Abstract: This disclosure relates to methods and systems for injecting and/or sequestering carbon-containing materials in underground wells, and, in some examples, for using the carbon-containing materials for enhanced oil recovery and well abandonment. An example method includes: obtaining a mixture including biochar particles and a liquid; and providing the mixture for injection into an underground well.

Abstract: An automatic injection device is provided, where the device includes a syringe carrier and a retraction assembly. The syringe carrier may include two identical parts that are discrete from one another and interlock with one another. Carrier includes a cushion to support the syringe. Protrusions may be provided on cushion to further support syringe. The retraction assembly includes a shuttle and a follower, the follower having a moveable latch. The follower has a coupled configuration in which the latch is biasedly coupled to the shuttle, and a decoupled configuration in which the latch is in sliding engagement with a curvilinear surface of the shuttle.

Abstract: A method of identifying a vehicle total loss claim includes retrieving a plurality of historical vehicle records, labeling the records as repaired or total loss, calculating mean cost values, training a regression model, optimizing a probability threshold, analyzing a plurality of inputs to generate a prediction, and transmitting the prediction. A computing system includes a transceiver; a processor; and a memory storing instructions that, when executed by the processor, cause the computing system to receive answers, transmit the answers, receive a prediction, when the prediction is repairable, generate a repair suggestion, and when the prediction is total loss, generate a settlement offer. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to receive answers, transmit the answers, receive a prediction, when the prediction is repairable, generate a repair suggestion, and when prediction is total loss, generate a settlement offer.

Abstract: A medication delivery system including a holding chamber having an input and an output end, a backpiece coupled to the input end of the holding chamber and having an electrical circuit and an opening. An MDI includes an insert portion moveable between an engaged position wherein the insert portion is received in the opening and a disengaged position wherein the insert portion is removed from the opening, and at least one contact that completes the electrical circuit when the insert portion is in the engaged position.

Abstract: An apparatus, method and computer program product are provided for determining a newly established vehicle-related rule within an area. In one example, the apparatus receives sensor data indicating attributes of an area for a first period. The attributes indicate a number of vehicle-related tickets issued within the area, a parking orientation of each vehicle within the area, or a combination thereof. The apparatus compares the sensor data to historical data associated with the area. The historical data indicate the attributes of the area for one or more second periods preceding the first period. Based on comparison of the sensor data and the historical data, the apparatus determines a likelihood of a vehicle-related rule established for the area, where the vehicle-related rule did not exist during the one or more second periods. The apparatus causes a notification indicating the likelihood at a user interface.

Abstract: An apparatus, method and computer program product are provided for providing autonomous vehicle navigation at intersections. In one example, the apparatus identifies an intersection associated with at least two road signs having the same sign type and facing the same direction. The apparatus updates map data to include a datapoint that provides a representation of a single road sign at the intersection instead of the at least two road signs, thereby enabling an autonomous vehicle relying on the map data to traverse the intersection to adhere to the single road sign in lieu of the at least two road signs.

Abstract: Structures, for example fibrous structures, such as absorbent material, for example absorbent core material including particles, for example super absorbent polymer particles (SAP particles), and processes for making same are provided.

Abstract: A computer program product, system, and method for generating a combined score or scores for digital assets or cryptocurrency or stocks, each score based on a combination of fundamentals and technical data, for trading decisions, such as buying, selling, holding, or shorting the asset. The score(s) may relate to long-term, medium-term, and short-term decisions. The scores(s) may be generated using machine learning, artificial intelligence, or behavioral analytics to determine which of the available fundamentals data and technical data to use in the scoring and how much significance and weight to give to each data. The scores(s) may be provided to an automated trading system for generating trades based on the score(s).

Abstract: Novel fibrous structures that contain filaments, and optionally, solid additives, such as fibers, for example wood pulp fibers, sanitary tissue products comprising such fibrous structures, and methods for making such fibrous structures and/or sanitary tissue products are provided.

Abstract: The invention relates to compounds of Formula I: or a pharmaceutically acceptable salt, tautomer, or stereoisomer, thereof, wherein the variables are as defined herein. The present invention further provides pharmaceutical compositions comprising such compounds and methods of using such compounds for method for treating, preventing, inhibiting, ameliorating, or eradicating the pathology and/or symptomology of cryptosporidiosis by administering such a compound.

