Abstract: Light-based visual cues may be provided, for example to assist a patient in proper use of a medication delivery device, such as a medication injection device or a medication storage container. A light source, such as an organic light-emitting diode (OLED), may be used, which, when activated, may be a visual cue to perform a medication delivery instruction and/or may illuminate medication delivery information. Some example instructions may be to remove a cap of a medication delivery device or to shake the medication delivery device. A light sensor, motion sensor, microphone and/or other sensors may also be employed to trigger activation of the light source, based on detected light, motion and/or sound.

Abstract: Various embodiments of the systems, methods, and devices are provided for controlled operation of an intravascular lithotripsy (“IVL”) system for breaking up calcified lesions in an anatomical conduit. More specifically, control arrangements are disclosed concerning managing and/or providing and/or assessing the electrical energy needed to generate an electrical arc between a set of spaced-apart electrodes disposed within a fluid-fillable member.

Abstract: A robotic surgical system can include one or more adjustable arm supports that support one or more robotic arms. The adjustable arm supports and/or robotic arms can be configured to be deployed from low mount positions, for example, from positions below the surface of the table. The robotic arms can include a plurality of joints providing a plurality of degrees of freedom. The joints may be grouped into a proximal shoulder, an elbow, and a distal wrist. The robotic arms can include one or more redundant degrees of freedom. An insertion mechanism, associated with the robotic arm and configured for providing insertion of an instrument along an assertion axis, can be provided at a distal end of the robotic arms.

Abstract: Thicker and thinner portions of a filter media sheet are provided in a filter element. The filter element includes a ring of filter media disposed around a central support tube. The filter media comprising a pleated layer of media including inner pleat tips adjacent the tube, and outer pleat tips radially outwardly spaced from the tube. The layer varies in thickness between the tips, such that a thinner portion of media is at the inner pleat tips than as at the outer pleat tips.

Abstract: The present disclosure describes GLP-1R modulating compounds that are useful for treating GLP-1R-mediated diseases or conditions.

Abstract: An excrement collection apparatus for collecting excrement from an animal before the excrement reaches the ground and without touching the excrement directly includes a ring which defines an aperture therein. The ring has a size and is configured to support a bag in the aperture via a rim of the bag folded over the ring. A receiver is coupled to and extends away from the ring, and an elongated pole is removably couplable to the receiver.

Abstract: A federated distributed computational system enables secure collaboration across multiple institutions for multi-species biological data analysis. The system consists of interconnected computational nodes managed by a central federation manager. Each node contains specialized components that work together to process multi-species biological data while preserving privacy. These components include a local computational engine that handles data processing, a physics-information integration subsystem that combines physical state calculations with information-theoretic optimization, a privacy preservation module that protects sensitive information, a knowledge integration component that manages biological data relationships, and a communication interface that enables secure information exchange between nodes. The federation manager coordinates all computational activities and manages resource allocations across the network while ensuring data privacy is maintained throughout the process.

Abstract: This disclosure describes a system including one or more lighting structures, each lighting structure comprising one or more uplights. The system further includes one or more sensors each directed towards a common focal area and a computing device in communication with each of the one or more sensors. The computing device includes one or more processors configured to control the one or more sensors to capture data descriptive of a ball moving above the common focal area. Based on the data, the one or more processors predict a motion characteristic of the ball and compare the motion characteristic to a threshold motion characteristic. In response to the motion characteristic being greater than or equal to the threshold motion characteristic, the one or more processors activate at least one of the one or more uplights.

Abstract: An inkjet printer includes at least one printhead and a transfer member to apply primer onto media before the media is printed. The at least one printhead ejects drops of primer onto the transfer member and the transfer member forms a nip with a nip roller. Entry of media into the nip and entry of the primer image on the transfer member are synchronized to enable the primer image to be transferred to the media in the nip.

Abstract: One or more light sources may be integrated with a medication delivery device, and states of the light sources may be changed. For example, a first lighting state change may be performed, such as based on a detection that an applied force meets or exceeds a threshold break force or an interaction of a movable component with a proximal sensor integrated with the medication delivery device. The first lighting state change may provide visual feedback indicating that an injection has begun. Additionally, a second lighting state change may be performed, such as based on a detection that a resistive force meets or exceeds a threshold back force or an interaction of the movable component with a distal sensor integrated with the medication delivery device. The second lighting state change may indicate that a complete dosage of the medication has been delivered from the medication delivery device.

Abstract: A vehicle braking awareness system is provided comprised of a brake signaling system designed to communicate a vehicle's braking intensity dynamically to following motorists, thereby enhancing road safety by reducing accident risks from sudden braking. The system comprises a pressure sensor assembly for detecting braking force, a microcontroller unit for processing real-time data and determining brake light patterns, a brake light assembly using high-lumen LEDs for varied light responses, and an adaptive light control module that adjusts brightness based on ambient lighting. The pressure sensor assembly includes a brake pedal and hydraulic sensors for precise force detection. The microcontroller unit ensures efficient processing with response times under 10 milliseconds. The brake light assembly produces pulsating or continuous light patterns based on braking intensity, activating LEDs within 1 to 5 milliseconds.

Abstract: A dolly apparatus for use on an assembly line includes a frame and a synchronization device mounted to the frame. The synchronization device includes a body that mounts to the frame and a synchronization leg that is configured to move up and down relative to the body. The synchronization leg includes a foot that is configured to seat against a conveyor with the synchronization leg is a lowered position. A pedal is operatively linked to the synchronization leg such that downward movement of the pedal toward an actuated position moves the synchronization leg from a raised position to the lowered position. A release plate is operatively linked to the pedal such that movement of the release plate from a locked position to a release position causes the pedal to move from the actuated position toward an initial position to raise the synchronization leg toward the raised position.

