Abstract: A print component includes an array of fluidic actuation structures including a first column of fluidic actuating structures addressable by a set of actuation addresses, each fluidic actuating structure having a different one of the actuation addresses and having a fluidic architecture type, and a second column of fluidic actuating structures addressable by the set of actuation addresses. Each fluidic actuating structure of the second column has a different one of the actuation addresses and has a same fluidic architecture type as the fluidic actuating structure of the first column having the same address. An address bus communicates the set of addresses to the array of fluidic actuating structures, and a fire signal line communicates a plurality of fire pulse signal types to the array of fluidic actuating structures, the fire pulse signal type depending on the actuation address on the address bus.

Abstract: Disclosed herein are anti-V-set domain containing T cell activation inhibitor 1 (VTCN1) antibodies and antibody drug conjugates (ADCs), including compositions and methods of using said antibodies and ADCs.

Abstract: Disclosed are systems and methods for generating graphical displays of analyte data and/or health information. In some implementations, the graphical displays are generating based on a self-referential dataset that are modifiable based on identified portions of the data. The modified graphical displays can indicate features in the analyte data of a host.

Abstract: This disclosure relates to anti-cancer antibodies and methods of treatment, detection, and diagnosis using the same.

Abstract: Various embodiments of a voltage detection device and of related safety systems are provided. In various embodiments, the voltage detection device is configured to couple to safety headwear, such as via the one or more housing(s) of the voltage detection device coupling directly to the safety headwear or the voltage detection device coupling to an adaptor mounted to the hard hat.

Abstract: A diagnostic system for model governance is presented. The diagnostic system includes an auto-encoder to monitor model suitability for both supervised and unsupervised models. When applied to unsupervised models, the diagnostic system can provide a reliable indication on model degradation and recommendation on model rebuild. When applied to supervised models, the diagnostic system can determine the most appropriate model for the client based on a reconstruction error of a trained auto-encoder for each associated model. An auto-encoder can determine outliers among subpopulations of consumers, as well as support model go-live inspections.

Abstract: A system architecture for grid electrical energy storage comprising substantial numbers of cells connected in parallel. The lowest level of modularity comprising about eighteen or more individual cells connected in parallel. The disclosed architecture reduces the number of parts, complexity, and variability, while increasing one or more of reliability, service life, and energy capacity of a large-scale grid energy storage system, relative to a conventional multi-parallel string architecture.

Abstract: Raw sensor data from a device of a user is collected. The raw data does not include location data for the device. The data is preprocessed to identify driving trips in which the user had the device. The trip data is provided to machine-learning models (MLMs) as input and the MLMs provide as output predictions for each trip's estimated speeds, estimated number of hard brakes and a degree of each hard brake, and estimated degrees of distracted driving. A duration, time of day, and calendar date of each trip is identified. The predictions, duration, time of day, and calendar date are modified into four factor values. The four modified factor values are combined into an overall driver characteristic value and provided to a network service associated with the user for purposes of providing or modifying services provided to the user through the network service based on the overall characteristic value.

Abstract: A shingle coating asphalt composition is provided that is produced from a paving grade asphalt. The asphalt composition comprises a paving-grade asphalt that has been modified with one or more polymer additives; and a secondary additive comprising one or more of a viscosity reducing agent, a wax, a salt of a fatty acid ester, and an amide of a fatty acid. The shingle coating asphalt coating composition is used to make a shingle. The shingle includes a substrate, the asphalt, and roofing granules.

Abstract: Systems and methods for providing insights about a machine learning model are provided. The method includes, using training data to train the machine learning model to learn patterns to determine whether data associated with an event provides an indication that the event belongs to a certain class from among a plurality of classes, evaluating one or more features of the machine learning model to produce a data set pairing observed scores S and a set of predictive input variables Vi, and constructing at least one data-driven estimator based on an explanatory statistic, the estimator being represented in a computationally efficient form and packaged with the machine learning model and utilized to provide a definition of explainability for a score generated by the machine learning model.

Abstract: Provided herein are antibodies that bind to the alpha subunit of an IL-7 receptor (IL-7R?). Also provided are uses of these antibodies in therapeutic applications, such as treatment of inflammatory diseases. Further provided are cells that produce the antibodies, polynucleotides encoding the heavy and/or light chain regions of the antibodies, and vectors comprising the polynucleotides.

