C++语言网络考试系统的设计与实现

本文介绍了一个C++语言网络考试系统的设计过程,同时也介绍了在系统设计中涉及到的一些技术及实现。此外,还给出了一些问题的分析和处理过程。这个基于ASP.NET和SQL Sever2000数据库的C++语言网络考试系统由考试系统和管理系统两大部分组成。整个系统按照应用层和管理层来实现。系统的功能大致由管理后台主页面模块、测试后台主页面模块、管理员添加题目模块、添加考生模块、管理题目模块、管理考生模块、考生在线测试模块等部分组成,这就需要对功能模块进行规划。     

Molecular Subtyping of Invasive Breast Cancer Using a PAM50-Based Multigene Expression Test-Comparison with Molecular-Like Subtyping by Tumor Grade/Immunohistochemistry and Influence on Oncologist’s Decision on Systemic Therapy in a Real-World Setting

In intermediate risk hormone receptor (HR) positive, HER2 negative breast cancer (BC), the decision regarding adjuvant chemotherapy might be facilitated by multigene expression tests. In all, 142 intermediate risk BCs were investigated using the PAM50-based multigene expression test Prosigna® in a prospective multicentric study. In 119/142 cases, Prosigna® molecular subtyping was compared with local and two central (C1 and C6) molecular-like subtypes relying on both immunohistochemistry (IHC; HRs, HER2, Ki-67) and IHC + tumor grade (IHC+G) subtyping. According to local IHC, 35.4% were Luminal A-like and 64.6% Luminal B-like subtypes (local IHC+G subtype: 31.9% Luminal A-like; 68.1% Luminal B-like). In contrast to local and C1 subtyping, C6 classified >2/3 of cases as Luminal A-like. Pairwise agreement between Prosigna® subtyping and molecular-like subtypes was fair to moderate depending on molecular-like subtyping method and center. The best agreement was observed between Prosigna® (53.8% Luminal A; 44.5% Luminal B) and C1 surrogate subtyping (Cohen’s kappa = 0.455). Adjuvant chemotherapy was suggested to 44.2% and 88.6% of Prosigna® Luminal A and Luminal B cases, respectively. Out of all Luminal A-like cases (locally IHC/IHC+G subtyping), adjuvant chemotherapy was recommended if Prosigna® testing classified as Prosigna® Luminal A at high / intermediate risk or upgraded to Prosigna® Luminal B.     

改进的差分进化算法及在聚丙烯牌号切换优化中的应用

针对差分进化算法早熟问题,提出一种改进差分进化算法,采用动态缩放因子解决优化过程中的变量约束问题,在进化过程中自动地调整控制参数取值以保证变量约束条件;引入聚集度作为参数评估种群分布的密集程度,增加一种新的变异算子在进化过程中根据聚集度情况对部分个体进行后续变异操作,适时调整种群分布,提高种群多样性,增强全局搜索能力。建立了聚丙烯牌号切换优化模型并将改进的差分进化算法应用于牌号切换优化模型的求解,仿真实验结果表明改进的差分进化算法在全局搜索能力和搜索效率两个方面有较大提高。     

模糊算法在态势评估中的应用

针对态势评估中存在的不确定性,把模糊算法应用于态势评估,建立了基于模糊算法的态势评估框架,解析态势评估的流程。同时根据不同的评估需要,建立两种不同的态势评估模型,并给出确立评估矩阵的隶属函数。通过实例把态势评估元素的条件隶属度进行量化,从而得出具体的评估矩阵,对基于模糊算法的态势评估方法的整个实现过程进行讨论。最后,通过分析评估结果比较两种模型的效能,得出更适于态势评估的模型。     

Next-Generation Grade and Survival Expression Biomarkers of Human Gliomas Based on Algorithmically Reconstructed Molecular Pathways

