Abstract: Systems, methods and apparatus for dispensing of paper products. A paper product dispenser comprising a housing comprising a product holding area configured to hold a roll; a rotating member configured to rotate, in a first direction, in response to rotation of the roll; a cutting surface in the housing; a cutting blade coupled to the rotating member and having a first position, and a second position in which the cutting blade is in contact with the cutting surface, wherein the rotating member is configured to (i) move the cutting blade from the first position to the second position during a first portion of a rotation cycle of the roll in the first direction and (ii) move the cutting blade from the second position to the first position during a second portion of the rotation cycle of the roll in the first direction.

Abstract: The UTILITY RESOURCE ASSET MANAGEMENT SYSTEM APPARATUSES, METHODS AND SYSTEMS (“URAMS”) transform weather, terrain, and utility asset parameter data via URAMS components into damage predictions with confidence metrics, alerts, and asset allocation and response plans.

Abstract: A system for shoulder repair includes a prosthetic stemless shoulder implant including a base member extending along a longitudinal axis from a first side to a second side. The second side adapted to engage bone of a patient. The base member defines a hole that extends along the longitudinal axis and through the second side of the base member for receiving a flexible member therethrough. The system includes a fixation construct including a first fixation device and a second fixation device, the first and second fixation devices connected by the flexible member. While the first fixation device is positioned outside of the second side of the base member and the second fixation device is positioned within the base member, the flexible member is adapted to tension the first fixation device with respect to the second fixation device.

Abstract: A system for shoulder repair includes a prosthetic stemless shoulder implant including a base member extending along a longitudinal axis from a first side to a second side. The second side adapted to engage bone of a patient. The base member defines a hole that extends along the longitudinal axis and through the second side of the base member for receiving a flexible member therethrough. The system includes a fixation construct including a first fixation device and a second fixation device, the first and second fixation devices connected by the flexible member. While the first fixation device is positioned outside of the second side of the base member and the second fixation device is positioned within the base member, the flexible member is adapted to tension the first fixation device with respect to the second fixation device.

Abstract: Conventional techniques for automatically evaluating and grading assignments are generally ill-suited to evaluation of coursework submitted in media-rich form. For courses whose subject includes programming, signal processing or other functionally expressed designs that operate on, or are used to produce media content, conventional techniques are also ill-suited. It has been discovered that media-rich, indeed even expressive, content can be accommodated as, or as derivatives of, coursework submissions using feature extraction and machine learning techniques. Accordingly, in on-line course offerings, even large numbers of students and student submissions may be accommodated in a scalable and uniform grading or scoring scheme. Instructors or curriculum designers may adaptively refine assignments or testing based on classifier feedback.

Abstract: Conventional techniques for automatically evaluating and grading assignments are generally ill-suited to evaluation of coursework submitted in media-rich form. For courses whose subject includes programming, signal processing or other functionally expressed designs that operate on, or are used to produce media content, conventional techniques are also ill-suited. It has been discovered that media-rich, indeed even expressive, content can be accommodated as, or as derivatives of, coursework submissions using feature extraction and machine learning techniques. Accordingly, in on-line course offerings, even large numbers of students and student submissions may be accommodated in a scalable and uniform grading or scoring scheme. Instructors or curriculum designers may adaptively refine assignments or testing based on classifier feedback.

Abstract: For courses that deal with media content, such as sound, music, photographic images, hand sketches, video, conventional techniques for automatically evaluating and grading assignments are generally ill-suited to direct evaluation of coursework submitted in media-rich form. Likewise, for courses whose subject includes programming, signal processing or other functionally-expressed designs that operate on, or are used to produce media content, conventional techniques are also ill-suited. Instead, it has been discovered that media-rich, indeed even expressive, content can be accommodated as, or as derivatives of, submissions using feature extraction and machine learning techniques. In this way, e.g., in on-line course offerings, even large numbers of students and student submissions may be accommodated in a scalable and uniform grading or scoring scheme.

Abstract: Conventional techniques for automatically evaluating and grading assignments are generally ill-suited to evaluation of coursework submitted in media-rich form. For courses whose subject includes programming, signal processing or other functionally expressed designs that operate on, or are used to produce media content, conventional techniques are also ill-suited. It has been discovered that media-rich, indeed even expressive, content can be accommodated as, or as derivatives of, coursework submissions using feature extraction and machine learning techniques. Accordingly, in on-line course offerings, even large numbers of students and student submissions may be accommodated in a scalable and uniform grading or scoring scheme. Instructors or curriculum designers may adaptively refine assignments or testing based on classifier feedback.

Abstract: Conventional techniques for automatically evaluating and grading assignments are generally ill-suited to evaluation of coursework submitted in media-rich form. For courses whose subject includes programming, signal processing or other functionally expressed designs that operate on, or are used to produce media content, conventional techniques are also ill-suited. It has been discovered that media-rich, indeed even expressive, content can be accommodated as, or as derivatives of, coursework submissions using feature extraction and machine learning techniques. Accordingly, in on-line course offerings, even large numbers of students and student submissions may be accommodated in a scalable and uniform grading or scoring scheme. Instructors or curriculum designers may adaptively refine assignments or testing based on classifier feedback.