Individuation, peers, and adolescent alcohol use: A latent growth analysis.

The study used latent growth modeling to investigate longitudinal relationships between individuation, peer alcohol use, and adolescent alcohol use among African American, Mexican American, and non-Hispanic White adolescents (N=6,048) from 7th, 8th, and 9th grades over a 3-year period. Initial levels of peer alcohol use were significantly related to changes in adolescents' alcohol use, whereas initial adolescent alcohol use also significantly related to changes in peers' alcohol use, suggesting a bidirectional relationship. Higher levels of intergenerational individuation were related to smaller increases in adolescent alcohol use and higher levels of separation were related to larger increases in youth drinking. The findings were similar across ethnic groups. Implications for development of prevention and intervention programs are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Facial detection and location based on skin color and eye characteristic

This paper comes true a system of facial detection and location. Firstly, it realizes the facial detection of candidate region used skin color for the given image, and considers the influence of similar skin. Secondly, it realizes the location for eye region used the gray characteristic of eye and correction of central measurement, and makes further selection for facial candidate region. The end, it normalizes the facial image and makes it as front standard image, so realizes the facial characteristic location.     

度量与分析域在同行评审中的实践

度量与分析域是CMMI中一个非常重要的过程域,但要在软件项目中有效实施却是困难的。同行评审是软件行业一致公认的最佳实践,软件企业越来越重视同行评审。本文探讨如何将度量运用于同行评审中,以促进同行评审的有效开展,最终达到保证软件质量的目的。     

高校教师激励机制探讨

激励是高校人力资源管理的核心因素。文章对现有的各种激励理论进行充分研究借鉴．通过较为科学的研究方法对各类型教师需求进行对比分析,并针对高校教师的需求特点提出相应的激励对策。     

基于分形理论P2P流量行为的自相似性

针对单个主机单个协议流量的自相似性和非宏观上流量的自相似性,分析了端到端（P2P）网络流量的自相似性. 对常见的端到端(P2P)应用进行分析后发现,其应用层数据存在自相似性,且在时间尺度与行为尺度的比较中,P2P应用层流量在行为尺度上的自相似性表现得更加明显和稳定. 为了将行为尺度上的自相似性应用到业务感知领域,提出了一种新的P2P流量识别算法,该算法通过计算网络流量不同行为尺度下的容量维,再辅以主动系数来识别P2P流量. 实验结果证明,新算法在P2P流量识别方面的准确率高于同类算法,在加密流量的识别上表现尤为突出.     

Structuring the peer assessment process: a multilevel approach for the impact on product improvement and peer feedback quality

In order to optimize students' peer feedback processes, this study investigates how an instructional intervention in the peer assessment process can have a beneficial effect on students' performance in a wiki environment in first‐year higher education. The main aim was to study the effect of integrating a peer feedback template with a varying structuring degree. The present study involved three conditions: a no structure, a basic structure and an elaborate structure condition. Due to a clear hierarchical structure, in which over time (level 1), 168 students (level 2) are nested within 37 groups (level 3), multilevel analysis was performed to examine the effect of time, student and group level influences on students' peer feedback quality and product scores. The results revealed that both peer feedback quality and product scores increase significantly for all conditions over time, after multiple practice occasions. In addition, after several practice occasions, significant differences were found between the conditions in both peer feedback (elaborate higher than no structure) and product scores (elaborate and basic higher than no structure). Building on this, limitations, directions for future research and practical implications are presented.     

基于内容分组与能力匹配的邻居选择算法

邻居选择算法是影响P2P文件共享系统的整体吞吐量和带宽利用率的关键技术之一.目前BT类P2P文件共享系统中的一些常用邻居选择算法一般存在着邻居节点间的内容可交换性差和带宽利用率低等问题.提出一种新的邻居选择算法,将节点按内容分组,由节点上报的上传、下载的字节数计算出带宽能力,让能力匹配的节点成为邻居.计算机仿真实验表明,新算法显著地提高文件共享系统的整体吞吐量,减少用户的平均下载时间,从而有效地改善P2P文件共享系统的整体性能.     

面向异构DHT存储的数据与位置解耦算法

分布式哈希表(distributed hash table, DHT)由于其高效的数据寻址方式而被广泛应用于分布式存储.传统DHT必须将数据存放在指定节点中才能实现高效的数据分布式寻址,极大地限制了DHT技术的应用范围.例如,在异构存储网络中,节点的存储空间、带宽、稳定性等均有较大差异,结合数据特征和节点性能差异选择合适的数据存放节点可以很大程度上提高数据的访问效率,而传统DHT数据和存储位置紧耦合的特征导致其难以应用于异构的存储网络中.针对此问题,提出了vRoute算法以实现DHT中数据标识与其存储位置的解耦.通过构建基于Bloom Filter的分布式数据索引, vRoute算法可以在不降低数据寻址效率的基础上允许数据存储在网络中的任意节点.通过扩展Kademlia算法实现了vRoute,并从理论上证明了vRoute算法的有有效性.最后,模拟实验表明vRoute以较低的存储、网络开销实现了和传统的DHT算法接近的数据寻址效率.     

实施《实验技术成果奖》后的成效与体会

实验技术成果奖的申报、评定办法的实施,极大地调动了实验室工作人员的积极性和创造性,发展了实验技术,是推动实验室建设的有效激励机制和竞争机制．