoxifying and diuretic effects.It is indicated for various infections including lung abscess,fever,leucorrhea,urinary tract infection and carbuncle.Candida albicans is a common opportunistic pathogen in immunocompromised individuals.This pathogenic fungus colonizes in skin,mucosa membrane and digestive tract,potentially progressing from localized mucosal infections to systemic disease.Methods:The minimum inhibitory concentration(MIC)of HCI against C.albicans strain was determined by the microdilution method.The hyphal status of C.albicans was observed after incubation in the liquid medium and evaluated by Gram staining.The biofilm formation ability was measured using XTT reduction assay and assessed by Calcofluor White staining.The expression of virulence-related genes was detected with quantitative RT-PCR.Results:The MIC of HCI against C.albicans strain was determined to be 0.5 g/mL.At this concentration,HCI exhibited inhibitory effects on hyphal formation,as confirmed by both liquid medium observation and Gram staining.HCI at the MIC also effectively inhibited C.albicans biofilm formation,which was verified through XTT reduction assay and Calcofluor White staining.Additionally,gene expression analysis revealed that HCI significantly suppressed the expression of virulence-related genes in C.albicans.Conclusion:HCI demonstrates inhibitory effects on C.albicans growth and biofilm development.It inhibits hyphal formation,affecting the yeast-to-hyphal transition.This study investigated the antifungal effects of HCI,providing potent experimental evidence for its mechanism of action against C.albicans.展开更多
Candida albicans(C.albicans)represents one of the most prevalent opportunistic fungal pathogens in cancer patients.Although the association between C.albicans and cancer has been recognized for decades,the causal rela...Candida albicans(C.albicans)represents one of the most prevalent opportunistic fungal pathogens in cancer patients.Although the association between C.albicans and cancer has been recognized for decades,the causal relationship,whether C.albicans infection is a consequence of cancer or a direct contributor to cancer development-remains a subject of intensive investigation.Recently,the complex interplay between microbes and cancer has garnered significant attention within the scientific community,with growing interest in elucidating the underlying molecular mechanisms.This review systematically examines the biological characteristics of C.albicans,its multifaceted interactions with the host,and its relationship with the intestinal microbiota.Additionally,it provides a comprehensive analysis of the association between C.albicans and the development of various malignancies,with particular emphasis on digestive tract cancers.The review also identifies critical knowledge gaps and apparent contradictions in existing research,highlighting potential avenues for breakthroughs that will advance the efficient and accurate screening,diagnosis,and treatment of cancer.展开更多
A reliable estimation of Candida bloodstream infection prevalence is increasingly important to track changes in Candida species distribution and define burden of ongoing candidemia.A systematic review and meta-analysi...A reliable estimation of Candida bloodstream infection prevalence is increasingly important to track changes in Candida species distribution and define burden of ongoing candidemia.A systematic review and meta-analysis were conducted to estimate candidemia prevalence and identify patterns of Candida species in South-eastern Asia.Systematic electronic-databases literature search was performed on published studies recorded candidemia prevalence in South-Eastern Asia.Using meta-analysis of proportions,the overall pooled prevalences of candidemia by Candida(C.)albicans,C.tropicalis,C.parapsilosis and C.glabrata were calculated as 28.4%(95%CI 24.9-31.8),29.2%(95%CI 24.7-33.7),19.1%(95%CI 14.8-23.4)and 14.0%(95%CI 10.4-17.5),respectively.Based on publication year and country,subgroup analyses were conducted on Candida species to determine heterogeneity source.The findings may not precisely reflect true candidemia prevalence in different countries.Therefore,it highlights continuous need to conduct prevalence studies,assess and monitor growing burden,control effect of potential risk factors and implement regional surveillance programs to prevent further rise.展开更多
