The six-degree equations of flight in their classic form do not provide a proper physical perception due to a number of interferences. Nor do they render visible the important role of attack angles. In this study, attempts have been made to develop a complete set of 3D acceleration equations from the equations of normal and tangential acceleration αN=vωv, αt=v ̇. For this purpose, a coordinate s...

To date, there are four main groups of idiopathic inflammatory myopathies (IIM): polymyositis (PM), dermatomyositis (DM), immune-mediated necrotizing myopathy (IMNM) and sporadic inclusion body myositis; based on clinical presentation and muscle pathology. Nevertheless, important phenotypical differences (either muscular and/or extra-muscular manifestations) within a group persist. In recent ye...

PT' EMPORARY whole-body hypothermia in theory offers an ideal way of greatly 1, reducing metabolism, and seems to hold great promise in clinical surgery. Yet, although the reptile or the hibernating mammal can withstand very low body temperatures without distress, body temperatures much below 28°C produce severe and often fatal physiological stress in the non-hibernating mammal. In the course o...

for the regulation of sleep-wakefulness (Urbano et al., 2012). From the evolutionary point of view it can be assumed that the primitive brain had auto-regulatory oscillations between awake-like and sleep-like states (Cirelli, 2009). As evolution progressed, and as the brainstem, diencephalon, and neocortex were formed, they also became part of the oscillating network. Prior activity in the netw...

Following an application from Kemin Foods LC, submitted for authorisation of a health claim pursuant to Article 13(5) of Regulation (EC) No 1924/2006 via the Competent Authority of Belgium, the Panel on Dietetic Products, Nutrition and Allergies (NDA) was asked to deliver an opinion on the scientific substantiation of a health claim related to Slendesta® Potato Extract and reduction of body wei...

Abstract Deep neural networks (DNNs) and auto differentiation have been widely used in computational physics to solve variational problems. When a DNN is represent the wave function quantum many-body problems using optimization, various physical constraints be injected into network by construction increase data learning efficiency. We build unitary constraint monotonic cumulative distribution (...