大孔径静态干涉成像光谱仪的信噪比分析

根据大孔径静态干涉成像光谱仪的原理和特点,分析了光辐射能在光学系统内的传输情况,对探测器上接收到的光辐射能信号和噪音信号做了详细的推导,得到了仪器理论信噪比的表达式.在实验上以大口径积分球为辐射源,采集仪器输出的干涉图像,计算得到仪器的实际信噪比曲线,对大孔径静态干涉成像光谱仪的理论信噪比曲线与实际的信噪比曲线做分析比较,结果验证了用推导的论信噪比的表达式来预估仪器信噪比的可行性.     

线型优化最大熵线性预测方法自回归模型三种求解方法的比较

采用三种方法：修正协方差法MCOV(Modified Covariance Method)、递推极大似然估计法RMLE(Recursive Maximum Likelihood Estimator)和伯格法(Burg Method)求解线型优化最大熵线性预测方法中的自回归模型系数,并且在不同求解方法情况下,将阶次、信噪比对光谱复原的影响作了详尽的比较.研究结果表明:在线型优化最大熵线性预测方法的自回归模型系数三种求解方法中,修正协方差法要优于递推极大似然估计法和伯格法.     

迈克尔逊风场干涉仪基准光程差及步长误差容限分析

迈克尔逊干涉仪风场探测是在一定的基准光程差的基础上,通过动镜步进或四分区镀膜的方法,获得一个波长范围内步进间隔为λ/4的四步干涉强度.在此过程中存在的基准光程差误差及步长误差将对结果产生影响.对在一定的结果不确定度允许范围内的误差变量的容限值进行了讨论.在可以预知的误差存在情况下的精确结果的得出给出了计算方法.     

利用非规整膜系实现宽角度入射减偏振、减反射薄膜的研究

利用非均匀膜系理论对宽角度入射减偏振、减反射薄膜进行优化设计,分析了在宽角度入射的情况下,偏振光产生透过率不同的原因,选取了Na3AlF6、Ta2O5和Al2O3三种不同折射率材料,采用BK7作为基底,模拟设计了光谱区在500～560 nm波段、入射角为0~70°之间的多层减偏振、减反射薄膜,设计结果表明,薄膜的透过率得到大幅度提高.     

大功率高温超导滤波器的设计与功率测试

本文在双面YBCO高温超导薄膜上设计并制备了两节大功率超导滤波器,根据滤波器功率承载能力与最大电流密度之间的关系,减小电流密度和分散电流密度的分布是提高功率承载能力的关键.本文采用增加超导谐振器尺寸、优化几何结构及改进馈线耦合方式的方法,设计了两节2 GHz频段梭型谐振器结构的滤波器.设计及测量结果显示了馈线结构及谐振器几何尺寸优化程度对超导滤波器功率承载能力有不同程度的影响,说明了在大功率超导滤波器设计中应选用无结点间隙耦合式馈线以抑制电流密度的聚集.采用优化后的谐振器结构制备的梭型两节超导滤波器经测试功率承载能力为2 W.超导滤波器的尺寸为25×12 mm LaAlO3基片,中心频率2.022 GHz,相对带宽为2.4%.同时给出了超导滤波器功率测试的结构和方法.     

钕敏化多层壳纳米结构的增强型染料敏化上转换发光

对于稀土离子掺杂的上转换发光,由于稀土离子吸收截面小、吸收范围窄,导致其发光强度受限.最近,在稀土上转换纳米粒子的表面连接近红外染料分子敏化发光,被证实是提高上转换发光强度的有效策略.然而,将染料分子连接经典的稀土Yb掺杂纳米粒子,并不能有效利用染料分子的敏化能力.针对这一问题,本文通过高温热分解法成功制备了Nd3+敏...     

双圈拟阵

Sim■es Pereira于1992年提出双圈拟阵.本文讨论了(i)双圈拟阵及其秩函数;(ii)次模函数在双圈拟阵中的应用;(iii)双圈拟阵B(G)的横贯拟阵.主要结果:1°由圈矩阵Bf=[I,Bf12]和圈秩的概念,推出M(f0)为双圈拟阵;2°证明了双圈拟阵B(G)等于由子集族{Av∶v∈V(G)},e与v在G中相关联}所确定的横贯拟阵;3°用不同于Matthews(1977)的方法证明了(iii).     

The Multifunctional Role of Herbal Products in the Management of Diabetes and Obesity: A Comprehensive Review

Obesity and diabetes are the most demanding health problems today, and their prevalence, as well as comorbidities, is on the rise all over the world. As time goes on, both are becoming big issues that have a big impact on people’s lives. Diabetes is a metabolic and endocrine illness set apart by hyperglycemia and glucose narrow-mindedness because of insulin opposition. Heftiness is a typical, complex, and developing overall wellbeing worry that has for quite some time been connected to significant medical issues in individuals, all things considered. Because of the wide variety and low adverse effects, herbal products are an important hotspot for drug development. Synthetic compounds are not structurally diverse and lack drug-likeness properties. Thus, it is basic to keep on exploring herbal products as possible wellsprings of novel drugs. We conducted this review of the literature by searching Scopus, Science Direct, Elsevier, PubMed, and Web of Science databases. From 1990 until October 2021, research reports, review articles, and original research articles in English are presented. It provides top to bottom data and an examination of plant-inferred compounds that might be utilized against heftiness or potentially hostile to diabetes treatments. Our expanded comprehension of the systems of activity of phytogenic compounds, as an extra examination, could prompt the advancement of remedial methodologies for metabolic diseases. In clinical trials, a huge number of these food kinds or restorative plants, as well as their bioactive compounds, have been shown to be beneficial in the treatment of obesity.     

Discovery of β-Dihydroagarofuran-Type Sesquiterpenoids from the Leaves of Tripterygium wilfordii with Neuroprotective Activities

Nine undescribed dihydro-β-agarofuran sesquiterpenoid derivatives(1—9),along with a known analogue(10),were obtained from the leaves of Tripterygium wilfordii.Their gross structures were determined via extensive spectroscopic data,and the absolute configurations were elucidated by means of single-crystal X-ray diffraction analysis and electron circular dichroism(ECD)techniques,which include ECD exciton chirality,octant rule of saturated cyclohexanone and comparison between the experimental and calculated ECD spectra.All the isolated compounds were tested for their neuroprotective activities against H2O2-induced cell injury in human neuroblastoma SH-SY5Y cells.Compounds 5 and 6 improved cell viability by 16.15%and 15.12%compared with the H2O2 treated group at 25μmol·L^-1,respectively.     

EMD与神经网络在气液两相流流型识别中的应用

本文提出了EMD与Elman神经网络相结合的气液两相流流型识别的新方法.将压差波动信号经验模态分解(EMD)后的固有模态函数(IMF)进行分析、提取IMF能量作为Elman神经网络的输入特征向量,对水平管内的气液两相流流型进行识别.实验结果表明:该方法优于BP网络且稳定、识别率高,具有可行性.