This study introduces a novel method for reconstructing the 3D model of aluminum foam using cross-sectional sequence images.Combining precision milling and image acquisition,high-qual-ity cross-sectional images are ob...This study introduces a novel method for reconstructing the 3D model of aluminum foam using cross-sectional sequence images.Combining precision milling and image acquisition,high-qual-ity cross-sectional images are obtained.Pore structures are segmented by the U-shaped network(U-Net)neural network integrated with the Canny edge detection operator,ensuring accurate pore delineation and edge extraction.The trained U-Net achieves 98.55%accuracy.The 2D data are superimposed and processed into 3D point clouds,enabling reconstruction of the pore structure and aluminum skeleton.Analysis of pore 01 shows the cross-sectional area initially increases,and then decreases with milling depth,with a uniform point distribution of 40 per layer.The reconstructed model exhibits a porosity of 77.5%,with section overlap rates between the 2D pore segmentation and the reconstructed model exceeding 96%,confirming high fidelity.Equivalent sphere diameters decrease with size,averaging 1.95 mm.Compression simulations reveal that the stress-strain curve of the 3D reconstruction model of aluminum foam exhibits fluctuations,and the stresses in the reconstruction model concentrate on thin cell walls,leading to localized deformations.This method accurately restores the aluminum foam’s complex internal structure,improving reconstruction preci-sion and simulation reliability.The approach offers a cost-efficient,high-precision technique for optimizing material performance in engineering applications.展开更多
Interest has recently emerged in potential applications of(n,2n)reactions of unstable nuclei.Challenges have arisen because of the scarcity of experimental cross-sectional data.This study aims to predict the(n,2n)reac...Interest has recently emerged in potential applications of(n,2n)reactions of unstable nuclei.Challenges have arisen because of the scarcity of experimental cross-sectional data.This study aims to predict the(n,2n)reaction cross-section of long-lived fission products based on a tensor model.This tensor model is an extension of the collaborative filtering algorithm used for nuclear data.It is based on tensor decomposition and completion to predict(n,2n)reaction cross-sections;the corresponding EXFOR data are applied as training data.The reliability of the proposed tensor model was validated by comparing the calculations with data from EXFOR and different databases.Predictions were made for long-lived fission products such as^(60)Co,^(79)Se,^(93)Zr,^(107)P,^(126)Sn,and^(137)Cs,which provide a predicted energy range to effectively transmute long-lived fission products into shorter-lived or less radioactive isotopes.This method could be a powerful tool for completing(n,2n)reaction cross-sectional data and shows the possibility of selective transmutation of nuclear waste.展开更多
