我国棕榈藤包装材料的应用前景

总结了棕榈藤材的特点和应用历史,分析了我国棕榈藤资源状况和市场发展潜力,阐述了我国目前藤制品的生产和研究现状,预测了我国利用棕榈藤材作为包装材料的应用前景,提出了今后棕榈藤材在包装领域的开发利用发展方向.     

A novel ethanol gas sensor based on ZnO-microwire

One-dimensional (1D) ZnO microwires were successfully synthesized by chemical vapor deposition and their structural and morphological properties were analyzed by X-ray diffraction and scanning electron microscopy, demonstrating that the microwires were single crystalline with perfect hexagonal structure and smooth surface. Using these 1D microstructures, we fabricated a novel ZnO-based ethanol gas sensor. Operating at room temperature, the sensor was found to have good sensing characteristics. The reliability and stability of the sensor could be improved by connecting multiple 1-wire devices (1-WD) in parallel into a multi-wires device. In interior natural lighting environment and under 3 V bias, the response and recovery time of the 1-WD to 200 ppm ethanol gas were <10 s and about 300 s, respectively, and the minimum and maximum detection limit were about 2 and 200 ppm, respectively. A sensing model was proposed for discussing the performance of the sensor. The simplicity in fabrication, low power consumption and low cost make the sensor suitable for practical application in many fields, especially in identifying driving under the influence and chemical industry monitoring.     

数据缺失下学习贝叶斯网的SEM算法

针对SEM算法易收敛于局部最优的问题,提出一种改进SEM算法——DSEM-PACOB算法,采用PACOB算法提供的良好候选网络及合理的策略,估计节点变量缺失值,并使与待估节点变量紧密相关的若干节点变量直接参与估计。实验结果表明,与SEM算法相比,利用新算法获得的最终解的质量有所提高,且具有更好的稳定性。     

D-S证据融合的中医辨证模型

为提高传统不确定性推理在中医辨证中的准确率和灵活性,提出了基于D-S证据理论的中医辨证模型。模型采用群决策理论,以证素为识别框架,以不同专家的诊断结果为基本可信度分配,对专家的诊断结果进行证据融合,模型能够降低系统的不确定性,提高证素诊断的准确率和可信度。以冠心病的中医诊断为例,验证了模型的有效性。     

基于稀疏重建的信号DOA估计

从稀疏信号重建角度提出了一种改进的波达方向(DOA)估计方法。由于最小冗余线阵(MRLA)能以较少的阵元数获得较大的阵列孔径,将MRLA与l1-SVD方法相结合估计信号的DOA。仿真结果表明,经多次实验验证,所提方法是有效的,相比l1-SVD方法可以估计出更多信源的DOA,并且可以用较少的阵元数估计更多的信源DOA,具有信源过载能力。     

A Fully-Human Antibody Specifically Targeting a Membrane-Bound Fragment of CADM1 Potentiates the T Cell-Mediated Death of Human Small-Cell Lung Cancer Cells

Small-cell lung cancer (SCLC) is the most aggressive form of lung cancer and the leading cause of global cancer-related mortality. Despite the earlier identification of membrane-proximal cleavage of cell adhesion molecule 1 (CADM1) in cancers, the role of the membrane-bound fragment of CAMD1 (MF-CADM1) is yet to be clearly identified. In this study, we first isolated MF-CADM1-specific fully human single-chain variable fragments (scFvs) from the human synthetic scFv antibody library using the phage display technology. Following the selected scFv conversion to human immunoglobulin G1 (IgG1) scFv-Fc antibodies (K103.1–4), multiple characterization studies, including antibody cross-species reactivity, purity, production yield, and binding affinity, were verified. Finally, via intensive in vitro efficacy and toxicity evaluation studies, we identified K103.3 as a lead antibody that potently promotes the death of human SCLC cell lines, including NCI-H69, NCI-H146, and NCI-H187, by activated Jurkat T cells without severe endothelial toxicity. Taken together, these findings suggest that antibody-based targeting of MF-CADM1 may be an effective strategy to potentiate T cell-mediated SCLC death, and MF-CADM1 may be a novel potential therapeutic target in SCLC for antibody therapy.     

基于多尺度一致性与注意力机制的视网膜血管分割网络

针对现有的视网膜血管分割方法存在对微血管和毛细血管的分割能力不足,导致血管断连和末端血管漏分,造成视网膜血管分割性能不佳的问题,本文提出一种基于多尺度一致性与注意力机制的视网膜血管分割网络(multi-scale consistency and attention mechanism U-Net, MCAU-Net)。首先,该网络在瓶颈特征层嵌入注意力细化模块(attention refinement module, ARM),能有效细化瓶颈层冗余的特征,抑制背景等无关像素的权值。其次,将上下文特征融合模块(context fusion module, CFM)与传统的跳跃连接相结合,以此补充在特征提取过程中逐渐丢失的信息,加强网络对微血管和毛细血管的构建能力。最后,基于网络的多尺度输出设计了一种多尺度一致性的训练方式,以增强网络对不同尺度特征的敏感性。在DRIVE和CHASE＿DB1公开数据集上进行的对比实验表明本文网络具有良好的分割性能。     

基于SQL Server数据库的安全性策略研究

从数据库系统的安全模型入手,讨论分析了SQL Server数据库使用中的安全问题,针对可能存在的安全问题,提出了一些具体的解决方法和建议,以提高用户对数据库安全的认识.     

用户初始服务密码管理方式

本文对用户初始服务密码管理困难的原因进行了深入的分析,提出了将初始服务密码印制在SIM卡涂层下的新型管理方式。