Generation of 7.8 ps electrical transients on a monolithicnonlinear transmission line

Picosecond electrical transients were generated by shock-wave formation on a GaAs monolithic nonlinear transmission line. An output fall time of 7.8 ps was generated by a single line driven at 15 GHz (20 ps input fall time), while 3.7:1 compression to 10.1 ps was attained for two cascaded lines     

Autonomous machine learning of effective control strategies with connectionist-net

We report on an investigation of the feasibility of using connectionist-nets of the Rumelhart semi-linear feedforward type for learning and exercising intelligent system control. Of particular interest is the ability of such nets to discover the basis for decision and control. Of great interest also is an unexpected finding that such nets automatically build up a great deal of redundancy within itself so that it has a certain holographic quality to it and its performance degrades gradually with internal damage.     

Non-isothermal crystallization kinetics and microwave properties of Bi0.75Y2.25Fe5O12 prepared by coprecipitation

The non-isothermal crystallization kinetics of Bi_0.75Y_2.25Fe₅O₁₂ powder prepared by coprecipitation has been investigated. The activation energy of crystallization was calculated by differential scanning calorimetry (DSC) at different heating rates. Analysis of non-isothermal DSC data presented values of 650 kJ/mol and 2.48 for the activation energy of crystallization and the Avrami exponent, respectively. This Avrami exponent value was consistent with surface and internal crystallizations occurring simultaneouly. The complex permittivity and permeability of Bi_0.75Y_2.25Fe₅O₁₂ were measured at X-band (8–12 GHz) by cavity perturbation technique. For dielectric properties, the real part of permittivity, ?′, was obtained in the range of 13.18–15.28. For magnetic properties, the real part of permeability, μ′, was obtained in the range of 12.21–20.98.     

Effects of Subcarrier Power Allocation on an Interference Avoidance Code Assignment Strategy for Multirate MC-DS-CDMA Systems

In this paper, we propose a joint subcarrier power allocation (SPA) and code assignment scheme for the synchronous multirate multicarrier direct-sequence code-division multiple-access (MC-DS-CDMA) system with time- and frequency-domain spreadings. Based on the newly defined metric multiple-access interference (MAI) coefficient, the proposed code assignment strategy can quantitatively predict the incurred MAI before assigning a spreading code. The SPA mechanism aims to maximize the received signal power. In addition to lowering the MAI, the proposed code assignment strategy further considers the compactness of the assigned codes in the entire 2-D tree structure. The simulation results show that the proposed joint SPA and code assignment strategy not only can reach a better received signal quality but can also achieve a high call admission rate.     

苎麻籽总黄酮含量测定方法比较研究

目的 比较苎麻籽总黄酮含量的测定方法。方法 以芦丁和槲皮素为对照品, 比较直接测定法、NaNO2-Al3+-NaOH法、AlCl3法3种比色方法下苎麻籽(70%乙醇提取液)的紫外-可见光谱图, 并通过精密度、稳定性、干扰试验、加标回收率试验对所选方法进行评价。结果 芦丁和槲皮素均不适合作为直接测定苎麻籽总黄酮的对照品; NaNO2-Al3+-NaOH法最大吸收波长为500 nm, 但受某些非黄酮类物质干扰, 使得该方法下的总黄酮含量测定值虚高; AlCl3法以芦丁为对照品, 测定波长为401 nm, 在0.004~0.02 mg/mL范围内浓度与吸光度值成良好的线性关系, 相关系数r2=0.9998, 该法受干扰小, 精密度高, 平均回收率为(99.46±4.16)%, 显色后在20~60 min内吸光值稳定。结论 AlCl3法简单可行, 适用于苎麻籽提取物中总黄酮含量的测定。     

基于色谱-质谱联用技术的食品中农药残留高通量非靶向检测技术研究进展

农药残留导致的食品安全事件威胁人们的健康和生命。现阶段食品中的农药残留具有品类多、残留量低且施用未知等特点,检测难度较大。因此,开发食品中农药残留高通量非靶向检测技术具有重要意义。色谱-质谱联用技术因具有高分离、高鉴别、高通量、非靶向等优点,在农药残留检测领域得到了广泛应用。本文对近10年国内外基于色谱-质谱联用技术的食品中农药残留高通量非靶向检测相关报道进行归纳和总结,简要介绍食品中多农药残留检测的现状,重点从多维色谱及高分辨质谱技术的开发、吸附材料及样品前处理技术的改进、化学计量学方法的优化等方面阐述色谱-质谱联用技术在食品中农药残留检测中的应用进展,并对其存在的问题提出相关建议,以期为色谱-质谱联用技术在食品中多农药残留检测领域的相关研究应用提供新的参考依据。     

Sintering behavior of Ni–Zn ferrite powders prepared by molten-salt synthesis

Ni_0.5Zn_0.5Fe₂O₄ powders were prepared by a novel molten-salt synthesis method. The effects of calcination processes of the powders on their sintering behaviors were investigated. Compared with the synthesis by traditional solid-state reaction, the proposed molten-salt method can significantly reduce the synthesis temperature of Ni_0.5Zn_0.5Fe₂O₄ from 800 to 550°C below, and the prepared powders have relatively high sintering activity at low temperature, which can thus decrease the sintering temperature. However, the abnormal growth of grains is easy to occur during sintering, thus resulting in uneven grain size. In particular, during the molten-salt synthesis, the holding time for calcination is a dominant factor affecting the activity and crystallization degree of the resultant powders. From the point of view of increasing the density of sintered bodies, the optimal conditions for synthesizing Ni_0.5Zn_0.5Fe₂O₄ powder by the proposed molten-salt synthesis is 400°C for 6 h. In addition, the saturate magnetization of the finally obtained ferrite ceramics has nothing to do with the preparation processes, while their coercivity depends on their densification and grain size caused by their different processing routes.     

Ensemble feature selection in medical datasets: Combining filter,wrapper, and embedded feature selection results

Feature selection is a process aimed at filtering out unrepresentative features from a given dataset, usually allowing the later data mining and analysis steps to produce better results. However, different feature selection algorithms use different criteria to select representative features, making it difficult to find the best algorithm for different domain datasets. The limitations of single feature selection methods can be overcome by the application of ensemble methods, combining multiple feature selection results. In the literature, feature selection algorithms are classified as filter, wrapper, or embedded techniques. However, to the best of our knowledge, there has been no study focusing on combining these three types of techniques to produce ensemble feature selection. Therefore, the aim here is to answer the question as to which combination of different types of feature selection algorithms offers the best performance for different types of medical data including categorical, numerical, and mixed data types. The experimental results show that a combination of filter (i.e., principal component analysis) and wrapper (i.e., genetic algorithms) techniques by the union method is a better choice, providing relatively high classification accuracy and a reasonably good feature reduction rate.     

浏阳豆豉发酵中高产酶活菌株的分离鉴定及酶活性分析

从浏阳豆豉发酵过程中分离产高酶活菌株,通过形态观察结合分子生物学技术进行鉴定,并对其产蛋白酶、脂肪酶及纤维素酶的活性进行分析。结果表明,分离得到3株菌（编号为000、5132、621）均被鉴定为溜曲霉菌（Aspergillus tamarri）。3株菌的蛋白酶、脂肪酶及纤维素酶的活性测定结果表明,菌株621蛋白酶活性最强,为（207.98±3.20）U/mL;菌株5132的纤维素酶活性最强,为（3.40±1.40）U/mL;菌株000的脂肪酶活性最高,为（90.7±0.64）U/mL。