Abstract: A combined support belt and storage pack is a multi-purpose weightlifting belt having adjustable foam fill, an ergonomic back panel, a dual clip adjustment system, a storage pack and abdominal strap. When used as a weightlifting belt the storage pack is removed and the abdominal strap is utilized to secure about the waist of a user via the dual clip adjustment system. When not in use as a weightlifting belt, the device may operate as a shoulder pack having the storage pack secured to the ergonomic back and abdominal strap.

Abstract: Methods for performing improving facial recognition of a driver in a vehicle are disclosed. A set of images is received. Each of the set of images includes a portion that is identified as a face. The identification is based on an application of a first machine-learned model to each of the set of images. The application of the first machine-learned model is performed by an application associated with a client camera device mounted in a vehicle. Based on a determination that the set of images matches one or more reference images stored in a database with a confidence level that is equal to or greater than a confidence threshold, a person corresponding to the one or more reference images is associated as a driver of the vehicle during a time period in which the set of images was captured.

Abstract: Methods for performing improving facial recognition of a driver in a vehicle are disclosed. A set of images is received. Each of the set of images includes a portion that is identified as a face. The identification is based on an application of a first machine-learned model to each of the set of images. The application of the first machine-learned model is performed by an application associated with a client camera device mounted in a vehicle. Based on a determination that the set of images matches one or more reference images stored in a database with a confidence level that is equal to or greater than a confidence threshold, a person corresponding to the one or more reference images is associated as a driver of the vehicle during a time period in which the set of images was captured.

Abstract: Methods for performing improving facial recognition of a driver in a vehicle are disclosed. A set of images is received. Each of the set of images includes a portion that is identified as a face. The identification is based on an application of a first machine-learned model to each of the set of images. The application of the first machine-learned model is performed by an application associated with a client camera device mounted in a vehicle. Based on a determination that the set of images matches one or more reference images stored in a database with a confidence level that is equal to or greater than a confidence threshold, a person corresponding to the one or more reference images is associated as a driver of the vehicle during a time period in which the set of images was captured.

Abstract: A method for efficiently calculating syndromes in Reed-Solomon decoding is adapted to be implemented in a processor having a parallel processing instruction set. The method includes: (a) initializing a syndrome vector; (b) obtaining a symbol from a Reed-Solomon block code; (c) finding a lookup index based on the symbol; (d) using the parallel processing instruction set, obtaining a finite field product vector corresponding to the lookup index from a finite field vector multiplication table that includes at least one finite field product vector; (e) using the parallel processing instruction set, performing vector finite field addition on the finite field product vector corresponding to the lookup index and the syndrome vector, thereby obtaining an updated syndrome vector; and (f) outputting the updated syndrome vector.

Abstract: The present invention provides modified photoproteins, e.g., modified Clytin, having an increased affinity for calcium as well as an enhanced bioluminescence and their use as calcium indicators in reporter gene systems and in cell-based assays.

Abstract: A method for efficiently calculating syndromes in Reed-Solomon decoding is adapted to be implemented in a processor having a parallel processing instruction set. The method includes: (a) initializing a syndrome vector; (b) obtaining a symbol from a Reed-Solomon block code; (c) finding a lookup index based on the symbol; (d) using the parallel processing instruction set, obtaining a finite field product vector Corresponding to the lookup index from a finite field vector multiplication table that includes at least one finite field product vector; (e) using the parallel processing instruction set, performing vector finite field addition on the finite field product vector corresponding to the lookup index and the syndrome vector, thereby obtaining an updated syndrome vector; and (f) outputting the updated syndrome vector.

Abstract: A cell comprising one or more endogenous promiscuous G-proteins and an exogenous nucleic acid sequence that encodes a G-protein coupled receptor (GPCR), which optionally comprises a calcium release activated calcium channel (CRAC channel) provides features and improvements that significantly improve membrane level expression of the GPCR, increase signal responses and duration of signal, and decrease background in GPCR-related assay applications.

Abstract: A method for storing and updating records in a first table containing information corresponding to specific nodes of a network, and in a second table containing information corresponding to a combination of two specific nodes on a network, by indexing the first table with hashed forms of the node addresses, and the second table with hashed forms of a concatenation of the two node addresses, interleaving reads between the two tables to account for memory latency, and using the results of previous reads to reduce the number of future reads necessary for locating and updating the tables' records.