Graph Federated Learning(GFL)has shown great potential in privacy protection and distributed intelligence through distributed collaborative training of graph-structured data without sharing raw information.However,exi...Graph Federated Learning(GFL)has shown great potential in privacy protection and distributed intelligence through distributed collaborative training of graph-structured data without sharing raw information.However,existing GFL approaches often lack the capability for comprehensive feature extraction and adaptive optimization,particularly in non-independent and identically distributed(NON-IID)scenarios where balancing global structural understanding and local node-level detail remains a challenge.To this end,this paper proposes a novel framework called GFL-SAR(Graph Federated Collaborative Learning Framework Based on Structural Amplification and Attention Refinement),which enhances the representation learning capability of graph data through a dual-branch collaborative design.Specifically,we propose the Structural Insight Amplifier(SIA),which utilizes an improved Graph Convolutional Network(GCN)to strengthen structural awareness and improve modeling of topological patterns.In parallel,we propose the Attentive Relational Refiner(ARR),which employs an enhanced Graph Attention Network(GAT)to perform fine-grained modeling of node relationships and neighborhood features,thereby improving the expressiveness of local interactions and preserving critical contextual information.GFL-SAR effectively integrates multi-scale features from every branch via feature fusion and federated optimization,thereby addressing existing GFL limitations in structural modeling and feature representation.Experiments on standard benchmark datasets including Cora,Citeseer,Polblogs,and Cora_ML demonstrate that GFL-SAR achieves superior performance in classification accuracy,convergence speed,and robustness compared to existing methods,confirming its effectiveness and generalizability in GFL tasks.展开更多
To address the inherent trade-off between mechanical strength and repair efficiency in conventional microcapsule-based self-healing technologies,this study presents an eggshell-inspired approach for fabricating high-l...To address the inherent trade-off between mechanical strength and repair efficiency in conventional microcapsule-based self-healing technologies,this study presents an eggshell-inspired approach for fabricating high-load rigid porous microcapsules(HLRPMs)through subcritical water etching.By optimizing the subcritical water treatment parameters(OH−concentration:0.031 mol/L,tem-perature:240°C,duration:1.5 h),nanoscale through-holes were generated on hollow glass microspheres(shell thickness≈700 nm).The subsequent gradient pressure infiltration of flaxseed oil enabled a record-high core content of 88.2%.Systematic investigations demonstrated that incorporating 3 wt%HLRPMs into epoxy resin composites preserved excellent dielectric properties(breakdown strength≥30 kV/mm)and enhanced tensile strength by 7.52%.In addressing multimodal damage,the system achieved a 95.5%filling efficiency for mechanical scratches,a 97.0%reduction in frictional damage depth,and a 96.2%recovery of insulation following electrical treeing.This biomimetic microcapsule system concurrently improved self-healing capability and matrix performance,offering a promising strategy for the development of next-generation smart insulating materials.展开更多
Objective:To analyze fetal renal abnormality genetic features and the prenatal characteristics of the 17q12 microdeletion syndrome.Methods:This prospective cohort study examined prenatal ultrasound findings of renal a...Objective:To analyze fetal renal abnormality genetic features and the prenatal characteristics of the 17q12 microdeletion syndrome.Methods:This prospective cohort study examined prenatal ultrasound findings of renal abnormalities in pregnant women who underwent single nucleotide polymorphism(SNP)array or copy number variation sequencing(CNV-seq)testing on amniotic fluid or fetal tissue at Tianjin Central Obstetrics and Gynecology Hospital between January 2016 and August 2022.The study cohort comprised women with advanced maternal age,fetal ultrasound anomalies,high-risk non-invasive prenatal testing results,or suspected 17q12 microdeletion syndrome.Comprehensive clinical data,including maternal age,detailed ultrasound findings,and pregnancy outcomes,were systematically collected.SNP-array analysis was conducted using an Affymetrix CytoScan 750 K Array Chip to identify CNVs and loss of heterozygosity,while CNV-seq was performed on the Illumina HiSeq 2000 platform.Detected variants were classified according to the American College of Medical Genetics and Genomics guidelines.Statistical analyses were performed using SPSS version 27.0.Results:Abnormal renal development was identified in 141 patients,among whom 26 exhibited hyperechogenic kidneys(HCK).Of these,12 cases were associated with 17q12 microdeletion syndrome,while the remaining 14 were linked to other chromosomal abnormalities.When excluding patients with HCK,those diagnosed with polycystic kidney disease demonstrated a higher prevalence of chromosomal abnormalities compared to those with multicystic dysplastic kidney and renal dysplasia.Although isolated conditions such as horseshoe kidney,hydronephrosis,ectopic kidney,and unilateral kidney typically presented with normal chromosomal findings,the incidence of chromosomal abnormalities increased when these conditions coexisted with other anomalies.A detailed analysis of the correlation between 17q12 microdeletion syndrome and HCK revealed that 12 out of the 14 patients diagnosed with 17q12 microdeletion syndrome exhibited HCK.Genetic testing confirmed the syndrome in seven patients,with five cases attributed to novel mutations and two cases resulting from inherited mutations.Conclusion:Fetal HCK was closely associated with the 17q12 microdeletion syndrome,and polycystic kidney disease showed a higher rate of chromosomal abnormalities.Chromosome test results were mostly normal in patients with other renal abnormalities,such as kidney dysplasia,horseshoe kidneys,hydronephrosis,kidney deficiency,and ectopic kidneys.Prenatal diagnosis is recommended,especially in cases of non-isolated fetal renal abnormalities.This study provides strong evidence supporting a link between fetal renal abnormalities and genetic syndromes.展开更多
基金supported by National Natural Science Foundation of China(62466045)Inner Mongolia Natural Science Foundation Project(2021LHMS06003)Inner Mongolia University Basic Research Business Fee Project(114).
