教与学的新手段：浅谈多媒体在化学教学中的应用

在科技迅猛发展的今天,多媒体以图、文、声并茂的特点,越来越多地被应用于教育教学中.它容量大,形象、生动、直观,能激发学生学习的兴趣和求知欲望,培养学生科学素养和创新精神.     

网上CAI

用好现代先进技术，开展网络建设，是教育信息化的第一步。本文基于这一思想，介绍了网上CAI的设计思路，描述了该系统的功能，以及实现系统所采用的技术措施。     

魏书生培养学生语文自学能力探索--当代著名语文教改实验研究系列之一

魏书生以培养学生语文自学能力为教改实验的目的是正确的,有充分的理论依据的.其具体方法是提高认识、激发兴趣、教给方法、培养习惯.实验在总体策略上,遵循心理发展规律,对形成自学能力各心理因素进行全方位观照;在教学主体上,把学生主体地位真正落到了实处,将其内涵提到了更高、更深的层次;在学法指导上,运用现代科学方法创造了一系列适合学生自学的新学习方法.该实验是一项突破性的实验,它为语文乃至整个教育理论和实践的发展赋予了新的内容.     

面向“空巢”老人的虚拟现实娱乐系统研究

虚拟现实作为当下的一种高端技术，有着广泛的应用前景。在探寻建构适于老年人的虚拟现实娱乐系统的过程中，庄子的“坐忘”和马哈礼师的“超觉静坐”给了我们重要的启示。坐忘和超觉静坐所具备的身心效应是一种潜入内在的生命表征，这与虚拟现实所带来的身心沉浸状态具有高度的相似性，它们这种内在的相关性给予我们勇气和力量去构想一种坐忘式的虚拟现实娱乐系统，它是面向老年人的，并且具有激发创造力、激活潜能、促进健康等效能。那么，在我国人口老龄化进程日益加快的现实背景下，此种探讨应该具有重要的现实意义。     

Living Behind Dikes: Mimicking Flooding Experiences

Delta areas like the Netherlands are threatened by global climate change. Awareness is, however, rather low. Our research objective was to investigate whether coping responses to flooding risks could be enhanced in a virtual environment (VE). A laboratory experiment was conducted in which participants were exposed to a simulated dike breach and consequent flooding of their virtual residence. We tested the hypothesis that an interactive 3D flood simulation facilitates coping responses compared to noninteractive film and slide simulations. Our results showed that information search, the motivation to evacuate, and the motivation to buy flood insurance increased after exposure to the 3D flood simulation compared to the film and slide simulations. Mediation analyses revealed that some of these presentation mode effects were mediated by a greater sense of being present in the VE. Implications to use high‐end flood simulations in a VE to communicate real‐world flooding risks and coping responses to threatened residents will be discussed.     

Comments on the special issue of communications in statistics (vol.a8, no. 10) concerned with weather modification experiments

As stated by the Editors of the Special Issue. It was complied with reference to two of my statements; that much of the current weather modification literature is slanted and unreliable. and(2) that progress in the building of a reliable weather modification technology requires an interdisciplinary study of as many completed cloud seeding experiments as possible. The material published in the Special Issue relates to two completed experiments, the Tasmania and the Israeli experiments. It is shown that a realistic appraisal of a completed experiment requires a prolonged effort, including an examination of quite a few relevant publications and, on occasion, Some numerical work on published raw data. It appears that an interdisciplinary reanalysis of the Tasmania experiment can contribute to the development of a reliable cloud seeding technology.     

虚拟物流企业联盟资源共享的博弈分析

针对物流企业联盟虚拟化构成中资源分享的重要性,通过蛙鸣博弈的分析,提出实现虚拟物流企业联盟资源共享的建议。     

Analysis of a factorial quantal response assay using inverse regression

An inverse regression approach to analyzing quantal response assays with one quanritative independent- variable and any number of qualitative independent variables is presented. A general factorial model ror LQC- inverted relationship and methods of testing hypotheses estimating qulitative Interest are developed. This naper provides a modified method of analysis which is easier to apply than previously existing methods.     

高校园林专业实验、实践教学改革思考——以韶关学院为例

韶关学院特色园林设计专业围绕现代社会的需求，进一步加强园林专业的建设力度，从改善专业实验、实践条件入手，促进教育、教学资源的高效配置和综合利用，旨在为培养园林专业适用性人才夯实基础．     

Bayesian credible intervals for response surface optima

In response surface methodology, one is usually interested in estimating the optimal conditions based on a small number of experimental runs which are designed to optimally sample the experimental space. Typically, regression models are constructed from the experimental data and interrogated in order to provide a point estimate of the independent variable settings predicted to optimize the response. Unfortunately, these point estimates are rarely accompanied with uncertainty intervals. Though classical frequentist confidence intervals can be constructed for unconstrained quadratic models, higher order, constrained or nonlinear models are often encountered in practice. Existing techniques for constructing uncertainty estimates in such situations have not been implemented widely, due in part to the need to set adjustable parameters or because of limited or difficult applicability to constrained or nonlinear problems. To address these limitations a Bayesian method of determining credible intervals for response surface optima was developed. The approach shows good coverage probabilities on two test problems, is straightforward to implement and is readily applicable to the kind of constrained and/or nonlinear problems that frequently appear in practice.