The stress-strain behavior of calcareous sand is significantly influencedby particle breakage(B)and initial relative density(Dri),but few constitutive models consider their combined effects.To bridge this gap,we condu...The stress-strain behavior of calcareous sand is significantly influencedby particle breakage(B)and initial relative density(Dri),but few constitutive models consider their combined effects.To bridge this gap,we conducted a series of triaxial tests on calcareous sand with varying Dri and stress paths,examining particle breakage and critical state behavior.Key findingsinclude:(1)At a constant stress ratio(η),B follows a hyperbolic relationship with mean effective stress(p'),and for a given p',B increases proportionally withη;(2)The critical state line(CSL)moves downward with increasing Dri,whereas the critical state friction angle(φcs)decreases with increasing B.Based on these findings,we propose a unifiedbreakage evolution model to quantify particle breakage in calcareous sand under various loading conditions.Integrating this model with the Normal Consolidation Line(NCL)and CSL equations,we successfully simulate the steepening of NCL and CSL slopes as B increases with the onset of particle breakage.Furthermore,we quantitatively evaluate the effect of B onφcs.Finally,within the framework of Critical State Soil Mechanics and Hypoplasticity theory,we develop a hypoplastic model incorporating B and Dri.The model is validated through strong agreement with experimental results across various initial relative densities,stress paths and drainage conditions.展开更多
Objective:Non-diagnostic thyroid nodules(Bethesda I)account for 5%-20%of all thyroid nodules.Accurate differentiation of benign and malignant nodules can reduce unnecessary surgeries and repeat biopsies.Herein we eval...Objective:Non-diagnostic thyroid nodules(Bethesda I)account for 5%-20%of all thyroid nodules.Accurate differentiation of benign and malignant nodules can reduce unnecessary surgeries and repeat biopsies.Herein we evaluated the diagnostic efficacy of multigene testing in non-diagnostic thyroid nodules and developed a predictive model integrating molecular and clinical data.Methods:In this prospective cohort study,1,175 patients with thyroid nodules were evaluated for inclusion,of which 218 patients with Bethesda I nodules met our inclusion criteria.The primary outcome was diagnostic accuracy of molecular testing,and the secondary outcome was the performance of a predictive model integrating molecular and clinical data.Results:Final histopathology identified 165 benign and 53 malignant nodules.Molecular testing detected 10distinct point mutations and seven gene fusions.Among benign nodules,147 tested negative and 18 tested positive,whereas 44 malignant nodules tested positive and nine tested negative.In nodules with ultrasound grades 4-5 and fine-needle aspiration cytology(FNAC)results categorized as non-diagnostic,molecular testing achieved sensitivity of 83.00%,specificity of 89.00%,positive predictive value(PPV)of 71.00%,negative predictive value(NPV)of94.20%,and overall accuracy of 87.60%.The predictive model incorporated 18 clinical and 19 molecular features.Eleven non-zero predictors were selected via least absolute shrinkage and selection operator(LASSO),and the model achieved area under curve(AUC)of 0.95 in the training set and 0.96 in the testing set.Decision curve analysis indicated greater net benefit compared with conventional diagnostic approaches.Conclusions:Molecular testing significantly improved diagnostic accuracy for Bethesda I thyroid nodules.Integrating molecular and clinical data enabled the development of a robust predictive model,facilitating precise,individualized patient management and reducing the need for repeat FNAC and unnecessary surgeries.展开更多
针对农作物害虫检测中害虫目标被遮挡、体色与环境相近等情况导致的目标检测准确率不高的问题,提出了一种基于RT-DETR的农作物害虫检测算法RT-DETR-SDIC。首先,原主干网络的前两层(S2,S3)引入多样分支残差模块(Diverse Branch Residual ...针对农作物害虫检测中害虫目标被遮挡、体色与环境相近等情况导致的目标检测准确率不高的问题,提出了一种基于RT-DETR的农作物害虫检测算法RT-DETR-SDIC。首先,原主干网络的前两层(S2,S3)引入多样分支残差模块(Diverse Branch Residual Block,DBRB),利用多分支拓扑结构以及不同规模的路径提取多尺度的特征信息,在原主干网络的后两层(S4,S5)引入了结合级联注意力的倒立残差移动模块(Invert Residual Mobile Block with Cascade Group Attention,IRMB_CGA),弥补了原主干网络中长距离语义信息无法直接交互的问题,增强了对环境特征的辨别能力;其次,在特征融合网络中,增加了无参数注意力的空间到深度融合层(Space to Depth Convolution with Attention,SPA)提取细粒度的信息,设计了内容引导融合模块(Context Guide Fusion Module,CGFM)来引导多尺度特征融合。实验结果表明模型RT-DETR-SDIC参数下降了19.6%,计算量下降了9.9%,P_(mA,0.5)上升了6.2%,P_(mA,0.5:0.95)上升了2.6%。展开更多
