Abstract: A novel method of treating diseases characterized by high PAI-1 is presented. Administering a composition comprising a therapeutically effective amount of genistein was found to inhibit PAI-1 promotor activity and decrease PAI-1 levels to treat diseases such as asthma, which exhibit increased PAI-1 levels. Genotyping the patient can be performed prior to administration to detect a 4G/5G polymorphism as patients having a 4G genotype have better response to the genistein treatment. The composition may be comprised of a therapeutically effective amount of genistein derived naturally from soybeans or synthetically produced and optionally present in nanoparticle form.

Abstract: Modified zeolites may include a microporous framework including a plurality of micropores having diameters of less than or equal to 2 nm. The microporous framework may include at least silicon atoms and oxygen atoms. The modified zeolite may include a plurality of mesopores having diameters of greater than 2 nm and less than or equal to 50 nm, wherein the plurality of mesopores are ordered with cubic symmetry. The modified zeolite may include a plurality of hafnium hydride moieties each bonded to at least two bridging oxygen atoms, wherein a hafnium atom of the hafnium hydride is bonded to the bridging oxygen atom, and wherein the bridging oxygen atom bridges the hafnium atom of the hafnium hydride moiety and a silicon atom of the microporous framework.

Abstract: A system and method for hydraulic fracturing a subterranean formation with fracturing fluid to generate fractures, and intermittently adjusting a characteristic of the fracturing fluid conveying proppant to form pillars of proppant in the fractures.

Abstract: A method of operating a server is provided that includes providing, with the server, one or more services relating to network access control and management of a network, predicting a network configuration failure associated with the network with a failure prediction model, and generating a network configuration recommendation based on the predicted network configuration failure to avoid the predicted network configuration failure. The failure prediction model can be a machine-learning based network configuration failure prediction model that is trained on past network configuration failure events. Operated in this way, erroneous network configuration issues can be automatically identified and addressed in a timely fashion.

Abstract: A device access management server may facilitate secure access of a target device by an accessing device. The secure remote access of the target device by the accessing device may be facilitated by a public key infrastructure (PKI) certificate issued and/or validated by the device access management server.

Abstract: A method of operating a network is provided that includes identifying a plurality of client devices connected to the network, categorizing the client devices into respective client groups based on device characteristics of each of the client devices, analyzing traffic patterns among the client groups and assigning the client groups to respective network segments based on the observed traffic patterns, and generating one or more network access policy for at least one of the network segments based on the traffic patterns or baseline behavior associated with a portion of the client devices belonging to the at least one of the network segments.

Abstract: Methods, apparatus, and processor-readable storage media for automatically detecting data anomalies using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining data pertaining to multiple tasks associated with at least one enterprise; detecting one or more data anomalies by predicting one or more values within the obtained data by processing at least a portion of the obtained data using one or more artificial intelligence techniques, and comparing the one or more predicted values to one or more corresponding portions of the obtained data; generating one or more data recommendations associated with at least a portion of the one or more detected data anomalies; and performing one or more automated actions based at least in part on at least one of the one or more detected data anomalies and the one or more generated data recommendations.

Abstract: Provided is pharmaceutical composition for treating a pain disorder in a subject in need thereof, wherein the pharmaceutical composition includes a therapeutically active ingredient including an intranasally bioavailable CGRP inhibitor. Also provided is a method of treating a pain disorder in a subject in need thereof, wherein the method includes intranasally administering to the subject a composition including a therapeutically active component including an intranasally bioavailable CGRP inhibitor.

Abstract: A method of operating a server is provided that includes providing, with the server, one or more services relating to network access control and management of a network, predicting a failure of the server with a failure prediction model, and performing a remedial action to avoid disruption in the one or more services. The server can be a network access control and management server. The failure prediction model can be a machine-learning based server failure prediction model that is trained on past server failure events. Operated in this way, the server can operate with minimal network/server disruption so that service level agreements with various customers are maintained while reducing operational complexity.

Abstract: A device access management server may facilitate secure remote access of a target device by an accessing device. The secure remote access of the target device by the accessing device may be authenticated using a session token. The device access management server may maintain the session token and other session information.

Abstract: A method of operating a network is provided that includes receiving a query, using a first language model to determine an intent or purpose of the query, using a second language model to extract a named entity from the query, and obtaining search results by searching for the extracted named entity on a named entity list corresponding to a particular tenant. The method can further include generating a response based on the search results. The query can be a natural language query, and the first language model can be a natural language model. The second language model for extracting the named entity can be a network-related language model that is trained on network records associated with a plurality of tenants. The network records associated with the plurality of tenants can be stored on a multi-tenant database.

