降解多聚半乳糖醛酸菌株的诱变

从食品工业的废水池中筛选分离得到一株能有效降解多聚半乳糖醛酸的菌株,通过测定其16SrRNA的序列,证明该菌株属细菌类,命名为HDYM-02.为了使分离得到的原始菌株降解多聚半乳糖醛酸的能力达到实际应用的要求,运用硫酸二乙酯、叠氮钠、马来酰肼及紫外对降解多聚半乳糖醛酸生产菌菌株HDYM-02进行诱变,使用刚果红染色法对诱变得到菌株进行筛选,并检测突变菌株对多聚半乳糖醛酸降解能力,选育出高效降解多聚半乳糖醛酸的菌株.结果表明:出发菌株经过叠氮钠诱变30min时,诱变得到的菌株降解效率高,是出发菌株的1.66倍,达到实际应用的要求.     

Selection of leading industries for coal resource cities based on coupling coordination of industry’s technological innovation

Taking the city of Qitaihe is as an example in order to provide practical methods for the selection of leading industries for coal resource cities, this paper establishes the specific operation scheme for selection of leading industries according to the actual situation of coal resource cities based on the theory of coupling coordination together with the coupling coordination for technological innovation. The results show that the degree for coupling coordination of the technological innovation for each alternative industry differentiates with the development of coal resource cities. For example, the average degree of food processing industry from agricultural produce is 0.9. Therefore, coal resource cities should develop some industries related to coal industry, such as coking industry, some chemical and medicines industry and non-metallic mineral products manufacturing, in the near future, however, some industries with greater market and influence potentials and low carbon emissions should be attached much importance to in the future.     

New composite grouting materials: Modified urea–formaldehyde resin with cement

A new composite two component grout comprised of modified urea–formaldehyde resin and cement was formulated to take account of the advantages and disadvantages of both the cement grout and the chemical grout. The new grout is designed for water blocking by reinforcing as well as seepage control by bore grouting. The A component consists of a modified urea–formaldehyde resin A component, some cement, and some water. The B component is an alkaline coagulant. An orthogonal test of four factors at three levels showed that gel time increased with increased water content and with urea–formaldehyde resin content. Gel time decreased at increased levels of alkaline coagulant. The A component of this new composite grout is stable over time. A mixed cross-over test showed that as the volume ratio of A to B increases the gel time falls at first but then increases. The solid strength decreases with increasing levels of the B component. The solid strength increases over time and becomes stable by the 28th day after mixing. The viscosity increases with increasing levels of resin A component. The increase is exponential and may be fit to: μ = 8.162e^0.0286x.     

基于熵权的集对分析在水库移民后扶实施效果评价中的应用

通过实地调查、发放调查问卷、召开座谈会等形式获取新安江水库淳安县移民后期扶持实施监测评价数据,借鉴水库移民后期扶持资金使用效益评价指标体系的构建,选取后期扶持实施效果评价指标,应用集对分析对后扶实施效果进行评价。在确定各评价指标的权重时,将信息论中熵值理论引入该模型,运用信息熵所反映的监测评价数据的效用值计算各评价指标的权重。结果表明:新安江水库移民后期扶持政策实施效果总体上有效改善了移民村经济、社会和生态状况,评价结果与实际情况相符。     

模糊四元联系数在土质边坡稳定性评价中的应用

针对影响土质高边坡稳定性因素的复杂性和模糊性这一问题,将模糊四元联数与边坡稳定性评价相结合,提出了一种新的边坡稳定性计算方法,并利用该方法对燕麦沟边坡进行稳定性评价.分析结果表明,该方法能较全面地考虑边坡多参数的影响,能使边坡稳定性评价更全面、更符合实际,是一种适用于土质高边坡稳定性分析的合理算法.     

