西门子7570C计算机系统的用户环境分析(英文)

西门子7570C计算机系统是第四代中型计算机系统。本文介绍了该系统的硬件配置和它的软件构成,分析了它的用户环境,讨论了这种用户环境下可能开展的应用与开发,指出了现用有户环境的局限性并提出了改造途径。     

等离子光量计测定稀土矿中的稀土元素

本法采用P507淋洗萃取树脂富集稀土离子,在低酸度下解脱稀土元素。控制酸度在0.6MHCI下定容,采用自制新型可拆卸的循环雾化系统,以等离子光量计分别测定15个稀土分量,实验结果表明,稀土总量在毫克量级的各稀土回收率在96.48～97.5％之间,满足矿石中测定稀土元素的要求,相对标准偏差为±0.6～6.5％。     

智能作战模拟系统IWGS

本文在简要分析作战模拟系统（ＷＧＳ）与军事专家系统（ＭＥＳ）的基础上，提出了一种将ＷＧＳ与ＭＥＳ有机结合而建设智能作战模拟系统。（ＩＷＧＳ）的方法论，并在最后扼要地介绍了我们研制的试验系统ＩＷＧＳ。     

PO Solution for Scattering by the Complex Object Coated with Anisotropic Materials

1 .INTRODUCTIONItisknownthatphysicaloptics(PO)hasbeenwidelyusedinfastpredictionofradarcrosssection (RCS)ofacomplexconductingorcoatedobject.POisadoptedwithoutexceptionamongtheissuedfamouscomputa tionalsoftwareofhigh frequencyEMscatteringbyacomplexobjectsuchasRECOTA[1 ] ,GRECO[2 ,3] ,X PATCH[4] ,whereonlytheisotropiccoatingisconcerned .However,theanisotropiccoatingencoun teredinsomepracticalapplicationsimpelsonetofindthesuitablesolutionforhigh frequencyscatteringbytheobjectcoatedwi…     

兴奋性-抑制性的平衡突触、回路、系统

兴奋性和抑制性的理想平衡是大脑正常功能和可塑性的根基，而当前对神经元的研究中，很大程度上忽视了细胞同时涉及到兴奋-抑制两方面平衡网络系统这一事实。我们对于兴奋性突触传递和修饰有着比较深入的理解，而对于抑制性中间神经元和它们对应的可塑性的探索则大大落后。本书以一种兴奋．抑制均衡的整合方式对神经元的有关功能进行了阐述，侧重于大脑各区域各种水平上这种平衡的建立、保持、修饰过程，同时结合神经学研究中多项最新方法、技术，为读者展示了分子水平、细胞水平直到系统水平上神经科学的多项研究热点。     

论中医学中的生物全息律

本文论述了中医学中的生物全息现象,及医学全息现象的生理学基础,同时也说明,生物全息律的揭示是对祖国医学的重大发掘.     

麻风杆菌多途径接种裸鼠的研究

用麻风杆菌经静脉内、后足垫和耳皮下多途径接种裸鼠。在裸鼠接种菌后307、334、497、和625天分别剖杀1—2只裸鼠,取接种足垫和耳部皮损、胭窝淋巴结、鼻、坐骨神经、尾部皮肤损害、舌、肝、脾、肺、肾和心脏称重后制成匀浆,作菌计数。同时各取部分组织作组织病理学检查。实验结果表明,裸鼠经过多途径接种麻风杆菌后,其菌量增殖明显高于以往报告的单途径接种方法所取得的结果。尤其在接种部位的后足垫及耳部,最高菌量分别达到2.85×10~11/g(497天)和6.28×10~12/g(625天)。虽然麻风杆菌的世代时间近似,但对数生长期时间明显延长。结果也表明,多途径接种方法能使裸鼠发生更严重的病变和系统性播散。组织病理学检查表明,经抗酸染色的足垫组织切片中,在横纹肌、血管壁内皮细胞和血管中均可见到大量抗酸杆菌(AFB)及菌团,皮神经束膜内外和雪旺氏细胞中也找到了许多AFB。最终在整个足垫组织中充满了AFB。HE染色呈瘤型麻风进行性病变,肉芽肿浸润由含大量AFB的泡沫细胞和巨噬细胞构成,直至泡沫细胞组成的麻风瘤病变完全代替了正常结构。各个部位相比较,低体温部位如足垫、耳、鼻及尾部仍然是麻风菌繁殖的优势部位。横纹肌及外周神经是麻风菌好侵犯之处,也显示了麻风菌在裸鼠体内感染的特点。     

Strategies of Collaboration in Multi-Swarm Peer-to-Peer Content Distribution

In modern Peer-to-Peer (P2P) content distribution applications, multiple swarms typically exist, each corresponding to the dissemination of one content among interested peers. A common design in the existing P2P applications is to allow peers in one swarm to help each other, while different swarms are only coupled when sharing the upload bandwidth at the dedicated content servers/publishers. In recent years, a number of proposals have emerged which advocate inter-swarm collaboration and resource sharing, where peers in one swarm may contribute their storage and bandwidth resources to help peers in the swarm of another content. Such inter-swarm collaboration can improve content availability and optimize resource uti-lization in the entire system, at the cost of additional overhead for content preloading and inter-swarm coor-dination. This paper presents a survey of studies on effective inter-swarm collaboration mechanisms in the existing literature. This paper first discusses strategies of collaboration in P2P file sharing applications, and then presents multi-channel collaborative design for P2P live and Video-on-Demand (VoD) streaming. In particular, this paper elaborates our recent design of collaboration strategies among multiple streaming channels in a P2P VoD system, and shows that the server cost can be reduced by up to 25% while high streaming qualities are guaranteed in the entire system, even during extreme scenarios such as unexpected flash crowds. This paper also discusses representative approaches to implement inter-swarm collaborations in various P2P content distribution systems.     

Missing Data Imputation for Traffic Flow Based on Improved Local Least Squares

Complete and reliable field traffic data is vital for the planning, design, and operation of urban traffic management systems. However, traffic data is often very incomplete in many traffic information systems, which hinders effective use of the data. Methods are needed for imputing missing traffic data to minimize the effect of incomplete data on the utilization. This paper presents an improved Local Least Squares (LLS) approach to impute the incomplete data. The LLS is an improved version of the K Nearest Neighbor (KNN) method. First, the missing traffic data is replaced by a row average of the known values. Then, the vector angle and Euclidean distance are used to select the nearest neighbors. Finally, a regression step is used to get weights of the nearest neighbors and the imputation results. Traffic flow volume collected in Beijing was analyzed to compare this approach with the Bayesian Principle Component Analysis (BPCA) imputation approach. Tests show that this approach provides slightly better performance than BPCA imputation to impute missing traffic data.