A classification of multipartite entanglement is introduced for pure and mixed states.The classification is based on the distribution of entanglement between the qubits of a given system,with a mathematical framework ...A classification of multipartite entanglement is introduced for pure and mixed states.The classification is based on the distribution of entanglement between the qubits of a given system,with a mathematical framework used to characterize fully entangled states.Then we use current machine learning and deep learning techniques to automatically classify a random state of two,three,and four qubits without the need to compute the amount of the different types of entanglement in each run;rather this is done only in the learning process.The technique shows high,near-perfect,accuracy in the case of pure states.As expected,this accuracy drops,more or less,when dealing with mixed states and when increasing the number of parties involved.展开更多
Candida albicans(C.abicans),вcommon pathogenic fungus in nature,has enough cæpity to cause Severe brain infection through various mesns under immunocompromised conditions.Currently,stablishing a basic animal dis...Candida albicans(C.abicans),вcommon pathogenic fungus in nature,has enough cæpity to cause Severe brain infection through various mesns under immunocompromised conditions.Currently,stablishing a basic animal disesse model has become the main rsrch tool,which isconducive to simulat ing fungal encephalitis effectively.However,the widely used bloodbarne infection model established by intravenoOus(I.V)injection in mice usually results in systenic infecions but cannot simulate significant bradn inflammation.Here,we developed&fungal en-cephaltis model by intracerebroventriaular(L.C.V)injection af C.albicansto better simulate the significant harm und consequencEs.Compared with I.V,a greater number of colony-for ming units(CFUa)in the brain was induced following I.CV.Magnetic resonane imaging MRM resulta revesled more obvious inflammatinn in the external capsule area of the brain.Menwhile,be havioral experiments with the Y-meze also indicated that abnormal activity behavior further relected significant short-term mamory impairment after I.C.Vof C.albicans.In summary,these studies not onby provide a novel fungal encephalitis model for understanding the pathogenesis mechanism of this disease but also lay a solid foundation for future effective tretment.展开更多
文摘AIM:To propose a new endoscopic classification of achalasia for selecting patients appropriate for undergoing peroral endoscopic myotomy(POEM).METHODS:We screened out the data of patients with achalasia examined from October 2000 to September 2011 at our Digestive Endoscopic Center with endoscopic pictures clear enough to reveal the morphology of middle and lower esophagus.After analyzing the correlation between the endoscopic morphology of the esophageal lumen and POEM,we proposed a new endoscopic classification(Ling classification) of achalasia according to three kinds of endoscopically viewed structures:multi-ring structure,crescent-like structure and diverticulum structure.There were three types based on the criteria of Ling classification:type Ⅰ,smooth without multi-ring,crescent-like structure or diverticulum structure;type Ⅱ,with multi-ring or crescent-like structure but without diverticulum structure;and type Ⅲ,with diverticulum structure.Type Ⅱ was classified into three subtypes:Ling Ⅱa,Ling Ⅱb and Ling Ⅱc;and type Ⅲ also had three subtypes:Ling Ⅲl,Ling Ⅲr and Ling Ⅲlr.Two endoscopists made a final decision upon mutual agreement through discussion if their separately recorded characteristics were different.RESULTS:Among the 976 screened patients with achalasia,636 patients with qualified endoscopic pictures were selected for the analysis,including 405 males and 231 females.The average age was 42.7 years,ranging from 6 to 93 years.Type Ⅰ was the most commonly observed type of achalasia,accounting for 64.5%(410/636),and type Ⅲ was the least commonly observed type of achalasia,accounting for 2.8%(18/636).And type Ⅱ accounted for 32.7%(208/636) and subtype of Ling Ⅱa,Ling Ⅱb and Ling Ⅱc accounted for 14.6%(93/636),9.9%(63/636) and 8.2%(52/636),respectively.And subtype of Ling Ⅲl,Ling Ⅲr and Ling Ⅲlr accounted for 0.8%(5/636),0.3%(2/636) and 1.7%(11/636),respectively.CONCLUSION:A new endoscopic classification of achalasia is proposed that might help in determining the proper candidates for POEM.
