Abstract: A system and method for autonomous data and signalling traffic management in a distributed infrastructure is disclosed. The method includes a distributed multi-cloud computing system with machine learning based intelligence across heterogenous computing platforms hosting mobile network functions, capable of leveraging AI based distribution across all the resources to creates autonomous network operations and intelligently work around any impairments. The method includes determining one or more service nodes by using a trained traffic management based ML model and establishing one or more cloud mesh links between the one or more service nodes at multiple levels of hierarchy based on the system, environment and network parameters and the current network demand. Further, the method includes processing the request by providing access of the one or more services hosted on the one or more external devices to the one or more electronic devices via the one or more cloud mesh links.

Abstract: Systems and methods described herein support compartment quotas in a cloud infrastructure environment. Cloud administrators do not generally have the ability to restrict resource usage in existing clouds. Granting a user permission to create resources allows them to create any number of resources up to a predefined account limit. Compartment quotas allow admins to restrict a user's resource usage to the appropriate level allowing fine-tuned cost control.

Abstract: The present invention relates to pharmaceutical compositions of Eliglustat. In particular the present invention relates to stable amorphous Eliglustat premix having enhanced stability and dissolution properties. The present invention also provide a stable premix composition comprising amorphous Eliglustat or a pharmaceutical acceptable salt thereof, pharmaceutical compositions comprising the premixes, and processes for preparing the same. The compositions prepared in the present invention includes sublingual or mouth dissolving tablets, and capsules of Eliglustat and/or its pharmaceutically acceptable salts thereof and at least one pharmaceutically acceptable carrier.

Abstract: A system or method for monitoring an electric power lightning arrester including an arrester current sensor providing an arrester current measurement, and an arrester voltage sensor providing an arrester voltage measurement. The system detects a switching signature based on the arrester current measurement or the arrester voltage measurement distinguished from background noise and lightning signatures and computes a measured arrester impedance based on the arrester current and arrester voltage measurements. The system then compares the measured arrester impedance to a nominal or historical arrester impedance, determines that the arrester is faltering based on the comparison of the measured arrester impedance to the nominal or historical arrester impedance, and places an order for replacement of the arrester based on the determination that the arrester is faltering.

Abstract: An illustrative storage management appliance is interposed between client computing devices and one or more cloud storage resources. The appliance uses cloud storage resources in conjunction with a network attached storage device configured within the appliance to provide to the client computing devices seemingly unlimited network attached storage on respective network shares. The storage management appliance monitors data objects on the network shares and when a data object meets one or more criteria for archiving, the storage management appliance archives the data object to a cloud storage resource and replaces it with a stub and preview image on the network share. When access to the stub and/or preview image is detected, the storage management appliance restores the data object from the cloud storage resource. The criteria for archiving flexibly allow individual data objects to be archived to cloud storage without archiving frequently-accessed “neighboring” data objects on the same network share.

Abstract: Systems, apparatuses and methods include technology that identifies first data that is autonomously generated, where the first data is associated with a first source. The technology may further determine that the first data is to be marked with an indication that the first data is associated with the first source, generate an identifier associated with the first data based on the first data being determined to be marked, where the identifier indicates that the first data is associated with the first source, and store the identifier to an entry in a storage that is remotely accessible.

Abstract: An aerosol delivery device includes at least one housing retaining an aerosol precursor composition, an atomizer, a microprocessor configured to operate in an active mode in which a control body of the aerosol delivery device is configured to control the atomizer to activate and produce an aerosol from the aerosol precursor composition, and a heart rate monitor configured to obtain biopotential measurements from a user, the biopotential measurements forming an identifier of the user. The microprocessor is operably coupled with the heart rate monitor and is configured to perform a biometric authentication of the user based on the identifier, and to control operation of at least one functional element of the aerosol delivery device based on the biopotential measurements, the controlling operation of at least one functional element including communicating a notification to a computing device when the biometric authentication fails to verify the user is an authorized user.

Abstract: Systems, methods, and other embodiments described relate to estimating a traffic pattern using learning models that process data from road sensors that are sparse. In one embodiment, a method includes forming multi-channel data from partial data and timing data about traffic on a road, the partial data acquired from road sensors. The method also includes generating an adjacency matrix from the partial data and geometry about the road. The method also includes training a graph model using temporal patterns for graph nodes from the multi-channel data and the adjacency matrix to complete the partial data and output a traffic pattern estimate.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by generating a hybrid class for a multi-party communication transcript data object associated with a predictive entity utilizing a hybrid space classification machine learning model, generating a machine learning-based risk score utilizing a hybrid-class-based risk scoring machine learning model, and generating a hierarchical-workflow risk score using a hierarchical risk score adjustment workflow.

