The Development of Dynamic Facial Expression Recognition at Different Intensities in 4- to 18-Year-Olds

The primary purpose of this study was to examine the effect of the intensity of emotion expression on children's developing ability to label emotion during a dynamic presentation of five facial expressions (anger, disgust, fear, happiness, and sadness). A computerized task (AFFECT—animated full facial expression comprehension test) was used to display facial emotion expressions as animations with four levels of intensity (35, 50, 75, and 100 percent). In this study, which employed a cross-sectional design, 240 participants from 4 to 18 years completed the AFFECT. Results indicated that recognition ability developed for each of the emotions, with the exception of disgust, over the age range tested. Girls were more accurate than boys, especially for anger and disgust expressions. Recognition accuracy was found to increase as a function of the intensity of emotional expressions.     

Likelihood Elasticity and Error Bounds

In this note it is shown that the Fisher information can be related to elasticity, a very important concept in economics. This economic concept can be used to provide a more intuitive meaning of the Fisher information in some important situations.     

Space‐time cluster identification in point processes

The authors propose a new type of scan statistic to test for the presence of space‐time clusters in point processes data, when the goal is to identify and evaluate the statistical significance of localized clusters. Their method is based only on point patterns for cases; it does not require any specific knowledge of the underlying population. The authors propose to scan the three‐dimensional space with a score test statistic under the null hypothesis that the underlying point process is an inhomogeneous Poisson point process with space and time separable intensity. The alternative is that there are one or more localized space‐time clusters. Their method has been implemented in a computationally efficient way so that it can be applied routinely. They illustrate their method with space‐time crime data from Belo Horizonte, a Brazilian city, in addition to presenting a Monte Carlo study to analyze the power of their new test.     

Corporate governance,family ownership and performance

Using a sample of 56 Italian IPOs issued between 1999 and 2005, several hypotheses are tested on the interplay between corporate governance, family ownership and performance. Specifically tested is which approach among all agency, stewardship, and contingency theory is most appropriate for Italian family firms. Findings suggest that board independence increases with family disinvestment at IPO, presence of venture capitalists, establishment of large and active boards, and existence of appointment and compensation committees. At the same time, results indicate that the presence of independent directors affects performance positively but with little statistical significance, while family involvement and the presence of execution committees negatively impact share performance.     

Cellular automata and Riccati equation models for diffusion of innovations

Innovation diffusion represents a central topic both for researchers and for managers and policy makers. Traditionally, it has been examined using the successful Bass models (BM, GBM), based on an aggregate differential approach, which assures flexibility and reliable forecasts. More recently, the rising interest towards adoptions at the individual level has suggested the use of agent based models, like Cellular Automata models (CA), that are generally implemented through computer simulations. In this paper we present a link between a particular kind of CA and a separable non autonomous Riccati equation, whose general structure includes the Bass models as a special case. Through this link we propose an alternative to direct computer simulations, based on real data, and a new aggregate model, which simultaneously considers birth and death processes within the diffusion. The main results, referred to the closed form solution, the identification and the statistical analysis of our new model, may be both of theoretical and empirical interest. In particular, we examine two applied case studies, illustrating some forecasting improvements obtained.     

Restructuring Among the World's Leading Oil Companies, 1980–92

Restructuring among the international oil majors during 1980–92 involved simultaneous, system-wide changes in strategies and structures dictated by the demands of a more competitive, unstable business environment, but triggered by declining profitability and motivated by the desire to increase shareholder returns. Restructuring involved transition from one strategy-structure configuration, the 'administrative planning model', to another, the 'market responsiveness model'. The multiple strategic and structural changes were linked by a unifying theme: the quest for efficiency in a turbulent environment. This quest presented the companies with a strategic dilemma - reconciling economies of scale and scope with the benefits of flexibility; and a structural dilemma - reconciling decentralization with coordination. This paper draws upon the experiences of the world's eight largest international oil majors.     

EVALUATING THE TRADE-OFFS BETWEEN IDLING AND SHUTTING DOWN PRODUCTION LINES IN PROCESS INDUSTRIES

The costs of starting-up and shutting down production lines (and plants) in a process industry are often quite high. Therefore, when a plant's capacity significantly exceeds its forecast demand over an annual planning horizon, a manufacturer must either plan temporary production line shutdowns during the year, or plan to temporarily idle production lines without formally shutting line(s) down. The trade-offs between these two strategies can be complex. In this paper, we propose a methodology to evaluate the impact of both strategies on a plant's production costs by developing an analytical model based on the authors' experience with several process industries.     

The Earnings Assimilation of Immigrants

Abstract. Earnings assimilation in Sweden is empirically addressed using a random sample of native Swedes and immigrants belonging to two different immigrant cohorts. The results show that the assimilation process differs for the two cohorts. Only the first cohort catches up with its native counterpart. These results also showed that the earnings of immigrants deteriorate with age faster than those. of native Swedes, after reaching a maximum level. This can happen because immigrants decrease their working hours faster than the native Swedes as they get older. Our results also suggest a different effect of the business cycle on the determination of earnings for immigrants and natives.