CO2激光联合不同方法使用干扰素治疗尖锐湿疣疗效观察

目的观察CO 2激光联合不同方法使用干扰素治疗尖锐湿疣疗效.方法140患者随机分为四组，给予不同治疗，比较四组的复发率.结果A,B,C和D组的复发率分别是37.1%, 18.92%,9.4%和16.67%.两两比较有显著性差异.(P<0.05)结论CO 2激光联合重组人a-2b干扰素皮损内封闭能显著降低尖锐湿疣的复发.     

相变存储器曝光工艺研究

介绍了在相变材料上的曝光工艺研究,得出了相应的工艺条件,研究了邻近效应的影响以及利用邻近效应制作nm量级间隔大电极对的方法。     

基于显著性检测的星载嵌入式跟踪系统

随着航天科技的不断发展,计算机视觉算法在卫星上的应用方兴未艾,为了实现更多的功能需求和应对可能的威胁,视觉目标跟踪作为其中基础但具有挑战性的任务更是至关重要。然而,目前已有的目标跟踪算法大多数算法只限于对图像序列进行跟踪。另一方面,受到硬件条件制约,很多优秀的算法因为复杂度较高很少被应用到星载嵌入式系统中。这些目标跟踪算法运行时,通常需要人为地给出目标的边界框。为了自动得到边界框,需要目标检测算法对输入图像进行运动目标检测。本文提出了一种基于显著性检测和相关滤波的单目标检测与跟踪一体化算法,并与嵌入式系统相结合,在搭载的TMS320C6678芯片上达到了2 048 pixel×2 048 pixel分辨率下24 fps的帧率。具体地,检测算法负责对图像进行预处理并获得边界框,然后目标跟踪算法给出目标在后续帧中的位置。为了验证算法在实际跟踪中的有效性,本研究搭建了一个由相机、DSP和云台组成的光学平台并进行了实验验证。在该系统中,DSP自动完成检测、跟踪、驱动云台和再检测任务,达到了很好的检测跟踪效果。     

锯齿型压电梁的电响应分析

压电振子的工作频带宽度是影响压电振动能量收集器发电效率的关键指标。该文旨在分析一种锯齿型阵列式压电振动能量收集器结构模态频率,为压电振子的动力学设计提供参考。首先,基于弹性梁振动理论,推导了锯齿型压电梁的动力学方程,并分析了影响压电梁模态频率的因素。然后,通过COMSOL建立锯齿形压电梁的有限元模型,分析了其频响特性、功率与负载阻抗匹配特性及加速度依赖性。最后,通过实验研究测试了锯齿型压电梁的电压幅频特性曲线,验证了理论分析与仿真模拟结果的合理性。结果表明,锯齿型阵列式压电振动能量收集器能够有效地拓宽工作频带,进而提高发电效率。     

The Golden Touch by Light: A Finely Engineered Luminogen Empowering High Photoactivatable and Photodynamic Efficiency for Cancer Phototheranostics

Photoactivatable agent is a powerful tool in biomedicine studies due to high-precision spatiotemporal control of light. However, those previously reported agents generally suffer from short wavelength, fluorescence self-quenching effect, and the lack of photosensitizing property, which severely restrict their practical applications. To address these issues, molecular engineering of 1,4-dihydropyridine derivatives is conducted to obtain an optimized agent, namely TPA-DHPy-Py, which exhibits low oxidation potential, high photoactivation efficiency, and excellent type I/II combined photodynamic activity. Concurrently, its photoactivated counterpart is featured by aggregation-induced near-infrared emission and remarkable reactive oxygen species (ROS) production efficiency. Upon photoactivation, TPA-DHPy-Py is capable of precisely identifying cancer cells from co-culturing cancer cells and normal cells without the assistance of any extra targeting units, and in situ monitoring lipid droplets and endoplasmic reticulum alteration under ROS stress, as well as achieving fluorescent visualization of tumor in vivo with supremely high imaging contrast. Furthermore, the unprecedented performance on photodynamic cancer therapy is demonstrated by the significant inhibition of tumor growth. Therefore, the photoactivatable TPA-DHPy-Py with dual-organelle-targeted and excellent photodynamic activity associated with self-monitoring ability is highly promising for cancer theranostics in clinical trials.     

