Abstract: Certain aspects of the present disclosure provide techniques for uplink transport protocol acknowledgment shaping and downlink data shaping at a user equipment. A method that may be performed by the UE generally includes determining an allowed number of transport protocol acknowledgments to transmit in a transmission time interval (TTI); and transmitting one or more transport protocol acknowledgments in the TTI based, at least in part, on the determined allowed number of transport protocol acknowledgments. Another method that may be performed by the UE generally includes determining an allowed number of downlink data units to transmit in a TTI; and transmitting one or more data units in the TTI based, at least in part, on the determined allowed number of data units.

Abstract: A manifest file from a container image for a cross-platform application that has been containerized for execution on a source platform specifies image layers for the cross-platform application within the container image and are ordered from a first image layer through a last image layer. The manifest file specifies exclusion/inclusion directories related to containerized execution of the cross-platform application on a target platform different than the source platform. Starting with the first image layer and ending at the last image layer, each image layer is unpacked at the target platform by copying files from the image layer to a directory at the target platform in accordance with the identified exclusion/inclusion directories. A version of the cross-platform application corresponding to the image layers as unpacked at the target platform is executed in a containerized manner.

Abstract: Some aspects of this disclosure are directed automated performance tuning of a hardware description language (HDL) simulation system. For example, some aspects of this disclosure relate to a method, including generating, by a first subsystem optimizer, a plurality of recommendations corresponding to a first subsystem of a hardware description language (HDL) simulation system. The plurality of recommendations are generated by the first subsystem optimizer using one or more optimization applications. The method further includes generating, by the first subsystem optimizer, a first aggregate recommendation by combining the plurality of recommendations corresponding to the first subsystem of the HDL simulation system. The method further includes updating a configuration of the first subsystem of the HDL simulation system based on the first aggregate recommendation, wherein the HDL simulation system is configured to simulate a circuit design using the updated configuration during execution of the first subsystem.

Abstract: A method and a system for using a graph neural network framework to implement a link prediction in a multiplex network environment is provided. The method includes: identifying a plurality of layers of a multiplex network, each respective layer including a respective plurality of nodes; for each node included in at least a first layer, providing, by a structural node label and determining a common embedding across all of the plurality of layers and an individual embedding for each individual layer; using a k-nearest approach to select a subset of the plurality of layers for performing link prediction with respect to each layer based on the determined embeddings; and performing a link prediction by determining a respective feed-forward network with respect to each layer included in the selected subset.

Abstract: A breathable barrier fabric that is heat sealable and minimizes lint generation without impacting the fabric's overall breathability, comfort and barrier protection, and that can be used to manufacture Helmke Category II or better cleanroom garments suitable for use in ISO Class 3 cleanroom environments and other hygienic applications. The breathable barrier fabric has a composite laminate structure including an inner monolithic film layer made from a breathable polymer bonded to first and second outer spunbond layers comprising thermoplastic bicomponent fibers each having an outer glazed surface where the thermoplastic bicomponent fibers are at least partially flattened.

Abstract: This disclosure provides systems, methods, and apparatus, including computer programs encoded on computer storage media, for establishing wireless connections between a first wireless communication device and a second wireless communication device. In some implementations, the first wireless communication device may establish a first connection with a second wireless communication device in accordance with a first communication protocol, perform a first channel scan of a first set of wireless channels responsive to establishing the first connection, the first channel scan being associated with a second wireless communication protocol, establish a second connection directly with the second wireless communication device in accordance with the second wireless communication protocol based on the first channel scan, and receive one or more data streams directly from the second wireless communication device in accordance with the second wireless communication protocol.

Abstract: Systems, methods, and non-transitory computer-readable media can determine respective engagement scores for one or more users based at least in part on their engagement with a plurality of content items associated with an entity in a content provider system. At least one user who is a top fan of the entity can be determined based at least in part on the determined engagement scores. The user can be associated with a visual badge in the content provider system to identify the user as a top fan of the entity, wherein the visual badge is made visible by the content provider system to at least the entity.

Abstract: Techniques for converting power received from a power grid at a first voltage and outputting a signal at a second voltage are discussed herein. A power converter with a transformer that has a 22.5 degrees phase shift between current output by corresponding pairs of secondary windings can be utilized to convert power of a first level to power of a second level. The transformer can output power from 30 secondary windings. The power converter can output power with a total harmonic distortion of 5% and an efficiency of 96% or higher. Further, power can be output by a transmission coil and received by a receive coil in a device, such as a vehicle, to wirelessly charge the vehicle.

Abstract: Techniques for converting power received from a power grid at a first voltage and outputting a signal at a second voltage are discussed herein. A power converter with a transformer that has a 22.5 degrees phase shift between current output by corresponding pairs of secondary windings can be utilized to convert power of a first level to power of a second level. The transformer can output power from 30 secondary windings. The power converter can output power with a total harmonic distortion of 5% and an efficiency of 96% or higher. Further, power can be output by a transmission coil and received by a receive coil in a device, such as a vehicle, to wirelessly charge the vehicle.