Abstract: An apparatus, method and computer program product are provided for predicting tire temperature levels. In one example, the apparatus receives input data indicating attributes of the target vehicle and attributes of target routes for the target vehicle. The apparatus causes a machine learning model to generate output data as a function of the input data, where the output data indicate a subset of the target routes of which the target vehicle can successfully traverse while using the at least one spare tire. The machine learning model is trained to generate the output data as a function of the input data based on training data, where the training data indicate events in which vehicles used spare tires to traverse routes. The training data indicate attributes of the vehicles and attributes of the routes.

Abstract: A system, a method and a computer program product are provided to determine a left turn decision for a user or autonomous vehicle attempting to turn at an intersection of a road. For example, the system obtains contextual features and/or sensor data related to the intersection of the road. An optimal location on the road is determined for the user or autonomous vehicle to position the vehicle to make the left turn decision, based on the contextual features and/or the sensor data. A left turn risk factor is determined based on the location on the road for the user or autonomous vehicle to position the vehicle to make a left turn. An alert is presented to the user or autonomous vehicle regarding the left turn risk factor with a left turn advisory message.

Abstract: A method, apparatus, and computer program product are provided for using visual analysis of a road surface to identify markings indicative of road surface anomalies. Methods may include, for example: receiving data from an image sensor associated with a vehicle traveling along a road segment; identifying, within the data, a visual indication of a road surface anomaly, where the visual indication is a result of the road surface anomaly; and cause at least one of: an indication of the road surface anomaly to be provided to a user of the vehicle; a vehicle operational setting to be changed responsive to the road surface anomaly; or a map update to be generated to include the road surface anomaly within a map database.

Abstract: A method, apparatus, and computer program product are therefore provided for emulating vehicle features of a first vehicle in a second vehicle having different features. Methods may include: receiving an indication of a user operating an unfamiliar vehicle; determining vehicle features familiar to the user; and providing emulation of one or more features of the vehicle features familiar to the user in the unfamiliar vehicle. According to some embodiments, the vehicle features familiar to the user are determined based on one or more vehicles familiar to the user. According to certain embodiments, vehicle features familiar to the user include one or more of vehicle size, vehicle performance, or vehicle autonomy level.

Abstract: A system, a method and a computer program product are provided to predict vehicle parking bunching in a geographic region. For example, the system is configured to obtain a plurality of contextual features and/or a plurality of sensor data related to parking information in the geographic region. The system is configured to predict a vehicle parking bunching based on a vehicle unparking threshold, a vehicle separation distance cluster threshold and/or unparking vehicle information. The system may also be configured to alert a vehicle of the vehicle parking bunching with a vehicle parking bunching notification.

Abstract: A system, a method and a computer program product are provided, for example, to assist vehicle turns during limited visibility of incoming vehicles based on a turning confidence index for a left turn decision. For example, the system may obtain a plurality of traffic features related to the intersection of the road based on historical road features and/or real-time road features associated with the road. Using a trained machine learning model, a turning confidence index for the intersection of a road and/or a driving decision associated with attempting to turn at the intersection of the road may be determined.

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: Methods for securing an electronic communication is provided. Methods may, in a registration process, create and/or select an anti-phish, personalized, security token for a predetermined account on a computing device. Methods may generate a hash of the token, store the token and the hash in a secure storage location within the computing device. Methods may, in an in-use process, generate an electronic communication at a channel. The database may be interposed along the channel. Methods may forward the communication to a recipient associated with the account. Methods may intercept the communication at the database. Methods may select the hash from the database. Methods may generate an injected hash by injecting the hash into the communication. Methods may transmit the communication with the hash to the recipient. Methods may receive the electronic communication with the injected hash at the recipient. Methods may compare the injected hash to the stored hash.

Abstract: An apparatus, method and computer program product are provided for predicting tire temperature levels. In one example, the apparatus receives input data indicating a target route for a target vehicle, attributes associated with the target vehicle, and attributes of the target route and causes a machine learning model to generate output data as a function of the input data. The output data indicate prediction of tire temperature levels of the target vehicle during a period in which the target vehicle traverses the target route. The machine learning model is trained to generate the output data as a function of the input data based on training data indicating events in which vehicles traversed routes. Specifically, the training data include tire temperature levels of the vehicles, vehicle data associated with the vehicles, map data associated with the routes, and environmental data associated with the routes.

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 account. 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 channel. The database may be interposed along the channel. Methods may include, in the in-use process, forwarding the communication to a recipient. The recipient may be associated with the account. Methods may include, in the in-use process, intercepting the communication at the database. 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.