The Power of Linear Recurrent Neural Networks

Recurrent neural networks are a powerful means to cope with time series. We show how a type of linearly activated recurrent neural networks, which we call predictive neural networks, can approximate any time-dependent function f(t) given by a number of function values. The approximation can effectively be learned by simply solving a linear equation system; no backpropagation or similar methods are needed. Furthermore, the network size can be reduced by taking only most relevant components. Thus, in contrast to others, our approach not only learns network weights but also the network architecture. The networks have interesting properties: They end up in ellipse trajectories in the long run and allow the prediction of further values and compact representations of functions. We demonstrate this by several experiments, among them multiple superimposed oscillators (MSO), robotic soccer, and predicting stock prices. Predictive neural networks outperform the previous state-of-the-art for the MSO task with a minimal number of units.Comment: 22 pages, 14 figures and tables, revised implementatio

Managing driver fatigue: education or motivation?

Fatigue has been recognised as the primary contributing factor in approximately 15% of all fatal road crashes in Australia. To develop effective countermeasures for managing fatigue, this study investigates why drivers continue to drive when sleepy, and driver perceptions and behaviours in regards to countermeasures. Based on responses from 305 Australian drivers, it was identified that the major reasons why these participants continued to drive when sleepy were: wanting to get to their destination; being close to home; and time factors. Participants’ perceptions and use of 18 fatigue countermeasures were investigated. It was found that participants perceived the safest strategies, including stopping and sleeping, swapping drivers and stopping for a quick nap, to be the most effective countermeasures. However, it appeared that their knowledge of safe countermeasures did not translate into their use of these strategies. For example, although the drivers perceived stopping for a quick nap to be an effective countermeasure, they reported more frequent use of less safe methods such as stopping to eat or drink and winding down the window. This finding suggests that, while practitioners should continue educating drivers, they may need a greater focus on motivating drivers to implement safe fatigue countermeasures

Mobile devices change the way medicine is taught, learned and practiced. That’s a great challenge for libraries

The papers in this special issue on mobile technologies have one thing in common. They all agree that “smartphones and tablet computers have become the new cultural ‘norm’ within personal and professional lives” (Fuller & Joynes). Especially tablets are used to enhance teaching, learning and practice of medicine.As you learn in this issue, some European medical schools have already recognized the value of tablet computers in learning and loan them or present them as a gift to students. Six from eight contributions regard tablets, which reflects pretty much the use we all recognize in lectures, libraries, on the ward, on the go

GLOBAL TRENDS IN INCOME DISTRIBUTION: LONG-RUN INFLUENCES ON INCOME INEQUALITY

This paper provides a comprehensive overview of the development in income distribution and outlines its major long-term trends of 23 countries worldwide. These countries are clustered in four groups covering the core advanced, the Nordic, the emerging, and the least developed economies of the world. This paper applies different measures to analyse income distribution in three dimensions: national income, functional income distribution, and personal income distribution. Depending on the indicators applied the time period ranges between 1960 and 2012. The empirical analysis shows that increases in national incomes are most pronounced in the advanced economies. The emerging economies also exhibit an upward trend in national income, but it has been less substantial. The least developed economies, however, have been detached from this trend and remain isolated. Moreover, this paper illustrates that there has been an enormous re-distribution of income. During the last three decades, the labour share of income has declined in nearly all countries under study. This development went hand in hand with increased personal income inequality. Disposable income inequality and market income inequality have both increased over the past 30 years. Wage dispersion also rose substantially contributing to greater income inequality. Additionally, the escalation of top income shares as well as the expansion of low paid employment has led to a growing gap between the top and the bottom income earners. This analysis also presents important interlinks between greater income inequality, the fall of the wage share, and increasing wage dispersion

Students are a source of inspiration for the library

Abstrac

Quantity and Elasticity Spillovers onto the Labor Market: Theory and Evidence on Sluggishness

Firms' beliefs that they may be unable to sell as much as they would like at the market price leads not only to a quantity spillover (even when prices are flexible) but also to a spillover of product demand elasticity onto the elasticity of labor demand. Hence, optimal firm behavior can be expected to produce a negative correlation between the (absolute value of) the wage elasticity and the unemployment rate. This hypothesis is tested on three sets of data. 1) For low-skilled workers in the United States in 1969 there is weak support for this hypothesis; 2) In time-series data for the U.S. there is no evidence for the hypothesis (there is essentially no cyclical variability in the elasticity); and 3) In time-series data for the United Kingdom there is fairly strong evidence supporting it. We also find that, in both the U.S. and the U.K., the demand elasticity for labor decreased in the 1970s to an extent that does not appear to be explained by changes in other factor prices.