Abstract: An article of footwear includes an upper and an adjustable lacing system. The adjustable lacing system includes a plurality of fastener engaging elements located at the medial and lateral sides of the upper, where at least one of the medial side and the lateral side includes sets of fastener engaging elements. Each set of fastener engaging elements is distanced from another set in a direction transverse a lengthwise direction of the upper, and the fastener engaging elements are configured to engage with and retain a fastener structure that extends between the medial and lateral sides of the upper such that the fastener structure can be selectively engaged with different sets of fastener engaging elements to adjust a fit of the upper around a width of the foot disposed within the cavity.

Abstract: The present disclosure relates to apparatus, systems, and methods for providing a location information analytics mechanism. The location information analytics mechanism is configured to analyze location information to extract contextual information (e.g., profile) about a mobile device or a user of a mobile device, collectively referred to as a target entity. The location information analytics mechanism can include analyzing location data points associated with a target entity to determine features associated with the target entity, and using the features to predict attributes associated with the target entity. The set of predicted attributes can form a profile of the target entity.

Abstract: As a client device accesses and interacts with a web server of an online retailer, an engagement evaluation server gathers data from both the client device and the web server. Over time, as the client device is used to access the web server and other web servers within the evaluation server network, a profile is built and maintained that describes some aspects of the client device interaction with the web server, including recency of visits, frequency of visits, frequency of views of products, frequency of shopping cart creation and modification, and other factors indicative of the user being engaged with the online retailer. The evaluation server performs statistical analysis and data modeling on profiles in order to generate an engagement score, and then provides the contact information for profiles meeting certain criteria.

Abstract: The present disclosure relates to apparatus, systems, and methods for providing a location information analytics mechanism. The location information analytics mechanism is configured to analyze location information to extract contextual information (e.g., profile) about a mobile device or a user of a mobile device, collectively referred to as a target entity. The location information analytics mechanism can include analyzing location data points associated with a target entity to determine features associated with the target entity, and using the features to predict attributes associated with the target entity. The set of predicted attributes can form a profile of the target entity.

Abstract: An article of footwear includes an upper and an adjustable lacing system. The adjustable lacing system includes a plurality of fastener engaging elements located at the medial and lateral sides of the upper, where at least one of the medial side and the lateral side includes sets of fastener engaging elements. Each set of fastener engaging elements is distanced from another set in a direction transverse a lengthwise direction of the upper, and the fastener engaging elements are configured to engage with and retain a fastener structure that extends between the medial and lateral sides of the upper such that the fastener structure can be selectively engaged with different sets of fastener engaging elements to adjust a fit of the upper around a width of the foot disposed within the cavity.

Abstract: The present disclosure relates to apparatus, systems, and methods for providing a location information analytics mechanism. The location information analytics mechanism is configured to analyze location information to extract contextual information (e.g., profile) about a mobile device or a user of a mobile device, collectively referred to as a target entity. The location information analytics mechanism can include analyzing location data points associated with a target entity to determine features associated with the target entity, and using the features to predict attributes associated with the target entity. The set of predicted attributes can form a profile of the target entity.

Abstract: The present disclosure relates to apparatus, systems, and methods for providing a location information analytics mechanism. The location information analytics mechanism is configured to analyze location information to extract contextual information (e.g., profile) about a mobile device or a user of a mobile device, collectively referred to as a target entity. The location information analytics mechanism can include analyzing location data points associated with a target entity to determine features associated with the target entity, and using the features to predict attributes associated with the target entity. The set of predicted attributes can form a profile of the target entity.

Abstract: In one embodiment, an article of footwear includes a first braided layer and a second braided layer. The first braided layer passes along an upper surface of a midsole while the second braided layer passes along a lower surface of the midsole. In another embodiment, an article of footwear includes a first braided layer and a second braided layer. The first braided layer passes along an upper surface of a plate while the second braided layer passes along a lower surface of the plate. In another embodiment, an article of footwear includes a unitary braided component that includes a first layer and a second layer.

Abstract: The present disclosure relates to apparatus, systems, and methods for providing a location information analytics mechanism. The location information analytics mechanism is configured to analyze location information to extract contextual information (e.g., profile) about a mobile device or a user of a mobile device, collectively referred to as a target entity. The location information analytics mechanism can include analyzing location data points associated with a target entity to determine features associated with the target entity, and using the features to predict attributes associated with the target entity. The set of predicted attributes can form a profile of the target entity.

Abstract: As a client device accesses and interacts with a web server of an online retailer, an engagement evaluation server gathers data from both the client device and the web server. Over time, as the client device is used to access the web server and other web servers within the evaluation server network, a profile is built and maintained that describes some aspects of the client device interaction with the web server, including recency of visits, frequency of visits, frequency of views of products, frequency of shopping cart creation and modification, and other factors indicative of the user being engaged with the online retailer. The evaluation server performs statistical analysis and data modeling on profiles in order to generate an engagement score, and then provides the contact information for profiles meeting certain criteria.

Abstract: The present disclosure relates to apparatus, systems, and methods for providing a location information analytics mechanism. The location information analytics mechanism is configured to analyze location information to extract contextual information (e.g., profile) about a mobile device or a user of a mobile device, collectively referred to as a target entity. The location information analytics mechanism can include analyzing location data points associated with a target entity to determine features associated with the target entity, and using the features to predict attributes associated with the target entity. The set of predicted attributes can form a profile of the target entity.

Abstract: The present disclosure relates to apparatus, systems, and methods for providing a location information analytics mechanism. The location information analytics mechanism is configured to analyze location information to extract contextual information (e.g., profile) about a mobile device or a user of a mobile device, collectively referred to as a target entity. The location information analytics mechanism can include analyzing location data points associated with a target entity to determine features associated with the target entity, and using the features to predict attributes associated with the target entity. The set of predicted attributes can form a profile of the target entity.

Abstract: In one embodiment, an article of footwear includes a first braided layer and a second braided layer. The first braided layer passes along an upper surface of a midsole while the second braided layer passes along a lower surface of the midsole. In another embodiment, an article of footwear includes a first braided layer and a second braided layer. The first braided layer passes along an upper surface of a plate while the second braided layer passes along a lower surface of the plate. In another embodiment, an article of footwear includes a unitary braided component that includes a first layer and a second layer.

Abstract: The present disclosure relates to apparatus, systems, and methods for providing a location information analytics mechanism. The location information analytics mechanism is configured to analyze location information to extract contextual information (e.g., profile) about a mobile device or a user of a mobile device, collectively referred to as a target entity. The location information analytics mechanism can include analyzing location data points associated with a target entity to determine features associated with the target entity, and using the features to predict attributes associated with the target entity. The set of predicted attributes can form a profile of the target entity.

Abstract: The present disclosure relates to apparatus, systems, and methods for providing a location information analytics mechanism. The location information analytics mechanism is configured to analyze location information to extract contextual information (e.g., profile) about a mobile device or a user of a mobile device, collectively referred to as a target entity. The location information analytics mechanism can include analyzing location data points associated with a target entity to determine features associated with the target entity, and using the features to predict attributes associated with the target entity. The set of predicted attributes can form a profile of the target entity.

Abstract: Systems and methods are described for controlling a remote system. The controlling involves detecting a gesture of a body from gesture data received via a detector. The gesture comprises an instantaneous state of the body. The gesture data is absolute three-space location data of an instantaneous state of the body at a point in time and physical space. The detecting aggregates only the gesture data of the gesture at an instant in time and identifies the gesture using the gesture data. The controlling then translates the gesture to a gesture signal, and controls a component of the remote system in response to the gesture signal.