Abstract: A sentiment analyzer obtains natural language media input and determines sentiment of the natural language media input. A personality analyzer obtains data indicative of a personality of an originator of the natural language media input and determines a personality metric of the originator of the natural language media input. The sentiment of the natural language media input and the personality metric of the originator of the natural language media input are combined to obtain a personality-based sentiment of the natural language media input. The natural language media input is provided to a receiver together with a representation of the personality-based sentiment of the natural language media input.

Abstract: A technique relates to an imaging apparatus. Extensions are coupled to a support structure, the extensions being spaced a predefined distance from one another, the extensions having a length that protrudes from the support structure. Light sources are coupled to the extensions such that the light sources are positioned to irradiate a scalp. Sensors are coupled to the extensions, the sensors being positioned at an angle to capture images of the scalp having been irradiated by the light sources.

Abstract: A computer-implemented screening method, system, and computer program product including processing a first sensor scan image at a first time and at a first location to detect a first disassembled component of an object, processing a second sensor scan image at a second time and at a second location to detect a second disassembled component of the object, storing a record of the first disassembled component and the second disassembled component, and flagging the record based on a risk factor of the first disassembled component being combined with the second disassembled component to complete the object.

Abstract: An apparatus for automatically separating and collecting a fluid stream into multiple portions, including a tubing to receive the fluid stream, a plurality of valves attached to the tubing in spaced relation along the length of the tubing and a plurality fluid collection containers attached to the valves. A controller controls the activation of the plurality of valves to collect and separate portions of the fluid stream in the plurality of the fluid collection containers. A flow meter detects the flow of the fluid stream in the tubing and measures a flow rate of the fluid stream. The controller activates the valves based on the detection of the fluid and the flow rate. The controller also activates the valves based on the timing of the fluid stream. The controller also monitors the flow rate over time and activates the valves in sequence based on the flow rate.

Abstract: A computer-implemented screening method, system, and computer program product including detecting at least two disassembled components of an object spread across multiple sensor scan images of at least one container, storing a record of each disassembled component correlated with contextual information of each owner of each container corresponding to a sensor scan image, and flagging the owner of the container in the sensor scan image based on a joint assessment of the sensor scan image including a disassembled component that can be combined with another disassembled component in a different sensor scan image to assemble the object and the contextual information of each owner.

Abstract: A computer-implemented method includes obtaining an image of a retinal fundus. A plurality of features is extracted from the image of the retinal fundus. The plurality of features includes at least one feature based on anatomical domain knowledge of the retinal fundus and at least one response of a pre-trained deep convolutional neural network to at least a portion of the image of the retinal fundus. The retinal fundus is determined to belong to a left eye or a right eye, based on an analysis of the plurality of features.

Abstract: An apparatus for the collection of multiple samples of a fluid stream. The apparatus includes a plurality fluid collection containers arranged to receive separate portions of the fluid stream in a temporal sequence and a sealing mechanism provided on each fluid collection container configured to close the fluid collection containers when filled by a portion of the fluid stream and to cause the fluid stream to flow to the next fluid collection container in the sequence. The fluid collection containers separately collect at least a beginning portion of the fluid stream, a mid-portion of the fluid stream and an end-portion of the fluid stream. Each of the fluid collection containers may be detachably connected to tubing held in a housing having a sloped upper surface for receiving the fluid stream and an inlet for directing the fluid stream to the tubing. The housing may be a fluid collection cup.

Abstract: A flocculation control system that floats particles that attach to nano and/or micro bubbles out of a liquid includes at least one sensing system, at least one processing system, and at least one fluid additive control system. The at least one sensing system is configured to reproduce one or more nano-bubbles with one or more particles suspended in a fluid. The at least one processing system is configured to measure, using outputs of the at least one sensing system, incident angles between the one or more nano-bubbles and the one or more particles suspended in the fluid. And the at least one fluid additive control system is configured to adjust, based on at least the incident angles, an amount of a surfactant being added to the fluid.

Abstract: An apparatus for the collection of multiple samples of a fluid stream. The apparatus includes a plurality fluid collection containers arranged to receive separate portions of the fluid stream in a temporal sequence and a sealing mechanism provided on each fluid collection container configured to close the fluid collection containers when filled by a portion of the fluid stream and to cause the fluid stream to flow to the next fluid collection container in the sequence. The fluid collection containers separately collect at least a beginning portion of the fluid stream, a mid-portion of the fluid stream and an end-portion of the fluid stream. Each of the fluid collection containers may be detachably connected to tubing held in a housing having a sloped upper surface for receiving the fluid stream and an inlet for directing the fluid stream to the tubing. The housing may be a fluid collection cup.

