Abstract: In some implementations, a first network device may communicate, with a second network device, one or more internet key exchange (IKE) messages to exchange a first identifier associated with the first network device and a second identifier associated with the second network device, and to indicate that a post-quantum preshared key (PPK) is to be used as a shared key for an IKE security association (SA) between the first network device and the second network device. The first network device may obtain, from a key management entity (KME), a quantum key based on providing the second identifier to the KME, wherein the PPK is based on the quantum key. The first network device may communicate, with the second network device, one or more IKE authentication messages to exchange a third identifier associated with the quantum key and to confirm that the second network device successfully obtained the PPK.

Abstract: The present disclosure provides a method for synthesizing spherical copper powder and the copper powder obtained therefrom. The method includes mixing a copper oxide powder with a carbon source to obtain a mixture; heating the mixture at a temperature of 600-1070° C. for a period of more than 20 minutes in an inert atmosphere to obtain spherical copper powder; and separating the spherical copper powder from carbon to obtain pure spherical copper powder. The present method is a single step process where a precursor copper oxide powder is reduced and spherodized simultaneously to provide spherical copper powder. Spherical copper powders provided by the present methods are dense and spherical and have a mean particle size of less than 250 microns, purity of at least 98.5% by weight of copper, and an oxygen content of less than 0.25% by weight.

Abstract: A method for monitoring operation or status of an electrical submersible pump (ESP) is provided, which includes a) collecting historical time-series data related to ESP operation: b) extracting historical time-series data related to healthy ESP operation from the historical time-series data of a): c) extracting feature data from the historical time-series data extracted in b); d) extracting or calculating values of at least one key performance indicator (KPI) related to healthy ESP operation from the historical times-series data extracted in b): c) using the feature data of c) and the values of at least one KPI of d) to train a machine learning (ML) model to predict at least one target KPI related to healthy ESP operation given feature data as input; and f) using the ML model trained in c) to monitor operation or status of the ESP. Other aspects are described and claimed.

Abstract: Aspects described herein may relate to methods, systems, and apparatuses that partitions searchable content and distributes the segments across a plurality of processing nodes, which in turn further sub-partitions the partitions for processing by local search actor in order to increase the speed with which a search request from a user is processed. Processing nodes available to receive partitioned searchable content are registered with an external storage device. The external storage device also maintains a global results collector that compiles results from the partitions of searchable content. Respective local collector actors receive compiled results from local search actors for a processing node and the compiled results are sent to the global results collector for compiling for the plurality of processing nodes. Results of the user search request are then provided to the user.

Abstract: A network device identifies an Internet Protocol Security (IPsec) tunnel that connects the network device to a remote device and determines that dead peer detection (DPD) is enabled at the network device. The network device receives a first DPD request message from the remote device via the IPsec tunnel, and sends a first DPD response message to the remote device via the IPsec tunnel. The network device determines that a workload of the network device satisfies a threshold amount, and sends one or more encapsulating security payload (ESP) packets that include traffic flow confidentiality (TFC) payload data to the remote device via the IPsec tunnel. The network device determines that the workload of the network device does not satisfy the threshold amount. The network device receives a second DPD request message from the remote device and sends a second DPD response message to the remote device via the IPsec tunnel.

Abstract: Aspects described herein may relate to methods, systems, and apparatuses that partitions searchable content and distributes the segments across a plurality of processing nodes, which in turn further sub-partitions the partitions for processing by local search actor in order to increase the speed with which a search request from a user is processed. Processing nodes available to receive partitioned searchable content are registered with an external storage device. The external storage device also maintains a global results collector that compiles results from the partitions of searchable content. Respective local collector actors receive compiled results from local search actors for a processing node and the compiled results are sent to the global results collector for compiling for the plurality of processing nodes. Results of the user search request are then provided to the user.

