The application of continuous natural fibers as reinforcement in composite thin-walled structures offers a feasible approach to achieve light weight and high strength while remaining environmentally friendly.In additi...The application of continuous natural fibers as reinforcement in composite thin-walled structures offers a feasible approach to achieve light weight and high strength while remaining environmentally friendly.In addition,additive manufacturing technology provides a favorable process foundation for its realization.In this study,the printability and energy absorption properties of 3D printed continuous fiber reinforced thin-walled structures with different configurations were investigated.The results suggested that a low printing speed and a proper layer thickness would mitigate the printing defects within the structures.The printing geometry accuracy of the structures could be further improved by rounding the sharp corners with appropriate radii.This study successfully fabricated structures with vari-ous configurations characterized by high geometric accuracy through printing parameters optimization and path smoothing.Moreover,the compressive property and energy absorption characteristics of the structures under quasi-static axial compression were evaluated and compared.It was found that all studied thin-walled structures exhibited progressive folding deformation patterns during compression.In particular,energy absorption process was achieved through the combined damage modes of plastic deformation,fiber pullout and delamination.Furthermore,the com-parison results showed that the hexagonal structure exhibited the best energy absorption performance.The study revealed the structure-mechanical property relationship of 3D printed continuous fiber reinforced composite thin-walled structures through the analysis of multiscale failure characteristics and load response,which is valuable for broadening their applications.展开更多
The role of the gut microbiome in enhancing the efficacy of anticancer treatments like chemotherapy and radiotherapy is well acknowledged.However,there is limited empirical evidence on its predictive capabilities for ...The role of the gut microbiome in enhancing the efficacy of anticancer treatments like chemotherapy and radiotherapy is well acknowledged.However,there is limited empirical evidence on its predictive capabilities for neoadjuvant immunochemotherapy(NICT)responses in esophageal squamous cell carcinoma(ESCC).Our study fills this gap by comprehensively analyzing the gut microbiome's influence on NICT outcomes.We analyzed 16S rRNA gene sequences from 136 fecal samples from 68 ESCC patients before and after NICT,along with 19 samples from healthy controls.After NICT,marked microbiome composition changes were noted,including a decrease in EScC-associated pathogens and an increase in beneficial microbes such as Limosilactobacillus,Lacticaseibacillus,and Staphylococcus.Baseline microbiota profiles effectively differentiated responders from nonresponders,with responders showing higher levels of short-chain fatty acid(SCFA)-producing bacteria such as Faecalibacterium,Eubacterium_eligens_group,Anaerostipes,and Odoribacter,and nonresponders showing increases in Veillonella,Campylobacter,Atopobium,and Trichococcus.We then divided our patient cohort into training and test sets at a 4:1 ratio and utilized the XGBoost-RFE algorithm to identify 7 key microbial biomarkers-Faecalibacterium,Subdoligranulum,Veillonella,Hungatella,Odoribacter,Butyricicoccus,and HTO02.Apredictive model was developed using LightGBM,which achieved an area under the receiver operating characteristic curve(AUC)of 86.8%[95%confidence interval(CI).73.8%to 99.4%] in the training set,76.8%(95%Cl,41.2%to 99.7%)in the validation set,and 76.5%(95%Cl,50.4%to 100%)in the testing set.Our findings underscore the gut microbiome as a novel source of biomarkers for predicting NICT responses in ESCc,highlighting its potential to enhance personalized treatment strategies and advance the integration of microbiome profiling into clinical practice for modulating cancer treatment responses.展开更多
基金Supported by National Natural Science Foundation of China(Grant Nos.51905555,52105523)Hu-Xiang Youth Talent Program of China(Grant No.2020RC3009)Innovation-Driven Project of Central South University of China(Grant No.2019CX017).
文摘The application of continuous natural fibers as reinforcement in composite thin-walled structures offers a feasible approach to achieve light weight and high strength while remaining environmentally friendly.In addition,additive manufacturing technology provides a favorable process foundation for its realization.In this study,the printability and energy absorption properties of 3D printed continuous fiber reinforced thin-walled structures with different configurations were investigated.The results suggested that a low printing speed and a proper layer thickness would mitigate the printing defects within the structures.The printing geometry accuracy of the structures could be further improved by rounding the sharp corners with appropriate radii.This study successfully fabricated structures with vari-ous configurations characterized by high geometric accuracy through printing parameters optimization and path smoothing.Moreover,the compressive property and energy absorption characteristics of the structures under quasi-static axial compression were evaluated and compared.It was found that all studied thin-walled structures exhibited progressive folding deformation patterns during compression.In particular,energy absorption process was achieved through the combined damage modes of plastic deformation,fiber pullout and delamination.Furthermore,the com-parison results showed that the hexagonal structure exhibited the best energy absorption performance.The study revealed the structure-mechanical property relationship of 3D printed continuous fiber reinforced composite thin-walled structures through the analysis of multiscale failure characteristics and load response,which is valuable for broadening their applications.
基金supported by the National Nature Science Foundation of China(nos.82303178 and 82200612)the Shenzhen Science and Technology Program(grant nos.JCYJ20220530154012028 and RCBS20221008093243060)the Guangdong Basic and Applied Basic Research Foundation(no.2021A1515110216).
文摘The role of the gut microbiome in enhancing the efficacy of anticancer treatments like chemotherapy and radiotherapy is well acknowledged.However,there is limited empirical evidence on its predictive capabilities for neoadjuvant immunochemotherapy(NICT)responses in esophageal squamous cell carcinoma(ESCC).Our study fills this gap by comprehensively analyzing the gut microbiome's influence on NICT outcomes.We analyzed 16S rRNA gene sequences from 136 fecal samples from 68 ESCC patients before and after NICT,along with 19 samples from healthy controls.After NICT,marked microbiome composition changes were noted,including a decrease in EScC-associated pathogens and an increase in beneficial microbes such as Limosilactobacillus,Lacticaseibacillus,and Staphylococcus.Baseline microbiota profiles effectively differentiated responders from nonresponders,with responders showing higher levels of short-chain fatty acid(SCFA)-producing bacteria such as Faecalibacterium,Eubacterium_eligens_group,Anaerostipes,and Odoribacter,and nonresponders showing increases in Veillonella,Campylobacter,Atopobium,and Trichococcus.We then divided our patient cohort into training and test sets at a 4:1 ratio and utilized the XGBoost-RFE algorithm to identify 7 key microbial biomarkers-Faecalibacterium,Subdoligranulum,Veillonella,Hungatella,Odoribacter,Butyricicoccus,and HTO02.Apredictive model was developed using LightGBM,which achieved an area under the receiver operating characteristic curve(AUC)of 86.8%[95%confidence interval(CI).73.8%to 99.4%] in the training set,76.8%(95%Cl,41.2%to 99.7%)in the validation set,and 76.5%(95%Cl,50.4%to 100%)in the testing set.Our findings underscore the gut microbiome as a novel source of biomarkers for predicting NICT responses in ESCc,highlighting its potential to enhance personalized treatment strategies and advance the integration of microbiome profiling into clinical practice for modulating cancer treatment responses.