With the depletion of fossil fuels and increasing environmental concerns,the development of renewable energy,such as wave energy,has become a critical component of global energy strategies.However,challenges persist i...With the depletion of fossil fuels and increasing environmental concerns,the development of renewable energy,such as wave energy,has become a critical component of global energy strategies.However,challenges persist in the field testing methodologies for wave energy converters(WECs).In this paper,a numerical wave field of the Dawanshan Island Sea Area in Zhuhai City is constructed based on the MIKE21 SW wave model and by using an NCEP wind field driving model.In conjunction with the IEC-62600-100 standard,by taking site testing of the“Wanshan”wave energy converter on which a sea trial has been conducted in Dawanshan Island of Zhuhai city as an example,research on-site testing method for a wave energy converter has been carried out.The wave measurement position for the“Wanshan”converter was determined by combining statistically analyzed field data with a validated numerical wave model.By comparing a valid wave height at the position where a wave rider is located with a valid wave height at the position where the“Wanshan”wave energy converter is situated,the correlation coefficient between simulation and observed data reached 0.90,with a root-mean-square error of 0.19.The representativeness of wave measurement data during site testing is verified and can be used as a basis for calculating the input energy of the“Wanshan”wave energy converter.展开更多
目的建立一种基于叠氮溴化丙锭(Propidium monoazide,PMA)的定量反转录聚合酶链式反应(RT-qPCR)的方法,以快速检测甲型肝炎病毒(Hepatitis A virus,HAV)的感染性。方法将热灭活的HAV样品经PMA处理和曝光,通过RT-qPCR检测体系进行检测,优...目的建立一种基于叠氮溴化丙锭(Propidium monoazide,PMA)的定量反转录聚合酶链式反应(RT-qPCR)的方法,以快速检测甲型肝炎病毒(Hepatitis A virus,HAV)的感染性。方法将热灭活的HAV样品经PMA处理和曝光,通过RT-qPCR检测体系进行检测,优化PMA预处理浓度、孵育时间以及光解时间,建立甲肝病毒PMART-qPCR检测方法。以建立的检测方法对感染性病毒与灭活病毒混合样品、不同浓度的灭活病毒以及感染性病毒进行检测,评估其检测病毒感染性的效果。结果PMA-RT-qPCR检测方法的PMA浓度确定为50μmol/L,4℃避光孵育30min,光解30min。对热灭活HAV的RT-qPCR检测结果显示,PMA处理组与未处理组Ct值差异(ΔCt)>3.78;而对活病毒(10~2CCID_(50)/mL~10~7CCID_(50)/mL)的ΔCt值<0.5。该方法可最低分辨9 CCID_(50)的活病毒,在感染性病毒与灭活病毒混合物中检出最低27 CCID_(50)的活病毒。结论本研究建立的PMA-RT-qPCR无细胞培养方法为判断HAV的感染性提供了快速、便捷的检测方法。展开更多
基金support to this study from the National Natural Science Foundation of China,NSFC(Grant No.52278367)The Belt and Road Special Foundation of the National Key Laboratory ofWater Disaster Prevention(Grant No.2024nkms08).
文摘The stress-strain behavior of calcareous sand is significantly influencedby particle breakage(B)and initial relative density(Dri),but few constitutive models consider their combined effects.To bridge this gap,we conducted a series of triaxial tests on calcareous sand with varying Dri and stress paths,examining particle breakage and critical state behavior.Key findingsinclude:(1)At a constant stress ratio(η),B follows a hyperbolic relationship with mean effective stress(p'),and for a given p',B increases proportionally withη;(2)The critical state line(CSL)moves downward with increasing Dri,whereas the critical state friction angle(φcs)decreases with increasing B.Based on these findings,we propose a unifiedbreakage evolution model to quantify particle breakage in calcareous sand under various loading conditions.Integrating this model with the Normal Consolidation Line(NCL)and CSL equations,we successfully simulate the steepening of NCL and CSL slopes as B increases with the onset of particle breakage.Furthermore,we quantitatively evaluate the effect of B onφcs.Finally,within the framework of Critical State Soil Mechanics and Hypoplasticity theory,we develop a hypoplastic model incorporating B and Dri.The model is validated through strong agreement with experimental results across various initial relative densities,stress paths and drainage conditions.
