Abstract: A method is provided for beam tracking in a user equipment (UE), the UE configured to communicate using mmWave in a 5G New Radio (NR) network, the method includes selecting a first beam among a plurality of beams based on a predicted reference signal, perform adaptive filtering on the first beam, and tracking statistical variations in the first beam based on the adaptive filtering.

Abstract: Various embodiments relate to a transport slice controller, including: at least one processor; and at least one memory storing instructions, that when executed by the at least one processor, cause the apparatus at least to: initialize a transport slice activation and deactivation protocol (TS-ADCP) session for a transport slice of a telecommunications network; determine an indication of the login status of users of the transport slice, wherein the login status includes an indication that a first user has logged in to the transport slice or that a last user has logged out of the transport slice; and sending a message with the indication of the login status of users to a network element to indicate that the transport slice should be activated or deactivated.

Abstract: A robotic sorting system, method, and device is disclosed. The robotic sorting system includes a communication interface, and one or more processors coupled to the communication interface. The one or more processors are configured to (a) obtain item data via the communication interface, the item data including an indication of one or more items to be routed across a plurality of outbound stations, (b) obtain capability data for the plurality of outbound stations, the capability data indicating one or more capabilities for at least one outbound station, (c) determine a plan to route a selected item to a destination outbound station selected from among the plurality of outbound station, the plan being determined based at least in part on the item data and the capability data for the destination outbound station, and (d) cause the plan to be implemented to route the item to a particular handling path associated with the destination outbound station.

Abstract: The present invention discloses a therapeutic composition comprising fusion protein with reduced heterogeneity in the glycosylation profile of the protein and methods thereof. More particularly the invention provides the composition with reduced heterogeneity in the glycosylation profile. By reducing heterogeneity, the resultant preparation is expected to exhibit superior, consistent results in terms of safety, purity and potency. The invention is of particular importance as it can form the part of the critical quality attributes (CQA) that help in ensuring batch-to-batch consistency and predicted shelf-life of complex protein molecules.

Abstract: According to some embodiments, a software defined wide area network (SD-WAN) includes a first region and a second region. The first region includes multiple first routing controllers and multiple first SD-WAN edge routers. The second region includes multiple second routing controllers and multiple second SD-WAN edge routers. Each first SD-WAN edge router of the first region is configured to establish Overlay Management Protocol (OMP) peering connections with the plurality of first routing controllers of the first region but to avoid establishing OMP peering connections with the plurality of second routing controllers of the second region. Each second SD-WAN edge router of the second region is configured to establish OMP peering connections with the plurality of second routing controllers of the second region but to avoid establishing OMP peering connections with the plurality of first routing controllers of the first region.

Abstract: Systems and methods provide for managing faulting network devices. A first network device can receive an error. The first network device can generate one or more frames including data indicative of the error. The first network device can broadcast the one or more frames to one or more neighboring network devices. It may be determined that the first network device is inaccessible. The first data can be retrieved and presented from a second network device among the one or more neighboring network devices. In some embodiments, a network management system can utilize the first data to generate a machine learning model that classifies whether network devices are instances of network devices designated for a Return Merchandise Authorization (RMA) process. In some embodiments, the network management system can apply the first data to a machine learning classifier to determine whether to initiate the RMA process for the first network device.

Abstract: Systems and methods are directed to predicting temporal startup measurements using a machine-trained model. The system determines a training dataset of features associated with different funding, exit, and closure events and corresponding times of the funding, exit, and closure events from historical financial data. A temporal prediction model is trained using the training dataset. The temporal prediction model can comprise a recurrent neural network (e.g., gated recurrent unit). During runtime, the system accesses new data associated with potential future investment opportunities with startups and determines (e.g., compute) company features based, in part, on the new data. The system applies the company features to the temporal prediction model to simultaneously predict a next event and a time of the next event for each startup. A user interface can then be presented that shows the predicted next event and the predicted time of the predicted next event for each startup.

Abstract: The invention provides a process for preparing core-shell composite particles comprising a polyester, polymerized ethylenically unsaturated silane compounds, and optionally a hydrophobic surface treatment. The invention further provides a composite particle comprising a polyester and a radically polymerized ethylenically unsaturated silane compound.

Abstract: Systems and methods include a computer-implemented method for optimizing variogram ranges uncertainties. Variogram modeling is performed using variogram models on wells in parallel (major), normal (minor), and vertical directions for continuous log porosity to select a best-fit variogram model using large uncertainty ranges and a preferred-normal distribution. A distribution of geological properties is determined onto the best-fit variogram model. Multiple realizations are executed to determine predicted porosities over the best-fit variogram model. Correlation coefficients of actual porosity versus predicted porosity are generated using the multiple realizations. The process is repeated until a correlation meets a predetermined acceptance criteria. A variogram range for the best-fit variogram model is optimized using a high correlation realization. Correlations are determined for the subset of wells by executing multiple realizations using a same seed number.

Abstract: In an embodiment, a method for optimum Receiver (Rx) beam selection in NR is disclosed. The method includes, performing a Reference Signal Received Power (RSRP) measurement for one or more Rx beams during an idle period as a part of an initial synchronization procedure. The method includes determining an optimum Rx beam amongst the one or more Rx beams with a RSRP peak greater than RSRP peak associated with other Rx beams amongst the one or more Rx beams by a pre-defined offset as a part of a beam-sweep operation. The method further includes pairing the optimum Rx beam with a Transmitter (Tx) beam for a Synchronization Signal Block (SSB) detection in a first half-frame of the SSB Burst upon elapse of the idle period.

