Abstract: A combustor comprising a dome wall, a combustor liner extending from the dome wall, and a combustion chamber at least partially defined by the dome wall and the combustor liner. A set of fuel cups are arranged along the dome wall. A set of dilution passages extend through the dome wall or the combustor liner to direct air into the combustion chamber, wherein a dilution passage of the set of dilution passages includes an inlet, an outlet, and a passageway.

Abstract: A method can include determining a frame processing operation for one or more frames of an image from an electronic device, the one or more frames of the image corresponding to a body of a user; determining if the electronic device is in alignment; determining if the electronic device is in an environment that satisfies a light threshold; determining pre-selected joint points for the body of the user in the one or more frames of the image based on pre-selected joint landmarks defined in a configuration set; determining a face alignment of the user in the one or more frames of the image; determining hair of the user is properly positioned in the one or more frames of the image; determining enough skin of the user is visible in the one or more frames of the image; and in response to the one or more frames of the image being validated, capturing an image of the user with the pre-selected joint landmarks to enable items to be overlaid on the image of the user. Other embodiments are disclosed.

Abstract: The online concierge system accesses item data for a target item and item data for a candidate item. The online concierge system generates a replacement score based on the accessed item data and generates a nutrition score based on the item data for the candidate item. The online concierge system generates a nutrition replacement score based on the replacement score and the nutrition score and stores a training example based on the item data and the nutrition replacement score. The training example may include the item data for the target item and the candidate item and a label based on the nutrition replacement score.

Abstract: The disclosure provides tubes including a blend of two or more polyethylenes. For example, the blend can comprise at least 80% by weight of one or more of LLDPE, LDPE, MDPE, and HDPE, and no more than 20% by weight of UHMWPE. Such tubes can have low average wall thicknesses, e.g., 0.1 mm or less, rendering them suitable for use as catheter liners.

Abstract: An apparatus comprises a processing device configured to analyze software code of a software product to identify application programming interfaces (APIs) of software libraries used in the software code of the software product, and to determine whether any of the identified APIs used in the software code of the software product correspond to any APIs of the software libraries having reported vulnerabilities. The processing device is also configured, responsive to determining that at least one of the identified APIs used in the software code of the software product correspond to at least one of the APIs having reported vulnerabilities, to identify impacted software classes of the software product. The processing device is further configured to automate upgrade of the software libraries used in the software code of the software product based on the identified impacted software classes.

Abstract: The disclosure generally relates to ultra high molecular weight poly (ethylene) (“UHMWPE”) tubes with an average wall thickness of 0.2 mm or less; a tensile stress at break greater than 40 MPa; and a storage modulus of greater than 500 MPa at 23° C. The disclosure further relates to preparing and using such tubes and to constructions (e.g., catheter constructions) and components thereof including such tubes.

Abstract: The disclosure provides tubes comprising ultra high molecular weight poly(ethylene) (UHMWPE). Such tubes can have thin walls and be suitable for applications, e.g., as catheter liners. Methods for preparing such tubes include dip coating a core into a dispersion comprising the UHMWPE, where the dispersion advantageously further comprises an eco-friendly solvent and can optionally include one or more additional components (e.g., fillers and/or other polymers).

Abstract: A method optimizes machine learning systems. A computing device accesses a committee of classifiers that have been trained using an initial labeled instance of data from an annotator. The initial labeled instance of data includes annotator-ranked attributes of the data, initial values of the attributes, and an initial prediction label that describes an initial predicted state based on the values. The computing system compares the attributes ranking from the annotator to attributes rankings that are generated by and used by each of the machine learning systems when evaluating one or more instances of unlabeled data that include the attributes, and weights the machine learning systems according to how closely each of the attributes rankings generated by and used by each of the machine learning systems match the attributes ranking from the annotator. The machine learning systems are then optimized based on this matching.

Abstract: Embodiments provide devices, systems and methods for preventing deep vein (DV) thrombosis (DVT). One embodiment provides a DVT prevention device including a cuff that fits over a patient's knee, an applanator coupled to an inside cuff surface, an expandable member (EM) coupled to the applanator, a pressure source fluidically coupled to the EM and a controller for controlling EM inflation. When the EM is inflated, it applies a force to the applanator which is transmitted to the knee back surface causing a popliteal vein (PV) under the cuff to be compressed so as to increase backpressure behind the compressed PV and subsequently increase the velocity of blood flow in the leg DVs when the EM is deflated. The EM can be inflated in a cycle including pulsed inflation, inflation hold and relaxation. The cycles can be repeated and adjusted to achieve a desired increase of blood flow/velocity in leg DVs.