Overcoming challenges in the study of nitrided microalloyed steels using atom probe

Nitrided steels are widely used in the engineering field due to their superior hardness and other attractive properties. Atom probe tomography (APT) was employed to study two Nb-microalloyed CASTRIP steels with different N contents. A major challenge of using APT to study this group of materials is the presence of tails after Fe peaks in the mass spectra, which overestimates the composition for alloying elements such as Nb and Cu in the steels. One important factor that contributes to the tails is believed to be delayed field evaporation from Fe²⁺. This artefact of the mass spectrum was observed to be the most severe when voltage pulsing was used. The application of laser pulses with energy ranging from 0.2 to 1.2 nJ successfully reduced the tails and lead to better compositional measurement accuracy. Spatial resolution in the z-direction (along the tip direction) was observed to be less affected by changing laser energy but deteriorates in x-y direction with increasing laser energy. This investigation suggests that pulsed-laser atom probe with ∼0.4 nJ laser energy can be used to study this group of materials with improved mass resolution while still maintaining high spatial resolution.     

一种自适应正则化的图像超分辨率算法

提出一种自适应正则化的图像超分辨率重建算法. 首先, 利用局部残差均值自适应地计算各低分辨率图像通道的权值参数矩阵, 可有效地利用各通道对应区域间的交叉信息; 其次, 利用正则项局部误差均值自适应地计算平衡正则项和保真项的正则化参数矩阵, 能较好地保持图像边缘纹理等信息.实验结果表明本文算法不但具有较高峰值信噪比(Peak signal to noise ratio, PSNR) 和结构相似度(Structural similarity, SSIM), 而且在边缘、纹理等细节区域具有更好的重建效果.     

煤矿物联网中智能终端的设计与实现

智能终端是在煤矿物联网技术下通过感知井下人员周围环境提高煤矿安全生产水平的具体实现。介绍了智能终端的软硬件设计,采用低功耗GS1011智能芯片为硬件核心,以μ-velosity嵌入式操作系统为软件平台,实现井下环境参数采集、双向通信并为地面上位机提供定位信息。测试结果表明,智能终端完成了对周围环境的主动感知。     

Remote sensing image classification based on neural network ensemble algorithm

The amounts and types of remote sensing data have increased rapidly, and the classification of these datasets has become more and more overwhelming for a single classifier in practical applications. In this paper, an ensemble algorithm based on Diversity Ensemble Creation by Oppositional Relabeling of Artificial Training Examples (DECORATEs) and Rotation Forest is proposed to solve the classification problem of remote sensing image. In this ensemble algorithm, the RBF neural networks are employed as base classifiers. Furthermore, interpolation technology for identical distribution is used to remold the input datasets. These remolded datasets will construct new classifiers besides the initial classifiers constructed by the Rotation Forest algorithm. The change of classification error is used to decide whether to add another new classifier. Therefore, the diversity among these classifiers will be enhanced and the accuracy of classification will be improved. Adaptability of the proposed algorithm is verified in experiments implemented on standard datasets and actual remote sensing dataset.     

Holography: a behavior‐based profiler for malware analysis

Behavior‐based detection and signature‐based detection are two popular approaches to malware (malicious software) analysis. The security industry, such as the sector selling antivirus tools, has been using signature and heuristic‐based technologies for years. However, this approach has been proven to be inefficient in identifying unknown malware strains. On the other hand, the behavior‐based malware detection approach has a greater potential in identifying previously unknown instances of malicious software. The accuracy of this approach relies on techniques to profile and recognize accurate behavior models. Unfortunately, with the increasing complexity of malicious software and limitations of existing automatic tools, the current behavior‐based approach cannot discover many newer forms of malware either. In this paper, we implement ‘holography platform’, a behavior‐based profiler on top of a virtual machine emulator that intercepts the system processes and analyzes the CPU instructions, CPU registers, and memory. The captured information is stored in a relational database, and data mining techniques are used to extract information. We demonstrate the breadth of the ‘holography platform’ by conducting two experiments: a packed binary behavior analysis and a malvertising (malicious advertising) incident tracing. Both tasks are known to be very difficult to do efficiently using existing methods and tools. We demonstrate how the precise behavior information can be easily obtained using the ‘holography platform’ tool. With these two experiments, we show that the ‘holography platform’ can provide security researchers and automatic malware detection systems with an efficient malicious software behavior analysis solution. Copyright © 2011 John Wiley & Sons, Ltd.