Deposition of carbon nanotubes on CMOS

We demonstrate the growth of multi wall and single wall carbon nanotubes (CNT) onto substrates containing commercial 1-m CMOS integrated circuits. The low substrate temperature growth (450°C) was achieved by using hot filament (1000 °C) to preheat the source gases (C 2H 2 and NH 3) and in situ mass spe-ctroscopy was used to identify the gas species present. Field effect transistors based on Single Walled Carbon Nanotube (SWNT) grown under such conditions were fabricated and examined. CNT growth was performed directly on the passivation layer of the CMOS integrated circuits. Individual n- and p-type CMOS transistors were compared before and after CNT growth. The transistors survive and operate after the CNT growth process, although small degradations are observed in the output current (for p-transistors) and leakage current (for both p- and n-type transistors). © 2010 IEEE.

Making a shallow network deep: Conversion of a boosting classifier into a decision tree by boolean optimisation

This paper presents a novel way to speed up the evaluation time of a boosting classifier. We make a shallow (flat) network deep (hierarchical) by growing a tree from decision regions of a given boosting classifier. The tree provides many short paths for speeding up while preserving the reasonably smooth decision regions of the boosting classifier for good generalisation. For converting a boosting classifier into a decision tree, we formulate a Boolean optimization problem, which has been previously studied for circuit design but limited to a small number of binary variables. In this work, a novel optimisation method is proposed for, firstly, several tens of variables i.e. weak-learners of a boosting classifier, and then any larger number of weak-learners by using a two-stage cascade. Experiments on the synthetic and face image data sets show that the obtained tree achieves a significant speed up both over a standard boosting classifier and the Fast-exit-a previously described method for speeding-up boosting classification, at the same accuracy. The proposed method as a general meta-algorithm is also useful for a boosting cascade, where it speeds up individual stage classifiers by different gains. The proposed method is further demonstrated for fast-moving object tracking and segmentation problems. © 2011 Springer Science+Business Media, LLC.

新疆伊犁河鲫鱼遗传多样性初步研究

为了解我国西北地区野生鲫鱼的遗传多样性,鲫鱼样品从新疆伊犁河中采用小型拖网捕获。通过解剖观察性腺鉴定性别;采用碘化丙啶(PI)染色,经流式细胞仪测定血细胞核DNA含量;采用非变性聚丙烯酰胺凝胶电泳,考马斯亮蓝染色分析血清转铁蛋白多态性。结果表明:新疆伊犁河鲫鱼群体为具雌、雄的两性个体的群体;伊犁河鲫鱼血细胞核DNA平均含量为(5.315±0.215)pg/个细胞核,血细胞核DNA含量约为二倍体彩鲫DNA含量的1.53倍,与银鲫血细胞核DNA含量相当;在所采集的鲫鱼样品中共发现9种转铁蛋白表现型,由7个等位

厚颌鲂的年龄结构及生长特性

以鳞片作为鉴定年龄的材料,对龙溪河厚颌鲂(Megalobrama pellegrini)种群开展年龄结构与生长特性的研究。结果表明,厚颌鲂鳞片年轮结构呈疏密切割型,年轮特征显著,可用于年龄鉴定,3~4月是年轮形成高峰时间。种群由0~7龄共8个龄组组成,以低龄个体为主,1~3龄个体占83.14%,体长分布主要集中在130~250 mm间(77.71%)。体质量分布主要集中在50~250 g(64.33%)。群体总性比为♀∶♂=1∶1.03,符合1∶1理论比值。体长和鳞径呈直线关系,体长和体质量呈幂函数关系且