Dyslipidemia is a disorder where abnormally lipid concentrations circulate in the bloodstream. The disorder is common in type 2 diabetics (T2D) and is linked with T2D comorbidities, particularly cardiovascular disease...Dyslipidemia is a disorder where abnormally lipid concentrations circulate in the bloodstream. The disorder is common in type 2 diabetics (T2D) and is linked with T2D comorbidities, particularly cardiovascular disease. Dyslipidemia in T2D is typically characterized by elevated plasma triglyceride and low high-density lipoprotein cholesterol (HDL-C) levels. There is a significant gap in the literature regarding dyslipidemia in rural parts of Africa, where lipid profiles may not be captured through routine surveillance. This study aimed to characterize the prevalence and demo-graphic profile of dyslipidemia in T2D in the rural community of Ganadougou, Mali. We performed a cross-sectional study of 104 subjects with T2D in Ganadougou between November 2021 and March 2022. Demographic and lipid profiles were collected through cross-sectional surveys and serological analyses. The overall prevalence of dyslipidemia in T2D patients was 87.5% (91/104), which did not differ by sex (P = .368). High low-density lipoprotein cholesterol (LDL-C) was the most common lipid abnormality (78.9%, [82/104]). Dyslipidemia was associated with age and hypertension status (P = .013 and.036, respectively). High total and high LDL-C parameters were significantly associated with hypertension (P = .029 and .006, respectively). In low-resource settings such as rural Mali, there is a critical need to improve infrastructure for routine dyslipidemia screening to guide its prevention and intervention approaches. The high rates of dyslipidemia observed in Gandadougou, consistent with concomitant increases in cardiovascular diseases in Africa suggest that lipid profile assessments should be incorporated into routine medical care for T2D patients in African rural settings.展开更多
为研发同时预防和控制猪圆环病毒2d基因型(PCV2d)和猪伪狂犬病病毒(PRV)的疫苗,将PCV2dORF2基因克隆到含有绿色荧光蛋白(EGFP)基因的PRV转移质粒pG中BamHⅠ位点,获得重组质粒pG-PCV2d-EGFP。运用转染试剂ZLip2000将其与PRV变异株3基因...为研发同时预防和控制猪圆环病毒2d基因型(PCV2d)和猪伪狂犬病病毒(PRV)的疫苗,将PCV2dORF2基因克隆到含有绿色荧光蛋白(EGFP)基因的PRV转移质粒pG中BamHⅠ位点,获得重组质粒pG-PCV2d-EGFP。运用转染试剂ZLip2000将其与PRV变异株3基因缺失毒株gE^(-)/g^(-)/TK^(-)PRV NY DNA转入ST细胞中,经绿色荧光蚀斑纯化,得到表达EGFP的重组病毒rPRV-PCV2d-EGFP。采用CRISPR/Cas9基因双敲除质粒敲除重组病毒中EGFP基因,经蚀斑纯化,拯救出不表达EGFP的重组病毒rPRV-PCV2d。重组病毒rPRV-PCV2d与亲本株gE^(-)/g^(-)/TK^(-)PRV NY具有相近的遗传稳定性,且能够表达PCV2d衣壳(Cap)蛋白。在6周龄小鼠免疫试验中,与商品化PCV2灭活疫苗相比,rPRV-PCV2d刺激小鼠机体诱导了更高的PCV2特异性抗体,且用PCV2d强毒株攻毒后,rPRV-PCV2d显著降低了小鼠心脏、肝脏、脾脏等组织中PCV2d载量。此外,rPRV-PCV2d在小鼠体内激发PRV特异性免疫应答,并能阻止PRV强毒对小鼠的侵袭。表明rPRV-PCV2d具有良好的免疫原性。展开更多
开发了一种使用直写成型(DIW)3D打印方法制备多孔TiO_(2)光催化降解筛的成型技术,厘清了打印浆料中P25粉末、TiO_(2)前驱体溶胶和聚乙烯醇(PVA)含量对其成型性能的影响规律;进一步研究了降解筛的物相组成、微观形貌、能带结构和载流子寿...开发了一种使用直写成型(DIW)3D打印方法制备多孔TiO_(2)光催化降解筛的成型技术,厘清了打印浆料中P25粉末、TiO_(2)前驱体溶胶和聚乙烯醇(PVA)含量对其成型性能的影响规律;进一步研究了降解筛的物相组成、微观形貌、能带结构和载流子寿命,并在模拟自然光下测定了其对盐酸四环素(TC)的光催化降解性能和循环稳定性.结果表明:TiO_(2)前驱体溶胶起到了分散P25颗粒和稳定浆料的作用,而PVA的加入则进一步改善了浆料的流变性能.当使用9 g P25粉末与10 mL TiO_(2)前驱体溶胶和1 mL质量分数为7%的PVA溶液混合时,得到了具有最佳成型性能的打印浆料,制备的降解筛结构完整,无塌陷和开裂.热处理后TiO_(2)前驱体溶胶转化而来的小粒径TiO_(2)填充在P25颗粒之间,起到了增强机械强度的作用,而PVA作为造孔剂极大地丰富了降解筛的孔隙结构.TiO_(2)光催化降解筛对TC表现出优异的光催化性能和循环稳定性,140 min内的降解率为98.4%,并在5次循环之后保持96.0%的降解率.展开更多
