Effects of age, breast density, ethnicity, and estrogen replacement therapy on screening mammographic sensitivity and cancer stage at diagnosis: review of 183,134 screening mammograms in Albuquerque, New Mexico

PURPOSE: To examine how common patient factors affect screening mammographic sensitivity and cancer stage at diagnosis. MATERIALS AND METHODS: The authors used a population-based database of 183,134 screening mammograms and a statewide tumor registry to identify 807 breast cancers detected at screening mammography. RESULTS: Sensitivity varied significantly with ethnicity, use of estrogen replacement therapy, mammographic breast density, and age. Sensitivity was 54% (13 of 24) in women younger than 40 years, 77% (121 of 157) in women aged 40-49 years, 78% (224 of 286) in women aged 50-64 years, and 81% (277 of 340) in women older than 64 years. Sensitivity was 68% (162 of 237) for dense breasts and 85% (302 of 356) for nondense breasts and 74% (180 of 244) in estrogen replacement therapy users and 81% (417 of 513) in nonusers. Sensitivity was most markedly reduced with the combination of dense breasts and estrogen replacement therapy use; there was little difference when only one factor was present. Median cancer size and the percentage of early cancers showed little change with any factors. CONCLUSION: Age is a minor determinant of mammographic sensitivity in women aged 40 years or older. Sensitivity is substantially decreased with the combination of higher breast density and estrogen replacement therapy use. There was not a notable shift in cancer outcomes in the groups with lower mammographic sensitivity. These data do not support different screening recommendations in women aged 40-49 years or in estrogen replacement therapy users.     

机构影响系数和并联机器人雅克比矩阵的研究

基于刚体运动学的原理，对机构影响系数进行了研究，用运动坐标系和拟牵连速度的概念给出了机构速度影响系数求解公式，揭示了机构影响系数的物理意义，明确地论证了机构速度影响系数只与机构瞬时位姿有关而与机构的真实速度无关的结论。并将该方法用于并联机器人的运动学研究，由此而给出了求解并联机器人的雅克比矩阵的方法。     

于锁集合算法的增强型数据竞争检测方法

针对锁集合算法误报率高的缺点,采用增强型数据竞争检测方法对锁集合算法及算法实现两方面进行改进.增强型锁集合算法提出了更强必要条件的检测算法.该算法通过分析线程结束情况和理解变量的线程信息,精化数据竞争检测条件.算法实现采用系统体系结构扩展的方法,通过扩展锁表部件,将集合操作精确映射到位图操作,进一步提高检测精度和减少误报.实现了无干扰免插桩检测技术,避免了二进制代码插桩带来的干扰性和不确定性问题.与同类系统的对比实验结果表明,该方法能够有效地将误报率减小到0.67,并且具有很高的检测效率.     

基于TCP／IP协议的网络教学系统设计

通过对高校网络教学现状的调查与分析，提出了总体的设计目标以及设计方案，包括系统运行环境以及系统展现内容．系统采用C／S模式，通过主机与客户机发送数据包，利用网络包截获的相应技术以及包过滤等策略，对特定的数据包进行分析，将各类协议首部用的二进制代码展现，可更直观的看到网络传输的具体方式，同时可将二进制代码转换为十进制，使系统具有更强的可视性．     

论邓小平发展科学技术的创新思想

全面地阐述了邓小平关于发展科学技术的思想.从发展科学技术的重要性与发展科学技术的方法、目标、前提、核心等方面,将邓小平关于我国发展科学技术的论述,概括为科的论述,概括为科技关键论、引进吸收创新论、科技前沿论、教育基础论和人才为本论.     

Analyzing the performance of a cluster-based architecture for immersive visualization systems

Cluster computing has become an essential issue for designing immersive visualization systems. This paradigm employs scalable clusters of commodity computers with much lower costs than would be possible with the high-end, shared memory computers that have been traditionally used for virtual reality purposes. This change in the design of virtual reality systems has caused some development environments oriented toward shared memory computing to require modifications to their internal architectures in order to support cluster computing. This is the case of VR Juggler, which is considered one of the most important virtual reality application development frameworks based on open source code.     

How mobile phones perform in collaborative augmented reality (CAR) applications

This paper presents the experimental analysis of mobile phones for Augmented Reality marker tracking, a core task that any CAR application must include. The results show that the most time consuming stage is the marker detection stage, followed by the image acquisition stage. Moreover, the rendering stage is decoupled on some devices, depending on the operative system used. This decoupling process allows avoiding low refresh rates, facilitating the collaborative work. However, the use of multicore devices does not significantly improve the performance provided by CAR applications. Finally, the results show that unless a poor network bandwidth makes the network to become the system bottleneck, the performance of CAR applications based on mobile phones will be limited by the detection stage. These results can be used as the basis for an efficient design of CAR systems and applications based on mobile phones.     

A new system architecture for crowd simulation

Crowd simulation requires both rendering visually plausible images and managing the behavior of autonomous agents. Therefore, these applications need an efficient design that allows them to simultaneously handle these two requirements. Although several proposals have focused on the software architectures for these systems, no proposals have focused on the computer systems supporting them.In this paper, we analyze the computer architectures used in the literature to support distributed virtual environments. Also, we propose a distributed computer architecture which is efficient enough to support simulations of thousand of autonomous agents. This proposal consists of a cluster of interconnected computers in order to improve flexibility and robustness, as well as a hierarchical software architecture that efficiently provides consistency. Performance evaluation results show that the trade-off between flexibility and consistency allows to efficiently manage thousands of autonomous agents. Therefore, this network-based system architecture can provide the required scalability for large-scale crowd simulations.