基金Supported by Gansu Province Joint Fund General Program,No.24JRRA878Gansu Provincial Science and Technology Program Project,No.24JRRA1020+2 种基金Gansu Province Key Talent Program,No.2025RCXM006Teaching Research and Reform Program for Postgraduate Education at Gansu University of Traditional Chinese Medicine(GUSTCM),No.YBXM-202406Special Fund for Mentors of“Qihuang Talents”in the First-Level Discipline of Chinese Medicine,No.ZYXKBD-202415。
文摘BACKGROUND Emerging evidence implicates Candida albicans(C.albicans)in human oncogenesis.Notably,studies have supported its involvement in regulating outcomes in colorectal cancer(CRC).This study investigated the paradoxical role of C.albicans in CRC,aiming to determine whether it promotes or suppresses tumor development,with a focus on the mechanistic basis linked to its metabolic profile.AIM To investigate the dual role of C.albicans in the development and progression of CRC through metabolite profiling and to establish a prognostic model that integrates the microbial and metabolic interactions in CRC,providing insights into potential therapeutic strategies and clinical outcomes.METHODSA prognostic model integrating C. albicans with CRC was developed, incorporating enrichment analysis, immuneinfiltration profiling, survival analysis, Mendelian randomization, single-cell sequencing, and spatial transcriptomics.The effects of the C. albicans metabolite mixture on CRC cells were subsequently validated in vitro. Theprimary metabolite composition was characterized using liquid chromatography-mass spectrometry.RESULTSA prognostic model based on five specific mRNA markers, EHD4, LIME1, GADD45B, TIMP1, and FDFT1, wasestablished. The C. albicans metabolite mixture significantly reduced CRC cell viability. Post-treatment analysisrevealed a significant decrease in gene expression in HT29 cells, while the expression levels of TIMP1, EHD4, andGADD45B were significantly elevated in HCT116 cells. Conversely, LIME1 expression and that of other CRC celllines showed reductions. In normal colonic epithelial cells (NCM460), GADD45B, TIMP1, and FDFT1 expressionlevels were significantly increased, while LIME1 and EHD4 levels were markedly reduced. Following metabolitetreatment, the invasive and migratory capabilities of NCM460, HT29, and HCT116 cells were reduced. Quantitativeanalysis of extracellular ATP post-treatment showed a significant elevation (P < 0.01). The C. albicans metabolitemixture had no effect on reactive oxygen species accumulation in CRC cells but led to a reduction in mitochondrialmembrane potential, increased intracellular lipid peroxidation, and induced apoptosis. Metabolomic profilingrevealed significant alterations, with 516 metabolites upregulated and 531 downregulated.CONCLUSIONThis study introduced a novel prognostic model for CRC risk assessment. The findings suggested that the C.albicans metabolite mixture exerted an inhibitory effect on CRC initiation.
文摘Purpose:Interdisciplinary research has become a critical approach to addressing complex societal,economic,technological,and environmental challenges,driving innovation and integrating scientific knowledge.While interdisciplinarity indicators are widely used to evaluate research performance,the impact of classification granularity on these assessments remains underexplored.Design/methodology/approach:This study investigates how different levels of classification granularity-macro,meso,and micro-affect the evaluation of interdisciplinarity in research institutes.Using a dataset of 262 institutes from four major German non-university organizations(FHG,HGF,MPG,WGL)from 2018 to 2022,we examine inconsistencies in interdisciplinarity across levels,analyze ranking changes,and explore the influence of institutional fields and research focus(applied vs.basic).Findings:Our findings reveal significant inconsistencies in interdisciplinarity across classification levels,with rankings varying substantially.Notably,the Fraunhofer Society(FHG),which performs well at the macro level,experiences significant ranking declines at meso and micro levels.Normalizing interdisciplinarity by research field confirmed that these declines persist.The research focus of institutes,whether applied,basic,or mixed,does not significantly explain the observed ranking dynamics.Research limitations:This study has only considered the publication-based dimension of institutional interdisciplinarity and has not explored other aspects.Practical implications:The findings provide insights for policymakers,research managers,and scholars to better interpret interdisciplinarity metrics and support interdisciplinary research effectively.Originality/value:This study underscores the critical role of classification granularity in interdisciplinarity assessment and emphasizes the need for standardized approaches to ensure robust and fair evaluations.
