Abstract: Feature engineering, for example, in automated machine learning, can include receiving streaming data representing at least one attribute detected by a sensor over time. Long term point statistics associated with the streaming data can be computed. The streaming data can be quantized into intervals of time windows and short term point statistics based on the intervals can be computed. The long term point statistics and the short term point statistics can be normalized. Dynamic time warping can be applied across the normalized long term point statistics and short term point statistics. A pair of probability distributions can be generated associated with the dynamic time warped normalized long term point statistics and short term point statistics. Based on distance between the mean values of the probability distributions, machine learning input features can be produced. The machine learning input features can be fed to train a machine learning model for detecting anomaly.

Abstract: Systems, methods, and computer-readable media for analyzing health information to generate medical assessments are described. Health information may include any type of information associated with the health or physical characteristics of a patient. Non-limiting examples of medical assessments include medical diagnoses, medical orders, and risk assessments. A health information analysis system may access health information associated with a patient and provide a medical assessment based on various analyses of the health information. The health information analysis system may receive feedback associated with the medical assessments, such as historical information and/or user input regarding the accuracy or completeness of the medical assessment. The feedback may be used by the health information analysis system to update the analyses of the health information.

Abstract: The present disclosure relates generally to the field of neurology. In particular, the disclosure relates to a method of detecting a neurodegenerative disease in a subject and methods of treatment thereof. The methods include detecting the level of an exosome-bound aggregated biomarker in a sample obtained from the subject, wherein an increased level of the exosome-bound aggregated biomarker as compared to a reference indicates that the subject is suffering from a neurodegenerative disease. Also described are methods for detecting a subject at risk of developing amyloidosis or a neurodegenerative disease, methods for detecting and treating amyloidosis or a neurodegenerative disease in a subject, and methods of determining the aggregation state of a biomarker in a sample.

Abstract: The disclosed embodiments provide techniques for scoring a driver or vehicle. In one embodiment, a method is disclosed comprising receiving metrics associated with a vehicle; generating a deviation vector based on the metrics and a plurality of aggregated values corresponding to the metrics; computing a driver update value based on the deviation vector and a plurality of model parameters, each of the plurality of model parameters corresponding to the metrics; and computing a driver score based on the driver update value, a previous score, and a learning rate.

Abstract: Disclosed is an apparatus for pretreatment of printable fabrics, comprising a washer/extractor; a control apparatus connected to the washer/extractor to control said washer/extractor; and a source of pretreatment chemicals to be added to the washer/extractor in a controlled manner by the control apparatus. Also disclosed are methods of pretreating fabrics using the disclosed apparatus.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting sources of computer network failures. One of the methods includes identifying a network flow in a computer network between a source and a destination; performing a first probe to determine whether there is end-to-end connectivity between the source and the destination; in response to determining that there is no end-to-end connectivity between the host and the destination, performing one or more additional probes including a second probe to determine whether each hop in the path of the network flow between the source and the destination is operational including requesting that the source transmit a respective first trace diagnostic packet to each hop in the path of the network flow; and determining whether at least one link of the computer network that is part of the path of the network flow has failed based on the results.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting sources of computer network failures. One of the methods includes identifying a network flow in a computer network between a source and a destination; performing a first probe to determine whether there is end-to-end connectivity between the source and the destination; in response to determining that there is no end-to-end connectivity between the host and the destination, performing one or more additional probes including a second probe to determine whether each hop in the path of the network flow between the source and the destination is operational including requesting that the source transmit a respective first trace diagnostic packet to each hop in the path of the network flow; and determining whether at least one link of the computer network that is part of the path of the network flow has failed based on the results.

Abstract: Disclosed is a process for printing on cotton fabric comprising (1) contacting cotton fabric with an aqueous solution comprising (A) 40% to 70% by weight of at least one multivalent cationic salt; (B) optionally 0.1% to 5% by weight of a blocked isocyanate crosslinking agent, and (C) 3% to 40% by weight of a waterborne resin, all percentages based on the weight of the aqueous solution; (2) drying the cotton fabric to remove the water from the cotton fabric; and (3) digitally printing the pretreated and coated cotton fabric with a water-based textile ink.

Abstract: Disclosed is a process for printing on polyester fabric comprising (1) contacting polyester fabric with an aqueous solution comprising (A) 5% to 35% by weight of at least one multivalent cationic salt; (B) 0.1% to 5% by weight of a blocked polyisocyanate crosslinking agent, and (C) 3% to 40% by weight of a waterborne resin, all percentages based on the weight of the aqueous solution; (2) drying the polyester fabric to remove the water from the polyester fabric; and (3) digitally printing the pretreated and coated polyester fabric with a water-based textile ink.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting sources of computer network failures. One of the methods includes identifying a network flow in a computer network between a source and a destination; performing a first probe to determine whether there is end-to-end connectivity between the source and the destination; in response to determining that there is no end-to-end connectivity between the host and the destination, performing one or more additional probes including a second probe to determine whether each hop in the path of the network flow between the source and the destination is operational including requesting that the source transmit a respective first trace diagnostic packet to each hop in the path of the network flow; and determining whether at least one link of the computer network that is part of the path of the network flow has failed based on the results.

