Objective: In this study, one of the objectives was to investigate the total flavonoid contents of Fupenzi (R. chingii Hu.) obtained from different regions of China and to evaluate their anatioxidant activities. And t...Objective: In this study, one of the objectives was to investigate the total flavonoid contents of Fupenzi (R. chingii Hu.) obtained from different regions of China and to evaluate their anatioxidant activities. And the second objective of this study was to develop a validated HPLC method for chromatographic fingerprints of the samples extracts of Fupenzi. Method: The total flavonoid contents were determined by a colorimetric method and the antioxidant activity was determined spectrophotometrically by DPPH and ABTS radical scavenging assays. The chromatographic fingerprint was developed by high-performance liquid chromatography coupled with diode array detection for the control of Fupenzi. Results: A significant correlation between antioxidant activity and the total flavonoid content was observed for the DPPH assay (r2 = 0.758, ρ = 0.004) and the ABTS assay (r2 = 0.788, ρ = 0.002). Under the optimized chromatographic conditions, the validated method was successfully applied to assessment of chemical fingerprinting of 12 batches of FPZ collected from different regions of China. Comparisons of the chromatograms showed that 15 characteristic peaks could be selected as markers for identification and evaluation of Fupenzi. In addition, the proposed method was also successfully applied to simultaneous determination of five compounds (including puerarin, rutin, hyperin, quercetin and kaempferol) in these samples. Conclusions: The qualitative and quantitative analysis described in this paper could be used for identification and evaluation of Fupenzi.展开更多
在基于机器视觉的智能检测领域,工件外轮廓缺陷检测需要自动提取图像中的感兴趣区域(Regions of Interest,ROI),利用Canny边缘检测算子进一步获取工件的外轮廓。为此,采用Hu不变矩计算工件最外层轮廓,并利用该方法进行缺陷检测。首先,...在基于机器视觉的智能检测领域,工件外轮廓缺陷检测需要自动提取图像中的感兴趣区域(Regions of Interest,ROI),利用Canny边缘检测算子进一步获取工件的外轮廓。为此,采用Hu不变矩计算工件最外层轮廓,并利用该方法进行缺陷检测。首先,对采集到的工件图像进行灰度化、去噪和反转二值图像等预处理。其次,计算图像外轮廓的Hu不变矩及其相似度系数。通过将计算得到的图像相似度系数与设定阈值进行比较,实现工件的缺陷检测。实验结果表明,该方法在缺陷检测方面的准确率超过90%,匹配时间保持在1000 ms以内,同时满足设计要求中的可靠性、稳定性、实时性及高检测精度。展开更多
目的建立一种液相色谱-串联质谱(liquid chromatography-tandem mass spectrometry,LC-MS/MS)方法快速、灵敏地测定大鼠血浆中Hu7691的浓度。方法大鼠血浆样本以乙腈沉淀蛋白后,选用三键键合烷基色谱柱,以0.1%甲酸水-乙腈作为流动相进...目的建立一种液相色谱-串联质谱(liquid chromatography-tandem mass spectrometry,LC-MS/MS)方法快速、灵敏地测定大鼠血浆中Hu7691的浓度。方法大鼠血浆样本以乙腈沉淀蛋白后,选用三键键合烷基色谱柱,以0.1%甲酸水-乙腈作为流动相进行梯度洗脱,选用多重反应监测扫描方式进行监测。将经验证的方法应用于Hu7691在SD大鼠体内的药动学研究。结果大鼠口服5、10、20 mg·kg^(-1)Hu7691以及静脉注射5 mg·kg^(-1)的Hu7691后,大鼠血浆中Hu7691的AUC和C_(max)随剂量的增大而增加,生物利用度分别为50.2%、62.0%、75.7%。结论表明Hu7691在大鼠体内具有较高的胃肠吸收率和稳定的药动学特性。展开更多
目的研究胸腰椎骨折患者DEXA(dual-energy X-ray absorptiometry,DEXA)所测BMD(bone mineral density,BMD)、T值(T-score)、腰椎HU值(hounsfield unit,HU)和改良VBQ(vertebral body quality,VBQ)评分的差异,并分析四者间的相关性以及BMD...目的研究胸腰椎骨折患者DEXA(dual-energy X-ray absorptiometry,DEXA)所测BMD(bone mineral density,BMD)、T值(T-score)、腰椎HU值(hounsfield unit,HU)和改良VBQ(vertebral body quality,VBQ)评分的差异,并分析四者间的相关性以及BMD、T值、腰椎HU值和改良VBQ评分在预测胸腰椎骨折的效能特点。方法收集2022年1月至2025年3月在昆明医科大学第二附属医院骨科行住院治疗的胸腰椎脆性骨折患者。将符合纳入标准的132例患者分为骨折组(n=63)与非骨折组(n=69),并分别在DEXA上记录L1~L4椎体BMD、T值,腰椎CT测量HU值,腰椎MRI(magnetic resonance imaging,MRI)测量计算VBQ评分。组间比较采用独立样本t检验,BMD、T值、HU值、改良VBQ评分四者之间的相关性采用Pearson's相关性检验,并用受试者工作曲线(receiver-operator curve,ROC)分析其预测胸腰椎骨折的效能。结果骨折组患者中L1~L4的平均BMD、T值、HU值均低于非骨折组,而改良VBQ评分高于非骨折组,两组之间均存在显著差异(P<0.001)。相关性分析中,L1~L4的BMD、T值与L1~L4 HU值呈显著正相关(P<0.001),L1~L4的BMD、T值、L1~L4HU值三者与改良VBQ评分之间呈显著负相关(P<0.001)。L1~L4平均T值、BMD、HU值和改良VBQ评分预测胸腰椎骨折的AUC值分别为0.826、0.836、0.759、0.875,其分别对应最佳阈值为T值(-1.65)、BMD(0.836)、HU值(68.4)、改良VBQ评分(3.01)。结论L1~L4椎体BMD、T值、HU值和改良VBQ评分四者之间相关性显著,都可以作为预测胸腰椎骨折效能的指标,其中改良VBQ评分预测表现最好,是良好的椎体骨质量评估辅助手段。展开更多
