Abstract: Systems, computer program products, and methods are described herein for analyzing micro-anomalies in anonymized electronic data. The present disclosure is configured to import or retrieve a first data set, process the first data set to develop at least one event-outcome projection, define an outcome projection data set, import or receive a monitored user data set, anonymize the monitored user data set, define an avatar data set process the avatar data set, wherein the steps of import or receive a monitored user data set, anonymize the monitored user data set, and define an avatar data set are repeated one or more times.

Abstract: A method for managing user interactions with multiple mobile devices is provided. The method includes receiving, at one of the mobile devices, a user input to associate the mobile device with the on-duty vehicle driver, such that all remaining mobile devices within range of an in-vehicle network beacon are passenger mobile devices. The method then includes transmitting, by the driver mobile device, one or more signals to the passenger mobile devices, the one or more signals including a unique identifier and indicating the association of the driver mobile device with the on-duty driver. In response to the one or more signals from the driver mobile device, the passenger mobile devices enforce a different device usage policy (or suspend enforcement of a device usage policy) while a device usage policy on the driver mobile device is enforced to restrict access to functionality on only that device.

Abstract: Absorbent articles with front and rear opening features are disclosed. An article may comprise an insert comprising an outer cover, a liner, and a core between the outer cover and liner, a first waist panel coupled to the insert throughout a first attachment region, and a second waist panel coupled to the insert throughout a second attachment region, the second panel being coupled to the first panel proximate a first side edge of the article and the second side edge of the article and further comprising a weakened region. The second attachment may comprise a low-strength attachment zone and a high-strength attachment zone, the high-strength attachment zone disposed proximate the attachment region bottom edge. The low-strength attachment zone may further have a first peel strength and the high-strength attachment zone may have a second peel strength, the second peel strength greater than the first.

Abstract: Systems, computer program products, and methods are described herein for processing data using an optimized machine learning architecture. The present disclosure is configured to monitor usage data for a plurality of network devices; analyze the usage data using a first machine learning engine; determine, based on an output of the first machine learning engine, at least one data trend; and instruct a second machine learning engine to analyze local data associated with the at least one data trend, wherein the second machine learning engine is hosted on a first network device of the plurality of network devices.

Abstract: The present disclosure generally relates to auditory nerve stimulation to create the perception of sound in the brain of a subject such as an animal or human being. In one form, a system includes an implantable electrode array including a plurality of spaced apart micro-needles. The system also includes a first electrical lead electrically coupled to and extending from the implantable electrode array, and an auditory signal device configured to produce one or more electrical signals representative of communications received from an external processor. An interposer is configured to electrically couple the implantable electrode array and the auditory signal device in an arrangement where one or more electrical signals produced by the auditory signal device may be transmitted through the first electrical lead to the implantable electrode array. Various novel stimulation strategies can be employed, such as place modulated stimulation signals.

Abstract: Systems and methods disclosed herein securely provide confidential information associated with a user during an active voice call conducted using the user's mobile device. The confidential information may be provided by generating the information in spoken form and inserting the spoken information into an audio stream of the voice call. For example, a customer may be on a phone call with a customer agent. The customer agent may ask the customer for a credit card number in order to process a financial transaction. The customer may select the credit card number via an application executing on the customer's mobile phone. The application may cause the credit card number to be spoken out loud during the voice call. A voice sample of the spoken credit card number in inserted into the audio stream of the voice call and is therefore, audible to the customer and the customer agent without being overheard by a third party.

Abstract: Systems, methods, and apparatuses are described herein for performing sentiment analysis on electronic communications relating to one or more image-based communications methods, such as emoji. Message data may be received. The message data may correspond to a message that is intended to be sent but has not yet been sent to an application. Using a first machine learning model, one or more subsets of the plurality of emoji may be determined. The one or more subsets of the plurality of emoji may comprise one or more different types and quantities of emoji, and may each correspond to the same or a different sentiment. Using a second machine learning model, one or more emojis may be selected from the one or more subsets. The one or more emojis selected may correspond to responses to the message.

