Abstract: Devices and methods for characterization and control of biopolymers and synthetic polymers during manufacturing. The device may include a body defining a fluid flow path. The body may be configured to receive a process flow liquid such that the process flow liquid may flow through an interior portion of the body. The body may also include a plurality of detectors inserted into said body, each of the plurality of detectors configured to monitor one or more process characteristics.

Abstract: A method for stratified-sampling-based query execution includes: receiving a query; collecting a first data sample from the first dataset using a non-stratified sampling technique; performing statistical analysis on the first data sample; identifying a stratum classifier from the statistical analysis; generating a stratum classification by calculating strata boundaries for the stratum classifier; and calculating a result to the query based on analysis of the second data sample.

Abstract: The invention describes catheter systems and methods for accessing the brain during endovascular/neurointervention procedures in the treatment of ischemic stroke. More specifically, a multi-axial catheter system and kit is described that improves the process of accessing a carotid artery particularly in patients having a tortuous aortic arch and thereafter improves the process of gaining access to the brain to enable the insertion of aspiration and/or the deployment clot retrieval devices. In addition, methods of utilizing these systems are described.

Abstract: In variants, the method for change analysis can include detecting a rare change in a geographic region by comparing a first and second representation, extracted from a first and second geographic region measurement sampled at a first and second time, respectively, using a common-change-agnostic model.

Abstract: A universal deep probabilistic decision-making framework for dynamic process modeling and control, referred to as Deep Probabilistic Decision Machines (DPDM), is presented. A predictive model enables the generative simulations of likely future observation sequences for future or counterfactual conditions and action sequences given the process state. Then, the action policy controller, also referred to as decision-making controller, is optimized based on predictive simulations. The optimal action policy controller is designed to maximize the relevant key performance indicators (KPIs) relying on the predicted experiences of sensor and target observations for different actions over the near future.

Abstract: A system for streamlining health insurance claims adjudication in musculoskeletal diagnostics and interventions, the system causing a server to: process at least one document and image to produce at least one document and image feature; extract the at least one document and image feature to produce an extracted document and image feature; extract, via a classification and interpretation algorithm, the at least one peer review to produce an extracted opinion feature; analyze at least one social determinant of health to produce at least one analyzed social determinant of health; compile the extracted document feature, the extracted image feature, the extracted opinion feature, and the at least one analyzed social determinant of health to produce a compiled patient data; evaluate the compiled patient data; and produce, based upon the evaluation of the compiled patient data, at least one of a claim approval and a claim denial.

Abstract: Systems and methods generate a risk score for an account event. The systems and methods automatically generate a causal model corresponding to a user, wherein the model estimates components of the causal model using event parameters of a previous event undertaken by the user in an account of the user. The systems and methods predict expected behavior of the user during a next event in the account using the causal model. Predicting the expected behavior of the user includes generating expected event parameters of the next event. The systems and methods use a predictive fraud model to generate fraud event parameters. Generation of the fraud event parameters assumes a fraudster is conducting the next event, wherein the fraudster is any person other than the user. The systems and methods generate a risk score of the next event to indicate the relative likelihood the future event is performed by the user.

Abstract: An apparatus includes a housing and a chamber. The chamber is configured to hold analyte. The chamber includes a reflective element, either a reflective coated layer or a reflective mirror, to return optical signals entering the analyte. A window is coated with an anti-reflective material or has negligible optical interference. A cap seals the chamber and the housing. A flow channel is provided within the housing and the chamber assembly to allow the analyte to flow through with reduced bubble entrapment as the cap is tightened to seal the chamber assembly.

Abstract: A method exposes risk types of biomedical information. The method includes processing a plurality of result graphs to generate an evidence graph, in response to a query; presenting the evidence graph with a node corresponding to a result graph of the plurality of result graphs, wherein the result graph corresponds to a file; and presenting the node with a risk icon indicating a subset of files is identified with one or more risk types.

Abstract: In variants, the method for property condition analysis can include: determining a measurement, optionally determining a set of property attributes, determining a condition score, optionally providing the condition score, and optionally training a condition scoring model.

Abstract: A method implements an experiment architect. The method includes receiving an entity identifier; searching a plurality of result graphs using the entity identifier to identify a file comprising content corresponding to the entity identifier; and presenting a figure from the file in response to identifying the file.

Abstract: A method implements reagent selection. The method includes receiving a search request comprising an entity type and an entity name; searching biomedical data to identify a set of biomedical sources that correspond to the entity name using an ontology library; and presenting an image from a biomedical source, of the set of biomedical sources, wherein the image corresponds to the entity name.

Abstract: A method implements evidence network navigation. The method includes receiving a user input corresponding to an entity of an ontology library; and generating an evidence graph using the user input, wherein the evidence graph includes an evidence node representing the entity from the ontology library and includes an evidence edge representing a file that includes the entity in a result graph, and wherein the result graph includes a result node representing the entity and a result edge representing a semantic relationship of the result node in a sentence from the file. The method further includes presenting the evidence graph.

Abstract: A method implements an evidence result network. The method includes receiving a file; tokenizing a sentence from the file to generate a set of tokens; processing the set of tokens to generate a tree for the sentence. The method further includes processing the tree to generate a graph for the sentence; processing the graph to identify correspondences between nodes of the graphs and types of entities of an ontology library; and presenting the graph.

Abstract: Devices and methods for determining the cumulative distribution of a polymer property in a reactor without physical separation of reaction subcomponents. The device includes a means of measuring an instantaneous property of the polymers being produced in a reaction vessel a plurality of times during a polymerization reaction as well as a means of determining the corresponding change in polymer concentration in the reaction vessel between measurements of the instantaneous polymer property. The device also includes a means of computing a statistical distribution appropriate to the polymer characteristic and applying the statistical distribution to a recently measured instantaneous value of the polymer property so as to have an instantaneous distribution of the polymer property and a means of adding together the instantaneous distributions of the polymer property in order to obtain the cumulative distribution of the polymer property in the reactor.

Abstract: Example embodiments include an apparatus with a buffer amplifier having an output node. A first switchable unidirectional current path is provided between the output node and a capacitor, the first path allowing current flow from the capacitor to the output node. A second switchable unidirectional current path is provided between the output node and the capacitor, the second path allowing current flow from the output node to the capacitor. Comparator circuitry is provided that operates to open the first path if the capacitor voltage is above an upper threshold and to open the second path if the capacitor voltage is below a lower threshold. The capacitor voltage may be read by an analog-to-digital converter.

Abstract: In variants, the method for subjective property scoring can include determining an objective score for a subjective characteristic of a property using a model trained using subjective property rankings.

Abstract: A platform for providing projections, predictions, and recommendations for casino and gaming environments. The platform leverages machine learning and cognitive computing to determine and present casino promotions. The platform presents this information in a way which is natural and timely for casino operational executives to understand and act upon. The platform can optimize casino promotions based on player and casino analytics.