Neural networks and blood cell identification

The objective of this project is to propose a method of identifying cells found in human blood and to classify them based upon their morphological features using neural networks. The project focuses on three major blood cell types, namely, erythrocytes, leukocytes and platelets. The data are collected using peripheral blood smears from clinical patients. The image acquisition requires 100x magnification on all the blood smears, the preprocessing involves the use of median and edge enhance filters; the feature extraction is done by performing the wavelet transform on the images. Finally classification of the blood cell types is done using ALOPEX and Back Propagation trained neural networks. The efficacy of both networks is then compared by comparing their outputs and number of iterations required to reach the final result.     

Evidence for interaction between transmembrane segments in assembly of Kv1.3

Previously, we showed that the N-terminal recognition domain (T1) of Kv1.3 was not required for assembly of functional channels [Tu et al. (1996) J. Biol. Chem. 271, 18904-18911]. Moreover, specific Kv1.3 peptide fragments including regions of the central core are able to inhibit expression of current produced from a channel lacking the T1 domain, Kv1.3(T1-). To elucidate the mechanism whereby Kv1.3 peptide fragments suppress Kv1.3(T1-) current, we have studied the ability of peptide fragments containing the transmembrane segments S1, S1-S2, or S1-S2-S3 to physically associate with the Kv1.3(T1-) polypeptide subunit in vitro in microsomal membranes. Using c-myc (9E10) epitope-labeled peptide fragments and anti-myc antibody as well as antisera to the Kv1.3 C-terminus, we now demonstrate specific association of these peptide fragments with Kv1.3(T1-). Association of peptide fragments with Kv1.3(T1-) was correlated with integration of both proteins into the membrane. Furthermore, the relative strength and kinetics of this association directly correlated with the ability of fragments to suppress Kv1.3(T1-) current. The rate-limiting step in the sequential synthesis, integration, and formation of a complex was the association of integrated polypeptides within the plane of the lipid bilayer. These results strongly suggest that the physical association of transmembrane segments provides the basis for suppression of K+ channel function by K+ channel peptide fragments in vivo. Moreover, the S1-S2-S3 peptide fragment potently suppressed full-length Kv1.3, thus implicating a role for the S1-S2-S3 region of Kv1.3 in the assembly of the Kv1.3 channel. We refer to these putative association sites as IMA (intramembrane association) sites.     

O—O数据模型中实体联系的表达方法

具有对实体和实体间联系的描述能力，是数据库的基本，吼是对数据库进逻辑设计的基本出发点。Ｏ－Ｏ数据模型不具备显式描术这实体联系的手段。且优于关系模型。     

改善磁盘阵列性能的方法

磁盘阵列是解决计算机Ｉ／Ｏ瓶颈问题的有效方法之一，通过对现有磁盘阵列结构的研究，提出了４种改善磁盘阵列性能的方法，即良分利用磁盘带宽，平衡多盘的负载，减少奇偶检验数据存取时间和磁盘阵列Ｃａｃｈｅ技术等，分析结果表明：在事务处理应用领域，利用Ｃａｃｈｅ来把小写转化为大写可大大改善目前一般情况下，以一道数据大小来作为磁盘的基本存取大小是合适的选择，磁盘阵列负载平衡设计不足是指正常模式下系统请求在多盘间     

氧化铝/锌合金复合材料界面的SEM观察

利用挤压铸造制备氧化铝／锌合金复合材料，在扫描电镜（ＳＥＭ）上观察复合材料的界面。结果表明，在复合材料中纤维与基体间存在致密界面层，合金元素通过适当的化学反应可改善纤维与基体间的结合；在凝固过程中，纤维／基体界面上的硅在共晶体的共生生长过程中起了领先相作用，导致复合材料的共晶转变是由铝硅共晶转变和锌铝共晶转变两者组成。     

基于Native Mode ATM API的应用系统模型及关键技术

ＡＴＭ技术作为Ｂ－ＩＳＤ的基础，在传输包括话音、图像、数据的综合业务环境中具有现有其它网络技术所不具备的技术优势，然而目前真正基于ＡＴＭＮａｔｉｖｅＭｏｄｅ的应用还很少，而大量基于Ｏｖｅｒｌａｙ Ｍｏｄｅ的ＡＴＭ应用不能充分发挥ＡＴＭ技术的优势。随着信息技术的发展，将会有大量的综合业务应用出现，它具有和传统数据通信安全不同的业务特性，必须通过一种灵活，高效的应用程序接口给予支持，本文提出基于Ｎａｔ     

输气管道天然气连续取样器的研制及应用

文章针对国内管输天然气气质分析工作中取样环节所存在的问题，结合国外技术发展趋势，全面地介绍了输气管道天然气连续取样器的研制过程。实践证明，该装置较好地解决了天然气密度值偏差问题，满足管输天然气全分析的要求，同时，该装置的推广应用将会提高天然气的计量准确度。     

6m焦炉移动设备故障分析及处理

对6m焦炉移动设备运行特点及损坏原因进行了分析，并对6m焦炉移动设备PLC系统，液压系统的故障及其处理方法进行了探讨。     

用Calyculin A诱导的染色体凝聚研究辐射的剂量效应关系

采用不同剂量（0，0.25,0.5,1.0,2.0,3.0Gy)的60Coγ射线照射离体人血，于照后46h加入CalyculinA，观察其诱导的染色体凝聚，并与常规染色体畸变法进行比较，结果表明，Calyculin A法PCC与常规秋水仙素阻滞法及融合法PCC相比可获得更高的分裂指数，Calyculin A法PCC的断片数与剂量之间呈良好的线性关系。     

BaTiO_3系PTCR热敏电阻器用烧结助剂的研究

研究了烧结助剂的作用，实验结果表明：如只引入半导化元素，不引入烧结助剂，则室温电阻率ρ２５很大，甚至是绝缘体。由于烧结助剂的加入，既改善了ＰＴＣＲ热敏电阻陶瓷的烧结性，又改善了其ρ２５、耐电压Ｖｂ、ＰＴＣ效应等特性，从而使产品的各种特性易于重复。烧结助剂昔日多用ＡＳＴ，现在常用ＳｉＯ２，其加入量ｘ宜小于２％。ＳｉＯ２的纯度、杂质等化学特性，与粒子形状、粒度分布、晶系等物理特性，对ＰＴＣＲ热敏电阻器的电性能有很大的影响。据此提出了ＢａＴｉＯ３系ＰＴＣＲ热敏电阻器用ＳｉＯ２的技术标准。