Abstract: The systems, methods, and devices disclose a transducer system located in a room or in an area to provide an alert to one or more persons. The transducer system includes at least a receiver, a processor and a speaker. The receiver receives an alert message sent from an alarm system or from another transducer system. The processor is configured to determine, from a plurality of notification messages, a notification message based on the alert event indicated by the alert message. Each of the plurality of notification messages corresponds to a different alert event, and each of the plurality of notification messages includes information to vibrate a speaker according to a different pre-determined vibration pattern. The speaker is moveable to generate a vibration pattern according to the determined notification message to inform a person about the alert event, wherein the speaker generates the vibration pattern in a low-frequency range.

Abstract: Systems and methods described in this disclosure provide methods and systems for automatic deployment of a vehicle covering apparatus to protect the vehicle from environmental conditions such as severe weather.

Abstract: Systems described herein for controlling, requesting, and coordinating the creation and generation of labels can be a label broker, providing a centralized location for storing label information created by various entities, and managing the requests for generation of physical labels coming from various sources and entities.

Abstract: A patient support apparatus pneumatic system may include a mattress defining an interior and a pneumatic enclosure in fluid communication with the interior and comprising an inlet and an outlet. A blower may be in fluid communication with the interior and the pneumatic enclosure. A pressure sensor may be configured to detect a pressure at the outlet. A controller may be configured to monitor a speed of the blower and the pressure at the outlet for detecting at least one of an intake blockage condition and an exhaust blockage condition.

Abstract: Embodiments disclosed herein generally related to a system and method for assessing a fraud risk. In one embodiment, a method for assessing a fraud risk is disclosed herein. A web browser extension executing on the computing device identifies an account associated with the computing device. The web browser extension detects that the computing device navigated to a web page hosted by a third party server. The web browser extension determines that the third party server prompted the computing device to opt into two-factor authentication functionality. The web browser extension determines that the computing device did not opt into the two-factor authentication functionality. The web browser extension prompts, via an application programming interface (API), an organization computing system to update a fraud metric associated with the account.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for automatically queuing participants during a conference call. For instance, the method may include receiving call data associated with a conference call; analyzing the call data to identify the participants on the conference call; and determining whether two or more participants of the plurality of participants are speaking at a same time. The method can also include tracking a first participant that continues speaking and a second participant that stops speaking; and displaying a queuing element on a graphical user interface (GUI) to indicate that the second participant is in a queue to speak once the first participant has finished speaking.

Abstract: Systems, methods, and apparatuses for protecting a secret on a device with limited memory, while still providing tamper resistance, are described. To achieve security, an encoding computer can apply a memory-hard function MHF to a secret S and determine a result Y, then determine a proof ? for the result Y. Then, the encoding computer can send a codeword C comprising the secret S and the proof ? to a decoding computer. The decoding computer can retrieve the codeword C from persistent memory and parse the secret S and the proof ?. The decoding device can use transient memory to decode the codeword C by verifying the proof ? was generated with the secret S and the result Y. When the correctness of the result Y is verified, the decoding device can apply a cryptographic function to input data using the secret S then reset the transient memory.

Abstract: A system and method for accurately tracking the delivery of items in an item distribution network using a purpose built confidence event recorder. An item sorter sorts items for delivery based upon route information and preferences for the delivery. Items are tracked while out for delivery through the use of confidence data recorded by a confidence event recorder carried by an item carrier. The confidence data recorder can that can record GPS and time data, as well as scan barcodes, such as a barcode on an item to be delivered. Confidence data can be used to accurately record when and where item carriers deliver items. The system determines if an actual delivery occurred by comparing the confidence data to previously gathered confidence data. An expected delivery window generation system can be used to generate expected delivery windows for the delivery of new items based on the confidence data recorded.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system detects user equipment (UE) in communication with a network via a serving cell of the network; the network is configured to facilitate communications by one or more terrestrial UEs and one or more aerial UEs. The system monitors messages from an aerial UE regarding detection of a cell other than the serving cell, and receives information from the aerial UE regarding the detected cell. The method further includes analyzing the information to estimate a first quantity associated with the detected cell location relative to the serving cell and a second quantity associated with a power received at the aerial UE from the detected cell. The method also includes determining, based on the analyzing, whether the aerial UE is an unauthorized aerial UE. Other embodiments are disclosed.

