How does e-mail use affect perceived control of time?

It is well established in the psychology literature that personality predicts performance to some degree. However, personality neither solely nor directly predicts outcomes. Rather, performance and outcomes unfold through context-specific mediating constructs. This study identified two constructs that mediate the relationship between proactivity and perceived control of time in e-mail use and tested the model with data from 251 knowledge workers. The results show that proactivity predicts the perceived control of time in e-mail use through both e-mail-specific time management behavior and e-mail self-efficacy. Further, greater e-mail self-efficacy leads to improved e-mail-specific time management behavior.     

A parallel algorithm with enhancements via partial objective value cuts for cluster-based wireless sensor network design

In this paper, we develop a parallel algorithm for the solution of an integrated topology control and routing problem in Wireless Sensor Networks (WSNs). After presenting a mixed-integer linear optimization formulation for the problem, for its solution, we develop an effective parallel algorithm in a Master–Worker model that incorporates three parallelization strategies, namely low-level parallelism, domain decomposition, and multiple search (both cooperative and independent) in a single Master–Worker framework.     

Parallel Training of An Improved Neural Network for Text Categorization

This paper studies parallel training of an improved neural network for text categorization. With the explosive growth on the amount of digital information available on the Internet, text categorization problem has become more and more important, especially when millions of mobile devices are now connecting to the Internet. Improved back-propagation neural network (IBPNN) is an efficient approach for classification problems which overcomes the limitations of traditional BPNN. In this paper, we utilize parallel computing to speedup the neural network training process of IBPNN. The parallel IBNPP algorithm for text categorization is implemented on a Sun Cluster with 34 nodes (processors). The communication time and speedup for the parallel IBPNN versus various number of nodes are studied. Experiments are conducted on various data sets and the results show that the parallel IBPNN together with SVD technique achieves fast computational speed and high text categorization correctness.     

Lower Bounds for Eigenvalues of Elliptic Operators: By Nonconforming Finite Element Methods

The paper is to introduce a new systematic method that can produce lower bounds for eigenvalues. The main idea is to use nonconforming finite element methods. The conclusion is that if local approximation properties of nonconforming finite element spaces are better than total errors (sums of global approximation errors and consistency errors) of nonconforming finite element methods, corresponding methods will produce lower bounds for eigenvalues. More precisely, under three conditions on continuity and approximation properties of nonconforming finite element spaces we analyze abstract error estimates of approximate eigenvalues and eigenfunctions. Subsequently, we propose one more condition and prove that it is sufficient to guarantee nonconforming finite element methods to produce lower bounds for eigenvalues of symmetric elliptic operators. We show that this condition hold for most low-order nonconforming finite elements in literature. In addition, this condition provides a guidance to modify known nonconforming elements in literature and to propose new nonconforming elements. In fact, we enrich locally the Crouzeix-Raviart element such that the new element satisfies the condition; we also propose a new nonconforming element for second order elliptic operators and prove that it will yield lower bounds for eigenvalues. Finally, we prove the saturation condition for most nonconforming elements.     

负压条件下氧化法的煤气脱硫工艺

针对HPF法及PDS法煤气脱硫流程温度梯度存在的问题,中冶焦耐工程技术有限公司在济南信赢煤焦化有限公司的焦化项目中,首次采用了负压条件下以氨为碱源的氧化法煤气脱硫工艺。通过对脱硫生产装置的测试表明,控制脱硫液中的氨含量在6.0～9.0g/L、悬浮硫小于4g/L、催化剂浓度为15～20ppm、盐类总量不超过300g/L、溶液pH值8.0～9.0、液气比为35～38L/m3等指标后,脱硫塔后煤气含H2S小于300mg/m3,脱硫效率大于95%。     

铁电薄膜存储器底电极Pt/Ti的制备及性能研究

应用射频磁控溅射方法 ,在Si基片上采用不同的溅射工艺制备了铁电薄膜底电极Pt/Ti,并分析了在不同温度下退火后材料的电导率性能和粘结力性能 ,从理论和实验上分析了不同的溅射工艺和退火处理对底电极性能的影响。     

Side-Surface Structure of a Commercial β-Silicon Carbide Whisker

The side surfaces of a commercial β-SiC whisker were analyzed by calculating the surface energy and observing the microstructure of the whiskers. The results indicated that the side surfaces displayed a type of zigzag structure and were composed of {111}, {110}, and {100} crystal planes.     

年最大洪峰流量群居蜘蛛优化投影寻踪预测模型

年最大洪峰流量预测,受较多的复杂因素的影响,不确定性较强,用常规统计方法做出准确预报具有较大困难。从水文序列本身出发,提出将投影回归模型应用于年最大洪峰流量预测,为了更好获得投影寻踪模型参数和预测精度,提出了运用延迟相关系数法确定回归预测因子、群居蜘蛛算法优化投影寻踪模型最佳投影方向参数a、利用最小二乘法确定多项式的权系数c、岭函数个数M的群居蜘蛛优化投影寻踪年最大洪峰流量预测模型,结合长江宜昌站(1882年-2004年)的年最大洪峰流量资料进行实例预测,训练阶段平均绝对相对误差为8.61%,预测阶段平均绝对相对误差为10.51%,该模型预测效果较好,模型结果稳定,可有效应用于年最大洪峰流量预测。     

抗氧剂F对聚甲醛热稳定作用的研究

采用220℃等温热失重率、222℃等温热失重速率、平衡扭矩、多次加工及长期热稳定性等分析方法研究对比了高相对分子质量受阻酚类抗氧剂F与Irganox245对聚甲醛(PCIM)的热稳定作用。结果表明:抗氧剂F可有效改善POM的热氧稳定性能。经五次挤出加工,试样的熔体流动速率(MFR)及黄色指数(YI)均较Irganox245低, MFR上升程度显著低于Irganox245,断裂伸长率及冲击韧性均较Irganox245高;经140℃长期热氧老化,试样的 MFR、YI及力学性能均与使用Irganox245相当,表明抗氧剂F能有效延长POM制品的热、氧寿命,其热稳定效能达到 Irganox245的水平,且用量较少,可将其推广应用于POM的生产中,进一步提高POM的热稳定性,降低生产成本。     

基于GF_1卫星的丹江口水库水面面积-蓄水量-水位相关性研究

基于GF_1卫星16m分辨率多光谱遥感数据及水文观测数据,通过计算NDWI水体指数来提取丹江口水库水面面积,并研究水面面积、水位与蓄水量三者之间的相关性,实现动态分析水库蓄水量变化情况,以期为"南水北调"提供决策支撑。研究发现:(1)南水北调中线首个调度年前后丹江口水库水面面积-水位,水位-蓄水量以及水面面积-蓄水量之间均为显著相关关系,且三对变量依次呈现明显的1次、2次、3次曲线关系,拟合曲线方程的决定系数分别达到0.976、0.999和0.980,因此可以根据其中一个已知变量预测其他两个未知量;(2)水面面积自2014年10月5日至2016年5月5日最大变化幅度相差180km~2,是影响周边环境变化的重要因素;(3)同时蓄水量在首个调度年内,于2014年11月初达到最大值204.10亿m~3,可调水量在16.53~78.93亿m~3范围内浮动,且年内整体变化平缓稳定,保证了2015调度年内南水北调中线工程的供水需求。