Abstract: Techniques for extracting data from conversations across different types of communication channels are disclosed. A system applies a set of rules to extract data from conversations based, at least in part, on a type of communication channel used for conducting the conversation. The system applies a machine learning model to recognize semantic content in conversations. The system divides conversations into conversation segments and classifies the conversation segments based on the semantic content. The system selects conversation segments to be extracted based on the semantic content and the type of communication channel over which a conversation is conducted. The system maps conversation segments from different conversations conducted on different types of communication channels to a same set of transactions.

Abstract: A method implemented via execution of computing instructions configured to run at one or more processors and stored at one or more non-transitory computer-readable media. The method can include receiving, via a computer network, an ad request. The method also can include retrieving ad candidates from an ad database. The method further can include determining a respective ad ranking score for each of the ad candidates, based at least in part on the ad request and respective historical retrieval scores for each of the ad candidates.

Abstract: An access point that detects a duplicate address is described. During operation, the access point may receive a request associated with an electronic device, where the request includes an address of the electronic device (such as an IP address). In response, the access point may perform a comparison of the address to stored addresses of one or more electronic devices that are associated with the access point. When the comparison indicates that the address is in use by another electronic device in the one or more electronic devices, the access point may provide a response addressed to the electronic device that indicates that the address is in use. Otherwise, the access point may check with a remainder of a network to see if the address is in use. If the address is in use, the access point may provide the response.

Abstract: A traction battery venting system includes, among other things, an engine exhaust system that discharges engine exhaust gas to an area outside an electrified vehicle. The engine exhaust gas is emitted from an internal combustion engine of the electrified vehicle. The system further includes a sound deadening device of the engine exhaust system, a traction battery, and a battery vent system that communicates battery vent byproducts to the engine exhaust system at a position that is downstream from the sound deadening device. The battery vent byproducts are emitted from the traction battery of the electrified vehicle.

Abstract: A network device includes at least one port and a processor for use in a network for communicating a packet. The processor is configured to obtain a packet header for a packet and perform telemetry using postcard and/or passport approaches. The processor uses a repurposed field in the packet header to indicate telemetry is to be performed on the packet.

Abstract: Techniques for runtime customization and management of user interfaces for enterprise applications are disclosed. In some embodiments, the techniques include tools, systems, and processes for building frontend, technology-independent user interfaces. A system may consume user input files that are language dependent and generate a metadata file that is language independent. The metadata file may be updated to customize or otherwise modify a user interface of an application at runtime. An event signal may be raised to notify the application when a new user interface is available. In response to detecting the signal, the application may refresh the user interface, including the application page being currently viewed, to modify the set of user interface components that are rendered and displayed to the end user. The system may store metadata for multiple versions of the user interface to allow users to quickly roll back to prior versions of a user interface.

Abstract: For patient weight estimation in a medical imaging system, a patient model, such as a mesh, is fit to a depth image. One or more feature values are extracted from the fit patient model, reducing the noise and clutter in the values. The weight estimation is regressed from the extracted features.

Abstract: Systems, methods and techniques for training and applying machine learning models to predict whether or not one or more individuals will suffer a fall event. In certain embodiments, a machine learning model can include both a static component and a dynamic component, where each component is associated with different types of medical data. In certain embodiments, an adjustment factor based on fall history of individuals is applied to the output of the machine learning model to generate a final score predictive of a fall event. In certain embodiments, the machine learning model is both trained and applied to medical data associated with predetermined forms, and where the predetermined forms include a value range associated with a medical condition.

Abstract: Techniques for improved resource allocation via machine learning are provided. A set of resident characteristics for a first residential facility is received. A future staffing allocation is generated by processing the set of resident characteristics using one or more trained machine learning models, and modification of future staffing of the first residential facility is initiated based on the future staffing allocation.

Abstract: Certain aspects of the present disclosure provide techniques for predicting wound management treatment resources. This includes determining characteristics of a wound for a patient based on an image of the wound, including detecting the characteristics based on analyzing the image using a first machine learning (ML) model trained to detect wound characteristics from a captured image. The techniques further include predicting at least one of: (i) treatment resources or (ii) a treatment facility for treating the wound, including providing to a second trained ML model characteristics of the wound, patient medical data for the patient, and treatment facility data describing a plurality of available treatment facilities.

