100吨转炉设备安装

针对100吨转炉设备安装过程中设备重量超载，超高，无法直接采用行车安装的情况，采用了设备分体移位吊装，现场整体组合焊接的施工工艺方案，设计专用安装工装，确保了设备安装精度并一次安装到位。     

Minimum spanning trees made easier via multi-objective optimization

Many real-world problems are multi-objective optimization problems and evolutionary algorithms are quite successful on such problems. Since the task is to compute or approximate the Pareto front, multi-objective optimization problems are considered as more difficult than single-objective problems. One should not forget that the fitness vector with respect to more than one objective contains more information that in principle can direct the search of evolutionary algorithms. Therefore, it is possible that a single-objective problem can be solved more efficiently via a generalized multi-objective model of the problem. That this is indeed the case is proved by investigating the computation of minimum spanning trees.This work was supported by the Deutsche Forschungsgemeinschaft (DFG) as part of the Collaborative Research Center Computational Intelligence (SFB 531) and by the German-Israeli Foundation (GIF) in the project Robustness Aspects of Algorithms.     

矿业投资问题和对策——以铜矿开发为例

本文以铜矿开发为例 ,从 5个方面分析了矿山企业融资困难实际情况 ,并对改变矿业投资难的重要性和必要性做了详细论述 ,最后对解决矿业投资难问题提出了有效途径和办法     

Symbolic control of visual attention: The role of working memory and attentional control settings.

This study examined how 1 symbol is selected to control the allocation of attention when several symbols appear in the visual field. In Experiments 1-3, the critical target feature was color, and it was found that uninformative central arrows that matched the color of the target were selected and produced unintentional shifts of attention (i.e., involuntary, initiated slowly, producing long-lasting facilitatory effects). Experiment 4 tested whether such selection is the result of an attentional filter or of a competition bias due to a match of incoming information against integrated object representations stored in working memory. Here, the critical feature was shape and color was irrelevant, but matching color arrows were still selected. Thus, features of objects in working memory will bias the selection of symbols in the visual field, and such selected symbols are capable of producing unintentional shifts of attention. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

利用测井资料预测塔河油田地层破裂压力

针对塔河油田奥陶系碳酸盐岩油藏 ,介绍了地层破裂压力预测和地层裂缝高度预测的基本原理 ,选择了塔河油田 4口井的资料进行了破裂压力和裂缝高度预测的成果处理。为塔河油田奥陶系碳酸盐岩储层改造提供了较为可靠的施工参数     

岩盐钻井水溶双井连通开采工艺的研究与推广

文章就全国井矿盐采区多年的开采工艺技术，进行了系统的研究与总结，并提出了岩盐钻井水溶开采双井连通的各种开采工艺及其关键技术，具有很强的适用性和推广价值。     

阳泉市煤矿采空区地质因素对公路的破坏

介绍了阳泉市煤矿采空区对公路建设所造成的危害，对其上覆岩层变形破坏的地质因素及其破坏机理作了分析，指出应该采取各种措施减少对公路的破坏。     

Working memory in mild Alzheimer's disease and early Parkinson's disease.

Alzheimer's disease (AD) and Parkinson's disease (PD) impair working memory (WM). It is unclear, however, whether the deficits seen early in the course of these diseases are similar. To address this issue, the authors compared the performance of 22 patients with mild AD, 20 patients with early PD and without dementia, and 112 control participants on tests of inhibition, short-term memory, and 2 commonly administered tests of WM. The results suggest that although mild AD and early PD both impair WM, the deficits may be related to the interruption of different processes that contribute to WM performance. Early PD disrupted inhibitory processes, whereas mild AD did not. The WM deficits seen in patients with AD may be secondary to deficits in other cognitive capacities, including semantic memory. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

大规格圆钢质量分析和控制

针对湘钢棒材厂生产大规格圆钢出现的表面质量问题，重点介绍了在成品轧机后采用U形辊道和立活套替换棍道；冷床输入辊道采用镶WT合金套；增设高压水除鳞装置；中间轧件尺寸精度控制等措施，成功的解决了大规格圆钢表面擦伤、“麻面”、尺寸超差等表面质量问题，产品质量显著提高。     

Three perspectives of data mining

This paper reviews three recent books on data mining written from three different perspectives, i.e., databases, machine learning, and statistics. Although the exploration in this paper is suggestive instead of conclusive, it reveals that besides some common properties, different perspectives lay strong emphases on different aspects of data mining. The emphasis of the database perspective is on efficiency because this perspective strongly concerns the whole discovery process and huge data volume. The emphasis of the machine learning perspective is on effectiveness because this perspective is heavily attracted by substantive heuristics working well in data analysis although they may not always be useful. As for the statistics perspective, its emphasis is on validity because this perspective cares much for mathematical soundness behind mining methods.