Abstract: A capsule for a heat-not-burn (HNB) aerosol-generating device may include a base of a thermally-conductive material, the base defining a first cavity therein, the base including a first surface, the first surface defining an opening to a second cavity, the first surface including a first plurality of apertures through the first surface. The capsule may further include a cover coupled to the base and on the base, the cover including a second plurality of apertures in a middle portion of the cover, the first plurality of apertures and the second plurality of apertures defining an air flow path through the base and the cover.

Abstract: Technical limitation of conventional Gradient-Based Meta Learners is their inability to adapt to scenarios where input tasks are sampled from multiple distributions. Training multiple models, with one model per distribution adds to the training time owing to increased compute. A method and system for generating meta-subnets for efficient model generalization in a multi-distribution scenario using Binary Mask Perceptron (BMP) technique or a Multi-modal Meta Supermasks (MMSUP) technique is provided. The BMP utilizes an adaptor which determines a binary mask, thus training only those layers which are relevant for given input distribution, leading to improved training accuracy in a cross-domain scenario. The MMSUP, further determines relevant subnets for each input distribution, thus, generalizing well as compared to standard MAML. The BMP and MMSUP, beat Multi-MAML in terms of training time as they train a single model on multiple distributions as opposed to Multi-MAML which trains multiple models.

Abstract: Tracking motion using inertial sensors embedded in commercial grade wearables like smartwatches has proved to be a challenging task, especially if real-time tracking is a requirement. Present disclosure provides system and method wherein data from sensors are obtained and scaled. Further, Euler Rodrigues Matrix (ERM) is generated based delta value obtained using sensor data. The scaled sensor data and ERM are used for generating feature vectors. Windowing technique is applied for subsets of feature vectors to obtain label for each window and machine learning model is trained with the label and window. Further, during real-time, sensor data is obtained, and steps of ERM, feature vectors generation, and application of windowing technique are repeated, and coordinates are estimated for each window in real-time based on which trajectories are tracked in real-time for each window.

Abstract: Logic may receive one or more questions from a customer in a chat. The logic may associate the one or more questions with one or more categories of subjects. The logic may store indications of the one or more categories of the subjects with a customer profile. The logic may select questions for a quiz for the customer based on the one or more categories of the subjects in the customer profile from a set of questions. The logic may present the one or more questions to the customer. And, in some embodiments, the logic may receive answers to the one or more questions from the customer.

Abstract: Methods of treating and preventing metabolic disease through inhibiting interleukin 11 (IL-11)-mediated signalling are disclosed, as well as agents for use in such methods.

Abstract: Techniques to pre-authenticate an identity for an electronic account are described and claimed by the present disclosure. The electronic account may enforce a multi-factor authentication procedure that involves a number of steps. In addition to the electronic account, a user may have other accounts requiring authentications. Successful authentications with respect to those other accounts may provide evidence of the user's identity. If sufficient evidence is present, one or more steps of the multi-factor authentication procedure may be bypassed. Other embodiments are described and claimed.

Abstract: A system and method for detecting and prevent identity theft attempts, such as phishing, vishing or other similar attacks is disclosed. A smart device, such as a smartphone operates in tandem with a biometric sensor, such as is included in a wearable device like a smartwatch or fitness tracker. The wearable tracks certain biometric and/or physiological data that can be used to identify whether the user is in a stressed state. The smart device then accesses usage logs that may indicate whether the stressed state is justified, such as whether the user had a calendar appointment at that time, or whether the call was received from a known contact etc. Justifications reduce the likelihood that the user's stress is a result of an identity theft attempt, whereas lack of justification increases the likelihood. In the latter scenario, the user is notified not to divulge sensitive information.

Abstract: A batteryless device is disclosed. According to certain embodiments, the batteryless device may include a first communication system and a second communication system, the second communication system being a near-field-communication (NFC) system. The batteryless device may also include a power receiver coupled to the first communication system and configured to wirelessly receive power from an external device for powering the first communication system. The batteryless device may further include a controller configured to: when the first communication system is powered, establish, via the first communication system, a first wireless connection with a user device; receive, through the first wireless communication, a token from the user device; establish, via the second communication system, a second wireless connection with a terminal; and transmit, through the second wireless connection, the token to the terminal.

Abstract: Systems and methods are disclosed herein for training machine learning models using precision data based on movement and timing of data collection. The system trains the machine learning model to predict object locations in an environment. The training data includes location data, timing data, and motion data, collection of which is triggered by a user input indicating that a particular object was located. The system generates precision parameters for the locations by assigning initial values to entries within the training data and may lower precision parameters based on the timing data indicating that an object was located faster than a threshold time or based on the motion data indicating that a rate of motion exceeded a threshold rate when a corresponding object was located. The system may update the training data with the lowered precision parameters and train the machine learning model to predict the object locations within the environment.

Abstract: A hydraulic fracturing system includes a turbine generator for producing electricity at a well site, the turbine generator producing electrical energy at a voltage. The system also includes an electric pump electrically coupled to the turbine generator and receiving operative power from the turbine generator. The system further includes switch gear arranged between the electric pump and the turbine generator, the switch gear distributing electrical energy from the turbine generator to the electric pump, wherein the voltage remains substantially constant from the turbine generator to the electric pump.

