Abstract: Disclosed herein are system, method, and computer program product embodiments for utilizing non-RAM memory to implement environmental impact scoring. An embodiment operates by identifying environmental impact components associated with a product, calculating the environmental impact value for each of the environmental impact components to generate a plurality of environmental impact values and scoring the product based on the plurality of environmental impact values to reflect an environmental impact score. Environmental impact scores may be displayed for customer consideration during a potential purchase.

Abstract: A method conducted using a mobile device is disclosed. The method includes maintaining a plurality of software modules, wherein each software module of the plurality of software modules is built and executed independently of other software modules. The mobile device receives first interaction initiation data corresponding to a first transaction. In response to receiving the first interaction initiation data, a first subset of the plurality of software modules is selected via an application interface to execute the first transaction. The mobile device receives second interaction initiation data corresponding to a second transaction. In response to receiving the second interaction initiation data, a second subset of the plurality of software modules to execute the second transaction is selected via the application interface. The first subset of the plurality of software modules is different than the second subset of the plurality of software modules.

Abstract: The invention provides an isolated or purified T-cell receptor (TCR) having antigenic specificity for MHC Class II-restricted MAGE-A3. The invention further provides related polypeptides and proteins, as well as related nucleic acids, recombinant expression vectors, host cells, and populations of cells. Further provided by the invention are antibodies, or an antigen binding portion thereof, and pharmaceutical compositions relating to the TCRs of the invention. Methods of detecting the presence of cancer in a host and methods of treating or preventing cancer in a mammal are further provided by the invention.

Abstract: Methods and systems are disclosed herein for improving the quality of audio for use in a biometric. A biometric system may use machine learning to determine whether audio or a portion of the audio should be used as a biometric for a user. A sample of the user's voice may be used to generate a voice signature of the user. Portions of the audio that do not meet a similarity threshold when compared with the voice signature may be removed from the audio. Additionally or alternatively, interfering noises may be detected and removed from the audio to improve the quality of a voice biometric generated from the audio.

Abstract: Methods and systems are provided for path management. Consistent with disclosed embodiments, path management system may be configured to perform a series of operations for real time path analysis. The embodiments may determine a user location based on received location data, and then determine a user path based on a sequence of user locations. The embodiments may calculate a path map based on user locations, and then determine one or more of a user density map and a user velocity map based on the path map. The embodiments may determine regions of the user density maps and user velocity maps, and provide instructions to one or more of an environment and a user device. The embodiments may provide guidance to a user of user of the path management system, and/or instructions to change a status of a service location; or modify a product layout or fixture arrangement.

Abstract: Embodiments include apparatuses, methods, and systems for an example token provisioning process. In embodiments, a server computer device may receive over a payment transactions network, a request from an issuer for a private label (PL) token associated with a primary account number (PAN) of a payment card and a partnership offer between a partner merchant and the issuer. In embodiments, the server computer device, may generate and/or activate the PL token. In embodiments, the PL token is provisioned at a first level according to, at least, product characteristics associated with the PAN and at a second level according to, at least, product characteristics associated with the partnership offer. Other embodiments may also be described and claimed.

Abstract: An exemplary embodiment may include a control hub configured to receive data from an emissions analyzer and a leak detection camera. The emissions analyzer may detect levels of various gases and relay such information to the control hub. In an exemplary embodiment, the emissions analyzer may purge after every test to ensure longevity and accuracy. A leak detection camera may implement quantifying optical gas imaging in order to continuously monitor for fugitive leaks on a compressor package. If a leak is detected, it may be logged and the user or an operating group may be alerted.

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: The value for equipment to be replaced can be maximized by determining a threshold cutoff value for a failure prediction indicator and a window size for obtaining the threshold cutoff value for a piece of oil or gas drilling or recovery equipment; applying the threshold cutoff value and the window size to an equipment failure prediction model; and deriving a recall value and an average hour-loss value from the equipment failure prediction model. Predictive maintenance for the piece of oil or gas drilling or recovery equipment may be performed based on the recall value and the average hour-loss value to perform predictive maintenance for a piece of equipment in an oil or gas recovery operation.

Abstract: In some implementations, a system may receive interaction data indicating an interaction time and amount. The system may categorize the interaction in a category of a plurality of categories. For each category, the system may compare a total category amount with an average category amount. The system may determine, for each category, a proportion of the total category amount relative to a total account amount. The system may transmit, to a user device, user interface data associated with a ring-shaped user interface element that includes a plurality of segments corresponding to the plurality of categories. The user interface data indicates a width of a particular segment that is based on the comparison of the total category amount for a corresponding category with the average category amount, and an arc length that is based on the proportion of the total category amount for the corresponding category to the total account amount.