Abstract: Certain aspects of the present disclosure provide techniques for wound management and treatment. This includes determining characteristics of a wound for a patient based on an image of the wound, including detecting the characteristics based on analyzing the image using a first ML model. The techniques further include identifying patient medical data including characteristics relating to a medical history for the patient, and predicting a first care plan for the patient based on providing the characteristics of the wound and the patient medical data to a second ML model. The first care plan is configured to be used to treat the wound for the patient.

Abstract: Certain aspects of the present disclosure provide a wound management system and method for predicting and avoiding wounds in a healthcare facility. The method includes collecting data relating to a patient’s health and applying a machine learning model to the data relating to the patient’s health to predict a first probability that the patient will sustain a first wound while the patient is at a first healthcare facility. The method also includes determining an action that reduces the first probability that the patient will sustain the first wound and communicating, to the first healthcare facility, a message indicating that the action should be taken to reduce the first probability that the patient will sustain the first wound while the patient is at the first healthcare facility.

Abstract: Certain aspects of the present disclosure provide techniques for wound management and treatment. This includes determining characteristics of a wound for a patient based on an image of the wound, including detecting the characteristics based on analyzing the image using a first ML model trained to detect wound characteristics from a captured image. The techniques further include identifying patient medical data including characteristics relating to a medical history for the patient, and predicting a first care plan for the patient based on providing the characteristics of the wound and the patient medical data to a second ML model. The second ML model is trained to predict the first care plan using prior wound care outcome data including a prior wound care outcomes relating to prior patients. The first care plan is configured to be used to treat the wound for the patient.

Abstract: Systems, methods, and other embodiments associated with automatically expanding channels for bots are described. In one embodiment, a system includes a bot repository configured to identify each bot of a plurality of bots available in the computing system. A channel metadata repository is configured with channel configuration metadata for each channel of a plurality of channels available to the plurality of bots. The channel configuration metadata includes metadata that defines a specified format for communicating data with a target channel. A bot manager is configured to provide communication between each bot of the plurality of bots and each channel of the plurality of channels by at least converting output responses from each bot based on the channel configuration metadata associated with a target channel.

Abstract: Provided herein are novel synthetic routes to amines through an oxime intermediate, e.g., 3?-N nucleosides and novel and intermediate compounds produced during these synthetic procedures.

Abstract: Certain aspects of the present disclosure provide a wound management system and method for predicting and treating wounds. The method includes collecting data relating to a patient's health and applying a machine learning model to the data relating to the patient's health to predict a first probability that the patient will sustain a first wound type outside of a care setting. The method also includes, in response to determining that the first probability exceeds a threshold, determining an action that reduces the first probability and communicating, to the patient, a message indicating the action should be taken to reduce the first probability that the patient will sustain the first wound type.

Abstract: A method for calibrating a water injection network model includes obtaining measurements at a wellhead for a plurality of injection wells included in an injection pipeline network and determining an injection rate reconciliation for the plurality of injection wells. This method further includes dividing the injection pipeline network into a plurality of main-loops and subdividing the plurality of main-loops into a plurality of sub-loops. A friction factor multiplier is determined to match a simulated pressure drop in each of the plurality of sub-loops to a measured pressure drop at the wellhead and the water injection network model is calibrated by using the friction factor multiplier.

Abstract: Embodiments of the present disclosure provide a microelectronic assembly comprising: a first integrated circuit (IC) die, the first IC die comprising an input/output (IO) circuit; and a plurality of IC dies, the plurality of IC dies comprising a second IC die, the second IC die comprising a microcontroller circuit to control the IO circuit, wherein the first IC die and the plurality of IC dies are coupled with interconnects having a pitch of less than 10 micrometers between adjacent ones of the interconnects.

Abstract: A microelectronic assembly is provided, comprising: a first integrated circuit (IC) die having a first connection to a first serializer/deserializer (SERDES) circuit and a second connection to a second SERDES circuit; a second IC die having the first SERDES circuit; and a third IC die having the second SERDES circuit, in which the first IC die is in a first layer, the second IC die and the third IC die are in a second layer not coplanar with the first layer, the first layer and the second layer are coupled by interconnects having a pitch of less than 10 micrometers between adjacent ones of the interconnects, and the first SERDES circuit and the second SERDES circuit are coupled by a conductive pathway.

Abstract: Methods and systems are provided for adjusting a position of an exhaust valve that regulates engine exhaust noise. In one example, the position of the exhaust valve is adjusted according to a distance between a first vehicle and a second vehicle. The exhaust valve may be adjusted to reduce an exhaust noise level when the distance between the first vehicle and the second vehicle is less than a threshold distance.