Abstract: The various implementations described herein include techniques and apparatuses for handwriting and other user gesture detection and recognition. In one aspect, a method includes receiving, via one or more sensors of a wearable device worn by a user, neuromuscular data generated from performance of a hand gesture by the user. The method also includes generating, using one or more encoders, one or more encodings by encoding the neuromuscular data; and identifying, using a language model, one or more terms from the one or more encodings. The method further includes causing display of the one or more terms to the user during performance of the hand gesture.

Abstract: A method, for providing supplementary heat energy into a cabin of a work machine when a main heating system of the cabin is inactive, includes using an auxiliary heat source to impart heat to an auxiliary coolant stream. The main energy form powers a main heat source of the main heating system. Further, the method includes providing an auxiliary fluid circuit to fluidly couple the auxiliary heat source with one or more heat exchangers to supply the auxiliary coolant stream from the auxiliary heat source to the one or more heat exchangers for circulation therewithin. During the circulation of the auxiliary coolant stream within the one or more heat exchangers, the auxiliary coolant stream dissipates heat to an air flowing across the one or more heat exchangers and into the cabin to provide the supplementary heat energy into the cabin.

Abstract: A method for assisted context generation for enhanced accuracy in document inferencing includes designating, by a device including a processor and in response to an input prompt, a selected context information source from a group of context information sources using a first machine learning model. The selected context information source is designated based on relevance of the selected context information source to the input prompt. The method further includes constructing, by the device and using a second machine learning model that is not the first machine learning model, a human-readable response to the input prompt by applying parameters of the second machine learning model to the input prompt and the selected context information source.

Abstract: A cooling arrangement for conditioning air within a cabin of an underground work machine includes blowers to generate an air flow, a first evaporator, and a second evaporator. The first evaporator provides passage to a first portion of the air flow and receive a first coolant to facilitate a first heat transfer from the first portion of the air flow to the first coolant. The second evaporator provides passage to a second portion of the air flow and receive a second coolant to facilitate a second heat transfer from the second portion of the air flow to the second coolant. A receipt of the first coolant into the first evaporator for the first transfer and a receipt of the second coolant into the second evaporator for the second transfer occurs either independently or simultaneously with each other for supplying conditioned air flow into the cabin to cool the cabin.

Abstract: Systems, methods, and computer program products are provided herein for tokenized data transfers between electronic devices in a distributed network. An example method includes receiving a request for a tokenized data transfer associated with at least a first user and determining one or more data transfer parameters defining the tokenized data transfer request. The example method further includes generating a data transfer token for the first user based on the data transfer parameters where the data transfer token includes at least a first resource associated with the first user. The example method also includes providing the data transfer token within a mobile resource application of the first user. A second user associated with the request for the tokenized data transfer based may be determined based on the one or more data transfer parameters, and the method may include effectuating the tokenized data transfer between the users.

Abstract: Residual limit determination for a cleaning agent corresponding to a validation of an equipment cleaning process is presented herein. A system determines a cleaning agent for cleaning a group of equipment to be used to manufacture a product; and determines a sum of surface areas of respective surfaces of respective groups of parts of the group of the equipment that have been determined to be contacted by the product and the cleaning agent. Based on the sum of surface areas of the respective surfaces that have been determined to be contacted by the product and the cleaning agent, the system determines a cleaning agent residue limit representing a threshold maximum allowable residue of the cleaning agent to be present after the cleaning process has been performed on the group of equipment, and facilitates a cleaning validation of the cleaning process according to the cleaning agent residue limit.

Abstract: A method for power balancing includes receiving data from wireless devices within a cell provided by an access node and estimating a downlink coverage distance of the cell based on signal strengths reported in the data. The method further includes estimating an average distance from the access node at which the wireless devices have insufficient transmit power to reach the access node based on the data. Additionally, the method includes comparing the downlink coverage distance to the average distance and adjusting the downlink coverage distance based on the comparison.

Abstract: A method, computer program product, and computer system for using agents at a data lake to assist training, testing, and deploying a model for predicting one or more outputs from specified input to the model, using agents at the data lake. The agents identify at the data lake: hardware resources, a first portion of model input data for training and testing the model, a training language, and a first software resource. A first execution of the first software resource is triggered to split the first portion of the model input data into training input data and testing input data. A first portion of the hardware resources is identified for training and testing the model. A second software resource stored at the data lake is identified for optimizing the model in accordance with an optimization algorithm. Training the model at the data lake is triggered.

