Abstract: A glass body with a top surface, an opposing bottom surface, and one or more side surfaces. An identifying marker is on the top surface, the bottom surface, the one or more side surfaces, and/or within a bulk of the glass body, the identifying marker providing encoded information about one or more properties, characteristics, and/or compositional features of the glass body, and wherein a composition of the glass body comprises titania and silica. Furthermore, a peak-to-valley of hydroxyl concentration among a plurality of segments of the glass body is about 60 ppm or less, the hydroxyl concentration being measured using a Fourier transform infrared spectroscopy in transmission, and the plurality of segments including every adjacent segment across a length and a width of the glass body, the length being about 25 mm or more and the width being about 25 mm or more.

Abstract: A detection system has an interface including a substrate supporting a conductive coating. Electrodes are provided to the substrate. A multiplexer provides current to the electrodes. A demultiplexer receives voltages from electrodes and provides corresponding signals to a controller. The controller receives these signals and determines therefrom an operation performed in connection with the interface by applying an algorithmic approach. Static interaction is recognizable, and machine learning can be used for gesture recognition and/or identification of other interaction types. The technology can be used in a broad array of applications, e.g., where it is desirable to sense interactions with a defined region such as, for example, in the case of touches, gestures, hovers, and/or the like.

Abstract: A detection system has an interface including a substrate supporting a conductive coating. Electrodes are provided to the substrate. A multiplexer provides current to the electrodes. A demultiplexer receives voltages from electrodes and provides corresponding signals to a controller. The controller receives these signals and determines therefrom an operation performed in connection with the interface by applying an algorithmic approach. Static interaction is recognizable, and machine learning can be used for gesture recognition and/or identification of other interaction types. The technology can be used in a broad array of applications, e.g., where it is desirable to sense interactions with a defined region such as, for example, in the case of touches, gestures, hovers, and/or the like.

Abstract: A multi-layer conductive coating is substantially transparent to visible light, contains at least one conductive layer that is sandwiched between at least a pair of dielectric layers, and may be used as an electrode and/or conductive trace in a capacitive touch panel. The multi-layer conductive coating may contain a dielectric layer of or including zirconium oxide (e.g., ZrO2) and/or silicon nitride, and may be used in applications such as capacitive touch panels for controlling showers, appliances, vending machines, electronics, electronic devices, and/or the like. The touch panel may further include a functional film(s) which may be one or more of: an index-matching film, an antiglare film, an anti-fingerprint film, and anti-microbial film, a scratch resistant film, and/or an antireflective (AR) film.

Abstract: An ellipsometry system detects and/or identifies significant corrosion on glass, such as on soda-lime-silica based float glass. In certain example embodiments, there is provided a method and/or system using ellipsometry to detect and/or identify significant corrosion on soda-lime-silica based glass, so that such significantly corroded glass can be identified and not coated with a low-E coating and/or not used in applications where optical appearance is important. The ellipsometry system may be part of, or used in connection with, a sputtering apparatus/system for sputter-depositing low-E coatings on glass, so that whether to pass a piece of glass to the sputtering apparatus/system is based on whether significant corrosion is detected on the glass.

Abstract: An ellipsometry system detects and/or identifies significant corrosion on glass, such as on soda-lime-silica based float glass. In certain example embodiments, there is provided a method and/or system using ellipsometry to detect and/or identify significant corrosion on soda-lime-silica based glass, so that such significantly corroded glass can be identified and not coated with a low-E coating and/or not used in applications where optical appearance is important. The ellipsometry system may be part of, or used in connection with, a sputtering apparatus/system for sputter-depositing low-E coatings on glass, so that whether to pass a piece of glass to the sputtering apparatus/system is based on whether significant corrosion is detected on the glass.

Abstract: A tissue scaffold for repair and regeneration of bone hard tissue or muscle, skin, or organ soft tissue, including load-bearing bone tissue, the scaffold comprising a core of biocompatible, biodegradable inorganic glass fibers; and a biocompatible, biodegradable, flexible polymer film surrounding the core and adhered to the core.

Abstract: A tissue scaffold for repair and regeneration of bone hard tissue or muscle, skin, or organ soft tissue, including load-bearing bone tissue, the scaffold comprising a core of biocompatible, biodegradable inorganic glass fibers; and a biocompatible, biodegradable, flexible polymer film surrounding the core and adhered to the core.