Abstract: Embodiments disclosed include a person-support apparatus, which includes a mattress, a person-support apparatus frame, and a siderail. The siderail assembly may be pivotally coupled to the person-support apparatus frame. The siderail assembly includes a siderail, a drop surface, and a siderail adjustment mechanism. The drop surface is configured to be raised and lowered relative to a deck section of a person-support apparatus so as to widen or narrow the width of the deck section. The siderail adjustment mechanism has a rail end and a frame end. The drop surface is removably attached to the siderail. The rail end of the siderail adjustment mechanism is pivotally coupled to the siderail. The frame end of the siderail adjustment mechanism is pivotable relative to the person-support apparatus frame such that pivoting the siderail adjustment mechanism moves the siderail assembly between a raised position and a lowered position.

Abstract: Systems and method for generating vehicle recommendations are determined using interaction information. An information data set may be mapped to a first user and include interactions based on a period of time. The interactions may be parsed by a trained machine learning model to determine trends and attributes. A user profile and a user score for different criteria may be compared to vehicle sores of multiple vehicles. Comparing the scores may identify recommended vehicles for the first user which may be transmitted to a user device of the user.

Abstract: Systems, methods, and computer-readable media for communications between applications in a mobile operating system. A first application may receive a request for data from a second application. The first application may generate a first URL to the second application, a parameter of the first URL comprising an identifier of the first application. A mobile operating system may access the first URL to open the second application. The second application may validate credentials for an account and initiate a server on a port. The second application may generate a second URL to the first application, a parameter of the second URL comprising the port. The operating system may access the second URL to open the first application. The first application may establish a connection with the server using the port specified in the second URL and receive data from the second application via the connection with the server.

Abstract: Example embodiments relate to a cartridge configured to house a pre-vapor formulation for an e-vaping device, the cartridge including an inner portion and an outer portion configured to store the pre-vapor formulation. The outer portion includes a plurality of fibers configured to be mobile and/or configured to be substantially free of entanglement with one another. The fibers are configured to be substantially free of entanglement with one another based on the lengths of the plurality of fibers. For example, the lengths of the plurality of fibers may be in a range of about 3 mm to about 7 mm. The lengths may also be about 5 mm.

Abstract: Systems and methods for detecting accessibility failures. In some aspects, the system receives a request for evaluating accessibility for a user interface of an updated version of a software application, wherein the request includes the updated and previous versions of the software application, and previous textual data corresponding to the previous version. The system generates audio output by using a screen reader to process the user interface. Textual data is generated by processing the audio output using speech recognition. The system compares the textual data to previous textual data to determine whether feature differences are present between the updated and previous versions. The one or more feature differences are analyzed to identify a feature difference corresponding to an accessibility failure point. In response to identifying the accessibility failure point, the system determines actions for removing the accessibility failure point.

Abstract: The disclosure generally relates to methods and systems for complex natural language task understanding for embodied robots or agents. Conventional works on relation extraction generally find relevant triplets in a natural language phrase, but neither ground the task nor ground the arguments. The present disclosure implements a Grounded Argument and Task Extraction (GATE) technique that extracts a set of tasks and relevant arguments from the complex natural language instruction. The GATE uses an encoder-decoder neural network with nested decoding technique. The extracted tasks are mapped (grounded) to the known skill set of the robot and arguments are mapped (grounded) to objects within the environment, classifies the tokens as many times as possible which existing sequence labeling cannot do.

Abstract: A system, method, and apparatus for ameliorating deposits in selective catalytic reduction systems for the reduction of nitrogen oxide emissions in steam methane reformers. The system includes positioning a dual stage refractory particulate (RP) filter placed in an upstream airflow from a Selective Catalytic Reduction System (SCRS). The first stage is formed of a perforated steel plate with a second stage formed of a wire mesh screen. The system may employ air cannons to clean each of the first stage and the second stages.

Abstract: Aspects of the disclosed technology provide solutions for analyzing and interpreting geophysical and petrophysical data and in particular, for using generative machine learning models to characterize and predict reservoir properties. A process of the disclosed technology can include steps for providing a set of formation measurement data to a generative machine learning model and generating, via the generative machine learning model, a set of latent space data corresponding to the set of formation measurement data. The process can further include steps for clustering the set of latent space data to generate a set of clusters and determining a petrophysical interpretation based on the clusters. Systems and machine-readable media are also provided.

Abstract: A downhole system may include a housing disposed about a downhole tubular. The housing has a nozzle chamber in fluid communication with an annulus of a wellbore. The downhole system further includes a flow control device nozzle disposed within the nozzle chamber and configured to control a fluid flow rate through the nozzle chamber. The downhole system includes a ball disposed within the nozzle chamber. The ball is moveable to plug the nozzle chamber in response to fluid flow from the central bore of the downhole tubular toward the annulus. Additionally, the downhole system includes a piston chamber in fluid communication with the nozzle chamber and a central bore of a downhole tubular. Further, the downhole system includes a piston that is slidable within the piston chamber between a run-in position and an open position. The piston blocks the ball from traversing into the piston chamber in the run-in position.

