Abstract: An advanced lens system includes an advanced lens configured to be worn by an individual. The advanced lens system includes a camera configured to obtain one or more images of a property. The advanced lens system includes one or more processors communicatively coupled to the advanced lens and the camera, the one or more processors being configured to receive the one or more images of the property and process the one or more images to identify primary damage to the property. The one or more processors are also configured to predict, based on the primary damage and previous damage data stored in a database, secondary damage that is likely to be present with the primary damage. The one or more processors are further configured to provide an output indicative of the secondary damage that is likely to be present with the primary damage via a display of the advanced lens.

Abstract: Apparatuses are provided for altering fluid flow in downhole pumps. In some embodiments, the apparatus comprises a body comprising: an inner core positioned at a longitudinal axis of the body, the inner core comprising an elongate element having an upper domed end and a lower domed end; and at least two fluid channels extending through the body, the at least two fluid channels spaced circumferentially around the elongate element. The apparatus may be used in combination with a ball check valve to improve the velocity profile of the fluid flowing around the valve ball. Related assemblies and methods are also provided.

Abstract: A method of receiving, by an access controlling server, a danger-related communication for an inclement danger condition. The access controlling server is in operational communication with a locking mechanism, controlling an opening and closing condition of a door of the enclosed structure. The access controlling server enables, based on the danger-related communication, an entry allowance setting of the locking mechanism of the door of the enclosed structure. The access controlling server adjusts the security restriction associated with the security-protected machine or the enclosed structure. The access controlling server transmits a push notification, informing a user in the area that the entry allowance setting of the locking mechanism of the access controlling server of the door of the enclosed structure is enabled.

Abstract: An augmented reality system including processors and storage devices storing instructions. The instructions may configure the processors to perform operations including determining a location of a mobile device, identifying a facility based on the location, requesting mapping data from a facility server, the mapping data comprising a plurality of vehicles, vehicle location data, and landmarks, identifying one location attribute in a video feed captured by an augmented reality viewer displayed in the mobile device, and determining whether the one location attribute matches the plurality of vehicles or the landmarks. The operations may also include identifying qualified vehicles from the vehicles based on qualification criteria, determining whether the qualified vehicles is in a field of view of the augmented reality viewer based on object attributes and the vehicle location data, and generating a modified video feed by providing an indication associated with qualified vehicles in the field of view.

Abstract: Implementations selectively message member account data to client applications to reduce server load. When a monitored load on cloud servers meets a criteria, a hold status may be triggered. During the hold status, member accounts may be monitored and client applications may be transmitted push messages, for example when a change is detected in a member's monitored account. The push messages can contain the detected changes, such as a posted transaction that triggered the message. Implementations of the client application can be configured to display local data (stored from the push messages) during the hold status in response to a member's request to access/view their account. Because server to client communication is limited to messages that contain member account changes, an overall server load can be reduced.

Abstract: Methods and systems described in this disclosure are directed to authentication of calling parties. The authentication of calling parties applies to simultaneous voice and/or data communications with multiple parties over multiple electronic mediums including a variety of electronic devices. A user can continue to maintain a data exchange session with a representative of an entity offering the goods or services of interest to the user across more than one user device. In some embodiments, a user can invite other parties in a multi-party call involving the user and the representative. Various embodiments for multi-party and multi-device authentication mechanisms are described herein. In some embodiments, the system calculates an estimated call waiting time for a user to speak with the representative.

Abstract: Various embodiments are generally directed to utilizing a steganographically encoded image with an offline and/or online verification or authentication protocol. A method for using the steganographic image can include: receiving or utilizing a steganographic image associated with a user at a third-party device, the steganographically encoded image including an identification of a user steganographically encoded with a fingerprint template of the user, and authenticating the user using the steganographically encoded image.

Abstract: A downhole logging device, a method of logging a wellbore, and a wellbore logging system are disclosed herein. In one example, the wellbore logging system includes surface equipment operable for monitoring logging operations in a wellbore based on downhole data measurements and a downhole logging device, coupled to the surface equipment through a downhole communications link. The downhole logging device includes one or more downhole tools having at least one data sensor each that captures the downhole data measurements from the wellbore, and a data compression unit that provides a data compression portion and a residual data portion of the downhole data measurements, wherein the data compression portion is provided, via the downhole communications link, to the surface equipment for the monitoring, and the residual data portion is stored downhole.

Abstract: Systems and methods for extracting and analyzing formation fluids from solids circulated out of a subterranean formation are provided. In one embodiment, the methods comprise: providing a sample of formation solids that have been separated from a fluid circulated in at least a portion of a well bore penetrating a portion of a subterranean formation at a well site; performing a solvent extraction on the sample of formation solids using one or more solvents at an elevated pressure at the well site, wherein at least a portion of one or more formation fluids residing in the formation solids is extracted into the one or more solvents to produce an extracted fluid; and analyzing the extracted fluid at the well site to determine the composition of the extracted fluid.

