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: An AI-based smart asset health surveillance system for a connected system is presented. The connected system includes a plurality of production and/or process lines, wherein each of the plurality of production and/or process lines includes a plurality of assets. The smart asset health surveillance system includes a memory having computer-readable instructions stored therein; and a processor configured to execute the computer-readable instructions. The processor is configured to execute the computer-readable instructions to monitor the plurality of assets and to automatically predict one or more downtime and/or anomalous events for the plurality of assets. An AI-based smart asset health surveillance method is also presented.

Abstract: Methods and systems to de-identify a longitudinal dataset of personal records based on journalistic risk computed from a sample set of the personal records, including determining a similarity distribution of the sample set based on quasi-identifiers of the respective personal records, converting the similarity distribution of the sample set to an equivalence class distribution, and computing journalistic risk based on the equivalence distribution. In an embodiment, multiple similarity measures are determined for a personal record based on comparisons with multiple combinations of other personal records of the sample set, and an average of the multiple similarity measures is rounded. In an embodiment, similarity measures are determined for a subset of the sample set and, for each similarity measure, the number of records having the similarity measure is projected to the subset of personal records. Journalistic risk may be computed for multiple types of attacks.

Abstract: A method for generating productivity maps is provided. The method includes receiving a user input including boundaries of a geographical area and a date range; selecting, from databases of earth observation providers, based on a first criterion concerning a cloud amount, a first plurality of first images corresponding to the date range and covering at least partially the geographical area; selecting, from the first plurality of first images, based on a second criterion concerning the cloud amount, a second plurality of second images; determining, based on the second plurality of second images and a statistical criterion, a value of a vegetation index for a pixel in the geographical area to generate a plurality of values of the vegetation index; dividing, based on the plurality of values of the vegetation index, the geographical area into a set of clusters; and generating a map featuring the set of clusters.

Abstract: The subject matter herein provides a method, apparatus and computer program product that combines, in one intuitive interface, visualization user interfaces (UIs) as used for descriptive analytics, with workflow UIs as used for predictive analytics. These interfaces provide a visual workspace front-end. The workspace is coupled to a back-end that comprises a data processing engine that combines progressive computation, approximate query processing, and sampling, together with a focus on supporting user-defined operations, to drive the front-end efficiently and in real-time. The processing engine achieves rapid responsiveness through progressive sampling, quickly returning an initial answer, typically on a random sample of data, before continuing to refine that answer in the background. In this manner, any operation carried out in the platform immediately provides a visual response, regardless of the underlying complexity of the operation or data size.

Abstract: The present disclosure provides compounds that are inhibitors of PIKfyve and/or PI3 kinases, and are therefore useful for the treatment of neurological diseases treatable by inhibition of PIKfyve and/or PI3 kinases. Also provided are pharmaceutical compositions containing such compounds, and methods of treatment of neurological diseases using such compounds.

Abstract: A method for quantification of the concentration of one or more cannabinoid compounds in a liquid sample is provided. The method involves contacting the liquid sample with at least one cannabinoid-sensitive visualization reagent, allowing the at least one cannabinoid-sensitive visualization reagent to develop for a defined amount of time; and comparing the resulting color change of the at least one cannabinoid-sensitive visualization reagent to a calibrated quantification reference chart.

Abstract: Systems and methods for utility intervention are disclosed. The method of utility intervention includes: 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 disclosure provides compounds that are inhibitors of PIKfyve kinases useful for the treatment of neurological diseases treatable by inhibition of PIKfyve. Also provided are pharmaceutical compositions containing such compounds, and methods of treatment using such compounds.

Abstract: The method for determining property feature segmentation includes: receiving a region image for a region; determining parcel data for the region; determining a final segmentation output based on the region image and parcel data using a trained segmentation module; optionally generating training data; and training a segmentation module using the training data S500.