Abstract: An apparatus for automatically separating and collecting a fluid stream into multiple portions, including a tubing to receive the fluid stream, a plurality of valves attached to the tubing in spaced relation along the length of the tubing and a plurality fluid collection containers attached to the valves. A controller controls the activation of the plurality of valves to collect and separate portions of the fluid stream in the plurality of the fluid collection containers. A flow meter detects the flow of the fluid stream in the tubing and measures a flow rate of the fluid stream. The controller activates the valves based on the detection of the fluid and the flow rate. The controller also activates the valves based on the timing of the fluid stream. The controller also monitors the flow rate over time and activates the valves in sequence based on the flow rate.

Abstract: A technique relates to an imaging apparatus. Extensions are coupled to a support structure, the extensions being spaced a predefined distance from one another, the extensions having a length that protrudes from the support structure. Light sources are coupled to the extensions such that the light sources are positioned to irradiate a scalp. Sensors are coupled to the extensions, the sensors being positioned at an angle to capture images of the scalp having been irradiated by the light sources.

Abstract: A sentiment analyzer obtains natural language media input and determines sentiment of the natural language media input. A personality analyzer obtains data indicative of a personality of an originator of the natural language media input and determines a personality metric of the originator of the natural language media input. The sentiment of the natural language media input and the personality metric of the originator of the natural language media input are combined to obtain a personality-based sentiment of the natural language media input. The natural language media input is provided to a receiver together with a representation of the personality-based sentiment of the natural language media input.

Abstract: A method for image analysis comprises receiving one or more images of a plurality of lesions captured from a body of a person, extracting one or more features of the plurality of lesions from the one or more images, analyzing the extracted one or more features, wherein the analyzing comprises determining a distance between at least two lesions with respect to the extracted one or more features, and determining whether any of the plurality of lesions is an outlier based on the analyzing.

Abstract: A system, method and program product for system for processing audio visual (AV) content items during playback. A system is disclosed that includes: a controller for selecting a content item and filtering the content item during playback based on filtering parameters; an audience identification system that identifies members of an audience intended to view the content item and obtains user attributes of each member of the audience; and a filtering manager that calculates the filtering parameters based on the user attributes and metadata tags associated with the content item, wherein the metadata tags are obtained from a remote metadata repository that generates metadata tags from feedback obtained from participating system users.

Abstract: A computer-implemented method includes obtaining an image of a retinal fundus. A plurality of features is extracted from the image of the retinal fundus. The plurality of features includes at least one feature based on anatomical domain knowledge of the retinal fundus and at least one response of a pre-trained deep convolutional neural network to at least a portion of the image of the retinal fundus. The retinal fundus is determined to belong to a left eye or a right eye, based on an analysis of the plurality of features.

Abstract: A sentiment analyzer obtains natural language media input and determines sentiment of the natural language media input. A personality analyzer obtains data indicative of a personality of an originator of the natural language media input and determines a personality metric of the originator of the natural language media input. The sentiment of the natural language media input and the personality metric of the originator of the natural language media input are combined to obtain a personality-based sentiment of the natural language media input. The natural language media input is provided to a receiver together with a representation of the personality-based sentiment of the natural language media input.

Abstract: A computer-implemented method includes obtaining an image of a retinal fundus. A plurality of features is extracted from the image of the retinal fundus. The plurality of features includes at least one feature based on anatomical domain knowledge of the retinal fundus and at least one response of a pre-trained deep convolutional neural network to at least a portion of the image of the retinal fundus. The retinal fundus is determined to belong to a left eye or a right eye, based on an analysis of the plurality of features.

Abstract: A robust segmentation technique based on multi-layer classification technique to identify the lesion boundary is described. The inventors have discovered a technique based on training several classifiers such that to classify each pixel as lesion versus normal Each classifier is trained on a specific range of image resolutions. Then, for a new test image, the trained classifiers are applied on the image. Then by fusing the prediction results in pixel level a probability map is generated. In the next step, a thresholding method is applied to convert the probability map to a binary mask, which determines a mole border.

Abstract: A scan head for scanning skin includes a frame and a camera coupled to the frame. A controllable probe is coupled to the frame and is configured to change an orientation of hair on the skin to be examined and imaged with the camera.

Abstract: A method for computer-aided diagnosis of skin lesions includes obtaining a dermoscopic image, convolving the dermoscopic image in a plurality of convolutional layers, obtaining deconvolved outputs of at least two convolutional layers of the plurality of convolutional layers, obtaining side-output feature maps by applying loss functions to the deconvolved outputs of the at least two convolutional layers, obtaining a first concatenated feature map by concatenating the side-output feature maps with different first weights, obtaining a second concatenated feature map by concatenating the side-output feature maps with different second weights, and producing a final score map by convolving the first and second concatenated feature maps in a final convolutional layer followed by a loss layer. Also disclosed: a computer-readable medium embodying instructions for the method, and an apparatus configured to implement the method.