Abstract: Aircraft electric motors include a motor unit having a rotor and a stator. The stator includes a plurality of windings and cooling channels arranged to provide cooling thereto. A drive unit is configured to drive operation of the motor unit. A cooling system includes a working fluid arranged within a cooling fluid flow path, wherein the cooling fluid flow path includes a liquid cooling path configured to direct flow of the working fluid through, at least, the cooling channels of the motor unit and a vapor cooling path configured to direct flow of the working fluid through the drive unit and a separator arranged upstream of each of the liquid cooling path and the vapor cooling path and configured to direct a liquid portion of the working fluid into the liquid cooling path and configured to direct a vapor portion of the working fluid into the vapor cooling path.

Abstract: A polyacrylonitrile (PANi) based pharmaceutical composition providing a porous implant for use in treating spinal cord trauma and/or spinal cord injury. Particularly a pharmaceutical composition including polyacrylonitrile (PANi) and/or elastin (E) and/or collagen (C) to form a PANi-E and/or PANi-C and/or a PANi-EC polymer network. Particularly, a pharmaceutical composition including polyacrylonitrile (PANi), elastin (E), and collagen (C) together forming a polyacrylonitrile (PANi), elastin (E), collagen (C) polymer network (PANi-E-C), wherein the polyacrylonitrile (PANi) may be crosslinked to form a crosslinked interpenetrating polyacrylonitrile (PANi), elastin (E) and collagen (C) polymer network (xpi-PANi-E-C), and wherein secondary protein structures of elastin (E) and collagen (C) reorientate. The disclosure extends to use of the pharmaceutical composition in the treatment of spinal cord trauma and/or spinal cord injury.

Abstract: An example system is configured to: (i) receive data indicating a command to play back audio content, where the data indicating the command to play back audio content is received via a voice input that is detected by a first zone player, (ii) based on the data indicating the command, determine a playback condition comprising a particular zone player, (iii) identify a user account associated with the first zone player, (iv) based at least on (a) the command and (b) the identified user account, determine audio content for playback, and (v) play back the determined audio content via the particular zone player.

Abstract: Systems and processes for providing response suggestions are provided. In one example process, a textual representation of a message is received. Based on the textual representation of the message, one or more response categories and a predetermined number of suggested inputs corresponding to each of the one of more response categories are obtained. Based on the predetermined number of suggested inputs corresponding to each of the one of more response categories, one or more suggested inputs for each of the one or more response categories are determined. The one or more suggested inputs are provided as response suggestions to the message.

Abstract: A system may use sensor data from a facility to generate tentative values associated with an event, such as the identification of an item removed from a shelf of the facility. A confidence value associated with each of the tentative values may be less than a confidence threshold. In response, inquiry data seeking confirmation of a tentative value from an associate is generated and sent to one or more associates in the facility. Responses from the associates are collected to determine a selection of one of the tentative values. The selected tentative value is designated as output data for the system. Thereafter, the output data and the original sensor data are designated as training data, which can then be used to train or update machine learning systems. Subsequent use of the updated machine learning systems can yield more accurate results.

Abstract: A method for marking text in digital typography includes identifying one or more glyphs that intersect or overlap with a text marking bounding box, drawing a modified text marking to avoid intersecting with the one or more glyphs, and causing a display device to display the modified text marking with the text. The text marking is associated with a line of text including the glyphs or adjacent to a waxline of text including the glyphs. For each of the glyphs, the glyph corresponding to the glyph bounding box intersecting with the text marking is indicated. The modified text marking is drawn based on outlines of the glyphs, intersections between a text marking bounding box and the glyph outlines, and a user-specified glyph offset, text marking weight, and/or text marking offset to avoid intersecting with the glyphs. The shape of the modified text marking avoids intersecting with or overlapping the glyph.

Abstract: Methods, systems, and devices for wireless communications are described. A device (such as a first user equipment (UE)) may communicate control signaling indicating a resource allocation for a sidelink channel. The first UE may receive, from a second UE, a first resource map. The first resource map may indicate a first sidelink transmission scheduled within a first time and frequency resource of the resource allocation, a first priority level of the first resource map, and a parameter threshold used to generate the first resource map. In some cases, the first UE may communicate a second sidelink transmission within the resource allocation for the sidelink channel based on the first resource map.

Abstract: A combustor for a gas turbine engine, the gas turbine engine defining a longitudinal centerline extending in a longitudinal direction, a radial direction extending orthogonally outward from the longitudinal centerline, and a circumferential direction extending concentrically around the longitudinal centerline, the combustor including: a liner at least partially defining a combustion chamber of the gas turbine engine, wherein the liner comprises a looped feature.

Abstract: Reliability monitoring can be performed for compute instances in a cluster with auto-scaling capability. Such monitoring can analyze state information for various instances, such as spot instances, to determine when an interruption or termination is to occur. An impact assessor can determine the impact on performance due to any such interruption or termination, and if necessary to maintain at least a minimum level of performance then an action performer can obtain additional or alternate instances, which may be of a different type, to make up for lost capacity. Any tasks being performed can be migrated to the newly-allocated instances without any failures or significant impact on performance, and the previously-utilized instances can be released corresponding to the termination or interruption.

