Abstract: The invention comprises a meal manager system/apparatus using an artificial intelligence system trained to create a USDA compliant school breakfast/lunch menu. Optionally, the meal manager separately and/or additionally assesses actual nutrient delivered to the students by assessing, with an intelligent system, waste left on a student tray at time of disposal.

Abstract: Optimal pod management is provided. A pod-warm component located on a host node is directed to trigger generation of a pod snapshot image of a pod in an optimal state running on the host node in response to determining that the pod has attained the optimal state. An input is received to instantiate a second instance of the pod on the host node in response to detecting that one or more of a plurality of pod performance metrics have exceeded a corresponding maximum pod performance metric threshold level. The pod-warm component located on the host node is directed to instantiate the second instance of the pod fully warm in the optimal state on the host node using the pod snapshot image of the pod to decrease startup time of the pod and increase performance of the host node.

Abstract: The present disclosure relates generally to methods of preparing glycoconjugates containing a saccharide conjugated to a carrier protein by use of stable nitroxyl radical related agent/oxidant as an oxidizing agent, to immunogenic compositions comprising such glycoconjugates, and to methods for the use of such glycoconjugates and immunogenic compositions.

Abstract: A method, computer program product, and computer system for upgrading, by a computing device, a plurality of storage appliances in a cluster, wherein the storage appliance cluster may include at least a primary storage appliance and a secondary storage appliance. It may be determined that an upgrade to a plurality of storage appliances in a cluster has completed. Distributed data may be queried for each storage appliance in the cluster based upon, at least in part, determining that the upgrade to the plurality of storage appliances in the cluster has completed. Data stored in a management database in the primary storage appliance and data stored locally in the secondary storage appliance may be combined based upon, at least in part, querying the distributed data for each storage appliance in the cluster.

Abstract: In various examples, systems and methods are disclosed relating to using machine learning models to generate small molecules with desired structural or physicochemical properties with high sampling efficiency. In some implementations, one or more processors receive a data structure representing a first small molecule and encode the data structure into a latent distribution of a fixed size using a machine learning model, thereby determining an encoded representation of the data structure. To generate new molecules with similar properties to the first small molecule, the processors apply noise to the encoded representation to determine a modified encoded representation. The modified encoded representation is decoded to determine a modified data structure representing a second small molecule different from the first small molecule.

Abstract: Methods for processing a hydrocarbon feedstock may include cracking at least a portion of the hydrocarbon feedstock by contacting the hydrocarbon feedstock with a modified zeolite in the presence of hydrogen to form an intermediate cracked product and steam cracking at least a portion of the intermediate cracked product to form a steam cracked product. The intermediate cracked product may include at least 30 wt. % of one or more linear alkanes. The modified zeolite may include a microporous framework. The microporous framework may include at least silicon atoms and oxygen atoms. The modified zeolite also includes a plurality of Group 4-6 metal atoms each bonded to four bridging oxygen atoms, wherein each of the bridging oxygen atoms bonded to the Group 4-6 metal atoms bridges one of the plurality of the Group 4-6 metal atoms and a silicon atom of the microporous framework.

Abstract: One embodiment of the invention provides a method for reverse proxy inspection (RPI) of encrypted traffic in an edge-based network. The method comprises sharing a first certificate from an RPI instance to an edge-based network gateway. The first certificate is issued to the RPI instance. The method further comprises receiving, at the RPI instance, an encrypted message with an initial layer of encryption and a subsequent layer of encryption. The initial layer is encrypted using a second certificate issued to an edge-based network device. The subsequent layer is encrypted using the first certificate. The method further comprises, at the RPI instance, authenticating the first certificate, and decrypting the subsequent layer using the first certificate, resulting in the encrypted message with the initial layer intact. The method further comprises, at the RPI instance, inspecting the encrypted message, and forwarding the encrypted message to a centralized hub.

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 titanium atoms each bonded to four bridging oxygen atoms, wherein each of the bridging oxygen atoms bonded to the titanium atoms bridges one of the plurality of the titanium atoms and a silicon atom of the microporous framework.

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: A computer-implemented method, according to one embodiment, includes analyzing a deployment plan for an instance of Infrastructure as Code (IaC) code to identify a plurality of milestones of the deployment plan, and creating access policies for the identified milestones. The method further includes monitoring milestone state logs during an execution of the instance of IaC code for occurrence of predetermined milestone events. In response to a determination that a first of the predetermined milestone events has occurred, first user device access permissions are adjusted based on the created access policies. A computer program product, according to one embodiment, includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a processing circuit to cause the processing circuit to perform the foregoing method.

Abstract: A gas turbine engine includes a fan section having a plurality of fan blades, the fan section configured to generate an airflow through the gas turbine engine, an airflow passage having a core passage and a bypass passage separate from the core passage, a low-speed shaft coupled to and configured to rotate the plurality of fan blades, and a sensor assembly coupled to the gas turbine engine and configured to detect torsional vibration in the low-speed shaft. The sensor assembly includes a plurality of dynamic pressure sensors in the airflow passage. The plurality of dynamic pressure sensors detect a dynamic pressure of the airflow passage that is indicative of the torsional vibration in the low-speed shaft. A damping system is configured to dampen the torsional vibration in the low-speed shaft based on a correlation of a measured torsional vibration and an experimental torsional vibration.

