移动图书馆服务平台的服务质量优化实证

[目的/意义] 移动图书馆服务平台的感知质量优化,关系到未来移动图书馆的发展。本文力图为服务质量优化决策提供实例支持,促进移动图书馆服务平台优化改进的有形化。[方法/过程] 参考ITIL管理框架,结合移动图书馆服务平台的生命周期,类比构建了感知质量的优化框架,并以ML-1移动图书馆APP客户端为实证对象,提出一些数理指标来分析移动图书馆平台的用户、技术实现人员、管理决策人员对优化认知的判断,验证优化框架的实施过程。[结果/结论] 论文构建出一个层层递进的移动图书馆服务平台用户感知质量优化框架,依托实证分析结果,证实服务质量优化实施方案的有效性。     

管理信息系统的报表统计策略

总结了在管理信息系统开发中一般报表统计的常规策略，并特别针对育龄妇女管理信息系统中报表统计处理数据量大、统计速度慢等难点和关键问题，给出其报表统计模块的具体实现方法。     

科技期刊不同编务模式的比较研究

细致、高效、专业的编务能够夯实编辑工作基础.文中阐述编务工作的重要性,介绍并比较几种常见的编务流程模式,分析不同模式的适用范围和优缺点,提出优化编务流程的注意事项和方法.结合实例,论述横向模式之于科技期刊提升服务能力和提高质量水平的重要作用和意义.     

三层C/S结构报刊发行信息系统的设计实现

阐述了三层C/S体系结构的优点,Tuxedo中间件的主要功能和特点.介绍了在Linux操作系统下基于Tuxedo的三层C/S体系结构的报刊发行信息系统的设计与实现.     

DNA生物大分子的动力学特性与生物功能(Ⅱ)

对ＤＮＡ中激发的孤立子进行了分类，同时也研究了它的一些特点．我们着重研究了用此理论解释ＤＮＡ的基本生物功能──复制和转录及遗传与变异等问题．     

Hip and upper extremity kinematics in youth baseball pitchers

The purpose of this study was to examine the relationship between dynamic hip rotational range of motion and upper extremity kinematics during baseball pitching. Thirty-one youth baseball pitchers (10.87 ± 0.92 years; 150.03 ± 5.48 cm; 44.83 ± 8.04 kg) participated. A strong correlation was found between stance hip rotation and scapular upward rotation at maximum shoulder external rotation (r = 0.531, P = 0.002) and at ball release (r = 0.536, P = 0.002). No statistically significant correlations were found between dynamic hip rotational range of motion and passive hip range of motion. Hip range of motion deficits can constrain pelvis rotation and limit energy generation in the lower extremities. Shoulder pathomechanics can then develop as greater responsibility is placed on the shoulder to generate the energy lost from the proximal segments, increasing risk of upper extremity injury. Additionally, it appears that passive seated measurements of hip range of motion may not accurately reflect the dynamic range of motion of the hips through the progression of the pitch cycle.     

Timescales for exploratory tactical behaviour in football small-sided games

The aim of this study was to identify the dynamics of tactical behaviour emerging on different timescales in football small-sided games and to quantify short- and long-term exploratory behaviour according to the number of opponents. Two teams of four professional male footballers played small-sided games against two different teams with a variable number of opponents (3, 5 and 7). Data were collected using a combination of systematic observation and a non-differential global positioning system (15 Hz). The temporal diversity and structural flexibility of the players were determined by calculating the dynamic overlap order parameter q, entropy and trapping strength. Analysis of the exploratory dynamics revealed two different timescales, forming a different metastable landscape of action for each constraint. Fast dynamics lasted on average a few seconds and consisted of changes in tactical patterns. The long timescale corresponded to the shared tasks of offence and defence lasting tens of seconds. The players’ tactical diversity decreased with an increasing number of opponents, especially in defence. Manipulating numerical imbalance is likely to promote changes in the diversity, unpredictability and flexibility of tactical solutions. The fact that the temporally nested structure of constraints shaped the emergence of tactical behaviour provides a new rationale for practice task design. The manipulation of numerical imbalance on the timescale of a few tens of seconds, on which the exploratory behaviour of players saturates, may help coaches to optimise the exploratory efficiency of the small-sided games.     

C语言的指针

以具体实例详细介绍了C语言指针复杂说明的理解方法;分析指针使用中的常见错误及解决方法;利用指针和动态分配函数实现程序运行中堆的自由空间的支配和释放。     

非平衡多阶段物流系统建模与优化方法

首先提出了参数化界面分布的新概念,将一个非平衡多阶段物流系统转化为多个相互独立的单一阶段物流系统,然后采用Prüfer数对每个阶段上的物流模式进行编码.通过一种改进的解码方法,任何一个随机产生的Prüfer数都能够被解码为一个与物流系统的节点容量相匹配的可行的物流模式.基于这2点创新,建立了一种新的基于参数化界面分布和Prüfer数编码的系统建模方法,相应的遗传算法称为PIP-GA方法.与st-GA方法相比,PIP-GA不但具有更好的优化结果,而且需要的计算时间更少;虽然所需的存储空间有所增加,PIP-GA仍然是一种有效而稳健的非平衡多阶段物流系统建模与优化方法.     

一种自适应蚁群算法及其应用

蚁群算法是一种具有许多优良特性的新型算法,该算法具有较强的发现较好解的能力,但同时也存在容易出现停滞现象,收敛速度慢等缺点。在介绍基本蚁群算法的基础上,针对蚁群算法的不足,提出了一种自适应蚁群算法。该算法对蚁群算法中的信息素在更新过程中进行自适应调整。实验结果表明,该算法比传统的蚁群算法具有更好的搜索全局最优解的能力,并具有更好的收敛性。