Abstract: In variants, the method for occlusion correction can include: determining a measurement depicting an occluded object of interest (OOI), optionally infilling the occluded portion of the object of interest within the measurement, and determining an attribute of the object of interest based on the infilled measurement.

Abstract: A filter insert, a sample vial incorporating a filter insert, a method of using a sample vial containing a filter insert for chemical analysis, and a sample vial kit including a filter insert. The filter insert includes a cylindrical body having a proximal end, a protrusion extending radially from the proximal end of the cylindrical body and configured to set on the open end of a sample vial, a distal end, a cavity extending longitudinally through the cylindrical body from the proximal end to the distal end, and a filter assembly coupled with the distal end of the cylindrical body.

Abstract: System and method include: receiving location information about a mobile device; creating trackable data structures; determining a movement path of the mobile device; receiving image streams from a plurality of cameras; identifying one or more cameras in the movement path; identifying relevant image streams from the identified one or more cameras in relevant to a time and location of the mobile device in the movement path, by associating the image timestamps from the identified one or more cameras with the location and the tracking timestamps of the trackable data structures in the movement path; wherein each identified relevant image stream includes a confidence level of relevance to trackable data structures in the movement path; and displaying the movement path of the mobile device and the identified relevant image streams that include a confidence level higher than a predetermined threshold on a map on a display screen.

Abstract: A data anonymization pipeline system for managing holding and pooling data is disclosed. The data anonymization pipeline system transforms personal data at a source and then stores the transformed data in a safe environment. Furthermore, a re-identification risk assessment is performed before providing access to a user to fetch the de-identified data for secondary purposes.

Abstract: Systems and methods for managing post-harvest crop quality and pests. A post-harvest monitoring system receives sensor device measurements from sensors deployed within a commodity storage facility. The system analyzes the sensor measurements and, optionally, other data, and provides a user with a representation of the storage facility that includes air flow, temperature, and/or moisture content readouts, along with stored commodity quality and/or stored commodity business metrics predictions concerning infestation level, visible mold, dry matter loss, germination capacity, gas concentration, and estimates of commodity value and profit margin under a variety of post-harvest monitoring system-recommended or user-specified scenarios. Use of the system thus enhances stored commodity quality, marketability and food safety by providing solutions that combat spoilage manifestations and guide end users to efficient pest management.

Abstract: A method for quantification of the concentration of one or more cannabinoid compounds in a liquid sample is provided. The method involves contacting the liquid sample with at least one cannabinoid-sensitive visualization reagent, allowing the at least one cannabinoid-sensitive visualization reagent to develop for a defined amount of time; and comparing the resulting color change of the at least one cannabinoid-sensitive visualization reagent to a calibrated quantification reference chart.

Abstract: A system and method including receiving sets of sensor data associated with sensors configured to monitor one or more systems. Sensor fingerprints are generated for each set of sensor data based on the sensor data. At least one proximity value is computed for each sensor by comparing the fingerprint of that sensor with another fingerprint. Clusters of similar sensors are identified based at least upon the proximity values of the sensors.

Abstract: The present disclosure provides compounds that are inhibitors of PIKfyve and/or PI3 kinases, and are therefore useful for the treatment of neurological diseases that are treatable by inhibition of PIKfyve. Also provided are pharmaceutical compositions containing such compounds, and methods of treatment using such compounds.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: A spurious outlier detection-system is provided. The system includes a memory having computer-readable instructions stored therein and a processor configured to execute the computer-readable instructions to receive time-series data from one or more sensors and/or applications, process the time-series data to detect one or more change points based on a pre-defined cost function. The processor is configured to identify data chunks between the change points using pre-determined window sizes and to estimate smooth reconstructed values (SRVs) for each of the change point data chunks between two consecutive change points to identify one or more global outliers from the SRVs. The processor is configured to determine distribution of the global outliers using kernel density for each change point data chunk and identify one or more true outliers from the distribution of the global outliers based upon a skewness of the distribution.