传统的功率分配算法由于复杂的矩阵运算与迭代所造成的高时延,在实际通信中实时获取信道信息十分困难,当前重要的研究方向是在系统性能和计算复杂度之间找到有效平衡。针对终端直通(Device-to-Device,D2D)用户与蜂窝用户的联合功率分配...传统的功率分配算法由于复杂的矩阵运算与迭代所造成的高时延,在实际通信中实时获取信道信息十分困难,当前重要的研究方向是在系统性能和计算复杂度之间找到有效平衡。针对终端直通(Device-to-Device,D2D)用户与蜂窝用户的联合功率分配问题,提出一种异构功率控制图神经网络(Heterogeneous Power Control Graph Neural Network,HPCGNN)算法,旨在最大化所有用户的加权和速率。首先通过构建干扰的异构图,将信道和噪声等信息嵌入到图的节点和边;再由HPCGNN完成消息传递和更新,采用无监督学习方式优化深度神经网络(Deep Neural Network,DNN)参数,最终得到最佳的功率分配。仿真结果表明,相较于其他深度学习算法,所提算法能够有效提高系统性能,且在损失5%性能下相较分式规划(Fractional Programming,FP)能降低82%~98%的时间复杂度。展开更多
目的:总结新诊断酮症易发型2型糖尿病(ketosis-prone type 2 diabetes,KPT2D)患者的临床特点,分析其血清25-羟基维生素D(25OHD)水平与酮症发病的关系。方法:筛选纳入2021年9月至2022年12月中国人民解放军北部战区总医院内分泌科住院部...目的:总结新诊断酮症易发型2型糖尿病(ketosis-prone type 2 diabetes,KPT2D)患者的临床特点,分析其血清25-羟基维生素D(25OHD)水平与酮症发病的关系。方法:筛选纳入2021年9月至2022年12月中国人民解放军北部战区总医院内分泌科住院部收治的新诊断2型糖尿病(type 2 diabetes mellitus,T2DM)患者151例(病程≤6个月),分为酮症易发型2型糖尿病(KPT2D,n=79)和非酮症2型糖尿病(non-ketotic type 2 diabetes,NKT2D,n=72)。比较KPT2D组和NKT2D组的人群特征、生化指标、糖代谢及骨代谢指标。分析血清25OH,D水平与酮症发作的相关性,采用二元logistic回归分析新发KPT2D患者酮症发作的相关危险因素。结果:KPT2D和NKT2D患者均存在维生素D缺乏。与NKT2D组相比,KPT2D组受试者血清25OHD值较低(P<0.01)。血清25OHD与血浆酮相关(R=-0.285)。血清25OHD是新发KPT2D患者酮症或酮症酸中毒发作的独立保护因素(OR=0.887,P=0.047)。结论:KPT2D患者血清25OHD水平是其酮症发作的独立保护因素。展开更多
基金supported by the Key Research and DevelopmentPlan in Shanxi Province of China(No.201803D421045)the Natural Science Foundation of Shanxi Province(No.2021-0302-123104)。
文摘This study introduces a novel method for reconstructing the 3D model of aluminum foam using cross-sectional sequence images.Combining precision milling and image acquisition,high-qual-ity cross-sectional images are obtained.Pore structures are segmented by the U-shaped network(U-Net)neural network integrated with the Canny edge detection operator,ensuring accurate pore delineation and edge extraction.The trained U-Net achieves 98.55%accuracy.The 2D data are superimposed and processed into 3D point clouds,enabling reconstruction of the pore structure and aluminum skeleton.Analysis of pore 01 shows the cross-sectional area initially increases,and then decreases with milling depth,with a uniform point distribution of 40 per layer.The reconstructed model exhibits a porosity of 77.5%,with section overlap rates between the 2D pore segmentation and the reconstructed model exceeding 96%,confirming high fidelity.Equivalent sphere diameters decrease with size,averaging 1.95 mm.Compression simulations reveal that the stress-strain curve of the 3D reconstruction model of aluminum foam exhibits fluctuations,and the stresses in the reconstruction model concentrate on thin cell walls,leading to localized deformations.This method accurately restores the aluminum foam’s complex internal structure,improving reconstruction preci-sion and simulation reliability.The approach offers a cost-efficient,high-precision technique for optimizing material performance in engineering applications.