Hu sheep is an indigenous breed from the Taihu Lake Plain in China,known for its high fertility.Although Hu sheep belong to the Mongolian group,their demographic history and genetic architecture remain inconclusive.He...Hu sheep is an indigenous breed from the Taihu Lake Plain in China,known for its high fertility.Although Hu sheep belong to the Mongolian group,their demographic history and genetic architecture remain inconclusive.Here,we analyze 697 sheep genomes from representatives of Mongolian sheep breeds.Our study suggests that the ancestral Hu sheep first separated from the Mongolian group approximately 3000 years ago.As Hu sheep migrated from the north and flourished in the Taihu Lake Plain around 1000 years ago,they developed a unique genetic foundation and phenotypic characteristics,which are evident in the genomic footprints of selective sweeps and structural variation landscape.Genes associated with reproductive traits(BMPR1B and TDRD10)and horn phenotype(RXFP2)exhibit notable selective sweeps in the genome of Hu sheep.A genome-wide association analysis reveals that structural variations at LOC101110773,MAST2,and ZNF385B may significantly impact polledness,teat number,and early growth in Hu sheep,respectively.Our study offers insights into the evolutionary history of Hu sheep and may serve as a valuable genetic resource to enhance the understanding of complex traits in Hu sheep.展开更多
Hu Junhui,president of Tianfu Association(Singapore)and recipient of the Public Service Medal(PBM),has been leading community efforts to help new Chinese immigrants integrate into Singaporean society.Originally from H...Hu Junhui,president of Tianfu Association(Singapore)and recipient of the Public Service Medal(PBM),has been leading community efforts to help new Chinese immigrants integrate into Singaporean society.Originally from Hebei Province in China,Hu arrived in Singapore in 1994 as one of the first technical professionals dispatched by China.Since then,he has built a life and career firmly rooted in Singapore.Over more than four years at China Construction(South Pacific)Development Co Pte Ltd,he rose through the ranks from project engineer to site manager and eventually project director.In 1999,he left the company to start his own business,setting up a construction firm with several partners.His focus shifted to real estate in 2007,when he co-founded JVA Venture Pte Ltd.展开更多
文摘Objective: In this study, one of the objectives was to investigate the total flavonoid contents of Fupenzi (R. chingii Hu.) obtained from different regions of China and to evaluate their anatioxidant activities. And the second objective of this study was to develop a validated HPLC method for chromatographic fingerprints of the samples extracts of Fupenzi. Method: The total flavonoid contents were determined by a colorimetric method and the antioxidant activity was determined spectrophotometrically by DPPH and ABTS radical scavenging assays. The chromatographic fingerprint was developed by high-performance liquid chromatography coupled with diode array detection for the control of Fupenzi. Results: A significant correlation between