Abstract: Disclosed is an apparatus for pretreatment of printable fabrics, comprising a washer/extractor; a control apparatus connected to the washer/extractor to control said washer/extractor; and a source of pretreatment chemicals to be added to the washer/extractor in a controlled manner by the control apparatus. Also disclosed are methods of pretreating fabrics using the disclosed apparatus.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting sources of computer network failures. One of the methods includes identifying a network flow in a computer network between a source and a destination; performing a first probe to determine whether there is end-to-end connectivity between the source and the destination; in response to determining that there is no end-to-end connectivity between the host and the destination, performing one or more additional probes including a second probe to determine whether each hop in the path of the network flow between the source and the destination is operational including requesting that the source transmit a respective first trace diagnostic packet to each hop in the path of the network flow; and determining whether at least one link of the computer network that is part of the path of the network flow has failed based on the results.

Abstract: Disclosed is a process for printing on cotton fabric comprising (1) contacting cotton fabric with an aqueous solution comprising (A) 40% to 70% by weight of at least one multivalent cationic salt; (B) optionally 0.1% to 5% by weight of a blocked isocyanate crosslinking agent, and (C) 3% to 40% by weight of a waterborne resin, all percentages based on the weight of the aqueous solution; (2) drying the cotton fabric to remove the water from the cotton fabric; and (3) digitally printing the pretreated and coated cotton fabric with a water-based textile ink.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting sources of computer network failures. One of the methods includes identifying a network flow in a computer network between a source and a destination; performing a first probe to determine whether there is end-to-end connectivity between the source and the destination; in response to determining that there is no end-to-end connectivity between the host and the destination, performing one or more additional probes including a second probe to determine whether each hop in the path of the network flow between the source and the destination is operational including requesting that the source transmit a respective first trace diagnostic packet to each hop in the path of the network flow; and determining whether at least one link of the computer network that is part of the path of the network flow has failed based on the results.

Abstract: Disclosed is a process for printing on polyester fabric comprising (1) contacting polyester fabric with an aqueous solution comprising (A) 5% to 35% by weight of at least one multivalent cationic salt; (B) 0.1% to 5% by weight of a blocked polyisocyanate crosslinking agent, and (C) 3% to 40% by weight of a waterborne resin, all percentages based on the weight of the aqueous solution; (2) drying the polyester fabric to remove the water from the polyester fabric; and (3) digitally printing the pretreated and coated polyester fabric with a water-based textile ink.

Abstract: Systems, methods, and computer-readable media for analyzing health information to generate medical assessments are described. Health information may include any type of information associated with the health or physical characteristics of a patient. Non-limiting examples of medical assessments include medical diagnoses, medical orders, and risk assessments. A health information analysis system may access health information associated with a patient and provide a medical assessment based on various analyses of the health information. The health information analysis system may receive feedback associated with the medical assessments, such as historical information and/or user input regarding the accuracy or completeness of the medical assessment. The feedback may be used by the health information analysis system to update the analyses of the health information.

Abstract: The present invention relates to methods and compositions for osteogenic differentiation of human periosteum derived cells, in particular using a growth medium containing a specific combination of growth factors and formulations thereof. The invention also relates to the differentiated cells and cell populations, as well as further products comprising such cells and uses thereof in bone therapy.

Abstract: Systems, methods, and computer-readable media for analyzing health information to generate medical assessments are described. Health information may include any type of information associated with the health or physical characteristics of a patient. Non-limiting examples of medical assessments include medical diagnoses, medical orders, and risk assessments. A health information analysis system may access health information associated with a patient and provide a medical assessment based on various analyses of the health information. The health information analysis system may receive feedback associated with the medical assessments, such as historical information and/or user input regarding the accuracy or completeness of the medical assessment. The feedback may be used by the health information analysis system to update the analyses of the health information.

Abstract: Planar ceramic membrane assembly comprising a dense layer of mixed-conducting multi-component metal oxide material, wherein the dense layer has a first side and a second side, a porous layer of mixed-conducting multi-component metal oxide material in contact with the first side of the dense layer, and a ceramic channeled support layer in contact with the second side of the dense layer.

Abstract: An implantable device for treating a patient using sensory substitution includes a wearable article in which are disposed one or more sensors for detecting the phase of the gait cycle of the patient, a controller for receiving signals from the sensors indicative of the phase of the gait, and one more stimulators for stimulating the patient based on signals from the controller that are issued in response to the sensor signals.