Abstract: In general, this disclosure describes techniques for a containerized router operating within a cloud native orchestration framework. In an example, a computing device comprises processing circuitry; a containerized set of workloads; a containerized routing protocol process configured to execute on the processing circuitry and configured to receive routing information; a kernel network stack executing on the processing circuitry and configured to forward packets based on first routing information from the containerized routing protocol process; and a data plane development kit (DPDK)-based virtual router executing on processing circuitry and configured to forward traffic to and from the workloads based on second routing information from the containerized routing protocol process.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may establish a communication connection with a serving cell associated with a first discontinuous reception (DRX) cycle configuration, determine, based at least in part on at least one of a first on duration of a first DRX cycle indicated by the first DRX cycle configuration or a type of traffic of one or more communications received during the first DRX cycle, an autonomous measurement gap associated with a neighboring cell, and perform a measurement of the neighboring cell during the autonomous measurement gap. Numerous other aspects are provided.

Abstract: In an approach to intelligent connection placement across multiple logical ports, a mapping table for a virtual machine is created. Responsive to determining that an entry exists in the mapping table for the port on the peer device, whether a virtual function exists the port on the peer device in the mapping table for the same physical function is determined. A virtual function is selected from the mapping table to connect the local port to the port on the peer device.

Abstract: Systems, methods, and computer program products are provided herein for tokenized data transfers between electronic devices in a distributed network. An example method includes receiving a request for a tokenized data transfer associated with at least a first user and determining one or more data transfer parameters defining the tokenized data transfer request. The example method further includes generating a data transfer token for the first user based on the data transfer parameters where the data transfer token includes at least a first resource associated with the first user. The example method also includes providing the data transfer token within a mobile resource application of the first user. A second user associated with the request for the tokenized data transfer based may be determined based on the one or more data transfer parameters, and the method may include effectuating the tokenized data transfer between the users.

Abstract: A differential ESD circuit is provided for protecting a pair of differential terminals of an integrated circuit from electrostatic shock. A first diode couples between a first terminal in the pair of differential terminals and a first resistor that couples to a voltage node of the integrated circuit. Similarly, a second diode couples between a second terminal in the pair of differential terminals and a second resistor that couples to the voltage node of the integrated circuit. The first and second resistors isolate the first and second terminals from a capacitive loading that would otherwise exist from the first and second diodes.

Abstract: Provided are a system and a method for testing virtual private network server. The system is configured to receive a request for a VPN server, the request indicating a number of test operations associated with the VPN server and a computation resource requirement for performing the test operations. Further configure a master node and a set of worker nodes based on the computation resource requirement and cause the set of worker nodes to perform the test operations to generate traffic data. Further, validate a load of the VPN server based on the generated traffic data and resources of the VPN server. Further, to validate the load of the VPN server, identify a time taken by the VPN server to process the traffic data. Further, on determining the time to be greater than a threshold, cause to identify that VPN server is unable to process the load of the traffic data.

Abstract: Provided are a system and a method for validating a user-interface (UI). The system is configured to cause to make a change to a document object model (DOM) of a software application. The DOM of the software application is associated with the UI of the software application.

Abstract: An input specifying a schematic of user interface components of an application program is received. A first group of one or more machine learning models is used to automatically identify the user interface components and associated properties specified in the input. Based on the identified user interface components and the associated properties, a second group of one or more machine learning models is used to automatically generate program code implementing the application program including the user interface components.

Abstract: The disclosure is directed to a new human parainfluenza virus (HPIV)/SARS-CoV-2 vaccine or vaccine construct/polynucleotide. Specifically, the HPIV is a Human parainfluenza virus type 3 (HIPV3), and the vaccine construct encoding a SARS-CoV-2 spike protein (S protein), that is a SARS-CoV-2 S protein S1 subunit and/or a SARS-CoV-2 S protein receptor binding domain (RBD), in certain aspects the vaccine or vaccine construct is administered via intranasal administration.

Abstract: Systems, methods, and devices in a satellite for on-orbit recovery are described. The device includes a plurality of circuits that are electrically connected to a backplane of the device, and a controller configured to monitor parameters of at least one of the plurality of circuits, and configured to store the parameters that are monitored with respective timestamps and respective orbit locations of the satellite. The controller is further configured to identify an error of a first circuit of the plurality of circuits based on the parameters that are monitored and the respective orbit locations of the satellite.

Abstract: Provided are a system and a method for updating a software application in a multitenant cloud network. The system may receive a request to execute an update of the software application on a tenant node associated with the multi-tenant cloud network. Responsive to receiving the request, the system may cause to install the updated version on the tenant node. The updated version relates to a micro-service of the software application. Further, the system may obtain operational parameters relating to the tenant node, and provision the updated version on the tenant node while the tenant node is executing instances of the software application during the provisioning of the updated version based on the operational parameters and the high availability architecture. The operational parameters comprise at least operation timing and operational traffic data.

Abstract: The present application relates to devices and components including apparatus. systems, and methods for pairing UICC/SIM with device components.