基金supported in part by the Six Talent Peaks Project in Jiangsu Province under Grant 013040315in part by the China Textile Industry Federation Science and Technology Guidance Project under Grant 2017107+1 种基金in part by the National Natural Science Foundation of China under Grant 31570714in part by the China Scholarship Council under Grant 202108320290。
文摘The cleanliness of seed cotton plays a critical role in the pre-treatment of cotton textiles,and the removal of impurity during the harvesting process directly determines the quality and market value of cotton textiles.By fusing band combination optimization with deep learning,this study aims to achieve more efficient and accurate detection of film impurities in seed cotton on the production line.By applying hyperspectral imaging and a one-dimensional deep learning algorithm,we detect and classify impurities in seed cotton after harvest.The main categories detected include pure cotton,conveyor belt,film covering seed cotton,and film adhered to the conveyor belt.The proposed method achieves an impurity detection rate of 99.698%.To further ensure the feasibility and practical application potential of this strategy,we compare our results against existing mainstream methods.In addition,the model shows excellent recognition performance on pseudo-color images of real samples.With a processing time of 11.764μs per pixel from experimental data,it shows a much improved speed requirement while maintaining the accuracy of real production lines.This strategy provides an accurate and efficient method for removing impurities during cotton processing.
文摘In the era of precision medicine,the classification of diabetes mellitus has evolved beyond the traditional categories.Various classification methods now account for a multitude of factors,including variations in specific genes,type ofβ-cell impairment,degree of insulin resistance,and clinical characteristics of metabolic profiles.Improved classification methods enable healthcare providers to formulate blood glucose management strategies more precisely.Applying these updated classification systems,will assist clinicians in further optimising treatment plans,including targeted drug therapies,personalized dietary advice,and specific exercise plans.Ultimately,this will facilitate stricter blood glucose control,minimize the risks of hypoglycaemia and hyperglycaemia,and reduce long-term complications associated with diabetes.
基金funded by the National Natural Science Foundation of China (Grant Nos. 42241103 and 62227901)the Key Research Program of the Institute of Geology and Geophysics, Chinese Academy of Sciences (Grant Nos. IGGCAS-202101 and IGGCAS-202401)
文摘Lunar impact glasses have been identified as crucial indicators of geochemical information regarding their source regions. Impact glasses can be categorized as either local or exotic. Those preserving geochemical signatures matching local lithologies (e.g., mare basalts or their single minerals) or regolith bulk soil compositions are classified as “local”. Otherwise, they could be defined as “exotic”. The analysis of exotic glasses provides the opportunity to explore previously unsampled lunar areas. This study focuses on the identification of exotic glasses within the Chang’e-5 (CE-5) soil sample by analyzing the trace elements of 28 impact glasses with distinct major element compositions in comparison with the CE-5 bulk soil. However, the results indicate that 18 of the analyzed glasses exhibit trace element compositions comparable to those of the local CE-5 materials. In particular, some of them could match the local single mineral component in major and trace elements, suggesting a local origin. Therefore, it is recommended that the investigation be expanded from using major elements to including nonvolatile trace elements, with a view to enhancing our understanding on the provenance of lunar impact glasses. To achieve a more accurate identification of exotic glasses within the CE-5 soil sample, a novel classification plot of Mg# versus La is proposed. The remaining 10 glasses, which exhibit diverse trace element variations, were identified as exotic. A comparative analysis of their chemical characteristics with remote sensing data indicates that they may have originated from the Aristarchus, Mairan, Sharp, or Pythagoras craters. This study elucidates the classification and possible provenance of exotic materials within the CE-5 soil sample, thereby providing constraints for the enhanced identification of local and exotic components at the CE-5 landing site.
基金the Deanship of Scientifc Research at King Khalid University for funding this work through large group Research Project under grant number RGP2/421/45supported via funding from Prince Sattam bin Abdulaziz University project number(PSAU/2024/R/1446)+1 种基金supported by theResearchers Supporting Project Number(UM-DSR-IG-2023-07)Almaarefa University,Riyadh,Saudi Arabia.supported by the Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(No.2021R1F1A1055408).
