Abstract: A method and system for remotely monitoring intoxication of a user, comprising: prompting the user to provide a breath sample at a time point; at a breath sample acquisition device, generating a breath sample signal upon reception of the breath sample from the user, and broadcasting a unique signature proximal in time to the time point; using a sensor of a mobile computing device, generating an authentication signal derived from detection of the unique signature; at a processing system in communication with the mobile computing device and the sample acquisition device, receiving the breath sample signal and the authentication signal; generating a verification assessment that validates provision of the breath sample by the user; determining a value of an intoxication metric for the user based upon the breath sample signal; and transforming the verification assessment and the value of the intoxication metric into an analysis of intoxication of the user.

Abstract: A method and system for remotely monitoring intoxication of a user, including: detecting a vehicle-user interaction; prompting the user to provide a breath sample, in response to detecting the vehicle-user interaction; transmitting a breath sample signal, derived from reception of the breath sample from the user, to a mobile computing device; determining a value of an intoxication metric for the user based upon the breath sample signal; and based upon the value of the intoxication metric, performing an action to deter operation of the vehicle by the user.

Abstract: A method and system for remotely monitoring intoxication of a user, comprising: prompting the user to provide a breath sample at a time point; at a breath sample acquisition device, generating a breath sample signal upon reception of the breath sample from the user, and broadcasting a unique signature proximal in time to the time point; using a sensor of a mobile computing device, generating an authentication signal derived from detection of the unique signature; at a processing system in communication with the mobile computing device and the sample acquisition device, receiving the breath sample signal and the authentication signal; generating a verification assessment that validates provision of the breath sample by the user; determining a value of an intoxication metric for the user based upon the breath sample signal; and transforming the verification assessment and the value of the intoxication metric into an analysis of intoxication of the user.

Abstract: A method and system for remotely monitoring intoxication of a user, comprising: prompting the user to provide a breath sample at a time point; at a breath sample acquisition device, generating a breath sample signal upon reception of the breath sample from the user, and broadcasting a unique signature proximal in time to the time point; using a sensor of a mobile computing device, generating an authentication signal derived from detection of the unique signature; at a processing system in communication with the mobile computing device and the sample acquisition device, receiving the breath sample signal and the authentication signal; generating a verification assessment that validates provision of the breath sample by the user; determining a value of an intoxication metric for the user based upon the breath sample signal; and transforming the verification assessment and the value of the intoxication metric into an analysis of intoxication of the user.

Abstract: A roof edging system that includes a base anchor, a fascia cover, and a compression system that is used to provide compression thereby, allowing the fascia cover to snap into place on the base anchor.

Abstract: A computer-implemented method including scanning, by one or more processors, data that is maintained on one or more social networks, identifying, one or more social entities associated with the scanned data, determining a risk score for each of the one or more social entities, analyzing the scanned data using one or more machine learning techniques, assigning a rating to each of the one or more social entities based on the determined risk score and the analyzed data, and determining, based on the rating assigned to at least one of the one or more social entities that the at least one social entity is a security risk.

Abstract: A computer-implemented method including scanning, by one or more processors, data that is maintained on one or more social network profiles of a protected social entity, identifying, one or more social entities associated with the scanned data, determining a risk score for each of the one or more social entities, analyzing the scanned data using one or more machine learning techniques, assigning a rating to each of the one or more social entities based on the determined risk score and the analyzed data, and determining, based on the rating assigned to at least one of the one or more social entities that the at least one social entity is a security risk to the protected social entity.

Abstract: A roof edging system that includes a base anchor, a fascia cover, and a compression system that is used to provide compression thereby, allowing the fascia cover to snap into place on the base anchor.

Abstract: In various embodiments, image sensors and methods of operating the image sensors are disclosed. In an example embodiment, a pixel circuit having a first electrode is coupled to a reset transistor and to a first region of an optically sensitive layer, and a second electrode is coupled to a pixel sense node and to a second region of an optically sensitive layer. The electrical path from the first electrode, through the optically sensitive layer, and into the second electrode functions as a variable resistor. Other devices and methods of operating the devices are disclosed.

Abstract: In one aspect, the present disclosure provides an electronic device having a light source, a two-dimensional photosensor, the photosensor and the light source being stacked on top of each other, and a non-transitory computer readable memory. In one example, the mobile electronic device is configured to: capture two or more frames using the photosensor while light is emitted from the light source, identify common features in neighboring frames of said two or more frames, combine said two or more frames into an image based on the common features, such that the common features are spatially collocated in the image, and record the image to the memory.

Abstract: A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.

Abstract: In various embodiments, image sensors and methods of operating the image sensors are disclosed. In an example embodiment, a pixel circuit having a first electrode is coupled to a reset transistor and to a first region of an optically sensitive layer, and a second electrode is coupled to a pixel sense node and to a second region of an optically sensitive layer. The electrical path from the first electrode, through the optically sensitive layer, and into the second electrode functions as a variable resistor. Other devices and methods of operating the devices are disclosed.

Abstract: A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.

Abstract: In various embodiments, an electronic device comprises, for example, at least one photosensitive layer and at least one carrier selective layer. Under one range of biases on the device, the photosensitive layer produces a photocurrent while illuminated. Under another range of biases on the device, the photosensitive does not produce a photocurrent while illuminated. A carrier selective layer expands the range of biases over which the photosensitive layer does not produce any photocurrent while illuminated. In various embodiments, an electronic device comprises, for example, at least one photosensitive layer and at least one carrier selective layer. Under a first range of biases on the device, the photosensitive layer is configured to collect a photocurrent while illuminated. Under a second range of biases on the device, the photosensitive layer is configured to collect at least M times lower photocurrent while illuminated compared to under the first range of biases.

Abstract: A roof edging system that includes a base anchor, a fascia cover, and a compression system that is used to provide compression thereby, allowing the fascia cover to snap into place on the base anchor.

Abstract: In one aspect, the present disclosure provides a system and a method for constructing a document image from snapshots of portions of a subject document taken by a two-dimensional image sensor panel. In another aspect, the present disclosure provides a mobile electronic device comprising: an image sensor panel; a non-transitory computer readable memory; and a processor configured to: capture a sequence of frames from the image sensor panel, identify corresponding features in said sequence of frames, combine said sequence of frames into a resultant image such that the corresponding features are spatially collocated in the resultant image, and record the resultant image to the memory.

Abstract: A sensorized surgical instrument for training users laparoscopic surgical procedures is provided. The instrument includes at least one sensor selected from a group consisting of a strain gauge, accelerometer, magnetometer, and gyroscope. The sensor is attached directly to a handle of the instrument. A shaft assembly having a tool tip is interchangeably connectable to the handle. The sensor is connected to a computer configured to provide feedback useful to the user for improving the user's surgical skills. The feedback includes the time to complete a procedure, economy of motion, smoothness of motion and the force exerted at the tool tip.

Abstract: A roof edging system that includes a base anchor, a fascia cover, and a compression system that is used to provide compression thereby, allowing the fascia cover to snap into place on the base anchor.

Abstract: A roof edging system that includes a base anchor, a fascia cover, and a compression system that is used to provide compression thereby, allowing the fascia cover to snap into place on the base anchor.

Abstract: A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.