Potential of Silver Nanoparticles in Overcoming the Intrinsic Resistance of Pseudomonas aeruginosa to Secondary Metabolites from Carnivorous Plants

Carnivorous plants are exemplary natural sources of secondary metabolites with biological activity. However, the therapeutic antimicrobial potential of these compounds is limited due to intrinsic resistance of selected bacterial pathogens, among which Pseudomonas aeruginosa represents an extreme example. The objective of the study was to overcome the intrinsic resistance of P. aeruginosa by combining silver nanoparticles (AgNPs) with secondary metabolites from selected carnivorous plant species. We employed the broth microdilution method, the checkerboard titration technique and comprehensive phytochemical analyses to define interactions between nanoparticles and active compounds from carnivorous plants. It has been confirmed that P. aeruginosa is resistant to a broad range of secondary metabolites from carnivorous plants, i.e., naphthoquinones, flavonoids, phenolic acids (MBC = 512 µg mL⁻¹) and only weakly sensitive to their mixtures, i.e., extracts and extracts’ fractions. However, it was shown that the antimicrobial activity of extracts and fractions with a significant level of naphthoquinone (plumbagin) was significantly enhanced by AgNPs. Our studies clearly demonstrated a crucial role of naphthoquinones in AgNPs and extract interaction, as well as depicted the potential of AgNPs to restore the bactericidal activity of naphthoquinones towards P. aeruginosa. Our findings indicate the significant potential of nanoparticles to modulate the activity of selected secondary metabolites and revisit their antimicrobial potential towards human pathogenic bacteria.     

Antisense Oligonucleotide-Based Rescue of Aberrant Splicing Defects Caused by 15 Pathogenic Variants in ABCA4

The discovery of novel intronic variants in the ABCA4 locus has contributed significantly to solving the missing heritability in Stargardt disease (STGD1). The increasing number of variants affecting pre-mRNA splicing makes ABCA4 a suitable candidate for antisense oligonucleotide (AON)-based splicing modulation therapies. In this study, AON-based splicing modulation was assessed for 15 recently described intronic variants (three near-exon and 12 deep-intronic variants). In total, 26 AONs were designed and tested in vitro using a midigene-based splice system. Overall, partial or complete splicing correction was observed for two variants causing exon elongation and all variants causing pseudoexon inclusion. Together, our results confirm the high potential of AONs for the development of future RNA therapies to correct splicing defects causing STGD1.     

与低计算复杂度解映射相结合的16APSK星座优化

提出一种在新的简化的解映射方法下,以星座图上所有信号点距离解映射门限的最小距离的最大化为目标函数的星座图优化方法。仿真比较了在优化设计的星座映射下,传统的解映射算法和所提出的解映射的误码性能。仿真结果表明,所提出的星座图优化设计方法在简化的解映射方法下具有良好的性能;简化的解映射算法在大大降低计算复杂度的情况下,在误比特率为10-4时,SNR损失了约1 d B。     

串联感应加热电源相角保护

数字感应加热电源在工业中一般采用串联负载与PFM调功方式。串联负载谐振与PFM调功方式要求逆变器频率稳定工作在感性区,但在实际工作过程中逆变器频率可能会由感性区越过谐振点滑入容性区,引起逆变器发生"炸管"现象。为了防止"炸管"现象的发生,在谐振点附近的感性区设置限相区,当频率进入限相区经PI处理使其稳定工作在感性区达到保护逆变器的目的。通过DSP实验平台测试,限相区的设置可以很好的保护逆变器使其稳定工作在感性区。     

