Abstract: The present invention discloses a method for the identification and absolute quantification of peptide based impurities in a protein/antibody composition using high resolution mass spectrometry. The method utilizes synthetic peptides for plotting a standard calibration curve which is, in turn, used for the absolute quantification of the impurities. In particular, the method is utilized for quantification of signal peptide remnants in heterogeneous unpurified or partially purified protein samples, comprising a complex mixture of proteins, with high sensitivity using unlabeled synthetic peptides.

Abstract: Techniques for optimal changeover in a multicell environment when conditional cell changeover is configured are disclosed. A user equipment (UE) may receive a conditional changeover command (e.g., conditional handover (CHO), conditional primary secondary cell (PSCell) change CPC)) from a serving cell. The conditional changeover command may include a neighbor cell configuration of a neighbor cell set comprising one or more cells that neighbor the serving cell. The neighbor cell configuration may indicate resource configurations of uplink (UL) and/or downlink (DL) resources the neighbor cell set. The UE may utilize the neighbor cell configuration to determine potential interferences due to the resources of the serving cell colliding with the resources of the neighbor cell set, and take mitigation steps to address the potential interferences.

Abstract: A computer implemented method for determining optimal values for operational parameters for a model predictive controller for controlling a vehicle, can receive from a data store or a graphical user interface, ranges for one or more external parameters. The computer implemented method can determine optimum values for external parameters of the vehicle by simulating a vehicle operation across the ranges of the one or more operational parameters by solving a vehicle control problem and determining an output of the vehicle control problem based on a result for the simulated vehicle operation. A vehicle can include a processing component configured to adjust a control input for an actuator of the vehicle according to a control algorithm and based on the optimum values of the vehicle parameter as determined by the computer implemented method.

Abstract: A computer implemented method for determining optimal values for controls parameters for a model predictive controller for controlling a vehicle can receive from a data store or a graphical user interface, ranges for one or more operational parameters. The computer implemented method can determine optimum values for controls parameters by simulating a vehicle operation across the ranges of the one or more operational parameters by solving a vehicle control problem and determining an output of the vehicle control problem based on a result for the simulated vehicle operation. A vehicle can include a processing component configured to adjust a control input for an actuator of the vehicle according to a control algorithm and based on the optimum values of the controls parameter as determined by the computer implemented method.

Abstract: An implementation of a device disclosed herein includes a field programmable gate array (FPGA) circuit and a non-volatile memory (NVM) configured external to the FPGA circuit and configured to communicate with an in-system programming (ISP) manager configured on the FPGA circuit, wherein the NVM is further configured to store one or more system parameters and one or more firmware images, wherein the ISP manager being configured to detect an ISP mode in response to receiving a signal from an ISP switch and executing an ISP state machine to update one or more FPGA CPU control registers with one or more of the system parameters and the one or more of the firmware images stored on the NVM.

Abstract: Some aspects provide: analyzing data exchange database records of a first entity; determining a sector with which the first entity is associated by at least one of the analyzing and first entity input identifying the sector; analyzing data exchange database records of second entity(ies) different from the first entity, to determine sector associated second entity(ies) data exchanges; analyzing the sector associated second entity(ies) data exchange records to determine data baseline(s); analyzing the first entity data exchange records to determine first entity data baseline(s), at least one of which corresponding in type to a respective one of the data baseline(s); comparing one of the data baseline(s) to a corresponding one of the first entity data baseline(s); identifying the relevant information based on the comparing; and notifying, via a communication module of the computing device, over a network, an electronic device associated with the first entity of the relevant information.

Abstract: A method includes obtaining sensor data associated with a deposition process performed in a process chamber to deposit a film stack on a surface of a substrate, wherein the film stack comprises a plurality of layers of a first material and a plurality of layers of a second material. The method further includes obtaining metrology data associated with the film stack. The method further includes training a first machine-learning model based on the sensor data and the metrology data, wherein the first machine-learning model is trained to generate predictive metrology data associated with layers of the first material. The method further includes training a second machine-learning model based on the sensor data and the metrology data, wherein the second machine-learning model is trained to generate predictive metrology data associated with layers of the second material.

Abstract: A method for feedback-based network slice management includes steps performed at a network slice management function (NSMF) including at least one processor. The steps include subscribing, via a network data analytics function (NWDAF) subscription interface of the NSMF, directly with the NWDAF to create a subscription to be notified of network slice load information and specifying, as part of the subscription, network slice load information report generation criteria defined by the NSMF. The steps further include receiving, directly from the NWDAF, via the NWDAF subscription interface of the NSMF and in response to the NSMF-defined network slice load information report triggering criteria being met, network slice load information. The steps further include determining, based on the network slice load information, that a network slice resource allocation change is needed.

Abstract: A system to support a machine learning (ML) operation comprises a core configured to receive and interpret commands into a set of instructions for the ML operation and a memory unit configured to maintain data for the ML operation. The system further comprises an inference engine having a plurality of processing tiles, each comprising an on-chip memory (OCM) configured to maintain data for local access by components in the processing tile and one or more processing units configured to perform tasks of the ML operation on the data in the OCM. The system also comprises an instruction streaming engine configured to distribute the instructions to the processing tiles to control their operations and to synchronize data communication between the core and the inference engine so that data transmitted between them correctly reaches the corresponding processing tiles while ensuring coherence of data shared and distributed among the core and the OCMs.