基金supported by Military Key Clinical Speciality(No.51561Z23612)Chongqing Talents Project(No.cstc2022ycjh-bgzxm0091)。
文摘Objective:Non-diagnostic thyroid nodules(Bethesda I)account for 5%-20%of all thyroid nodules.Accurate differentiation of benign and malignant nodules can reduce unnecessary surgeries and repeat biopsies.Herein we evaluated the diagnostic efficacy of multigene testing in non-diagnostic thyroid nodules and developed a predictive model integrating molecular and clinical data.Methods:In this prospective cohort study,1,175 patients with thyroid nodules were evaluated for inclusion,of which 218 patients with Bethesda I nodules met our inclusion criteria.The primary outcome was diagnostic accuracy of molecular testing,and the secondary outcome was the performance of a predictive model integrating molecular and clinical data.Results:Final histopathology identified 165 benign and 53 malignant nodules.Molecular testing detected 10distinct point mutations and seven gene fusions.Among benign nodules,147 tested negative and 18 tested positive,whereas 44 malignant nodules tested positive and nine tested negative.In nodules with ultrasound grades 4-5 and fine-needle aspiration cytology(FNAC)results categorized as non-diagnostic,molecular testing achieved sensitivity of 83.00%,specificity of 89.00%,positive predictive value(PPV)of 71.00%,negative predictive value(NPV)of94.20%,and overall accuracy of 87.60%.The predictive model incorporated 18 clinical and 19 molecular features.Eleven non-zero predictors were selected via least absolute shrinkage and selection operator(LASSO),and the model achieved area under curve(AUC)of 0.95 in the training set and 0.96 in the testing set.Decision curve analysis indicated greater net benefit compared with conventional diagnostic approaches.Conclusions:Molecular testing significantly improved diagnostic accuracy for Bethesda I thyroid nodules.Integrating molecular and clinical data enabled the development of a robust predictive model,facilitating precise,individualized patient management and reducing the need for repeat FNAC and unnecessary surgeries.
文摘针对农作物害虫检测中害虫目标被遮挡、体色与环境相近等情况导致的目标检测准确率不高的问题,提出了一种基于RT-DETR的农作物害虫检测算法RT-DETR-SDIC。首先,原主干网络的前两层(S2,S3)引入多样分支残差模块(Diverse Branch Residual Block,DBRB),利用多分支拓扑结构以及不同规模的路径提取多尺度的特征信息,在原主干网络的后两层(S4,S5)引入了结合级联注意力的倒立残差移动模块(Invert Residual Mobile Block with Cascade Group Attention,IRMB_CGA),弥补了原主干网络中长距离语义信息无法直接交互的问题,增强了对环境特征的辨别能力;其次,在特征融合网络中,增加了无参数注意力的空间到深度融合层(Space to Depth Convolution with Attention,SPA)提取细粒度的信息,设计了内容引导融合模块(Context Guide Fusion Module,CGFM)来引导多尺度特征融合。实验结果表明模型RT-DETR-SDIC参数下降了19.6%,计算量下降了9.9%,P_(mA,0.5)上升了6.2%,P_(mA,0.5:0.95)上升了2.6%。
基金supported by the“National Ocean Technology Center Innovation Fund”under Project No.N3220Z002,led by Ning Jia.The official website of the National Ocean Technology Center is accessible at:http://www.notcsoa.org.cn/.
文摘With the depletion of fossil fuels and increasing environmental concerns,the development of renewable energy,such as wave energy,has become a critical component of global energy strategies.However,challenges persist in the field testing methodologies for wave energy converters(WECs).In this paper,a numerical wave field of the Dawanshan Island Sea Area in Zhuhai City is constructed based on the MIKE21 SW wave model and by using an NCEP wind field driving model.In conjunction with the IEC-62600-100 standard,by taking site testing of the“Wanshan”wave energy converter on which a sea trial has been conducted in Dawanshan Island of Zhuhai city as an example,research on-site testing method for a wave energy converter has been carried out.The wave measurement position for the“Wanshan”converter was determined by combining statistically analyzed field data with a validated numerical wave model.By comparing a valid wave height at the position where a wave rider is located with a valid wave height at the position where the“Wanshan”wave energy converter is situated,the correlation coefficient between simulation and observed data reached 0.90,with a root-mean-square error of 0.19.The representativeness of wave measurement data during site testing is verified and can be used as a basis for calculating the input energy of the“Wanshan”wave energy converter.
