Abstract: Systems and methods of real time notification of activities that occur in a web-based collaboration environment are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, for selecting a recipient of a notification an activity according to criteria determined based on a workspace in which the activity was performed in the online collaboration platform and/or sending the notification of the activity to the recipient such that the recipient is notified in real time or near real time to when the activity occurred.

Abstract: The expandable sheath and methods of use disclosed herein are used to deliver a prosthetic device through a patient's vasculature. The sheath is constructed to be expandable in the circumferential direction, while maintaining sufficient stiffness in the longitudinal direction to withstand pushing and resist kinking. The sheath includes a plurality of curved arms extending outwardly from a longitudinally extending spine. The curved arms move away from the longitudinal axis of the sheath when pushed radially outwardly by a passing prosthetic device, and move back toward the longitudinal axis once the prosthetic device has passed.

Abstract: A method and a system of calibration of a first lidar device and a second lidar device are described. A subset of pairs of positions of a vehicle as the vehicle moves along a path according to a predetermined path pattern are determined. Each pair from the subset of pairs includes a first position and a second position of the vehicle. A first field of view of the first lidar device when the vehicle is located at the first position overlaps with a second field of view of the second lidar device when the vehicle is located at the second position at a second time. Based on the subset of pairs, an extrinsic calibration transformation that transforms a position of the second lidar device into a calibrated position that allows to obtain a consistent view of the world between the first and the second lidar devices is determined.

Abstract: The present disclosure provides methods and compositions for testing blood samples to determine the presence and type of a blood stream infection (BSI). In one embodiment, the composition is a lysis reagent or composition that comprises betaine hydrochloride, spermidine, saponin, and Triton® X-100. The methods include combining the lysis reagent with the blood sample, and at least one centrifuge step to isolate the micro-organisms that cause the BSI. The micro-organisms are kept viable so that diagnostic tests can be run on the blood samples after the various method steps are performed.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for virtual try-on of items such as spectacles. A virtual try-on interface may be implemented at a server or at a user device, and may use collision detection between three-dimensional models of the spectacles and of a user's face and head to determine the correct size and position of the spectacles for virtual try-on. With the determined size and position, a virtual representation of the spectacles is superimposed on an image of the user.

Abstract: A categorization analysis system is provided. The categorization analysis system includes one or more hardware processors, a memory including a first plurality of listings categorized in a first target category, and a categorization analysis engine executing on the one or more hardware processors. The categorization analysis engine is configured to determine a label for each listing including performing a search on title, select a set of training listings based on the determined labels, train a first model using the set of training listings and the determined labels, the first model being a classification model configured to classify categorization of listings, identify a suspect listing categorized in the first target category, apply the suspect listing to the first model, thereby generating a categorization result for the suspect listing, the categorization result indicating miscategorization of the suspect listing, and identify the suspect listing in the memory as miscategorized.

Abstract: In various example embodiments, a system and method for retrieving database records are presented. A method includes receiving an access request for database records, identifying a primary database record corresponding to the access request, and selecting a set of secondary database records corresponding to a portion of the access request. The method determines a set of differentiating elements within records of the set of secondary database records. Each differentiating element distinguishes at least one record of the set of secondary database records from one or more of the primary database record and a portion of the records included in the set of secondary database records. The method generates a formatted search interface including a set of selectable interface icons representing one or more differentiating elements and causes presentation of the formatted search interface at a client device associated with the access request.

Abstract: The present disclosure provides methods and compositions for testing blood samples to determine the presence and type of a blood stream infection (BSI). In one embodiment, the composition is a lysis reagent or composition that comprises betaine hydrochloride, spermidine, saponin, and Triton® X-100. The methods include combining the lysis reagent with the blood sample, and at least one centrifuge step to isolate the micro-organisms that cause the BSI. The micro-organisms are kept viable so that diagnostic tests can be run on the blood samples after the various method steps are performed.

Abstract: A method for virtual try-on of user-wearable items is provided. The method includes capturing, in a client device, a first image of a user, the first image including a reference token for a user-wearable item and displaying, in the client device, images of multiple user-wearable items for the user, receiving an input from the user, the input indicative of a selected user-wearable item from the user-wearable items on display. The method also includes segmenting the first image to separate the reference token from a background comprising a portion of a physiognomy of the user, replacing a segment of the reference token in the first image with an image of the selected user-wearable item in a second image of the user, and displaying, in the client device, the second image of the user.

Abstract: In various example embodiments, a system and method compute an inferred query feature score for a query that can be used provide items in response to the query. A query is received, and query terms are identified from the query. A query feature score associated with each query term from the query is determined. An inferred query feature score for the query is determined based on the query feature scores for the query terms from the query. One or more items are returned as search results in response to the query based at least in part on the inferred query feature score for the query.