Abstract: A network device may receive, from a collector device, a request for telemetry data associated with service interfaces and counters of the network device. The network device may determine, based on the request, a first quantity of the service interfaces and a second quantity of the counters. The network device may determine a first time interval to send delta values of the telemetry data associated with the service interfaces and the counters, and a second time interval to send absolute values of the telemetry data, based on the first time interval, the first quantity of the service interfaces, and the second quantity of the counters. The network device may provide, to the collector device, the absolute values of the telemetry data based on the second time interval and may provide, to the collector device, the delta values of the telemetry data based on the first time interval.

Abstract: In one embodiment, a processor includes: a plurality of cores; a first storage to store parameter information for a voltage regulator to couple to the processor via a voltage regulator interface; and a power controller to control power consumption of the processor. The power controller may determine a performance state for one or more cores of the processor and include a hardware logic to generate a message for the voltage regulator based at least in part on the parameter information, where this message is to cause the voltage regulator to output a voltage to enable the one or more cores to operate at the performance state. Other embodiments are described and claimed.

Abstract: Systems, apparatus, instructions, and methods for medical machine time-series event data processing are disclosed. An example time series event data processing apparatus includes memory storing instructions and one-dimensional time series healthcare-related data; and at least one processor. The example at least one processor is to: execute artificial intelligence model(s) trained on aggregated time series data to at least one of a) predict a future medical machine event, b) detect a medical machine event, or c) classify the medical machine event using the one-dimensional time series healthcare-related data; when the artificial intelligence model(s) are executed to predict the future medical machine event, output an alert related to the predicted future medical machine event to trigger a next action; and when the artificial intelligence model(s) are executed to detect and/or classify the medical machine event, label the medical machine event and output the labeled event to trigger the next action.

Abstract: Technologies for cloud-based secure WLAN group self-forming are described. One provisioner portal device receives, from a client provisionee device that desires to connect to a home WLAN, a first SSID and forwards, to a cloud service via a wireless AP device, the first SSID and a MAC address. The provisioner portal device receives, from the cloud service via the WAP device, a second SSID and a passphrase. The provisioner portal device sends, to the client provisionee device, a response that includes the second SSID. The provisioner portal device creates a one-time provisioning wireless network with the second SSID and the passphrase. Through the provisioner portal device, WAP credentials can be exchanged from the cloud server to the client provisionee device over a secure channel. The WAP credentials can be used to switch to the home WLAN without user interaction to manually enter the WAP credentials at the client provisionee device.

Abstract: Disclosed are acoustic logging systems and methods that involve correlating broadband acoustic signals acquired by a plurality of acoustic sensors at multiple depths within a wellbore to compute covariance matrices and their eigenvalues in the frequency domain for a plurality of frequency bins. In accordance with various embodiments, acoustic sources are detected and located based on the eigenvalues viewed as a function of depth and frequency.

Abstract: Various examples are directed to determining an impact of a subunit on the value of a unit. A web-based analytics system receives unit value data via a user interface page provided to a supplier computing device by a web application, the unit value data including relationship data describing a relationship between a plurality of subunit values and a unit value. Based on relationship data, the system increases a value for a first subunit while holding values for the other subunits constant until the value of the unit increases to a unit value threshold and increases a value for a second subunit while holding values for the other subunits constant until the value of the unit increases to a unit value threshold. The system compares an increase in the value of the first subunit to increase the value of the unit to the unit value threshold with an increase in the value of the second subunit to increase the value of the unit to the unit value threshold.

Abstract: A system for monitoring drug delivery including a container having a medicine, the medicine associated with a patient and a code on an outside of the container. The system also including a user device having a camera and software executing on a computer readable medium for initiating recording of a video with the camera, prompting the patient to show the code in the video and show the taking of the medicine in the video. The system further includes a computer receiving the video, the computer having a datastore with a plurality of profiles, one of the plurality of profiles being a patient profile associated with the patient and software executing on a computer readable medium for storing the video, verifying the association of the medicine and the patient, identifying movement in the video, and generating a score indicative of the likelihood the medicine was taken by the patient.

Abstract: Disclosed are aspects of network function placement in virtual graphics processing unit (vGPU)-enabled environments. In one example a network function request is associated with a network function. A scheduler selects a vGPU-enabled GPU to handle the network function request. The vGPU-enabled GPU is selected in consideration of a network function memory requirement or a network function IO requirement. The network function request is processed using an instance of the network function within a virtual machine that is executed using the selected vGPU-enabled GPU.

Abstract: A load floor assembly for a motor vehicle. The load floor assembly comprises a structural core, a first surface layer situated on a first side of the structural core, and a second surface layer situated on a second side of the structural core. The load floor assembly also includes an embedded layer positioned intermediate at least one of the first and second surface layers and the structural core. At least one electronic component is incorporated into the embedded layer, to provide a secondary functionality to the load floor assembly.

Abstract: Systems and methods are provided for merchant mobile acceptance of user device data. For example, a method comprises receiving encrypted user device data and reader metadata from a merchant mobile device, determining a device reader API and device reader encryption scheme using the device reader metadata, parsing the encrypted user device data using the device reader API to determine encrypted personal information, and decrypting the encrypted personal information using the reader encryption scheme.