Abstract: An electronic system includes a mapping circuit configured to receive input samples of a dataset within a defined range of values. The mapping circuit is configured to perform comparisons that compare each input sample to each of a plurality of comparison values selected from the defined range of values. For each comparison, the mapping circuit generates an indication value specifying whether the input sample used in the comparison is greater than or equal to the comparison value used in the comparison. The system includes an adder circuit configured to generate a sum of the indication values for each comparison value and a memory configured to maintain counts corresponding to the comparison values. The counts are updated by the respective sums. The system includes a threshold detection circuit configured to determine, for the dataset, a threshold value or threshold range based on the counts read from the memory.

Abstract: A system and method of identifying suspicious item-related features are disclosed. In some embodiments, a new item listing is received. The item listing may correspond to a request to list an item for sale on an e-commerce website. Item-related data for the item listing may be extracted. The item-related data can be used by a model to classify the new item listing. The model may be trained on data comprising identifications of which item listings in the sample of item listings are suspicious and identifications of which item listings in the sample of item listings are not suspicious may be received.

Abstract: Systems and methods are provided to upload data from a vehicle to a network server. Vehicle data associated with the vehicle is collected and a determination of whether the vehicle data has a higher prioritization level or a lower prioritization is made. When the vehicle data is data having the higher prioritization level, upload of the vehicle data to the network server is facilitated. When the vehicle data is data having the lower prioritization level and an emergency state of the vehicle is active, upload of the vehicle data to the network server is facilitated.

Abstract: According to certain embodiments, a wearable device comprises a memory operable to store menus comprising menu options, and a processor operably coupled to a network interface and the memory. The processor is configured to present a first menu comprising a first menu option associated with a data processing transaction available at a current location, determine an updated location, obtain a second menu comprising a second menu option associated with a data processing transaction available at the updated location, and present the second menu. The processor is further configured to receive user input indicating a selection of the second menu option and facilitate the data processing transaction available at the updated location based on the selection.

Abstract: A poll of a first database is initiated (e.g., a SOT database). The poll of the first database is to identify if any transactions have occurred since a previous poll of the first database. Based on the poll of the first database, information is received that identifies one or more transaction identifiers. A missing transaction identifier is identified based on a contagious list of transaction identifiers. In response to identifying the missing transaction identifier, the missing transaction identifier is stored in a list of missing transaction identifiers for use in a later poll of the first database. By tracking the missing transaction identifier, the process can identify transactions that take longer to commit without introducing lag for transactions that commit quickly.

Abstract: A system (1) of hot plates (2, 3) includes more than one hot plates (2, 3), a heating medium (4) which heats the hot plates (2, 3), and a cooking medium dispensing means (5). The hot plates (2, 3) have at least one of the plates as an upper plate (2) and at least one of another plate as a lower plate (3), wherein the upper plate (2) and the lower plate (3) are functionally coupled to press and heat a food item when the food item is placed between the plates (2, 3). The cooking medium dispensing unit/component/etc. (5) dispenses a predefined quantity of the cooking medium at least on an upper surface of the food item, or a lower surface of the food item.

Abstract: Systems and methods provide a demand forecasting and network optimization for telecommunications services in a network. The systems and methods use classical and quantum computing devices. The computing devices evaluate data types using statistical symmetry recognition and operate between classical and quantum environments. Computing devices receive deposited data, batch data, and streamed data that relates to telecommunications services and segregate the data into spatial and temporal factors. The computing devices receive an analytic request for a forecast of the telecommunications services and conduct a multi-class plural-factored elastic cluster (MPEC) analysis for the telecommunications services using the segregated data. The MPEC analysis includes generating vectors comprised of slopes from plural coefficients to determine demand elasticity from plural features.

Abstract: A machine learning model is trained based at least on previous change requests, wherein each of the previous change requests are associated with a controlled management of a lifecycle of a change to an information technology environment. A security vulnerability of the information technology environment is identified. Using the trained machine learning model, a corresponding match score for each of a plurality of pending change requests is determined for the security vulnerability. An indication of whether a resolution specification for the security vulnerability is to be linked with one of the plurality of pending change requests selected based on a factor associated with its corresponding match score is received.

Abstract: A system includes first and second subsystems and a third processor. The first subsystem includes a first memory and a first processor. The first memory stores data, which includes metadata associated with transmitted metadata fields. The first processor transmits the data to the second subsystem. The second subsystem includes a second memory and a second processor. The second memory stores expected metadata fields. The second processor receives the data. The third processor determines that the first subsystem transmitted the data to the second subsystem and that a mismatch exists between the transmitted and expected metadata fields. In response, the third processor prevents the second subsystem from executing an application configured to process the data using the expected metadata fields. The third processor resolves the mismatch by modifying the expected metadata fields such that they correspond to the transmitted metadata fields and allows the second subsystem to execute the application.

Abstract: Embodiments of the present invention provide a system for autopartitioning and processing electronic resources. The system is configured for receiving one or more electronic resources from one or more third party systems, determining that the one or more electronic resources match one or more predetermined characteristics, moving the one or more electronic resources that match the one or more predetermined characteristics into a first pipeline and processing the one or more electronic resources.

Abstract: A first network device nonce is computed. The first network device nonce is based on a first network device secret. A Change Token Table message (CTTM) is sent to a second network device. The CTTM comprises the first network device nonce. A Change Token Table Ack Message (CTTAM) with a second network device nonce is received from the second network device. A new token for a tokenization table is computed based on the first network device secret, the second network device nonce, a prime number, and a key derivation function. The new token for the tokenization table is also computed by the second network device based on a second network device secret, the first network device nonce, the prime number, and the key derivation function.