Abstract: A method includes sending a notification to a user device of a user that a password reset is required. A hash of a password is received from the user device at a reset date and a reset time. A default expiration date and a default expiration time are determined for the password based on the reset date and the reset time. Excluded dates, excluded time intervals, allowable dates, and allowable time intervals are determined. In response to determining that the default expiration date falls on a first excluded date, a first allowable date that is before or after the first excluded date is set as the expiration date. In response to determining that the default expiration time falls within a first excluded time interval, a time that falls within a first allowable time interval is set as the expiration time.

Abstract: Systems and methods are directed to building annotated models based on eyes-off data. Specifically, a synthetic data generation model is trained and used to further train a target model. The synthetic data generation model is trained within an eyes-off environment using an anonymity technique on confidential data. The synthetic data generation model is then used to create synthetic data that closely represents the confidential data but without any specific details that can be linked back to the confidential data. The synthetic data is then annotated and used to train the target model within an eyes-on environment. Subsequently, the target model is deployed back within the eyes-off environment to classify the confidential data.

Abstract: Natural language generators (NLGs), including large language models, are powerful technologies that are in widespread use. However, typically, as NLGs become more powerful and sophisticated, their correspondingly increased complexity requires substantial processing resources. The present disclosure provides automated techniques for dynamically routing queries between at least two NLGs based on an assessment of query difficulty. Less difficult queries can be routed to a less resource intensive NLG, while more difficult queries are routed to a more sophisticated, but more resource intensive NLG. Routing less difficult queries to a less resource intensive model can thus conserve computing resources, while providing little to no drop in response quality, and in some cases providing improved response quality.

Abstract: In some examples, a method including depositing a plurality of particles on a ceramic or ceramic matrix composite (CMC) substrate to form a barrier coating on the ceramic or CMC substrate, the plurality of particles including a silica-rich rare earth (RE) disilicate material and a second material, wherein the silica-rich RE disilicate material includes excess silica compared to a stoichiometric RE disilicate material, wherein the barrier coating includes a first domain including the silica-rich RE disilicate material and a second phase, the second phase being disposed at grain boundaries, splat boundaries, or both of the barrier coating.

Abstract: A processor-implemented method of providing a customizable virtual representation for selection and purchase of construction products and associated installation products, using a computing device is provided.

Abstract: A gateway device of a trailer includes a processing circuit configured to enable bi-directional communication between electrical devices at the trailer and an electrical system of the tractor; and a housing encompassing the processing circuit and coupled to an underside of the trailer, the housing including a terminal configured to be electrically coupled to an electrical socket at a front side of the trailer via a single cable that passes through a kingpin plate at the underside of the trailer.

Abstract: A personalized natural language processing system tokenizes a plurality of sets of raw text data to generate a plurality of sets of tokenized text data for the plurality of users, respectively. The tokenized text data includes a sequence of tokens corresponding to the raw text data, the tokens at least identifying distinct words or portions of words in the raw text. The system appends predetermined user-specific tokens to the sets of tokenized text data from the users, respectively. Each predetermined user-specific token corresponds to one of the users. The system processes the sets of tokenized text data using the NLP model in accordance with the appended predetermined user-specific tokens to predict a personalized classification for the sets of tokenized text data from each of the users, and outputs the personalized classifications of the tokenized text data for each of the users.

Abstract: Disclosed herein are lipid nanoparticle (LNP) compositions encapsulating nucleic acid constructs for systemically delivering muscle proteins or protein complexes to muscle tissues.

Abstract: Methods, systems, and devices for evaluating a sleep quality of a user using wearable-based data are described. The sleep quality of a user may be evaluated by combining physiological data collected via a wearable device, along with environmental sound data collected via one or more external devices. For example, a microphone on a device may monitor environmental sounds while a user sleeps, and the environmental sounds may be used to improve sleep stage classification. Additionally, or alternatively, sound instances occurring throughout a sleep interval may be identified. In some examples, sound data may be combined with other data, such as physiological data, to determine relationships between the sleep sound data and sleep quality. An indication of the sleep stages and transitions between the sleep stages, the sound instances, the sleep quality, or a combination thereof, may be presented to the user via an application.

Abstract: An article may include a substrate, such as a silicon-containing ceramic matrix composite, an environmental barrier coating (EBC) layer on the substrate, and a CMAS-resistant EBC layer on the EBC layer. The EBC layer may include at least one rare-earth disilicate (REDS). The CMAS-resistant EBC layer may include at least one rare-earth monosilicate (REMS) configured to react with CMAS to form crystalline reaction products. The CMAS-resistant EBC layer may include a plurality of vertical cracks extending from a surface of the CMAS-resistant EBC layer at least partially into the CMAS-resistant EBC layer. Additionally, or alternatively, the EBC layer may include a plurality of vertical cracks extending from a surface of the EBC layer into at least a portion of the EBC layer.

