Abstract: In one aspect, a liquid collector having a forward lower edge, a connecting wall portion extending downwardly from the forward edge, a first layback wall portion connected to the connecting wall portion and extending upwardly and rearwardly from the connecting wall portion, an intermediate upper edge of the layback wall portion rearward of and above the forward lower edge. The liquid collector further includes an air diverter wall portion extending rearwardly from the first layback wall portion below the intermediate upper edge, a second layback wall portion extending upwardly and rearwardly of the air diverter wall portion, and a rearward upper edge of the second layback wall portion rearward of the intermediate upper edge and above the forward lower edge.

Abstract: There is a need for more effective and efficient predictive data analysis. This need can be addressed by, for example, solutions for performing/executing hybrid input predictive data analysis.

Abstract: Methods, systems, and non-transitory computer readable mediums are disclosed for recommending medically-relevant articles. One method comprises receiving health data associated with a patient, storing the health data in a data structure as historical patient data, identifying new appointment scheduling data associated with the patient, determining an appointment subject associated with the new appointment scheduling data, determining a correlation between the new appointment scheduling data and the historical patient data, searching one or more databases for one or more relevant articles, retrieving the one or more relevant articles, generating a recommendation for the one or more relevant articles, and presenting the recommendation for the one or more relevant articles to a user through at least one of a news feed, a calendar, or an electronic medical record (EMR) associated with the patient.

Abstract: Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for multi-node system monitoring using one or more distributed ledgers, wherein a ledger entry request received from a miner node computing entity is validated based at least in part on executing a hierarchical validation workflow that comprises an ordered sequence of L validation iterations, wherein each of one or more ith non-initial validation iterations is performed based at least in part on an association of an (i?1)th validation iteration with a non-affirmative validation determination.

Abstract: This disclosure describes techniques that include a method for estimating healthcare costs, the method comprising applying, by a computing system, a machine learning (ML) model to a user subgraph of a current user to generate an estimated healthcare cost of the current user for a future time period, wherein the user subgraph of the current user is graph data comprising nodes and edges that represent information associated with medical care of the current user; and generating, by the computing system, a user interface including a budget for the future time period that includes the estimated healthcare cost and a list of selectable medical expense categories, wherein each of the selectable medical expense categories includes an associated cost.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for processing an inclusion of an entity for an event. In accordance with one embodiment, a method is provided that includes: determining whether a graph representation data object comprises an inbound edge connecting an entity node representing the entity with an event node representing the event; and responsive to determining the graph representation data object comprises the inbound edge, performing an action involving inclusion of the entity for the event. The inbound edge is generated via an inbound edge generator machine learning model configured to: traverse entity and/or inclusion edges of the graph representation data object to identify inclusion and entity edges connected, generate an entity score data object for the entity based at least in part on the inclusion edges, and responsive to the data object satisfying a threshold, generate the inbound edge.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by using a graph-based recurrence classification machine learning framework that includes a graph neural network machine learning model and a recurrence classification machine learning model, where the recurrence classification machine learning model is configured to generate a predicted recurrence classification based at least in part on one or more graph-based features generated by a graph neural network machine learning model and one or more entity features associated with an entity identifier for an incoming event.

Abstract: Methods, apparatuses, systems, computing devices, and/or the like are provided. An example method may include generating edges connecting attribute vertices to a member vertex in a healthcare graph data object, determining, using at least one graph-based machine learning model and based at least in part on the attribute vertices, historical member vertices from the healthcare graph data object, determining, using the at least one graph-based machine learning model and based at least in part on the historical member vertices, historical member query vertices from the healthcare graph data object, generating, based at least in part on the historical member query vertices, predicted member query vertices in the healthcare graph data object, and performing one or more prediction-based actions based at least in part on the one or more predicted member query vertices.

Abstract: There is a need for more accurate and more efficient optimized scheduling operations. This need can be addressed by, for example, techniques for performing one or more optimized scheduling operations. In one example, a method includes: determining, using an optimal event time prediction learning machine model, a predicted interactivity measure for an event data object; determining, based at least in part on the predicted interactivity measure and using an optimal event time prediction machine learning model, an optimal event time modification value for the event data object; and determining, by one or more processors, an optimized appointment prediction based at least in part on optimal event time modification value.

Abstract: An inductive-capacitive resonant sensor architecture includes an inductively-coupled extender (ICE) that can both increase read range and lessen the effects of reader/sensor misalignment. The ICE can include a first coil configured with respect to a resonant sensor and a second coil separated from the first coil and coupled to the first coil by electrical wires. An external reader can be arranged with respect to the second coil. This architecture can nearly eliminate misalignment issues between the external reader and the resonant sensor. The ICE can be implemented with a closed circuit design. Additional apparatus, systems, and methods are disclosed.