Abstract: An integrated circuit is described. This integrated circuit may include: an interface module with a first power domain and a second power domain. The first power domain may include a digital controller, and the second power domain may include a first analog front end (AFE) circuit. Moreover, the interface module may include up/down level shifters that communicate electrical signals that include a DC component from the first power domain to the second power domain. In some embodiments, the integrated circuit may provide a fully on-chip solution to handle level shifting between the AFE circuit and a digital controller in Universal Serial Bus (USB) 2.0 during communication of electrical signals in a full-speed mode and/or a high-speed mode.

Abstract: Various aspects of the present disclosure are directed toward apparatuses, systems, and methods that may include a connector port subassembly. The connector port subassembly may include one or more connector blocks configured to interference fit within a connector bore, one or more windows through the core subassembly to the one or more connector blocks, and one or more seal rings configured to interference fit within the connector bore and eliminate adulterant entry into the connector bore through the one or more windows.

Abstract: Techniques for a privacy-based user data sharing protocol disclose a system that receives a request to consent to share user data with a subscriber device. The system identifies, based on the request, a smart contract associated with the subscriber device. The smart contract comprises one or more conditions for collecting and managing the user data. The system generates a token based on the smart contract, in which the token indicates consent by a user to share the user data with the subscriber device according to the one or more conditions. The system records the generated token to a blockchain.

Abstract: Robotic systems for orthopedic surgery are provided. The robotic systems may include at least first and second motors coupled to each other. An output shaft of one of the motors may be connectable to a surgical tool guide. An output shaft of another of the motors may be coupled to a portion of a ball and socket joint. A corresponding portion of the ball and socket joint may be coupled to a bone mount which may be attached to a bone to mount the first and second motors to bone for performing orthopedic surgical procedures.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing tip-pooling aggregation and distribution. In some implementations, data is extracted from a plurality of different data sources. The data is normalized to a same format. The normalized data, which is attributed to a remote identifier, is indexed to an identifier representing a same source as the remote identifier. Portions of the normalized data indexed to the same contribution source are allocated to buckets based on a contribution period and a role for the same contribution source and a rule applicable to the contribution period. Portions of the normalized data indexed to different contribution sources are aggregated in the buckets to different contribution sources according to the allocation rule. The aggregated portions of the normalized data are assigned to targets based on assignment rules applicable to the buckets and distribution targets active during the contribution period.

Abstract: An electric pump system and method of operating the same involves pumping a fluid through a fluid passageway defined in a mechanical pump from a pump inlet to a hollow shaft of a motor, through the hollow shaft to an internal motor cavity defined by a housing of the motor, and through another fluid passageway defined in the motor housing and mechanical pump that leads to a pump outlet. The system and method further involve pumping the fluid through another fluid passageway defined in the mechanical pump from yet another pump inlet to the pump outlet. The temperature of fluid exiting the hollow shaft can be assessed and used by an electronic control unit (ECU) of the electric pump system to control the same. The electric pump system can be part of a cooling and lubrication system for an electric vehicle transmission, gearbox, differential or transfer case, for example.

Abstract: Systems and methods for generating concise explanations of scored observations that strike good, and computationally efficient, trade-offs between rank-ordering performance and explainability of scored observations are disclosed. The systems and methods described herein for explaining scored observations are based on a framework of partial dependence functions (PDFs), multi-layered neural networks (MNNs), and Latent Explanations Neural Network Scoring (LENNS).

Abstract: The disclosed invention provides a bridge voltage inversion circuit for vacuum gauge and a pressure gauge sensor that includes the bridge voltage inversion circuit. The bridge voltage inversion circuit for a pressure gauge includes a reference capacitance, a sensor capacitance, and a transformer including a primary winding and a secondary winding that outputs a bridge voltage. The reference capacitor is connected to a first side of the secondary winding of the transformer, and the sensor capacitor is connected to a second side of the secondary winding of the transformer. The sensor capacitor senses and responds to a pressure, and a capacitance of the sensor capacitor is at a minimum when the pressure is at vacuum. The capacitance of the sensor capacitor at vacuum is less than a capacitance of the reference capacitor.