档案自动录入及管理系统的研究

将用特定的表格形式填写的档案信息用扫描仪扫入计算机中,通过模式识别技术进行识别处理,形成文本文件,并转换成数据库文件。用VB程序设计语言编写灵活高效的档案管理系统,从而实现档案信息高效、快速、准确地录入计算机中,消除了工作中由于人的主观因素造成的错误。

基于SolidWorks斜齿轮、蜗轮三维建模的研究

详细阐述利用VB6.0进行SolidWorks二次开发的关键技术,论述斜齿轮的三维参数化建模系统开发的具体过程,对比了不同建模方法的特点,提出齿轮三维建模误差分析的两种方法,为模型应用提供了理论指导,同时对该研究方法的拓展性应用举出实例,给出用VB开发SolidWorks一般方法。

120通信指挥系统的呼救处理子系统程序设计

随着计算机技术的发展与国民生活水平的提高，计算机管理与通信技术已被广泛应用于国民生活的各个角落。社会公共服务部门原有的管理体制与运作手段已不再适应社会发展的需要，如何改造旧体制及将新的技术应用到了人民群众的日常生活中成为计算机应用研究员的一个主要课题。120急救部门是社会基础设施的重要组成部分，直接关系到人民的健康与生命，所以实现急救部门的灵活与高效具有重要的现实意义。“120通信指挥系统”的总体目标就是实施急救工作的全程实时控制和信息处理，为指挥与抢救工作提供服务。本文以“120通信指挥系统”为背景，探讨并运用了科学的软件工程技术，力求以最优方法实现呼救处理子系统，辅助急救调度工作的有效实施。呼救处理子系统的主要用途是完成接警、调度以及用急救任务的下达。在整个处理过程中应用地理信息系统提供数字地图，并与后台数据库进行数据交互。论文中采用了第四代编程语言VB能及Client/Server技术实现接警高度过程的计算机化，并在接警过程中应用专家系统技术提供简单的病情诊断为急救工作人员的指挥调度提供依据。系统的开发为计算机技术在社会公共服务部门的应用提供了一条新思路。

多种监控系统基于CAN总线的联网设计

介绍了基于CAN总线的多种监控系统联网设计,该设计应用DDE(动态数据交换)技术实现VB程序与多种组态软件开发的SCADA系统的数据交换,通过调用动态链接库函数完成总线的数据通信,从而搭建了工业现场的信息化管理平台.

三峡库区堆积层斜坡稳定性分级与应用研究

Considering the lacking of standard for the classification of Accumulative slopes so far, research working was conducted based on the results of geological investigation, data analysis and experiment carried out in Wanzhou. By mean of statistical method and grey system, the author studied in detail inflationary factors to Accumulative slopes. In order to study the mechanism of Rock-Soil Aggregate (RSA), numerical testing method was used. Coordinates in the two and three dimensional space and its corresponding rock fragments in the sample were generated randomly by VB and Particle flow code. After being built the models of RSA with different rock content, uniaxial and triaxial numerical simulation tests were carried out respectively. In order to study the effect of rainfall in Accumulative slopes, in situ infiltration testing had been conducted on site in Wanzhou, Three Gorges Area. Relationship between the infiltration rate and amount of precipitation has been obtained. Eleven factors are considered in the classification of Accumulative slopes in this paper.(1)On the basis of four basic factors and four inducing factors, sum-and-difference method for the classification system has been built. (2)After weight of factors being determined by analytic hierarchy process and membership function of Accumulative slopes stability being built in virtue of fuzzy mathematics, AHP-FM model of Accumulative slopes stability has been completed. In the end of this paper, having been applied on stability of Accumulative slopes in Three Gorge area and compared with result by limit equilibrium, classification system has good effect.