Abstract: Systems for intelligent sorting of time series data for improved contextual messaging are included herein. An intelligent sorting server may receive time series data comprising a plurality of chat messages. The intelligent sorting server may determine a first order of the plurality of chat messages based on a chronologic order. The intelligent sorting server may use one or more machine learning classifiers to identify candidates for reordering the chat messages. The intelligent sorting server may generate a second order of the chat messages based on the identified candidates for reordering. Accordingly, the intelligent sorting server may present, to a client device, a transcript of the chat messages associated with the second order and an indication that at least one chat message has been repositioned.

Abstract: The disclosure presents a process for sharpening an image data representation of collected measurements from a subterranean formation. The sharpening process utilizes an azimuthal filter applied to azimuthal radial ranges around a borehole to designate azimuthal bins. The azimuthal filter utilizes a set of filter coefficients to modify an azimuthal target bin. The set of filter coefficients is a devolution set as it contains at least one positive and one negative filter coefficient. The filter ratio of positive to negative filter coefficients can be adjusted utilizing the statistical uncertainty of the collected measurements and a targeted filter ratio. In some aspects, an axial filter process, also using a binning methodology, can be applied to the collected measurements, where the azimuthal and axial filtered values can be combined for the final image representation. The azimuthal and axial processes can be executed in serial or parallel process flows.

Abstract: A drilling system for drilling a wellbore that includes a drill string rotatable in a first direction. The system also includes a bottom hole assembly (BHA) that includes: a drill bit, a housing with a bore, a first fluid-driven motor in fluid communication with the bore and connected with and configured to rotate a portion of the BHA in a second direction opposite the first direction, a second fluid-driven motor in fluid communication with the bore and connected with and configured to rotate the drill bit, a valve in fluid communication with a vent including a flow path arranged to direct fluid away from any one or both of the fluid-driven motors, and a controller in communication with and configured to adjust a drilling parameter of the BHA by controlling the valve to adjust a flow rate of the fluid output from the valve into the vent.

Abstract: A system and method for collecting and managing property information is disclosed. The system and method allow for buyers, sellers, agents and other parties that may have relevant information for a real estate transaction to collect and/or view property information stored in a property information storage system. The system and method include a virtual property notebook that facilitates collecting data about properties so that the information can be added to the property information storage system. Users are guided through a property using the virtual property notebook running as a software application on a remote device. The remote device can be used to collect image information. Users may be instructed to further inspect a property structure such as an appliance that the system has automatically detected. The system and method further include a prediction system that can provide estimated property values based on collected information.

Abstract: The present invention comprises novel methods of continuously monitoring the performance of an atmospheric pressure ionization (API) system. The methods of the invention allow for improved quality monitoring of the processes that leads to the formation of ions at atmospheric pressure. The methods of the invention further allow for continuously monitoring for the quality of the ion formation process in API without the addition of extraneous material (such as labelled compounds or control known compounds) to the system being monitored.

Abstract: This disclosure may generally relate to systems and methods systems and methods for determining drill bit position while drilling. A bit-position-while-drilling system may include: a drill bit; a gyroscope unit coupled to the drill bit to measure angular velocity about three axes, wherein the gyroscope unit is coupled to the drill bit in a known relationship to the drill bit; and an information handling system operable to receive gyroscope measurements from gyroscope unit and determine position of the drill bit in a borehole based at least partially on the gyroscope measurements.

Abstract: Disclosed are systems and methods for providing a hybrid mobile application. The method may include: receiving specification of at least one feature of a mobile application. The mobile application may be specific to a first programming platform. The method may further include generating the at least one feature based on the specification. The at least one feature may be written in a programming language specific to a second programming platform, and the second programming platform may be different from the first programming platform. The method may also include compiling a programming wrapper based on the at least one feature of the mobile application, combining the at least one feature and the programming wrapper into a programming component, packaging the programming component into the mobile application, and distributing the mobile application in a repository of the first programming platform.

Abstract: Methods and systems for measuring a component of a drug delivery or storage device are described. The method comprises providing a light source in an opposing relationship with an optical imaging sensor; positioning a sample component on a positioning stage located between the at least one light source and at least one opposing optical imaging sensor; and illuminating, with the at least one light source, the sample component. The controller is operable to capture an image of the component, determine the location of a first outer edge point PI of the captured image; rotate the sample component relative to the optical image sensor, and collect n images separated from each other by x degrees of rotation, wherein n*x is ?360 degrees. The controller may compare a measured position of the at least one outer edge point PI between the captured images to determine a degree or circular runout.

Abstract: Computer vision systems and methods for noisy contour alignment are provided. The system generates a loss function and trains a convolutional neural network with the loss function and a plurality of images of a dataset to learn to align contours with progressively increasing complex forward and backward transforms over increasing scales. The system can align an attribute of an image of the dataset by the trained neural network.

Abstract: A method for preparing a material for use as a surface of a medical device may include printing, with an ink jet printer and using ink that is curable with ultraviolet light, content onto a surface of material that includes woven ticking fabric laminated with polyurethane. The method may also include curing the ink with the ultraviolet light. The method may also include cutting a section of the material in registration to the content printed on the surface for use in a medical device.