Abstract: The time between heartbeats is measured over a series of such heartbeats. The time interval between two successive events is calculated and stored as a first array. The time difference between adjacent heartbeat intervals is also calculated from the first array and recorded as a differential array. The differential array is subjected to frequency analysis. First the differential array data is linearly interpolated to increase the number of data samples. The interpolated data is then subjected to a fast fourier transform (FFT) yielding a power spectrum. Characteristic frequency ranges are then integrated and the resulting frequency domain spectrum(s) are analyzed for dominant frequency characteristics.

Abstract: The time between heartbeats is measured over a series of such heartbeats. The time interval between two successive events is calculated and stored as a first array. The time difference between adjacent heartbeat intervals is also calculated from the first array and recorded as a differential array. The differential array is subjected to frequency analysis. First the differential array data is linearly interpolated to increase the number of data samples. The interpolated data is then subjected to a fast fourier transform (FFT) yielding a power spectrum. Characteristic frequency ranges are then integrated and the resulting frequency domain spectrum(s) are analyzed for dominant frequency characteristics.

Abstract: The time between heartbeats is measured over a series of such heartbeats. The time interval between two successive events is calculated and stored as a first array. The time difference between adjacent heartbeat intervals is also calculated from the first array and recorded as a differential array. The differential array is subjected to frequency analysis. First the differential array data is linearly interpolated to increase the number of data samples. The interpolated data is then subjected to a fast fourier transform (FFT) yielding a power spectrum. Characteristic frequency ranges are then integrated and the resulting frequency domain spectrum(s) are analyzed for dominant frequency characteristics.

Abstract: A polymeric food spoilage sensor comprises a polymer containing a polyazamacrocyclic transition metal complex. The complex selectively binds biogenic amines, such as cadaverine, putrescine and histamine, which are released by food spoilage microorganisms. The polymer undergoes a detectable color change upon exposure to biogenic amine, thus indicating that food spoilage has probably occurred. In one embodiment, the polymer is molecularly imprinted with the biogenic amine to impart selective binding affinity. The polymer is easily incorporated in common food containers and can be employed in fiber optic detection devices.

Abstract: A method of inhibiting or preventing the use of anhydrous ammonia as a solvent in a dissolving metal reduction process comprises adding to anhydrous ammonia a chemical reagent which is capable of scavenging solvated electrons generated when alkali or alkaline earth metal is dissolved in the anhydrous ammonia, the chemical reagent being added to the anhydrous ammonia such that when alkali metal is dissolved in the anhydrous ammonia containing the chemical reagent and thereafter ephedrine, pseudoephedrine or combination thereof is introduced to the anhydrous ammonia to produce a reaction product, the methamphetamine yield in the reaction product is below 50%, preferably below 10%, and more preferably below 1%. Preferred chemical reagents include Fe(III)citrate, ferrocene, 2-chloro-6-(trichloromethyl)pyridine and 1,1,1,2-tetrafluoroethane.

Abstract: The time between heartbeats is measured over a series of such heartbeats. The time interval between two successive events is calculated and stored as a first array. The time difference between adjacent heartbeat intervals is also calculated from the first array and recorded as a differential array. The differential array is subjected to frequency analysis. First the differential array data is linearly interpolated to increase the number of data samples. The interpolated data is then subjected to a fast fourier transform (FFT) yielding a power spectrum. Characteristic frequency ranges are then integrated and the resulting frequency domain spectrum(s) are analyzed for dominant frequency characteristics.

Abstract: A method of inhibiting or preventing the use of anhydrous ammonia as a solvent in a dissolving metal reduction process comprises adding to anhydrous ammonia a chemical reagent which is capable of scavenging solvated electrons generated when alkali or alkaline earth metal is dissolved in the anhydrous ammonia, the chemical reagent being added to the anhydrous ammonia such that when alkali metal is dissolved in the anhydrous ammonia containing the chemical reagent and thereafter ephedrine, pseudoephedrine or combination thereof is introduced to the anhydrous ammonia to produce a reaction product, the methamphetamine yield in the reaction product is below 50%, preferably below 10%. and more preferably below 1%. Preferred chemical reagents include Fe(III)citrate, ferrocene, 2-chloro-6-(trichloromethyl)pyridine and 1,1,1,2-tetrafluoroethane.

Abstract: A polymeric food spoilage sensor comprises a polymer containing a polyazamacrocyclic transition metal complex. The complex selectively binds biogenic amines, such as cadaverine, putrescine and histamine, which are released by food spoilage microorganisms. The polymer undergoes a detectable color change upon exposure to biogenic amine, thus indicating that food spoilage has probably occurred. In one embodiment, the polymer is molecularly imprinted with the biogenic amine to impart selective binding affinity. The polymer is easily incorporated in common food containers and can be employed in fiber optic detection devices.

Abstract: A polymeric food spoilage sensor comprises a polymer containing a polyazamacrocyclic transition metal complex. The complex selectively binds biogenic amines, such as cadaverine, putrescine and histamine, which are released by food spoilage microorganisms. The polymer undergoes a detectable color change upon exposure to biogenic amine, thus indicating that food spoilage has probably occurred. In one embodiment, the polymer is molecularly imprinted with the biogenic amine to impart selective binding affinity. The polymer is easily incorporated in common food containers and can be employed in fiber optic detection devices.

Abstract: A polymeric food spoilage sensor comprises a polymer containing a polyazamacrocyclic transition metal complex. The complex selectively binds biogenic amines, such as cadaverine, putrescine and histamine, which are released by food spoilage microorganisms. The polymer undergoes a detectable color change upon exposure to biogenic amine, thus indicating that food spoilage has probably occurred. In one embodiment, the polymer is molecularly imprinted with the biogenic amine to impart selective binding affinity. The polymer is easily incorporated in common food containers and can be employed in fiber optic detection devices.