Abstract: A method and a system comprising: disposing a bottom hole assembly (BHA) into a wellbore, wherein the BHA comprises a measurement assembly; acquiring one or more measurements with the measurement assembly; acquiring historical data from the wellbore; extracting relevant information from the historical data; training a machine learning (ML) model with the relevant information to form a trained ML model; and providing an answer to a question utilizing the trained ML model.

Abstract: Accurate real-time monitoring of distribution networks becomes increasingly pivotal to ensure reliable and optimal operation of grid. Existing joint parameter-state estimation techniques predominantly focus on transmission systems, making their applicability to distribution systems challenging due to variations in available input data. Furthermore, the joint estimation techniques significantly suffer from computational complexity. Present disclosure provides a method and a system for personalized multi-subject text to image generation. The system first uses lossy Distflow equations and an inverse Physics-Informed Neural Network (iPINN) architecture for learning network voltage dynamics, drift matrix and network bus voltages from real-time bus power injection data and historical voltage data. Thereafter, the system determines a plurality of line parameters from the learnt drift matrix using a least-square optimization technique.

Abstract: Aspects of the subject disclosure may include, for example, a device, including: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: determining a network topology in a fiber optic network, wherein the network topology comprises a plurality of network elements joined by fiber optic links; selecting parameter values of a set of parameters for a channel between a first network element and a second network element in the plurality of network elements; applying the parameter values to create parameterized dense wavelength division multiplexing (DWDM) signals between the first network element and the second network element; responsive to the applying the parameter values, determining characteristics of the channel in the fiber optic network; repeating the selecting and applying of the parameter values to determine the characteristics of the channel using different selected parameter values

Abstract: A method is disclosed. The method includes receiving, by a token service computer, a request to obtain a token, and then obtaining the token. The method also includes receiving a request to activate the token, after the token is used to conduct a transaction.

Abstract: Methods and systems are described herein for enabling permissible interactions with applications shared during communication sessions. The system may detect, by a communication application on a first device during a communication session, activation of a sharing function on a second device. The sharing function may enable sharing of a shared application via the communication application. The system may determine one or more permissible interactions for the first device to perform with one or more portions of the shared application. Based on user input received by the first device, the system may detect an interaction with a portion of the shared application. The system may determine whether the interaction is a permissible interaction for the shared application. In response to determining that the interaction is permissible, the system may perform an action on the portion of the shared application on the first device.

Abstract: A system and method for taking measurements in a formation. The system may include a quantum entangled photon source that entangles an idler particle and a probe particle, a transmitter disposed in a wellbore and connected to the quantum entangled photon source by a transmitter waveguide, a receiver disposed in the wellbore, and a carrier laser connected to the receiver by a carrier waveguide. The system may further comprise a detector connected to the carrier waveguide and an information handling system in communication with the quantum entangled photon source, the carrier laser, and the detector. The method may include broadcasting a probe particle from a transmitter into a formation, capturing the probe particle with at least one receiver after the probe particle has interacted with the formation, and measuring the probe particle during an interaction with the formation using an idler particle in a detector.

Abstract: Systems and methods for a shared common microservice. In some aspects, the system may receive a domain model. The domain model may include a resource module and a service module. The system may receive, from a user device, a first request. The first request may include a first set of resources and a first task to be completed. The system may retrieve, from the domain model, a required set of resources corresponding to the first set of resources that a first API requires access to complete the first task. Based on the required set of resources from the domain model, the system may generate a template for the first API. Based on the template, the system may generate a first endpoint for the first API. The system may deploy the first endpoint. The first API accesses one or more microservice functions at the execution of the first task.

Abstract: Systems and methods for downhole drilling and, more particularly, hydraulic control systems and methods for hydraulically locking and unlocking moveable elements of a drill bit are provided. A drill bit may include a body; a moveable element secured to the body, wherein the moveable element is configured to extend or retract from a surface of the drill bit; a communication channel from the moveable element to a bore in the body; and a hydraulic control system at least partially disposed in the body, wherein the hydraulic control system is configured to at least provide fluid communication from the bore to the communication channel to thereby lock or unlock the moveable element.

Abstract: Methods and systems are described herein for assessing status changes caused by modifications to software applications. The system may identify a status associated with an application. For example, the status may be based on a first length of time that the application is inactive based on a current number of vulnerabilities. The system may detect a modification of a component of the application and may determine, using a machine learning model, a predicted number of vulnerabilities introduced into the application by the modification. The system may identify an updated status associated with the application based on the predicted number of vulnerabilities. The system may determine a difference between the status and the updated status and based on the difference, may cause the modification to cease.

