Abstract: An exemplary method and system is disclosed that facilitate the integration of multiplexed single-cell impedance cytometry in a high throughput format, which can be deployed upstream from microfluidic sample preparation and/or downstream to microfluidic cell separation. In exemplary method and system may employ impedance-based quantification of cell electrophysiology on the same microfluidic chip (i.e., “on-chip”) to provide distinguishing phenotypic information on the sample, without the need for additional sample handling, preparation or dilution steps as would be needed for other flow cytometry techniques.

Abstract: A surgical instrument is disclosed herein. The surgical instrument can include an end effector that includes jaws configured to transition between an opened condition and a closed condition, a plurality of electrodes positioned within the jaws of the end effector, a control circuit, and a memory configured to store an algorithm configured to cause the control circuit to determine an impedance signal based on signals received from the plurality of electrodes, detect a media positioned between the jaws of the end effector based on the determined impedance signal, determine a position of the detected media based on the received signals, and generate an alert associated with the detected media and the determined position.

Abstract: Linker-drug compounds and antibody-drug conjugates that bind to human oncology targets are disclosed. The linker-drug compounds and antibody-drug conjugates comprise a splicing modulator drug moiety. The disclosure further relates to methods and compositions for use in the treatment of neoplastic disorders by administering the antibody-drug conjugates provided herein. In an embodiment, the splicing modulator comprises a pladienolide or a pladienolide derivative.

Abstract: A surface cleaning apparatus including a body defining an agitation chamber, an agitator partially disposed within the agitation chamber and configured to rotate about a pivot axis, and a debrider at least partially disposed within the agitation chamber. The agitator includes an elongated body having a first and a second end, a sidewall extending radially outward from the elongated body extending between the first and the second ends, and a plurality of bristles extending radially outward from the elongated body. The plurality of bristles are arranged in at least one row adjacent to the sidewall. The debrider includes a plurality of teeth configured to contact a portion of the sidewall as the agitator rotates about the pivot axis.

Abstract: The disclosed devices may include a driver circuit including a voltage boost circuit, a pulse modulation controller, and optionally a headroom processor. The voltage boost circuit may be configured to receive a device input voltage (such as a battery voltage) and generate a backlight drive voltage. The pulse modulation controller may be configured to provide a pulse modulation signal to the voltage boost circuit, and may include a digital circuit or an analog circuit. Example devices may include a backlight unit receiving the backlight voltage. The optional headroom processor may provide a headroom signal to the pulse modulation controller based on a headroom voltage determined from the backlight unit. Devices may further include a backlight unit including an arrangement of light-emissive elements, and may include display devices such as head-mounted devices. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: An audio device with a body configured to be worn on or abutting an outer ear of a user, wherein the body is configured to contact at least one of the outer ear and the portion of the head that abuts the outer ear, at two separate spaced contact locations, and wherein the body is compliant at a body portion that defines one of the contact locations. The device also has an acoustic module carried by the body and configured to locate a sound-emitting opening anteriorly of and proximate the user's ear canal opening when the body is worn on or abutting the ear of the user.

Abstract: Systems and methods have been developed to increase user compliance and adherence to respiratory therapy devices. For instance, in some examples the disclosed technology may monitor usage data output from a respiratory therapy device to determine, based on the trends of usage, when a user is likely to terminate or reduce usage within a specified time window. Flagging a user may also trigger further actions to automatically intervene before the user terminates engagement with the service.

Abstract: Method, system, and programs for measuring user engagement. In one example, a model generated based on user activities with respect to a plurality pieces of content is obtained. One or more actual occurrences of the user activities with respect to one piece of the plurality pieces of content are identified. One or more future occurrences of the user activities with respect to the piece of content are estimated based on the model. A user engagement score with respect to the piece of content is calculated based on the one or more actual occurrences of the user activities and the one or more future occurrences of the user activities.

Abstract: Systems and methods have been developed to increase user compliance and adherence to various devices and services including respiratory therapy devices, exercise equipment, and online or other software services. For instance, in some examples the disclosed technology may monitor usage data output from a respiratory therapy device, exercise equipment or computer software program to determine, based on the trends of usage, when a user is likely to terminate or reduce usage within a specified time window. Flagging a user may also trigger further actions to automatically intervene before the user terminates engagement with the service.

Abstract: The present teaching, which includes methods, systems and computer-readable media, relates to providing content from multiple disparate sources including a person's personal data sources and non-personal data sources. The disclosed techniques may include receiving a request for content from a person; obtaining first content from a first source private to the person based on the request; obtaining second content from at least one second source based on the request; blending the first content from the first source and the second content from the at least one second source to generate a blended content; and providing the blended content to the person in response to the request.

