Abstract: A base station, a wireless device and methods therein for supporting radio communication, wherein the base station employs carrier aggregation with multiple carriers serving a primary cell, PCell, and at least one secondary cell, SCell. The base station signals (3:3) an SCell status to the wireless device, the SCell status indicating whether the at least one SCell will be in active state where the base station transmits downlink signals on a carrier serving the at least one SCell, or in inactive state where the base station does not transmit downlink signals on the carrier serving the at least one SCell. Thereby, the wireless device can adapt its behaviour depending on the signalled SCell status, e.g. by turning off its receiver and not perform any signal measurements when the SCell is in inactive state.

Abstract: Embodiments described herein relate to electrochemical cells with dendrite prevention mechanisms. In some aspects, an electrochemical cell can include an anode disposed on an anode current collector, a cathode disposed on a cathode current collector, the cathode having a first thickness at a proximal end of the cathode and a second thickness at a distal end of the cathode, the second thickness greater than the first thickness, a first separator disposed on the anode, a second separator disposed on the cathode, an interlayer disposed between the first separator and the second separator, the interlayer including electroactive material and having a proximal end and a distal end, and a power source electrically connected to the proximal end of the cathode and the proximal end of the interlayer, the power source configured to maintain a voltage difference between the cathode and the interlayer below a threshold value.

Abstract: Systems, methods, and software can be used to determine whether to re-label a labeled data. In some aspects, a method includes: obtaining, by an electronic device, a set of labeled data, wherein each of the labeled data comprises a feature vector and a label; for each labeled data in the set of the labeled data: processing the labeled data to obtain a plurality of classification results by using a plurality of machine learning models, wherein each of the plurality of classification results is obtained by using a different machine learning model in the plurality of machine learning models to process the feature vector of the labeled data; and determining a label uncertainty score of the labeled data based on a difference between an average entropy score and an adjustment score; and determining, whether to re-label one or more labeled data in the set of labeled data based on the label uncertainty scores.

Abstract: In an example embodiment, machine learning is utilized to make recommendations for next actions by users of an online network. These next actions are called “next best actions.” The machine learning may be performed to train a multitask deep machine learning model to make recommendations based on a series of inputs, including, for example, contextual information that relies upon action sequences of the user and historical users, and user intent. The use of a multitask deep machine learning model allows for the model to generate action recommendations that are personalized, contextual, and coordinate across various different aspects of the online network, rather than being limited to only a single aspect. Likewise, the multi-task deep machine learning model can also be tailored to optimized different use-case specific objectives while at the same time being easy to scale and maintain.

Abstract: Embodiments include methods for a user equipment (UE) configured to operate in a radio access network (RAN). Such methods include receiving, from a radio node in the RAN, a new feedback indicator (NFI) that indicates whether acknowledgement signaling previously scheduled for transmission by the UE was received by the radio node. The acknowledgement signaling is associated with one or more first downlink (DL) hybrid ARQ (HARQ) processes. Such methods include, when the NFI indicates the acknowledgement signaling was not received by the RAN node, selecting a first HARQ codebook to be used for encoding the acknowledgement signaling together with further acknowledgement signaling associated with one or more second DL HARQ processes. Such methods include, using the selected first HARQ codebook, encoding the acknowledgement signaling and the further acknowledgement signaling to obtain first encoded information and transmitting the first encoded information to the radio node via an uplink (UL) channel.

Abstract: A method for providing access to objects associated with a particular client in a cloud storage system is disclosed. The method includes the steps of establishing a connection with a user, providing a client namespace associated with the client to the user, where the client namespace represents objects stored on the cloud storage system and objects stored on a private storage system apart from the cloud storage system, receiving a request from the user to access an object stored on the private storage system, and providing information to the user to facilitate access to the object stored on the private storage system by said user. Other systems and methods are also disclosed. Important advantages of the present invention are facilitated by separating the logic for user access (control plane) from the actual storage (Storage plane). Private file system access can still be managed from the cloud, while keeping the client data private.

Abstract: This disclosure describes systems, methods, and devices related to enhanced bandwidth selection for wireless devices. A device may generate a request frame with at least one of a first indication of a bandwidth for which a second device is to measure a first noise level or a second indication of a resource unit for which the second device is to measure a second noise level. The device may send the request frame to the second device. The device may identify a response frame received from the second device, the response frame having a third indication of the first noise level or the second noise level and a fourth indication of the bandwidth or the resource unit. The device may determine, based on the first noise level or the second noise level, a parameter associated with a subsequent frame to send to the second device.

Abstract: A method comprises receiving, at a host, a request to set new service configuration information for a target service in a distributed computing environment; retrieving a current revision identifier of a current revision of service configuration information for the target service from a revision index key in a local replica of a configuration store, the revision index key storing one or more key-value pairs, a key in a specific key-value pair identifying the target service; assigning a new revision identifier based on the current revision identifier; writing the new service configuration information into a new revision of the service configuration information in the local replica; updating the revision index key in an atomic compare-and-swap operation, the compare comprising verifying that the current revision identifier in the revision index key has remained the same since the retrieving, the swap comprising updating the specific key-value pair with the new revision identifier.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for encoding video comprising a sequence of video frames. In one aspect, a method comprises for one or more of the video frames: obtaining a feature embedding for the video frame; processing the feature embedding using a rate control machine learning model to generate a respective score for each of multiple quantization parameter values; selecting a quantization parameter value using the scores; determining a cumulative amount of data required to represent: (i) an encoded representation of the video frame and (ii) encoded representations of each preceding video frame; determining, based on the cumulative amount of data, that a feedback control criterion for the video frame is satisfied; updating the selected quantization parameter value; and processing the video frame using an encoding model to generate the encoded representation of the video frame.

