Teleporting <Emphasis Type="Italic">N</Emphasis>-qubit unknown atomic state by utilizing the V-type three-level atom

Realizing the teleportation of quantum state, especially the teleportation of N-qubit quantum state, is of great importance in quantum information. In this paper, Raman-interaction of the V-type degenerate three-level atom and single-mode cavity field is studied by utilizing complete quantum theory. Then a new scheme for teleporting N-qubit unknown atomic state via Raman-interaction of the V-type degenerate three-level atom with a single-mode cavity field is proposed, which is based upon the complete quantum theory mentioned above.     

网络信息计量的数据挖掘技术研究

网络信息计量的数据挖掘技术研究是运用数据挖掘技术方法发现网络信息计量中的数据特征模式,利用现代可视化软件工具,开发网络信息计量中的数据特征模式的可视化系统,满足网络信息分析人员使用更复杂、更为强大的数据挖掘技术分析、处理数据的要求,为网络信息计量学理论研究及其方法和技术的丰富与发展开拓新的方向,为网络信息计量学规律应用于数据挖掘领域提供平台.     

分子亲脂-亲水性的量子化学描述II. 氨基酸侧链的亲水指标和亲脂指标

在启发式亲脂势HMLP (heuristic molecular lipophilicity potential)的基础上提出了分子、分子片段和原子的亲水指标和亲脂指标. 计算出了20个天然氨基酸侧链的亲水、亲脂指标和亲水、亲脂表面积, 并用线性自由能函数表达氨基酸侧链的溶剂化自由能, ΔG_sol,i^θ＝b₀＋b₁L_i＋b₂H_i＋b₃S_i^＋＋b₄S_i^－. . 应用线性自由能函数和氨基酸侧链的亲水和亲脂指标, 计算了20个氨基酸残基的3种相转移自由能(蒸气-水、蒸气-正辛醇、正辛醇-水)和正辛醇-水分配系数logP_ow, 取得了与实验值高度一致的良好效果. HMLP的亲水和亲脂指标是HMLP的指标化, 扩展了这一方法的使用范围. 氨基酸侧链的亲水、亲脂指标和线性自由能函数有望用于生物大分子受体与配体的结合自由能的估算、蛋白质的结构与功能、蛋白-蛋白相互作用和识别的研究.     

化学信息论——21世纪化学的重要课题之一

简要地介绍了1987年诺贝尔化学奖得主、法国化学家莱恩(Lehn)在定义超分子化学时所提出的化学信息论的概念 ,在审视有关化学信息论的近期发展中的一些问题的基础上 ,对Lehn提出的分子识别、化学反应智能化和化学信息论以及施耐德(Schneider)在1994年提出的分子机器理论进行了分析和思辨 ,并对这个领域的近期理论工作 ,提出了建议.     

对我国图书馆学情报学方法论研究存在问题的探讨

从《近十几年我国图书馆学情报学方法论研究综述》入手,探讨了我国图书馆学与情报学方法论研究存在的问题和以后的发展方向。     

Information Hiding in the DICOM Message Service and Upper Layer Service with Entropy-Based Detection

The DICOM (Digital Imaging and COmmunication in Medicine) standard provides a framework for a diagnostically-accurate representation, processing, transfer, storage and display of medical imaging data. Information hiding in DICOM is currently limited to the application of digital media steganography and watermarking techniques on the media parts of DICOM files, as well as text steganographic techniques for embedding information in metadata of DICOM files. To improve the overall security of the DICOM standard, we investigate its susceptibility to network steganographic techniques. To this aim, we develop several network covert channels that can be created by using a specific transport mechanism – the DICOM Message Service and Upper Layer Service. The bandwidth, undetectability and robustness of the proposed covert channels are evaluated, and potential countermeasures are suggested. Moreover, a detection mechanism leveraging entropy-based metrics is introduced and its performance has been assessed.     

情报学专业毕业生就业竞争力调研

通过对武汉大学情报学相关专业毕业生就业情况的调查,分析了情报学专业毕业生的就业竞争力问题。     

从临界转变的角度理解地震预测技术

侦测重大地震前相关的地震活动度异常,以此作为地震预测基础理论的研究,在近十年内常被提出讨论。其中有两个典型的算法,包括美国加州Rundle教授的“震模信息学”算法和北京尹祥础教授的“加卸载响应比值”算法。前者旨在揭示地震活动度的高异常变异性;后者则藉助于日、月引力的响应,来研究地壳块体的受损程度。文章从“临界转变理论”出发,认为不管是高异常地震活动度变异,或是象征地壳材料已严重受损的高加卸载响应比值,都是地壳即将出现临界转变（亦即重大地震）的早期征兆。也就是说,原由两个独立研究群体提出的地震活动度算法,实为临界转变的前兆信号的一体两面,可以在临界转变理论下统一起来。     

Biomedical Vibrational Spectroscopy in the Era of Artificial Intelligence

Biomedical vibrational spectroscopy has come of age. The past twenty years have brought many advancements and new developments and now its practitioners face a new challenge: artificial intelligence. Artificial intelligence has the capability to detect meaningful relationships in data sets such as those found in an infrared or Raman spectrum. The present narrative assesses the degree to which biomedical vibrational spectroscopy has already embraced artificial intelligence and what can be expected going forward. This article belongs to the Special Issue Biomedical Applications of Infrared and Raman Spectroscopy.     

XML-based data management system for combinatorial solid-state materials science

Informatics tools are an important part of the high-throughput or combinatorial materials development process. Particularly for thin film studies, the rate of sample synthesis and characterization has increased to a point where the throughput of the whole materials development process is limited by the ability to process the characterization data and design new experiments. We describe in this work software tools that we have developed to solve the data management problems. In particular, we discuss the use of extensible markup language (XML) to address the problem of representing structurally varied experimental data in a data management system without having to make modifications to the core software parts whenever the materials processing or characterization tools or sample and data handling procedures change.