圆形截面的四边形元素网格剖分

叙述了一种对圆形截面进行网格剖分的方法。圆形截面剖分后由不同类型的元素表示,节点的创建和元素的生成依据节点和元素在圆内的位置而采用不同的方式分别生成。     

基于名义尺度的空间自相关指数测度方法研究*

从空间自相关的基本构成出发,提出了一种测度名义尺度的空间自相关指数——自邻接指数,给出了基于名义尺度下全局空间自相关和局部空间自相关的测度方法,并在ArcView平台下通过Avenue二次编程进行了算法实现。最后通过例子展示了自邻接指数在土地利用格局分析中发挥的重要作用。     

多功能Pt-Ce6纳米平台作为过氧化氢纳米酶和NIR-Ⅱ光热剂用于增强PDT/PTT肿瘤治疗

实体肿瘤的缺氧严重影响着基于氧气的光动力疗法(PDT)的效果.另外,单一治疗模式通常难以达到满意的治疗效果.为此,我们设计合成了一种多功能纳米复合材料Pt-Ce6用于克服肿瘤乏氧,实现PDT/PTT协同治疗.在该体系中,我们使用多孔Pt纳米粒子作为过氧化氢纳米酶、近红外二区(NIR-Ⅱ)光热转换剂和光敏剂二氢卟吩e6(...     

Matisse: A System-on-Chip Design Methodology Emphasizing Dynamic Memory Management

MATISSE is a design environment intended for developing systems characterized by a tight interaction between control and data-flow behavior, intensive data storage and transfer, and stringent real-time requirements. Matisse bridges the gap from a system specification, using a concurrent object-oriented language, to an optimized embedded single-chip hardware/software implementation. Matisse supports stepwise exploration and refinement of dynamic memory management, memory architecture exploration, and gradual incorporation of timing constraints before going to traditional tools for hardware synthesis, software compilation, and inter-processor communication synthesis. With this approach, specifications of embedded systems can be written in a high-level programming language using data abstraction. Application of MATISSE on telecom protocol processing systems in the ATM area shows significant improvements in area usage and power consumption.     

Low-latency and low-overhead encoder ASIC in the ATLAS LAr calorimeter trigger upgrade

In this article, an encoder Application Specific Integrated Circuit (ASIC) for high-speed serial data transmission is presented. The ASIC implements a low-latency and low-overhead line code and is fabricated with a commercial 0.25-µm Silicon-on-Sapphire CMOS technology. The ASIC operates at 640 MHz with a latency of no greater than 6.25 ns and the overhead of 14.3%. The encoder will be integrated with a serialiser and will be used in the A Toroidal LHC ApparatuS Liquid Argon (LAr) calorimeter Phase-I trigger upgrade.     

Single-Step Fast Tissue Clearing of Thick Mouse Brain Tissue for Multi-Dimensional High-Resolution Imaging

Recent advances in optical clearing techniques have dramatically improved deep tissue imaging by reducing the obscuring effects of light scattering and absorption. However, these optical clearing methods require specialized equipment or a lengthy undertaking with complex protocols that can lead to sample volume changes and distortion. In addition, the imaging of cleared tissues has limitations, such as fluorescence bleaching, harmful and foul-smelling solutions, and the difficulty of handling samples in high-viscosity refractive index (RI) matching solutions. To address the various limitations of thick tissue imaging, we developed an Aqueous high refractive Index matching and tissue Clearing solution for Imaging (termed AICI) with a one-step tissue clearing protocol that was easily made at a reasonable price in our own laboratory without any equipment. AICI can rapidly clear a 1 mm thick brain slice within 90 min with simultaneous RI matching, low viscosity, and a high refractive index (RI = 1.466), allowing the imaging of the sample without additional processing. We compared AICI with commercially available RI matching solutions, including optical clear agents (OCAs), for tissue clearing. The viscosity of AICI is closer to that of water compared with other RI matching solutions, and there was a less than 2.3% expansion in the tissue linear morphology during 24 h exposure to AICI. Moreover, AICI remained fluid over 30 days of air exposure, and the EGFP fluorescence signal was only reduced to ~65% after 10 days. AICI showed a limited clearing of brain tissue >3 mm thick. However, fine neuronal structures, such as dendritic spines and axonal boutons, could still be imaged in thick brain slices treated with AICI. Therefore, AICI is useful not only for the three-dimensional (3D) high-resolution identification of neuronal structures, but also for the examination of multiple structural imaging by neuronal distribution, projection, and gene expression in deep brain tissue. AICI is applicable beyond the imaging of fluorescent antibodies and dyes, and can clear a variety of tissue types, making it broadly useful to researchers for optical imaging applications.     

基于BP网络的油气层模式识别技术

文章介绍了如何通过A／D转化把录井参数波形转化为数字资料，并采用模式识别的方法自动识别油气层。准确地识别油层、油水同层、水层、干层等。将BP神经网络的识别方法应用于石油勘探，相比其他解释方法更科学。利用三层的前馈阶层网络对油气层自动识别，不仅缩减了工作量，而且还能精确了解解释结果。一个好的识别模型可以轻易地达到事半功倍的效果，实例证明利用BP神经网络判别油气层效果是令人满意的技术。     

太赫兹传输波导器件研究进展

随着太赫兹技术的发展,太赫兹传输波导器件的研究成为待解决的重要问题之一。太赫兹波位于微波与红外光之间,寻找高效的传输、耦合器件一直是研究人员的目标。主要介绍了太赫兹传输波导研究现状,并总结了各类型太赫兹波导的优势与不足。根据材料与结构分别对金属波导、介质波导的研究进展进行了分析。其中金属波导包括裸金属线波导、微结构波导、空芯波导以及平板波导,介质波导包括介质空芯波导、多孔芯波导以及微结构波导。最后分别对太赫兹传输波导未来需要解决的研究方向进行了展望。