Abstract: The present disclosure relates to systems and methods for an interactive, intelligent hub built around the completion of a task. This hub brings together resources, information, suggested steps, and other automated assistance to facilitate the completion of the task. AI-based assistance may indicate which steps can be completed by automated processes, and dispatch those processes, or suggest resources to assist in the completion of other steps. The hub displays the current status of the task, and lives until the completion of the task, or abandonment by the user.

Abstract: The embodiments of the present disclosure provide a sensor substrate for a charged particle optical device and/or a charged particle assessment apparatus, the sensor substrate comprising: at least one distance sensor configured to generate a measurement signal representative of a distance between the distance sensor and a facing surface of a target; and at least one charged particle optical component.

Abstract: Disclosed herein are novel lipids that can be used in combination with other lipid components, such as helper lipids, structural lipids, and cholesterols, to form lipid nanoparticles for delivery of therapeutic agents, such as nucleic acids (e.g., circular polynucleotides), both in vitro and in vivo.

Abstract: A personalized natural language processing system tokenizes a plurality of sets of raw text data to generate a plurality of sets of tokenized text data for the plurality of users, respectively. The tokenized text data includes a sequence of tokens corresponding to the raw text data, the tokens at least identifying distinct words or portions of words in the raw text. The system appends predetermined user-specific tokens to the sets of tokenized text data from the users, respectively. Each predetermined user-specific token corresponds to one of the users. The system processes the sets of tokenized text data using the NLP model in accordance with the appended predetermined user-specific tokens to predict a personalized classification for the sets of tokenized text data from each of the users, and outputs the personalized classifications of the tokenized text data for each of the users.

Abstract: A lifting column has five column elements that are arranged in a nested manner, at least in portions, as well as a first screw drive for the movement of the three innermost column elements relative to one another and a second screw drive for the movement of the three outermost column elements relative to one another. A coupling tube arrangement is provided which operatively connects the first screw drive with the second screw drive.

Abstract: A battery power supply (BPS) circuit to power an intermittently powered load, optimized to maximize battery capacity utilization and extend battery life, while offering low temperature performance. The BPS includes a voltage converter connected to a battery for generating a voltage greater or less than the battery voltage, a current limiter configured to limit current in a current limiting mode and to provide a shunt in a noncurrent limiting mode, a capacitor tank for providing an output voltage to the load and first charged to a voltage up to 95 or 100% (depending upon the operation of the BPS) of a desired output voltage, and second charged to the desired output voltage when the current limiter is shunted. Optionally, a relaxation/stabilization period is then applied before the load is enabled to maximize battery life. The BPS also provides a low power mode of operation while the load is disabled or in a sleep mode of operation.

Abstract: The present disclosure relates to systems and methods for an interactive, intelligent hub built around the completion of a task. This hub brings together resources, information, suggested steps, and other automated assistance to facilitate the completion of the task. AI-based assistance may indicate which steps can be completed by automated processes, and dispatch those processes, or suggest resources to assist in the completion of other steps. The hub displays the current status of the task, and lives until the completion of the task, or abandonment by the user.

Abstract: An engine comprises an air intake arrangement configured to receive air; a heat exchanger arrangement arranged downstream of the air intake arrangement, configured to cool the air, and comprising a plurality of heat exchanger modules; and one or more turbomachinery components configured to receive cooled air from the heat exchanger arrangement. The plurality of heat exchanger modules are arranged to be generally centred on and to be arranged along a longitudinal axis of the engine. At least one of the plurality of heat exchanger modules is arranged to at least partially overlap with at least one other one of the plurality of heat exchanger modules relative to the longitudinal axis of the engine.

Abstract: A system and method to provide computer support for a meeting of invitees comprises accessing one or more sensory data streams providing digitized sensory data responsive to an activity of one or more of the invitees during the meeting, the one or more sensory data streams including at least one audio stream. The method also comprises subjecting the at least one audio stream to phonetic and situational computer modeling to recognize a sequence of words in the audio stream and to assign each word to an invitee, subjecting the sequence of words to semantic computer modeling to recognize a sequence of directives in the sequence of words, and releasing one or more output data streams based on the sequence of directives, the one or more output data streams including one or more notifications.

Abstract: The embodiments of the present disclosure provides a detector inspection device for interrogating at least part of a detector comprised in a charged particle-optical assessment apparatus, the detector inspection device comprising: a coupler configured to be positioned proximate to a detector element of a detector; and a device controller configured to apply a stimulating signal to the coupler to stimulate a response signal in the detector for interrogating at least part of the detector.