Abstract: The present invention is in the field of amyotrophic lateral sclerosis (ALS) and relates to human interleukin-2 (IL-2) for use in the treatment of amyotrophic lateral sclerosis in a human subject, wherein each dose of human IL-2 administered to said subject is between 0.1×106 to 3×106 international units (IU) Human IL-2 is preferably administered in cycles of 3 to 7 days of once-daily sub-cutaneous injection of 0.1×106 to 3×106 HI human IL-2. The treatment does not comprise the administration of regulatory T cells to the subject, who is preferably also under riluzole treatment. The administered human IL-2 is preferably not complexed with anti-hIL-2 antibodies and the treatment also preferably does not comprise the administration of rapamycin or any other suppressive agent of effector T cells (Teffs) to the subject.

Abstract: Techniques disclosed herein include systems and methods that enable a relatively large number of users to connect to a collaborative communication application with a comparatively lower investment in service hardware (CPU, network) while still providing identification of contributing client devices. Techniques disclosed herein can also include systems and methods that enable an application developer to build higher-performing applications that reduce a computational load for client devices. A session manager, for a collaborative service session, provides selective transmission of user records on an as-needed basis, and thus avoids sending user records until those records are actually needed or requested, typically as a result of a user's active participation within the collaboration environment. The session manager thus reveals the presence of connected users on-demand, thereby saving CPU and network resources, and allowing collaborative applications to more easily scale into the tens of thousands of users.

Abstract: Techniques disclosed herein include systems and methods for indexing data events from a stream of data for seeking through recorded data streams. Techniques disclosed herein can enable a faster and more efficient process by which a processor can seek from one point of time in a data stream to another point of time in that data stream to bring a played-back application to a desired point in time. A playback manager analyzes data events within a series of data events, which are recorded in a linear data structure. The playback manager creates a hierarchical data structure for storing the data events to provide logically grouped storage of data events in addition to the linear data structure. The playback manager stores the data events in the hierarchical data structure based on type of data event and based on timestamps associated with each respective data event.

Abstract: Techniques disclosed herein include systems and methods that enable a relatively large number of users to connect to a collaborative communication application with a comparatively lower investment in service hardware (CPU, network) while still providing identification of contributing client devices. Techniques disclosed herein can also include systems and methods that enable an application developer to build higher-performing applications that reduce a computational load for client devices. A session manager, for a collaborative service session, provides selective transmission of user records on an as-needed basis, and thus avoids sending user records until those records are actually needed or requested, typically as a result of a user's active participation within the collaboration environment. The session manager thus reveals the presence of connected users on-demand, thereby saving CPU and network resources, and allowing collaborative applications to more easily scale into the tens of thousands of users.

Abstract: Approaches for progressively unlocking e-book content are provided wherein access is granted to a first set of e-books, wherein the first set is a subset of a second set of e-books to which access is restricted. Data is received indicating that one of the e-books in the first set has been read, and then it is determined whether access to an e-book in the second set should be granted. If so, access to an e-book in the second set is granted, wherein the e-book in the second set is chosen based upon an analysis of previously-read e-books in the first set.

Abstract: Techniques disclosed herein include systems and methods for indexing data events from a stream of data for seeking through recorded data streams. Techniques disclosed herein can enable a faster and more efficient process by which a processor can seek from one point of time in a data stream to another point of time in that data stream to bring a played-back application to a desired point in time. A playback manager analyzes data events within a series of data events, which are recorded in a linear data structure. The playback manager creates a hierarchical data structure for storing the data events to provide logically grouped storage of data events in addition to the linear data structure. The playback manager stores the data events in the hierarchical data structure based on type of data event and based on timestamps associated with each respective data event.

Abstract: The present invention relates to vibration analysis and in particular, but not limited to, the derivation of multiple types of vibration signals from one vibration signal for vibration analysis. In the preferred method of the invention the vibrations of an object are measured using at least one vibration sensor, wherein the vibration sensor converts vibrations into an electrical vibration signal. The electrical vibration signal is digitized based on a first frequency, wherein the first frequency is selected from a plurality of possible frequency values. A first type of vibration signal is derived from the digitized vibration signal. A second type of vibration signal is then derived from the digitized vibration signal based on a second frequency. The second frequency is rationally determined from, and lower than, the value selected for the first frequency. The invention also provides apparatus for deriving multiple types of vibration signals from one measured vibration signal for vibration analysis.

