Abstract: A nested drill bit assembly is disclosed for drilling a wellbore, comprising a parent bit and at least one child bit nested within the parent bit. Each bit in the nested drill bit assembly may be driven by a respective casing that gets cemented in place as part of a drilling with casing system. The parent bit and child bit(s) may be rotated together, with the parent bit and child bit collectively defining a contiguous cutting profile for drilling an initial segment of the wellbore. A driver is then lowered into the casing for connection to the child bit to drill beyond the parent bit. The driver may be configured as a drive bit for drilling through material leftover from a cementing operation prior to connecting to the child bit.

Abstract: There is a need for solutions for more efficient predictive data analysis systems. This need can be addressed, for example, by a system configured to receive temporal inferences for a predictive task, where each temporal inference is associated with a temporal benchmark and the temporal benchmarks include a base temporal benchmark and supplemental temporal benchmarks; generate a cross-temporal prediction for the predictive task by applying one or more cross-temporal probabilistic updates to the base temporal inference, where each cross-temporal probabilistic update is associated with a supplemental temporal benchmark; and display the cross-temporal prediction using a cross-temporal prediction interface.

Abstract: A system for an adjustably flexible downhole tool includes first and second connector ends each configured to connect to adjacent downhole tools and a shaft extending between the first and second connector ends. The shaft is configured to bend in response to passing through curved portions of a wellbore. The adjustably flexible downhole tool also includes an outer sleeve disposed around at least a portion of the shaft and extending from the first connector end in a direction toward the second connector end and at least one adjustable member configured to move axially, with respect to the shaft, from a first position to a second position to increase bending stiffness and/or torsional stiffness of the adjustably flexible downhole tool. The at least one adjustable member at least partially restrains bending of the shaft in the second position.

Abstract: Systems, methods, articles of manufacture, and computer-readable media for determining specific terms to activate a contactless card. An application executing on a server may receive a request from a device specifying a uniform resource locator comprising encrypted data, the encrypted data based at least in part on a private key assigned to a contactless card. The application may decrypt the encrypted data and determine a type of the contactless card. The application may determine a plurality of terms associated with the type of the contactless card and transmit the terms to a web browser on the device. The application may receive, from the web browser, an indication specifying acceptance of the plurality of terms. The application may store, based on the decryption of the encrypted data and the received indication specifying acceptance of the terms, an indication in a database specifying the contactless card is activated for use.

Abstract: Disclosed is a system, method, and computer program product for determining solvency of a digital asset exchange system. The method includes identifying a plurality of blockchain addresses corresponding to a plurality of users of the digital asset exchange system, generating a first commitment to an amount of digital assets corresponding to the plurality of blockchain addresses, generating a second commitment to a balance of each user of the plurality of users, generating a first component of a zero-knowledge algorithm configured to receive, as input, the first commitment, and to output a value generated based on each public key, generating a second component of the zero-knowledge algorithm configured to receive, as input, the second commitment, and to output a value generated based on each user balance, and determining, with at least one processor, that the digital asset exchange system is solvent based on the zero-knowledge algorithm.

Abstract: A method includes deploying a logging tool in a borehole formed in a subsurface formation, the logging tool having a transmitter and a receiver, wherein a condition that is present during logging comprises at least one of a shape of the borehole is non-circular and the logging tool is off-center within the borehole. The method includes emitting, by the transmitter, a signal into subsurface formation and detecting, by the receiver, a response to the signal being propagated through the subsurface formation. The method includes creating, from the response, a borehole image that includes features in the subsurface formation and correcting the features, wherein correcting the features comprises mapping points of a non-circular shape in the borehole image into a plane substantially perpendicular to an axis of the borehole.

Abstract: An injector is configured to receive therein a cartridge containing a substance to be dispensed. The injector includes an injector housing and an injector door movably mounted to the injector housing between a fully closed position and a fully open position. The injector door is initially locked in an at least partially closed position preventing insertion of the cartridge into the injector. The injector further includes a controller configured to conduct an initial self-test on operability of at least one component of the injector. The self-test has a single pass or fail outcome, wherein the injector door is unlocked and enabled to be moved into the fully open position, to enable insertion of the cartridge into the injector, solely upon achievement of the self-test pass outcome.

Abstract: Methods, systems, and apparatuses are described herein for protecting user accounts using machine learning models. A machine learning model may be trained to determine whether account activity indicates a risk to credit scores. Account data, associated with a first financial account, may processed to determine whether the first financial account is associated with at least one underage user. A transaction request, associated with the first financial account, may be received. A history of transactions conducted by the first financial account may be retrieved. The trained machine learning model may be provided, as input, the transaction request and the history of transactions. An indication of risk to a credit score associated with the at least one underage user may be received as output from the trained machine learning model. A limitation may be added to the first financial account based on the indication of risk.

Abstract: A disclosed method an analysis computer determining a rolling window associated with interaction data for interactions that occur over time. The analysis computer can retrieve interaction data for interactions occurring in the rolling window. The analysis computer can then generate pseudo interaction data based upon historical interaction data. The analysis computer can optionally embed the interaction data for the interactions occurring within the rolling window and the pseudo interaction data to form interaction data matrices. The analysis computer can then form a neural network model using the interaction data matrices, which is derived from the interaction data in the rolling window and the pseudo interaction data.

