Abstract: A computer-implemented system, method and/or computer program product to monitor changes in business risk of a targeted entity includes retrieving one or more industry classifications for one or more core businesses of the targeted entity; receiving news feeds related to the one or more industry classifications; detecting and extracting negative news related to the core businesses of the targeted entity from the news feeds; calculating an industry confidence score based upon the negative news; determining if the industry confidence score is greater than an industry confidence threshold; calculating, in response to the industry confidence score being larger than the industry confidence threshold, an entity confidence score for the targeted entity based upon negative news; and generating, in response to the entity confidence score being larger than an entity confidence threshold, an alert report for the targeted entity.

Abstract: Bias supplies and plasma processing systems are disclosed. One bias supply comprises an output node, a return node, and a switch network and at least one power supply coupled to the output node and the return node. The switch network and the at least one power supply configured, in combination, to apply an asymmetric periodic voltage waveform and provide a corresponding current waveform at the output node relative to the return node. A timing parameter estimator receives a digital representation of a full cycle of the voltage and current waveforms, and generates a pulse width control signal based on a crossing time that the current waveform crosses a threshold current value after falling from a positive peak current value to control the switch network.

Abstract: The disclosed technology can generally relate to methods for manufacturing spent coffee ground derived microbots for purifying contaminated water sources. The method for manufacturing the spent coffee ground derived microbots can include obtaining coffee grounds, magnetizing the coffee grounds, and coating the magnetized coffee ground with ascorbic acid. Magnetizing the coffee grounds can include immersing the coffee ground in a solution of iron oxide nanoparticles and ethanol, mixing the coffee grounds and the solution, and allowing the coffee grounds and the solution to sit undisturbed for a predetermined period.

Abstract: Present disclosure relates to BGR circuit (100) and method (500) for generating BGR voltage. BGR circuit (100) comprises bandgap reference core circuit (102) and complementary-to-absolute-temperature (CTAT) generation circuit (104). Base of transistor (Q1) connected to ground and base of transistor (Q2) connected to VX. CTAT generation circuit (104) comprises second current mirror, third current mirror, third transistor (Q3), load resistor (RL), second resistor (R2) and third resistor (R3). Base of transistor Q2 connected to one end of resistor (R2) and one end of resistor (R3). Other end of resistor (R3) is connected to ground. Other end of second resistor (R2) is connected to emitter of transistor (Q3) and drain of third MOSFET (M3). Output of amplifier coupled to first current mirror and second current mirror. Second resistor (R2) connected to drain of M3 and CTAT generation circuit (104) has output node for outputting BGR voltage.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a central device may receive, from a peripheral device, a probe request in a first extended personal area network (XPAN) time window. The central device may transmit, to the peripheral device in the first XPAN time window, a probe response with a target wake time that indicates XPAN time windows during which communications with the central device are allowed. Numerous other aspects are described.

Abstract: An example system for parsing and transforming input data that includes processing circuitry and memory, the memory configured to store the input data. The processing circuitry is configured to determine a first delimiter in the input data. The processing circuitry is configured to determine a plurality of second delimiter hypotheses and parse the input data according to the first delimiter and the plurality of second delimiter hypotheses to generate a plurality of tables that are each associated with a respective one of the plurality of second delimiter hypotheses. The processing circuitry is configured to determine a respective consistency score for each of the plurality of tables and select a table from among the plurality of tables based on the respective consistency score associated with the table. The processing circuitry is configured to format the input data based on the selected table to generate formatted data and output the formatted data.

Abstract: A system for processing patient data associated with a joint of a patient. The system including a computing device executing instructions to provide a bone model of the joint that is representative of the joint of the patient in a first pose. The instructions further including rearranging the bone models relative to each other to mimic a second pose of the joint of the patient from at least one image or model representative of the joint of the patient in the second pose. The instructions further including planning a joint replacement procedure with the bone models after rearranging the plurality of bone models to mimic the second pose of the joint of the patient from the at least one image or model representative of the joint of the patient in the second pose.

Abstract: Systems, methods, and other embodiments associated with adaptive code scanning are described. In one example method, a valid configuration that specifies approved parameters of use for a software component is defined. Software code is scanned to detect that the software component exists in the software code. Where the component is detected, the software code is scanned to identify implemented parameters of use for the software component. The implemented parameters are compared to the approved parameters. Based on the comparison, the software component is determined to be not implemented according to the valid configuration. Where the software component is implemented according to the valid configuration, the method automatically determines to proceed with the automated action based on the implemented parameters. The automated action is performed to adapt to the implemented parameters.

Abstract: A method according to the present disclosure may include providing an embedded service in an application, in response to receiving an input via the embedded service, determining an applicable module of a plurality of modules based on a characteristic of at least one of the input or of the embedded service, processing the input via the applicable module, and controlling the application based on the processed input. Another method according to the present disclosure may include providing an embedded service in an application, training a monitoring model via federated learning based on data derived locally from the application, monitoring, via the trained monitoring model, a plurality of interactions with the embedded service, determining, by the trained monitoring model, that at least one of the plurality of interactions comprises an anomalous interaction, and in response to the determination, restricting further usage of the application.

Abstract: A method according to the present disclosure may include providing an embedded service in an application, in response to receiving an input via the embedded service, determining an applicable module of a plurality of modules based on a characteristic of at least one of the input or of the embedded service, processing the input via the applicable module, and controlling the application based on the processed input. Another method according to the present disclosure may include providing an embedded service in an application, training a monitoring model via federated learning based on data derived locally from the application, monitoring, via the trained monitoring model, a plurality of interactions with the embedded service, determining, by the trained monitoring model, that at least one of the plurality of interactions comprises an anomalous interaction, and in response to the determination, restricting further usage of the application.

