The post-coital discharge of LH was studied in ovariectomized rats primed with steroids and injected with drugs that modify oestrous behaviour. It was found that LH release was absent in receptive rats treated with p-chlorphenylalanine which also exhibited abnormal oestrous behaviour. Rats primed with oestrogen and progesterone and injected with DL-amphetamine showed no release of LH after mati...

Two relatively simple theories of brain function will be used to demonstrate the explanatory power of multiple memory systems in your brain interacting cooperatively or competitively to directly or indirectly influence cognition and behaviour. The view put forth in this mini-review is that interactions between memory systems produce normal and abnormal manifestations of behaviour, and by logica...

A 29 year old woman is described with severe hyperemesis gravidarum, atypical migraine, numerous admissions to hospital for psychiatric illness, non-epileptic seizures, and valproate-induced coma. Metabolic studies and measurement of [9,10(n)-3H]palmitate oxidation by cultured fibroblasts suggested a multiple acyl-CoA dehydrogenation disorder. Treatment with riboflavin abolished headaches and a...

The correct recognition of behaviours based on sensor observations in a smart home is a challenging problem; the sensor observations themselves can be noisy, and the pattern activity seen for a behaviour is rarely identical for different occurrences of the behaviour. For this reason, probabilistic methods such as Hidden Markov Models are preferred over symbolic reasoning approaches. However, th...

Frame prediction methods based on Auto-Encoder (AE) composed of convolutional neural networks (CNN) are very popular in detecting abnormal behaviour. The predict normal behaviour accurately and incorrectly, which is considered a criterion for abnormality discrimination. However, the emergence problems such as too strong AE representation leading to detection failure, insufficient ability networ...

Abstract Wind turbines typically do not operate in the ideal operating conditions, leading to abnormal behaviour that is reflected their power curves. This can affect performance of condition monitoring processes, as it may mask faulty behaviour. By cleaning other data, such curtailment, models learn normal turbines. paper presents a novel technique utilises combination data binning and Mahalan...