Abstract: An online concierge system receives information describing items in orders placed by a customer and a sequence of events associated with each order and identifies an impulse item included in the orders based on a set of rules, attributes of each item, and/or the sequence of events. The system applies a model to predict a measure of similarity between the impulse item and each of multiple candidate items and identifies larger-size variants of the impulse item based on this prediction and attributes of the impulse item and each candidate item. The system applies another model to predict a likelihood the customer will order each variant, computes a recommendation score for each variant based on this prediction, and determines whether to recommend each variant based on the score. Based on the determination, the system generates and sends a recommendation for a variant to a client device associated with the customer.

Abstract: The disclosure provides coated tubings, including a layer of PEBA (or other polymer) on an etched polymeric tubing. The layer of PEBA (or other polymer) can have a low thickness, e.g., less than 1 micron and can provide for efficient bonding to an overlying jacket layer. The disclosure further provides methods of making and using such coated tubings.

Abstract: The disclosure provides tubes including a blend of two or more polyethylenes. For example, the blend can comprise at least 80% by weight of one or more of LLDPE, LDPE, MDPE, and HDPE, and no more than 20% by weight of UHMWPE. Such tubes can have low average wall thicknesses, e.g., 0.1 mm or less, rendering them suitable for use as catheter liners.

Abstract: The present disclosure relates to stable, liquid pharmaceutical compositions of losartan or pharmaceutically acceptable salts thereof for oral administration. The present disclosure further provides powder compositions for reconstitution to provide a liquid formulation. In further aspects, the present disclosure relates to processes for preparation of such pharmaceutical compositions, and methods of treating a subject in need of losartan by administration of a formulation described herein.

Abstract: A combustor comprising a dome wall, an annular liner, a combustion chamber, a set of fuel cups, and a set of dilution passages for each fuel cup of the set of fuel cups. The set of fuel cups circumferentially spaced along the dome wall relative to the combustor centerline. The set of dilution passages terminating in a plurality of slots spaced about the corresponding fuel cup in the set of fuel cups.

Abstract: The present disclosure relates generally to medical imaging, and more specifically to machine-learning techniques to generate enhanced fluorescence images of a subject (e.g., to aid a surgery, to aid diagnosis and treatment of diseases). The system can receive a visible-light image of the subject; identify a background area in the visible-light image by providing the visible-light image to one or more trained machine-learning models; and enhance the fluorescence medical image by suppressing a plurality of pixels in the fluorescence medical image that correspond to the identified background area in the visible-light image relative to the rest of the pixels in the fluorescence medical image.

Abstract: A method for generating a neurofeedback signal for neurofeedback session on low powered devices is disclosed. The method includes (a) capturing one or more bio-signals from one or more electronic devices, comprising one or more digital biomarkers; (b) measuring a baseline activity associated with the captured one or more digital biomarkers during a resting state of the brain; (c) measuring an activity rate based on the one or more digital biomarkers; (d) computing a threshold value at a plurality of time series in the neurofeedback session based on at least one of: the measured activity rate and the one or more digital biomarkers captured during the baseline activity of the brain using an activity model; and (e) outputting of the neurofeedback signal corresponding to the neurofeedback session to the user based on the computed threshold value.

Abstract: A scaling system is disclosed. The scaling system scales services for a high velocity event. To manage the scaling, a hierarchy of instruction routing network nodes is generated. The instruction routing network nodes provide scaling instructions to some of the services for the HVE. Some of the instruction routing network nodes generate or forward scaling instructions to down hierarchy instruction routing network nodes.

Abstract: A method, system, and computer program product that is configured to: train at least one model based on a corpus of historical data comprising annotated historical tickets; extract a textual sequence of a historical ticket based on the at least one trained model; determine a sentiment of the textual sequence of the historical ticket; and generate mitigation guidance to mitigate an issue in a current ticket based on the textual sequence of the historical ticket and the determined sentiment of the textual sequence of the historical ticket.

Abstract: Systems and methods for locality testing federated microservice architectures are disclosed. In one embodiment, a computer-implemented method for testing federated architectures may include: (1) associating a microservice testing application program with a set of microservices to create a simulated federated microservice architecture environment; (2) detecting, by the microservice testing application program, relationships associated with the set of microservices generating; (3) generating, by the microservice testing application program, test cases for testing a target microservice in the set of microservices; and (4) evaluating, by the microservice testing application program, a performance of the target microservice in the simulated federated microservice architecture environment based on the test cases.

Abstract: A surveillance monitoring system may use a camera to detect any viewing faces visible within viewing sight of a monitor and determine whether the detected viewing faces belong to authorized individuals who are authorized to view video surveillance footage on the monitor or if any of the detected viewing faces belong to individuals who are not authorized to view video surveillance footage on the monitor. When the detected viewing faces belong only to authorized individuals, the surveillance monitoring system continues to display the video surveillance footage that includes identifiable faces without anonymizing the identifiable faces. When the detected viewing faces also include unauthorized individuals, the surveillance monitoring system may continue to display the video surveillance footage, but the surveillance monitoring system may automatically anonymize one or more of the identifiable faces seen in the video surveillance footage.