Abstract: A robotic device includes a flexible beam, a body coupled to a first end of the flexible beam, and a foot coupled to a second end of the flexible beam. The flexible beam defines a longitudinal axis along the length of the flexible beam from the first end to the second end. The longitudinal axis is perpendicular to a first axis along a width of the first end and a second axis along a width of the second end, and a twist angle of the flexible beam is defined by an angle between the first axis and the second axis in a plane perpendicular to the longitudinal axis. Vibrating the flexible beam includes subjecting a first end of the flexible beam to a linear vibratory input at a selected input frequency, thereby generating a repeating, semicircular trajectory at a second end of the flexible beam.

Abstract: The disclosed and claimed subject matter relates to a capacitor having an interlayer comprising a strontium oxide material. The interlayer is formed adjacent to the dielectric layer. The interlayer is incorporated in a capacitor stack and is preferably deposited using atomic layer deposition.

Abstract: Systems and methods are provided for sample processing. A device may be provided, capable of receiving the sample, and performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing multiple assays. The device may comprise one or more modules that may be capable of performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing the steps using a small volume of sample.

Abstract: In some examples, an electronic device comprises a processor and a power circuit coupled to the processor. The power circuit is to provide power to the processor and to measure a current drawn from the power circuit by the processor. The electronic device also comprises a voltage regulator controller coupled to the processor and the power circuit. The voltage regulator controller is to receive a current usage prediction from the processor, receive the measurement from the power circuit, compare the current usage prediction and the measurement, and, based on the comparison, drive the power circuit in accordance with the measurement instead of the current usage prediction.

Abstract: An information processing apparatus includes an audio information obtaining unit obtaining audio information on a user learning a first language, an analysis processing unit estimating a voice production condition of the user in accordance with analyzing the audio information, and a display processing unit displaying voice production condition images in animated display in accordance with a time-series change of the voice production condition. The display processing unit executes processing to superimpose to display a first feature point and a second feature point on the voice production condition images. The first feature point is identified in accordance with the voice production condition observed when a first sound in the first language is pronounced. The second feature point is identified in accordance with the voice production condition observed when a second sound similar to the first sound is pronounced in a second language different from the first language.

Abstract: A method of controlling headphones having external microphone signal pass-through functionality may involve controlling a display to present a geometric shape on the display and receiving an indication of digit motion from a sensor system associated with the display. The sensor system may include a touch sensor system or a gesture sensor system. The indication may be an indication of a direction of digit motion relative to the display. The method may involve controlling the display to present a sequence of images indicating that the geometric shape either enlarges or contracts, depending on the direction of digit motion and changing a headphone transparency setting according to a current size of the geometric shape. The headphone transparency setting may correspond to an external microphone signal gain setting and/or a media signal gain setting of the headphones.

Abstract: Described herein are systems, methods, and instrumentalities associated with processing complex-valued MRI data using a machine learning (ML) model. The ML model may be learned based on synthetically generated MRI training data and by applying one or more meta-learning techniques. The MRI training data may be generated by adding phase information to real-valued MRI data and/or by converting single-coil MRI data into multi-coil MRI data based on coil sensitivity maps. The meta-learning process may include using portions of the training data to conduct a first round of learning to determine updated model parameters and using remaining portions of the training data to test the updated model parameters. Losses associated with the testing may then be determined and used to refine the model parameters. The ML model learned using these techniques may be adopted for a variety of tasks including, for example, MRI image reconstruction and/or de-noising.

Abstract: According to some embodiments, a method in a network node comprises: determining that uplink control information, UCI, and a data payload will be sent via a physical uplink shared channel on a slot/subslot transmission; determining a modulation coding scheme, MCS, offset for transmission of the UCI via the physical uplink shared channel; and communicating the MCS offset to a wireless device. According to some embodiments, a method in a wireless device comprises: determining that UCI and a data payload will be sent via a physical uplink shared channel on a slot/subslot transmission; receiving a MCS offset for transmission of the UCI via the physical uplink shared channel; and communicating, to a network node, the UCI using the MCS offset. The UCI and the data payload may be sent via the physical uplink shared channel with a slot/subslot transmission or a short transmission time interval (sTTI).

Abstract: Compositions, systems, and methods are disclosed for preparing and utilizing arrays, such as single-analyte arrays containing a plurality of fiducial elements with random spatial distributions. Arrays may be prepared with pluralities of fiducial elements comprising optically active or passive moieties. Arrays containing random spatial distributions of fiducial elements may be utilized for various array-based processes that require spatial information.

Abstract: The present invention is directed to methods for collecting and processing autografts, processed autografts, kits for collecting and transporting autografts, and tools for preparing autografts. It is also directed to autologous bone grafts, and methods of preparing them.

Abstract: A rapid and automatic virus imaging and analysis system includes (i) electron optical sub-systems (EOSs), each of which has a large field of view (FOV) and is capable of instant magnification switching for rapidly scanning a virus sample; (ii) sample management sub-systems (SMSs), each of which automatically loads virus samples into one of the EOSs for virus sample scanning and then unloads the virus samples from the EOS after the virus sample scanning is completed; (iii) virus detection and classification sub-systems (VDCSs), each of which automatically detects and classifies a virus based on images from the EOS virus sample scanning; and (iv) a cloud-based collaboration sub-system for analyzing the virus sample scanning images, storing images from the EOS virus sample scanning, and storing and analyzing machine data associated with the EOSs, the SMSs, and the VDCSs.