文摘Graph Federated Learning(GFL)has shown great potential in privacy protection and distributed intelligence through distributed collaborative training of graph-structured data without sharing raw information.However,existing GFL approaches often lack the capability for comprehensive feature extraction and adaptive optimization,particularly in non-independent and identically distributed(NON-IID)scenarios where balancing global structural understanding and local node-level detail remains a challenge.To this end,this paper proposes a novel framework called GFL-SAR(Graph Federated Collaborative Learning Framework Based on Structural Amplification and Attention Refinement),which enhances the representation learning capability of graph data through a dual-branch collaborative design.Specifically,we propose the Structural Insight Amplifier(SIA),which utilizes an improved Graph Convolutional Network(GCN)to strengthen structural awareness and improve modeling of topological patterns.In parallel,we propose the Attentive Relational Refiner(ARR),which employs an enhanced Graph Attention Network(GAT)to perform fine-grained modeling of node relationships and neighborhood features,thereby improving the expressiveness of local interactions and preserving critical contextual information.GFL-SAR effectively integrates multi-scale features from every branch via feature fusion and federated optimization,thereby addressing existing GFL limitations in structural modeling and feature representation.Experiments on standard benchmark datasets including Cora,Citeseer,Polblogs,and Cora_ML demonstrate that GFL-SAR achieves superior performance in classification accuracy,convergence speed,and robustness compared to existing methods,confirming its effectiveness and generalizability in GFL tasks.
基金supported by the National Natural Science Foundation of China(Nos.52377133 and 52077014)the Youth Talent Support Program of Chongqing(CQYC2021058945)the General Program of the Natural Science Foundation of Chongqing Municipality(CSTB2022NSCQ-MSX0444).
文摘To address the inherent trade-off between mechanical strength and repair efficiency in conventional microcapsule-based self-healing technologies,this study presents an eggshell-inspired approach for fabricating high-load rigid porous microcapsules(HLRPMs)through subcritical water etching.By optimizing the subcritical water treatment parameters(OH−concentration:0.031 mol/L,tem-perature:240°C,duration:1.5 h),nanoscale through-holes were generated on hollow glass microspheres(shell thickness≈700 nm).The subsequent gradient pressure infiltration of flaxseed oil enabled a record-high core content of 88.2%.Systematic investigations demonstrated that incorporating 3 wt%HLRPMs into epoxy resin composites preserved excellent dielectric properties(breakdown strength≥30 kV/mm)and enhanced tensile strength by 7.52%.In addressing multimodal damage,the system achieved a 95.5%filling efficiency for mechanical scratches,a 97.0%reduction in frictional damage depth,and a 96.2%recovery of insulation following electrical treeing.This biomimetic microcapsule system concurrently improved self-healing capability and matrix performance,offering a promising strategy for the development of next-generation smart insulating materials.
基金Natural Science Foundation of Tianjin(22JCYBJC01110)Tianjin Health Research Project(TJWJ2024RC017).
文摘Objective:To analyze fetal renal abnormality genetic features and the prenatal characteristics of the 17q12 microdeletion syndrome.Methods:This prospective cohort study examined prenatal ultrasound findings of renal abnormalities in pregnant women who underwent single nucleotide polymorphism(SNP)array or copy number variation sequencing(CNV-seq)testing on amniotic fluid or fetal tissue at Tianjin Central Obstetrics and Gynecology Hospital between January 2016 and August 2022.The study cohort comprised women with advanced maternal age,fetal ultrasound anomalies,high-risk non-invasive prenatal testing results,or suspected 17q12 microdeletion syndrome.Comprehensive clinical data,including maternal age,detailed ultrasound findings,and pregnancy outcomes,were systematically collected.SNP-array analysis was conducted using an Affymetrix CytoScan 750 K Array Chip to identify CNVs and loss of heterozygosity,while CNV-seq was performed on the Illumina HiSeq 2000 platform.Detected variants were classified according to the American College of Medical Genetics and Genomics guidelines.Statistical analyses were performed using SPSS version 27.0.Results:Abnormal renal development was identified in 141 patients,among whom 26 exhibited hyperechogenic kidneys(HCK).Of these,12 cases were associated with 17q12 microdeletion syndrome,while the remaining 14 were linked to other chromosomal abnormalities.When excluding patients with HCK,those diagnosed with polycystic kidney disease demonstrated a higher prevalence of chromosomal abnormalities compared to those with multicystic dysplastic kidney and renal dysplasia.Although isolated conditions such as horseshoe kidney,hydronephrosis,ectopic kidney,and unilateral kidney typically presented with normal chromosomal findings,the incidence of chromosomal abnormalities increased when these conditions coexisted with other anomalies.A detailed analysis of the correlation between 17q12 microdeletion syndrome and HCK revealed that 12 out of the 14 patients diagnosed with 17q12 microdeletion syndrome exhibited HCK.Genetic testing confirmed the syndrome in seven patients,with five cases attributed to novel mutations and two cases resulting from inherited mutations.Conclusion:Fetal HCK was closely associated with the 17q12 microdeletion syndrome,and polycystic kidney disease showed a higher rate of chromosomal abnormalities.Chromosome test results were mostly normal in patients with other renal abnormalities,such as kidney dysplasia,horseshoe kidneys,hydronephrosis,kidney deficiency,and ectopic kidneys.Prenatal diagnosis is recommended,especially in cases of non-isolated fetal renal abnormalities.This study provides strong evidence supporting a link between fetal renal abnormalities and genetic syndromes.