地理信息系统（GIS）在汞生物地球化学研究中的应用——贵州省汞地球化学数据库的建立及贵阳市土壤年释汞通量的估算

汞污染是全球性的环境问题.从20世纪50年代日本水俣湾汞中毒事件,到最近十年来,在北美及欧洲偏远地区的湖泊中发现鱼体汞含量超标,汞污染的研究一直受到人们的重视,是世界环境污染研究的热点之一.随着对全球汞生物地球化学循环研究工作的不断加深,对其的研究难度逐渐增加,以往单一的研究方法已难见成效.越来越多的研究者认识到,只有将地学领域中采用不同研究方法(地质、地球物理和地球化学等方法)所得到的信息,进行综合分析研究,才能更清楚的了解全球汞的生物地球化学循环.近年来计算机技术的发展,特别是GIS技术的出现,使得这一设想成为现实.地理信息系统(GIS),在一个灵活的空间数据管理环境中,将从不同方面采集、存储和分析的数据提供给用户.用户利用GIS数据中的各种相关的空间或非空间信息,进行各种综合分析研究,从而对全球汞的生物地球化学循环提出新的认识和作出科学的论断.该文偿试将地理信息系统应用在汞的生物地球化学循环研究中.论文的主要内容包括以下两部分:1)地理信息系统的核心是空间数据库,该文建立了贵州省汞地球化学数据库.应用ArcGIS中的MapObjects控件和VB技术相结合开发的贵州省汞地球化学数据库,既能充分发挥管理的优势,又能快速产生友好用户界面,具有快捷、方便、高效等特点.该数据库为贵州省汞地球化学循环研究提供了空间数据管理功能,不仅可以存储大量的空间数据和属性数据,还可以进行空间数据输入、浏览、查询、删除和输出及属性表数据的查询、分析和输出.贵州省汞地球化学数据库为政府决策部门提供了环境监测数据和决策支持系统,也有利于世界范围内汞地球化学研究数据的交流.2)应用贵州省汞地球化学数据库中的贵阳市土壤汞含量数据图,结合贵阳市土壤一大气汞交换通量数据,用多元回归的方法对贵阳市土壤向大气年排汞量进行了估算,结果为:年释汞通量为652Kg,变化范围为463~919Kgyear<'-1>.单位面积的平均释汞量为193~382gKm<'-2>year<'-1>.对比全球背景值,贵阳市土壤年释汞通量的预测值总体偏高,主要是贵阳市的亚热带气候和土壤汞含量偏高的影响.与贵阳市燃煤年排汞量相比,贵阳市土壤释汞通量为0.652tyear<'-1>,仅为目前燃煤排汞量的1/3.说明贵阳市大气汞的来源还是以人为污染为主,但被污染的土壤对大气汞也有不可忽视的贡献.

Cardiac beta ARK1 inhibition prolongs survival and augments beta blocker therapy in a mouse model of severe heart failure.

Chronic human heart failure is characterized by abnormalities in beta-adrenergic receptor (betaAR) signaling, including increased levels of betaAR kinase 1 (betaARK1), which seems critical to the pathogenesis of the disease. To determine whether inhibition of betaARK1 is sufficient to rescue a model of severe heart failure, we mated transgenic mice overexpressing a peptide inhibitor of betaARK1 (betaARKct) with transgenic mice overexpressing the sarcoplasmic reticulum Ca(2+)-binding protein, calsequestrin (CSQ). CSQ mice have a severe cardiomyopathy and markedly shortened survival (9 +/- 1 weeks). In contrast, CSQ/betaARKct mice exhibited a significant increase in mean survival age (15 +/- 1 weeks; P < 0.0001) and showed less cardiac dilation, and cardiac function was significantly improved (CSQ vs. CSQ/betaARKct, left ventricular end diastolic dimension 5.60 +/- 0.17 mm vs. 4.19 +/- 0.09 mm, P < 0.005; % fractional shortening, 15 +/- 2 vs. 36 +/- 2, P < 0.005). The enhancement of the survival rate in CSQ/betaARKct mice was substantially potentiated by chronic treatment with the betaAR antagonist metoprolol (CSQ/betaARKct nontreated vs. CSQ/betaARKct metoprolol treated, 15 +/- 1 weeks vs. 25 +/- 2 weeks, P < 0.0001). Thus, overexpression of the betaARKct resulted in a marked prolongation in survival and improved cardiac function in a mouse model of severe cardiomyopathy that can be potentiated with beta-blocker therapy. These data demonstrate a significant synergy between an established heart-failure treatment and the strategy of betaARK1 inhibition.

