The relationship between motivation,learning approaches,academic performance and time spent

Previous literature calls for further investigation in terms of precedents and consequences of learning approaches (deep learning and surface learning). Motivation as precedent and time spent and academic performance as consequences are addressed in this paper. The study is administered in a first-year undergraduate course. Results show that the accounting students have a slightly higher score for deep learning compared to surface learning. Moreover, high intrinsic motivation and extrinsic motivation have a significant positive influence on deep learning. Next, deep learning leads to higher academic performance; surface learning on the other hand leads to lower academic performance. The effect of deep learning on performance still holds, when we control for time spent, gender and ability. Consequently we can conclude that a deep learning approach is much more than ‘simply’ spending a lot of time on studying.     

外部研发合作广度与新产品开发绩效：一个有调节的中介模型

基于企业外部合作伙伴分布广泛的特点,从外部研发合作广度的两个维度（市场广度和研究广度）出发,选取2010—2018年160家中国制造业上市企业数据,运用多元回归分析法探讨外部研发合作广度对企业新产品开发绩效的影响。结果表明,外部研发合作的市场广度和研究广度正向影响新产品开发绩效,其中,研究广度的作用更为显著;网络学习在外部研发合作广度对新产品开发绩效的影响机制中存在部分中介作用;知识库同质性正向调节外部研发合作广度与网络学习的关系。结论丰富了新产品开发绩效前因变量研究,对企业制定外部研发合作战略,提升新产品开发绩效具有重要管理启示。     

Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks

We present a hierarchical architecture based on recurrent neural networks for predicting disaggregated inflation components of the Consumer Price Index (CPI). While the majority of existing research is focused on predicting headline inflation, many economic and financial institutions are interested in its partial disaggregated components. To this end, we developed the novel Hierarchical Recurrent Neural Network (HRNN) model, which utilizes information from higher levels in the CPI hierarchy to improve predictions at the more volatile lower levels. Based on a large dataset from the US CPI-U index, our evaluations indicate that the HRNN model significantly outperforms a vast array of well-known inflation prediction baselines. Our methodology and results provide additional forecasting measures and possibilities to policy and market makers on sectoral and component-specific price changes.     

出口贸易是否促进了我国劳动生产率的持续增长——基于工业企业微观数据的实证检验

本文采用2000～2006年持续经营的工业企业数据实证分析了我国企业的出口行为对其劳动生产率增长率的作用。倍差法的Kernel倾向评分匹配估计结果表明,我国企业的出口行为能在出口后的1年或2年内将显著提高其劳动生产率增长率,但此后该影响作用并不显著,出口贸易未能促进我国劳动生产率的持续增长。进一步的实证分析发现,企业出口活动的"干中学"效应与出口加工贸易度和技术水平均密切相关,而通过出口贸易而产生的"扩张陷阱"只存在于出口加工贸易度高的(中)低技术行业以及金属制品业中。     

多媒体信息技术在地理教学中的应用

随着科技的高速发展,多媒体辅助教学在教育中发挥越来越大的作用。本文以地理教学为例,论述多媒体信息技术在地理教学中的应用。     

Probabilistic Models for Bacterial Taxonomy

We give a survey of different partitioning methods that have been applied to bacterial taxonomy. We introduce a theoretical framework, which makes it possible to treat the various models in a unified way. The key concepts of our approach are prediction and storing of microbiological information in a Bayesian forecasting setting. We show that there is a close connection between classification and probabilistic identification and that, in fact, our approach ties these two concepts together in a coherent way.     

浅论云南机床工具行业竞争力

从云南机床工具行业发展的历史沿革出发,着重从宏观层面探讨了云南机床工具行业的竞争优势;同时,对云南机床工具行业发展中存在的主要问题进行了讨论,并提出相应解决问题的思路和对策。     

激发学习动力,提高教学质量

学习动力是推动学生学习的内在力量 ,对提高教学质量十分重要。但目前相当一部分大中专学生学习动力不足。对策 :1、加强思想教育 ,端正学习态度 ,明确学习目的。2、在学习、生活上关心学生 ,加强师生间的感情交流。3、改进教学方法和手段 ,提高讲课艺术。     

Regret in auctions: theory and evidence

The sealed-bid first-price auction of a single object in the case of independent privately-known values is the simplest auction setting and understanding it is important for understanding more complex mechanisms. But bidders bid above the risk-neutral Nash equilibrium theory prediction. The reasons for this “over bidding” remain an unsolved puzzle. Several explanations have been offered, including risk aversion, social comparisons, and learning. We present a new explanation based on regret and a model that explains not only the observed over bidding in sealed-bid first-price auctions, but also behavior in several other settings that is inconsistent with risk aversion. The authors gratefully acknowledge support from the National Science Foundation.     

组合机床多轴箱设计CAI课件

介绍了以AutoCAD为平台所开发的组合机床多轴箱传动总体方案设计CAI课件的主要设计思想，并对设计过程中的一些关键技术作了简要说明。