Abstract: Methods and systems disclosed herein describe deploying a plurality of microservices to calculate an insurance rate. The plurality of microservices may operate in parallel to calculate a plurality of partial rates that are combined (e.g., added up) to determine the insurance rate. During the calculating steps, one or more rating factors may be cached and/or stored. The plurality of microservices may reduce the time and/or resources required by a processor to calculate an insurance rate, while the stored rating factors may be displayed to the user to provide greater transparency into how the insurance rate was calculated.

Abstract: Provided herein are systems, devices, and methods for performing optical multianalyte detection in a sample, such as a human blood sample. The system processes sample in a single-use support pack that holds the blood sample and contains pipette tips, buffers, reagent preparation wells and a monolayer. Sample is transferred from the sample pack to a single-use disc consumable that contains microwells pre-filled with dried chemistries, plasma separation features, and a hematocrit channel. The instrument comprises a cell imager, an absorbance module comprising a spectrophotometer, a fluorescent laser scanning module, and a camera. The system uses only a small amount of blood from a single heparinized sample, to simultaneously provide results for a full panel of routine blood tests spanning elecochemistry, clinical chemistry, hematology, immunoassays and combinations thereof.

Abstract: The present disclosure generally relates to systems and methods for regulating temperatures around an extremity of a subject. For example, the subject may be a subject having neuropathy, or other conditions in which control of the temperature around the extremity may be beneficial. For example, one aspect is generally directed to a device for regulating temperatures. The device can be used to surround an extremity, such as a hand or foot. The device may include a frame in which the extremity is located, and optionally fabric or other material draped around at least portion of the frame. These may be positioned so as to avoid contact with the extremity. Air may be distributed in an interior region within the frame, e.g., to regulate the temperature therein. In addition, in some cases, aromatic substances such as essential oils may be present in the interior region. Other aspects are generally directed to regulating the temperature of an extremity of a subject, e.g.

Abstract: Methods and systems disclosed herein describe a universal access layer that allows a plurality of applications to obtain data and/or information from a plurality of heterogeneous data stores. The universal access layer may include one or more application data objects to validate requests, transform a format of the request, determine which data stores comprise the requested data and/or information, encrypt the request, combine responses into a single response, and retransform the response prior to sending it to the requesting application. By using the universal access layer, applications may improve the speed with which they access data and/or information from the plurality of heterogeneous data stores.

Abstract: Methods and systems disclosed herein describe deploying a plurality of microservices to calculate an insurance rate. The plurality of microservices may operate in parallel to calculate a plurality of partial rates that are combined (e.g., added up) to determine the insurance rate. During the calculating steps, one or more rating factors may be cached and/or stored. The plurality of microservices may reduce the time and/or resources required by a processor to calculate an insurance rate, while the stored rating factors may be displayed to the user to provide greater transparency into how the insurance rate was calculated.

Abstract: Methods and systems disclosed herein describe a canonical model that sets forth a standardized schema that represents data entities and their relationships as a logical data structure across multiple business units. A schema validator module may validate application-specific schema against the canonical module. Additionally, legacy and/or existing applications may be upgraded, through a transformation module, to comply with the canonical model. The transformation module may transform application-specific data and/or information to the standardized schema, and vice versa, to ensure that legacy and/or existing applications may communicate with applications and/or processing engines that comply with the standardized schema.

Abstract: One or more examples relate to a method that includes: applying oversampling to data on a reception datapath of a physical layer; generating a first signal indicating relationships between patterns exhibited by portions of oversampled data and a predetermined pattern; generating a second signal indicating an observed feature of the first signal, the observed feature indicative of a highest relationship between the patterns exhibited by respective portions of oversampled data and the predetermined pattern; and providing the second signal to indicate presence of a portion of data corresponding to the predetermined pattern at a coupled portion of the reception datapath of the physical layer.

Abstract: Disclosed is a device configured for placement in the trunk of a vehicle. Embodiments are used to provide a buffer for protecting the front trunk of a vehicle. The device includes fire retardant/extinguisher powder that releases in the event of a fire caused by collision. In embodiments, the device may consist of one or more layered structures of geometry shapes. The structure consists of vertical geometry cells for storing fire retardant extinguisher powders. Other accessories such as a top covering and handle may apply depending on the embodiments.

Abstract: An apparatus may comprise processing circuitry, a first pair of terminals, and a second pair of terminals that are electrically connected to a cable. The processing circuitry may provide a periodic signal including pulses to the first terminal. The duration of each of the pulses may be at least double the time of travel of the pulses along the length of the cable. The processing circuitry may also detect a fault in the cable responsive to a received signal at the second terminal responsive to the periodic signal.

Abstract: One or more examples relate, generally, to a method that includes: recording a value representing a time duration for a frame moving toward a cable or MAC to travel between a predetermined reference plane of a PHY-MAC interface to a predetermined reference plane of a PHY-able interface; and asserting an indication that the recorded value is available to be read from a PHY.