A Boronate Ester Driven Rechargeable Antibacterial Membrane for Fast Molecular Sieving

Membrane decorated with biocides is an effective way to suppress biofilm growth. However, their immediate biocidal effect usually suffers from a significant decline due to the irreversible consumption of the biocides. Here, a smart nanofiltration membrane is reported with rechargeable antibacterial capability that is fabricated by a facile interfacial polymerization via 3-aminophenylboronic acid and trimesoyl chloride on a polysulfone substrate. Biocides bearing diol groups can be grafted onto the membrane surface under neutral/alkaline condition and then released from the surface under acidic environment, due to the pH-responsive feature of boronate ester complexes. The resultant membrane exhibits integrated properties of fast bacterial inactivating efficiency, rechargeable antibacterial capability, and impressive stability. In addition, the achieved membrane shows remarkable separation efficiency to dye/monovalent salt system. The successful fabrication of the membrane with rechargeable anti-bacterial property provides new insights into the development of pH-responsive and sustainable antibacterial membranes.     

基于MLP神经网络的圆锥角膜辅助诊断北大核心CSCD

圆锥角膜在病变过程中会导致角膜中央部位向前凸出,使角膜呈现出圆锥形,而且会导致高度不规则近视和散光,对视力造成不同程度损害。疾病一般发生于青少年时期,为了能及时治疗避免病变严重,筛查区分圆锥角膜具有十分重要的意义。而且临床上对于圆锥角膜诊断通常是采用角膜地形图的方法,可以得到角膜形态学的改变,但是有一定的误诊率。目前研究发现,角膜力学特性改变先于形态学,所以本文从角膜生物力学角度出发,提出一种基于多层感知机(multi-layer perceptron,MLP)神经网络区分圆锥角膜的模型。首先,利用可视化生物力学分析仪(corneal visualization scheimpflug technology,Corvis-ST)测得角膜的生物力学视频,进行处理计算得到角膜生物力学参数作为数据集,其中包含正常角膜和圆锥角膜2种类别;然后,针对角膜生物力学参数数据集构建MLP神经网络模型,将70%数据集作为训练集,30%数据集作为测试集。在数据集上训练及测试的结果表明,该模型区分圆锥角膜的准确率为97.6%。     

基于双时间点检测的毫米波雷达人流量监测方法

针对现有基于视频监控的人流量统计方案成本高、算法复杂且不利于个人隐私保护的局限性,利用毫米波雷达体积小、成本低、分辨率高的特点,提出了一种基于双时间点检测的人流量监测方法。该方法先获取人体目标散射点位置和多普勒频移信息来构成点云数据,然后根据多普勒频移正负来判断人体的运动方向,并筛选具有高多普勒频移值的点云数据以降低干扰点对聚类结果的影响;在双时间点对特定区域内人员数量进行统计,并根据双时间点之间所获取的点云数据聚类结果对所统计人员数据进行修正。实验结果表明,该方法能够用匿名的方式以较高的正确率统计人员进出。     

机动雷达地网接地电阻的预估算法

系统接地问题是制约机动雷达机动性能的关键因素之一。通过对垂直地网、水平地网、复合地网三种机动地网技术的理论研究与测试验证,提出了不同地网技术接地电阻的近似计算方法,并在理论推导的基础上,提出了机动地网接地电阻的预估算法。经实际测试证明本文所提算法简单可行,并且已经在某型号机动雷达上开展了实际应用,能够为后续机动雷达应急接地提供重要的技术保障。     

一种实时自适应前沿消隐电路

基于正激变换器结构,设计了一种实时自适应前沿消隐电路。通过振荡时间消隐和振荡幅度消隐,对最优消隐时间进行追踪,实现实时自适应的前沿消隐,在保证消隐可靠性的基础上降低了系统体积与成本,并确保不限制电路高频化发展。设计的前沿消隐电路能获得消除尖峰振荡的输出电流信息,保证系统能对输出负载变化做出快速响应。基于0.18μm BCD工艺,对电路进行设计。仿真结果表明,该电路在没有其它额外限流功能条件下,启动过冲电压只有50 mV,负载切换时的下掉电压与过冲电压分别为519 mV和578 mV。