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: Systems and methods for continuous monitoring of the behavior of animals, such as small rodents, are provided. Monitoring can include video, audio, and other sensor modalities. In one embodiment, the system can include cameras, arena design, environmental sensors, and ultrasonic sensors. The system uniquely provides a continuous long-term monitoring system suitable for mouse behavioral study. Further provided is a neural network based tracker configured for use with video data acquired by the monitoring system. 3 different neural network architectures have been tested to determine their performance on genetically diverse mice under varying environmental conditions. It has been observed that that an encoder-decoder segmentation neural network achieves high accuracy and speed with minimal training data.

Abstract: Examples provide order fulfillment that includes receiving an online order from a user. An initial distribution hub for delivery of the order is identified and the order routed from the initial distribution hub to an intermediate hub. A notification of receipt of the order at the intermediate hub is received and a user location is determined. A plurality of options for routing the order to a next hub based on the user location and a cost associated with routing the order to the next hub are identified. The cost is based on a bidding process performed among a plurality of possible hubs to which the order will be routed. The order is routed to the next hub in response to a user confirmation of acceptance of a change in delivery location for the order.

Abstract: Aspects of the disclosure are directed to a storage device including a memory and a controller. The memory may include a plurality of flash memory blocks such as single level cell (SLC) blocks and multi-level cell (MLC) blocks. The controller may maintain a read count of each of the SLC blocks to determine which of the blocks contains data associated with the highest number of read commands. Based on the read commands, the controller may relocate the associated data into pages of MLC blocks that have a lower number of senses required to read the data stored in those blocks.

Abstract: A flow divider comprises a lumen having perpendicular, symmetry planes intersecting in an axis of inertia connecting the ends.

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: The disclosure includes antisense oligonucleotides (ASOs), including gapmer ASOs, and methods of making and using the same.

Abstract: Techniques for managing customer experience content are disclosed. A system detects new information, such as a news story, a new service request, or a modification to a testimonial or case study, associated with a set of customer experience content, such as a customer testimonial. The system analyzes the new information to identify a sentiment associated with the new information. The system generates an effectiveness score for a particular set of customer experience content based on the new information. The system provides attribute data associated with the new information, and attribute data associated with the customer experience content, to a machine learning model to generate the effectiveness score. The system compares the effectiveness score to one or more threshold values to determine an action to perform associated with the customer experience content.

Abstract: Methods and systems for image registration using an intelligent artificial agent are disclosed. In an intelligent artificial agent based registration method, a current state observation of an artificial agent is determined based on the medical images to be registered and current transformation parameters. Action-values are calculated for a plurality of actions available to the artificial agent based on the current state observation using a machine learning based model, such as a trained deep neural network (DNN). The actions correspond to predetermined adjustments of the transformation parameters. An action having a highest action-value is selected from the plurality of actions and the transformation parameters are adjusted by the predetermined adjustment corresponding to the selected action. The determining, calculating, and selecting steps are repeated for a plurality of iterations, and the medical images are registered using final transformation parameters resulting from the plurality of iterations.

Abstract: Disclosed herein are short interfering nucleic acid (siNA) molecules comprising modified nucleotides and uses thereof. The siNA molecules may be double stranded and comprise modified nucleotides selected from 2?-O-methyl nucleotides and 2?-fluoro nucleotides. Further disclosed herein are siNA molecules comprising (a) a phosphorylation blocker, conjugated moiety, or 5?-stabilized end cap; and (b) a short interfering nucleic acid (siNA).

Abstract: Small molecule radiohalogenated PSMA inhibitors and metal complexes thereof and their use in radioimaging and radiotherapy for treating PSMA-related diseases, including prostate cancer, are disclosed. The combination of small molecule radiohalogenated PSMA inhibitors with a competitive PSMA ligand for reducing off target accumulation of the radiohalogenated PSMA inhibitor also is disclosed.

Abstract: Computer-implemented methods for training a neural network, as well as for implementing audio encoders and decoders via trained neural networks, are provided. The neural network may receive an input audio signal, generate an encoded audio signal and decode the encoded audio signal. A loss function generating module may receive the decoded audio signal and a ground truth audio signal, and may generate a loss function value corresponding to the decoded audio signal. Generating the loss function value may involve applying a psychoacoustic model. The neural network may be trained based on the loss function value. The training may involve updating at least one weight of the neural network.