文摘Machine learning(ML)is increasingly applied for medical image processing with appropriate learning paradigms.These applications include analyzing images of various organs,such as the brain,lung,eye,etc.,to identify specific flaws/diseases for diagnosis.The primary concern of ML applications is the precise selection of flexible image features for pattern detection and region classification.Most of the extracted image features are irrelevant and lead to an increase in computation time.Therefore,this article uses an analytical learning paradigm to design a Congruent Feature Selection Method to select the most relevant image features.This process trains the learning paradigm using similarity and correlation-based features over different textural intensities and pixel distributions.The similarity between the pixels over the various distribution patterns with high indexes is recommended for disease diagnosis.Later,the correlation based on intensity and distribution is analyzed to improve the feature selection congruency.Therefore,the more congruent pixels are sorted in the descending order of the selection,which identifies better regions than the distribution.Now,the learning paradigm is trained using intensity and region-based similarity to maximize the chances of selection.Therefore,the probability of feature selection,regardless of the textures and medical image patterns,is improved.This process enhances the performance of ML applications for different medical image processing.The proposed method improves the accuracy,precision,and training rate by 13.19%,10.69%,and 11.06%,respectively,compared to other models for the selected dataset.The mean error and selection time is also reduced by 12.56%and 13.56%,respectively,compared to the same models and dataset.
文摘Background: Vulvovaginal candidiasis (VVC) is a common cause of significant morbidity, affecting millions of women worldwide. It is estimated that approximately 75%of women of childbearing age will have at least one episode of candidiasis in their lifetime. In the last decades, resistance to azoles has become a public health problem. Although studies on vulvovaginitis have been done, there is lack of VVC studies in our area. The aim of this study was to describe the etiological and resistance profiles of vulvovaginal candidiasis to standard antifungus at the Saint Camille Hospital of Ouagadougou (HOSCO), Burkina Faso. Methods: We conducted a prospective study from January 2018 to December 2022. From vulvovaginal swabs, Candida species were identified using the ChromID® Candida Agar medium and the API® Candida gallery. Antifungal susceptibility testing was performed using Kirby-Bauer agar disk diffusion. Results: A total of 4789 women were sampled. The average age of sexually active women was 27.80+/−6.77 years, with extremes ranging from 15 to 64 years. Vaginal Candida infections accounted for 74.16% of the cases. The 20 - 29 age group was the most affected by vulvovaginal candidiasis. Pregnant women accounted for 28.76% of our study population. Women in the second (2nd) trimester of pregnancy had more Candida infections. Candida albicans was the most isolated species (55.12%), followed by Candida glabrata (27.64%), Candida tropicalis (6.91%), Candida famata (6.67%), Candida krusei (2.56%). All the Candida species isolated showed very high of resistance to Fluconazole (45.2%), Miconazole (23.7%) and Clotrimazole (45.7%). Conclusion: Species-specific antifungal results should always be considered to avoid antifungal resistance associated with vulvovaginal candidiasis. Identifying the causative species using vaginal fungal cultures can help guide therapy and improve outcomes for these patients.
文摘With the widespread use of upper gastrointestinal endoscopy,more and more gastric polyps(GPs)are being detected.Traditional management strategies often rely on histopathologic examination,which can be time-consuming and may not guide immediate clinical decisions.This paper aims to introduce a novel classification system for GPs based on their potential risk of malignant transformation,categorizing them as"good","bad",and"ugly".A review of the literature and clinical case analysis were conducted to explore the clinical implications,management strategies,and the system's application in endoscopic practice.Good polyps,mainly including fundic gland polyps and inflammatory fibrous polyps,have a low risk of malignancy and typically require minimal or no intervention.Bad polyps,mainly including hyperplastic polyps and adenomas,pose an intermediate risk of malignancy,necessitating closer monitoring or removal.Ugly polyps,mainly including type 3 neuroendocrine tumors and early gastric cancer,indicate a high potential for malignancy and require urgent and comprehensive treatment.The new classification system provides a simplified and practical framework for diagnosing and managing GPs,improving diagnostic accuracy,guiding individualized treatment,and promoting advancements in endoscopic techniques.Despite some challenges,such as the risk of misclassification due to similar endoscopic appearances,this system is essential for the standardized management of GPs.It also lays the foundation for future research into biomarkers and the development of personalized medicine.
