电缆槽对电缆间串扰的影响研究

电缆在使用时一般会铺设在电缆槽中,而电缆槽对铺设其中电缆之间的串扰会形成影响.针对电缆槽中电缆之间的串扰问题,提出一种结合多端口网络理论及分块级联思想的建模方法,使用基于波导格林函数的矩量法来提取电缆槽中电缆间的分布参数,并用虚拟节点理论将提取的分布参数矩阵转化为模型中的传输函数.通过与商业电磁仿真软件的仿真结果进行对比,验证了本文的模型及算法在分析电缆槽中电缆间的串扰问题时具有较好的精确度,最后运用此方法分析了电缆处于电缆槽中不同位置时的线间串扰大小,并结合铁路现场的实际情况对电缆槽中电缆的布线方式提出了建议.     

Synthesis and evaluation of a C8 stationary phase on a silica hydride surface by hydrosilation of 1-octyne

The silanization/hydrosilation method is used to bond an alkyne (1-octyne) to a silica hydride surface. The new bonded material is characterized by elemental analysis and diffuse reflectance infrared Fourier transform spectroscopy. The hydrophobic behavior of this material was determined by the retention characteristics of aromatic solutes and the shape selectivity as well as phase classification (monomeric or polymeric) was measured by the polycyclic aromatic hydrocarbon mixture standard reference material 869. The presence of residual silanols on the bonded phase was probed by several basic solutes at pH 7. Long-term stability studies were conducted by measuring retention and peak symmetry of basic compounds over several thousand column volumes at pH 10.     

A facile approach to a d4 RuN: moiety

Replacement of chloride in (PNP)RuCl, PNP = (tBu2PCH2SiMe2)2N, by Me3SiN3 gives a pre-redox adduct that, already at -30 degrees C, releases N2 to produce the mononuclear nonplanar Ru(IV) nitride (PNP)RuN, characterized by spectroscopic and X-ray methods. DFT calculations show the planar structure to be only 1.6 kcal/mol less stable, which explains the time-averaged simplicity of the 1H NMR spectrum, as well as the large vibrational amplitude of the nitride ligand.     

CoMoK／γ—Al2O3水煤气变换催化剂的硫化及反硫化

以Ｈ２Ｓ和ＣＳ２作硫化剂，用ＰＰＳ和ＴＰＤＳ方法研究了水煤气变换催化剂ＣｏＭｏＫ／γ－Ａｌ２Ｏ３的硫化及反硫化过程。用Ｈ２Ｓ／Ｈ２硫化时，只发现Ｈ２Ｓ的消耗和Ｈ２Ｏ的生成，用ＣＳ２／Ｈ２硫化时，只发现Ｈ２Ｓ的消耗和Ｈ２Ｏ的生成。用ＣＳ２／Ｈ２硫化时，首先生成ＣＯ２，然后是ＣＨ４，Ｈ２Ｏ和Ｈ２Ｓ，ＴＰＧ实验表明催化剂表面上积炭，造成催化剂和活性降低，但积炭在水煤变换反应进行了逐渐除法。ＴＰＤＳ实验表     

哈拉里图的可靠性分析

在图的顶点相互独立地以常数据 概率失效的情况下，图的可靠度定义为删除失效顶点及顶关联的边所得到的图连通的概率。对一类具有最佳连通性的图－哈拉里图，得到可靠度的界，并分析了可靠度的渐近性质。     

CCCS 一体化教学环境

根据对计算机基础课教学的分析，开发了ＣＣＣＳ（Ｃｏｍｐｕｔｅｒｅｘｅｒｃｉｓｅｔｅｘｔｂｏｏｋ，Ｃｉｒ－ｃｕｍｓｔａｎｃｅ，ＣＡＩ，Ｓｔａｔｉｓｔｉｃｓ－－教材、环境、ＣＡＩ、统计反馈）计算机基础课一体化教学环境。ＣＣＣＳ把授课、上机实践、考试、成绩统计反馈作为一个整体，利用现代化教学手段，提供实用合理的环境，利用它可节省学时，提高学生的动手能力。     

后现代主义小说的"平面化"审美特征解析

“平面化”主要指:人物平面化,情节、结构平面化,背景平面化,主题平面化。“平面化”是后现代主义文学的主要审美特征之一,这一审美特征突出地表现在后现代主义小说创作当中。     

Photocatalytic degradation of trichloroethylene over BiOCl under UV irradiation

In this study, BiOCl samples were synthesized under different pH values and characterized by XRD, SEM, UV‐vis DRS, BET, photoelectrochemical measurement and PL. The photocatalytic performances of the as‐prepared samples were evaluated through the decomposition of trichloroethylene (TCE) under UV irradiation. The influences of several parameters such as solution pH and common inorganic anions on TCE removal were investigated. Results indicated that BiOCl‐0.6 exhibited better photocatalytic performance than BiOCl‐6.0 because of its higher migration ability of photo‐induced carrier. The photocatalytic degradation of TCE over BiOCl‐0.6 followed pseudo first‐order kinetics and appeared to be more efficient in acidic solution than in alkaline. TCE was almost completely dechlorinated in 120 minutes. The inhibiting effect of naturally occurring anions was in the order of HCO₃^‐ >SO₄^2‐ >NO₃^‐, while Cl^‐ exhibited a dual effect. Moreover, BiOCl‐0.6 exhibited superior reusability after three cycles of repetition tests.     

Chaos in social learning with multiple true states

Most existing social learning models assume that there is only one underlying true state. In this work, we consider a social learning model with multiple true states, in which agents in different groups receive different signal sequences generated by their corresponding underlying true states. Each agent updates his belief by combining his rational self-adjustment based on the external signals he received and the influence of his neighbors according to their communication. We observe chaotic oscillation in the belief evolution, which implies that neither true state could be learnt correctly by calculating the largest Lyapunov exponents and Hurst exponents.