基于知识管理的校园网络系统模型

以知识管理理论为指导,提出了一个以知识共享系统模式构建的校园网络系统管理层次模型,并利用随机Petri网的理论和分析技术对所提出的层次模型进行了形式化描述和性能分析,进而获得使校园网络系统达到平稳状态的参数条件.     

MCNP模拟溴化镧探测器能量响应补偿

通过利用MCNP软件研究溴化镧探测器在探测X、γ射线空气比释动能率时的能量响应补偿的关键问题,提出一种快速确定溴化镧探测器前端铅补偿层尺寸大小的方法,为了保证空气辐射剂量测量的精确度方面达到效率高、成本低的效果。通过比较不同屏蔽物模型大小的方法,研究了能量响应的最小标准偏差。结果表明经过蒙特卡洛模拟发现在铅屏蔽体在厚度为6 mm,并且在6.1 mm(暴露面积8%)的中间开孔半径,溴化镧晶体的能量响应可见达到最佳。     

碳纤维/MC尼龙6原位复合材料的制备与表征

提出一种表面接枝尼龙6的碳纤维/MC尼龙6原位复合材料的制备方法并加以表征.通过对碳纤维表面的-COOH和-OH官能团进行异氰酸酯化并用己内酰胺稳定化,再将碳纤维加入到己内酰胺单体融体中,采用阴离子聚合方法制得表面接枝尼龙6的碳纤维/MC尼龙6原位复合材料.红外和热重分析都表明,碳纤维表面已接枝上异氰酸酯和己内酰胺.热重分析计算得接枝率为2.69%.用DSC研究复合材料的非等温结晶和熔融行为,结果表明碳纤维对基体尼龙6具有异相成核作用,并且结晶速度提高;碳纤维表面接枝的尼龙6在结晶前期对晶体生长有诱导和促进作用,而在结晶后期有位阻作用,使晶体的粒度变小,结晶的完善程度降低.拉伸实验表明,碳纤维/MC尼龙6原位复合材料的拉伸强度与MC尼龙6相近.     

Alkaline phosphatase assay using a near-infrared fluorescent substrate merocyanine 700 phosphate

Alkaline phosphatase (ALP) is a phosphomonoester hydrolase that is commonly used as a conjugating enzyme in biological research. A wide variety of substrates have been developed to assay its activity. In this study, we developed an ALP assay method utilizing merocyanine 700 (MC700) based substrate MC700 phosphate (MC700p). MC700 is a near-infrared fluorescent merocyanine dye, and has excitation/emission maxima at 686 nm/722 nm in ALP assay buffer. Upon hydrolysis by ALP, MC700p is converted to MC700. The fluorescence of MC700 is dependent on the pH and detergent concentration in the buffer. The fluorescence signal produced by MC700p hydrolysis is linearly related to the ALP amount and substrate concentration. A stop solution containing EDTA could be used to stop the ALP/MC700p reaction. It was also demonstrated that MC700p could substitute pNpp as the ALP substrate in a commercial 17β-Estradiol enzyme immunoassay kit.     

MC模拟无卷积全谱转换法测量X，γ辐射剂量

为了更好地进行环境X/γ辐射剂量的测量,通过对电制冷高纯锗探测器蒙特卡罗建模获取0.01～1.5 MeV能量范围内的能谱和剂量（率）值,并利用无卷积全谱转换法进行能谱-剂量转换研究。研究发现,通过无卷积全谱转换法计算得到的剂量率与模拟剂量率符合较好;通过在中国计量研究院环境γ辐射空气吸收剂量标准辐射场中进行Co-60和Cs-137放射源剂量率实验验证,结果显示,在0.01～1.5 MeV的能量范围内,通过能谱-剂量转换得到剂量率与标准剂量率的误差小于±10%,这表明通过无卷积全谱转换法进行能谱-剂量（率）转换系数的求解是可行的。     

双聚焦扇型磁式高分辨ICP-MS在人体铁稳定同位素示踪研究中的应用

铁营养学研究是解决我国普遍存在的缺铁性贫血的关键环节 ,铁及其同位素比值测定方法是铁营养学研究的基础。人们传统地采用放射性同位素示踪法、中子活化法、热电离质谱法等作为铁营养学研究的辅助手段。该工作使用扇型磁式双聚焦高分辨ICP MS测定食品和粪便样品中铁同位素比值 ,用 30 0 0分辨率以避免40 Ar1 6O ,40 Ar1 4 N对56Fe ,54Fe的干扰 ,以快速多次电扫描方式降低等离子体波动的影响 ,以 5 μg·mL-1Fe标准溶液多次测定 ,统计计算得出54Fe/56Fe ,57Fe/56Fe和58Fe/56Fe等同位素比值测量精度分别为 0 2 3,0 1 4 ,0 2 2 % ,方法准确可靠、简便快速、已应用于铁营养学研究中。     

MC/PMMA核-壳复合胶粒的制备与表征

采用原位乳液聚合法制备了三聚氰胺氰尿酸盐(M C)/聚甲基丙烯酸甲酯(PMM A)复合胶粒.扫描电镜(SEM)观测、X-光电子能谱(XPS)及热重(TGA)分析结果显示,在M C颗粒表面覆盖了一层PMM A胶膜,形成了具有核-壳结构的M C/PMM A复合胶粒,TGA结果还发现,M C能影响PMM A的热降解过程并促进其成炭.     

Molecular Analysis and Conformational Dynamics of Human MC4R Disease-Causing Mutations

Obesity is a chronic disease with increasing cases among children and adolescents. Melanocortin 4 receptor (MC4R) is a G protein-coupled transporter involved in solute transport, enabling it to maintain cellular homeostasis. MC4R mutations are associated with early-onset severe obesity, and the identification of potential pathological variants is crucial for the clinical management of patients with obesity. A number of mutations have been reported in MC4R that are responsible for causing obesity and related complications. Delineating these mutations and analyzing their effect on MC4R’s structure will help in the clinical intervention of the disease condition as well as designing potential drugs against it. Sequence-based pathogenicity and structure-based protein stability analyses were conducted on naturally occurring variants. We used computational tools to analyze the conservation of these mutations on MC4R’s structure to map the structural variations. Detailed structural analyses were carried out for the active site mutations (i.e., D122N, D126Y, and S188L) and their influence on the binding of calcium and the agonist or antagonist. We performed molecular dynamics (MD) simulations of the wild-type and selected mutations to delineate the conformational changes, which provided us with possible reasons for MC4R’s instability in these mutations. This study provides insight into the potential direction toward understanding the molecular basis of MC4R dysfunction in disease progression and obesity.     

计算植被生态学及其解决方案

初步提出了计算植被生态学这一新的生态学分支学科及其面向算法的计算机技术支持新方案,认为数据结构和算法研究是其核心研究内容之一.提出了按数学方法和计算机技术在生态学中的作用对现代生态学分支学科进行分类的MC划分方法,该方法能反映计算植被生态学的学科地位,其分类效果优于景观生态学时空尺度划分方法和应用生态学应用性-基础性划分方法.按照数据采集、存贮、分析和显示的流程分析了计算植被生态学的研究方法、研究内容及其主要支撑技术,认为计算植被生态学的建立有助于产生可被重复利用的生态学模型和算法,实现植被研究的计算机化,为区域可持续发展服务.