基金supported by the Key Laboratory of Nuclear Data foundation(No.JCKY2022201C157)。
文摘Interest has recently emerged in potential applications of(n,2n)reactions of unstable nuclei.Challenges have arisen because of the scarcity of experimental cross-sectional data.This study aims to predict the(n,2n)reaction cross-section of long-lived fission products based on a tensor model.This tensor model is an extension of the collaborative filtering algorithm used for nuclear data.It is based on tensor decomposition and completion to predict(n,2n)reaction cross-sections;the corresponding EXFOR data are applied as training data.The reliability of the proposed tensor model was validated by comparing the calculations with data from EXFOR and different databases.Predictions were made for long-lived fission products such as^(60)Co,^(79)Se,^(93)Zr,^(107)P,^(126)Sn,and^(137)Cs,which provide a predicted energy range to effectively transmute long-lived fission products into shorter-lived or less radioactive isotopes.This method could be a powerful tool for completing(n,2n)reaction cross-sectional data and shows the possibility of selective transmutation of nuclear waste.
文摘Dyslipidemia is a disorder where abnormally lipid concentrations circulate in the bloodstream. The disorder is common in type 2 diabetics (T2D) and is linked with T2D comorbidities, particularly cardiovascular disease. Dyslipidemia in T2D is typically characterized by elevated plasma triglyceride and low high-density lipoprotein cholesterol (HDL-C) levels. There is a significant gap in the literature regarding dyslipidemia in rural parts of Africa, where lipid profiles may not be captured through routine surveillance. This study aimed to characterize the prevalence and demo-graphic profile of dyslipidemia in T2D in the rural community of Ganadougou, Mali. We performed a cross-sectional study of 104 subjects with T2D in Ganadougou between November 2021 and March 2022. Demographic and lipid profiles were collected through cross-sectional surveys and serological analyses. The overall prevalence of dyslipidemia in T2D patients was 87.5% (91/104), which did not differ by sex (P = .368). High low-density lipoprotein cholesterol (LDL-C) was the most common lipid abnormality (78.9%, [82/104]). Dyslipidemia was associated with age and hypertension status (P = .013 and.036, respectively). High total and high LDL-C parameters were significantly associated with hypertension (P = .029 and .006, respectively). In low-resource settings such as rural Mali, there is a critical need to improve infrastructure for routine dyslipidemia screening to guide its prevention and intervention approaches. The high rates of dyslipidemia observed in Gandadougou, consistent with concomitant increases in cardiovascular diseases in Africa suggest that lipid profile assessments should be incorporated into routine medical care for T2D patients in African rural settings.