Abstract: Techniques are described for tuning a Java Virtual Machine (JVM) in an automated manner. The automated tuning may be performed to improve a JVM's performance including to prevent it from failing. An auto-tuning system is described that can auto-detect one or more anomalous conditions for a JVM, and in response, take one or more corrective actions to auto-tune the JVM to avoid or reduce/mitigate any adverse impacts of the detected anomalous conditions. A corrective action taken for a JVM may include changing one or more parameters associated with the JVM.

Abstract: A method can include receiving real-time, time series data from equipment at a wellsite that includes a wellbore in contact with a fluid reservoir; processing the time series data as input to a trained machine learning model to predict a future solids event related to influx of solids into the wellbore from the fluid reservoir; and outputting a time of the future solids event.

Abstract: A platform providing methods and systems for prevention and/or treatment of a health condition, where a method can include: simultaneously reducing severity symptoms of the health condition and comorbid conditions upon: receiving a set of samples from one or more subjects; receiving a biometric dataset from one or more subjects; receiving a lifestyle dataset from one or more subjects; returning a genomic single nucleotide polymorphism (SNP) profile and a baseline microbiome state upon processing the set of samples, the biometric dataset, and the lifestyle dataset with a set of transformation operations; generating personalized intervention plans for the one or more subjects upon processing the genomic SNP profile and the baseline microbiome state with a multi-omic model; and executing the personalized intervention plans for the one or more subjects.

Abstract: A platform providing methods and systems for prevention and/or treatment of a health condition, where a method can include: simultaneously reducing severity symptoms of the health condition and comorbid conditions upon: receiving a set of samples from one or more subjects; receiving a biometric dataset from one or more subjects; receiving a lifestyle dataset from one or more subjects; returning a genomic single nucleotide polymorphism (SNP) profile and a baseline microbiome state upon processing the set of samples, the biometric dataset, and the lifestyle dataset with a set of transformation operations; generating personalized intervention plans for the one or more subjects upon processing the genomic SNP profile and the baseline microbiome state with a multi-omic model; and executing the personalized intervention plans for the one or more subjects.

Abstract: Techniques are described for tuning a Java Virtual Machine (JVM) in an automated manner. The automated tuning may be performed to improve a JVM's performance including to prevent it from failing. An auto-tuning system is described that can auto-detect one or more anomalous conditions for a JVM, and in response, take one or more corrective actions to auto-tune the JVM to avoid or reduce/mitigate any adverse impacts of the detected anomalous conditions. A corrective action taken for a JVM may include changing one or more parameters associated with the JVM.

Abstract: In some implementations, a first network device may communicate, with a second network device, one or more internet key exchange (IKE) messages to exchange a first identifier associated with the first network device and a second identifier associated with the second network device, and to indicate that a post-quantum preshared key (PPK) is to be used as a shared key for an IKE security association (SA) between the first network device and the second network device. The first network device may obtain, from a key management entity (KME), a quantum key based on providing the second identifier to the KME, wherein the PPK is based on the quantum key. The first network device may communicate, with the second network device, one or more IKE authentication messages to exchange a third identifier associated with the quantum key and to confirm that the second network device successfully obtained the PPK.

Abstract: A platform providing methods and systems for prevention and/or treatment of a health condition (e.g., mental health condition and/or weight-related condition), where a method can include: simultaneously reducing severity symptoms of the health condition and comorbid conditions upon: receiving a set of samples from one or more subjects; receiving a biometric dataset from one or more subjects; receiving a lifestyle dataset from one or more subjects; returning a genomic single nucleotide polymorphism (SNP) profile and a baseline microbiome state upon processing the set of samples, the biometric dataset, and the lifestyle dataset with a set of transformation operations; generating personalized intervention plans for the one or more subjects upon processing the genomic SNP profile and the baseline microbiome state with a multi-omic model; and executing the personalized intervention plans for the one or more subjects.