Abstract: A patient support apparatus includes a frame and a mattress supported by the frame and arranged to support a patient thereon. A sensor is included to detect moisture on the patient and/or the patient support apparatus. The sensor produces signals indicative of the presence of moisture on the patient support apparatus. One or more alerts are output in response to the signals provided by the sensor to notify a caregiver of the presence of moisture on the patient support apparatus.

Abstract: An improved injector cup may be used in diesel engines that fits more securely into the engine's cylinder heads to better prevent engine coolant from leaking into the fuel and/or fuel leaking into the coolant. An improved injector cup may be designed to accommodate specific engine types and sizes in order to prevent engine coolant from leaking into the fuel and/or fuel leaking into the coolant.

Abstract: The present disclosure encompasses novel anti-NGF antibodies, antigen binding proteins and polynucleotides encoding the same. The disclosure further provides use of the novel antibodies, antigen binding proteins and/or nucleotide of the invention for the treatment of NGF related disorders, particularly in for the management of pain.

Abstract: A framework for interpreting machine learning models is proposed that utilizes interpretability methods to determine the contribution of groups of input variables to the output of the model. Input variables are grouped based on correlation with other input variables. The groups are identified by processing a training data set with a clustering algorithm. Once the groups of input variables are defined, partial dependent plot (PDP) tables for each group are calculated and stored in a memory, which are used for calculating scores related to each group of input variables for a given instance of the input vector processed by the model. Furthermore, Shapley Additive Explanations (SHAP) values for each group can be calculated by summing the SHAP values of the input variables for a given instance of an input vector per group. These scores can then be sorted, ranked for each interpretability method, and then combined into one hybrid ranking.

Abstract: Embodiments disclosed are directed to a computing system that performs steps to automatically identify risk control features and entities in a risk control document. The computing system uses a generative machine learning (ML) model to transform a risk control document into sequences of words, classify risk control features associated with the sequences of words, and pair the sequences of words with the classified risk control features. The computing system then uses a natural language processing (NLP) model to identify syntactic characteristics of the sequences of words. Subsequently, the computing system uses a discriminative predictor system to correct the classified risk control features based on the identified syntactic characteristics, identify boundaries of the corrected classified risk control features, and pair the identified boundaries with the corrected classified risk control features.

Abstract: In some implementations, a system may receive, at a front-end device and from an augmented reality (AR) device associated with a user, a request to use the front-end device. The system may transmit, to the AR device, a request to access an optical sensor of the AR device. The system may receive, from the AR device, an output, from the optical sensor, that indicates a hand gesture performed by the user of the AR device. Accordingly, the system may determine, based on the hand gesture, a corresponding input key of the front-end device. The system may perform an action based on the corresponding input key.

Abstract: A system for providing notifications to client devices that includes one or more processors and one or more storage devices. The storage devices may store instructions that, when executed, configure the processors to perform operations. The operations include receiving a transaction notification from a third party; identifying a user account associated with the transaction notification; generating a push notification with a payload describing instructions to display a message and an interactive icon, and a resource identifier associated with the interactive icon, where the resource identifier includes a message ID encoding an interactive session and an action ID encoding a requested action. The operations also include transmitting the push notification to a client device associated with the user account; receiving a first indication indicating a user interaction with the interactive icon, the first indication having the resource identifier and updating the user account based on the action request.

Abstract: In some implementations, a device may receive a document associated with a series of recurring events and associated with an account. The device may analyze, using at least one of an optical character recognition technique or a natural language processing technique, the document to identify one or more characteristics associated with the document. The device may match the document with a record included in a ledger associated with the account based on the one or more characteristics associated with the document, enabling the device to identify that the record is associated with a recurring event of the series of recurring events. The device may modify display information associated with the ledger to append at least one characteristic associated with the document to information associated with the record. The device may transmit, to a user device, the display information to cause the display information to be displayed by the user device.