Abstract: The method for property typicality determination can include: determining a property, determining attribute values for the property, determining a reference population for the property, determining reference population attribute values, determining a typicality metric for the property, and optionally determining an influential attribute.

Abstract: The invention provides a system and related equipment for the precise measurement of the output characteristic of a light source, e.g., a dental light curing unit (LCU) or light for photodynamic therapy, using a light collector, a light detector, and a computer programmed to deliver the value of the output characteristic of the light source to the user. The systems allow for the determination of a proper exposure time or the selection of a light source as needed for a specific application.

Abstract: An artificial intelligence (AI)-based defect diagnosis system for automatic identification of one or more defect drivers in a manufacturing environment is presented. The diagnosis system includes an input data module, an input specifications module, a product selection module, a product grouping module, a defect driver identification module, and an output module. A related method is also presented.

Abstract: A control flow graph representing a plurality of controls is constructed, wherein each control comprises a measure taken to counter threats to an IT infrastructure. For each path through the control flow graph, a metric quantifying an efficacy of the controls along the path in countering the threats is calculated. A threat strength distribution for threats to the IT infrastructure is constructed. A visualization of an efficacy of a combination of the plurality of controls is generated, based on the metrics, the control flow graph, and the threat strength distribution. A weakness in the plurality of controls is identified, based on the visualization. The plurality of controls is modified based on the identifying.

Abstract: A computerized-method for initiating a sandbox-testing-process-flow associated with a client-entity, within a server runtime environment and configuring said sandbox testing process flow with money laundering-detection-rules is provided herein.

Abstract: A method and/or system that can be implemented on a computing device or tables or board game or otherwise uses a rule set to evaluate data about a situation and actors in order to provide advice regarding strategies for influencing actors and/or other outputs.

Abstract: Disclosed is a method for an intermediary mapping an de-identification comprising steps of retrieving datasets and meta data from a data source; selecting a target standard; mapping the retrieved datasets and the metadata to the target standard, wherein the datasets and the metadata are mapped to the target standard using one of, a schema mapping, a variable mapping, or a combination thereof; infer one or more of, variable classifications, variable connections, groupings, disclosure risk settings, and de-identification settings using the dataset mapping and metadata; perform a de-identification propagation using the mapped datasets, the mapped metadata, the inferred variable classifications, the inferred variable connections, the inferred groupings, the inferred disclosure risk settings, the inferred de-identification settings, or a combination thereof.

Abstract: An analyzer for a grease interceptor for measuring identity of materials and levels of fat, oil, and grease (FOG), water, sludge and air having a probe which includes a controller and a sensor sub-unit. Sensor circuits include a microcontroller, timers, and sampling capacitors. The sensor sub-unit includes a plurality of electrode ring pairs coupled to a plurality of timers for converting capacitance measurements to frequencies under the control of a microprocessor in the controller. The frequencies identify the measured levels. A calibration of the probe converts a range of frequency values of each sensor circuit to an arbitrary scale for improved accuracy.

Abstract: Aspects relate to methods and systems for detecting a weak cell of a battery. The system including a battery including a plurality of cells, a plurality of sensors configured to detect a potential of each cell of the plurality of cells over time for a duration, and a computing device configured to receive the potential of each cell of the plurality of cells, determine at least an outlier cell from the plurality of cells, as a function of the potential of each cell of the plurality of cells, and filter the at least a weak cell as a function of the at least an outlier cell.

Abstract: System and method to produce an anonymized cohort having less than a predetermined risk of re-identification. The method includes receiving a data query of requested traits for the anonymized cohort, querying a data source to find records that possess at least some of the traits, forming a dataset from at least some of the records, and grouping the dataset in time into a first boundary group, a second boundary group, and one or more non-boundary groups temporally between the first boundary group and second boundary group. For each non-boundary group, calculating maximum time limits the non-boundary group can be time-shifted without overlapping an adjacent group, calculating a group jitter amount, capping the group jitter amount by the maximum time limits and by respective predetermined jitter limits, and jittering said non-boundary group by the capped group jitter amount to produce an anonymized dataset. Return the anonymized dataset.

Abstract: A computer-implemented method of dynamically determining when to broadcast video content. The method includes providing one or more content parameters corresponding to broadcasted video content to a machine learning (ML) model, iteratively training the ML model to identify relationships between the one or more content parameters and viewership ratings associated with the broadcasted video content, receiving one or more content parameters corresponding to unaired video content, wherein the one or more content parameters include a desired platform for broadcasting the unaired video content, receiving viewership data associated with the unaired video content and/or the desired platform, providing the one or more content parameters and the viewership data to the trained ML model, and determining, via the trained ML model, a target time period for broadcasting the unaired video content on the desired platform that maximizes a projected viewership rating of the unaired video content.

