Abstract: The present invention relates to the use of a Raman spectral signature of nitrate, as a biomarker for an early, real-time diagnosis of nitrogen status in growing plants in a non-invasive or non-destructive way in order to detect nitrogen deficiency before the onset of any visible symptoms. The early, real-time diagnosis of nitrogen deficiency in plants makes it possible to correct nitrogen deficiency for the avoidance of negative effects on the yield and biomass of growing plants or leafy vegetables.

Abstract: Aspects described herein relate to receiving, from a network node, a list of supported models or model structures (MS) identifiers (IDs) per machine learning function name (MLFN) or machine learning feature (MLF) at the network node, updating a capability at the UE to an updated capability based on the list of supported models or MS IDs per MLFN or MLF at the network node, and downloading, at the UE and from a model repository, one or more models or MSs per MLFN or MLF based on the updated capability and available resources at the UE. Other aspects relate to transmitting the list of supported models or MS IDs and configuring use of a model or MS ID for a particular MLFN or MLF.

Abstract: Systems and methods for integration of user-administered diagnostic test results with electronic health records are provided. In one aspect, a method includes receiving a prescription specifying a user-administered test and a patient, transmitting prescription information to a pharmacy and to the test provider, generating a unique order identifier which is sent to a user application that associates the order identifier with a test result after the user administers the test, receiving the test result in association with the order identifier, storing the test result and the order identifier in a medical record database in association with a medical record number or a consultation identifier, and sending a notification of the test result to the prescribing clinician.

Abstract: A system includes a first battery, a second battery, and a battery connector coupling the first battery to the second battery. The battery connector includes a first portion and a second portion. The second portion is narrower than the first portion. The second portion is configured to decouple the first battery from the second battery when a current above a threshold current passes through the second portion.

Abstract: A system includes an enclosure, a heat-source component disposed in the enclosure, and an exhaust associated with the enclosure. The exhaust is configured to exhaust heat generated by the heat-source component. The system further includes an arrester plate assembly disposed within the enclosure. The arrester plate assembly includes perforations formed therein. The arrester plate assembly is approximately parallel to the exhaust.

Abstract: Systems, computer program products, and methods are described herein for systems and methods for identifying electronic accounts based on near real time machine learning in an electronic network. The present disclosure is configured to: identify at least one data storage component associated with an at least one application; determine at least one current requirement of the data; receive at least one data segment from the data storage component; collect at least one current element from at least one data segment; reformat and aggregate the at least one current element and link the at least one current element to a unique entity identifier; apply a trained machine learning model to the at least one current element; generate a new data segment; and generate a propensity score based on at least one of unique entity identifier, at least one current element, or at least one new data segment.

Abstract: A method of processing a metal substrate may include receiving the metal substrate and additively depositing metal particles on the metal substrate by cold spraying the metal particles to generate a cold spray coating adhered to the metal substrate. The method optionally may include rolling the metal substrate after depositing the metal particles to form the cold spray coating or before depositing the metal particles to form the cold spray coating. The method optionally may include heating the metal substrate before cold spraying. A metal processing system may include a cold spray system for additively deposing the metal particles on the metal substrate, and at least one piece of equipment for further processing the metal substrate.

Abstract: Described is a low power, high-density non-volatile differential memory bit-cell. The transistors of the differential memory bit-cell can be planar or non-planer and can be fabricated in the frontend or backend of a die. A bit-cell of the non-volatile differential memory bit-cell comprises first transistor first non-volatile structure that are controlled to store data of a first value. Another bit-cell of the non-volatile differential memory bit-cell comprises second transistor and second non-volatile structure that are controlled to store data of a second value, wherein the first value is an inverse of the second value. The first and second volatile structures comprise ferroelectric material (e.g., perovskite, hexagonal ferroelectric, improper ferroelectric).

Abstract: A digital video camera architecture for updating an object identification and tracking model deployed with the camera is disclosed. The invention comprises optics, a processor, a memory, and an artificial intelligence logic which may further comprise artificial neural networks. The architecture identifies objects according to a first confidence threshold of the model and identifies candidate objects according to the first confidence threshold and a second confidence threshold. The model may track the motion of the candidate objects within a visual field, separate the candidate objects into false positive candidate objects and false negative candidate objects according to their tracked motions, and present at least a portion of the false positive candidate objects and false negative candidate objects for further annotation.

Abstract: The present invention relates, in general to, compounds, compositions and methods useful for modulating gene expression of multiple target nucleic acids by a single chemical entity.

Abstract: The invention relates to RNAi agents, e.g., double stranded RNAi agents, targeting the Serpina1 gene, and methods of using such RNAi agents to inhibit expression of Serpina1 and methods of treating subjects having a Serpina1 associated disease, such as a liver disorder.

Abstract: Methods, systems, and devices for wireless communication are described. A network entity may configure a user equipment (UE) to report applicability information associated with artificial intelligence (AI) and/or machine learning (ML) functionalities and/or models. The applicability information indicates an applicability of a functionality and/or model per AI/ML-enabled feature or feature group. Based on the applicability information and a handover of the UE from a source network entity to a target network entity, the target network entity may configure a functionality and/or model. Additionally, or alternatively, the UE may be configured with a reference configuration and one or more additional configurations corresponding to respective AI/ML functionalities and/or models. The UE may apply an additional configuration based on a handover to the target network entity, the additional configuration satisfying an applicability condition, or both.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit, to a network node, a request for network assisted information associated with one or more of a machine learning (ML) model or analytics, the ML model or the analytics being associated with an application layer communication that is associated with the UE. The UE may receive, from the network node, one or more of the ML model or the analytics. Numerous other aspects are described.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may establish, by a first subscription of the UE, a connection to a first network entity using two transmit (Tx) chains of the UE. The UE may receive, by a second subscription of the UE, a paging message from a second network entity. The UE may receive, by the first subscription from the second subscription, a request for the first subscription to enter a mode that supports one Tx chain. The UE, by the first subscription, may reduce the two Tx chains to the one Tx chain for the first subscription. The UE may perform, by the second subscription to the second network entity, the connection setup based at least in part on the first subscription reducing the two Tx chains to the one Tx chain. Numerous other aspects are described.

Abstract: Methods, systems, and devices for wireless communication are described. A network entity may monitor a performance of a machine learning (ML) model or ML model-based functionality associated with a user equipment (UE). The UE may receive one or more control messages that indicate a life cycle management (LCM) operation for the ML model or ML model-based functionality. The one or more control messages may include an indication of whether the LCM operation is based on the performance of the MIL model or ML model-based functionality. In some examples, the indication may include or be an example of a performance report associated with the performance of the ML model or ML model-based functionality. The UE may perform the LCM operation for the ML model or ML model-based functionality. The UE or the network entity may transmit the indication to a server associated with the ML model or ML model-based functionality.

Abstract: Systems and methods for providing non-active subscriber identity module (SIM) services leveraging multiple SIMs configured at multiple UEs are disclosed herein. A primary user equipment (UE), activating a first SIM of a dual SIM dual standby (DSDS) configuration used by the primary UE to perform active-mode network communications on the first SIM and sends, to a secondary UE, an indication to activate a second SIM of the DSDS configuration in response to the activating the first SIM of the DSDS configuration used by the primary UE. The secondary UE receives the indication to activate the second SIM of the first DSDS configuration used by the primary UE and activates the second SIM for use by the secondary UE in response to receiving the indication. Accordingly, the secondary UE may handle any network communications on the second SIM during the network communications on the first SIM at the primary UE.

Abstract: An information handling system generates a tree of peripheral component interconnect devices of the information handling system, and determines a count of storage controllers supported by a storage miniport driver based on the tree of the peripheral component interconnect devices. If a list of uninstalled miniport drivers is not empty, then the system deducts a number of the uninstalled miniport drivers in the list from the count of the storage controllers resulting in a final count of the storage controllers that are supported by the storage miniport driver.

Abstract: Examples of the present disclosure describe systems and methods for automatically detecting and repairing reliability issues in operating systems and applications using a generative artificial intelligence (“AI”) system. In examples, a generative AI system receives a request to evaluate a detected issue in a software service or application. In response, the system analyzes error information associated with the detected issue to build an error context for the software code that caused the detected issue. The error context is used to identify the location of the software code file that comprises the software code. The error context and the software code file are used to identify a prompt. The prompt, the error context, and/or the identified software code are provided as input to a language model. The language model provides an output that is responsive to the user request and may perform actions to further evaluate or repair the detected issue.

Abstract: This disclosure pertains to systems and methods to detect network errors in a parallel redundant protocol (PRP) network. A node-level redundancy error subsystem of an intelligent electronic device (IED) maintains records (e.g., counts) of information associated with missing duplicate frames expected from node devices on the PRP network via redundant first and second local area networks (LANs). Non-zero counts of missing duplicate frames may be identified as network errors.

Abstract: An apparatus and configuring scheme where a capacitive input circuit can be programmed to perform different logic functions by adjusting the switching threshold of the capacitive input circuit. Digital inputs are received by respective capacitors on first terminals of those capacitors. The second terminals of the capacitors are connected to a summing node. A pull-up and pull-down device are coupled to the summing node. The pull-up and pull-down devices are controlled separately. During a reset phase, the pull-up and/or pull-down devices are turned on or off in a sequence, and inputs to the capacitors are set to condition the voltage on node n1. As such, a threshold for the capacitive input circuit is set. After the reset phase, an evaluation phase follows. In the evaluation phase, the output of the capacitive input circuit is determined based on the inputs and the logic function configured during the reset phase.