Abstract: A mechanism for modifying existing exercise machines to enable them to move fluid in addition to providing variable resistance to the operator. This may include at least one original equipment manufacturer (OEM) pull, push, or rotational motion exercise machine and the described retrofit system and method to allow for fluid pumping.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for processing an inclusion of an entity for an event. In accordance with one embodiment, a method is provided that includes: determining whether a graph representation data object comprises an inbound edge connecting an entity node representing the entity with an event node representing the event; and responsive to determining the graph representation data object comprises the inbound edge, performing an action involving inclusion of the entity for the event. The inbound edge is generated via an inbound edge generator machine learning model configured to: traverse entity and/or inclusion edges of the graph representation data object to identify inclusion and entity edges connected, generate an entity score data object for the entity based at least in part on the inclusion edges, and responsive to the data object satisfying a threshold, generate the inbound edge.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for processing an inclusion of an entity for an event. In accordance with one embodiment, a method is provided that includes: determining whether a graph representation data object comprises an inbound edge connecting an entity node representing the entity with an event node representing the event; and responsive to determining the graph representation data object comprises the inbound edge, performing an action involving inclusion of the entity for the event. The inbound edge is generated via an inbound edge generator machine learning model configured to: traverse entity and/or inclusion edges of the graph representation data object to identify inclusion and entity edges connected, generate an entity score data object for the entity based at least in part on the inclusion edges, and responsive to the data object satisfying a threshold, generate the inbound edge.

Abstract: A smoking substitute system and device comprising a heater apparatus for a heat not burn smoking substitute device, the heater apparatus comprising a solid blade-type heating element adapted for insertion into a consumable for the heat not burn smoking device, wherein the heating element has a multi-sectional cross section comprising at least two sections, each of the sections having a surface normal vector with a direction; and wherein the directions of the surface normal vectors are non-parallel.

Abstract: According to various aspects, a resonator includes a paper base. The paper base includes a channel bounded by least partially infused wax into the paper base. The resonator further includes an electronically conductive segment physically contacting the paper base. The resonator further includes a hydrogel component coating at least a portion of the electronically conductive segment.

Abstract: The present disclosure provides a resonator system for detecting perspiration. The system includes a resonator. The resonator includes an electronically conductive segment. The resonator further includes a polymeric component coating at least a portion of the electronically conductive segment. The resonator further includes a fluidic channel component positioned adjacent to the polymeric component and comprising a microfluidic channel.

Abstract: Various embodiments relate to a resonator system that can be used to monitor proteins, cells, or small molecules in a container. A resonant sensor, embedded in or on the container, can have an inductive element and a capacitive element, where the container and resonant sensor are structured such that, when a concentration of the proteins, cells, or small molecules in the container changes, dielectric permittivity and conductivity of the proteins, cells, or small molecules contributes to capacitance of the resonant sensor to affect a resonant frequency shift of the resonant sensor. Interrogating the resonant sensor can be conducted wirelessly along with wirelessly transmitting data collected from the interrogation. Additional apparatus, systems, and methods are disclosed.

Abstract: A hanging bracket for supporting a suspended apparatus and a control unit housing includes a base having a first end and a second end. The first end includes a first surface and a first screw boss therethrough, and the second end includes a second surface and a second screw boss therethrough. The bracket also includes a support portion vertically spaced from the base, where the support portion adapted to support the suspended apparatus, and a neck extending between the base and the support portion. At least the first surface of the first end of the base, the second surface of the second end of the base, and the first and second screw bosses collectively form an interface configured for juxtaposition with complementary surfaces and screw holes of the control unit housing.

Abstract: An analytics platform and architecture is disclosed that improves the capture, extraction, and reporting of data required for certain measures, provides real-time data surveillance, dashboards, tracking lists, and alerts for specific, high-priority data, and offers dynamic, ad-hoc reporting capabilities. The platform includes a data extraction facility that gathers data from numerous sources, a data mapping facility that identifies and maps key data elements and links data over time, a data normalization facility to normalize the data and, optionally, de-identify the data, a flexible data warehouse for storing raw data or longitudinal data, an analytics facility for data mining, analytic model building, risk identification, benchmarking and tracking. The improved platform and architecture integrates social networking technology and analysis (SNA) on data to cluster data for more efficient, technically improved and focused processing.