Abstract: Cable fault detection using reconstructed reflection signals and related systems, methods, and devices are disclosed. An apparatus includes a terminal to provision and observe a signal on the cable and a processing circuitry. The processing circuitry may reconstruct a reflection signal at least partially responsive to the observed signal, generate correlation values between the reconstructed reflection signal and multiple signals representing the transmit signal as variably delayed; and determine whether a fault is present in the cable at least partially responsive to the correlation values.

Abstract: Methods and systems disclosed herein describe a canonical model that sets forth a standardized schema that represents data entities and their relationships as a logical data structure across multiple business units. A schema validator module may validate application-specific schema against the canonical module. Additionally, legacy and/or existing applications may be upgraded, through a transformation module, to comply with the canonical model. The transformation module may transform application-specific data and/or information to the standardized schema, and vice versa, to ensure that legacy and/or existing applications may communicate with applications and/or processing engines that comply with the standardized schema.

Abstract: Reducing emissions of predetermined frequencies using delay elements and related apparatuses, methods, and systems are disclosed. An apparatus includes an input terminal to receive a signal, delay elements electrically connected to the input terminal, an output terminal to provide a reduced slew rate signal, and combination circuitry electrically connected to the delay elements and the output terminal. The delay elements provide delayed signals responsive to the received signal. Respective ones of the delayed signals include delayed versions of the received signal. The combination circuitry combines the delayed signals to generate the reduced slew rate signal. Delays associated with the delay elements are chosen to reduce emissions of one or more predetermined frequencies of the reduced slew rate signal as compared to the received signal.

Abstract: Methods and systems disclosed herein describe a canonical model that sets forth a standardized schema that represents data entities and their relationships as a logical data structure across multiple business units. A schema validator module may validate application-specific schema against the canonical module. Additionally, legacy and/or existing applications may be upgraded, through a transformation module, to comply with the canonical model. The transformation module may transform application-specific data and/or information to the standardized schema, and vice versa, to ensure that legacy and/or existing applications may communicate with applications and/or processing engines that comply with the standardized schema.

Abstract: A method for training a weight-sharing neural network with stochastic architectures is disclosed. The method includes (i) selecting a mini-batch from a plurality of mini-batches, a training data set for a task being grouped into the plurality of mini-batches and each of the plurality of mini-batches comprising a plurality of instances: (ii) stochastically selecting a plurality of network architectures of the neural network for the selected mini-batch; (iii) obtaining a loss for each instance of the selected mini-batch by applying the instance to one of the plurality of network architectures; and (iv) updating shared weights of the neural network based on the loss for each instance of the selected mini-batch.

Abstract: Systems, devices, and methods of configuring and operating a de-identification system are provided. At least one electronic data model is maintained, which includes a plurality of de-identification requirements for removing personal information from clinical data obtained in a clinical environment, the plurality of de-identification requirements including requirements applicable to at least one jurisdiction of a plurality of jurisdictions. An identifier identifying one of the jurisdictions is received. The data model is traversed to determine a subset of the de-identification requirements applicable to the identified jurisdiction. Data defining a user selection of operating parameters of the de-identification system are received. The user selection is analyzed for conformity with the subset of de-identification requirements. In response to determining the user selection conforms with the subset of de-identification requirements, a signal is generated indicating the conformity.

Abstract: A description of a conversation may be generated to allow a person to understand important aspects of the conversation without needing to review the conversation. The conversation description may be generated by identifying one or more events that occurred in the conversation and then generating the description using the identified events. A set of possible events may be determined in advance for a particular application. The events may be identified by using an event neural network for each event. Each event neural network may process the messages of the conversation to generate an event score that indicates a match between the conversation and the corresponding event. The event scores may then be used to select one or more events. Message scores from the event neural network of a selected event may then be used to select one or more messages of the conversation as a rationale for the selected event.

Abstract: An improved approach is described herein wherein an automated de-identification system is provided to process the raw captured data. The automated de-identification system utilizes specific machine learning data architectures and transforms the raw captured data into processed captured data by modifying, replacing, or obscuring various identifiable features. The processed captured data can include transformed video or audio data.

Abstract: Physical layer devices and related methods for determining Bit Error Rates (BERs) and correcting errors in signals received through shared transmission media of wireless local area networks are disclosed. A physical layer device is configured to identify coding violations in received signal, determine a rate of the coding violations in the signal, and estimate a BER of the signal to be equal to the determined rate of the coding violations. A physical layer device is configured to invert a half symbol immediately preceding or immediately following a coding violation based, at least in part, on signal integrities of the half symbol immediately preceding and the half symbol immediately following the coding violation to correct a bit error.

Abstract: The disclosure provides systems and methods for generating a signal peptide amino acid sequence using deep learning.