Abstract: A categorization analysis system is provided. The categorization analysis system includes one or more hardware processors, a memory including a first plurality of listings categorized in a first target category, and a categorization analysis engine executing on the one or more hardware processors. The categorization analysis engine is configured to determine a label for each listing including performing a search on title, select a set of training listings based on the determined labels, train a first model using the set of training listings and the determined labels, the first model being a classification model configured to classify categorization of listings, identify a suspect listing categorized in the first target category, apply the suspect listing to the first model, thereby generating a categorization result for the suspect listing, the categorization result indicating miscategorization of the suspect listing, and identify the suspect listing in the memory as miscategorized.

Abstract: Disclosed herein are a method and system for processing medical image data. The method can comprise querying, using one or more monitor processors of a Picture Archiving and Communication System (PACS) monitor, a storage unit on a PACS server for available image data; determining, using the one or more monitor processors, if the available image data is new image data; retrieving, using the one or more monitor processors, the new image data from the storage unit on the PACS server if the available image data is new image data; processing, using one or more model processors, the new image data using a machine learning model to obtain a model result; generating, using the one or more model processors, at least one of an enhanced image data and a model result report based on the model result; and storing the at least one of the enhanced image data and the model result report for retrieval by a computing device.

Abstract: In various example embodiments, a system and method for computing a query feature score that can be used by a machine learning algorithm to rank search results is described. A query is received. The assigned probabilities for the arbitrary query is retrieved. The assigned probabilities is based on a probability model for a query feature. A score is computed for the query feature based on the assigned probabilities for the arbitrary query.

Abstract: The present disclosure provides methods and compositions for determining the presence of microorganisms in biological fluids by processing extracellular vesicles. The fluids are treated with a composition comprising a pH buffer, a nonionic surfactant, a zwitterionic detergent, an anionic surfactant, and a reducing agent. This treatment solubilizes extracellular vesicles in the fluid, enhancing the ability of diagnostic tools to find the microorganisms. The extracellular vesicles may also be isolated before solubilizing.

Abstract: Disclosed are methods and systems for processing medical image data. The method comprising inputting, with one or more processors of one or more computation devices, medical image data into a model for nodule detection; calculating, for at least one nodule detected by the model for nodule detection, a nodule histogram of all voxel intensities of said nodule; determining, from each nodule histogram, a nodule classification among a plurality of nodule classifications for the at least one nodule.

Abstract: The systems and methods described herein include an external base station with a tethered transceiver, an implanted hub that includes power, telemetry, and processing electronics, and a plurality of implanted satellite that contain reconfigurable front-end electronics for interfacing with electrodes. The system can operate in different modes. In a first mode, called a base boost mode, the external base station is used for closed-loop control of stimulation therapies. In a second, autonomous mode, closed-loop control is performed in the hub without direct influence from the base station. In a third mode, streams of neural data are transmitted to an offline processor for offline analysis.

Abstract: The present invention relates to moving microorganisms to a surface, where they are grown in the presence and absence of antimicrobials, and by monitoring the growth of the microorganisms over time in the two conditions, their susceptibility to the antimicrobials can be determined. The microorganisms can be moved to the surface through electrophoresis, centrifugation or filtration. When the movement involves electrophoresis, the presence of oxidizing and reducing reagents lowers the voltage at which electrophoretic force can be generated and allows a broader range of means by which the target can be detected. Monitoring can comprise optical detection, and most conveniently includes the detection of individual microorganisms. The microorganisms can be stained in order to give information about their response to antimicrobials.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for virtual try-on of items such as spectacles. A virtual try-on interface may be implemented at a server or at a user device, and may use collision detection between three-dimensional models of the spectacles and of a user's face and head to determine the correct size and position of the spectacles for virtual try-on. With the determined size and position, a virtual representation of the spectacles is superimposed on an image of the user.

Abstract: Disclosed are methods and systems for processing medical image data. The method comprising inputting, with one or more processors of one or more computation devices, medical image data into an encoder stage of an encoder-decoder pair (EDP) as a first input among one or more inputs; calculating, with the one or more processors, a latent space representation of the one or more inputs using the encoder stage of the EDP; providing, from a latent space database stored within one or more storage devices accessible by the one or more computation devices, latent space representations of other inputs; and determining, with the one or more processors, a classification based on the latent space representation of the one or more inputs and at least one latent space representation of the other inputs.

Abstract: The present disclosure provides methods and compositions for testing blood samples to determine the presence and type of a blood stream infection (BSI). In one embodiment, the composition is a lysis reagent or composition that comprises betaine hydrochloride, spermidine, saponin, and Triton® X-100. The methods include combining the lysis reagent with the blood sample, and at least one centrifuge step to isolate the micro-organisms that cause the BSI. The micro-organisms are kept viable so that diagnostic tests can be run on the blood samples after the various method steps are performed.