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9篇 您的检索式:作者名="S.Chang"
    题名 作者 年代 出处 被引量
1利用Thermo Scientific全新高分辨台式、四极杆静电场轨道阱Q-Exactive分析19种β-受体激动剂显示文摘β-受体激动剂.又称为β-兴奋剂,大家近期所熟知的瘦肉精一克伦特罗.莱克多巴胺等就是这一类兴奋剂。其是一类含氮激素中的苯乙胺类药物,苯乙胺类药物具有苯乙醇胺结构母核.苯环上连接有碱性的β-羟胺侧链。由于发现在饲料中添加β-叶芳挺 王勇为 James S.Chang 2011中国食品2011,,18:5
2黄斑裂孔诊断的新方法:自体荧光检测(英文)显示文摘目的评价自体荧光检测诊断黄斑裂孔的效果。方法应用自体荧光检测黄斑裂孔。对黄斑裂孔、手术修补术的患者(组1)和作为对照的黄斑假洞或黄斑皱褶的患者(组2),分别行眼底荧光血管造影、自体荧光检测、眼底彩照、无赤光和红外摄像检查,进行回顾性研究。其中自体荧光采用132型Heidelberg眼球探针,对所得到的9个图象进行平均处理。而所有患者手术前后都进行OCTIII检测。结果10个术前被自体荧光检测发现的黄斑裂孔均由OCT确诊,而且所有病例的自体荧光信号均与黄斑裂孔相对应。自体荧光也可应用于术后,以评价裂孔的闭合程度。在OCT确诊裂孔闭合的所有患者以及对照组10例黄斑皱褶或假洞患者,均没有发现自体荧光。对照组均由OCT证实,没有黄斑裂孔的发生。结论自体荧光检测是诊断黄斑裂孔的一个新方法,它同时能够检测术后黄斑裂孔的封闭效果,没有自体荧光则表明裂孔已封闭。A.P.Ciardella G.C.Lee K.Langton J.Sparrow Jay Klancnik S.Chang 2003国际眼科杂志2003,3,4:1
3Data Mining for Tunnel Support Stability:Neural Network Approach显示文摘Leu S C.Chen S.Chang 0,,04:1
4Temporal features of magnetic resonance imaging and spectroscopy in non‐ketotic hyperglycemic chorea‐ballism patients显示文摘K. ‐H.Chang J. ‐C.Tsou S. ‐T.Chen L. ‐S.Ro R. ‐K.Lyu H. ‐S.Chang W. ‐C.Hsu C. ‐M.Chen Y. ‐R.Wu C. ‐J.Chen 2010European Journal of Neurology2010,,4:1
5Development of dual‐compartment perfusion bioreactor for serial coculture of hepatocytes and stellate cells in poly(lactic‐co‐glycolic acid)‐collagen scaffolds显示文摘F.Wen S.Chang Y. C.Toh T.Arooz L.Zhuo S. H.Teoh H.Yu 2008J Biomed Mater Res2008,,1:1
6Tumour size, tumour complexity, and surgical approach are associated with nephrectomy type in small renal cortical tumours treated electively显示文摘Gregory J.Broughton Peter E.Clark Daniel A.Barocas Michael S.Cookson Joseph A.Smith Jr S. DukeHerrell Sam S.Chang 2012BJU International2012,,11:1
7Numerical Study on Dry Deposition Processes in Canopy Layer显示文摘A coupling model between the canopy layer(CL) and atmospheric boundary layer (ABL) for the study of dry deposition velocity is developed. The model consists of six parts: chemical species conservation equation including absorptive factor; the species uptake action including detailed vertical variation of absorptive element in CL; momentum exchange in CL which is represented by a first-order closure momentum equation with an additional larger-scale diffusive term; momentum exchange in ABL which is described by a complete set of the ABL turbulent statistic parameters; absorptivity (or solubility or reflection) at the surface including effects of the physical and chemical characters of the species, land type, seasonal and diurnal variations of the meteorological variables; and deposition velocity derived by distributions of the species with height in CL. Variational rules of the concentration and deposition velocity with both height and time are simulated with the model for both corn and forest canopies.雷孝恩 Julius S.Chang 1992Advances in Atmospheric Sciences1992,9,4:0
8Modeling for critical state line of granular soil with evolution of grain size distribution due to particle breakage显示文摘Determination of the critical state line(CSL)is important to characterize engineering properties of granular soils.Grain size distribution(GSD)has a significant influence on the location of CSL.The influence of particle breakage on the CSL is mainly attributed to the change in GSD due to particle breakage.However,GSD has not been properly considered in modeling the CSL with influence of particle breakage.This study aims to propose a quantitative model to determine the CSL considering the effect of GSD.We hypothesize that the change of critical state void ratio with respect to GSD is caused by the same mechanism that influences of the change of minimum void ratio with respect to GSD.Consequently,the particle packing model for minimum void ratio proposed by Chang et al.(2017)is extended to predict critical state void ratio.The developed model is validated by experimental results of CSLs for several types of granular materials.Then the evolution of GSD due to particle breakage is incorporated into the model.The model is further evaluated using the experimental results on rockfill material,which illustrates the applicability of the model in predicting CSL for granular material with particle breakage.Ching S.Chang Yibing Deng 2020Geoscience Frontiers2020,11,2:0
9Nanoscale plasma-activated aerosol generation for in situ surface pathogen disinfection显示文摘Plasma treatment constitutes an efficient method for chemical-free disinfection.A spray-based system for dispensing plasma-activated aerosols onto surfaces would facilitate disinfection of complex and/or hidden surfaces inaccessible to direct line-of-sight(for example,UV)methods.The complexity and size of current plasma generators(for example,plasma jet and cometary plasma systems)-which prohibit portable operation,together with the short plasma lifetimes,necessitate a miniaturized in situ technique in which a source can be simultaneously activated and administered on-demand onto surfaces.Here,we demonstrate this possibility by combining two nanoscale technologies for plasma and aerosol generation into an integrated device that is sufficiently small and lightweight.Plasma is generated on a carpet of zinc oxide nanorods comprising a nanoneedle ensemble,which when raised to a high electric potential,constitutes a massive point charge array with near-singular electric fields to effect atmospheric breakdown.The plasma is then used to activate water transported through an underlying capillary wick,that is subsequently aerosolized under MHz-order surface acoustic waves.We show that the system,besides being amenable to miniaturization and hence integration into a chipscale device,leads to a considerable improvement in plasma-activation over its macroscale cometary discharge predecessor,with up to 20%and 127%higher hydrogen peroxide and nitrite ion concentrations that are respectively generated in the plasma-activated aerosols.This,in turn,leads to a 67%reduction in the disinfection time to achieve 95%bacterial load reduction,therefore demonstrating the potential of the technology as an efficient portable platform for on-demand field-use surface disinfection.Nicholas S.L.Chew Kiing S.Wong Wei S.Chang Chien W.Ooi Leslie Y.Yeo Ming K.Tan 2022Microsystems & Nanoengineering2022,8,2:0
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