Abstract: Foot support systems include a fluid flow control system that facilitates movement of fluid into, out of, and/or within a sole structure and/or article of footwear, e.g., to change and/or control pressure in fluid filled bladder(s). Aspects of this technology may relate to one or more of: (a) footwear structures in which such systems are incorporated; (b) valve stem based fluid flow transfer systems; (c) solenoid based fluid flow transfer systems; (d) user input button features; (e) air filter features; (f) fluid tube to fluid distributor connection features; (g) fluid distributor to footwear connection features; (h) valve position sensor features; (i) valve transmission features; (j) pressure control algorithm features; (k) electronic communication features; (l) system sealing features; and/or (m) pressure sensor mounting features.

Abstract: Foot support systems include a fluid flow control system that facilitates movement of fluid into, out of, and/or within a sole structure and/or article of footwear, e.g., to change and/or control pressure in fluid filled bladder(s). Aspects of this technology may relate to one or more of: (a) footwear structures in which such systems are incorporated; (b) valve stem based fluid flow transfer systems; (c) solenoid based fluid flow transfer systems; (d) user input button features; (e) air filter features; (f) fluid tube to fluid distributor connection features; (g) fluid distributor to footwear connection features; (h) valve position sensor features; (i) valve transmission features; (j) pressure control algorithm features; (k) electronic communication features; (l) system sealing features; and/or (m) pressure sensor mounting features.

Abstract: The present disclosure provides methods, systems, and computer program products that use deep learning models to classify candidate mutations detected in sequencing data, particularly suboptimal sequencing data. The methods, systems, and programs provide for increased efficiency, accuracy, and speed in identifying mutations from a wide range of sequencing data.

Abstract: The present disclosure provides methods, systems, and computer program products that use embeddings of candidate variation information and deep learning models to accurately and efficiently detect variations in biopolymer sequencing data, particularly suboptimal sequencing data.

Abstract: The present disclosure provides methods, systems, and computer program products that use deep learning models to classify candidate mutations detected in sequencing data, particularly suboptimal sequencing data. The methods, systems, and programs provide for increased efficiency, accuracy, and speed in identifying mutations from a wide range of sequencing data.

Abstract: In systems where insulating deposits form during normal operation, electrodes are configured with a preformed dielectric thereon, wherein the preformed dielectric is formed with a geometric feature that preforms a triple junction. These triple junctions enhance low level discharge activity to facilitate localized breakdown of the deposits and maintain electrode conductivity.

Abstract: In systems where insulating deposits form during normal operation, electrodes are configured with a preformed dielectric thereon, wherein the preformed dielectric is formed with a geometric feature that performing a triple junction. These triple junctions enhance low level discharge activity to facilitate localized breakdown of the deposits and maintain electrode conductivity.

Abstract: In systems where insulating deposits form during normal operation, electrodes are configured so the deposits have the effect of creating in-situ triple junctions. These triple junctions enhance low level discharge activity to facilitate localized breakdown of the deposits and maintain electrode conductivity.

Abstract: In systems where insulating deposits form during normal operation, electrodes are configured so the deposits have the effect of creating in-situ triple junctions. These triple junctions enhance low level discharge activity to facilitate localized breakdown of the deposits and maintain electrode conductivity.

Abstract: Features that create localized electric field enhancement are deliberately introduced on conductors where deposits having insulating characteristics can form. The purpose of the introduced features is to enhance localized breakdown of the deposits in order to maintain electrode conductivity.

Abstract: An ion beam processing system includes a plasma generator with a magnetic flood system. Magnets are provided for reducing the transverse magnetic field in the ion beam transport region of the plasma flood device so as to control charging damage or to neutralize beam space charge in ion beam processing and semiconductor ion implantation. The system is especially adapted for beam lines with ribbon beams.