This paper presents a hybrid test method that enables the investigation of contact-impact scenarios in complex systems using kinematically versatile, off-the-shelf industrial robots. Based on the pseudodynamic test method, the technique conducts tests on an enlarged time scale, thereby circumventing control rate and response time limitations of the transfer system. An initial exploratory study ...

Businesses are increasingly becoming software rich with a plethora of systems varying in age, reliability and ease of use. People working in these businesses are increasingly dependant on their software systems: they are unable to work effectively when “the computer is down”. More generally, businesses need to adapt rapidly to new opportunities and regulations. This requires both changing exist...

The effects of lithium sulphate following acute administration to Wistar rats - in therapeutic and toxic doses - were investigated, using as markers the levels and turnover of brain, kidney and liver nucleotides. Adenine- and guanine-dependent nucleotides were assayed concomitantly, using a high- performance liquid chromatographic method. Following acute administration, lithium's effects on 3',...

This paper studies the asymptotic stability of a repairable system with repair time of failed system that follows arbitrary distribution. We show that the system operator generates a positive C0-semigroup of contraction in a Banach space, therefore there exists a unique, nonnegative, and time-dependant solution. By analyzing the spectrum of system operator, we deduce that all spectra lie in the...

Learning structure of Bayesian network have been a great challenge of Machine learning for the last few decades. A lot of ideas have been offered during that time and some of them proved to provide pretty handy results. The new idea of ordering estimation is proposed aiming to improve properties of ordering based or dependant Bayesian network structure learning algorithms. Three different appro...

The recent advances in Human-Computer Interaction and Artificial Intelligence have significantly increased the importance of identifying human emotions from different sensory cues. Hence, understanding underlying relationships between cues become a subject study many fields including Acoustics, Psychology, Psychiatry, Neuroscience Biochemistry. This work is preliminary step towards investigatin...

BOLD (blood oxygen level dependent) fMRI (functional magnetic resonance imaging) is commonly used to study differences in neuronal activity between human populations. As the BOLD response is an indirect measure of neuronal activity, meaningful interpretation of differences in BOLD responses between groups relies upon a stable relationship existing between neuronal activity and the BOLD response...

Blood oxygen contrast-functional magnetic resonance imaging (fMRI) signals are a convolution of neural and vascular components. Several studies indicate that task-related (T-fMRI) or resting-state (R-fMRI) responses linearly relate to hypercapnic task responses. Based on the linearity of R-fMRI and T-fMRI with hypercapnia demonstrated by different groups using different study designs, we hypoth...