文摘In Candida species,the endoplasmic reticulum(ER)stress response—regulated by the unfolded protein response(UPR)—serves as a critical adaptive mechanism affecting both pathogenicity and antifungal resistance.This review aims to synthesize current knowledge on ER stress pathways in Candida glabrata and Candida albicans,highlighting their species-specific adaptations and therapeutic implications.We systematically analyzed peer-reviewed literature on ER stress mechanisms in Candida,focusing on comparative studies of UPR signaling.Emphasis was placed on C.glabrata’s inositol-requiring enzyme 1(IRE1)-dependent Regulated IRE1-Dependent Decay(RIDD)pathway and C.albicans’IRE1/HAC1 and calcium-mediated pathways.Connections to virulence and drug resistance were evaluated through genetic,transcriptomic,and phenotypic evidence.Candida species employ divergent UPR strategies:C.glabrata mitigates ER stress primarily via RIDD-mediated mRNA decay to reduce protein load,while C.albicans enhances folding capacity through HAC1 splicing and calcium homeostasis.These adaptations promote survival in hostile host environments(e.g.,oxidative stress,immune attacks)and are linked to resistance against azoles and echinocandins.Pharmacological disruption of UPR components(e.g.,IRE1 inhibitors)sensitizes Candida to antifungals in experimental models.ER stress response pathways are promising targets for antifungal drug development.Understanding species-specific UPR mechanisms in Candida could guide novel therapies to overcome resistance and improve treatment outcomes.
基金supported by the Science and Technology Development Plan Project of Jilin Provincial Department of Science and Technology (No.20220203112S)the Jilin Provincial Department of Education Science and Technology Research Project (No.JJKH20210039KJ)。
文摘In this study,eight different varieties of maize seeds were used as the research objects.Conduct 81 types of combined preprocessing on the original spectra.Through comparison,Savitzky-Golay(SG)-multivariate scattering correction(MSC)-maximum-minimum normalization(MN)was identified as the optimal preprocessing technique.The competitive adaptive reweighted sampling(CARS),successive projections algorithm(SPA),and their combined methods were employed to extract feature wavelengths.Classification models based on back propagation(BP),support vector machine(SVM),random forest(RF),and partial least squares(PLS)were established using full-band data and feature wavelengths.Among all models,the(CARS-SPA)-BP model achieved the highest accuracy rate of 98.44%.This study offers novel insights and methodologies for the rapid and accurate identification of corn seeds as well as other crop seeds.
文摘Objective To provide a theoretical basis for the adjustment of the registration classification of China’s biological products,and to establish a continuously improved registration classification system.Methods Based on literature research,the specific classification methods,classification principles and considerations of biological registration in China,the United States and the European Union were studied to form a complete comparative analysis.Results and Conclusion It is recommended that the division between therapeutic and preventive use should be removed from the registration classification of biologics.The therapeutic,preventive and diagnostic use of the product should be limited as part of the product specification,and the registration should be classified according to the development of biotechnology,innovation,modification and bio-similar drugs.In addition,the supervision of registration of advanced therapeutic products should be different from that of traditional biologics.
基金supported by the Research and Development of Ecological Control Mechanisms and Application Techniques for Forest Pest and Disease in the North and South Mountains of Lhasa(No.XZ202301ZY0019N)Construction and Comprehensive Service Cap ability Enhancement of Plateau Characteristic Agricultural and Animal Husbandry Science and Technology Small Courtyard(XK202403)。
文摘This study examined the EAG(Electroantennogram)responses of Stilpnotia candida to a mix of host plant volatiles and to provide a foundation for the development of plant-derived attractants.During the peak period of adult eclosion,gas chromatography–mass spectrometry analyzed and identified the volatiles emitted by Populus×beijingensis found in Xizang.Based on the preliminary EAG experiments and the GC‒MS results,a blending scheme was developed.EAG and Y-tube-olfactometry were employed to measure the electrophysiological and behavioural responses of unmated males and females 24 h after eclosion 10 blends of volatiles derived from five host plants.The GC–MS analysis revealed 22 volatile compounds from Populus×beijingensis leaves,composed of esters,hydrocarbons,terpenoids,alcohols,phenols,and ether.The results indicated that all 10 blending schemes produced EAG responses in mature S.candida.The concentration thresholds were between 1 and 10μg·μL^(-1),above the optimal concentration,and a corresponding decrease in EAG was observed.According to intergroup comparisons,mature S.candida had more pronounced EAG responses.Under different concentrations,there were significant differences in the EAG from male and female S.candida to each blending scheme.Behavioural response tests indicated that schemes 2,7,and 8 exhibited significantly greater attractiveness to adult S.candida.The combined results from the EAG and behavioral response experiments demonstrated that unmated male and female adult S.candida have varying degrees of sensitivity to the volatile compounds from the 10 blending schemes specific to Xizangan Populus×beijingensis.Schemes 2,7,and 8 showed robust EAG responses and attractive behavioural responses to both male and female adult S.candida.
