The authors, report here on the deposition of metallic copper thin films by plasma-assisted atomic layer deposition (ALD) with an air stable and volatile precursor À [Cu((Py)CHCOCF 3 ) 2 ] 2 (Py ¼ pyridine) À that stands out due to its facile synthesis and easy handling under ambient conditions. Copper thin films are obtained by decomposing [Cu((Py)CHCOCF 3 ) 2 ] 2 in hydrogen plasma in a concomitant deposition and recrystallization process. The thermal stability of the precursor prevents thermally induced decomposition, which allows precise control over thickness and film homogeneity. Electrical measurements of the as-deposited samples show clear interdependence of sheet resistance on the substrates surface roughness, thereby, films with higher roughness show higher resistance. Combined X-Ray photoelectron spectroscopy of Cu 2p peak and Cu LMM peak, as well as resistivity values of 58 V & À1 confirm the high quality of copper films without the need of further annealing steps under reducing atmosphere.

The primary objective in this research involves determining the Air Force Physical Fitness Test's (AFPFT) predictability of combat fitness and whether measures within the AFPFT require modification to increase this predictability further. We recruited 60 female volunteers and compared their performance on the AFPFT to the Marine Combat Fitness Test, the proxy for combat fitness. We discovered little association between the two (R(2) of 0.35), however, this association significantly increased (adjusted R(2) of 0.56) when utilizing the raw scores of the AFPFT instead of using the gender/age scoring tables. Improving on these associations, we develop and propose a simple ordinary least squares regression model that minimally impacts the AFPFT testing routine. This two-event model for predicting combat fitness incorporates the 1.5-mile run along with the number of repetitions of a 30-lb dumbbell from chest height to overhead with arms extended during a 2-minute time span. These two events predicted combat fitness as assessed by the Marine Combat Fitness Test with an adjusted R(2) of 0.82. By adopting this model, we greatly improve the Air Force's ability to assess combat fitness for women.

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