Abstract: A computer-implemented method comprising receiving a transaction request from a merchant server. In response to receiving the transaction request, the method includes requesting authentication from a computing device associated with a user payment account and a requesting that a merchant re-submit the transaction request. The method includes receiving an authentication parameter from the computing device, and determining that the authentication parameter matches an authentication parameter of the user payment account. The method includes receiving a re-submission of the transaction request from the merchant server and, based on the determination that the authentication parameter received from the computing device matches the authentication parameter associated with the user payment account, approving the transaction request.

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: Embodiments of a system and method for using a mobile device to assist with the efficient and secure delivery of item. The mobile device can assist an item deliver to lock or unlock secure item delivery receptacles. The mobile device can also notify an item deliverer about particular delivery conditions associated with particular delivery endpoints. The mobile device can further help the item deliverer to determine whether or not he or she is delivering the item to the correct location.

Abstract: Methods and systems are described herein for efficiently labeling user utterances, which may encompass any communication received from a user within a conversational interaction, and identifying novel user intents for large amounts of data. A machine learning model may be used, which is trained on embeddings of utterance data, and which may employ methods like prototypical networks and hierarchical local binary classification for hierarchical multi-label multi-class classification.

Abstract: A cartridge for an e-vaping device includes a housing extending along a longitudinal axis of the cartridge, and an outlet-end insert coupled to the outlet end of the housing. The housing at least partially encloses a pre-vapor formulation reservoir and a vapor generator of the cartridge and further channels light via internal reflection through an interior of the housing. The outlet-end insert includes an outlet in flow communication with the vapor generator, directs the vapor generated by the vapor generator out of the cartridge through the outlet, and further emits the light channeled through the interior of the housing. One or more properties of the light are controllable.

Abstract: A data sharing system may facilitate sharing of data with third party systems. The data sharing request can be identified as being a potential privacy risk. To reduce the potential privacy risk, in one example, requested user data can be modified prior to sharing. The modified user data can be shared with the third party system rather than sharing unmodified user data.

Abstract: Systems and methods for automatically detecting, classifying, and processing objects captured in an images or videos are provided. In one embodiment, the system receives an image from an image source and detects one or more objects in the image. The system performs a high-level classification of the one or more objects in the image. The system performs a specific classification of the one or more objects, determines a price of the one or more objects, and generates a pricing report comprising a price of the one or more objects. In another embodiment, the system captures at least one image or video frame and classifies an object present in the image or video frame using a neural network. The system adds the classified object and an assigned object code to an inventory and processes the inventory to assign the classified object a price.

Abstract: Computer vision systems and methods for object detection with reinforcement learning are provided. The system includes a reinforcement learning agent configured to detect an object pertaining to a target object class and a plurality of objects pertaining to different target object classes, such that the reinforcement learning agent determines a bounding box for each of the detected of objects. The system first sets parameters of the reinforcement learning agent. The system then detects an object and/or objects in an image based on the set parameters. Finally, the system determines a bounding box and/or bounding boxes for each of the detected objects.

Abstract: Systems and methods for detecting unauthorized access are disclosed herein. In some aspects, the system receives a combined activity dataset. The system updates a base breach detection model based on the combined activity dataset to generate a combined breach detection model. The system duplicates the combined breach detection model to generate a first breach detection model for a first user. The system receives a first activity dataset for the first user and trains a labeling model to associate activities from the first activity dataset with the first user. The system processes the combined activity dataset using the labeling model to associate activities from a portion of the combined activity dataset with the first user. The system updates the base breach detection model based on activities from the first activity dataset and the portion of the combined activity dataset to generate a second breach detection model to detect breach activity.

Abstract: A method and system for task planning for visual room rearrangement under partial observability is disclosed. The system or the robotic agent utilizes a visual input to efficiently plan a sequence of actions for simultaneous object search and rearrangement in an untidy room, to achieve a desired tidy state. Unlike search networks in the art that follow ad hoc approach, the method discloses a search network utilizing commonsense knowledge from large language models to find unseen objects. A Deep RL network used for task planning is trained with proxy reward, along with unique graph-based state representation to produce a scalable and effective planner that interleaves object search and rearrangement to minimize the number of steps taken and overall traversal of the agent, and to resolve blocked goal and swap cases. Sample efficient cluster-biased sampling is utilized for simultaneous training of the proxy reward network along with the Deep RL network.

Abstract: In one or more implementations, a data processing device and a data processing method are disclosed that includes a data communication port configured to transmit and receive data to and from at least one computing device. Further, a replicator is included that is configured to replicate ingress data received from the data communication port to a pattern matcher and a field programmable gate array. The pattern matcher is configured to receive the replicated data directly from the replicator and to generate and transmit a trigger signal to the field programmable gate array. Still further, the field programmable gate array is configured to receive the replicated data from the replicator and the trigger signal from the pattern matcher and to perform bit operations on the replicated data as a function of the trigger signal.

