网络技术专业校内生产性实训及效果分析

对北京信息职业技术学院网络技术专业校内生产性实训的实施过程和效果进行了总结与分析。从生产性实训设计思路、生产性实训载体、生产性实训的效果三个方面进行了论述。分析了网络技术专业校内生产性实训的设计思路、项目的组织、实训活动的安排以及实训的效果。     

阎王鼻子水库生态调度方案分析研究

本文在分析阎王鼻子水库建设前后下游水文情势变化的基础上,根据河道内生态不同需求和不同计算方法,确定水库下游河道基本生态流量和目标生态流量两种需求方案。在充分考虑大凌河流域河道外需水的前提下,研究分析了阎王鼻子水库最大程度满足河道内不同生态需水要求时的调度方案,对改善水库下游河道环境具有一定的指导意义。     

黄冈市农村卫生人才培养的现状与对策

本文采取问卷调查和文献查阅相结合的方式,对黄冈市卫生专业技术人员队伍现状进行了调查和分析,剖析了黄冈市农村卫生人才培养的方法和经验,提出了切实可行的农村卫生人才培养的对策与建议。     

探索物联网人才培养模式

物联网在众多领域有着广泛的应用,产业空间巨大。物联网人才的培养变的尤为重要。根据国家和东莞经济结构的调整及发展战略,本着服务地方经济的理念,调整高等院校的专业方向和专业结构;根据社会经济的需要和安排,制订高等院校的专业人才培养方案和课程标准;根据地方经济环境,建设物联网专业,培养企业需求的人才。     

20 kg铝锭铸造机铸模改进方案探讨

为了适应火车全面调速后货运高度的要求，提出了有效的铸模改进方案。对铸模改造前后的使用寿命进行了分析。通过改造达到了降低铝锭垛高的目的，同时延长了铸模的使用寿命。     

关于中国加入WTO后影视高等教育体系的构想

关于中国加入WTO以后,如何适应新的形势和面对新的竞争,从而构建新的影视高等教育体系?本文从以下三个方面进行了论述:21世纪是彩色读图时代,影视知识技术是人才所必备的三大基本知识技术之一;中国的影视教育必须构建学历教育、职业技能教育和成人继续教育相结合的国民教育体系以及四合一的教育教学模式和产学研相结合的人才培养体制及其运行机制。     

Curvilinear grids for WENO methods in astrophysical simulations

We investigate the applicability of curvilinear grids in the context of astrophysical simulations and WENO schemes. With the non-smooth mapping functions from Calhoun et al. (2008), we can tackle many astrophysical problems which were out of scope with the standard grids in numerical astrophysics. We describe the difficulties occurring when implementing curvilinear coordinates into our WENO code, and how we overcome them. We illustrate the theoretical results with numerical data. The WENO finite difference scheme works only for high Mach number flows and smooth mapping functions, whereas the finite volume scheme gives accurate results even for low Mach number flows and on non-smooth grids.     

Predicting and interpreting identification errors in military vehicle training using multidimensional scaling

We compared methods for predicting and understanding the source of confusion errors during military vehicle identification training. Participants completed training to identify main battle tanks. They also completed card-sorting and similarity-rating tasks to express their mental representation of resemblance across the set of training items. We expected participants to selectively attend to a subset of vehicle features during these tasks, and we hypothesised that we could predict identification confusion errors based on the outcomes of the card-sort and similarity-rating tasks. Based on card-sorting results, we were able to predict about 45% of observed identification confusions. Based on multidimensional scaling of the similarity-rating data, we could predict more than 80% of identification confusions. These methods also enabled us to infer the dimensions receiving significant attention from each participant. This understanding of mental representation may be crucial in creating personalised training that directs attention to features that are critical for accurate identification.

Practitioner Summary: Participants completed military vehicle identification training and testing, along with card-sorting and similarity-rating tasks. The data enabled us to predict up to 84% of identification confusion errors and to understand the mental representation underlying these errors. These methods have potential to improve training and reduce identification errors leading to fratricide.