Airborne bacteria were measured when a dust storm passed Beijing in spring 2012 with a focus on cell concentration, viability and TSA- and R2A-cultured strain composition. The concentration varied at an order of 10^7 ...Airborne bacteria were measured when a dust storm passed Beijing in spring 2012 with a focus on cell concentration, viability and TSA- and R2A-cultured strain composition. The concentration varied at an order of 10^7 cells/m3 with dust loading （demonstrated with PM10） and they had a very close correlation （RT2 = 0.91, p 〈 0.01）. At the time of highest PM10 of 652 μg/m3, the bacterial concentration reached 1.4 × 10^8 cells/m3, which was larger than that before and after the dust event by one order. Bacterial viability, the ratio of number concentration of viable cells to total cells, was 32%-64% and smaller in the dust plume than that before the dust arrival. Bacterial strains from the culture ranged between 2.5 × 10^4 and 4.6 × 10^5 CFU/m3 and no correlation with PM10 was determined. Their composition was different before and after the dust arrival according to 16S rRNA gene sequences and strains belong to Actinomycetes and Firmicutes were the majority in the dust samples.展开更多
目的探讨硫酸乙酰肝素蛋白多糖在唾液腺腺样囊性癌神经侵袭过程中的表达及作用。方法通过Real time PCR技术检测硫酸乙酰肝素蛋白多糖(GPC1、GPC2、GPC3、GPC4、GPC5、GPC6、HSPG2、SDC1、SDC2、SDC3、SDC4)在腺样囊性癌细胞SACC-83细...目的探讨硫酸乙酰肝素蛋白多糖在唾液腺腺样囊性癌神经侵袭过程中的表达及作用。方法通过Real time PCR技术检测硫酸乙酰肝素蛋白多糖(GPC1、GPC2、GPC3、GPC4、GPC5、GPC6、HSPG2、SDC1、SDC2、SDC3、SDC4)在腺样囊性癌细胞SACC-83细胞与人雪旺细胞中的表达。免疫组织化学染色,检测SDC1、SDC4在腺样囊性癌伴神经侵袭肿瘤组织中的表达。结果Real time PCR结果显示,不同的硫酸乙酰肝素蛋白多糖在SACC-83细胞呈现不同的表达水平,SDC1、SDC4在SACC-83细胞中相对表达量分别是人雪旺细胞的5.49倍和2.09倍;SDC1与SDC4在腺样囊性癌肿瘤组织中呈阳性表达,其中SDC4在伴有周围神经侵袭肿瘤组织中表达高于远离神经侵袭部位表达(P<0.05)。结论硫酸乙酰肝素蛋白多糖SDC4可能参与了唾液腺腺样囊性癌的周围神经侵袭过程。展开更多
Mixed reality offers a larger visualization space and more intuitive means of interaction for data exploration,and many works have been dedicated to combining 2D visualizations on screen with mixe reality.However,for ...Mixed reality offers a larger visualization space and more intuitive means of interaction for data exploration,and many works have been dedicated to combining 2D visualizations on screen with mixe reality.However,for each combination,we need to customize the implementation of the corresponding mixed reality 3D visualization.It is a challenge to simplify this development process and enable agile building of mixed reality 3D visualizations for 2D visualizations.In addition,many existing 2D visualizations do not provide interfaces oriented to immersive analytics,so how to extend the mixed reality 3D space from existing 2D visualizations is another challenge.This work presents an agile and flexible approach to interactively transfer visualizations from 2D screens to mixed reality 3D spaces.We designed an interactive process for spatial generation of mixed-reality 3D visualizations,defined a unified data transfer framework,integrated data deconstruction techniques for 2D visualizations,implemented interfaces to immersive visualization building tool-kits,and encapsulated these techniques into a tool named X-Space.We validated that the approach is feasible and effective through 2D visualization cases including scatter plots,stacked bar charts,and adjacency matrix.Finally,we conducted expert interviews to discuss the usability and value of the method.展开更多
基金the support of the Sumitomo Environmental Foundation(103096) of 2011–2012the Grant-in-Aid for Exploratory Research of JSPS(15K12192)the National Natural Science Foundation of China(No: 31470232)
文摘Airborne bacteria were measured when a dust storm passed Beijing in spring 2012 with a focus on cell concentration, viability and TSA- and R2A-cultured strain composition. The concentration varied at an order of 10^7 cells/m3 with dust loading （demonstrated with PM10） and they had a very close correlation （RT2 = 0.91, p 〈 0.01）. At the time of highest PM10 of 652 μg/m3, the bacterial concentration reached 1.4 × 10^8 cells/m3, which was larger than that before and after the dust event by one order. Bacterial viability, the ratio of number concentration of viable cells to total cells, was 32%-64% and smaller in the dust plume than that before the dust arrival. Bacterial strains from the culture ranged between 2.5 × 10^4 and 4.6 × 10^5 CFU/m3 and no correlation with PM10 was determined. Their composition was different before and after the dust arrival according to 16S rRNA gene sequences and strains belong to Actinomycetes and Firmicutes were the majority in the dust samples.
文摘目的探讨硫酸乙酰肝素蛋白多糖在唾液腺腺样囊性癌神经侵袭过程中的表达及作用。方法通过Real time PCR技术检测硫酸乙酰肝素蛋白多糖(GPC1、GPC2、GPC3、GPC4、GPC5、GPC6、HSPG2、SDC1、SDC2、SDC3、SDC4)在腺样囊性癌细胞SACC-83细胞与人雪旺细胞中的表达。免疫组织化学染色,检测SDC1、SDC4在腺样囊性癌伴神经侵袭肿瘤组织中的表达。结果Real time PCR结果显示,不同的硫酸乙酰肝素蛋白多糖在SACC-83细胞呈现不同的表达水平,SDC1、SDC4在SACC-83细胞中相对表达量分别是人雪旺细胞的5.49倍和2.09倍;SDC1与SDC4在腺样囊性癌肿瘤组织中呈阳性表达,其中SDC4在伴有周围神经侵袭肿瘤组织中表达高于远离神经侵袭部位表达(P<0.05)。结论硫酸乙酰肝素蛋白多糖SDC4可能参与了唾液腺腺样囊性癌的周围神经侵袭过程。
基金supported by the National Natural Science Foundation of China(61702042).
文摘Mixed reality offers a larger visualization space and more intuitive means of interaction for data exploration,and many works have been dedicated to combining 2D visualizations on screen with mixe reality.However,for each combination,we need to customize the implementation of the corresponding mixed reality 3D visualization.It is a challenge to simplify this development process and enable agile building of mixed reality 3D visualizations for 2D visualizations.In addition,many existing 2D visualizations do not provide interfaces oriented to immersive analytics,so how to extend the mixed reality 3D space from existing 2D visualizations is another challenge.This work presents an agile and flexible approach to interactively transfer visualizations from 2D screens to mixed reality 3D spaces.We designed an interactive process for spatial generation of mixed-reality 3D visualizations,defined a unified data transfer framework,integrated data deconstruction techniques for 2D visualizations,implemented interfaces to immersive visualization building tool-kits,and encapsulated these techniques into a tool named X-Space.We validated that the approach is feasible and effective through 2D visualization cases including scatter plots,stacked bar charts,and adjacency matrix.Finally,we conducted expert interviews to discuss the usability and value of the method.
