超临界CO2气溶胶溶剂萃取法制备尤特奇S100纳米颗粒

采用超临界CO2气溶胶溶剂萃取法(ASES)制备了尤特奇S100(Eudragit S100)纳米粒,考察了有机溶剂的选择、压力、温度、溶液浓度及流速等主要工艺参数对Eudragit S100纳米粒形貌及粒径大小的影响,并采用扫描电镜、傅立叶红外光谱分析对结果进行了表征。结果表明,在以丙酮作为溶剂、压力为16 MPa、温度为45℃、溶液浓度为1 mg/m L的工艺条件下,可制备出有机溶剂残留少、分布均匀、平均粒径为30~60 nm的Eudragit S100纳米颗粒。纳米粒子的平均粒径随温度、压力的升高而减小,随溶液浓度的减小而减小。     

Demography of the Yarrow's spiny lizard, Sceloporus jarrovii , from the central Chihuahuan Desert

The demography of a population of Yarrow's spiny lizard, Sceloporus jarrovii , was examined from 2004 to 2006 in the canyon Las Piedras Encimadas, located in Gomez Palacio, Durango, México. Lizards were studied using a mark-recapture technique. Reproduction in females occurred between November and May, coinciding with dry conditions. Reproductive activity was highest (percent of females with vitellogenic follicles or embryos) in the middle of the dry season (November and December). Thirteen percent of females reached sexual maturity at an average age of 8.5 months. The population structure was similar in spring and fall, but not in summer. A notable feature of summer, coinciding with the wet season, was the greater number of hatchlings and juveniles. The overall sex ratio did not differ from 1:1. The density of adults varied from 12 to 62 animals ? 0.5 ha –1 . Temperate and arid-adapted populations of S. jarrovii exhibited broad similarity in timing of the reproductive season, whereas factors such as density, growth, age at sexual maturity, and survivorship differed.     

Method to Identify Similarity and Dissimilarity between Systems Engineering and Neighboring Disciplines

1IntroductionSystems Engineering(SE)has been widelyused in many fields worldwide since WWII.Despite beingin use for nearly70years,there islittle consensus onthe definitionandscope of SE,and it is very difficult to answer the question“What is SE?”exactly…     

Simulated and reconstructed winter temperature in the eastern China during the last millennium

Since the 1990s, under the auspicious impetus of two international research programs, the “Past Global Changes” (PAGES) and the “Climate Variability and Pre- dictability” (CLIVAR), massive research work has been carried out on climate and environment changes over the past 2000 years[1-3]. But majority of the studies has been centered on obtaining various kinds of climatic proxy data (such as historical documents, tree rings, ice cores, lake cores) and focused on the reconstruction of…     

Preparation of composite tubular grafts for vascular repair via electrospinning

A novel type of composite vascular graft was developed via electrospinning in the present investigation.Collagen and chitosan were blended to form the inner and outer layer.Poly(1-lactide-co-caprolacto...     

LANDSAT MSS数据和混浊海水的频谱分布关系的定量分析(英文)

本文首先阐述了利用LANDSAT地球资源卫星多光谱扫描数据,在ERDAS(地球资源数据分析系统)上,通过细心地选择“训炼子区”,对中国黄河口水域的泥沙分布进行了监督性分类。同时本文详尽地论述了通过合理选取初始值与边界条件,利用高斯-赛得尔迭代数学方法对黄河口上空大气层的瑞利散射效应进行了理论计算,进而对相应研究区域的MSS数据进行了大气参数校正。在现有的地面不同泥沙含量的水体反射光谱特性数据的基础上,对不同频带进行泥沙与反射光谱的回归分析,并通过F-检验得出某一频带的最佳回归方程。最后求导出黄河口水域的泥沙分布。     

Dynamic Analysis of Cable Roofs Under Transient Wind:A Comparison Between Time Domain and Frequency Domain Approaches

At present, high-speed computing capabilities and advanced nonlinear dynamic finite element procedures enable detailed dynamic analysis of cable structures. Although deterministic approaches require considerable analysis time and effort in relation to modeling, running, and data processing, they seem to be the only alternative to obtain high accuracy. Detailed dynamic analysis of cable roof networks is sophisticated and requires advanced modeling expertise. This paper presents a comparison between detailed nonlinear dynamic analysis and a simplified frequency domain approach to estimate the maximum probable response of weakly nonlinear cable roofs. The approach can be considered as alternative to detailed time-domain analysis in the preliminary design phase, or can be used to validate results obtained from more elaborated numerical models. The proposed method is illustrated with two examples of cable net roofs that were also analysed in the time domain.     

An oscillatory neural network and dynamical associative memory

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Fluid inclusions evidence for differential exhumation of ultrahigh pressure metamorphic rocks in the Sulu terrane

Since the discovery of coesite and diamond inclusions in eclogites from the Dabie-Sulu orogen, east-central China[1―3], this largest ultrahigh pressure (UHP) metamor- phic terrane in the world has attracted extensive scientific interests. A number of hydrous minerals such as zoisite, phengite, magnesite and talc have been found in the UHP rocks, showing that fluids have played an important role in this type of extreme metamorphic evolution[4―8]. Sev-eral techniques have been applied to th…     

Experimental and numerical study on plasma nitriding of AISI P20 mold steel

In this study, plasma nitriding was used to fabricate a hard protective layer on AISI P20 steel, at three process temperatures (450°C, 500°C, and 550°C) and over a range of time periods (2.5, 5, 7.5, and 10 h), and at a fixed gas N₂:H₂ ratio of 75vol%:25vol%. The morphology of samples was studied using optical microscopy and scanning electron microscopy, and the formed phase of each sample was determined by X-ray diffraction. The elemental depth profile was measured by energy dispersive X-ray spectroscopy, wavelength dispersive spectroscopy, and glow dispersive spectroscopy. The hardness profile of the samples was identified, and the microhardness profile from the surface to the sample center was recorded. The results show that ε-nitride is the dominant species after carrying out plasma nitriding in all strategies and that the plasma nitriding process improves the hardness up to more than three times. It is found that as the time and temperature of the process increase, the hardness and hardness depth of the diffusion zone considerably increase. Furthermore, artificial neural networks were used to predict the effects of operational parameters on the mechanical properties of plastic mold steel. The plasma temperature, running time of imposition, and target distance to the sample surface were all used as network inputs; Vickers hardness measurements were given as the output of the model. The model accurately reproduced the experimental outcomes under different operational conditions; therefore, it can be used in the effective simulation of the plasma nitriding process in AISI P20 steel.