对主从触发器工作原理的进一步探讨

触发器是有记忆功能的电路,若在工作过程中电路内部出现噪声信号,给电路的工作带来不可知因素,将无法预知电路的工作结果,对工作非常不利,而主从触发器由于本身结构所决定,若控制不好CP=1期间的输入信号,很容易出现这种问题。本文分析了可能出现上述现象的几种情况,以便在工作中有目的地加以避免。     

论元朝政权消亡的根本原因及其深刻的历史教训

元朝政权消亡的根本原因不是实行民族歧视和民族压迫政策,也不是全国大部分耕地逐渐集中到少数统治者手中,而是以元朝皇帝为首的统治集团的日愈腐败所造成。第一个认真总结元亡教训的人是明朝开国皇帝朱元璋。这反映在他建立明朝后所采取的一系列措施上。     

贪食蛇游戏的结构程序设计流程

在本篇文章中并不讨论游戏的规则,而只是实现一个游动的蛇,并通过该实现来看关于面向对象的设计。     

基于SOA的高校信息系统集成研究

研究了SOA的基本概念和体系结构,分析了将Web Service作为SOA实现技术的不足之处,阐明了SCA/SDO编程模型的优势,并针对高校信息化建设的现状,提出了基于SCA/SDO编程模型,对高校信息系统进行集成的SOA架构模型。     

An end-to-end deep generative approach with meta-learning optimization for zero-shot object classification

Zero-shot object classification aims to recognize the object of unseen classes whose supervised data are unavailable in the training stage. Recent zero-shot learning (ZSL) methods usually propose to generate new supervised data for unseen classes by designing various deep generative networks. In this paper, we propose an end-to-end deep generative ZSL approach that trains the data generation module and object classification module jointly, rather than separately as in the majority of existing generation-based ZSL methods. Due to the ZSL assumption that unseen data are unavailable in the training stage, the distribution of generated unseen data will shift to the distribution of seen data, and subsequently causes the projection domain shift problem. Therefore, we further design a novel meta-learning optimization model to improve the proposed generation-based ZSL approach, where the parameters initialization and the parameters update algorithm are meta-learned to assist model convergence. We evaluate the proposed approach on five standard ZSL datasets. The average accuracy increased by the proposed jointly training strategy is 2.7% and 23.0% for the standard ZSL task and generalized ZSL task respectively, and the meta-learning optimization further improves the accuracy by 5.0% and 2.1% on two ZSL tasks respectively. Experimental results demonstrate that the proposed approach has significant superiority in various ZSL tasks.     

基于EML构建移动学习资源对象单元的研究

教育建模语言(EML)是构建E-learning资源的技术。该研究以EML应用特征为基础,对移动学习资源进行特征分析,然后对EML在移动学习资源建设中的应用进行了详细的研究和可行性分析,提出了移动学习资源对象单元构建模型,并对该模型进行了关键因素分析,最后给出了EML在大学英语移动学习资源构建中的应用案例。     

新闻道德结构要素及主客体关系模式分析

新闻道德关系中的基本要素,以一定的方式构成了新闻道德的基本结构,它在理论的抽象意义上是稳定的。新闻道德主体、新闻道德客体、新闻道德中介是构成新闻道德结构的要素。新闻道德结构有两种基本模式:一是由主体和客体直接道德关系构成的直接模式;二是由中介将主客体道德关系联系起来的间接模式。     

论当代图书馆学研究范式的转变

摒弃为图书馆学研究对象寻找"本质"并致力于证成它们的研究思路,解构某些预设的"给定"在图书馆学研究中的先在性地位。图书馆学价值目标应该从一元走向多元,不仅要追求文献信息的传递效益,还应当承担更为广泛的社会道义。在图书馆学的研究内容上,必须突破图书馆自身小文本的局限,引入和图书馆有关的更为多样化的社会因子,从而多维度地选择、评价和权衡图书馆行为。颠覆图书馆学研究方法中对广泛的一致性话语的追求,运用多元并存的思维方式寻求对图书馆学现象的创造性解释。     

30 min of treadmill walking at self-selected speed does not increase gait variability in independent elderly

Walking is one of the preferred exercises among elderly, but could a prolonged walking increase gait variability, a risk factor for a fall in the elderly? Here we determine whether 30 min of treadmill walking increases coefficient of variation of gait in elderly. Because gait responses to exercise depend on fitness level, we included 15 sedentary and 15 active elderly. Sedentary participants preferred a lower gait speed and made smaller steps than the actives. Step length coefficient of variation decreased ~16.9% by the end of the exercise in both the groups. Stride length coefficient of variation decreased ~9% after 10 minutes of walking, and sedentary elderly showed a slightly larger step width coefficient of variation (~2%) at 10 min than active elderly. Active elderly showed higher walk ratio (step length/cadence) than sedentary in all times of walking, but the times did not differ in both the groups. In conclusion, treadmill gait kinematics differ between sedentary and active elderly, but changes over time are similar in sedentary and active elderly. As a practical implication, 30 min of walking might be a good strategy of exercise for elderly, independently of the fitness level, because it did not increase variability in step and stride kinematics, which is considered a risk of fall in this population.