Abstract: Embodiments are disclosed for crash detection on one or more mobile devices (e.g., smartwatch and/or smartphone). In some embodiments, a method comprises: detecting, with at least one processor, a crash event on a crash device; extracting, with the at least one processor, multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing, with the at least one processor, a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features; and determining, with the at least one processor, that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.

Abstract: Polymers are melt spun by extruding threadlines of filaments from a spinneret; quenching the filaments through a quench zone; reducing the tension on the threadlines of filaments to a value substantially equal to the tension at the hereinafter-mentioned winding point, by converging each threadline of filaments to form a strand while applying a lubricant; and winding each strand on a spool at a take-up speed of at least about 1800 meters per minute, and without further reducing the tension by means, such as godets. Apparatus for carrying out the method is described. The convergence means may be adjustable to change the position thereof relative to the bottom of the quench zone.

Abstract: A method for producing polyester filament having a cross-section of C-shape by melt spinning polyester through a spinneret so that each filament is made through an array of holes having a center hole with eight holes equally spaced around the center hole with the size and spacing of the holes within a specified relationship. A method for producing partially oriented yarn having a cross-section of C-shape. A polyester filament produced, a yarn composed of a multiplicity of these filaments, and a fabric produced from the yarn.