Abstract: The present invention relates to vibration analysis and in particular, but not limited to, the derivation of multiple types of vibration signals from one vibration signal for vibration analysis. In the preferred method of the invention the vibrations of an object are measured using at least one vibration sensor, wherein the vibration sensor converts vibrations into an electrical vibration signal. The electrical vibration signal is digitized based on a first frequency, wherein the first frequency is selected from a plurality of possible frequency values. A first type of vibration signal is derived from the digitized vibration signal. A second type of vibration signal is then derived from the digitized vibration signal based on a second frequency. The second frequency is rationally determined from, and lower than, the value selected for the first frequency. The invention also provides apparatus for deriving multiple types of vibration signals from one measured vibration signal for vibration analysis.

Abstract: The present invention relates to vibration analysis and in particular, but not limited to, the derivation of multiple types of vibration signals from one vibration signal for vibration analysis. In the preferred method of the invention the vibrations of an object are measured using at least one vibration sensor, wherein the vibration sensor converts vibrations into an electrical vibration signal. The electrical vibration signal is digitized based on a first frequency, wherein the first frequency is selected from a plurality of possible frequency values. A first type of vibration signal is derived from the digitized vibration signal. A second type of vibration signal is then derived from the digitized vibration signal based on a second frequency. The second frequency is rationally determined from, and lower than, the value selected for the first frequency. The invention also provides apparatus for deriving multiple types of vibration signals from one measured vibration signal for vibration analysis.

Abstract: A display application can be configured to provide a visual indication associating a dialog box (that was not invoked for display by a user) to a user selectable source on a display screen. In such circumstances, because the dialog box was not actually invoked based on actions of by the user, the user may be unaware of how to invoke redisplay of the dialog box. The visual indication (e.g., a highlighting of a path between the dialog box and a user selectable source such as an icon) produced by the display application teaches a user of a location of the selectable source so that the user can select the selectable source at a future point in time and redisplay the window.

Abstract: The present invention relates to a vibration signal processing method and system that can be used to account for situations where impact or impulse events are hidden in a normal vibration reading by low frequency vibrations and high frequency noise. In one preferred form, the method of the present invention comprises the steps of obtaining electrical vibration signals that represent mechanical vibrations of a machine (102-106), converting the electrical vibration signals into digital vibration samples (108), dividing the digital vibration samples into equal time intervals and determining the average absolute amplitude of the digital vibration samples for each time interval (110), generating a time waveform comprising the determined average amplitudes (112, 114), and processing the time waveform as if it were an independently-detected signal (116-120).

Abstract: The invention provides in one aspect a method for vibration sensing. The method comprises powering down at least one electronic component required for recording vibration data; powering down a processor used to carry out one or more steps of the method; measuring the vibration level of a machine in a frequency band of interest; comparing the measured vibration level with a user-selected reference vibration level; and powering up the processor if the measured vibration level is greater than or equal to the reference vibration level. In another aspect the invention provides a system for vibration sensing.

Abstract: The present invention relates to a vibration signal processing method and system that can be used to account for situations where impact or impulse events are hidden in a normal vibration reading by low frequency vibrations and high frequency noise. In one preferred form, the method of the present invention comprises the steps of obtaining electrical vibration signals that represent mechanical vibrations of a machine (102-106), converting the electrical vibration signals into digital vibration samples (108), dividing the digital vibration samples into equal time intervals and determining the average absolute amplitude of the digital vibration samples for each time interval (110), generating a time waveform comprising the determined average amplitudes (112, 114), and processing the time waveform as if it were an independently-detected signal (116-120).

Abstract: The present invention relates to a vibration data collection method and apparatus. The invention includes processes of receiving electrical vibration signals from at least one vibration sensor, digitizing the electrical vibration signals to obtain digitized vibration signals, calculating the average of the digitized vibration signals over a predetermined period, and storing the average in a storage device. The processes above are repeated to provide a history of averages. When vibration data recording is requested, the invention proceeds to check the history of averages to determine if the averages within a time period are substantially equal to one another within a tolerance. If the averages are within the tolerance, the digitized vibration signals are recorded.

Abstract: The present invention relates to vibration analysis and in particular, but not limited to, the derivation of multiple types of vibration signals from one vibration signal for vibration analysis. In the preferred method of the invention the vibrations of an object are measured using at least one vibration sensor, wherein the vibration sensor converts vibrations into an electrical vibration signal. The electrical vibration signal is digitised based on a first frequency, wherein the first frequency is selected from a plurality of possible frequency values. A first type of vibration signal is derived from the digitised vibration signal. A second type of vibration signal is then derived from the digitised vibration signal based on a second frequency. The second frequency is rationally determined from, and lower than, the value selected for the first frequency. The invention also provides apparatus for deriving multiple types of vibration signals from one measured vibration signal for vibration analysis.