Abstract: Provided is a method performed by a user equipment (UE) in a wireless communication system supporting Evolved Universal Mobile Telecommunications System Terrestrial Radio Access Network (E-UTRAN) New Radio (NR)-Dual Connectivity (ENDC). The method includes: receiving system information including information on an NR band list supported in the ENDC; identifying, based on the system information, NR bands supported at LTE frequencies of Long Term Evolution (LTE) bands in a most recently used (MRU) LTE frequency list of the UE; prioritizing the LTE frequencies in the MRU LTE frequency list, based on the supported NR bands and an ENDC capability of the UE; and performing a cell selection based on the prioritized MRU LTE frequency list.

Abstract: A system tokenizes raw values and corresponding standardized values into raw token sequences and corresponding standardized token sequences. A machine-learning model learns standardization from token insertions and token substitutions that modify the raw token sequences to match the corresponding standardized token sequences. The system tokenizes an input value into an input token sequence. The machine-learning model determines a probability of inserting an insertion token after an insertion markable token in the input token sequence. If the probability of inserting the insertion token satisfies a threshold, the system inserts the insertion token after the insertion markable token in the input token sequence. The machine-learning model determines a probability of substituting a substitution token for a substitutable token in the input token sequence.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit, to a second user equipment, an indication of a time buffer threshold associated with providing sidelink hybrid automatic repeat request feedback on a physical sidelink feedback channel. The UE may receive, from the second user equipment, an indication of an agreement to use the time buffer threshold. The UE may transmit, to the second user equipment and based at least in part on the indication of the agreement, sidelink hybrid automatic repeat request feedback for a sidelink communication received from the second user equipment, the sidelink hybrid automatic repeat request feedback being transmitted on the physical sidelink feedback channel based at least in part on the time buffer threshold. Numerous other aspects are provided.

Abstract: An example apparatus includes: an output terminal, pull-down circuitry coupled to the output terminal, the pull-down circuitry including: a resistor with a first resistor terminal and a second resistor terminal, the first resistor terminal coupled to the output terminal, a capacitor with a first capacitor terminal and a second capacitor terminal, the first capacitor terminal coupled to the output terminal, a first transistor coupled to the second resistor terminal, a second transistor coupled to the first transistor and the second resistor terminal, and a third transistor coupled to the second transistor.

Abstract: Techniques for voice-based interactions are described. In an example, a device presents a user interface on a display. The device starts an operational mode of the device. The operational mode restricts voice-based interactions with the user interface to a set of commands. The set of commands is defined in a language model that is stored on the device. Further, the device receives, at a microphone of the device, audio data corresponding to a natural language utterance and generates, from the audio data, text data that corresponds to the natural language utterance. The device determines, based at least in part on the language model, that semantics of the text data correspond to a command from the set of commands and presents, on the display, an outcome of performing the command.

Abstract: Systems and methods for contextual memory capture and recall are provided. The contextual memory capture and recall systems and methods help a user create, store, and recall memory information associated with an identified activity. The contextual memory capture and recall systems and methods are capable of identifying user activities where a memory inquiry may be desirable, creating a memory inquiry with a recommended memory action based on the activity, providing the memory inquiry to the user, and automatically linking an accepted memory action, along with any received memory information for the memory action, with the identified activity.

Abstract: A computer extracts a vocal portion from a first audio content item and determines a first representative vector that corresponds to a vocal style of the first audio content item by applying a variational autoencoder (VAE) to the extracted vocal portion of the representation of the audio content item. The computer streams, to an electronic device, a second audio content item, selected from a plurality of audio content items, that has a second representative vector that corresponds to a vocal style of the second audio content item, wherein the second representative vector that corresponds the vocal style of the second audio content item meets similarity criteria with respect to the first representative vector that corresponds to the vocal style of the first audio content item.

Abstract: A system includes a memory device having multiple dice and a processing device operatively coupled to the memory device. The processing device receives a memory operation to program a set of pages of data across at least a subset of the plurality of dice. The processing device partitions the set of pages into a set of partitions and associates a first partition of the set of partitions with a first block family. The processing device assigns the first block family to a first threshold voltage offset bin and stores, in a metadata table, at least one bit to indicate that the set of pages is partitioned.

Abstract: The present disclosure describes systems and methods for image processing. Embodiments of the present disclosure include an image processing apparatus configured to generate modified images (e.g., synthetic faces) by conditionally changing attributes or landmarks of an input image. A machine learning model of the image processing apparatus encodes the input image to obtain a joint conditional vector that represents attributes and landmarks of the input image in a vector space. The joint conditional vector is then modified, according to the techniques described herein, to form a latent vector used to generate a modified image. In some cases, the machine learning model is trained using a generative adversarial network (GAN) with a normalization technique, followed by joint training of a landmark embedding and attribute embedding (e.g., to reduce inference time).

Abstract: Systems and methods are described herein such that, a media guidance application presents, in an interactive program guide, a virtual content source for binge watching a program series. The media guidance application may determine a program series a user is currently watching. The media guidance application may receive a user selection of a media asset. The media guidance application may determine a length of time between a current time and a start time of the media asset. The media guidance application may determine the next episodes of the program series the user can watch before the start time of the media asset and present them using a virtual content source.

Abstract: An example memory sub-system includes a memory device and a processing device, operatively coupled to the memory device. The processing device is configured to initialize a block family associated with a memory device; initialize a timeout associated with the block family; initializing a low temperature and a high temperature using a reference temperature at the memory device; responsive to programming a block residing on the memory device, associate the block with the block family; and responsive to at least one of: detecting expiration of the timeout or determining that a difference between the high temperature and the low temperature is greater than or equal to a specified threshold temperature value, close the block family.