Abstract: In variants, a method for property group analysis can include: determining a property, determining whether the property is part of a group, identifying other properties within the group, optionally determining whether to merge groups, and optionally providing a final group. However, the method can additionally and/or alternatively include any other suitable elements.

Abstract: Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.

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: 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: 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 5 exposure time or the selection of a light source as needed for a specific application. The invention also provides a light device.

Abstract: Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.

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: In variants, a method for property group analysis can include: determining a property, determining whether the property is part of a group, identifying other properties within the group, optionally determining whether to merge groups, and optionally providing a final group. However, the method can additionally and/or alternatively include any other suitable elements.

Abstract: The present application discloses a dehumidifier and a dehumidification system. The dehumidifier comprises a housing and a water absorber located in the housing. An opening and a plug are provided at a lower portion of the housing. The plug is used to seal the opening, and the water absorber can be removed via the opening when the opening is open. A conduit is provided above the housing, an upper gas inlet and an upper gas outlet are provided on the conduit, a gas to be dehumidified enters the conduit via the upper gas inlet and is discharged from the conduit via the upper gas outlet, and the water absorber is used to absorb water in the gas. The dehumidifier according to the present application is easily maintainable.

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 catheter system having a deployable redirection device (RD) is described that improves the process of accessing a clot in a patient with acute ischemic stroke due to large vessel occlusion.

Abstract: A blood volume sensor system including a container defining a blood volume reservoir, a volume sensor configured to monitor the blood volume reservoir and output data corresponding to a volume of blood contained in the blood volume reservoir, and a digital computing device in communication with the volume sensor and configured to receive the output data regarding the volume of blood contained in the blood volume reservoir. The volume sensor being a gravimetric sensor, an optical sensor, a contact imaging sensor, a camera sensor, or a time of flight sensor. The system additionally including an oxygenator attached to the blood volume reservoir. The system being configured to be incorporated into a surgical pack of a heart lung machine to monitor the blood volume reservoir in real time to reflect a circulating blood volume of a patient.

Abstract: A programming system to create programs. Data are stored that describe actions of the users in creating the programs. The programming system has a library of templates for functions. A graphical user interface presents to users functions depicted as templates of blocks to be selected for incorporation into programs. Users direct the system to assemble functions from the set into the programs. The graphical user interface depicts the incorporated functions as graphical elements for manipulation in the graphical user interface. Users can graphically connect data output connection points of incorporated function graphical elements to input connection points of incorporated function graphical elements. A trained artificial intelligence large language model has been trained with a corpus of graphical programs to compute suggestions to the user for functions to be added into the program.

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: Using active learning to detect Protected Health Information (“PHI”) in documents stored as unannotated natural language data by selecting an initial chunk of text from the documents; forming a gold standard data via annotating the text by a human, the annotating identifies and tags PHI required to de-identify the text; training, using machine learning and the text before and after the annotating, a model having rules for PHI detection; querying, using a strategy, the documents to select a next chunk of text; machine annotating the text using the trained model; updating the gold standard data via correcting the machine annotation of the text by the human, wherein an amount of corrections in the updated gold standard data indicates a quality of the machine annotation; and iterating the steps starting at training, until the quality of the machine annotation is higher than a predetermined quality threshold.

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: Example embodiments include a mounting system and method for a sensor node or other electrical or electronic device. An apparatus according to some embodiments includes a housing having a perimeter and a rear surface, a set of power plug prongs extending from the rear surface of the housing, and a bracket releasably engageable with the rear surface of the housing, the bracket having at least one flange that extends beyond the perimeter of the housing when the bracket is engaged with the rear surface. In some embodiments, at least one of the flanges includes a frangible region allowing for removal of at least a portion of the respective flange.

Abstract: A system and process to create a lookalike model for a target audience to deliver advertisements are disclosed. According to one embodiment, the method comprises selecting survey data from a survey database that relates to an advertisement. A heterogenous treatment effect (HETE) model is trained on the survey data. Persuadable customers are identified from the survey database for the advertisement based on the HETE model. An optimized customer list is generated using personally identifiable information.

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 herein is a system for facilitating assessment of a physical asset, in accordance with some embodiments. Accordingly, the system may include a device disposable on a location of the physical asset. Further, the device may include a sensor configured for generating an information. Further, the at least one device may include a communication interface communicatively coupled with the sensor. Further, the device may include a power source electrically coupled with the sensor and the communication interface. Further, the system may include an assessment system communicatively coupled with the device. Further, the assessment system may include a communication device configured for receiving the information and transmitting an assessment to a user device. Further, the assessment system may include a processing device communicatively coupled with the communication device. Further, the assessment system may include a storage device communicatively coupled with the processing device.