Abstract: A method of processing a virtual money order transaction includes establishing an account for a first user having a first user device and receiving from a second user device, a virtual money order purchase request identifying the first user as a payee, an amount, and payment information. A transfer of a payment amount from a second user account to a transaction processor account is processed and a virtual money order is generated with associated information accessible at a network address. A notification including the network address is transmitted to the first user device and a request to receive the money order information is received via the network address. Responsive to verification that the requester is authorized, the information is transmitted to the first user device. A redemption request is received and a transfer of the money order amount from the transaction data account to the redemption requester is processed.

Abstract: A battery charging system includes a charging rack comprising multiple receptacle, multiple battery assemblies. Each of the battery assemblies includes a housing having a handle, rechargeable battery cells disposed within the housing, and a mating feature protruding away from the housing, wherein the mating feature is configured to selectively connect the battery assembly with the receptacle of the charging rack and includes multiple ports electrically connected to the battery cells and configured receive power from the charging rack to charge the battery cells, and wherein the handle comprises a release button configured to selectively disengage the battery assembly from the receptacle of the charging rack.

Abstract: Systems and methods disclosed herein securely provide confidential information associated with a user during an active voice call conducted using the user's mobile device. The confidential information may be provided by generating the information in spoken form and inserting the spoken information into an audio stream of the voice call. For example, a customer may be on a phone call with a customer agent. The customer agent may ask the customer for a credit card number in order to process a financial transaction. The customer may select the credit card number via an application executing on the customer's mobile phone. The application may cause the credit card number to be spoken out loud during the voice call. A voice sample of the spoken credit card number in inserted into the audio stream of the voice call and is therefore, audible to the customer and the customer agent without being overheard by a third party.

Abstract: Systems, methods, and apparatuses are described herein for performing sentiment analysis on electronic communications relating to one or more image-based communications methods, such as emoji. Message data may be received. The message data may correspond to a message that is intended to be sent but has not yet been sent to an application. Using a first machine learning model, one or more subsets of the plurality of emoji may be determined. The one or more subsets of the plurality of emoji may comprise one or more different types and quantities of emoji, and may each correspond to the same or a different sentiment. Using a second machine learning model, one or more emojis may be selected from the one or more subsets. The one or more emojis selected may correspond to responses to the message.

Abstract: Provided is a method for detecting the trajectories of one or more targets in the field of view of one or more sensors, the method comprising: receiving one or more sensor frames corresponding to the one or more sensors; defining a space of allowable target states for the one or more sensor frames; specifying a set of potential target trajectories, each comprising one allowable target state for each of the one or more sensor frames; specifying target signal parameters for each of the allowable target states, such that the target signal parameters predict the expected target signal contribution corresponding to the one or more sensor frames; specifying a data fidelity objective to quantify how well the target signal parameters match the one or more sensor frames; specifying a sequence of one or more sparsity objectives to penalize a number of detected targets; determine the trajectories of one or more targets as follows: obtain values for all the target signal parameters in all the sensor frames, the obtained

Abstract: Disclosed herein are system, method, and computer program product embodiments for recommending a service provider. An embodiment operates by receiving a search request specifying a service request by a user and location for the requested service, retrieving prior financial transactions of the user to purchase the service from a database, and determining a preference of the user based on the retrieved prior financial transactions. The embodiment further operates by applying the preference to a model trained to output a recommended service provider and selecting the recommended service provider for display on a user's device. The model more likely recommends service providers in the location having a higher ratio of tip-to-price relative to other providers for the service in the location based on a history of prior financial transactions of a plurality of users.

Abstract: An ink bottle is mounted in a DOD printer with the ink bottle acting as an ink supply reservoir that supplies ink to a DOD print head. A unique cap is provided that is configured to be affixed to an end of the ink bottle via threads or the like. The cap can be provided with one or more mechanical keying features used to limit mounting of the cap and the bottle assembly to a correct receiver in the DOD printer. The cap can also be provided with a valve controlled ink passage that allows ink to flow out of the bottle through the cap and a valve controlled vent passage that allows air to enter the bottle through the cap.