Abstract: A fluid catalytic cracking process for p-cresol dimer to produce valuable phenolic monomers, i.e., 2-methyl phenol, 4-methyl phenol, 2,3-xylenol, and phenol, uses an equilibrium catalyst (E-cat) generated in the petroleum fluid catalytic cracking (FCC) unit. The p-cresol dimer can be processed under relatively mild conditions, while maximizing desired and minimizing undesired products.

Abstract: Systems and methods provide for managing faulting network devices. A first network device can receive an error. The first network device can generate one or more frames including data indicative of the error. The first network device can broadcast the one or more frames to one or more neighboring network devices. It may be determined that the first network device is inaccessible. The first data can be retrieved and presented from a second network device among the one or more neighboring network devices. In some embodiments, a network management system can utilize the first data to generate a machine learning model that classifies whether network devices are instances of network devices designated for a Return Merchandise Authorization (RMA) process. In some embodiments, the network management system can apply the first data to a machine learning classifier to determine whether to initiate the RMA process for the first network device.

Abstract: Methods and systems for managing decoding of control channel on a multi-SIM UE. A method includes receiving, by the UE, the plurality of control channels from at least one Base Station (BS), the plurality of control channels corresponding to a plurality of Subscriber Identity Modules (SIMs), selecting, by the UE, a respective decoder for each of the plurality of SIMS, and decoding, by the UE, each respective control channel among the plurality of control channels using the respective decoder for a respective SIM among the plurality of SIMS, the respective SIM corresponding to the respective control channel.

Abstract: A method for constructing Polarization Assisted Convolutional (PAC) codes, the method including passing a codeword through a noisy channel to obtain a first bit and a noise value, determining whether the first bit is an information bit or a non-information bit based on the noise value by decoding the codeword to obtain a decoded codeword, selecting at least one of a reward or a penalty for the first bit based on the decoded codeword, the reward being set based on a probability of decoding, and the selecting selects the penalty for the first bit in response to determining the first bit is incorrectly decoded, and iterating the passing, the determining and the selecting according to Q-values for each state among a plurality of states, at least one of the Q-values corresponding to the first bit.

Abstract: A novel transgene for use to produce a coronavirus vaccine is provided. The transgene encodes: i) an RNA polymerase promoter; ii) a 5? UTR; iii) a secretory sequence; iv) a coronavirus spike protein component, wherein the spike protein component incorporates a variant sequence at amino acid position 614 of a native spike protein; and v) a 3? UTR and poly A sequence. A vaccine is also provided comprising the transgene or an mRNA transcript thereof.

Abstract: Systems and methods provide for managing faulting network devices. A first network device can receive an error. The first network device can generate one or more frames including data indicative of the error. The first network device can broadcast the one or more frames to one or more neighboring network devices. It may be determined that the first network device is inaccessible. The first data can be retrieved and presented from a second network device among the one or more neighboring network devices. In some embodiments, a network management system can utilize the first data to generate a machine learning model that classifies whether network devices are instances of network devices designated for a Return Merchandise Authorization (RMA) process. In some embodiments, the network management system can apply the first data to a machine learning classifier to determine whether to initiate the RMA process for the first network device.

Abstract: Methods and systems for managing decoding of control channel on a multi-SIM UE. A method includes receiving, by the UE, the plurality of control channels from at least one Base Station (BS), the plurality of control channels corresponding to a plurality of Subscriber Identity Modules (SIMs), selecting, by the UE, a respective decoder for each of the plurality of SIMs, and decoding, by the UE, each respective control channel among the plurality of control channels using the respective decoder for a respective SIM among the plurality of SIMs, the respective SIM corresponding to the respective control channel.

Abstract: A method for load balancing in a multi-core processor of an electronic device, the method including dividing, by the electronic device, a first task and at least one second task into a plurality of task-jobs, determining, by the electronic device, at least one core configuration for each of the plurality of task-jobs, scheduling, by the electronic device, each of the plurality of task-jobs on at least one core of the multi-core processor based on the at least one core configuration to generate an execution schedule, and executing, by the multi-core processor, the plurality of task-jobs according to the execution schedule.

Abstract: A method is provided for beam tracking in a user equipment (UE), the UE configured to communicate using mmWave in a 5G New Radio (NR) network, the method includes selecting a first beam among a plurality of beams based on a predicted reference signal, perform adaptive filtering on the first beam, and tracking statistical variations in the first beam based on the adaptive filtering.

Abstract: In an embodiment, a method for optimum Receiver (Rx) beam selection in NR is disclosed. The method includes, performing a Reference Signal Received Power (RSRP) measurement for one or more Rx beams during an idle period as a part of an initial synchronization procedure. The method includes determining an optimum Rx beam amongst the one or more Rx beams with a RSRP peak greater than RSRP peak associated with other Rx beams amongst the one or more Rx beams by a pre-defined offset as a part of a beam-sweep operation. The method further includes pairing the optimum Rx beam with a Transmitter (Tx) beam for a Synchronization Signal Block (SSB) detection in a first half-frame of the SSB Burst upon elapse of the idle period.