Abstract: Provided are transaction cards including an expanded identification ship. In some approaches, a transaction card may include a body having a first main side opposite a second main side, wherein the body defines an outer perimeter including a first end perimeter opposite a second end perimeter, and a first side perimeter opposite a second side perimeter. The transaction card may further include an identification chip having a plurality of contacts, wherein a first contact of the plurality of contacts extends to at least one of the following: the first end perimeter, the second end perimeter, the first side perimeter, and the second side perimeter.

Abstract: The present disclosure describes a method, system, and apparatus for using a machine learning system to configure and optimize complex, distributed computer networks. The machine learning system receives an input related to a computer network and classifies the input using either a supervised learning approach or an unsupervised learning approach. From the classification of the input, the machine learning system builds a first training domain and determines a steady state network configuration for the computer network. After determining a steady state network configuration for the computer network, the machine learning system receives a plurality of inputs from one or more sensors or agents distributed throughout the computer network. The machine learning system compares the plurality of inputs to the steady state network configuration to detect a deviation from the first steady state network configuration.

Abstract: A cartridge for an e-vaping device enables simultaneous vaporization of different pre-vapor formulations to form a vapor for vaping by an adult vaper. The cartridge includes a dispensing interface coupled to a plurality of reservoirs and a heater coupled to the dispensing interface in a housing. The dispensing interface may include a trunk and separate roots extending into separate reservoirs, such that the dispensing interface draws different pre-vapor formulations from the reservoirs to the trunk via the separate roots. The heater is coupled to the trunk, such that the heater is operable to simultaneously vaporize the different pre-vapor formulations drawn into the trunk.

Abstract: An apparatus, that is part of a drill string for drilling a wellbore in a subsurface formation, comprises a drill bit that includes at least one electrode coupled to a power source, the at least one electrode to periodically emit an electrical discharge based on electrical pulses received from the power source; and a first port to output a first type of drilling fluid having a different composition than a second type of drilling fluid to flow downhole for removal of cuttings, wherein the electrical discharge is to be transmitted through the first type of drilling fluid and through a rock of the subsurface formation.

Abstract: Disclosed are methods of isolating T cells having antigenic specificity for a mutated amino acid sequence encoded by a cancer-specific mutation, the method comprising: identifying one or more genes in the nucleic acid of a cancer cell of a patient, each gene containing a cancer-specific mutation that encodes a mutated amino acid sequence; inducing autologous APCs of the patient to present the mutated amino acid sequence; co-culturing autologous T cells of the patient with the autologous APCs that present the mutated amino acid sequence; and selecting the autologous T cells. Also disclosed are related methods of preparing a population of cells, populations of cells, pharmaceutical compositions, and methods of treating or preventing cancer.

Abstract: The present disclosure relates to systems and methods for parsing unstructured data with neural networks. In one implementation, a system for parsing unstructured data may include at least one processor and at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the system to: receive unstructured data; apply a classifier to the unstructured data to identify a type of the unstructured data; based on the identification, select a corresponding neural network; apply the selected neural network to the unstructured data to obtain structured data; and output the structured data.

Abstract: Herein are described methods and systems for characterizing noise and noise level during downhole pressure testing and/or sampling operations. Methods and systems may identify and quantify the noise level of a formation pressure testing and/or sampling operations by measuring pressures with the probe pressure sensor and the tool pressure sensor with and without extension of the dual probe and closing the bubble point valve that connects the probe fluid passageway to the tool fluid passageway.

Abstract: Methods and systems are disclosed herein for using anomaly detection in timeseries data of user sentiment to detect incidents in computing systems and identify events within an enterprise. An anomaly detection system may receive social media messages that include a timestamp indicating when each message was published. The system may generate sentiment identifiers for the social media messages. The sentiment identifiers and timestamps associated with the social media messages may be used to generate a timeseries dataset for each type of sentiment identifier. The timeseries datasets may be input into an anomaly detection model to determine whether an anomaly has occurred. The system may retrieve textual data from the social media messages associated with the detected anomaly and may use the text to determine a computing system or event associated with the detected anomaly.

Abstract: A workplace safety system includes an item of monitored equipment, a mobile communications device, and a scoring computing system. The item of monitored equipment includes a sensor, a transmitter, and a computing unit. The sensor is configured to generate signals. The computing unit is electrically coupled with each of the sensor and the transmitter. The mobile communications device is in wireless communication with the transmitter via a short-range communication protocol. The scoring computing system is in networked communication with the mobile communications device and is configured to receive data. The data includes an identity of an operator of the item of monitored equipment. A characteristic of operation is determined based upon the signals from the sensor and represents a manner by which the operator has used the item of monitored equipment. The scoring computing system is configured to generate a safety score associated with the operator. Methods are also provided.

Abstract: A method includes collecting, by a first AI application of a first AI computer, data to include in a dataset. The first AI application of the first AI computer can include an offer for the dataset into an offering platform. The first AI application of the first AI computer can then receive a response to the offer from a second AI application of a second AI computer. The first AI application of the first AI computer can determine whether or not to provide the dataset to the second AI application of the second AI computer. The first AI application of the first AI computer can, based on the determination, provide the dataset to the second AI application of the second AI computer.