Abstract: A system for programmable control of micro-objects, such as droplets or particles, can include a microfluidic chip, a membrane displacement trap (MDT) actuation system, a pump connected to the microfluid chip, a detection system, and a control system. The microfluidic chip can have a microfluidic network with a main channel and a plurality of MDTs fluidically coupled to the main channel. The MDT actuation system can selectively actuate the plurality of MDTs, and the pump can pump a fluid into the microfluidic network. The detection system can detect a position of the micro-objects within the microfluidic chip. The control system can control the MDT actuation system and the pump to provide an operation on at least one of the micro-objects based on data received from the detection system. The operation can include generating, capturing, splitting, releasing, and/or merging of the at least one of the micro-objects.

Abstract: A system and method for AI based user experience curation across multiple scenarios and finite time horizons of interest. The present invention integrates connectionist and symbolic AI techniques to generate coherent, relevant, and personalized content across various domains. The invention bridges the gap between connectionist AI and symbolic AI, enabling more adaptive, immersive, and engaging user experiences while prioritizing security and traceability and contextualization considerations behind recommendations or content generation. The platform furthers dynamic and tailored user interactions with digital systems across individual interactions, preferences, sequences and ongoing engagements across sessions by leveraging the power of analytics, deep learning, and AI to create truly intelligent, dynamic, and responsive user experiences enhanced with optimization and planning faculties.

Abstract: Techniques for creating an interest graph include obtaining content items from multiple content sources and applying tailored (e.g., source-specific) preprocessing to the content items based on their respective content source. Text is extracted and salient keywords and key phrases are identified using unsupervised machine learning models. The keywords and key phrases become nodes in an interest graph, each node comprising an embedding of a keyword or key phrase in a common embedding space, with edges representing semantic similarity based on embeddings or co-engagement patterns. The graph provides an expansive, granular, and dynamic taxonomy easily adaptable to emerging interests. The interest graph overcomes limitations of conventional taxonomies that lack depth, fail to capture niche interests, and cannot adapt to reflect evolving user preferences. The described techniques construct a rich interest graph from diverse content for improved content understanding.

Abstract: A method for providing an electronic device includes manufacturing the electronic device at a manufacturing location, wherein manufacturing the electronic device includes connecting a wireless receiver system to the electronic device. The method further includes packaging the electronic device at a packaging location. The method further includes wirelessly transmitting data to the electronic device at a data transmission site, wherein wirelessly transmitting the data to the electronic device is performed by transferring data via near field magnetic induction utilizing a wireless transmission system and transmitting data via an out of band communications system, the wireless transmission system configured to magnetically connect with the wireless receiver system associated with the electronic device.

Abstract: A scalable platform for orchestrating networks of specialized AI multi-agent networks that enables secure collaboration through token-based protocols and real-time result streaming with advanced dynamic chain-of-thought pruning. The central orchestration engine manages domain-specific agents, implementing sophisticated multi-branch reasoning with contribution-estimation layers that evaluate each agent's utility using Shapley value-inspired metrics. The system employs information-theoretic and gradient-based surprise metric to guide memory updates and dynamic reasoning expansion, preventing local minima stagnation while preserving valuable insights through adaptive forgetting mechanisms. The platform unifies Monte Carlo tree search with contribution-aware estimation to detect high-synergy expert combinations while maintaining privacy through partial data approaches.

Abstract: A federated distributed computational system enables secure collaboration across multiple institutions for biological data analysis. The system consists of interconnected computational nodes managed by a centralized or decentralized federation manager, depending on the deployment model. Each node contains specialized components that work together to process biological data while preserving privacy. These components include a local computational engine that handles data processing, a privacy preservation module that protects sensitive information, a knowledge integration component that manages biological data relationships by connecting various data sources, and a communication interface that enables secure information exchange between nodes. The federation manager coordinates all computational activities across the network while ensuring data privacy is maintained throughout the process.

Abstract: A federated distributed computational system enables secure biological data analysis and genomic medicine through hybrid simulation capabilities. The system implements a hybrid simulation orchestrator that coordinates classical numerical simulations with machine learning models for biological system analysis, while maintaining secure cross-institutional data exchange. The architecture coordinates multi-scale spatiotemporal synchronization across computational nodes, with each node containing local processing capabilities for biological data analysis and privacy preservation protocols. The system implements cellular machinery assembly analysis, real-time patient data integration, and multi-modal image integration with spatiotemporal health data annotation. Through a distributed graph architecture, the system enables cross-species genetic analysis, environmental response modeling, and multi-scale tensor-based data integration with adaptive dimensionality control.

Abstract: Image fingerprints (embeddings) are generated by an image fingerprinting model and indexed with an approximate nearest neighbors (ANN) model trained to identify the most similar fingerprint based on a subject embedding. For image matching, a score is provided that indicates a similarity between the input embedding and the most similar identified embedding, which allows for matching even when an image has been distorted, rotated, cropped, or otherwise modified. For image classification, the embeddings in the index are clustered and the clusters are labeled. Users can provide just a few images to add to the index as a labeled cluster. The ANN model returns a score and label of the most similar identified embedding for labeling the subject image if the score exceeds a threshold. As improvements are made to the image fingerprinting model, a converter model is trained to convert the original embeddings to be compatible with the new embeddings.