文摘为研发同时预防和控制猪圆环病毒2d基因型(PCV2d)和猪伪狂犬病病毒(PRV)的疫苗,将PCV2dORF2基因克隆到含有绿色荧光蛋白(EGFP)基因的PRV转移质粒pG中BamHⅠ位点,获得重组质粒pG-PCV2d-EGFP。运用转染试剂ZLip2000将其与PRV变异株3基因缺失毒株gE^(-)/g^(-)/TK^(-)PRV NY DNA转入ST细胞中,经绿色荧光蚀斑纯化,得到表达EGFP的重组病毒rPRV-PCV2d-EGFP。采用CRISPR/Cas9基因双敲除质粒敲除重组病毒中EGFP基因,经蚀斑纯化,拯救出不表达EGFP的重组病毒rPRV-PCV2d。重组病毒rPRV-PCV2d与亲本株gE^(-)/g^(-)/TK^(-)PRV NY具有相近的遗传稳定性,且能够表达PCV2d衣壳(Cap)蛋白。在6周龄小鼠免疫试验中,与商品化PCV2灭活疫苗相比,rPRV-PCV2d刺激小鼠机体诱导了更高的PCV2特异性抗体,且用PCV2d强毒株攻毒后,rPRV-PCV2d显著降低了小鼠心脏、肝脏、脾脏等组织中PCV2d载量。此外,rPRV-PCV2d在小鼠体内激发PRV特异性免疫应答,并能阻止PRV强毒对小鼠的侵袭。表明rPRV-PCV2d具有良好的免疫原性。
文摘开发了一种使用直写成型(DIW)3D打印方法制备多孔TiO_(2)光催化降解筛的成型技术,厘清了打印浆料中P25粉末、TiO_(2)前驱体溶胶和聚乙烯醇(PVA)含量对其成型性能的影响规律;进一步研究了降解筛的物相组成、微观形貌、能带结构和载流子寿命,并在模拟自然光下测定了其对盐酸四环素(TC)的光催化降解性能和循环稳定性.结果表明:TiO_(2)前驱体溶胶起到了分散P25颗粒和稳定浆料的作用,而PVA的加入则进一步改善了浆料的流变性能.当使用9 g P25粉末与10 mL TiO_(2)前驱体溶胶和1 mL质量分数为7%的PVA溶液混合时,得到了具有最佳成型性能的打印浆料,制备的降解筛结构完整,无塌陷和开裂.热处理后TiO_(2)前驱体溶胶转化而来的小粒径TiO_(2)填充在P25颗粒之间,起到了增强机械强度的作用,而PVA作为造孔剂极大地丰富了降解筛的孔隙结构.TiO_(2)光催化降解筛对TC表现出优异的光催化性能和循环稳定性,140 min内的降解率为98.4%,并在5次循环之后保持96.0%的降解率.
文摘传统的功率分配算法由于复杂的矩阵运算与迭代所造成的高时延,在实际通信中实时获取信道信息十分困难,当前重要的研究方向是在系统性能和计算复杂度之间找到有效平衡。针对终端直通(Device-to-Device,D2D)用户与蜂窝用户的联合功率分配问题,提出一种异构功率控制图神经网络(Heterogeneous Power Control Graph Neural Network,HPCGNN)算法,旨在最大化所有用户的加权和速率。首先通过构建干扰的异构图,将信道和噪声等信息嵌入到图的节点和边;再由HPCGNN完成消息传递和更新,采用无监督学习方式优化深度神经网络(Deep Neural Network,DNN)参数,最终得到最佳的功率分配。仿真结果表明,相较于其他深度学习算法,所提算法能够有效提高系统性能,且在损失5%性能下相较分式规划(Fractional Programming,FP)能降低82%~98%的时间复杂度。
文摘目的:总结新诊断酮症易发型2型糖尿病(ketosis-prone type 2 diabetes,KPT2D)患者的临床特点,分析其血清25-羟基维生素D(25OHD)水平与酮症发病的关系。方法:筛选纳入2021年9月至2022年12月中国人民解放军北部战区总医院内分泌科住院部收治的新诊断2型糖尿病(type 2 diabetes mellitus,T2DM)患者151例(病程≤6个月),分为酮症易发型2型糖尿病(KPT2D,n=79)和非酮症2型糖尿病(non-ketotic type 2 diabetes,NKT2D,n=72)。比较KPT2D组和NKT2D组的人群特征、生化指标、糖代谢及骨代谢指标。分析血清25OH,D水平与酮症发作的相关性,采用二元logistic回归分析新发KPT2D患者酮症发作的相关危险因素。结果:KPT2D和NKT2D患者均存在维生素D缺乏。与NKT2D组相比,KPT2D组受试者血清25OHD值较低(P<0.01)。血清25OHD与血浆酮相关(R=-0.285)。血清25OHD是新发KPT2D患者酮症或酮症酸中毒发作的独立保护因素(OR=0.887,P=0.047)。结论:KPT2D患者血清25OHD水平是其酮症发作的独立保护因素。