Abstract: A turbine engine includes a rotor, a stator, and a seal assembly disposed between the rotor and the stator. The seal assembly includes seal segment. The seal segment includes a seal face that is configured to form a fluid bearing with the rotor. A lift channel extends within the seal segment from an opening on the seal face. The turbine engine further includes a spring assembly disposed within the lift channel. The spring assembly including a biasing element and a piston element coupled to the biasing element. The lift channel includes a lift volume portion extending is between the opening and the piston element. The piston element is movable within the lift channel based on a pressure within the fluid bearing to adjust a size of the lift volume portion.

Abstract: Embodiments provide artificial intelligence-based methods and systems for predicting account-level risk scores associated with cardholders. Method performed by server system includes accessing payment transaction data and cardholder risk data associated with cardholder. The payment transaction data includes transaction variables associated with past payment transactions performed at Point of Interaction (POI) terminals within a particular time window. Method includes generating cardholder profile data based on the transaction variables and the cardholder risk data. Method includes determining account-level risk scores associated with the cardholder based on cardholder profile data. Each account-level risk score of account-level risk scores is determined by a trained machine learning model. The account-level risk scores include a wallet reload risk score, an account reissuance risk score, and a transaction channel risk score.

Abstract: Systems and methods are described for the chained execution of a set of code in an on-demand network code execution system. A user may provide a set of code for execution in the on-demand network code execution system and the system may determine that the set of code comprises multiple chained tasks. The system may provide the set of code to a first virtual machine instance for execution of a first task. The system may obtain an indication that the first task has been executed. The results of the execution of the first task may be sent to a second virtual machine instance, via a push or pull, for execution of a second task. Based on identifying that the first task has been executed, the system may instruct the second virtual machine instance to execute the second task.

Abstract: Aspects of the present invention monitor at least one microservice within a container module for a failure; collect logged data in response to the at least one microservice having the failure; check the logged data to determine that an existing tree is not built for the logged data; perform telemetry tracing on the at least one microservice in response to the existing tree not being built for the logged data; collect logged tracing data based on performing the telemetry tracing on the at least one microservice; visualize an actual flow of the collected logged tracing data; and fix the at least one microservice based on the visualized actual flow the collected logged tracing data.

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: A method may be disclosed in accordance with some embodiments, comprising: receiving, at a virtualizing gateway, a first service request from a first user equipment (UE) via a first eNodeB; creating, at the virtualizing gateway, an association from each of a plurality of UE identifiers to a desired core network; applying, at the virtualizing gateway, a first filter using a first UE identifier of the first UE, based on the association; forwarding, at the virtualizing gateway, based on the applied first filter, the first service request from the first UE to the first core network; receiving, at the virtualizing gateway, via a second eNodeB, a second service request from a second user equipment (UE); applying, at the virtualizing gateway, a second filter using a second UE identifier of the second UE, based on the association; and forwarding, at the virtualizing gateway, based on the applied second filter, the second service request from the second UE to the second core network.

Abstract: In described examples, a method of operating a system on chip (SoC) includes the following steps. Receive a component description that describes connections among circuit elements of the SoC. Receive a list of specified peripherals to activate while the SoC boots. Receive a hint data that describes a bypass mode clock frequency of a phase locked loop (PLL) of the SoC. Determine an operational data in response to the component description, the hint data, and the specified peripherals. The operational data specifies a subset of the circuit elements required to make the specified peripherals operational. Initialize, and limit the initializing, to the subset of the circuit elements.

Abstract: Systems and methods are described for execution of multiple tasks associated with a set of code in an on-demand network code execution system. A user may provide a set of code that is associated with the multiple tasks. The system may generate a first virtual machine instance for execution of a first task. The system may determine that a second task is associated with the first task and may identify a location of the first virtual machine instance. The system may further identify a second virtual machine instance for execution of the second task based on the location of the first virtual machine instance. For example, the system may identify the first virtual machine instance from a plurality of pre-generated virtual machine instances and/or may generate the first virtual machine instance.

Abstract: A technique of processing storage cluster performance metrics involves obtaining access to performance metrics from storage appliances of a storage cluster, the performance metrics identifying performance for storage objects managed by the storage appliances. The technique further involves, after access to the performance metrics is obtained, disregarding a duplicate set of performance metrics for a storage object that migrates from a first storage appliance of the storage cluster to a second storage appliance of the storage cluster. The technique further involves, after the duplicate set of performance metrics is disregarded, archiving the performance metrics to an archive. After archiving the performance metrics to the archive, the technique may provide a performance analysis based on the performance metrics from the archive as well as adjust operation of the storage cluster according to the performance analysis.