Bioness Inc.

Intuit, Inc.

Manngroup,llc

Moshe Olim

Arkady Glukhovsky

Keith Sean McBride

Kenneth Andrew Regas

Kelvin J Hasseler

Daniel Scott Weinstein

Todd Cushman

Erol Erturk

Joel Behnke

Perry Payne

William H Schwiebert

Igor A Podgorny

Troy D Otillio

Marc J Attinasi

Keith Mcbride

William H Schweibert

A body weight support system includes a trolley, a powered conductor operatively coupled to a power supply, and a patient attachment mechanism. The trolley can include a drive system, a control system, and a patient support system. The drive system is movably coupled to a support rail. At least a portion of the control system is physically and electrically coupled to the powered conductor. The patient support mechanism is at least temporarily coupled to the patient attachment mechanism. The control system can control at least a portion of the patient support mechanism based at least in part on a force applied to the patient attachment mechanism.

Methods and apparatus for body weight support system

A body weight support system includes a trolley, a powered conductor operative coupled to a power supply, and a patient attachment mechanism. The trolley can include a drive system, a control system, and a patient support system. The drive system is movably coupled to a support rail. At least a portion of the control system is physically and electrically coupled to the powered conductor. The patient support mechanism is at least temporarily coupled to the patient attachment mechanism. The control system can control at least a portion of the patient support mechanism based at least in part on a force applied to the patient attachment mechanism.

Activities of a user are tracked while a user uses a software application. Based on the tracked user activities, a user-experience metric is determined for the user, where the user-experience metric reflects a need to modify a user experience associated with the software application. In response to the determined user-experience metric, the user experience is modified. For example, modifying the user experience may include: providing help content to the user, changing a user interface associated with the software application, and/or contacting the user.

Modifying software based on tracked activities

Identifying suspect electronic tax data of an electronic tax return prepared using a tax preparation program. A first field of the tax return is populated with first tax data. The program selects statistical data for another type of tax data based upon the first tax data. A second field is populated with second tax data, which is compared with selected statistical data to determine whether the second tax data satisfies pre-determined criteria relative to the selected statistical data, e.g., whether the second tax data is within a pre-determined range or standard deviation of a mean or average of statistical data. If the second tax data does not satisfy the criteria, e.g., is outside of the range or standard deviation, the program issues an alert to notify the preparer of the specific location of the suspect data. The alert may be issued in real time while the tax return is being prepared.

Methods systems and computer program products for identifying suspect data of an electronic tax return

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San Diego, CA, United States of America

Moshe Olim