Abstract: An aerosol-generating device includes an electrical power supply, a cavity structure configured to receive an aerosol-generating article, and a plurality of semiconductor heaters within the cavity structure. Each of the plurality of semiconductor heaters includes a substrate layer and a heating layer on the substrate layer. The heating layer is a continuous layer. The aerosol-generating device includes a controller configured to control a supply of electrical power from the electrical power supply to each of the plurality of semiconductor heaters.

Abstract: Methods and systems are disclosed for using a feature hierarchy with multiple levels with a different number of features at different levels to segment a dataset. The mechanism may use the first level of the hierarchy to segment a dataset into multiple datasets and then generate a timeseries dataset for each segment. Those timeseries datasets may be input into an anomaly detection model to identify a number of anomalies detected within those segments. Based on the number of anomalies not reaching a threshold, a second level of the hierarchy may be used to segment the dataset. Those segments may be input into the anomaly detection model to determine a number of anomalies for the second level. This process may continue until a level of the hierarchy is determined such that the number of anomalies reaches the threshold. The mechanism may then generate a security rule to deal with the anomalies.

Abstract: A system and computer implemented method for detecting hallucination in output of a generative AI system. User input is received specifying a query or task relating to information contained in a data object. A first vector representation of the user input and a second vector representation of the data object are generated. The first and second vector representations are compared to identify parts of the data object which match the query or task. An input is generated for a generative AI system with the user input and the parts of the data object. The input is input to a generative AI system. An output produced by the generative AI system is analysed to determine if the output contains information also present in the data object. If not, an error process is initiated. If so, the output is produced by the generative AI system.

Abstract: A method includes receiving subject training data comprising a plurality of images of subjects in a plurality of positions on a person support apparatus, labeling the plurality of images based on the positions of the subjects to generate labeled subject training data, generating synthetic training data comprising computer generated images of artificial subjects in a plurality of positions on an artificial person support apparatus, labeling the synthetic training data based on the positions of the artificial subjects to generate labeled synthetic training data, and training a machine learning model based on the labeled subject training data and the labeled synthetic training data, using supervised learning techniques, to generate a trained model to predict a subject position based on an image of the subject.

Abstract: A computer-implemented chatbot including a prompt generation module, a large language model (LLM) module, and an answer generation module. The prompt generation modules generates an initial prompt based on a prompt template combined with a received user query. The initial prompt includes information source data specifying sources of factual information, conversation history data, and failed response data. The initial prompt is input to the LLM module, which is configured to generate an output and communicate the output to the answer generation module. The answer generation modules determines if the output is a plan to answer a user query. If so, relevant data is retrieved from external database or more APIs specified in the information source data. A further prompt is generated for answering the user query and input to the LLM module. The answer generation module repeats its tasks until a suitable answer to the user query is output.

Abstract: An electronic smoke apparatus comprising an inhale sensor, a smoke source containing vapor-able smoke flavored substances, an electric heater for heating up the smoke flavored substances, and a power management controller to control power supply to operate the heater; wherein the power management controller is to adaptively supply operating power to the heater according to characteristics of a smoking inhaling event detected at said inhale sensor.

Abstract: Provided herein are systems and method for providing routing of complex dynamically updated website applications using micro front ends (MFEs). The MFEs can be instantiated in a nested fashion. Each MFE can be agnostic to other levels of the website application structure that are not directly adjacent to the MFE in the hierarchy of the nesting. Navigation events can be bubbled up to a shell application to retain top-level control of routing within the website application without requiring the shell application to have all levels of routing in the hierarchy.

Abstract: Systems, methods, and computer-readable media are provided for enabling mobile device-based item acquisition and tracking. One exemplary method performed on a mobile device comprises entering a wireless scan mode, detecting a signal from a tag associated with an item in a first area and in proximity to the tag, presenting information associated with the tag, and adding the information to a list. The method further comprises detecting a second tag in a second area, and sending the list to a second device. A second exemplary method performed by a processing terminal comprises receiving the list from a mobile device, entering a wireless scan mode, detecting a signal from a tag associated with an item in proximity to the tag, determining whether the item associated with the detected tag is present on the received list, and enabling the mobile device to complete a transaction to purchase the item.

Abstract: Disclosed are live, chimeric non-human Mononegavirales vectors that allow a cell to express at least one protein from at least one human pathogen. In addition, compositions comprising the vectors, methods and kits for eliciting an immune response in a host, and methods of making the vectors are disclosed, in accordance with embodiments of the invention.

Abstract: Disclosed herein are various embodiments for providing data transmission using lattice-based encryption. An embodiment operates by receiving a request from a client device and generating a lattice-based private key and a lattice-based public key in response to receiving the request. The lattice-based public key is transmit to the client device. An encrypted symmetric private key is received, wherein the encrypted symmetric private key is encrypted using the lattice-based public key. The encrypted symmetric private key is decrypted using the lattice-based private key. An encrypted payload data transmitted by the client device is received and decrypted using the symmetric private key.

Abstract: A computer-implemented approach is described that includes receiving a multidimensional vehicle-deal request for computation of a plurality of vehicle-deals. To overcome latency and scalability issues, the approach computes the results for the multidimensional vehicle-deal request using double parallelization. Such double parallelization involves computing pre-price and post-price calculations using two asynchronous parallel threads using microservices servers. The results are output on the device of the requester, optionally in an order sorted based on most attractive results to the user.