Novel Design of RNA Aptamers as Cancer Inhibitors and Diagnosis Targeting the Tyrosine Kinase Domain of the NT-3 Growth Factor Receptor Using a Computational Sequence-Based Approach

Aptamers, the nucleic acid analogs of antibodies, bind to their target molecules with remarkable specificity and sensitivity, making them promising diagnostic and therapeutic tools. The systematic evolution of ligands by exponential enrichment (SELEX) is time-consuming and expensive. However, regardless of those issues, it is the most used in vitro method for selecting aptamers. Therefore, recent studies have used computational approaches to reduce the time and cost associated with the synthesis and selection of aptamers. In an effort to present the potential of computational techniques in aptamer selection, a simple sequence-based method was used to design a 69-nucleotide long aptamer (mod_09) with a relatively stable structure (with a minimum free energy of −32.2 kcal/mol) and investigate its binding properties to the tyrosine kinase domain of the NT-3 growth factor receptor, for the first time, by employing computational modeling and docking tools.     

基于二代curvelet变换的图像融合研究

曲波(Curvelet)作为一种新的多尺度分析方法比小波更加适合分析二维图像中的曲线或直线状边缘特征,而且具有更高的逼近精度和更好的稀疏表达能力.将curvelet变换引入图像融合,能够更好地提取原始图像的特征,为融合图像提供更多的信息.第二代curvelet理论的提出也使得其理论更易理解和实现.因此,提出了一种基于第二代curvelet变换的图像融合方法,首先将图像进行curvelet变换,然后在相应尺度上利用融合规则将curvelet系数融合,最后进行重构得到融合结果.对多聚焦图像进行了实验,采用均方误差、偏差指数和相关系数对融合结果进行了客观评价,并与基于小波变换的融合进行了比较,实验结果表明该方法除分解2层时与小波性能相当,取其他分解层数时均获得更好的融合效果.     

Coupled intramolecular/heterointerfacial electron transfer in polyelectrolyte-shielded Iso-type black phosphorus hetero-structure boosts oxygen reduction kinetics

Searching new structured black phosphorus (BP) and exploring intriguing functions and applications have become a hot topic so far.Here,we introduce a novel Iso-...     

红黑排序混合算法收敛速度分析

The algorithm of applying the block Gauss elimination to the Red-Black or-dering matrix to reduce the order of the system then solve the reduced system byiterative methods is called Hybrid Red-Black Ordering algorithm.In this paper,we discuss the convergence rate of the hybrid methods combined with JACOBI,CG,GMRES(m).Theoretical analysis shows that without preconditioner thesethree hybrid methods converge about 2 times as fast as the corresponding natural ordering methods.For the case that all the eigenvalues is near the real axis, the GMRES(m) algorithm converges about 3 times faster than the natural ordering GMRES(m).Various numerical experiments are presented.For large scale prob-lem with preconditioners, numerical experiments show that the GMRES(m) hybrid methods converge from about 3 times to even 5 times as fast as the natural order-ing methods and the computing time is reduced to about 1/3 even 1/6 of that of the natural ordering methods.     

Storage and retrieval of ultraslow optical solitons in coherent atomic system

We investigate the propagation of intense probe pulses in a lifetime broadened Λ-type three-level atomic system with a configuration of electromagnetically induced transparency. We find that ultraslow optical solitons formed by a balance between dispersion and nonlinearity can be stored and retrieved in the system by switching off and on a control field. Such pulses are robust during storage and retrieval, and hence may have potential applications in optical and quantum information processing.     

Noise analysis of an electro-optic sensor system

Optical Review - This paper describes the noise analysis of an electro-optic (EO) sensor system based on experimental and simulation results. We developed a polarization simulator of the EO sensor...     

Effect of deposition power and pressure on rate deposition and resistivity of titanium thin films grown by DC magnetron sputtering

ABSTRACT

Based on magnetron sputtering deposition technology, titanium (Ti) thin films are deposited on silicon (Si) substrate using different preparation conditions such as sputtering power and pressure. The influence of altering these conditions on deposition rate and microstructure is studied. The results show that sputtering power significantly affects the rate of deposition and the resistivity. The deposition rate of the Ti thin film increases when the resistivity decreases under sputtering powers of 150–225?W with a pressure of 0.8?Pa and Argon (Ar) flux of 80 sccm. As sputtering power was increased further (from 225 to 250?W), the deposition rate reduced and the resistivity augmented. Pressure also has influence on the deposition rate and resistivity – when pressure increases from 0.6 to 0.8?Pa, the deposition rate escalates while the resistivity reduces; when the pressure is raised from 0.8 to 1.0?Pa with Ar flux of 100 sccm, the deposition rate decreases and resistivity increases. The surface chemical compositions and the structures of the Ti film were studied by using X-ray photoelectron spectroscopy (XPS) and X-ray diffractometer (XRD). Observing the cross-section of the thin-film samples produced by scanning electron microscope (SEM) reveals the influence of the preparation conditions used on the microstructure and confirms the influence of sputtering power and pressure on the resistivity.     