Abstract: Systems, methods, and apparatuses are described herein for performing sentiment analysis on electronic communications relating to one or more image-based communications methods, such as emoji. Message data may be received. The message data may correspond to a message that is intended to be sent but has not yet been sent to an application. Using a first machine learning model, one or more subsets of the plurality of emoji may be determined. The one or more subsets of the plurality of emoji may comprise one or more different types and quantities of emoji, and may each correspond to the same or a different sentiment. Using a second machine learning model, one or more emojis may be selected from the one or more subsets. The one or more emojis selected may correspond to responses to the message.

Abstract: A method for managing user interactions with multiple mobile devices is provided. The method includes receiving, at one of the mobile devices, a user input to associate the mobile device with the on-duty vehicle driver, such that all remaining mobile devices within range of an in-vehicle network beacon are passenger mobile devices. The method then includes transmitting, by the driver mobile device, one or more signals to the passenger mobile devices, the one or more signals including a unique identifier and indicating the association of the driver mobile device with the on-duty driver. In response to the one or more signals from the driver mobile device, the passenger mobile devices enforce a different device usage policy (or suspend enforcement of a device usage policy) while a device usage policy on the driver mobile device is enforced to restrict access to functionality on only that device.

Abstract: A method receiving an electronic data modification instruction of a virtual record modification to cause at least one data modification to at least one attribute of a virtual record data structure; determining at least one user record associated with the virtual record; determining at least one record modification preference associated with the at least one user record on the at least one modification condition; utilizing a record-specific modification machine learning model to predict at least one record-specific modification in response to the virtual record modification based on the one modification condition and the one record modification preference; generating an authorization instruction to authorize the electronic data modification instruction to cause the modification by instructing at least one database management system to modify the user record according to the record-specific modification; and instructing a computing device to display the record-specific modification to the at least one user reco

Abstract: A computer-implemented method for anonymizing online transaction details may include performing a process to generate an identifier (ID) and reference address for a user, and receiving a request for transaction processing from an e-commerce server. The request may include first data including: information associated with a purchase of a product to be delivered to the user; the identifier; and the reference address. The method may further include: in response to the request, determining whether the ID and reference address are included in the request, and if so, obtaining the accurate address and shipping rate rules; applying, based on the first data and the accurate address, the shipping rate rules to determine accurate shipping rate cost information associated with delivering the product to the accurate address; performing an anonymizing process on the accurate information to obtain anonymous shipping rate information, and transmitting the anonymous shipping rate information to the e-commerce server.

Abstract: Systems, methods, and apparatuses are described herein for performing sentiment analysis on electronic communications relating to one or more image-based communications methods, such as emoji. Message data may be received. The message data may correspond to a message that is intended to be sent but has not yet been sent to an application. Using a first machine learning model, one or more subsets of the plurality of emoji may be determined. The one or more subsets of the plurality of emoji may comprise one or more different types and quantities of emoji, and may each correspond to the same or a different sentiment. Using a second machine learning model, one or more emojis may be selected from the one or more subsets. The one or more emojis selected may correspond to responses to the message.

Abstract: A computer-implemented method for anonymizing online transaction details may include performing a process to generate an identifier (ID) and reference address for a user, and receiving a request for transaction processing from an e-commerce server. The request may include first data including: information associated with a purchase of a product to be delivered to the user; the identifier; and the reference address. The method may further include: in response to the request, determining whether the ID and reference address are included in the request, and if so, obtaining the accurate address and shipping rate rules; applying, based on the first data and the accurate address, the shipping rate rules to determine accurate shipping rate cost information associated with delivering the product to the accurate address; performing an anonymizing process on the accurate information to obtain anonymous shipping rate information, and transmitting the anonymous shipping rate information to the e-commerce server.