Approximation algorithms for minimizing segments in radiation therapy

Intensity modulated radiation therapy (IMRT) is one of the most effective modalities for modern cancer treatment. The key to successful IMRT treatment hinges on the delivery of a two-dimensional discrete radiation intensity matrix using a device called a multileaf collimator (MLC). Mathematically, the delivery of an intensity matrix using an MLC can be viewed as the problem of representing a non-negative integral matrix (i.e., the intensity matrix) by a linear combination of certain special non-negative integral matrices called segments, where each such segment corresponds to one of the allowed states of the MLC. The problem of representing the intensity matrix with the minimum number of segments is known to be NP-complete. In this paper, we present two approximation algorithms for this matrix representation problem. To the best of our knowledge, these are the first algorithms to achieve non-trivial performance guarantees for multi-row intensity matrices.     

二碘化钐在分子内环化反应中的应用

综述了二碘化钐在分子内环化反应中的应用。     

HAR-sEMG: A Dataset for Human Activity Recognition on Lower-Limb sEMG

Knowledge and Information Systems - In the past decade, human activity recognition (HAR) has grown in popularity due to its applications in security and entertainment. As recent years have...     

MapReduce Workload Modeling with Statistical Approach

Large-scale data-intensive cloud computing with the MapReduce framework is becoming pervasive for the core business of many academic, government, and industrial organizations. Hadoop, a state-of-the-art open source project, is by far the most successful realization of MapReduce framework. While MapReduce is easy- to-use, efficient and reliable for data-intensive computations, the excessive configuration parameters in Hadoop impose unexpected challenges on running various workloads with a Hadoop cluster effectively. Consequently, developers who have less experience with the Hadoop configuration system may devote a significant effort to write an application with poor performance, either because they have no idea how these configurations would influence the performance, or because they are not even aware that these configurations exist. There is a pressing need for comprehensive analysis and performance modeling to ease MapReduce application development and guide performance optimization under different Hadoop configurations. In this paper, we propose a statistical analysis approach to identify the relationships among workload characteristics, Hadoop configurations and workload performance. We apply principal component analysis and cluster analysis to 45 different metrics, which derive relationships between workload characteristics and corresponding performance under different Hadoop configurations. Regression models are also constructed that attempt to predict the performance of various workloads under different Hadoop configurations. Several non-intuitive relationships between workload characteristics and performance are revealed through our analysis and the experimental results demonstrate that our regression models accurately predict the performance of MapReduce workloads under different Hadoop configurations.     

Low-Temperature Superplastic Deformation of Cold-Rolled Fe–5.6Mn–1.1Al–0.2C Steel

Metallurgical and Materials Transactions A - A cold-rolled low Al-added medium Mn steel was employed to investigate the low-temperature superplastic deformation at a relatively high initial strain...     

电弧炉炼钢碳化硅白渣工艺的脱氧与脱硫

理论计算和实践表明，在电弧炉上采用碳化硅代替硅铁粉和碳粉的白渣还原工艺，可强化钢的脱氧和脱硫效果；提高电炉炼钢生产效率；降低吨钢电耗和生产成本。并指出，采用喷吹技术会进一步改善该工艺的炼钢技术经济效果。     

3D C/SiC复合材料在复杂环境试验中性能演变的两重性

用减压化学气相浸渗法(LPCVI)制备2组3D C/SiC复合材料,其中一组具有不同厚度的PyC界面层,另一组PyC界面层厚度一定,但经过热处理.对C/SiC复合材料在复杂环境中性能演变的两重性,即确定性和随机性进行了研究.结果表明,残余强度及其波动性对评价材料的环境适应性和可靠性是必需的.界面层和涂层是对氧化环境最敏感的微结构控制单元.以敏感度排序,3种环境参数依次是温度、气氛和应力.气氛参数的排序是氧气、水和盐,应力参数的排序是疲劳/蠕变,蠕变和疲劳.应力通过增加涂层裂纹及宽度从而加速复合材料的性能演变.氧化物薄膜有利于涂层裂纹封填,水能促进这种封填,然而疲劳/蠕变应力会使涂层裂纹封填失效.因此包括有氧气、水、疲劳和蠕变的环境是所有环境中最恶劣的.为了使复合材料具有自适应性,PyC的厚度应为最优,以提高热处理的效果;需保持适中的涂层氧化速率,以提高近表面抗氧化性.而适中的氧化速率是由温度和氧化气体分压来控制的.     

作保灵对长残效除草剂的解毒效应

利用田间试验方法研究保护剂长残效除草剂解毒效应。不同保护剂对豆磺隆解毒效应有差异，作保灵解毒效应最明显，但在除草剂高残留量时解毒作用下降。作保灵对三种长残效除草剂都具有明显的解毒作用，作物的出苗率可恢复80％～100％。解毒效应顺序为油莱＞白菜＞甜菜。     

微生物脱砷预处理难冶含砷金矿提金的研究

用化能自养的氧化铁硫杆菌和氧化硫硫杆菌，对河北半壁山含砷金精矿进行了公斤级的预处理氧化脱砷实验．在细菌预处理反应器中的连续和批式脱砷实验表明，目前选育的菌种是有效的．严格控制工艺条件，可以在4天左右便脱砷率高于80％．后续氰化提金实验证实，金的总回收率可达90％以上．用微生物脱砷预处理难冶含砷金矿有金浸出率高、便于固定浸出的砷、免除对环境污染的优点，是有很好应用前景的处理难冶含砷金矿的技术路线．