Abstract: A method comprising: at a training stage, training a machine learning algorithm on a training set comprising: (i) Heart Rate Variability (HRV) parameters extracted from temporal beat activity samples, wherein at least some of said samples include a representation of a Ventricular Fibrillation (VF) event, (ii) labels associated with one of: a first period of time immediately preceding a VF event in a temporal beat activity sample, a second period of time immediately preceding the first period of time in a temporal beat activity sample, and all other periods of time in a temporal beat activity sample; at an inference stage, receiving, as input, a target HRV parameters representing temporal beat activity in a subject; and applying said machine learning algorithm to said target HRV parameters, to predict an onset time of a VF event in said subject.

Abstract: A laminated glazing structure includes first and second transparent substrates separated by a lamination interlayer, the first substrate being positioned on the outer side of the laminated glazing structure and the second substrate being arranged on the inner side of the laminated glazing structure, each transparent substrate including two main faces, the laminated glazing structure including a functional coating having solar control properties; at least one absorbing element; at least one microstructured surface, the Rdq of which is at least 0.

Abstract: A computer implemented methods for estimating at least one quality function of a given layered coating on a transparent substrate allows to predict at least one non in-process measured quality function of a given layered coating on a transparent substrate from an in-process measured quality function which can be acquired on the coated substrate as deposited at any location, preferably at the end of a coating process. The method allows to get rid of in-process real-time continuous measurements of quality functions of the coated transparent substrate and real-time monitoring of coating process parameters.

Abstract: A composite pane includes an outer pane, an inner pane, and a thermoplastic intermediate layer. The composite pane has, between the outer and inner panes, a solar protection coating that substantially reflects or absorbs rays outside the visible spectrum of solar radiation. The solar protection coating includes starting from the outer pane, a layer sequence of first dielectric module (M1), first silver layer (Ag1), second dielectric module (M2), second silver layer (Ag2), third dielectric module (M3), third dielectric module (M3), third silver layer (Ag3), fourth dielectric module (M4), wherein the silver layers (Ag1, Ag2, Ag3) have a layer thickness relative to one another of Ag1/Ag2>1 and Ag1/Ag3>1, and the dielectric modules (M1, M2, M3, M4) have a relative layer thickness of M2/M1>1, M2/M3>1, and M2/M4>1.

Abstract: A material includes a transparent substrate coated on one face with a stack of thin layers successively including, from the face, an alternation of four functional metal layers based on silver and five dielectric coatings. The physical thickness Ea1 of the first functional layer Ag1 is less than the physical thickness Ea2 of the second functional layer Ag2, with 0.60<Ea1/Ea2<0.90. The physical thickness Ea1 of the first functional layer Ag1 is such that 8.00?Ea1?13.00 nm. The physical thickness Ea1 of the first functional layer Ag1 is less than the physical thickness Ea3 of the third functional layer Ag3, with 0.60<Ea1/Ea3<0.90. The physical thickness Ea1 of the first functional layer Ag1 is less than the physical thickness Ea4 of the fourth functional layer Ag4, with 0.60<Ea1/Ea4<0.90.