基金supported by:the 2023 Basic Public Welfare Research Project of the Wenzhou Science and Technology Bureau“Research on Multi-Source Data Classification and Grading Standards and Intelligent Algorithms for Higher Education Institutions”(Project No.G2023094)Major Humanities and Social Sciences Research Projects in Zhejiang higher education institutions(Grant/Award Number:2024QN061)2023 Basic Public Welfare Research Project of Wenzhou(No.:S2023014).
文摘In the context of the rapid development of digital education,the security of educational data has become an increasing concern.This paper explores strategies for the classification and grading of educational data,and constructs a higher educational data security management and control model centered on the integration of medical and educational data.By implementing a multi-dimensional strategy of dynamic classification,real-time authorization,and secure execution through educational data security levels,dynamic access control is applied to effectively enhance the security and controllability of educational data,providing a secure foundation for data sharing and openness.
基金supported by the National Natural Science Foundation of China(22177094)the Fundamental Research Funds for the Central Universities(YJ202419).
文摘With increasing drug resistance,Candida infections have posed serious threats to public health.Photodynamic therapy harnesses light to destroy pathomycete,providing a smart strategy for combating of Candida infections.However,due to lack of organelle targeting ability and bad extracellular polymeric substances penetrability,current photosensitizers(PSs)are far from desirable to clean biofilms and fight against drug resistance.Herein,a mitochondrion targeting aggregationinduced emission PS,LIQ-TPA-TZ,was developed for the efficient photodynamic treatment of oral Candida infection.LIQ-TPA-TZ has good singlet oxygen and hydroxyl radical generation ability,which can efficiently kill the Candida guilliermondii(C.guilliermondii)and eradicate the biofilm.It not only causes mitochondrial damage by disruption of mitochondrial respiratory chain and oxidative stress-related gene but also inhibits fungal adhesion and filamentous growth to prevent Candida colonization,mycelia growth and biofilm formation,which is favorable for eliminating the potential drug resistance.In the mouse oropharyngeal Candida biofilm infection model,LIQ-TPA-TZ significantly eliminates infection,alleviates inflammation,and accelerates mucosal defect healing.This study provides a favorable strategy for confronting drug resistance,which may be a potential Candidate for the treatment of Candida infection.
基金sponsored by the projects funded by the Natural Science Foundation(Key project)of University in Anhui province(grant numbers 2023AH050727,2023AH040114,2023AH052278).
文摘Background:Houttuynia cordata injection(HCI),made from fresh Houttuynia cordata,exerts heat-clearing,detoxifying and diuretic effects.It is indicated for various infections including lung abscess,fever,leucorrhea,urinary tract infection and carbuncle.Candida albicans is a common opportunistic pathogen in immunocompromised individuals.This pathogenic fungus colonizes in skin,mucosa membrane and digestive tract,potentially progressing from localized mucosal infections to systemic disease.Methods:The minimum inhibitory concentration(MIC)of HCI against C.albicans strain was determined by the microdilution method.The hyphal status of C.albicans was observed after incubation in the liquid medium and evaluated by Gram staining.The biofilm formation ability was measured using XTT reduction assay and assessed by Calcofluor White staining.The expression of virulence-related genes was detected with quantitative RT-PCR.Results:The MIC of HCI against C.albicans strain was determined to be 0.5 g/mL.At this concentration,HCI exhibited inhibitory effects on hyphal formation,as confirmed by both liquid medium observation and Gram staining.HCI at the MIC also effectively inhibited C.albicans biofilm formation,which was verified through XTT reduction assay and Calcofluor White staining.Additionally,gene expression analysis revealed that HCI significantly suppressed the expression of virulence-related genes in C.albicans.Conclusion:HCI demonstrates inhibitory effects on C.albicans growth and biofilm development.It inhibits hyphal formation,affecting the yeast-to-hyphal transition.This study investigated the antifungal effects of HCI,providing potent experimental evidence for its mechanism of action against C.albicans.
