Abstract: The invention relates to systems and methods to assist physicians in decision making for stroke patients. In particular the systems and methods can be used to assist physicians to decide on whether a patient with an acute ischemic stroke has a large vessel occlusion (LVO) and should be transferred from a community hospital to a larger hospital to undergo an endovascular thrombectomy procedure.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

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: This application relates to systems and methods for generating desired or optimized event schedules. An example computer-implemented method of dynamically generating an event schedule includes: receiving one or more parameters for a series of live events to be held in a plurality of geographic regions; generating a schedule for the series of live events based on the one or more parameters; and automatically updating the schedule based on a change to the one or more parameters.

Abstract: The present disclosure is related to a method of geo-clustering of data for de-identification of a dataset. The method includes generating a plurality of geoclusters based on a plurality of geocodes. The geocodes may include ZIP codes or postal codes. The method further includes identifying the geoclusters having the smallest population. The geocluster having the smallest population is iteratively merged with the nearest geocluster until a minimum population threshold is met. Once the smallest geocluster meets the minimum population threshold, the plurality of geoclusters can be used to cluster the geocodes within a dataset to be de-identified.

Abstract: Methods, techniques, apparatus, and algorithms are described for robustly measuring real-world distances using any mobile device equipped with an accelerometer and monocular camera. A general software implementation processes 2D video, precisely tracking points of interest across frames to estimate the unsealed trajectory of the device, which is used to correct the device's inertially derived trajectory. The visual and inertial trajectories are then aligned in scale space to estimate the physical distance travelled by the device and the true distance between the visually tracked points.

Abstract: A method for rapid data analysis includes receiving and interpreting a first query operating on a first dataset partitioned into shards by a first field; collecting a first data sample from a first set of data shards; calculating a first result to the first query based on analysis of the first data sample; and partitioning a second dataset into shards by a second field based on the first result.

Abstract: In variants, the method for automatic debris detection includes: determining a region image; optionally determining a parcel representation for the region image; generating a debris representation using the region image; generating a debris score based on the debris representation; and optionally monitoring the debris score over time.

Abstract: Systems and methods are provided for electronic stimulus evaluation through one or more signals. The one or more signals protect underlying raw data relating to behavior, including purchase behavior and location-based behavior. A server platform in network communication with at least one signal buyer computer and at least one signal provider computer facilitates creation of the one or more signals. Anonymized identifiers are used to identify objects or consumers associated with behavior data and exposure to the electronic stimulus. The server platform provides optimization analytics for the stimulus based on the one or more signals, which include measurement signals, behavior signals, and lift signals.

Abstract: A method and system are disclosed which measure the functionality of a network services provider to determine its likelihood of failure. The method and system enable a point of failure to be identified and isolated by using a successive scoring system which looks at a network services provider at a resource, functionality and overall provider level.

Abstract: An analyzer for a grease interceptor for measuring levels of fat, oils, 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.

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 method for modeling agent awareness in an agent based model, the method including the steps of tracking a ratio of indicators for each agent and varying the ratio of indicators for an agent upon the occurrence of a triggering event for that agent. The method further includes using the ratio as a factor to model the agent's awareness.

Abstract: Disclosed is a computer-implemented method of generating a time-series of data sets for predictive analysis from data comprising input variables and an output variable recorded at sequential time points, the method comprising: dividing the data into a collection of observations, each observation comprising: a subset of sequential time points; associated input variables; and an output variable recorded at a forecasting time point beyond the latest sequential time point of the subset; and using the collection of observations in a convolution neural network to predict the output at the forecasting time point of a streaming data set.

Abstract: A technique for integrating documents and data into a policy management system issues an event trigger from a memory system upon receipt of documents and data related to an insurance policy. An SFTP system runs software for identifying documents and data required for the insurance policy and designating access rights to the same by users and vendors and for specifying actions to be performed upon receipt of the identified documents and data. The event trigger causes the SFTP system to perform the specified actions associated with the received document or data and to push the uploaded documents and/or the results from performance of the specified actions to the users and/or vendors having access rights to the uploaded documents and/or results. The insurance policy is represented in a JSON data structure that defines the document and data management policies and an order of process tasks required for the insurance policy.

Abstract: Methods and systems to predict a supply chain performance are described. A system receives supply chain data for delivery of a product. The supply chain data includes input signals comprising operational plans and observed supply chain operational metrics. The input signals include a delivery date of the product. The system automatically generating predicted supply chain operational metrics across including a value at risk that is predicted for the product. The system automatically infers causal factors that impact the predicted supply chain operational metrics including impacting the value at risk that is predicted for the product. The system automatically generates action recommendations for the supply chain. An action recommendation includes a first predicted value impact and a sequence of actions impacting the product the delivery date of the product and the value at risk that is predicted for the product.

Abstract: A method for modeling agent awareness in an agent based model, the method including the steps of tracking a ratio of indicators for each agent and varying the ratio of indicators for an agent upon the occurrence of a triggering event for that agent. The method further includes using the ratio as a factor to model the agent's awareness.

Abstract: A method for enhancing rapid data analysis includes receiving a set of data; storing the set of data in a first set of data shards sharded by a first field; and identifying anomalous data from the set of data by monitoring a range of shard indices associated with a first shard of the first set of data shards, detecting that the range of shard indices is smaller than an expected range by a threshold value, and identifying data of the first shard as anomalous data.

Abstract: A system, a method, and a computer program embodied on a non-transitory computer-readable medium, the program configured to cause at least one processor to perform steps including gathering observations and forecasts of a plurality of aviation environmental and operational data of a terminal airspace, independently transforming the observations and forecasts into respective terminal airspace risk factors; integrating the terminal airspace risk factors into operational time periods; weighting the integrated terminal airspace risk factors into an overall airspace risk score for each operational time period; categorizing the overall airspace risk score into a terminal airspace risk category based upon at least one predetermined risk score threshold; and displaying the risk categories and selected underlying risk factors data on a map with a plurality of display panes.

Abstract: A document relationship analysis system. Aspects of the system include ingesting, discovering, recommending, analyzing, and exporting documents of interest. The system dynamically searches large or streaming datasets using a tiered, multi-step approach that includes discovery techniques and recommender components to filter and refine these larger datasets to smaller datasets of documents of interest. The system dynamically selects and renders an appropriate visualization for result datasets based on predetermined measures that allow for facilitate analysis of the documents of interest.