Abstract: A method for synthesis and purification of radiolabeled macroaggregated human serum albumin (MAA) to form a bulk solution injectable to a patient includes: providing a radiometal in a generator, the radiometal being a generator eluate; synthesizing the radiolabeled MAA in a reactor with MAA particles from a commercially available labeling kit for 99mTc and the generator eluate so as to provide synthesized radiolabeled MAA particles; passing the synthesized radiolabeled MAA particles on a syringe filter membrane having a membrane composition, diameter, and pore size for trapping the radiolabeled MAA particles as trapped radiolabeled MAA particles and not retaining impurities from a bulk solution, the impurities including free radioactive metal isotopes, parent radioactive metal breakthrough, and stannous chloride present in the MAA labeling kit for 99mTc; and untrapping the trapped radiolabeled MAA particles from the syringe filter using a saline or buffered solution passing through the syringe filter.

Abstract: The invention relates to a method for the on-line management of energy consumption for multiprocessor systems, the method executing at least one application according to a chart of tasks, wherein the method includes, for each application: a first phase for the off-line characterization of the variation of the potential rate of parallelism of execution of the tasks as a function of time, this characterization being based on the worst-case task execution times; and a second phase for the on-line detection and exploitation of the inactivity intervals and of the potential time excesses. A DPM technique makes it possible to determine the duration of the inactivity interval during which a processor may remain inactive according to the potential rate of parallelism characterized in the worst case.

Abstract: The invention relates to a method for the on-line management of energy consumption for multiprocessor systems, the method executing at least one application according to a chart of tasks, wherein the method includes, for each application: a first phase for the off-line characterization of the variation of the potential rate of parallelism of execution of the tasks as a function of time, this characterization being based on the worst-case task execution times; and a second phase for the on-line detection and exploitation of the inactivity intervals and of the potential time excesses. A DPM technique makes it possible to determine the duration of the inactivity interval during which a processor may remain inactive according to the potential rate of parallelism characterized in the worst case.