Abstract: Certain aspects of the present disclosure provide techniques for performing cross-node machine learning operations in a radio access network. An example method of wireless communication by a first network entity includes providing, to a second network entity, an indication of cross-node machine learning information used for a cross-node machine learning session between the first network entity and a user equipment (UE); obtaining machine learning information associated with the UE; and controlling the cross-node machine learning session based at least in part on the machine learning information.

Abstract: One aspect of the present invention relates to double-stranded RNA (dsRNA) agent capable of inhibiting the expression of a target gene. The antisense strand of the dsRNA molecule comprises at least one thermally destabilizing nucleotide occurring at a seed region; the dsRNA comprises at least four 2?-fluoro modifications, and the sense strand of the dsRNA molecule comprises ligand, wherein the ligand is an ASGPR ligand. Other aspects of the invention relate to pharmaceutical compositions comprising these dsRNA molecules suitable for therapeutic use, and methods of inhibiting the expression of a target gene by administering these dsRNA molecules, e.g., for the treatment of various disease conditions.

Abstract: Provided herein are compositions, methods of making the same, and methods for targeted delivery of therapeutic agents for modifying expression and function of target genes, e.g. proteins involved in lipid and cholesterol metabolism such as PCSK9. Further provided herein are compositions and methods of treating conditions related to coronary disease.

Abstract: Systems, methods, and at least one seal pocket detection assembly configured to be placed within a pressure cavity of a well tubing system. The seal pocket detection assembly includes a selectively removable insert body supporting one or more seals and one or more coils that produce an electromagnetic field extending into the bore of tubing sections of the well tubing system. The seal pocket detection assembly is configured to detect a ferrous object passing through the bore.

Abstract: The technology is generally directed to reordering packets received by a network to reduce the unfairness in transmitting and receiving data. The packets may be reordered based on a timestamp appended to the packet. The timestamp may correspond to a time when the sender loses control of the packet and the receiving network gains control. A packet reorder structure may receive the packets with the appended timestamps during a sample interval. The packet reorder structure may compare the timestamp to a time interval for a plurality of timeslots. The packets may be reordered based on the timeslot the packet is allocated to. In some examples, the duration of the timeslot may be dynamically adjusted such that the number of out of order packets received during the sample interval corresponds to a threshold.

Abstract: A substrate cleaning device includes a double-sided scrubber that directs a liquid to a substrate as it moves back-and-forth between a pair of rotating brushes. The device may also include a first set of nozzles and a second set of nozzles. The first set of nozzles may be configured to spray a first liquid at an interface between the substrate and rotating brushes and the second set of nozzles may be configured to spray a second liquid at the interface as the substrate moves back-and-forth between the pair of rotating brushes.

Abstract: An example device comprising: first clock divider circuitry to be coupled to a first clock; first counter circuitry configured to be coupled to the first clock divider circuitry, the first counter circuitry configured to increment based on the first clock and a second clock; second clock divider circuitry to be coupled to a third clock; second counter circuitry configured to be coupled to the second clock divider circuitry, the second counter circuitry configured to increment based on the third clock and the second clock; and comparison circuitry coupled to the first and second counter circuitry.

Abstract: The described embodiments set forth techniques for testing a wireless device configured to use an embedded Universal Integrated Circuit Card (eUICC) and excluding a removable UICC card. A test apparatus processes application protocol data units (APDUs) for conformance with a standardized test specification, where the APDUs are provided by an eSIM command handler client application that interfaces with a baseband processor in communication with the eUICC that includes test profiles with test applets.

Abstract: A method of fabricating a device comprises forming a multi-layer stack above a first substrate, where multi-layer stack includes a non-linear polar material. In at least one embodiment, method further includes forming a first conductive layer on multi-layer stack and annealing multi-layer stack. A transistor is formed above a second substrate. In at least one embodiment, method also includes forming a second conductive layer above electrode structure and bonding first conductive layer with second conductive layer. After bonding, method includes removing at least a portion of first substrate patterning multi-layer stack to form a memory device.

Abstract: Described is a packaging technology to improve performance of an AI processing system. An IC package is provided which comprises: a substrate; a first die on the substrate, and a second die stacked over the first die. The first die includes memory and the second die includes computational logic. The first die comprises a ferroelectric RAM (FeRAM) having bit-cells. Each bit-cell comprises an access transistor and a capacitor including ferroelectric material. The access transistor is coupled to the ferroelectric material. The FeRAM can be FeDRAM or FeSRAM. The memory of the first die may store input data and weight factors. The computational logic of the second die is coupled to the memory of the first die. The second die is an inference die that applies fixed weights for a trained model to an input data to generate an output. In one example, the second die is a training die that enables learning of the weights.

