Abstract: A computer-implemented method and system includes accessing neurophysiological and neurovascular data recorded during sleep. A function mapping is executed from said neurophysiological and neurovascular data to a target that is one of a glymphatic flow marker, a molecular analysis marker of neurodegeneration, or a neuroimaging marker of neurodegeneration. A target prediction model is output based on the function mapping. The target prediction model can receive new neurophysiological and neurovascular data and output a predicted marker of neurodegeneration.

Abstract: A computer-implemented method and system includes accessing neurophysiological and neurovascular data recorded during sleep. A function mapping is executed from said neurophysiological and neurovascular data to a target that is one of a glymphatic flow marker, a molecular analysis marker of neurodegeneration, or a neuroimaging marker of neurodegeneration. A target prediction model is output based on the function mapping. The target prediction model can receive new neurophysiological and neurovascular data and output a predicted marker of neurodegeneration.

Abstract: A computer-implemented method and system includes accessing neurophysiological and neurovascular data recorded during sleep. A function mapping is executed from said neurophysiological and neurovascular data to a target that is one of a glymphatic flow marker, a molecular analysis marker of neurodegeneration, or a neuroimaging marker of neurodegeneration. A target prediction model is output based on the function mapping. The target prediction model can receive new neurophysiological and neurovascular data and output a predicted marker of neurodegeneration.

Abstract: A computer-implemented method and system includes accessing neurophysiological and neurovascular data recorded during sleep. A function mapping is executed from said neurophysiological and neurovascular data to a target that is one of a glymphatic flow marker, a molecular analysis marker of neurodegeneration, or a neuroimaging marker of neurodegeneration. A target prediction model is output based on the function mapping. The target prediction model can receive new neurophysiological and neurovascular data and output a predicted marker of neurodegeneration.

Abstract: A composition comprising (a) a vinylidene fluoride-hexafluoropropylene thermoplastic copolymer and (b) a fluoroelastomer, such as vinylidene fluoride-hexafluoropropylene elastomeric copolymer, at least one of (a) and (b) being cross-linked, exhibits excellent physical properties. The composition is particularly useful in the form of a heat recoverable article or as wire and cable insulation.

Abstract: A composition comprising (a) a vinylidene fluoride-hexafluoropropylene thermoplastic copolymer and (b) a fluoroelastomer, such as vinylidene fluoride-hexafluoropropylene elastomeric copolymer, at least one of (a) and (b) being cross-linked, exhibits excellent physical properties. The composition is particularly useful in the form of a heat recoverable article or as wire and cable insulation.

Abstract: Novel compositions comprise a blend of(A) a thermoplastic polymer selected from copolymers of ethylene and tetrafluoroethylene, and thermoplastic vinylidene fluoride polymers; and(B) a thermoplastic elastomer having (i) at least one elastomeric segment comprising (a) vinylidene fluoride, hexa- or pentafluoropropylene, and tetrafluoroethylene repeating units in a mole ratio of 45-90:5-50:0-35 or (b) perfluoro(alkyl vinyl ether), tetrafluoroethylene and vinylidene fluoride repeating units in a mole ratio of 15-75:0-85:0-85; and (ii) at least one nonelastomeric segment selected from segments comprising ethylene and tetrafluoroethylene repeating units in a mole ratio of 40-60:60-40, and segments comprising vinylidene fluoride, hexafluoropropylene and tetrafluoroethylene repeating units in a mole ratio of 0-100:0-50:0-100,with the proviso that if the thermoplastic polymer is a vinylidene fluoride polymer, the blend is crosslinked.