Abstract: In some implementations, a first network device may communicate, with a second network device, one or more internet key exchange (IKE) messages to exchange a first identifier associated with the first network device and a second identifier associated with the second network device, and to indicate that a post-quantum preshared key (PPK) is to be used as a shared key for an IKE security association (SA) between the first network device and the second network device. The first network device may obtain, from a key management entity (KME), a quantum key based on providing the second identifier to the KME, wherein the PPK is based on the quantum key. The first network device may communicate, with the second network device, one or more IKE authentication messages to exchange a third identifier associated with the quantum key and to confirm that the second network device successfully obtained the PPK.

Abstract: Aspects described herein may relate to methods, systems, and apparatuses that partitions searchable content and distributes the segments across a plurality of processing nodes, which in turn further sub-partitions the partitions for processing by local search actor in order to increase the speed with which a search request from a user is processed. Processing nodes available to receive partitioned searchable content are registered with an external storage device. The external storage device also maintains a global results collector that compiles results from the partitions of searchable content. Respective local collector actors receive compiled results from local search actors for a processing node and the compiled results are sent to the global results collector for compiling for the plurality of processing nodes. Results of the user search request are then provided to the user.

Abstract: In some implementations, a first network device may communicate, with a second network device, one or more internet key exchange (IKE) messages to exchange a first identifier associated with the first network device and a second identifier associated with the second network device, and to indicate that a post-quantum preshared key (PPK) is to be used as a shared key for an IKE security association (SA) between the first network device and the second network device. The first network device may obtain, from a key management entity (KME), a quantum key based on providing the second identifier to the KME, wherein the PPK is based on the quantum key. The first network device may communicate, with the second network device, one or more IKE authentication messages to exchange a third identifier associated with the quantum key and to confirm that the second network device successfully obtained the PPK.

Abstract: Provided is a method for virtually executing an operation of an energy dispersive x-ray spectrometry (EDS) system in real time production line by analyzing a defect included in a material undergoing inspection based on computer vision, the method including receiving a scanning electron microscope (SEM) image of the material including the defect, extracting an image-feature from the SEM image of the material, classifying the extracted image-feature under a predetermined label, predicting, based on the classified image-feature, an element associated with the defect included in the material and a shape of the predicted element, and grading the defect included in the material based on comparing the predicted element with a predetermined criteria.

Abstract: Aspects described herein may relate to methods, systems, and apparatuses that partitions searchable content and distributes the segments across a plurality of processing nodes, which in turn further sub-partitions the partitions for processing by local search actor in order to increase the speed with which a search request from a user is processed. Processing nodes available to receive partitioned searchable content are registered with an external storage device. The external storage device also maintains a global results collector that compiles results from the partitions of searchable content. Respective local collector actors receive compiled results from local search actors for a processing node and the compiled results are sent to the global results collector for compiling for the plurality of processing nodes. Results of the user search request are then provided to the user.

Abstract: A platform providing methods and systems for prevention and/or treatment of a health condition, where a method can include: simultaneously reducing severity symptoms of the health condition and comorbid conditions upon: receiving a set of samples from one or more subjects; receiving a biometric dataset from one or more subjects; receiving a lifestyle dataset from one or more subjects; returning a genomic single nucleotide polymorphism (SNP) profile and a baseline microbiome state upon processing the set of samples, the biometric dataset, and the lifestyle dataset with a set of transformation operations; generating personalized intervention plans for the one or more subjects upon processing the genomic SNP profile and the baseline microbiome state with a multi-omic model; and executing the personalized intervention plans for the one or more subjects.

Abstract: A platform providing methods and systems for prevention and/or treatment of a health condition, where a method can include: simultaneously reducing severity symptoms of the health condition and comorbid conditions upon: receiving a set of samples from one or more subjects; receiving a biometric dataset from one or more subjects; receiving a lifestyle dataset from one or more subjects; returning a genomic single nucleotide polymorphism (SNP) profile and a baseline microbiome state upon processing the set of samples, the biometric dataset, and the lifestyle dataset with a set of transformation operations; generating personalized intervention plans for the one or more subjects upon processing the genomic SNP profile and the baseline microbiome state with a multi-omic model; and executing the personalized intervention plans for the one or more subjects.