Abstract: An apparatus to facilitate provenance audit trails for microservices architectures is disclosed. The apparatus includes one or more processors to obtain provenance metadata for a microservice from a local blockchain of provenance metadata maintained for the hardware resource executing a task performed by the microservice, the provenance metadata comprising identification of the microservice, operating state of at least one of a hardware resource or a software resource used to execute the microservice and the task, and an operating state of a sidecar of the microservice during the task; access one or more policies established for the microservice; analyze the provenance metadata with respect to the one or more policies to identify if there is a violation of the one or more policies; and generate one or more evaluation metrics based on whether the violation of the one or more policies is identified.

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: A formation treatment fluid may include a wettability alteration agent, a solvent, an injection gas, and an optional foaming agent. The wettability alteration agent may include a fluorinated surfactant, a silicon-based surfactant, charged nanoparticles partially modified with fluorine containing groups, or combinations thereof. Methods for altering a hydrocarbon-bearing reservoir surface wettability may include providing the formation treatment fluid, injecting the formation treatment fluid into the hydrocarbon-bearing reservoir, and recovering fluids produced from the hydrocarbon-bearing reservoir.

Abstract: An apparatus configured to decode video data includes a shared memory and one or more processors configured to execute a plurality of video decoding cores. At least one of the plurality of video decoding cores in communication with the shared memory, and each of plurality of video decoding cores are configured to track completion of decoding samples of one or more regions of a frame of video data, write information to the shared memory, the information indicative of the completion of decoding the samples of the one or more regions of the frame of video data, read, prior to decoding a subsequent region of the frame of video data, the information in the shared memory, and determine whether to decode the subsequent region of the frame of video data based on the information.

Abstract: Provided, in one aspect, is a cementing apparatus. The cementing apparatus, in one embodiment comprising a housing; a fixed member coupled with the housing, the fixed member having at least one fixed member fluid opening therein; and a moving member positioned downhole of the fixed member and movable between a circulating position and a cemented position, the moving member having at least one moving member fluid opening therein, the at least one moving member fluid opening linearly offset from the at least one fixed member fluid opening.

Abstract: Embodiments of the present disclosure relate to small data transmission (SDT). In the embodiments, a distributed unit (DU) of a network device determines that data for small data transmission (SDT), from a terminal device comprises data for at least one signaling radio bearer (SRB), without comprising data for a data radio bearer, DRB. The DU transmits, to a control plane (CP) of a central unit (CU) of the network device, an indication that the data for SDT is associated with the at least one SRB, and without being associated with a DRB. In this way, the SDT can be optimized.

Abstract: A coated cathode material including high-nickel lithium cathode and a method of producing the same by atomic layer deposition.

Abstract: Methods of forming a back side image sensor device, as well as back side image sensor devices formed, are disclosed. In one such a method, an image sensor wafer having a first dielectric layer with a first surface is obtained. A reconstituted wafer having a processor die and a second dielectric layer with a second surface is obtained. The reconstituted wafer and the image sensor wafer are bonded to one another including coupling the first surface of the first dielectric layer and the second surface of the second dielectric layer. In another method, such formation is for a processor die bonded to an image sensor wafer. In yet another method, such formation is for a processor die bonded to an image sensor die.

Abstract: The present invention relates to the discovery of miRNAs which can be isolated from the blood of neonates, especially the umbilical cord and/or placental blood of neonates which have been determined to be biomarkers for neonatal opioid withdrawal syndrome (NOWS). One or more of these biomarkers, often at least three in conjunction may be measured in the blood, preferably the cord or placental blood of neonates suspected of having opioid withdrawal syndrome and compared with a standard wherein the measurement of the one or more biomarkers evidences the presence of opioid syndrome in the neonate whose blood has been measured so that effective measures can be taken to treat, the withdrawal syndrome and inhibit, limit and/or reverse withdrawal syndrome in the neonate shortly after birth.

Abstract: According to various embodiments, a method of quickly and inexpensively forming a crystallographically-stable, highly durable, cobalt-free, lithium-substituted, lithium-rich metal oxide (S-LRMO) material is provided, where the element that is used to replace lithium is some combination of Na, K, Ca, and Mg, and is above the levels commonly thought of as doping. In some embodiments, a cathode active material comprising a lithium-substituted, lithium-rich metal oxide is provided. For example, in some embodiments, the cathode active material comprises a chemical formula Li[LixAyMz]Ob, where A comprises at least one of Na, K, Ca and/or Mg. In some embodiments, (x+y) is greater than 0 and less than 0.3, y>0.05, z=1?(x+y), M includes Mn and Ni, and b is greater than or equal to 1.8 and less than or equal to 2.2.

Abstract: Career coaching comprising defining a number of employment positions, wherein each employment position comprises a number of required skills. Relationships between the employment positions are modeled, wherein the model maps potential transitions between employment positions according to similarities of required skills. A number of persons who have occupied the employment positions are modeled according to skills, employment history, and job performance. A user provides user data that comprises skills, employment history, and job performance. The user data is compared to the modeled persons, and a number of potential employment opportunities from among the number of employment positions are matched to the user based on similarities between the user and the modeled persons. The potential employment opportunities are then displayed to the user on a graphical user interface.