四方晶系下钕离子的基态分裂

采用点电荷晶场模型,通过模拟四方晶系化合物NdCuAs2和Nd2Ge2In的磁化率倒数-温度曲线,得到了Nd3+的各级分裂能和相应波函数,并分析了晶场效应对化合物磁性质的影响.结果表明,Kramers离子Nd3+的十重简并基态4I9/2在晶场效应的作用下分裂为5个双态,计算结果与实验吻合得较好.     

一种基于FPGA快速进位链的时间数字转换电路

设计了一种基于FPGA快速进位链的时间-数字转换电路.该电路采用延迟内插技术,引入双链结构消除建立/保持时间对寄存器阵列输出结果的影响,并采用半周期平均延迟测试法,在Xilinx Virtex-4芯片上实测获得了59.19ps的分辨率.该电路采用使能控制模块将寄存器阵列输出结果的锁定时间控制在一个时钟周期内.使用FPGA Editor软件对该电路中单级延迟宏单元进行配置,并利用用户约束文件替代传统的手工布局布线,使得电路具有可移植性.此外,利用该电路对实测芯片中的CLB组合开关参数进行了测试,结果满足数据手册中提供的参数值的范围.     

磁控形状记忆合金伸缩作动器设计及参数分析

该文基于磁控形状记忆合金（MSMA）材料自主设计了一种磁控形状记忆合金伸缩作动器,并阐述其原理。通过建立有限元模型,并对MSMA相对空气导磁率、导磁片的相对导磁率及电流等参数进行了分析。研究表明：当MSMA相对空气导磁率为30、电流大小为3 A时,MSMA棒中心线磁场的均匀性较好;而导磁片的相对导磁率对其均匀性影响较小。设计出了一种新型磁控形状记忆合金伸缩作动器,达到了从理论上充分掌握MSMA棒轴向磁场强度及均匀性,并间接地保证了磁控形状记忆合金伸缩作动器具有较优的控制力。     

EGFAFS: A Novel Feature Selection Algorithm Based on Explosion Gravitation Field Algorithm

Feature selection (FS) is a vital step in data mining and machine learning, especially for analyzing the data in high-dimensional feature space. Gene expression data usually consist of a few samples characterized by high-dimensional feature space. As a result, they are not suitable to be processed by simple methods, such as the filter-based method. In this study, we propose a novel feature selection algorithm based on the Explosion Gravitation Field Algorithm, called EGFAFS. To reduce the dimensions of the feature space to acceptable dimensions, we constructed a recommended feature pool by a series of Random Forests based on the Gini index. Furthermore, by paying more attention to the features in the recommended feature pool, we can find the best subset more efficiently. To verify the performance of EGFAFS for FS, we tested EGFAFS on eight gene expression datasets compared with four heuristic-based FS methods (GA, PSO, SA, and DE) and four other FS methods (Boruta, HSICLasso, DNN-FS, and EGSG). The results show that EGFAFS has better performance for FS on gene expression data in terms of evaluation metrics, having more than the other eight FS algorithms. The genes selected by EGFAGS play an essential role in the differential co-expression network and some biological functions further demonstrate the success of EGFAFS for solving FS problems on gene expression data.     

Effective College English Vocabulary Teaching

There are over two million modern English words, thus English becomes a language with the largest vocabulary in the world. Moreover, English vocabulary is constantly being renewed and enlarged with the development of the society and advancement of science and technology. So vocabulary development becomes language learners’ top priority. Unfortunately, learning English words by rote can’t guarantee that students will have a large vocabulary, let alone enable students to make practical use of the words they h...     

城镇燃气管网应急处置知识图谱构建与应用

标准是一种重要的信息传导工具和知识载体,其为社会经济的持续发展提供了必要的技术支持。当前城市燃气管网领域已具有相对充分的标准资源,但非系统化的燃气标准规范难以满足事故应急响应快速性和精准性查询和匹配要求。本文聚焦城镇燃气管网应急标准文献,借助知识图谱构建技术,针对 城镇燃气领域的标准文献进行逻辑辨析和整理,构建城镇燃气管网应急处置和救援的知识图谱,通过实例挖掘展现出知识图谱在燃气管网事故应急处置中的决策支持价值以及相关标准化系统自我完善中的纠错工具价值。     

Recent advances in theoretical models of respiratory mechanics

As an important branch of biomedical engineering, respiratory mechanics helps to understand the physiology of the respiratory system and provides fundamental data for developing such clinical technologies as ventilators. To solve different clinical problems, researchers have developed numerous models at various scales that describe biological and mechanical properties of the respiratory system. During the past decade, benefiting from the continuous accumulation of clinical data and the dramatic progress of biomedical technologies (e.g. biomedical imaging), the theoretical modeling of respiratory mechanics has made remarkable progress regarding the macroscopic properties of the respiratory process, complexities of the respiratory system, gas exchange within the lungs, and the coupling interaction between lung and heart. The present paper reviews the advances in the above fields and proposes potential future projects.     

Cross‐linked Multilayer Polymer‐Clay Nanocomposites and Permeability Properties

Abstract

Electrostatically layered aluminosilicate nanocomposites have been prepared by the sequential deposition of poly(allylamine hydrochloride)/poly(acrylic acid)/poly(allylamine hydrochloride)/saponite (PAH/PAA/PAH/saponite)₁₀ on poly(ethylene terephtalate) (PET) film. Exfoliated saponite nanoplatelets were obtained by extensive shaking, sonication, and centrifugation of a water suspension. To minimize permeability and improve the mechanical integrity, cross‐linking of composite films was carried out at different temperatures. The formation of amide linkage induced through heating was observed by Fourier Transform Infrared (FT‐IR) and x‐ray photoelectron spectroscopy (XPS). The cross‐linking of nanocomposites (PAH/PAA/PAH/saponite)₁₀ showed 60% decrease in permeability of oxygen when compared with the pristine PET substrate film. In contrast, water permeability of the nanocomposite membrane was not affected by heating temperature and deposition cycles.     

Simultaneous determination of 11 related impurities in propofol by gas chromatography/tandem mass spectrometry coupled with pulsed splitless injection technique

A variety of related impurities, including starting materials, process impurities, and degradation products, can be detected in propofol. In this article, a sensitive and selective GC‐MS/MS method using pulsed splitless injection technique for the determination of 11 main related impurities in propofol in one chromatogram is investigated. This method is extensively validated for its linearity, recovery, precision, LOD, and LOQ, and is able to detect trace‐level related impurities (LOD = 0.2–5.6 μg/g) in propofol bulk drug. Stressed tests proposed that oxidative degradation, photolytic degradation, and heat are the main causes for the formation of degradation products in propofol.