Abstract: The present invention provides methods for treating, preventing and/or ameliorating at least one cardiovascular disorder in a human in need thereof comprising administering to said human a pharmaceutical composition comprising at least one polypeptide having at least one GLP-1 activity and/or at least one GLP-1 agonist.

Abstract: A viscometer assembly includes a first plate with a rail configured to constrain fluid thereon between its edges by surface tension. A second opposing plate has a surface spaced from the rail by a predefined gap of constraining fluid to the rail by surface tension when the rail is inclined and gravity pulls the fluid along the rail. The kinematic viscosity of the fluid is determined as a function of the predetermined gap and the time it takes the fluid to flow along the rail.

Abstract: An integrated, portable sample analysis system and method. A viscometer subsystem receives a first portion of a sample. A spectrometer subsystem receives a second portion of the sample. A syringe pump subsystem receives a third portion of the sample and is configured to urge the third portion of the sample through a filter which collects particles in the sample thereon. An x-ray analysis subsystem is configured to x-ray the particles. The x-ray analysis subsystem also receives a fourth portion of the sample in order to determine the composition of any dissolved material in the sample. A processing subsystem provides a report concerning the sample and its viscosity, physical properties, particulate count and size distribution, and the composition of particulate and dissolved elements in the sample.

Abstract: An apparatus, program product, and method that run an algorithm on a hardware based processor, generate a hardware error as a result of running the algorithm, generate an algorithm output for the algorithm, compare the algorithm output to another output for the algorithm, and detect the hardware error from the comparison. The algorithm is designed to cause the hardware based processor to heat to a degree that increases the likelihood of hardware errors to manifest, and the hardware error is observable in the algorithm output. As such, electronic components may be sufficiently heated and/or sufficiently stressed to create better conditions for generating hardware errors, and the output of the algorithm may be compared at the end of the run to detect a hardware error that occurred anywhere during the run that may otherwise not be detected by traditional methodologies (e.g., due to cooling, insufficient heat and/or stress, etc.).

Abstract: The present invention provides methods for treating, preventing and/or ameliorating at least one cardiovascular disorder in a human in need thereof comprising administering to said human a pharmaceutical composition comprising at least one polypeptide having at least one GLP-1 activity and/or at least one GLP-1 agonist.

Abstract: A viscometer assembly includes a first plate with a rail configured to constrain fluid thereon between its edges by surface tension. A second opposing plate has a surface spaced from the rail by a predefined gap of constraining fluid to the rail by surface tension when the rail is inclined and gravity pulls the fluid along the rail. The kinematic viscosity of the fluid is determined as a function of the predetermined gap and the time it takes the fluid to flow along the rail.

Abstract: An apparatus, program product, and method that run an algorithm on a hardware based processor, generate a hardware error as a result of running the algorithm, generate an algorithm output for the algorithm, compare the algorithm output to another output for the algorithm, and detect the hardware error from the comparison. The algorithm is designed to cause the hardware based processor to heat to a degree that increases the likelihood of hardware errors to manifest, and the hardware error is observable in the algorithm output. As such, electronic components may be sufficiently heated and/or sufficiently stressed to create better conditions for generating hardware errors, and the output of the algorithm may be compared at the end of the run to detect a hardware error that occurred anywhere during the run that may otherwise not be detected by traditional methodologies (e.g., due to cooling, insufficient heat and/or stress, etc.).