antioxidant activity and the total flavonoid content was observed for the DPPH assay (r2 = 0.758, ρ = 0.004) and the ABTS assay (r2 = 0.788, ρ = 0.002). Under the optimized chromatographic conditions, the validated method was successfully applied to assessment of chemical fingerprinting of 12 batches of FPZ collected from different regions of China. Comparisons of the chromatograms showed that 15 characteristic peaks could be selected as markers for identification and evaluation of Fupenzi. In addition, the proposed method was also successfully applied to simultaneous determination of five compounds (including puerarin, rutin, hyperin, quercetin and kaempferol) in these samples. Conclusions: The qualitative and quantitative analysis described in this paper could be used for identification and evaluation of Fupenzi.
文摘在基于机器视觉的智能检测领域,工件外轮廓缺陷检测需要自动提取图像中的感兴趣区域(Regions of Interest,ROI),利用Canny边缘检测算子进一步获取工件的外轮廓。为此,采用Hu不变矩计算工件最外层轮廓,并利用该方法进行缺陷检测。首先,对采集到的工件图像进行灰度化、去噪和反转二值图像等预处理。其次,计算图像外轮廓的Hu不变矩及其相似度系数。通过将计算得到的图像相似度系数与设定阈值进行比较,实现工件的缺陷检测。实验结果表明,该方法在缺陷检测方面的准确率超过90%,匹配时间保持在1000 ms以内,同时满足设计要求中的可靠性、稳定性、实时性及高检测精度。
基金supported by grants from the Zhejiang Science and Technology Department Project(2023C04004)Zhejiang Science and Technology Major Program on Agricultural New Variety Breeding(2021C02068-6)+2 种基金Department of Science Technology of Huzhou City(2023GZ33)Zhejiang Team Technology Ambassador Project(Tongxiang)the National Natural Science Foundation of China(32172724).
文摘Hu sheep is an indigenous breed from the Taihu Lake Plain in China,known for its high fertility.Although Hu sheep belong to the Mongolian group,their demographic history and genetic architecture remain inconclusive.Here,we analyze 697 sheep genomes from representatives of Mongolian sheep breeds.Our study suggests that the ancestral Hu sheep first separated from the Mongolian group approximately 3000 years ago.As Hu sheep migrated from the north and flourished in the Taihu Lake Plain around 1000 years ago,they developed a unique genetic foundation and phenotypic characteristics,which are evident in the genomic footprints of selective sweeps and structural variation landscape.Genes associated with reproductive traits(BMPR1B and TDRD10)and horn phenotype(RXFP2)exhibit notable selective sweeps in the genome of Hu sheep.A genome-wide association analysis reveals that structural variations at LOC101110773,MAST2,and ZNF385B may significantly impact polledness,teat number,and early growth in Hu sheep,respectively.Our study offers insights into the evolutionary history of Hu sheep and may serve as a valuable genetic resource to enhance the understanding of complex traits in Hu sheep.
文摘Hu Junhui,president of Tianfu Association(Singapore)and recipient of the Public Service Medal(PBM),has been leading community efforts to help new Chinese immigrants integrate into Singaporean society.Originally from Hebei Province in China,Hu arrived in Singapore in 1994 as one of the first technical professionals dispatched by China.Since then,he has built a life and career firmly rooted in Singapore.Over more than four years at China Construction(South Pacific)Development Co Pte Ltd,he rose through the ranks from project engineer to site manager and eventually project director.In 1999,he left the company to start his own business,setting up a construction firm with several partners.His focus shifted to real estate in 2007,when he co-founded JVA Venture Pte Ltd.
