This paper uses the method of cross spectral analysis to examine preand post-1987 crash comovements among several Pacific Rim markets. The results support increased post-crash comovements among the markets. Each of the pairwise median coherences was greater in the post-crash period. The same is true for the post-crash mean coherences, with one exception. The nonparametric Wilcoxon Z statistics ...

Periodogram and other spectral power estimation methods are established in quantitative EEG analysis. Their outcome in case of drowsy subjects fulfilling a sustained attention task is difficult to interpret. Two novel kind of EEG analysis based on pattern recognition were proposed recently, namely the microsleep (MS) and the alpha burst (AB) pattern recognition. We compare both methods by apply...

OBJECTIVE To determine the rate of new onset of widespread pain after a traumatic event (motor vehicle crash). METHODS A prospective cohort study of persons registered with an insurance company who had or had not experienced a motor vehicle crash. All participants were sent a questionnaire to assess pre-crash (or for the non-crash group, prior) psychosocial factors and widespread pain. Partic...

With safety being one of the primary motivations for developing automated vehicles (AVs), extensive field and simulation tests are carried out to ensure AVs can operate safely on roadways. Since 2014, California DMV has been collecting AV collision disengagement reports, which valuable data sources studying crash patterns. In this study, sequence extracted from reports were used investigate pat...

A method of comparing two acceleration time histories to determine whether they describe similar physical events is described. The method can be used to assess the repeatability of full-scale crash tests and it can also be used as a criterion for assessing how well a finite-element analysis of a collision event simulates a corresponding full-scale crash test. The method is used to compare a ser...

We study a rational expectation model of bubbles and crashes. The model has two components: (1) our key assumption is that a crash may be caused by local self-reinforcing imitation between noise traders. If the tendency for noise traders to imitate their nearest neighbors increases up to a certain point called the “critical” point, all noise traders may place the same order (sell) at the same t...

We study a rational expectation model of bubbles and crashes. The model has two components : (1) our key assumption is that a crash may be caused by local self-reinforcing imitation between noise traders. If the tendency for noise traders to imitate their nearest neighbors increases up to a certain point called the “critical” point, all noise traders may place the same order (sell) at the same ...

We study a rational expectation model of bubbles and crashes. The model has two components : (1) our key assumption is that a crash may be caused by local self-reinforcing imitation between noise traders. If the tendency for noise traders to imitate their nearest neighbors increases up to a certain point called the “critical” point, all noise traders may place the same order (sell) at the same ...