Abstract: Systems and methods described herein provide techniques for detecting subject behavior by processing video data using one or more trained models configured to detect subject behavior. The described system processes sets of frames from the video data using different trained models. The system further processes different orientations of the sets of frames. The various outputs from the different trained models and from processing the different orientations of the sets of frames may be combined to then make a final determination as to whether the subject is exhibiting a particular behavior during a particular frame.

Abstract: Aspects of the disclosure are directed to a storage device including a memory and a controller. The memory may include a plurality of flash memory blocks such as single level cell (SLC) blocks and multi-level cell (MLC) blocks. The controller may maintain a read count of each of the SLC blocks to determine which of the blocks contains data associated with the highest number of read commands. Based on the read commands, the controller may relocate the associated data into pages of MLC blocks that have a lower number of senses required to read the data stored in those blocks.

Abstract: A method includes: determining a wall temperature of a wall enclosing a lumen of a flow line; determining a density, a viscosity, a thermal conductivity, a thermal capacity, and a pressure differential of a medium to be measured flowing in the line; determining a characteristic number value for the medium, which characterizes a heating of the medium flowing in the line as a result of dissipation and is a function of an Eckert number, a Prandtl number, and a pressure loss coefficient of the line as well as line-specific first, second and third exponents; and determining a temperature of the medium using the characteristic number value and the wall temperature. A measuring system for the method includes: a temperature sensor thermally coupled to a lateral surface of the wall and configured to generate a temperature measurement signal; and an operating electronic system electrically connected to the temperature sensor.

Abstract: Embodiments of the present disclosure relate to generating control signals for energy sources. Some embodiments include a method, the method including generating a first control signal at least partially responsive to a request signal and at least partially responsive to a first capability of a first energy source to change a first energy output. The first control signal may be indicative of a first portion of a requested amount of energy to be provided by the first energy source. The method may also include generating a second control signal at least partially responsive to the request signal and at least partially responsive to a second capability of a second energy source to change a second energy output. The second control signal may be indicative of a second portion of the requested amount of energy to be provided by the second energy source. Related devices, systems and methods are also disclosed.

Abstract: Systems, methods, and other embodiments associated with a bot communication system for communicating between channels and bots are described. In one embodiment, a system includes a bot manager configured to provide communication between an individual bot from a plurality of bots and a target channel of a plurality of channels. The bot manager is configured to process a bot response from the individual bot to the target channel by at least: identifying channel configuration metadata from a channel metadata repository that defines a channel dependent format for communicating data with the target channel; converting the bot response to the channel dependent format associated with the target channel including formatting data components from the bot response according to the channel configuration metadata of the target channel; and transmitting, via a network connection, the converted bot response to the target channel in the channel dependent format of the target channel.

Abstract: Systems and methods for continuous monitoring of the behavior of animals, such as small rodents, are provided. Monitoring can include video, audio, and other sensor modalities. In one embodiment, the system can include cameras, arena design, environmental sensors, and ultrasonic sensors. The system uniquely provides a continuous long-term monitoring system suitable for mouse behavioral study. Further provided is a neural network based tracker configured for use with video data acquired by the monitoring system. Three different neural network architectures have been tested to determine their performance on genetically diverse mice under varying environmental conditions. It has been observed that that an encoder-decoder segmentation neural network achieves high accuracy and speed with minimal training data.

Abstract: A device may receive training data that includes datasets associated with natural language processing, and may mask the training data to generate masked training data. The device may train a masked event C-BERT model, with the masked training data, to generate pretrained weights and a trained masked event C-BERT model, and may train an event aware C-BERT model, with the training data and the pretrained weights, to generate a trained event aware C-BERT model. The device may receive natural language text data identifying natural language events, and may process the natural language text data, with the trained masked event C-BERT model, to determine weights. The device may process the natural language text data and the weights, with the trained event aware C-BERT model, to predict causality relationships between the natural language events, and may perform actions, based on the causality relationships.

Abstract: A method, a set-top box, and a non-transitory computer readable medium for content switching and content control based on multi-user profiles. The method includes: capturing, by the set-top box, the facial information of two or more users of the plurality of users viewing content on a media play device, the media play device configured to display content from the set-top box; sending, by the set-top box, the captured facial information of the two or more users of the plurality of user viewing content on the media play device to the server; and receiving, on the set-top box, recommended content for the two or more users viewing the media play device based on a multi-user profile for the two or more users from the plurality of user profiles.