This article investigates the fixed-time stabilization of uncertain linear time-invariant systems exhibiting two time scales using a state-feedback event-triggered controller. We proceed by emulation and assume that we know controller solves problem in absence sampling. then take sampling into account present an strategy, which consists independent mechanisms, associated with slow fast subsyste...

My thesis is that backwards time travel can occur without causal loops. Specifically, I shall show that assuming that backwards time travel (‘time travel’ for short) is logically possible, it is logically possible to have a world where time travel occurs and yet no causal loops occur. To formulate this thesis more precisely, I need to distinguish two types of causal loops, closed and open causa...

BACKGROUND Isolation, long work days, climate change and globalization are just some of the many pressures that make farming a vulnerable occupation for incurring mental health issues. The objective of this study was to determine whether farming in Australia is associated with poorer wellbeing, physical and mental health, and less health service use. METHODS The Australian Rural Mental Health...

This paper describes a simulation specification language and execution environments that are being used to study the performance of distributed discrete event simulation. First, a simulation programming model based on Chandy-Misra distributed discrete event simulation is presented. Then, the Yaddes simulation specification language is described. Yaddes specifications are translated into C langu...

We envision event correlation in a publish/subscribe system becoming important. A publish/subscribe system may offer content-based filtering, which allows subscribers to declare their interests in the attribute values of events using a flexible subscription language, while event correlation addresses the relationships among event instances of different event types. Especially with a dramatic in...

The discovery of events in time series can have important implications, such as identifying microlensing events in astronomical surveys, or changes in a patient’s electrocardiogram. Current methods for identifying events require a sliding window of a fixed size, which is not ideal for all applications and could overlook important events. In this work, we develop probability models for calculati...