Abstract: A system to compare erythemal zones includes a multispectral camera to acquire a multispectral image of each compared zone and a computer processing device to retrieve the images acquired by the multispectral camera. The computer processing device includes a memory, a display, an input device and a microprocessor. The system further includes an image processing program configured to perform spectral de-mixing of the acquired images and isolating the erythemal component of the images, and a program to compare the images based on the intensity of the erythemal components of each image.

Abstract: An innovative passive cooling solution with sealed UAV enclosure system allows heat from a semiconductor chip to be dissipated to the ambient environment through evaporation/condensation phase-change cooling and air cooling a heat sink such as a fin without any additional power consumption to operate cooling solution. One example of such a solution may include a pipe with a fin and a fluid. The pipe may include a wick structure along an inner surface of the pipe configured to allow the fluid to travel within the wick structure and to allow a vapor form of the fluid to exit the wick structure towards a center of the pipe.

Abstract: An acousto-optic deflector includes an optical element having a surface with one or more steps formed thereon; a conductive layer formed on the surface with the steps; one or more crystals secured to each step; and electrodes positioned on each surface of each crystal.

Abstract: A multi-layer textile includes fabric tiles bonded to a base textile layer. The fabric tiles might be cut from one or more larger fabric pieces, which are textile remnants or scraps from prior manufacturing processes. The fabric tiles are bonded to the base textile layer in a manner that reduces the susceptibility of the fabric tiles to peel away from the base textile layer.

Abstract: An audio output method and a system including first and second electronic devices and an audio output device. The first and second devices are connected to a network using a system authentication account, the first device has installed thereon a music application, and the second device has installed thereon a voice call application. When the audio output device outputs an audio signal corresponding to audio data of the music application, in response to the second electronic receiving an incoming call from the voice call application, the first device displays a first prompt corresponding to the incoming call. The first device sends an indication of answering the incoming call to the second device, which answers the incoming call and sends audio data of the incoming call to the first device, and the first device causes the audio output device to output an audio signal corresponding to the audio data of the incoming call.

Abstract: This invention relates generally to speech processing and more particularly to end-to-end automatic speech recognition (ASR) that utilizes long contextual information. Some embodiments of the invention provide a system and a method for end-to-end ASR suitable for recognizing long audio recordings such as lecture and conversational speeches. This disclosure includes a Transformer-based ASR system that utilizes contextual information, wherein the Transformer accepts multiple utterances at the same time and predicts transcript for the last utterance. This is repeated in a sliding-window fashion with one-utterance shifts to recognize the entire recording. In addition, some embodiments of the present invention may use acoustic and/or text features obtained from only the previous utterances spoken by the same speaker as the last utterance when the long audio recording includes multiple speakers.

Abstract: A system for detecting bioelectrical signals of a user comprising: a set of sensors configured to detect bioelectrical signals from the user, each sensor in the set of sensors configured to provide non-polarizable contact at the body of the user; an electronics subsystem comprising a power module configured to distribute power to the system and a signal processing module configured to receive signals from the set of sensors; a set of sensor interfaces coupling the set of sensors to the electronics subsystem and configured to facilitate noise isolation within the system; and a housing coupled to the electronics subsystem, wherein the housing facilitates coupling of the system to a head region of the user.

Abstract: Provided are new bifunctional chelators for use in the manufacture of radiolabeled targeting agents for therapeutic or diagnostic use. Also provided are conjugates of the new bifunctional chelators with various cancer antigen targeting agents.

Abstract: A test fixture, for a heatsink, may include a probe assembly with a thermocouple probe configured to removably contact a bottom surface of a pedestal of the heatsink, and measure a surface temperature of the heatsink. The test fixture may include an insulator housing configured to house the probe assembly and a heater block, and to insulate the probe assembly from the heater block. The heater block may be provided within the insulator housing and may be configured to provide heat to the heatsink via the bottom surface of the pedestal of the heatsink. The test fixture may include a mounting block connected to the insulator housing and configured to connect to the heatsink.