Abstract: A method and system for measuring health in a rotary steerable system (RSS). The method may include forming a bottom-hole assembly (BHA) model, taking a bending moment on bit (BOB) measurement from a sensor disposed in a BHA, and comparing the BOB measurement to the BHA model to determine if a steering actuator is malfunctioning, wherein the steering actuator is disposed on the BHA. The system may include at least one sensor disposed on the BHA, wherein the at least one sensor takes at least one bending moment on bit (BOB) measurement. Further, the system may include a plurality of steering actuators disposed on the BHA and an information handling system in communication with the BHA.

Abstract: A hydraulic fracturing system includes a pump, an electrically powered motor for driving the pump, a trailer on which the pump and motor are mounted, and a transformer that steps down electricity for use by the motor. Electrical output from the transformer connects to a series of receptacles mounted onto a housing around the transformer. A similar set of receptacles is provided on the trailer and which are electrically connected to the motor. Power cables equipped with plugs on their opposing ends insert into the receptacles to close an electrical circuit between the transformer and pump.

Abstract: Systems and methods are disclosed herein for generating updated descriptions of items based on analyzing candidate embeddings of semantic representations of item descriptions. The system may obtain a text file describing an item. The system may provide the text file to a generative language model to generate semantic representations of the text file. The system may generate, based on the text file, candidate embeddings in an embedding space. The system may obtain embeddings associated with existing items. The system may determine subsets of the embeddings within a threshold distance. The system may compare the subsets. The system may determine attributes associated with a candidate embedding based on the comparison. The system may generate an updated text file based on the attributes.

Abstract: An electrically heated aerosol-generating device includes a main housing having a cavity, a closure body engageable with the main housing to enclose a cartridge in the cavity, and a heater assembly. The heater assembly includes an elongate piercing assembly configured to extend into the open-ended passage of the cartridge and one or more electric heaters. The piercing assembly has a first hollow shaft portion connected to the main housing and a second hollow shaft portion connected to the closure body. The first and second hollow shaft portions have first and second piercing surfaces configured to breakthrough first and second frangible seals when the cartridge is enclosed in the cavity.

Abstract: Existing approaches for distributing data processing across nodes in a distributed computing environment, based on left over memory with each node, have the disadvantage that they require block placement to be done by a user. Embodiments disclosed herein provide a method and system for optimal placement of transformer model blocks across worker nodes. The system determines left over memory at each of a plurality of worker nodes. Further, based on the left over memory and size of transformer model blocks, the system prioritizes the worker nodes, and accordingly allocates the transformer blocks across the worker nodes.

Abstract: A modular data integration system comprising a server system configured to ingest a plurality of data object from a plurality of data sources into a data lake, data warehouse, or both according to business use-cases for a plurality of data consumers. The business use-cases allow the modular data integration system to ingest data objects through independent data channels which meet the requirements of a business purpose and conform with a service level agreement.

Abstract: A modular data center and a method of building a modular data center. The modular data center includes a site microgrid including at least one power converter connected to a direct current (DC) bus and a digital power system. The digital power system includes at least one digital power transmitter, a set of transmission lines, and at least one digital power receiver. The modular data center design uses an adiabatic cooling system to cool the modular data center.

Abstract: Various implementations described herein are directed to a load bearing ledger fitting, a modular header beam, a perimeter safety deck, a multi-purpose bearing plate, and a mega-shore bearing plate of an integrated construction system.

Abstract: Methods, systems, and computer program products for learning continuous embedding space of real time payment (RTP) transactions are provided. A method may include receiving RTP data including a plurality of attributes, including a sender and a receiver. One attribute is selected as a target attribute. The remaining attributes are input into a first machine learning model (e.g., NLP model), comprising at least one embedding layer and one hidden layer, which is trained to predict the target attribute. After the model is trained, each of the remaining attributes are converted to a first vector using the at least one embedding layer of the machine learning model to form a first set of vectors. The first set of vectors are stored and subsequently input into a second machine learning model to perform at least one second task different than the first task.

Abstract: Provided is a method for setting a downhole tool, and a downhole tool, and a well system employing the same. The method, in at least one aspect, includes positioning a downhole tool within a wellbore, the downhole tool including expandable metal configured to expand in response to hydrolysis, and subjecting the expandable metal to a wellbore fluid to expand the expandable metal into contact with one or more surfaces. The method, in at least one aspect, further includes applying a voltage to the expandable metal while the expandable metal is being subjected to the wellbore fluid.

Abstract: A data analytics system is disclosed that can include a data repository configured to store data for multiple clients, a metadata repository separate from the data store, an access control system, and a policy store. The data analytics system can automatically generate metadata for data in the data repository using a metadata engine, the metadata including technical metadata and usage metadata, and store the metadata in the metadata repository. The data analytics system can obtain a client policy governing access to the data. The data analytics system can receive a request to provide the data, the request including instructions to create a pipeline to provide the data. The data analytics system can authorize, by the access control system, the request using the policy and usage metadata; create the pipeline using the technical metadata; and provide the data using the pipeline.