Abstract: Described are implementations of systems and methods for an improved machine learning-based system that incorporates pre-operative and intraoperative measurements captured during surgery, as well as additional patient-specific data, to provide an individualized, highly accurate post-operative manifest refraction prediction. According to some embodiments, a determination engine generates a predictive feature set of one or more predictors associated with diagnostic measurements of one or more eyes and performs a recursive selection operation using one or more combinations within the predictive feature set and one or more models to produce a most predictive subset, the most predictive subset having a highest prediction accuracy among other predictive subsets for post-operative manifest refraction. The determination engine generates a determination model by refining and retraining the one or more models of the recursive selection operation utilizing the most predictive subset.

Abstract: Participants as requestors using a requesting network element request one or more tokenization processors to generate tokens that represent a sanitized version of data such that the resultant tokens are amenable to comparison across participants. As circumstances warrant, one or more such tokens can be submitted to the tokenization processor(s) to privately retrieve the original data. Role-based access control scope parameters and tokenization processor-specific tokenization processor secrets can be embedded into reversible tokens that remain invariant under updating of the tokenization processor secrets across tokenization processors.

Abstract: Methods for securing an electronic communication is provided. Methods may include, in a registration process, creating and/or selecting an anti-phish, personalized, security token for a predetermined avatar. Methods may include, in the registration process, storing the token in a database. Methods may include, in an in-use process, generating an electronic communication at a virtual kiosk in a metaverse. Methods may include, in the in-use process, forwarding an electronic communication from the virtual kiosk to the avatar. The avatar may be associated with the account. Methods may include, in the in-use process, intercepting the communication at an edge interface. Methods may include, in the in-use process, selecting, from the database, the anti-phish, personalized, security token that is associated with the account. Methods may include, in the in-use process, injecting the selected token into the communication.

Abstract: An interface and headgear assembly includes a headgear assembly. The headgear assembly has a first strap configured to connect to the interface. A crown strap can be adjusted along a length of the first strap. In some configurations, the crown strap has a first portion and a second portion that are adjustably connected. The crown strap can be removably connected to the first strap using bridge regions of the first portion and the second portion.

Abstract: The present invention provides compositions comprising a recombinant AAV and one or more pharmaceutically acceptable excipients. The compositions have improved stability and shelf life as compared to other AAV compositions.

Abstract: Aspects of the disclosure relate an IoT authentication system to strengthen and streamline authentication for transaction processing for users. A transaction computing platform may receive from a plurality of IoT devices information regarding interactions with a user. In some arrangements, transaction computing platform may generate constellations based on the received information. A trust status may be determined based on the generated constellations. Transaction authentication may be based at least in part on the determined trust status. In some embodiments, real-time updates of trust status along with transaction alerts may be provided to IoT devices.

Abstract: Aspects of the disclosure relate an IoT authentication system to strengthen and streamline authentication for transaction processing for users. A transaction computing platform using artificial intelligence may receive from a plurality of IoT devices information regarding interactions with a user. In some arrangements, transaction computing platform may generate constellations based on the received information. A trust status may be determined based on the generated constellations. Transaction authentication may be based at least in part on the determined trust status. In some embodiments, real-time updates of trust status along with transaction alerts may be provided to IoT devices.

Abstract: Aspects of the disclosure relate an IoT authentication system to strengthen and streamline authentication for transaction processing for users. A transaction computing platform using artificial intelligence may receive from a plurality of IoT devices information regarding interactions with a user. In some arrangements, transaction computing platform may generate constellations based on the received information. A trust status may be determined based on the generated constellations. Transaction authentication may be based at least in part on the determined trust status. In some embodiments, real-time updates of trust status along with transaction alerts may be provided to IoT devices.

Abstract: Articles, for example multi-ply fibrous structure-containing articles such as multi-ply sanitary tissue products, containing two or more fibrous structure plies, and more particularly to multi-ply articles containing two or more fibrous structure plies having a plurality of fibrous elements wherein the articles exhibit improved bulk and absorbent properties compared to known articles and methods for making same, are provided.