In gliomas, expression of certain marker genes is strongly associated with survival and tumor type and often exceeds histological assessments. Using a human interactome model, we algorithmically reconstructed 7494 new-type molecular pathways that are centered each on an individual protein. Each single-gene expression and gene-centric pathway activation was tested as a survival and tumor grade biomarker in gliomas and their diagnostic subgroups (IDH mutant or wild type, IDH mutant with 1p/19q co-deletion, MGMT promoter methylated or unmethylated), including the three major molecular subtypes of glioblastoma (proneural, mesenchymal, classical). We used three datasets from The Cancer Genome Atlas and the Chinese Glioma Genome Atlas, which in total include 527 glioblastoma and 1097 low grade glioma profiles. We identified 2724 such gene and 2418 pathway survival biomarkers out of total 17,717 genes and 7494 pathways analyzed. We then assessed tumor grade and molecular subtype biomarkers and with the threshold of AUC > 0.7 identified 1322/982 gene biomarkers and 472/537 pathway biomarkers. This suggests roughly two times greater efficacy of the reconstructed pathway approach compared to gene biomarkers. Thus, we conclude that activation levels of algorithmically reconstructed gene-centric pathways are a potent class of new-generation diagnostic and prognostic biomarkers for gliomas.     

融合注意力线性特征多样化的DR分级模型

糖尿病视网膜病变(diabetic retinopathy, DR)是目前人类的主要致盲疾病之一。针对DR数据集中样本类间差异小和类分布不均衡等制约分级性能提高的问题,本文提出一种融合注意力线性特征多样化(fusion of attention linear feature diversification, FALFD)的分级算法。该算法首先用改进的Res2Net残差网络作为模型骨干来增大感受野,进一步提高网络捕捉特征信息的能力;其次引入自适应特征多样化模块(adaptive feature diversification module, AFDM)对眼底图像可分辨的微小病理特征进行识别,获得具有高语义信息的局部特征,避免单一特征区域的限制,进而提高分级准确度;再后利用双线性注意力融合模块(bilinear attention fusion module, BAFM)增加可判别区域特征的网络权重占比;最后采用正则化焦点损失(focal loss, FL)进一步提升算法的分类性能。在IDRID数据集上,灵敏度和特异性分别为94.20%和97.05%,二次加权系数为87.83%;在APTO...     

我国电子级BaCO3的生产现状

介绍了我国电子级BaCO3的生产方法,包括碳化法、复分解法、转化法、Ba(OH)2法及BaCl2法。重点介绍了反应机理,工艺流程,研究进展,优缺点,主要厂家及其年产量。还述及其技术标准,主要应用领域以及国内市场容量。     

基于多策略的学生成绩挖掘与分析

通过对数据挖掘技术的相关分析与比较,提出了多策略的设计思路,将数据挖掘与统计分析相结合,从海量成绩数据中提取隐藏于其中的有用信息,从而科学指导教学,提高教学管理水平。多策略是指:采用基于决策树的分类方法,对学生成绩库中数据进行挖掘,生成学生成绩决策树,能直观显示出某一成绩在不同等级计算方式所处的位置,为教学部门提供评价信息;同时采用基于总结规则的统计分析方法,完成不同情况下的成绩查询及对比分析,实现学生成绩分析报告、试卷质量评价报告及质量分析表的自动生成。应用该系统后将改进工作效率,提高教学质量。     

信息系统安全等级化防护研究探讨

文章针对广州强力安全部门网络安全系统防护提出的一种网络安全系统设计构架;对其中的网络安全体系结构设计与实现进行了详细的分析;提出了安全体系结构模型和管理执行策略模型,并详述了其设计过程。把安全体系结构、安全策略管理的实现和网络安全的实现机制有机地结合在一起。     

数字正射影像地图的质量评定

本文首先根据数字正射影像图生产的流程，分析了数字正射影像生产中包含的质量控制环节。对照正射影像地图生产要求，本文给出了对其进行质量评定的质量特性要素。总结和分析了较实用的数字正射影像地图的质量评定方法。并以实例说明其应用。