Abstract: A network management server may provide options via a user interface for configuring a network and a network policy for the network. The network management server may identify values for network attributes based on the user-selected option(s). The network management server may maintain network entity attribute information and use the network entity attribute information to populate the selectable options based on which conditions and/or actions for the network policy are defined.

Abstract: The present invention relates to compounds of formula (I), or their isotopic forms, stereoisomers, tautomers or pharmaceutically acceptable salt (s) thereof as muscarinic M1 receptor positive allosteric modulators (M1 PAMs). The present invention describes the methods of preparation, pharmaceutical composition, combinations and the use of compound formula (I), their stereoisomers, isotopic forms or pharmaceutically acceptable salts thereof.

Abstract: Solutions are disclosed that enable differentiated admission control for singular flows with bifurcated priorities in a wide area network (WAN). Examples include receiving a bandwidth request for each of a plurality of data flows, each request indicating a primary bandwidth request portion and a deferrable bandwidth request portion; aggregating the bandwidth requests for the plurality of data flows into an aggregate bandwidth request, the aggregate bandwidth request indicating a primary aggregate bandwidth request portion and a deferrable aggregate bandwidth request portion; determining, based on at least the aggregate bandwidth request, a granted primary aggregate bandwidth and a granted deferrable aggregate bandwidth; and based on at least the granted primary aggregate bandwidth and the granted deferrable aggregate bandwidth, allocating, for each bandwidth request for the plurality of data flows, a granted primary bandwidth and a granted deferrable bandwidth.

Abstract: A composition of matter is provided comprising hierarchically ordered crystalline microporous material having well-defined long-range mesoporous ordering of cubic symmetry. The composition possesses mesopores having walls of crystalline microporous material and a mass of mesostructure between mesopores of crystalline microporous material. Long-range ordering is defined by presence of secondary peaks in an X-ray diffraction (XRD) pattern and/or cubic symmetry observable by microscopy.

Abstract: A system and method for dynamically creating distributed, self-adjusting and optimizing core network with machine learning is disclosed. The method includes receiving a request to access one or more services and establishing a secure real time communication session with one or more client devices and a set of service layers based on the received request. The method further includes determining one or more service parameters based on the received request and sending one or more handshake messages to each of the set of service layers. Further, the method includes determining one or more environmental parameters and determining best possible service layer capable of processing the received request by using a trained service based ML model. The method includes processing the request at the determined best possible service layer and terminating or transferring the secure real time communication session after the request is processed.

Abstract: A three-dimensional memory array may include a first memory array and a second memory array, stacked above the first. Some memory cells of the first array may be coupled to a first layer selector transistor, while some memory cells of the second array may be coupled to a second layer selector transistor. The first and second layer selector transistor may be coupled to one another and to a peripheral circuit that controls operation of the first and/or second memory arrays. A different layer selector transistor may be used for each row of memory cells of a given memory array and/or for each column of memory cells of a given memory array. Such designs may allow increasing density of memory cells in a memory array having a given footprint area, or, conversely, reducing the footprint area of the memory array with a given memory cell density.

Abstract: The present invention relates to new immunogenic compositions comprising conjugated Streptococcus pneumoniae capsular saccharide antigens (glycoconjugates) and uses thereof. Immunogenic compositions of the present invention will typically comprise at least one glycoconjugate from a S. pneumoniae serotype not found in PREVNAR®, SYNFLORIX® and/or PREVNAR 13®. The invention also relates to vaccination of human subjects, in particular infants and elderly, against pneumococcal infections using said novel immunogenic compositions.

Abstract: Described is a polymer-based well tracer. The polymer-based well tracer is a fluoropolymer having a fluorinated group. The fluoropolymer may be formed into a particle, a coating for proppant particulates, or encapsulated in a polymeric resin. Upon degradation or hydrolysis of the fluoropolymer, the fluorinated group having a fluorinated compound is released within the well.

Abstract: Hybrid edge computing that includes a nimble framework that identifies services for available in a marketplace. The nimble framework defines a location for computing the services selected from the group consisting of a center server, an edge provision server and an edge node. The hybrid edge computing further includes a third party provider making are request for a service to the nimble framework. The hybrid edge computing further includes a virtualized service being provided by the nimble framework to the third party provider including a matched service to the third party provider request for the service, and an optimal location for computing.