Changes in midbrain pain receptor expression, gait and behavioral sensitivity in a rat model of radiculopathy.

Intervertebral disc herniation may contribute to inflammatory processes that associate with radicular pain and motor deficits. Molecular changes at the affected dorsal root ganglion (DRG), spinal cord, and even midbrain, have been documented in rat models of radiculopathy or nerve injury. The objective of this study was to evaluate gait and the expression of key pain receptors in the midbrain in a rodent model of radiculopathy. Radiculopathy was induced by harvesting tail nucleus pulposus (NP) and placing upon the right L5 DRG in rats (NP-treated, n=12). Tail NP was discarded in sham-operated animals (n=12). Mechanical allodynia, weight-bearing, and gait were evaluated in all animals over time. At 1 and 4 weeks after surgery, astrocyte and microglial activation was tested in DRG sections. Midbrain sections were similarly evaluated for immunoreactivity to serotonin (5HT(2B)), mu-opioid (µ-OR), and metabotropic glutamate (mGluR4 and 5) receptor antibodies. NP-treated animals placed less weight on the affected limb 1 week after surgery and experienced mechanical hypersensitivity over the duration of the study. Astroctye activation was observed at DRGs only at 4 weeks after surgery. Findings for pain receptors in the midbrain of NP-treated rats included an increased expression of 5HT(2B) at 1, but not 4 weeks; increased expression of µ-OR and mGluR5 at 1 and 4 weeks (periaqueductal gray region only); and no changes in expression of mGluR4 at any point in this study. These observations provide support for the hypothesis that the midbrain responds to DRG injury with a transient change in receptors regulating pain responses.

Progress in intra-articular therapy.

Diarthrodial joints are well suited to intra-articular injection, and the local delivery of therapeutics in this fashion brings several potential advantages to the treatment of a wide range of arthropathies. Possible benefits over systemic delivery include increased bioavailability, reduced systemic exposure, fewer adverse events, and lower total drug costs. Nevertheless, intra-articular therapy is challenging because of the rapid egress of injected materials from the joint space; this elimination is true of both small molecules, which exit via synovial capillaries, and of macromolecules, which are cleared by the lymphatic system. In general, soluble materials have an intra-articular dwell time measured only in hours. Corticosteroids and hyaluronate preparations constitute the mainstay of FDA-approved intra-articular therapeutics. Recombinant proteins, autologous blood products and analgesics have also found clinical use via intra-articular delivery. Several alternative approaches, such as local delivery of cell and gene therapy, as well as the use of microparticles, liposomes, and modified drugs, are in various stages of preclinical development.

In vivo luminescence imaging of NF-κB activity and serum cytokine levels predict pain sensitivities in a rodent model of osteoarthritis.

OBJECTIVE: To investigate the relationship between NF-κB activity, cytokine levels, and pain sensitivities in a rodent model of osteoarthritis (OA). METHODS: OA was induced in transgenic NF-κB-luciferase reporter mice via intraarticular injection of monosodium iodoacetate (MIA). Using luminescence imaging we evaluated the temporal kinetics of NF-κB activity and its relationship to the development of pain sensitivities and serum cytokine levels in this model. RESULTS: MIA induced a transient increase in joint-related NF-κB activity at early time points (day 3 after injection) and an associated biphasic pain response (mechanical allodynia). NF-κB activity, serum interleukin-6 (IL-6), IL-1β, and IL-10 levels accounted for ∼75% of the variability in pain-related mechanical sensitivities in this model. Specifically, NF-κB activity was strongly correlated with mechanical allodynia and serum IL-6 levels in the inflammatory pain phase of this model (day 3), while serum IL-1β was strongly correlated with pain sensitivities in the chronic pain phase of the model (day 28). CONCLUSION: Our findings suggest that NF-κB activity, IL-6, and IL-1β may play distinct roles in pain sensitivity development in this model of arthritis and may distinguish the acute pain phase from the chronic pain phase. This study establishes luminescence imaging of NF-κB activity as a novel imaging biomarker of pain sensitivities in this model of OA.

Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies.

