Covalent triazine framework with efficient photocatalytic activity in aqueous and solid media

Covalent triazine frameworks (CTFs) have been recently employed for visible light-driven photocatalysis due to their unique optical and electronic properties. However, the usually highly hydrophobic nature of CTFs, which originates from their overall aromatic backbone, leads to limitations of CTFs for applications in aqueous media. In this study, we aim to extend the range of the application media of CTFs and design hybrid material of a CTF and mesoporous silica (SBA-15) for efficient photocatalysis in aqueous medium. A thiophene-containing CTF was directly synthesized in mesopores of SBA-15. Due to the high surface area and the added hydrophilic properties by silica, the hybrid material demonstrated excellent adsorption of organic molecules in water. This leads not only to high photocatalytic performance of the hybrid material for the degradation of organic dyes in water, but also for efficient photocatalysis in solvent-free and solid state. Furthermore, the reusability, stability and easy recovery of the hybrid material offers promising metal-free heterogeneous photocatalyst for broader applications in different reaction media.     

Superior foetal electrocardiogram signal elicitation using a novel artificial intelligent Bayesian methodology

Innumerable casualties due to intrauterine hypoxia are a major worry during prenatal phase besides advanced patient monitoring with latest science and technology. Hence, the analysis of foetal electrocardiogram (fECG) signals is very vital in order to evaluate the foetal heart status for timely recognition of cardiac abnormalities. Regrettably, the latest technology in the cutting edge field of biomedical signal processing does not seem to yield the desired quality of fECG signals required by physicians, which is the major cause for the pathetic condition. The focus of this work is to extort non-invasive fECG signal with highest possible quality with a motive to support physicians in utilizing the methodology for the latest intrapartum monitoring technique called STAN (ST analysis) for forecasting intrapartum foetal hypoxia. However, the critical quandary is that the non-invasive fECG signals recorded from the maternal abdomen are affected by several interferences like power line interference, baseline drift interference, electrode motion interference, muscle movement interference and the maternal electrocardiogram (mECG) being the dominant interference. A novel hybrid methodology called BANFIS (Bayesian adaptive neuro fuzzy inference system) is proposed. The BANFIS includes a Bayesian filter and an adaptive neuro fuzzy filter for mECG elimination and non-linear artefacts removal to yield high quality fECG signal. Kalman filtering frame work has been utilized to estimate the nonlinear transformed mECG component in the abdominal electrocardiogram (aECG). The adaptive neuro fuzzy filter is employed to discover the nonlinearity of the nonlinear transformed version of mECG and to align the estimated mECG signal with the maternal component in the aECG signal for annulment. The outcomes of the investigation by the proposed BANFIS system proved valuable for STAN system for efficient prediction of foetal hypoxia.     

An architecture to support scalable distributed virtual environment systems on grid

A Distributed Virtual Environment (DVE) system offers a computer-generated virtual world in which individuals located at different places in the physical world can interact with one another. In order to achieve real-time response for a large user base, DVE systems need to have a scalable architecture. In this paper, we present the design of a grid-enabled service oriented framework for facilitating the construction of scalable DVE systems on computing grids. A service component called “gamelet” is proposed, whose distinctive mark is its high mobility for supporting dynamic load sharing. We propose a gamelet migration protocol which can ensure the transparency and efficiency of gamelet migration, and an adaptive gamelet load-balancing (AGLB) algorithm for making gamelet redistribution decisions at runtime. The algorithm considers both the synchronization costs of the DVE system and network latencies inherent in the grid nodes. The activities of the users and the heterogeneity of grid resources are also considered in order to carry out load sharing more effectively. We evaluate the performance of the proposed mechanisms through a multiplayer online game prototype implemented using the Globus toolkit. The results show that our approach can achieve faster response times and higher throughputs than some existing approaches. This research is supported in part by the China National Grid project (863 program) and the HKU Foundation Seed Grant 28506002.     

苏6井区下石盒子组高分辨率层序地层学特征

以高分辨率层序地层学理论和技术方法为指导，在苏里格气田苏6井区地表露头、钻井岩心、测井、地震资料综合研究的基础上，通过基准面旋回结构、叠加样式的沉积动力学分析，将该井区下石盒子组划分为2个长期、5个中期和14个短期旋回层序；并较为详细地讨论了各期旋回层序特征；建立了以长期旋回层序界面和最大洪泛面为等时年代地层框架，以中期旋回层序为等时地层单元的高分辨率层序地层格架；通过分析，认为下石盒子组盒₈下段天然气储、盖条件最为有利；有利于储层发育的河道砂体主要出现在长、中期上升半旋回的中、下部，层序界面上相当短期旋回级别的单河道砂体是下石盒子组天然气勘探开发的主要目标。     

东海盆地油气勘探焦点问题探讨

东海盆地自西向东可分为 3个带 ,即西部断陷带、中部隆起带和东部断坳带 ,其构造格局各具特色 ,并且均有自身的烃源岩。西部断陷带由多个以古新世为发育高峰期的半地堑组成 ,主要烃源岩为下古新统湖相泥岩 ,该带有利的勘探区是丽水、椒江凹陷 ,围绕下古新统主力烃源岩寻找油气是丽水、椒江凹陷油气勘探的焦点 ;中部隆起带是中生界残留盆地的叠置区 ,主要烃源岩为侏罗系湖相泥岩 ,福州凹陷是该带较有利的勘探区 ,烃源岩的规模、潜力以及圈闭保存条件是福州凹陷油气勘探的焦点 ;东部断坳带是厚度逾万米的新生代沉积断坳区 ,主要烃源岩为始新世煤系地层 ,该带有利的勘探区是西湖凹陷 ,烃源岩和盖层条件是西湖凹陷油气勘探的关键。目前 ,东海盆地比较现实和最具勘探前景的地区是西湖凹陷及丽水、椒江凹陷     

博兴洼陷沙四上亚段高精度层序格架研究

博兴洼陷下第三系沙四上亚段滩坝砂体十分发育，主要是一套砂泥岩的薄互层，横向变化快，在地震剖面上难以识别和描述，用常规的地质研究方法难以预测砂体的分布趋势。本文应用高精度层序地层学的原理和方法，通过测井、岩心资料的综合分析，重点对沙四上亚段进行了高精度层序地层划分，共识别出了5个具有等时意义的水进面（四级层序界面），建立了洼陷内沙四上亚段的四级层序格架，在四级层序格架基础上进行了沉积体系分析，并对层序发育的控制因素进行了探讨。本研究对洼陷内隐蔽油气藏的进一步勘探具有重要的指导意义。     

基于框架/构件的虚拟仿真概念

介绍了一种基于构件的软件体系结构，在该体系结构下设计的虚拟仿真系统可以实现最大程度上的通用性。     

新形势下电气工程及其自动化专业人才培养模式与知识体系框架

在分析了当前高等教育培养基本模式的基础上，根据科学技术和社会经济发展的要求，提出了人才培养的模式和要求。特别针对电气工程及其自动化领域的发展趋势以及对人才的需求，提出了该专业人才的知识框架体系。     

面向对象的桌面应用框架层次模型

当前有一类加入了互联网络特色的桌面应用，如即时通和游戏等，正不断取得市场上的成功。针对这种桌面应用，从高层视角给出了一种面向对象的应用框架层次模型，以帮助这类应用的快速开发．模型分三层：管理层、主框层、大粒度GUI构件层。描述了各层的主要成分和责任，以及各层之间的关系，并在最后给出了一个实例。