Abstract: Automated vehicle battery health optimization (e.g., using a computerized tool) is enabled. For example, a system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise: a battery health component that, using a defined battery health algorithm and a battery sensor, determines degradation of a battery of a vehicle, and an execution component that, based on the degradation of the battery and a traveling direction of a user of the vehicle, external to the vehicle, facilitates an action determined to mitigate further degradation of the battery.

Abstract: Systems and methods described herein intelligently multiplex different types of traffic in a fixed wireless access (FWA) environment by communicating with the user/application directly so that the network capacity can be maximized for different types of traffic. A routing device in a customer premises network receives a routing policy and receives an indication of network congestion conditions. The routing device identifies one or more sources of delay-tolerant traffic in the customer premises network, such as a local area network (LAN), and applies the routing policy to delay data transmissions from the source based on identifying the indication of network congestion conditions.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: Certain aspects involve a machine-learning query system that uses a dual deep learning network to service queries and other requests. In one example, a machine-learning query system services a query received from a client computing system. A dual deep learning network included in the machine-learning query system matches an unstructured input data object, received from the client computing system, to an unstructured reference data object. The matching may include generating an input feature vector by an embedding subnetwork, based on the unstructured input data object. The matching may also include generating an output probability by a relationship subnetwork, based on the input feature vector and a relationship feature vector that is based on the unstructured reference data object. The machine-learning query system may transmit a responsive message to the client system.

Abstract: This invention provides methods and systems for enhancement of protein production from mammalian cell lines in a drug inducible manner. The methods described herein can be used to generate a protein production cell line wherein the gene coding the protein product of interest is inserted into specific safe harbor loci (SHL) within the cell's genome and the gene copy number is induced to amplify by the use of an antibiotic inducer. The method enables for the conditional activation of the drug inducible transposase. The drug inducible gene amplification method described herein effectively functions as a molecular dial: combining drug-inducible homologous recombination and conditional gene activation to fine-tune gene amplification in mammalian systems.

Abstract: A method for wireless communication performed by a user equipment (UE) includes receiving, from a base station, a first indication to disable hybrid automatic repeat request (HARQ) feedback for a number of instances of a multicast transport block (TB). The method also includes receiving, from the base station, a second indication identifying a value of the number of instances of the multicast TB. The method further includes receiving, from the base station, one or more instances of the multicast TB. The method still further includes determining, based on the one or more received instances, whether the multicast TB is recoverable. The method further includes selectively transmitting, to the base station, HARQ feedback after all instances of the multicast TB have been transmitted by the base station based on the determination of whether the multicast TB is recoverable.

Abstract: One or more embodiments described herein can facilitate electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle from another electric vehicle, based at least in part on state of charge and/or state of health monitoring at one or more of the cell-level or pack-level. An exemplary method can comprise monitoring, by a system operatively coupled to a processor, cell states of a plurality of battery cells of a vehicle system, identifying, by the system, based on the cell states, a subset of the plurality of battery cells that is beyond a threshold for remediation, and continuing to use, by the system, the subset of the plurality of battery cells such that the subset of the plurality of battery cells degrades towards end of life of the subset of the plurality of battery cells.

Abstract: The present disclosure generally relates to a two dimensional magnetic recording (TDMR) spin-orbit torque (SOT) read head comprising bismuth antimony (BiSb) layers. The read head comprises a lower reader comprising a first SOT stack and an upper reader comprising a second SOT stack. The first SOT stack and the second SOT stack each individually comprise a BiSb layer recessed from a media facing surface (MFS) and a free layer exposed at the MFS. The BiSb layers of each SOT stack are recessed from the MFS a distance of about 5 nm to about 20 nm, the distance being less than a length of the free layers. In one embodiment, the lower reader and the upper reader share a current path. In another embodiment, the lower reader and the upper reader have separate current paths.