BACKGROUND: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors from the observed data. We consider such techniques for sparse factor analysis, with application to gene-expression data from three virus challenge studies. Particular attention is placed on employing the Beta Process (BP), the Indian Buffet Process (IBP), and related sparseness-promoting techniques to infer a proper number of factors. The posterior density function on the model parameters is computed using Gibbs sampling and variational Bayesian (VB) analysis. RESULTS: Time-evolving gene-expression data are considered for respiratory syncytial virus (RSV), Rhino virus, and influenza, using blood samples from healthy human subjects. These data were acquired in three challenge studies, each executed after receiving institutional review board (IRB) approval from Duke University. Comparisons are made between several alternative means of per-forming nonparametric factor analysis on these data, with comparisons as well to sparse-PCA and Penalized Matrix Decomposition (PMD), closely related non-Bayesian approaches. CONCLUSIONS: Applying the Beta Process to the factor scores, or to the singular values of a pseudo-SVD construction, the proposed algorithms infer the number of factors in gene-expression data. For real data the "true" number of factors is unknown; in our simulations we consider a range of noise variances, and the proposed Bayesian models inferred the number of factors accurately relative to other methods in the literature, such as sparse-PCA and PMD. We have also identified a "pan-viral" factor of importance for each of the three viruses considered in this study. We have identified a set of genes associated with this pan-viral factor, of interest for early detection of such viruses based upon the host response, as quantified via gene-expression data.

Biomarkers of PTA

© Springer Science+Business Media New York 2015.Prognostic biomarkers may indicate the likelihood of disease development and speed of progression or may serve as predictive indicators of responsiveness to treatment. Joint injuries, particularly severe injuries, may result in post-traumatic osteoarthritis (PTOA), and pre- and post-injury prognostic biomarkers are needed to enhance primary and secondary prevention approaches for PTOA. Several macromolecules from joint structures found in serum, urine, and synovial fluid are promising biochemical markers for monitoring joint metabolism and health before and after joint injury. The use of metabolic profiling (analysis of small molecules) as a predictive tool for osteoarthritis (OA) has increased in the past decade. Although there is some question as to whether PTOA and idiopathic OA are comparable conditions, there is some evidence to suggest that components of their pathogenesis are similar. Potentially, biomarkers important to the high-risk PTOA profile translate to idiopathic OA. Further work is needed to confirm the utility of macromolecules and metabolites as biomarkers for PTOA, particularly focusing on those strongly correlated to clinical efficacy measures important to the patient (e.g., symptoms, physical function, and quality of life) and the causal pathway of PTOA.

Colchicine effectiveness in symptom and inflammation modification in knee osteoarthritis (COLKOA): study protocol for a randomized controlled trial.

BACKGROUND: Despite the high prevalence and global impact of knee osteoarthritis (KOA), current treatments are palliative. No disease modifying anti-osteoarthritic drug (DMOAD) has been approved. We recently demonstrated significant involvement of uric acid and activation of the innate immune response in osteoarthritis (OA) pathology and progression, suggesting that traditional gout therapy may be beneficial for OA. We therefore assess colchicine, an existing commercially available agent for gout, for a new therapeutic application in KOA. METHODS/DESIGN: COLKOA is a double-blind, placebo-controlled, randomized trial comparing a 16-week treatment with standard daily dose oral colchicine to placebo for KOA. A total of 120 participants with symptomatic KOA will be recruited from a single center in Singapore. The primary end point is 30% improvement in total Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score at week 16. Secondary end points include improvement in pain, physical function, and quality of life and change in serum, urine and synovial fluid biomarkers of cartilage metabolism and inflammation. A magnetic resonance imaging (MRI) substudy will be conducted in 20 participants to evaluate change in synovitis. Logistic regression will be used to compare changes between groups in an intention-to-treat analysis. DISCUSSION: The COLKOA trial is designed to evaluate whether commercially available colchicine is effective for improving signs and symptoms of KOA, and reducing synovial fluid, serum and urine inflammatory and biochemical joint degradation biomarkers. These biomarkers should provide insights into the underlying mechanism of therapeutic response. This trial will potentially provide data to support a new treatment option for KOA. TRIAL REGISTRATION: The trial has been registered at clinicaltrials.gov as NCT02176460 . Date of registration: 26 June 2014.