钨酸镁催化超声降解金橙Ⅱ研究

采用水热法合成了钨酸镁(MgWO4)半导体催化剂,并使用金橙II为有机污染物模型研究了其声催化降解性能.结果表明:MgWO4具有良好的声催化活性,可显著提升超声对有机污染物的降解效果,而且MgWO4具有优秀的可重复利用性能.同时,MgWO4催化超声降解金橙Ⅱ的机理研究表明,产生的活性物质如羟自由基(·OH)、超氧阴离子自由基(·O2-)和空穴(h+)是声催化降解金橙II的主要原因.以上研究结果表明MgWO4作为声催化剂用于处理有机染料废水具有良好的应用前景.     

粉末涂料涂装工艺(Ⅰ)

介绍了粉末涂料的几种涂装方法及其原理、特点、应用范围和进展情况，重点介绍了静电粉末涂装方法。     

以废弃的耐火材料、高铝瓷、催化剂等生产耐磨陶瓷

从技术、经济、生态、政策等角度，对采用氧化铝和硅酸铝质工业废料制取耐磨陶瓷作了全面、系统的分析研究，论证了废渣制瓷技术上的可行性，阐明了经济上和生态上的优越性，提出了解决具体问题的办法。     

Preparation of micro-patterned surfaces of Si-N-O films and their influence on adhesion behavior of endothelial cells

Microgrooves were prepared on Si(100) surface by photolithography and wet etching.Subsequently,Si-N-O films were deposited on the microgrooves by unbalanced magnetron sputtering(UBMS) and micro-patterned surfaces of Si-N-O films were obtained.The size of the micropatterns was measured by surface profilometer.The chemical composition of Si-N-O films were characterized by X-ray photoelectron spectrometry(XPS) and the wettability of the micropatterned surfaces was evaluated by contact angle measurement.The beh...     

高等教育的公益性与高校学报的对应关系

高校学报是高等教育体系的有机组成部分,对高校学报的考察和定位不可脱离这一关系。高校学报的使命与高等教育的使命紧密相连,其基本属性与高等教育的基本属性是一致的。高校学报是公益性的出版单位,其出版的学报属于准公共产品。在出版业改革中,作为公益性出版的高校学报与所在学校的隶属关系无需改变。撇开与大学的整体关系,以刊论刊,孤立地将学报与营利性期刊等同对待是片面的。     

Experimental Study of Microstructure Evolution during Tempering of Quenched Steel and Its Application

LARGE-SIZED FORGINGS are usually intensivelyquenched to obtain the desired microstructuredistribution,high strength and hardness.Becauseresidual stresses are high in quenched large-sizedforgings,tempering processes follow quenchingprocesses to reduce the residual stress and obtain goodmechanical properties.Several differentmicrostructures are generated in quenched steelforgings,such as martensite,bainite and retainedaustenite.Modeling of microstructure evolution inquenched steel during …     

国外小电流空气等离子弧切割技术的发展

本文就小电流空气等离子弧切割工艺的特性、切割质量、切割设备、存在问题和应用情况作了综合介绍。当工作气体含氧量为20％时,切割速度急剧增加,大大优于气割。     

Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models

By combining of the benefits of high-order network and TSK (Tagaki-Sugeno-Kang) inference system, Pi-Sigma network is capable to dispose with the nonlinear problems much more effectively, which means it has a compacter construction, and quicker computational speed. The aim of this paper is to present a gradient-based learning method for Pi-Sigma network to train TSK fuzzy inference system. Moreover, some strong convergence results are established based on the weak convergence outcomes, which indicates that the sequence of weighted fuzzy parameters gets to a fixed point. Simulation results show the modified learning algorithm is effective to support the theoretical results.     

电网电压波动对变频器的危害及其解决措施

结合实际,介绍电压波动对变频器的影响,提出变频器过电压和欠电压两种不同情况的解决措施.     

FacetAtlas: multifaceted visualization for rich text corpora

Documents in rich text corpora usually contain multiple facets of information. For example, an article about a specific disease often consists of different facets such as symptom, treatment, cause, diagnosis, prognosis, and prevention. Thus, documents may have different relations based on different facets. Powerful search tools have been developed to help users locate lists of individual documents that are most related to specific keywords. However, there is a lack of effective analysis tools that reveal the multifaceted relations of documents within or cross the document clusters. In this paper, we present FacetAtlas, a multifaceted visualization technique for visually analyzing rich text corpora. FacetAtlas combines search technology with advanced visual analytical tools to convey both global and local patterns simultaneously. We describe several unique aspects of FacetAtlas, including (1) node cliques and multifaceted edges, (2) an optimized density map, and (3) automated opacity pattern enhancement for highlighting visual patterns, (4) interactive context switch between facets. In addition, we demonstrate the power of FacetAtlas through a case study that targets patient education in the health care domain. Our evaluation shows the benefits of this work, especially in support of complex multifaceted data analysis.