Abstract: The invention provides methods of chemical synthesis of the pharmacological agent 2-[4-[(2,3,4-trimethoxyphenyl)methyl]piperazin-1-yl]ethyl pyridine-3-carboxylate, also called CV-8972. The methods entail formation of a free base form of 2-[4-[(2,3,4-trimethoxyphenyl)methyl]piperazin-1-yl]ethanol, also called CV-8814, as intermediate without producing a salt form of CV-8814.

Abstract: A method for magnetic resonance imaging (MRI) includes determining a Partial Fourier (PF) factor and an acceleration factor for acquiring k-space data from a subject. The method also includes acquiring a set of k-space data from the subject using the PF factor along with an under-sampling technique, wherein the under-sampling technique is dependent on the acceleration factor. The image of the subject is reconstructed by processing the set of k-space data using a deep learning (DL) network.

Abstract: Disclosed herein include compositions and kits comprising recombinant adeno-associated viruses (rAAVs) with tropisms to the central nervous system, the peripheral nervous system, and/or the lung, with increased specificity and transduction efficiency. Also described include methods of treating various diseases and conditions using the rAAVs.

Abstract: An example methodology includes, by a computing device, receiving information regarding a field service dispatch from another computing device and determining one or more relevant features from the information regarding the field service dispatch, the one or more relevant features influencing prediction of a dispatch duration. The method also includes, by the computing device, generating, using a machine learning (ML) model, a prediction of a dispatch duration for the field service dispatch based on the determined one or more relevant features, and sending the prediction of the dispatch duration for the field service dispatch to the computing device.

Abstract: A thermal module includes parts with diverging or divergent walls that cause a capillary pressure gradient in a bonding paste used to secure the parts together. Based in part on the capillary pressure, the bonding paste is drawn in between the divergent walls, including small gaps between the walls. Additionally, during a reflow operation of the bonding paste, particles and/or air bubbles can egress from the bonding paste, allowing the bonding paste to freeze and form a homogeneous structure. By removing particles and air bubbles, the bonding paste can form a more robust structural joint and a hermetic seal for the thermal module. The multiple parts of the thermal module can be formed into their respective shapes prior to be joined together by the bonding paste. As a result, the formation of the thermal module is less likely to damage other structures, such as wick structures.

Abstract: The present application relates to devices and components including apparatus, systems, and methods to configure a UE for dual connectivity. In an example, a network node requests the UE to indicate the capability it supports for the dual connectivity. This request can implicitly or explicitly indicate that the UE should report carrier grouping information. In response, this information is sent by the UE, and the network node can configure an MCG and an SCG for the UE based on the reported carrier grouping information.

Abstract: There is provided a method for consolidating explanations associated with actions proposed based on a current state of a system and an intent. The method includes acquiring first and second explanations, the first and second explanations being associated with a proposed action or with different actions, wherein each of the first and second explanations includes one or more constraints, combining constraints from the first and second explanations to form a set of constraints D, generating a planning problem P=<K, A, I, G, Cost>, wherein K consists of a set of predicates F and the set of constraints D, wherein A represents a set of possible actions, I represents an initial state of the system, G represents a goal state of the system, and Cost represents cost values associated with each constraint, and determining a solution for the planning problem.

Abstract: Embodiments herein relate to hearing assistance systems and devices. In an embodiment, a hearing assistance device is included having a control circuit, a microphone, a motion sensor, a receiver, and a sound processor. The hearing assistance device is configured to output sound to a wearer of the hearing assistance device with the receiver based on sound detected with the microphone, detect chewing of the wearer by evaluating signals from the microphone and/or the motion sensor, and modulate a gain value of the sound processor for sounds output through the receiver based on the chewing detected. Other embodiments are also included herein.

Abstract: Embodiments are described for a user device comprising a transceiver configured to communicate with a server and a processor communicatively coupled to the transceiver. The processor is configured to receive a uniform resource locator (URL) from the server and determine that the URL is a universal link. The processor is further configured to authenticate the universal link and parse the universal link to obtain a domain link. The processor is further configured to connect to the domain link.

Abstract: A system for controlling a photovoltaic (PV)-powered hydrogen production plant includes a plurality of PV modules to receive sunlight and output DC power, wherein the plurality of PV modules are combined in series to create a PV string, at least one power cabinet comprising at least one DC-to-DC power converter to receive DC power from the PV string and provide regulated DC power to an electrolyzer stack, the regulated DC power having regulated output current and/or voltage, and at least one controller to control the at least one DC-to-DC power converter to match the regulated DC power to requirements of the electrolyzer stack.

Abstract: Fetching beyond predicted-taken branch instructions in fetch bundles of processor-based devices is disclosed. In exemplary aspects, a processor-based device comprises an instruction processing circuit configured to process an instruction stream in an instruction pipeline. The instruction processing circuit comprises an instruction fetch circuit configured to generate a fetch bundle comprising a plurality of fetched instructions from the instruction stream, wherein a last fetched instruction of the plurality of fetched instructions is a predicted-taken branch instruction. The instruction processing circuit is further configured to identify the plurality of fetched instructions as a loop iteration. The instruction processing circuit is also configured to determine that at least one loop iteration copy fits within the fetch bundle.

