Properties and applications of β‐glycosidase from Bacteroides thetaiotaomicron that specifically hydrolyses isoflavone glycosides

To modify the glycan part of glycosides, the gene encoding β‐glycosidase was cloned from Bacteroides thetaiotaomicron VPI‐5482. The cloned gene, bt_1780, was expressed in Escherichia coli MC1061 and the expressed enzyme was purified using Ni‐NTA affinity chromatography. The purified enzyme, BTBG, showed optimal activity at 50 °C and pH 5.5. Interestingly, this enzyme did not have any hydrolysing activity on ordinary β‐linkage–containing substrates such as xylobiose, lactose and cello‐oligosaccharide, but specifically hydrolysed isoflavone glycosides such as daidzin, genistin and glycitin. Compared to a commercial beta glucosidase, BTBG selectively hydrolysed isoflavone glycosides in soybean extract mixture solution. These results suggest that BTBG may be a specialized enzyme for the hydrolysis of glycosides and that the substrate specificity of BTBG is applicable for the bioconversion of isoflavone glycosides in the food industry.     

DVB-H移动数字电视综述

概述 自从20世纪40年代黑白广播电视问世以来，电视已走过了一个漫长的发展历程。我们经历了彩色电视与数字广播电视在画质方面的创新，以及在信号传输方式上的不断进步，如从有线到卫星再到HD等。每项新技术的推出都使电视的受欢迎程度与日俱增，并都能为观众带来更为丰富的节目内容。目前，电视正在迎来它的另一个全新的发展阶段：移动数字电视。     

EV-DO Rev.A在日本风头渐旺将盖过HSDPA

2006年8月31日,NTT DoCoMo开始在日本东京的中心地带提供HSDPA服务,NEC为该服务提供了惟一的一款终端,支持最高可达3.6Mbit/s的数据下载,这一速度10倍于以前FOMA手机可支持的速度。NTT DoCoMo的用户使用HSDPA服务,不需要支付额外的费用。这一举措使原本已经非常激烈的日本三大移动运营商之间的竞争又步入了一个新阶段。KDDI对此做出回应,宣布将在今年12月份推出世界上第一个商用的EV-DO Rev.A服务,KDDI目前已经推出了两款支持该服务的终端。K DDI过去所取得的成功在很大程度上归功于其采用了CDMA,这使得KDDI有效地将…     

Predicting Forest Age Classes from High Spatial Resolution Remotely Sensed Imagery Using Voronoi Polygon Aggregation

Efficient identification of forest age is useful for forest management and ecological applications. Here we propose a user-assisted method for determining forest age using high spatial resolution remotely sensed imagery. This method requires individual trees to be extracted from imagery and represented as points. We use a local maximum filter to generate points that are converted to Voronoi polygons. Properties of the Voronoi polygons are correlated with forest age and used to aggregate points (trees) into areas (stands) based on three forest age classes. Accuracy of the aggregation ranges from approximately 68% to 78% and identification of the mature class is more consistent and accurate than the younger classes.