Abstract: Apparatus and methods for using deepfakes defensively to detect fake, spoofed, and hoax accounts and posts on social media and elsewhere are provided. A program may gather verified images or writings of a target individual. The program may analyze the verified images and writings to create a baseline. The program may use deepfake algorithms to create exemplar deepfake images or writings. The program may store the data in a database. The program may search a network for social media accounts or posts that may meet the baseline and determine whether they are legitimate or illegitimate by comparing the contents of the accounts or posts with the exemplar deepfakes. When the program determines the accounts or posts are illegitimate, the program may initiate a takedown of those accounts or posts. The program may use machine learning algorithms to refine itself and become more accurate.

Abstract: Apparatus and methods for providing an indicator of trustworthiness of a software application are provided. A program may receive information regarding the software application from a developer of the application. The program may analyze the application and determine that the application is trustworthy and secure. The program may then create a unique logo that may include various information to indicate to a user that the program has determined the application is trustworthy. The program may transmit the logo to the developer so the developer may incorporate the logo into the application. In an embodiment, the program may transmit the logo to a third-party application store for display on a page where the application is available.

Abstract: Fibrous structures containing filaments and optionally, solid additives, wherein the pre-moistened fibrous structures exhibit wet compressive modulus values that are superior to known pre-moistened fibrous structures as measured according to the Wet Compressive Modulus Test Method described herein and methods for making same are provided.

Abstract: A method, apparatus, and user interface for left turn indicator detection comprising obtaining image data of at least one navigable link, determining a left turn indicator based on the obtained image data, wherein the left turn indicator includes data from at least one driver profile, and associating the determined left turn indicator with one or more navigable links to update a map layer of a geographic database.

Abstract: A method, apparatus, and user interface for road debris detection comprising, in some embodiments, obtaining image data of at least one navigable link and/or road debris, determining a road debris indicator based on the obtained image data, wherein the road debris indicator includes road debris classification data, and associating the determined road debris indicator with one or more navigable links to update a map layer of a geographic database.

Abstract: A method, apparatus, and user interface for determining appointment attendance probability comprising obtaining an indication of least a first location and second location of an end user; wherein the first location and second location are obtained at a predefined time interval, obtaining end user driving profile data, obtaining end user appointment data, determining appointment attendance probability based, at least in part, on the obtained first location, second location, end user appointment data, and end user driving profile data, and updating at least one database with the determined appointment attendance probability.

Abstract: Participants as requestors using a requesting network element request one or more tokenization processors to generate tokens that represent a sanitized version of data such that the resultant tokens are amenable to comparison across participants. As circumstances warrant, one or more such tokens can be submitted to the tokenization processor(s) to privately retrieve the original data. Role-based access control scope parameters and tokenization processor-specific tokenization processor secrets can be embedded into reversible tokens that remain invariant under updating of the tokenization processor secrets across tokenization processors.

Abstract: A method, apparatus and computer program product are provided to predict a map object based at least in part on audio data. With respect to predicting a map object, audio data created by a vehicle while driving over a road surface is obtained. The audio data includes one or more audio amplitude features, one or more audio frequency features or a combination of audio amplitude features and audio frequency features. The audio data including the one or more audio amplitude features is provided to a machine learning model and the map object that created the audio data while the vehicle interacted therewith is predicted utilizing the machine learning model. A method, apparatus and computer program product are also provided for training the machine learning model to predict the map object based at least in part on audio data.

Abstract: An article of manufacture making system for making an article of manufacture containing a plurality of dry solid additives, such as fibers, that utilizes a dry solid additive delivery system including one or more dry solid additive inlets, one or more dry solid additive outlets and one or more prime movers.

Abstract: A chair support shell has an integral back portion, seat portion, and joining portion between the back portion and the seat portion. At least a major portion of the support shell comprises a compliant structure, the compliant structure having a plurality of cells interconnected by a plurality of resilient members. The compliant structure provides compliance in the seat portion, compliance in the back portion, and compliance in the joining portion. The compliant structure enables recline of the back portion relative to the seat portion.

Abstract: Articles, such as sanitary tissue products, including fibrous structures, and more particularly articles including fibrous structures having a plurality of fibrous elements wherein the article exhibits differential cellulose content throughout the thickness of the article and methods for making same are provided.