Abstract: A method and/or system that can be implemented on a computing device or tables or board game or otherwise uses a rule set to evaluate data about a situation and actors in order to provide advice regarding strategies for influencing actors and/or other outputs.

Abstract: Systems and methods for utility intervention are disclosed. The method of utility intervention includes: (i) obtaining utility data from a utility data repository; (ii) detecting, using at least one type of anomaly-detecting module, at least one utility anomaly and a location address; (iii) calculating an amount of financial savings for the utility anomaly if the utility anomaly was remedied or addressed; (iv) computing a certainty score for the utility anomaly; (v) conveying information about the type of utility anomaly, and the location address of the utility anomaly; and (vi) displaying, on a display screen of a client device, a map depicting a geographical area that identifies, using a flag icon, the location address on the map of the utility anomaly, the type of the utility anomaly, a certainty score for the utility anomaly, and/or an amount of financial savings associated with the utility anomaly.

Abstract: The present invention discloses numerous implementations of system and method which receives a user request and, using methods of natural language processing including part of speech tagging, analyses the user request to generate a query to a database of information. Based on the machine understanding, the system presents an interactive representation of the uttered request back to the user. This provides context to the user, which explains the machine understanding of the request and acts as an interface to iteratively refine or adjust the machine understanding by altering specific elements of the uttered language. The methods of altering specific elements of the uttered language may vary depending on the element and a variety of user selectable interfaces may be used to display one or more queried elements along with alternative elements pertaining to the queried element. The user could select an alternative element and change the database query.

Abstract: The present disclosure relates to a game evaluation method, evaluation device, and evaluation program. With the game evaluation method according to the present disclosure, a computer is caused to execute: (A) a step of calculating, when a player takes action, the multiplication of an expected value for acquiring and consuming each item by the presumed number of times of the action taken by the player, on the basis of parameters in a master; and (B) a step of visualizing the balance of each item on the basis of the result of the multiplication.

Abstract: Methods and systems for controlling production resources in a supply chain are described. The system automatically generates predicted supply chain operational metrics across a nodes of a supply chain. The system automatically infers causal factors that impact the predicted supply chain operational metrics. The causal factors include a change to a utilization of the production resource. The system communicates a user interface including production runs being scheduled on the production resource including a user interface element representing the scheduling of the production run associated with a value at risk. The system receives input causing a change to the utilization of the production resource. The change to the utilization of the production resource impacts the predicted supply chain operational metrics including the value at risk associated with the scheduling of the production run.

Abstract: Provided herein are diffractometer-based global diagnostic systems and uses thereof. The systems may comprise one or more diffraction apparatus operatively coupled to a computer database over a network. The one or more diffraction apparatus may be configured for transfer of data such as pathology lab image data, diffraction pattern data, subject data, or any combination thereof to the computer database over the network. The systems may further comprise one or more computer processors operatively coupled to the one or more diffraction apparatus, which computer processors may be configured to receive the data from the diffraction apparatus, transmit the data to the computer database, and process the data using a data analytics algorithm which may provide a computer-aided diagnostic indicator for the individual subject.

Abstract: A computer system stores a database model of an object based on a plurality of updates to the object. Each update indicates a bound status of the update, a transaction date of the update, an effective date of the update, and a value of an attribute in the update. The computer system forms a view model of the object based on the database model of the object by reconstructing values of the attributes of the object from the plurality of updates with immutable bound statuses.

Abstract: Described herein is a method and model system to improve the quality of search recall in the social media communication posts that often contains the local language words written in Romanized English script. A Deep Learning Transformer based model architecture and algorithm improves the search recall for a given English query. The model is trained to find named entities from post and queries, and these entities are compared to find the matching score using a specially designed model that takes into account the post's recency and its cleanliness score. The cleanliness score is obtained from a trained LSTM based model. The input English query is expanded to a set of equivalent queries by including contextually nearest words. The number of nearest words can be controlled using a slider mechanism.

Abstract: The present disclosure provides an oral data collection device comprising a mouthguard and at least two sensors, a medical analytics system comprising the device, and methods of using the device and system to provide a personalized treatment protocol, stage a health condition, measure a response to therapy, phenotype for selection to participate in drug trials, measure stability of an anatomical structure, or predict a rate of change of a health condition in a subject in need thereof.