高灵敏度弱磁传感器研究

磁传感器在生物医学、资源探测和航空航天等领域有巨大的应用价值,基于原子自旋的弱磁传感器拥有目前最高的磁场测量灵敏度。但通常的方案采用射频场调制或远离共振的激光检测,前者增加了磁力仪的线宽,而后者对激光频率的锁定带来了困难。为了解决以上问题,提出了一种基于激光强度调制和圆二向色性检测的原子弱磁传感器方案,详细描述了其工作原理和系统构成,并对原子弱磁传感器的性能进行了测试。实验结果表明:原子弱磁传感器的磁共振线宽为22 Hz,在对恒定磁场进行30 min连续测量时,峰峰值抖动小于9 pT,灵敏度达到了0.12 pT/Hz1/2。     

Surface characterization of cross-linked elastomers by shear modulation force microscopy

Brominated poly(isobutylene-co-4-methylstyrene) (BIMS) is a synthetic terpolymer which can be stoichiometrically cross-linked by N,N′-dicinnamylidene-1,6-hexanediamine (DIAK). The degree of cross-links on bulk samples was determined by measuring the low frequency shear modulus with parallel plate method. The surface modulus of the same samples was measured using a new method, shear modulation force microscopy (SMFM). The moduli of the bulk sample and the surface were found to have the same scaling with the cross-link density, and good agreement with rubber elasticity theory was obtained in both cases. The SMFM was then used to monitor the cross-linking process, as a function of DIAK concentration and curing time, in thin films where standard rheological methods cannot be applied. The results show that in all cases the cross-linking reaction at the surface reaches saturation in less than 10 min as compared to at least 1 h in the bulk samples.     

基于特征融合的调制识别增强与迁移演化

针对调制识别中单一图像的特征信息不足,区分度不够高,识别范围受限的问题。本文提出了一种基于时频图和星座图特征融合的调制识别特征增强方法,利用深度学习神经网络提取信号图像的特征,构建特征空间,通过多维特征融合,挖掘和整合不同特征的优势,增强模型算法的鲁棒性。此外运用了模型迁移的方法,仅需对分类器进行训练,大幅节约了训练时间和资源,具有很强的实时性和实用性。仿真结果显示,在0db左右的条件下,相比于单一特征图像,采用特征融合增强的方法能将信号的平均识别率提高约25%,通过模型迁移,省去了卷积神经网络的训练,所需的训练时间约为迁移前的9.6%,消耗内存约为迁移前的7.3%,同时模型的识别率损失控制在了5%以内。     

光学镜头调制传递函数的测试

为了定量、客观、全面地评价光学镜头的像质,介绍了光学镜头调制传递函数的测试。先简要叙述了测试的原理,并给出计算公式;然后介绍了测试步骤,其中包括固定、穿轴、测试中心视场和测试轴外视场;最后介绍了测试时的注意事项,包括对测试工装的要求、对测试平面的要求和正、负轴外视场测试值相差较大时的处理办法。     

一种用于目标跟踪的波形自适应选择算法

提出了一种用于雷达目标跟踪的自适应广义调频波形设计算法。该算法根据跟踪器的动态需求,以广义调频信号为样板波形自适应设计下一时刻的发射波形,其目的是最小化预测的目标跟踪均方误差,并假定高信噪比条件,且目标跟踪运动模型和观测模型均为线性,利用与某一波形相对应的克拉美--罗下限（CRLB）以及卡尔曼滤波器,通过最小化预测的跟踪均方误差来实现广义调频波形的自适应设计。仿真结果表明：在信噪比相同的情况下,与使用固定参数、自适应参数的线性调频波形设计算法相比,所提出的算法能够获得更低的目标跟踪均方误差。     

基于DMWT和QIMM 的图像水印算法

利用多尺度分析的思想,对原始图像进行重复行信号预滤波,把标量小波变换扩展到多小波变换后选取变换出来的低频子带进行水印嵌入。为了保证水印信息的安全性,对水印进行加密置乱处理。然后结合量化索引模数调制（QIMM）的优越性能,根据水印的信息不同选择不同的子块进行嵌入并实现了水印的盲提取。实验证明,算法具有良好的视觉性和鲁棒性,并大大扩展了水印的容量。