Abstract: A variety of methods, systems, and compositions are disclosed, including, in one example, a method that includes: introducing a treatment fluid into a wellbore extending into a subterranean formation, wherein the treatment fluid comprises: water; an acid; a corrosion inhibitor; and a friction reducer having a vinyl phosphonic acid moiety, an acrylic acid moiety, a vinyl sulfonate moiety, a diallyl moiety, or an acrylamide moiety; and flowing at least a portion of the treatment fluid into the subterranean formation, wherein the pressure required to achieve a given flow rate of the treatment fluid into the subterranean formation is reduced by at least 1% as compared to the pressure required to achieve the given flow rate of the treatment fluid in the subterranean formation without the friction reducer.

Abstract: Disclosed herein are systems and methods including an electromechanical brake used downhole to impart dynamic or static braking capabilities while absorbing or otherwise reducing shock loads. The electromechanical brake may be used for a downhole electromechanical linear actuator to control a valve for the production of subterranean fluid. In some examples, it may be desirable for an electromechanical linear actuator to maintain a retracted position during certain safety and/or maintenance operations. The electromechanical brake includes a brake housing, a first armature rotatably disposed in the brake housing, a second armature rotatably disposed in the brake housing for rotation by a motor, an electrical coil energizable to urge the second armature into axial engagement with the first armature, and a rotational spring for biasing the first armature to a neutral rotational position relative to the brake housing while allowing a limited rotation of the first armature relative to the brake housing.

Abstract: Polynucleotide expression cassettes comprising synthetic polynucleotides encoding human propionyl-CoA carboxylase alpha (synPCCA) are described herein. Related recombinant expression vectors, recombinant adeno-associated viruses (rAAVs), and compositions are also described. Also described are methods of treating a disease or condition mediated by propionyl-CoA carboxylase, comprising administering to a subject in need thereof a therapeutic amount of any of the polynucleotide expression cassettes, recombinant expression vectors, rAAVs, or compositions.

Abstract: An electrical computer system processing architecture for providing an indication of activity in the electrical computer system, the electrical computer system processing architecture comprising a plurality of client computers connected to at least one server by a computer network. Each of the client computers is configured to provide requests to the at least one server. The or each server comprises a store for storing requests provided by the plurality of client computers. The or each server is configured to match complementary requests from the plurality of client computers stored in the store. Following the matching of complementary requests, the or each server counts unmatched requests corresponding to one or other of the complementary requests in the store, and outputs the counted number of unmatched requests to provide the indication of activity in the computer system.

Abstract: A passive vibration damper for damping vibrations, particularly for damping vibrations of a printed circuit board, includes a chamber having a surrounding wall which defines a cavity. The volume of the cavity is at least 2% of the volume of the vibration absorber and not more than 95% of the volume of the vibration absorber. The chamber includes particles, wherein the wall and the particles have the same material composition.

Abstract: Systems and techniques of the present disclosure may correct sensed data to account for an offset position of an imaging tool that is deployed in a wellbore. When an imaging tool is deployed at a location that does not coincide with a center point of the wellbore, images generated from acquired data may be distorted as some of image data will be collected at locations closer to a wellbore wall than other image data. Since the resolution of a sensing device varies with distance, the resolution of data collected by a sensing device will vary with distance that separates the sensing device from the wellbore wall. Furthermore, judgments of distance to features of the wellbore wall may also be distorted because of this offset. As such, systems and techniques of the present disclosure are directed to adjust collected image data to correct for both distance and resolution related effects.

Abstract: Aspects of the subject disclosure may include, for example, a container bolt seal, comprising: a rod portion having first and second ends; a head located at the first end of the rod portion, wherein at least one outer cross-sectional dimension of the head is greater than a largest outer cross-sectional dimension of the rod portion; a locking member, wherein at least one outer cross-sectional dimension of the locking member is greater than the largest outer cross-sectional dimension of the rod portion, wherein the locking member is configured for placement on the second end of the rod portion, and wherein the locking member becomes non-removably attached to the rod portion after placement on the second end of the rod portion; and an electronic processor that facilitates wireless communications comprising a first message indicative of a time and location of a bolt-sealing event and a second message indicative of a time and location of a status event. Other embodiments are disclosed.

Abstract: The disclosure relates generally to methods and systems for transforming qualitative survey into quantitative survey. Current approaches depend on manual analysis of these user responses which is so troublesome task. The present disclosure transforms the qualitative survey questionnaire into the quantitative survey questionnaire using a domain knowledge and a natural language processing. The method first receives responses to each question present in qualitative survey questionnaire, from multiple batches. Then valid responses out of all the responses are determined for each question, pertaining to each batch, using domain taxonomy and natural language knowledge graph. Further, semantic relation-based technique is employed to determine the questions that are transformable batch wise. Then, the response options are created for each transformable question.