Abstract: Registering a biometric template with a computing device includes receiving a first scan of a biometric feature from a biometric sensor. The first scan includes first biometric data. The computing device extracts two or more distinct elements of the biometric feature and writes a biometric template to a memory. The first characterization data for each of the two or more distinct elements is recorded in the biometric template. After recording the first characterization data in the biometric template, the computing device receives an additional scan of the biometric feature from the biometric sensor. The additional scan includes second biometric data. The computing device validates the biometric template against the second biometric data. After validating the biometric template, the biometric template is updated with second characterization data. The second characterization data is associated with two or more additional distinct elements of the biometric feature contained in the second biometric data.

Abstract: Example systems, apparatus, articles of manufacture, and methods to improve audio quality based on load impedance sensing are disclosed. An example apparatus disclosed herein is to cause at least one test signal to be output to an audio device, a voltage of the at least one test signal based on a default load impedance. The example apparatus disclosed herein is to execute the instructions to measure a current drawn by the audio device based on the at least one test signal. The example apparatus disclosed herein is to execute the instructions to change the voltage based on an impedance profile, the impedance profile based on the measured current.

Abstract: Methods, systems, and devices for wireless communication are described. A user equipment (UE) may generate a scheduling request for transmission to a base station. The UE may pause a transmission of the scheduling request according to an overlap in time between a response window associated with the scheduling request and a scheduled tuneaway period of the UE. The UE may tune away from the base station during the tuneaway period. The UE may transmit the scheduling request after a completion of the tuneaway period according to the pausing.

Abstract: In implementations of systems for human reposing based on multiple input views, a computing device implements a reposing system to receive input data describing: input digital images; pluralities of keypoints corresponding to the input digital images, the pluralities of keypoints representing poses of a person depicted in the input digital images; and a plurality of keypoints representing a target pose. The reposing system generates selection masks corresponding to the input digital images by processing the input data using a machine learning model. The selection masks represent likelihoods of spatial correspondence between pixels of an output digital image and portions of the input digital images. The reposing system generates the output digital image depicting the person in the target pose for display in a user interface based on the selection masks and the input data.

Abstract: A system identifies data objects from a first piece of code in an original programming language and creates a knowledge graph that represents a relationship among the data objects. The system identifies an expression syntax in the first piece of code and determines an interpretation of the expression syntax. The system creates a sentence that indicates an interpretation of a respective code line. The system determines a counterpart data object in a target programming language for each word in the created sentence. In response, the system creates a second piece of code in the target programming language, such that the second price of code satisfies syntax rules in the target programming language. In response to determining that the second piece of code is configured to perform a particular task that the first piece of code is configured to, the system executes the second piece of code.

Abstract: Systems and methods for image processing are described. One aspect of the systems and methods includes receiving a plurality of images comprising a first image depicting a first body part and a second image depicting a second body part and encoding, using a texture encoder, the first image and the second image to obtain a first texture embedding and a second texture embedding, respectively. Then, a composite image is generated using a generative decoder, the composite image depicting the first body part and the second body part based on the first texture embedding and the second texture embedding.

Abstract: Disclosed are methods and apparatuses for charging a hybrid battery pack, the method including determining, by a battery management system (BMS), a current split ratio for allocating charging current to an energy cell and a power cell in a hybrid battery pack, based on any one or any combination of a state of charge (SoC) level of the energy cell at an instance of initiation of charging, a SoC level of the power cell at the instance of the initiation of the charging, a wattage of an adapter for charging the hybrid battery pack, a capacity of the hybrid battery pack, and a charging time period, and charging, by the BMS, the hybrid battery pack by allocating the charging current to the energy cell and the power cell based on the current split ratio.

Abstract: This disclosure provides methods, apparatuses, and computer-readable mediums for managing network devices in a telecommunication network using dynamically modifiable graph data schema. The method may be executed by one or more processors and may include creating an entity model specification file; validating a syntax of the entity model specification file based on parsing the entity model specification file; based on the syntax being valid, validating the entity model specification file, wherein validating the entity model specification file comprises converting the entity model specification file into a graph data schema; and initiating the graph data schema associated with the entity model specification file, wherein the initiating comprises changing the graph data schema to a ready state.

Abstract: Aspects of the present disclosure provide a method for wireless communications by a user equipment (UE). The method generally includes receiving a measurement configuration, wherein the measurement configuration indicates at least one or more frequency bands, determining, based on one or more parameters, a periodicity for measuring the at least one or more frequency bands, and performing measurements of the at least one or more frequency bands according to the determined periodicity.

Abstract: A device may receive historical project data identifying experiences and/or work product from previous projects and client data identifying a client with a problem, and may process the historical project data and the client data, with machine learning models, to generate recommendations for the problem and confidence scores for the recommendations. The device may process the recommendations and the confidence scores, with an NLG model, to generate a solution to the problem and content for the solution, and may generate a digitized dynamic client solution to the problem based on the solution and the content. The device may provide the digitized dynamic client solution to a user device, and may receive feedback on the digitized dynamic client solution from the user device. The device may generate a final digitized dynamic client solution based on the feedback, and may perform actions based on the final digitized dynamic client solution.