文摘Candida albicans(C.albicans)represents one of the most prevalent opportunistic fungal pathogens in cancer patients.Although the association between C.albicans and cancer has been recognized for decades,the causal relationship,whether C.albicans infection is a consequence of cancer or a direct contributor to cancer development-remains a subject of intensive investigation.Recently,the complex interplay between microbes and cancer has garnered significant attention within the scientific community,with growing interest in elucidating the underlying molecular mechanisms.This review systematically examines the biological characteristics of C.albicans,its multifaceted interactions with the host,and its relationship with the intestinal microbiota.Additionally,it provides a comprehensive analysis of the association between C.albicans and the development of various malignancies,with particular emphasis on digestive tract cancers.The review also identifies critical knowledge gaps and apparent contradictions in existing research,highlighting potential avenues for breakthroughs that will advance the efficient and accurate screening,diagnosis,and treatment of cancer.
文摘A reliable estimation of Candida bloodstream infection prevalence is increasingly important to track changes in Candida species distribution and define burden of ongoing candidemia.A systematic review and meta-analysis were conducted to estimate candidemia prevalence and identify patterns of Candida species in South-eastern Asia.Systematic electronic-databases literature search was performed on published studies recorded candidemia prevalence in South-Eastern Asia.Using meta-analysis of proportions,the overall pooled prevalences of candidemia by Candida(C.)albicans,C.tropicalis,C.parapsilosis and C.glabrata were calculated as 28.4%(95%CI 24.9-31.8),29.2%(95%CI 24.7-33.7),19.1%(95%CI 14.8-23.4)and 14.0%(95%CI 10.4-17.5),respectively.Based on publication year and country,subgroup analyses were conducted on Candida species to determine heterogeneity source.The findings may not precisely reflect true candidemia prevalence in different countries.Therefore,it highlights continuous need to conduct prevalence studies,assess and monitor growing burden,control effect of potential risk factors and implement regional surveillance programs to prevent further rise.
基金supported through computational resources of HPC-MARWAN(www.marwan.ma/hpc)provided by CNRST,Rabat,Morocco。
文摘A classification of multipartite entanglement is introduced for pure and mixed states.The classification is based on the distribution of entanglement between the qubits of a given system,with a mathematical framework used to characterize fully entangled states.Then we use current machine learning and deep learning techniques to automatically classify a random state of two,three,and four qubits without the need to compute the amount of the different types of entanglement in each run;rather this is done only in the learning process.The technique shows high,near-perfect,accuracy in the case of pure states.As expected,this accuracy drops,more or less,when dealing with mixed states and when increasing the number of parties involved.
基金financially supported by the ResearchInitiation Ftnd Project at Hainan University(Grant Nos.KYQD(ZR)20078 and KYQD(ZR)23179).
文摘Candida albicans(C.abicans),вcommon pathogenic fungus in nature,has enough cæpity to cause Severe brain infection through various mesns under immunocompromised conditions.Currently,stablishing a basic animal disesse model has become the main rsrch tool,which isconducive to simulat ing fungal encephalitis effectively.However,the widely used bloodbarne infection model established by intravenoOus(I.V)injection in mice usually results in systenic infecions but cannot simulate significant bradn inflammation.Here,we developed&fungal en-cephaltis model by intracerebroventriaular(L.C.V)injection af C.albicansto better simulate the significant harm und consequencEs.Compared with I.V,a greater number of colony-for ming units(CFUa)in the brain was induced following I.CV.Magnetic resonane imaging MRM resulta revesled more obvious inflammatinn in the external capsule area of the brain.Menwhile,be havioral experiments with the Y-meze also indicated that abnormal activity behavior further relected significant short-term mamory impairment after I.C.Vof C.albicans.In summary,these studies not onby provide a novel fungal encephalitis model for understanding the pathogenesis mechanism of this disease but also lay a solid foundation for future effective tretment.
