CSCW 软件模型 SOWER 的设计及其实验系统 SOWERMail 的实现

本文在全面考察了计算机支持的协同工作（CSCW）和群件（groupware）这一研究领域的基础上提出了一个软件模型 SOWER 并实现了一个实验系统 SOWERMail。SOWER 具有三层树状结构，从上到下依次由 supervisor 、organizor 和 worker 组成。通过将通信与协调工作从其他模块分开，SOWER 模型试图构造一个能根据群体中的个人的实际需要而构筑本地系统，从而更好的适合群体需要的生产群件的方法。为此，本文详细描述了 SOWER 模型的底层结构以及其工作过程，并在实验系统 SOWERMail 中以最常用的群件－电子邮件－为例，作了初步尝试。最后，作为作者研究计算机支持的协同工作的体会，本文还讨论了几个当前与该领域有关的热门话题，并对它们提出了自己的看法。This thesis presents a software model called SOWER and implements an experimental system called SOWERMail after a survey of the academic field—Computer- Supported Cooperative Work (CSCW) and groupware. SOWER consists of treelike three layers with agent-based components named supervisor, organizer and worker, respectively. Through the separation of communication/coordination components from those deal with real jobs, we try to sketch a system that can be customized according to the requirement of single user in group/groups. To support this idea, infrastructures and functions of each component, and the construction procedure of SOWER software, are carefully described. Besides, in the trial system—SOWERMail, by developing an electronic mail client according to SOWER, we made the model alive tentatively. At last, we proposed our own ideas to several currently hot debates as what we have learned from the research

Study on the Emergence and Development of OrthographicAwareness in Chinese Preschool Children

研究旨在考察汉语学龄前儿童正字法意识的发展情况。在某中等城市一所幼儿园随机选择4岁、5岁、6岁三个年龄段的儿童各31、37、34名。实验一使用汉字、韩文和日文(平假名)作为实验材料探查学龄前儿童的汉字特异性意识;实验二使用上下结构、左右结构的真字、假字和非字考察学龄前儿童的部件位置意识。实验结果显示:(1)三组儿童都能区分日文和汉字,5岁左右儿童这种能力达到成熟。4岁儿童不能区分汉字和韩文,直到6岁,辨别汉字和韩文的能力也没有发展成熟。(2)三组儿童都能意识到假字符合正字法规则,但拒绝非字的能力在学前期尚未发展成熟,儿童在学前期不具备部件位置意识;6岁儿童更容易拒绝上下部件位置颠倒的非字。</p

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies