Abstract: Described herein are systems and methods for providing software provisioning of functionality in a wireless communications device. Software-enabling functionality may include systems for granting a license to intellectual property or other pre-embedded functionality within a device. Communications to and from the device may be used to send or receive activation messages and/or licensing messages. Network capabilities may be provisioned using activation messages sent over the network. Activation messages may be sent in-band or out-of-band, for a device connected to the Internet and/or a mobile operator core network. Licenses may be required for any functions or intellectual property present on a given device. Activation may enable logical modules of a system-on-chip (SOC), functions of a software-defined radio (SDR), baseband, or DSP core. The disclosed systems and methods could thereby provide a new, flexible paradigm, namely, “Silicon as a Service (SaaS).

Abstract: A gas manifold for single-nozzle deposition chambers comprising a base having a top surface and bottom surface defining a thickness; a primary nozzle having an inlet and outlet extending through the thickness of the base; and a secondary nozzle having an inlet extending partially through the top surface of the base and at least one channel extending a distance from a sidewall of the base having an outlet, the channel in fluid communication with the inlet of the secondary nozzle. The inlet of the primary nozzle has a hollow protrusion extending from the top surface of the base into the gas feed. The channel of the secondary nozzle includes a bend between the sidewall of the base and the outlet configured to pass between a first direct energy source and second direct energy source, the first energy source and second energy source disposed on a top wall of a chamber.

Abstract: This invention is in the area of improved combination treatments for a select group of hard-to-treat cancer patients, including, for example, those with advanced/metastatic triple negative breast cancer (TNBC), recurrent or metastatic urothelial cancer (mUC), or a Trop-2 overexpressing cancer such as non-small cell lung cancer (NSCLC), wherein the improved combination includes the use of trilaciclib and sacituzumab govitecan, and provides increased overall survival and/or reduced toxicity.

Abstract: A method includes obtaining, by a processing device, data indicative of locations of defects of a substrate. The method further includes generating an image indicating the locations of the defects. The method further includes providing the image indicating the locations of the defects to a trained machine learning model. The method further includes obtaining, as output from the trained machine learning model, a classification of the locations of the defects. The method further includes performing a corrective action in view of the output from the trained machine learning model.

Abstract: A method of preventing asthma is presented. A therapeutically effective amount of at least one soy isoflavone is administered to those patients exhibiting a PAI-1 risk genotype of 4G4G or 4G5G. The administration of the at least one soy isoflavone prevents development of asthma in the patients, particularly in pediatric patients which have suffered a viral illness within the first few years of life. Administration of the soy isoflavones to those pediatric patients throughout the viral season is beneficial in preventing the development of asthma.

Abstract: Systems, methods and computer software are disclosed for providing a 5G native architecture. In one embodiment a method includes providing an all G software platform, including a core virtualization stack capable of communication with all hauls, and a radio virtualization stack capable of communication with all cores; and wherein the core virtualization stack communicates with an analytics layer, the analytics layer communicates with an orchestration layer, the orchestration layer communicates with a consolidation layer, and the consolidation layer communicates with the radio virtualization stack such that any G core is able to communicate with any G radio access network.

Abstract: Tasks are selected for hibernation by recording user preferences for tasks having no penalty for hibernation and sleep; and assigning thresholds for battery power at which tasks are selected for a least one of hibernation and sleep. The assigning of the thresholds for battery power include considering current usage of hardware resources by a user and battery health per battery segment. A penalty score is determined for tasks based upon the user preferences for tasks having no penalty, and task performance including at least one of frequency of utilization, memory utilization, task dependency characteristics and task memory hierarchy. The penalty performance is a value including both the user preference and the task performance. Tasks can then be put into at least one of hibernation mode and sleep mode dictated by their penalty performance during the thresholds for battery power.

Abstract: A system, e.g., a system on a chip (SoC) includes a first domain including a first processor configured to boot the system; a second domain including a processing subsystem having a second processor; and isolation circuitry between the first domain and the second domain During boot-up of the system, the first processor provides code to the second domain. When the code is executed by the second processor, it configures the processing subsystem as either a safety domain or as a general-purpose processing domain. The safety domain may an external safety domain or an internal safety domain.

Abstract: The present disclosure pertains to a system for delivering location information between a calling party and a called party call including a processor (202), communicatively coupled to a first mobile computing device (106), and a second mobile computing device (110). The first mobile computing device (106), and the second mobile computing device (110) can include a set of sensors configured to determine location of the first mobile computing device (106), and the second mobile computing device (110). The processor (202) can be configured to determine a first displayable location code and a second displayable location code and facilitates transmitting and displaying the first displayable location code to the second mobile computing device (110), and the second displayable location code to the first mobile computing device (106) in online mode. The system (102) can be configured to display the first displayable location code and the second displayable location code in form of audio, text, pop up.

Abstract: Identifying an indistinct entity within an image can include generating by an image filter multiple gradients, each of which corresponds to one of a plurality of pixels of an image captured by an imager. The image can be searched for a likely repeating pattern. Responsive to detecting, based on the multiple gradients, a likely repeating pattern within the image, data structures can be generated, the data structures comprising a set of probabilistically weighted feature vectors corresponding to the likely repeating pattern. A machine learning model can classify each of the set of probabilistically weighted feature vectors. An identity of the likely repeating pattern can be output, the identity based on the machine learning model classifications of the probabilistically weighted feature vectors.

Abstract: Compounds as inhibitors of Activating Transcription Factor 6 (ATF6) are provided. The compounds may find use as therapeutic agents for the treatment of diseases or disorders mediated by ATF6 and may find particular use in the treatment of viral infections, neurodegenerative diseases, vascular diseases, or cancer.

Abstract: Acidizing treatments for carbonate reservoir may include a surfactant comprising one or more of C8-C30-alkyloxyglycoside-substituted hydroxysultaine, C8-C30-alkylamidopropyl hydroxysulfobetaine, poly(diallyldimethylammonium chloride), C8-C30-alkyl amido alkylamine oxide, C8-C30-alkyl-amido amine oxide, C8-C30-alkyl amine oxide, C8-C30-alkyl aryl amine oxide, C8-C30-alkyl polyether phosphate, C8-C30-alkyl polyether phosphonate, C8-C30-alkyl ether phosphonate, C8-C30-alkyl amido ammonium propyl sulfonate, C8-C30-alkyl amido ammonium vinyl sulfonate, C8-C30-alkyl ether sulfonate, C8-C30-alkyl amido ammonium propyl sulfonate, C8-C30-alkyl ether sulfonate, alpha olefin sulfonate, C8-C30-alkyl benzene sulfonate, C8-C30-alkyl ethoxy carboxylate, C8-C30-alkylphenol ethoxylate carboxylate, and C8-C30-alkyl amido ammonium carboxylate. These acidizing treatments may also include an aqueous acid solution or mixture.

Abstract: The present invention discloses bioengineered corneal grafts for treating either or both Keratoconus and visual impairment, selected from (i) a corneal Onlay comprises or coated by at least one member of Group A, consisting of biocompatible synthetic materials; at least one member of Group B, consisting of at least one type of biological polymer and optionally, at least one member of Group C, consisting of at least one type of protein and (ii) An intrastromal corneal lenticule graft, configured to mimic native corneal stroma tissue by means of its optical properties, mechanical properties, permeability and interaction with corneal stromal cells; wherein at least one portion of said lenticule comprises or coated by at least one member of Group D, consisting of transparent crosslinked hydrogel; at least one member of Group E, consisting of collagen; collagen methacrylate, recombinant mammal collagen, mammal-sourced collagen; and optionally, at least one member of Group F, consisting of Keratocytes and/or stem c

Abstract: Cooperative session orchestration includes devising a crypt for pre-distribution of tokens, distributing the tokens to member nodes of the network, based on a request from a delegate node of the network for brokerage of a session between the delegate node and a supplier node of the network, creating and sending, for each of a plurality of potential supplier nodes of the network, a respective individual puzzle, receiving, from each of one or more potential supplier nodes of the plurality of potential supplier nodes, a respective result obtained by the potential supplier node from solving the individual puzzle using the token distributed to the potential supplier, identifying, based on the receiving, candidate supplier node(s) of the one or more potential supplier nodes as a potential supplier for the session with the delegate node, and identifying to the delegate node the candidate supplier node(s) for the session with the delegate node.

Abstract: Prioritizing a work request pertaining to a physical asset can include generating a data structure that encodes the work request as a multidimensional representation indicating at least one classification, each at least one classification including at least one sub-category. In response to identifying multiple work requests encoded as multidimensional representations with respect to the physical asset, each multidimensional representation can be reduced to a one-dimensional (1-D) representation that preserves a variance factor of each sub-category of each multidimensional representation. Each 1-D structure can be input to a machine learning model trained to prioritize each of the work requests. The work requests can be prioritized in accordance with the machine learning model based on the 1-D structures. The priorities of each of the work requests can be output.

Abstract: Methods and server systems for computing fraud risk scores for various merchants associated with an acquirer described herein. The method performed by a server system includes accessing merchant-related transaction data including merchant-related transaction indicators associated with a merchant from a transaction database. Method includes generating a merchant-related transaction features based on the merchant-related indicators. Method includes generating via risk prediction models, for a payment transaction with the merchant, merchant health and compliance risk scores, merchant terminal risk scores, merchant chargeback risk scores, and merchant activity risk scores based on the merchant-related transaction features. Method includes facilitating transmission of a notification message to an acquirer server associated with the merchant.

Abstract: Tasks are selected for hibernation by recording user preferences for tasks having no penalty for hibernation and sleep; and assigning thresholds for battery power at which tasks are selected for a least one of hibernation and sleep. The assigning of the thresholds for battery power include considering current usage of hardware resources by a user and battery health per battery segment. A penalty score is determined for tasks based upon the user preferences for tasks having no penalty, and task performance including at least one of frequency of utilization, memory utilization, task dependency characteristics and task memory hierarchy. The penalty performance is a value including both the user preference and the task performance. Tasks can then be put into at least one of hibernation mode and sleep mode dictated by their penalty performance during the thresholds for battery power.

Abstract: The present invention relates to lithium ion cells and specifically to lower capacity (3-10 Ah) elliptic cylindrical lithium ion cells with individual positive and negative terminals projecting from the top of the cell. In particular, the present invention relates to lower capacity elliptic cylindrical lithium ion cells with plastic compression seals, and method of processing them. The cells of the present application exhibit good charge retention and low internal resistance and can be employed for mission critical applications viz. powering satellites, launch vehicles, military vehicles, submarines and electric vehicles.

Abstract: Computer processing techniques are described for augmenting computed tomography (CT) images with synthetic artifacts for artificial intelligence (AI) applications. According to an example, a computer-implemented method can include generating, by a system comprising a processor, synthetic artifact data corresponding to one or more CT image artifacts, wherein the synthetic artifact data comprises anatomy agnostic synthetic representations of the one or more CT image artifacts. The method further includes generating, by the system, augmented CT images comprising the one or more CT image artifacts using the synthetic artifact data. In one or more examples, the method can further include training, by the system, a medical image inferencing model to perform an inferencing task using the augmented CT images as training images.

Abstract: A column in a memory array includes one bit cell circuit in each row for storing information about the row. The bit cell circuits store data in a data node and a complement data node in a cross-coupled inverter circuit. Toggling the nodes in a cross-coupled inverter includes discharging a charged node in contention with a charge current provided in the cross-coupled inverter circuit. The column circuit includes a first voltage supply circuit to decouple the cross-coupled inverter circuits from a first voltage rail to cut off charging current in response to a column set signal in a column set operation. The cross-coupled inverters of the bit cell circuits in the column circuit are coupled to a first voltage supply line. The column set input controls the first voltage supply circuit to decouple the first voltage supply line from a first voltage rail.