湿度对水泥生料近红外光谱检测的影响及补偿方法

近红外光谱检测已被应用于水泥生料成分的快速检测,但现场环境中的湿度等因素会对光谱产生干扰,从而降低检测精度。为了提高检测精度,在实验分析湿度对水泥生料近红外光谱检测影响的基础上研究了补偿方法。在水泥厂选取了24份水泥生料样本,其中18份作为校正集,6份作为验证集;水泥生料中的有效成分为SiO2,Al2O3,Fe2O3和CaCO3,各成分含量的标准值由X射线荧光光谱分析测出。首先,将校正集的18份样本每份重复装样测5次光谱,用得到的90个光谱建立模型Ⅰ;再每份样品制作5个湿度梯度样本,其获得过程为,先将样本放置在电加热平台上,用玻璃棒将样本摊平,180℃下加热30 min,再将样本放置在散热片上进行降温,待样品恢复室温后取出进行第一次光谱扫描,得到1个光谱,将测量后的样本放入搅拌器,使用装有去离子水的喷雾器对其喷雾两次,然后搅拌30 s混合均匀,测量混合后的样本得到下一个光谱,重复该过程,得到具有湿度梯度的5个光谱。所有样本均采用烘干法进行湿度测量,样本湿度变化区间在0.6%~2%以内。对每个湿度梯度的样本测量1次,用得到的这90个光谱建立模型Ⅱ。然后,将验证集的6份样本每份制作5个湿度梯度,获取方式与校正集相同,对每个湿度梯度的样本测量1次,得到30个光谱。所有光谱均采用多元散射校正预处理,拟合波段选择4000~5000 cm^-1,建模方法采用偏最小二乘法。比较同一份样本的5个湿度梯度,可以看到在5200 cm^-1处光谱差异最大,在其他位置也有肉眼可见的明显差异,因此,湿度变化对全波段光谱有明显的影响。最后,将这30个光谱输入模型Ⅰ与模型Ⅱ进行验证,并对比模型Ⅰ与模型Ⅱ的预测均方根误差RMSEP。模型Ⅱ中SiO2,Al2O3,Fe2O3和CaCO3的预测均方根误差RMSEP比模型Ⅰ分别减小了25%,31.3%,33.3%和25%。实验结果表明,水泥生料样本湿度对近红外光谱模型的预测结果具有一定的影响,采用具有湿度梯度的样本进行建模可有效降低湿度对预测结果的影响。     

消光式核壳二聚体传感器的设计与光谱特性分析

根据ITO/Au纳米核壳二聚体粒子在生物医学领域的应用合理性,设计了一种实时检测生物液体的核壳二聚体探针消光式传感器;由偶极子理论推导出输出波长与外界环境折射率关系;利用MATLAB设计ITO/Au纳米核壳二聚体粒子结构;采用软件DDSCAT7.3结合离散偶极近似法,利用二聚体有效半径模拟计算了300~950nm可见光到红外光波段不同核壳比、二聚体间距、以及不同介质折射率的消光光谱;根据传感芯片折射率与偶极共振、耦合八级共振的响应关系得出ITO/Au二聚体的折射率灵敏特性。与传统Ag/Au核壳纳米粒子相比,ITO/Au纳米核壳二聚体结构引入了可作为传感芯片灵敏性自参考参数的耦合八级共振峰,同时ITO/Au二聚体结构的折射率灵敏度可达到419nm/RIU。这些工作及其结果对制作消光式传感器具有重要的意义。     

基于深度学习的离轴菲涅耳数字全息非线性重构

针对离轴菲涅耳数字全息图,提出基于深度学习的单幅数字全息非线性重构方法 .采用经典的菲涅耳衍射积分模拟数字全息成像以供给网络训练所需样本,利用深度卷积残差神经网络通过学习数字全息图与相关物像之间的非线性数学映射关系实现全息图的物像重构.数值模拟表明,与传统的频率滤波和四步相移技术实现菲涅耳数字全息重构相比,本文提出的方法可直接消除零级像及孪生像,无需条纹物项抽取预处理步骤,且重构的物像具有较高的质量,针对相同记录参考光下不同衍射距离所生成的测试集亦具有较强的稳健性.