Abstract: A computing platform may train a hybrid deep learning model, including a CNN and RNN, to predict system failure for a system based on telemetry state images and transitions between the telemetry state images. The computing platform may receive initial telemetry data, and may generate an initial telemetry state image. The computing platform may receive additional telemetry data, and may generate an additional telemetry state image. The computing platform may classify, using the CNN and based on historical telemetry state images, the initial telemetry state image and the additional telemetry state image. The computing platform may identify, using the RNN and based on the classified telemetry state images and transitions between the classified telemetry state images, a matching pattern. The computing platform may identify, using the identified matching pattern, a likelihood of failure for the system, and may cause modification of operations at the system to prevent a predicted failure.

Abstract: Systems and methods conversational shopping based on machine learning using both text and image data are disclosed. In some embodiments, a disclosed method includes: obtaining, from a computing device, a search request identifying a reference image representing a first product and a textual query associated with the reference image; computing a text embedding in an embedding space based on the textual query; computing an image embedding in the embedding space based on the reference image; determining, based on at least one machine learning model, a target image representing a second product based on the text embedding and the image embedding; and transmitting, to the computing device, the target image in response to the search request.

Abstract: A vehicular occupant health monitoring system includes a heartbeat sensor disposed at a vehicle and operable to capture sensor data measuring an aspect associated with the heart of an occupant of the vehicle. An electronic control unit (ECU) includes a processor operable to process sensor data captured by the heartbeat sensor and provided to the ECU. The ECU retrieves a profile associated with an occupant from a plurality of profiles, the retrieved profile including nominal health data of the occupant. The vehicular occupant health monitoring system determines whether the measured aspect associated with the heart of the occupant is abnormal. The nominal health data is updated based on processing at the ECU of additional sensor data captured by the heartbeat sensor. Responsive to determining the measured aspect associated with the heart of the occupant is abnormal, speed of the vehicle is prohibited from exceeding a predetermined threshold.

Abstract: Light weight fan casing configurations for energy absorption are disclosed herein. A casing apparatus for an aircraft engine includes a containment casing including a ridge on an exterior surface of the containment casing, and a deflector plate including a first end and a second end, the first end coupled to the ridge, the second end uncoupled to the containment casing.

Abstract: A server is provided. The server comprises one or more interfaces configured to communicate with a client and processing circuitry configured to control the one or more interfaces and to transmit an interrupt to the client informing the client about an operation state of the server.

Abstract: To configure an application platform for policy-based automated exception handling, a plurality of policies are established, each defining a requirement for applications. A plurality of exceptions are also established, each defining an expiration time and indicating at least one of the policies. A processor automatically generates a configuration file associating each of the exceptions with each policy indicated in the exception. The processor then automatically configures the application platform according to the configuration file. As a result of this configuration, an admission controller of the platform selectively tests an application designated for deployment to the application platform, based on a determination whether an exception assigned to the application is presently applicable to the policy. The exception is presently applicable based on an association of the exception with the policy in the configuration file, and a comparison of a present time with the exception's expiration time.

Abstract: A concierge system sends batches of orders to pickers that they can review and accept in a batch list on a client device. Each batch in the batch list is presented with a hide option that enables the picker to hide a batch that they do not intend to accept. In response to receiving a hide signal, the system extracts features associated with the batch and stores those features with a negative indication of the picker towards the batch. The hide signal provides the system with a higher quality signal indicating the picker's negative intent regarding an order, as compared to simply ignoring the order in favor of fulfilling another order. This higher quality signal is then used to train models to better predict events related to the pickers' acceptance of orders, such as for ranking orders for pickers or for predicting fulfillment times.

Abstract: A processor-implemented method for generating grounded rationales for visual reasoning tasks includes receiving, by a first artificial neural network (ANN), an interleaved sequence of images and textual information. The first ANN extracts grid features of the images of the interleaved sequence of the images and the textual information to generate a representation of the interleaved sequence of the images and the textual information based on the grid features. A second ANN maps the grid features to a textual domain. The second ANN extracts visual information of the interleaved sequence of the images and the textual information based on the grid features in the textual domain. The second ANN determines a rationale based on the visual information. The visual information comprises one or more lower-level surrogate tasks.

Abstract: A device for wound irrigation and debridement includes a body extending along a longitudinal axis. The body comprises an interior region and an opening such that that the interior region and the first opening are configured to transfer an irrigation fluid. The body comprises a compliant region having a first stiffness and a debridement region having a different second stiffness. The compliant region defines a distal surface. In a first configuration, the compliant region defines a first axial dimension, the distal surface engages a target body region, and the debridement region is axially offset from the distal surface and disengaged from the target body region. In a second configuration, the compliant region is compressed to define a second axial dimension less than the first axial dimension, thereby engaging the debridement region with the target body region, and the distal surface engages the target body region.