Abstract: Method, system, and programs for measuring user engagement. In one example, a model generated based on user activities with respect to a plurality pieces of content is obtained. One or more actual occurrences of the user activities with respect to one piece of the plurality pieces of content are identified. One or more future occurrences of the user activities with respect to the piece of content are estimated based on the model. A user engagement score with respect to the piece of content is calculated based on the one or more actual occurrences of the user activities and the one or more future occurrences of the user activities.

Abstract: The present teaching, which includes methods, systems and computer-readable media, relates to ranking content from multiple disparate sources including a person's personal data sources and non-personal data sources. The disclosed techniques may include obtaining a plurality sets of content associated with a request from a person, each of which being from a separate data source, and applying a model for each set of content to obtain a set of features for each piece of content in the set of content, wherein the model is specific to a data source from where the set of content comes from. Each set of features for each piece of content of the set of content may be normalized with respect to a common space to generate a normalized feature set. Further, a score for each piece of content from a set of content may be estimated based on the normalized feature set for the piece of content, and based on the score of the piece of content, each piece of content of the plurality sets of content may be ranked.

Abstract: Briefly, embodiments of methods and/or systems for performing content recommendation are disclosed. For one embodiment, as an example, estimating relevance may include computing an inner product of latent factors corresponding to a plurality of users and features of one or more content items.

Abstract: Method, system, and programs for measuring user engagement. In one example, a model generated based on user activities with respect to a plurality pieces of content is obtained. One or more actual occurrences of the user activities with respect to one piece of the plurality pieces of content are identified. One or more future occurrences of the user activities with respect to the piece of content are estimated based on the model. A user engagement score with respect to the piece of content is calculated based on the one or more actual occurrences of the user activities and the one or more future occurrences of the user activities.

Abstract: Method, system, and programs for measuring user engagement. In one example, a model generated based on user activities with respect to a plurality pieces of content is obtained. One or more actual occurrences of the user activities with respect to one piece of the plurality pieces of content are identified. One or more future occurrences of the user activities with respect to the piece of content are estimated based on the model. A user engagement score with respect to the piece of content is calculated based on the one or more actual occurrences of the user activities and the one or more future occurrences of the user activities.

Abstract: Method, system, and programs for measuring user engagement. In one example, a model generated based on user activities with respect to a plurality pieces of content is obtained. One or more actual occurrences of the user activities with respect to one piece of the plurality pieces of content are identified. One or more future occurrences of the user activities with respect to the piece of content are estimated based on the model. A user engagement score with respect to the piece of content is calculated based on the one or more actual occurrences of the user activities and the one or more future occurrences of the user activities.

Abstract: The present teaching, which includes methods, systems and computer-readable media, relates to ranking content from multiple disparate sources including a person's personal data sources and non-personal data sources. The disclosed techniques may include obtaining a plurality sets of content associated with a request from a person, each of which being from a separate data source, and applying a model for each set of content to obtain a set of features for each piece of content in the set of content, wherein the model is specific to a data source from where the set of content comes from. Each set of features for each piece of content of the set of content may be normalized with respect to a common space to generate a normalized feature set. Further, a score for each piece of content from a set of content may be estimated based on the normalized feature set for the piece of content, and based on the score of the piece of content, each piece of content of the plurality sets of content may be ranked.

Abstract: The present teaching, which includes methods, systems and computer-readable media, relates to ranking content from multiple disparate sources including a person's personal data sources and non-personal data sources. The disclosed techniques may include obtaining a plurality sets of content associated with a request from a person, each of which being from a separate data source, and applying a model for each set of content to obtain a set of features for each piece of content in the set of content, wherein the model is specific to a data source from where the set of content comes from. Each set of features for each piece of content of the set of content may be normalized with respect to a common space to generate a normalized feature set. Further, a score for each piece of content from a set of content may be estimated based on the normalized feature set for the piece of content, and based on the score of the piece of content, each piece of content of the plurality sets of content may be ranked.

Abstract: Briefly, embodiments of methods and/or systems for performing content recommendation are disclosed. For one embodiment, as an example, estimating relevance may include computing an inner product of latent factors corresponding to a plurality of users and features of one or more content items.

Abstract: The present teaching, which includes methods, systems and computer-readable media, relates to providing content from multiple disparate sources including a person's personal data sources and non-personal data sources. The disclosed techniques may include receiving a request for content from a person; obtaining first content from a first source private to the person based on the request; obtaining second content from at least one second source based on the request; blending the first content from the first source and the second content from the at least one second source to generate a blended content; and providing the blended content to the person in response to the request.