Abstract: This Application sets forth techniques for profile, e.g., subscriber identity module (SIM) and electronic SIM (eSIM), and cellular wireless service subscription management for a wireless device. The wireless device can support multiple profiles, such as dual SIMS or a single SIM and one or more eSIMs. A user of the wireless device can flexibly enable and disable various eSIMs or change the use of physical SIMs with different associated cellular wireless service subscriptions, and mapping of subscription modules to logical channels and physical hardware interfaces can occur automatically, with mechanisms to reset interfaces when required.

Abstract: In one embodiment, network node-to-node connectivity verification is performed in a network including data path processing of packets within a packet switching device. In one embodiment, an echo request connectivity test packet, emulating an echo request connectivity test packet received from a first connected network node, is inserted by the packet switching device prior in its data processing path prior to ingress processing performed for packets received from the first connected network node. A correspondingly received echo reply connectivity test packet is intercepted by the packet switching device during data path egress processing performed for packets to be forwarded to the first connected network node.

Abstract: A method for reducing uneven wear of a thumbstick of a controller, the thumbstick being rotatably held within a socket of a housing of the controller, and the method comprising: pivoting a thumbstick of a controller within a socket of a housing of the controller; and rotating the thumbstick within the socket and around a pivoted central axis of the thumbstick.

Abstract: Certain aspects of the present disclosure provide techniques for techniques for machine learning (ML)-based user equipment (UE) mobility. A method generally includes transmitting a handover request associated with handing over a UE from a first cell associated with an apparatus to a second cell associated with a first target network node, the handover request comprising an identifier (ID) of the apparatus and predicted information associated with the UE, the predicted information generated by a ML model; and receiving an information update message comprising: feedback information comprising feedback on the predicted information, the feedback information associated with refining the ML model, and a first persistent ID assigned to the UE, wherein the first persistent ID remains invariant across different radio resource control (RRC) modes of the UE, wherein the different RRC modes comprise an idle mode, an inactive mode, and a connected mode.

Abstract: A structural member for a battery cell may be provided in the form of an I-beam having a central support structure that extends through the middle of the battery cell. One or more electrode stacks may be provided within one or more cavities defined by the structural member. The structural member may provide mechanical, structural, and/or thermal benefits for the battery cell and/or one or more battery sub-assemblies, battery modules, and/or battery packs. A battery cell includes a contoured housing with curved lateral surfaces conforming to a shape of one or more wound electrode layers. When the wound electrode layers are inserted into the contoured housing, space between the electrode layers and the contoured housing is reduced, as compared to that of square or rectangular housings, leading to higher wetting rate and lower wetting times of the wound electrode layers, higher structural loading, wider tolerances, and/or flexible cooling strategies.

Abstract: An entertainment device, method and computer program, the entertainment device includes processing circuitry to process a game state of a game and to generate, based on a plurality of game assets, an image of a scene, and output circuitry to output the image for display. The processing circuitry is configured to determine, based on the plurality of game assets, whether the scene includes at least one character communicating using sign language, to adjust the generation of the image in dependence on whether the scene comprises the at least one character communicating using sign language.

Abstract: Provided herein are compositions and methods for preparation of 5? end region-modified mRNAs. In particular, the instant disclosure relates to novel mRNA 5? end region motifs and sequence initiators therefore together with assays that are capable of measuring the aspects of the functionality of those motifs and sequence initiators. Further provided herein are compositions and methods of treating conditions related to coronary disease.

Abstract: A Circadian Rhythm Monitoring and Regulation (CMR) system and method that includes: a novel non-obtrusive wearable system for increasing the health and productivity of warfighters or other individuals that are disrupted by excessive, abnormal shifts in work or flights across multiple time zones. The CMR system is based on advanced sensor and software technology and models of human circadian system phototransduction and a circadian stimulator oscillator developed by applicants. It measures circadian misalignment and provides lighting suggestions for circadian rhythm maintenance and realignment.

Abstract: Methods and apparatus for autoconfiguring microslices in enterprise wireless communication networks using a microslice knowledgebase in a remotely located orchestration platform. Microslices are independent end-to-end logical networks operating on a shared physical infrastructure, which ensure certain Quality of Service (QoS) and Service Level Objective (SLO) requirements are met for different service types or applications. Any of the enterprise networks may be a Citizen's Broadband Radio Service (CBRS) system. A microslice knowledgebase unit in the orchestration platform configures microslices for the enterprise networks based upon communication requirements of applications, devices, and groups of devices such as service type, bandwidth requirements, using machine learning and artificial intelligence to learn communication requirements of each enterprise deployment.