Abstract: A method for efficiently storing and verifying records is disclosed. The method may comprise receiving a first hash of first interaction data and determining an interaction identifier associated with the first hash, then storing the first hash in a database along with the interaction identifier and determining a root hash of a hash tree. In addition, the method may also comprise providing the root hash of the hash tree to a public blockchain. Embodiments of the invention also allow users to easily present records to a third party or inquiring entity. Furthermore, interactions may be processed more quickly than previous blockchain methods that publish to a block during each individual interaction.

Abstract: Disclosed are approaches for enforcing requirements that documentation be up to date. In response to initiation of a build process for an application, a source-code file associated with the application is evaluated to determine an identifier and a location for a corresponding documentation file. A determination can be made regarding whether the documentation file exists at the location. Another determination can be made regarding whether each function specified in the source-code file has a corresponding entry in the documentation file. The build process can be halted in response to determining that at least one function specified in the source-code file fails to have the corresponding entry in the documentation file. If the build process is halted, a message can be displayed on the computing device, the message identifying the at least one function specified in the source-code file that fails to have the corresponding entry in the documentation file.

Abstract: Embodiments described herein disclose methods and systems for using more than one Recurrent Neural Network (RNN) to analyze a user input and to predict a request being made by the user as the user is inputting the request. In an embodiment, a first RNN and a second RNN can simultaneously or near simultaneously process the user requested information by separating and analyzing the characters and words in the user's request. A third RNN can process the output vectors generated by the first and second RNNs to identify one or more solutions that predict the user's request.

Abstract: Disclosed are various embodiments for searching encrypted data. A search query containing a plaintext key can be received from a client device or other application. A request can then be sent to a storage engine for a ciphertext key of a node of a binary tree, the node representing an encrypted key-value pair that includes the ciphertext key. The ciphertext key can be decrypted using a cryptographic key to generate a decrypted ciphertext key. Then, the decrypted ciphertext key can be compared to the plaintext key. A determination can then be made as to whether the encrypted key-value pair represented by the node of the binary tree satisfies the search query based at least in part on a comparison of the decrypted ciphertext key to the plaintext key.

Abstract: A method includes receiving a data capture event affecting personal data of a user stored in at least one storage device of a computing system and mapped in a privacy graph database. Personal data of the user may be identified in the data capture event and classified into the data categories. In response to the data capture event, a mapping of user-centric nodes associated with the at least one user associated with other users in the privacy graph database is automatically updated using the classified personal data in the data capture event. A request by a requester for personal data of at least one specific user stored in the at least one storage device is received. The privacy graph database is queried to provide the requested personal data and locations of the requested personal data of the at least one specific user in the request stored in the computing system.

Abstract: This disclosure relates generally to a system and method for shoulder proprioceptive analysis of the person. The present disclosure monitors the shoulder joint motion by quantitative measure of range of motion (ROM) and kinesthesia of shoulder using a smart watch, thereby assessing the limit of active motion and the ability to passively reposition the arm in space. The present disclosure estimates the ROM, velocity, quality of joint movement, direction of hand movement using the sensor data captured by the smart watch. Further, the present disclosure provides a performance metrics of the shoulder function by comparing the shoulder motion before and after a prosthesis procedure. The present disclosure implements a rule engine-based approach classifying the shoulder/arm movement which includes flexion, extension, abduction, and adduction, internal and external rotation.

Abstract: A method of treating a well, comprising introducing a well treatment fluid into the well. The well treatment fluid includes an aqueous base fluid and a dewatering agent. The dewatering agent includes water, a demulsifying surfactant, and a polyamine polyether.

Abstract: In some implementations, an authentication system may receive, from a client device, a credential associated with a user account and a request to access a resource. The authentication system may transmit, to the client device, a request for an image of a customized physical security token associated with the user account. The authentication system may receive, from the client device, a first image. The authentication system may compare the first image with a representation of a second image of the customized physical security token associated with the user account. The authentication system may grant or denying access to the resource based on comparing the first image with the representation of the second image.

Abstract: Described herein is a system for generating financing structures. A learning engine may extract data sets associated with sellers of various products. The learning engine may be trained using the data sets. The learning engine may identify a subset of dimensions that cause a change in a determination of a final price for a given product. The learning engine may compute a value for each of the sellers with respect to each dimension. The learning engine may group the sellers into different clusters. The learning engine may generate using a model, including the subset of dimensions. The learning engine may receive a request to generate a financing structure for a specified product sold by a specified seller. The learning engine may generate financing structures for the specified product sold by the specified seller based on the generated model.

Abstract: This disclosure relates generally to system and method for molecular property prediction. The method utilizes a set-pooling aggregation operator to derive a graph-level representation of a complete input molecular graphs to assist in inductive learning tasks. The method includes iteratively down-sampling the molecular graph into a coarsened molecular graph, and determining adjacency matrix and feature matrix of the coarsened molecular graph. The method then includes computing an average of the hidden state node attributes of the coarsened graph obtained after preforming the iterations to obtain a graph level representation vector of the molecular graph. Using a linear layer from the graph level representation vector the molecular properties are determined.