A NOVEL ALGORITHM TO DETECT NON-WEAR TIME FROM RAW ACCELEROMETER DATA USING DEEP CONVOLUTIONAL NEURAL NETWORKS

A novel algorithm to detect non-wear time from raw accelerometer data using deep convolutional neural networks

Abstract To date, non-wear detection algorithms commonly employ a 30, 60, or even 90 mins interval or window in which acceleration values need to be below a threshold value.A major drawback of such intervals is that they need to be long enough to prevent false positives (type I errors), while short enough to prevent false negatives (type II errors)

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Abnormal expression of cortical cell cycle regulators underlying anxiety and depressive-like behavior in mice exposed to chronic stress

BackgroundThe cell cycle is a critical mechanism for proper cellular growth, development and viability.The p16INK4a and p21Waf1/Cip1 are important regulators of the cell cycle progression in response to internal and external stimuli (e.g., stress).Accumulating evidence indicates that the prefrontal cortex (PFC) is particularly vulnerable to stress,

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Reactivation of the tumour suppressor RASSF1A in breast cancer by simultaneous targeting of DNA and E2F1 methylation.

BackgroundTumour suppressor genes are often transcriptionally silenced by promoter hypermethylation, and recent research has implicated alterations in chromatin structure as doctor squish refill the mechanistic basis for this repression.In addition to DNA methylation, other epigenetic post-translational modifications that modulate the stability and

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