Abstract: A hydraulic fracturing system has a pump driven by an electrically powered motor. The pump pressurizes fluid which is piped into a wellbore to fracture a subterranean formation. The pump and motor are mounted on a trailer that is hitched to a tractor. A platform assembly is mounted onto the trailer, and which is selectively moveable between deployed and stowed configurations. The platform assembly includes a platform, a lateral rail assembly mounted to the platform, and gates on the forward and aft ends of the platform. The rail assembly and gates define a safety barrier to prevent operations personnel from falling off the platform. In the stowed configuration the platform assembly is anchored in place over wheels on the trailer. In the deployed configuration, the platform assembly provides work surface so that operations personnel can readily access the pump on the trailer.

Abstract: Non-Pneumatic Tire (NPT) has been widely used due to their various advantages. Existing solutions/approaches provide limited flexibility on the overall tire performance and have less stiffness and poor damage performance. Embodiments of the present disclosure provides systems and methods that generate optimized spoke design for non-pneumatic tires. More specifically, the system of the present disclosure can generate optimized topology with customized property/performance outcomes for NPTs. The variety of spoke designs have been created using a computer generative method. The performance of these generative spoke designs has been investigated using a finite element method (FEM) technique, wherein output of the FEM technique is used for training machine learning model(s) that enable selection of optimal spoke design for tire manufacturing.

Abstract: Systems and methods are disclosed for controlling a downhole tool by encoding a tool control signal in a fluid flow and obtaining a temperature response downhole. In an example, a system for controlling a downhole tool includes a signal transmitter, a signal receiver, and a controller. The signal transmitter is uphole of the tool to be controlled (e.g., at surface) and encodes the tool control signal by varying one or more fluid flow parameters of a fluid flow down a well. The signal receiver is positionable in the well in fluid communication with the fluid flow. The signal receiver detects a temperature response in the fluid flow resulting from varying the one or more fluid flow parameters. A controller controls the downhole tool according to the temperature response.

Abstract: The present disclosure a method for data regulations-aware cloud storage and processing service allocation. Conventional approaches fail to address the technical problem of data placement for storage as well as processing, considering multiple criteria. Further, the conventional approaches fail to address compliance with data regulations, tier pricing policy for multiple Cloud Service Providers (CSPs) which impacts storage and processing center selection and constraint satisfaction. The present disclosure proposes a joint optimization model for the selection of storage and processing services from multiple cloud service providers, taking into practical consideration of data regulations and tiered pricing, which has not been addressed in the prior art. To solve this hard multi-objective combinatorial optimization problem, the present disclosure utilizes a cost-reduction-based algorithm for obtaining optimal solution.

Abstract: The non-nicotine e-vaping section includes a heater in heating proximity to a wick, the heater and the wick being connected to a first surface of a first wall that partially defines a chamber, and a reservoir configured to contain a non-nicotine pre-vapor formulation, the non-nicotine pre-vapor formulation being devoid of nicotine and including a non-nicotine compound, the first wall at least partially defining at least one first channel that traverses through the first surface, the at least one first channel being configured to communicate the non-nicotine pre-vapor formulation from the reservoir to the wick, the first wall defining an entrenched section that at least partially contains the wick, the first wall at least partially defining one or more air passages that traverse through the first surface, the one or more air passages having a first length that is longer than a second length of the at least one first channel.

Abstract: Conversations with software applications have been an integral part of day-to-day activities. For a smooth conversations, it is necessary for a software to automatically help in understanding another software. A method and system for enabling conversational reverse engineering and understanding of software application has been provided. The present disclosure proposes a solutions which is configured to build a dynamic knowledge base for a bot to learn from an input application source code. The system and method are further configured to provide functional/domain context-based question interpretation and mapping of the information to the dynamically built knowledge base. A user query is converted to a proprietary question model. Further, a question verb, primary entity and secondary entity are extracted through natural language processing.

Abstract: The present disclosure relates to computer-implemented methods, systems, and products for securing the use of digital tokens in network environments using techniques for encrypting the digital token, transmitting an identification code to a computing device, and expunging the digital token and the identification code to mitigate the risk that a digital token store will be compromised.

Abstract: A hydraulic fracturing system for fracturing a subterranean formation is disclosed. In an embodiment, the system can include a plurality of electric pumps fluidly connected to a well associated with the subterranean formation and powered by at least one electric motor, and configured to pump fluid into a wellbore associated with the well at a high pressure; at least one generator electrically coupled to the plurality of electric pumps so as to generate electricity for use by the plurality of electric pumps; a gas compression system fluidly coupled to the at least one generator so as to provide fuel for use by the at least one generator; and a combustible fuel vaporization system gaseously coupled to the gas compression system so as to provide at least one of vaporized fuel or gasified fuel, or a combination thereof, to the gas compression system.

Abstract: Disclosed herein are system, method, and computer program product embodiments for preemptively evaluating whether roles are over-privileged within an (IAM) identity and access management system. Roles may be over-privileged when they are granted permissions to perform certain actions outside the scope granted to those roles. The evaluation occurs without submitting the certain actions to the IAM system and allows roles to be evaluated on a preemptive basis so that corrective actions may be taken to prevent unauthorized access to resources. Roles may be associated with policies which may each define different permissions for accessing resources. The evaluation may involve generating an effective policy from the policies associated with a role to provide a comprehensive view of all permissions associated with the role.