g no chemicals use and high solid concentration operation (c) 2

g. no chemicals use and high solid concentration operation. (c) 2013 Society of Chemical Industry”
“Magnetic and magnetotransport properties measurements of Cu80Fe10Ni10 (at. %) melt spun and annealed ribbons were combined to study the magnetic interactions present in this system. Those ribbons are composed of magnetic FeNi rich precipitates embedded in a nonmagnetic

Cu rich matrix. When the precipitates are small enough, they have a superparamagnetic behavior. Upon annealing the precipitates get larger and progressively turn ferromagnetic. The relatively high magnetoresistive properties are attributed to the presence of those superparamagnetic precipitates. Using Mossbauer spectrometry, Zero Field Cooled/Field Cooled and magnetization curves, the presence of interactions among the precipitates was evidenced, which degrades the magnetoresistance properties. Using Allia model, the magnetic coherence length JPH203 R-m between the precipitates was calculated and compared with the mean free path of the electrons lambda, with the precipitates

size and the mean distance between them. Three different regimes were observed. At high fields, where R-m < lambda, meaning that the precipitates CA3 price are not interacting, at smaller fields, where R-m > lambda and the precipitates are in the so called “”interacting superparamagnetic regime,”" and at low fields, and at 5 K, R-m > 10 lambda, the magnetic interactions among the precipitates are strong and give rise to a hysteresis on the magnetization curves. (C) 2009 American Institute of

Physics. [DOI: 10.1063/1.3117217]“
“Background: Exercise performance improvement after training in heart failure (HF) can be due to central or peripheral changes.

Methods and Results: In 70 HF stable patients we measured peak VO(2) and cardiac output (CO, inert gas rebreathing technique) and calculated arteriovenous O(2) differences (a-v O(2)diff) before and after an 8-week training program. Peak VO(2) changed from 1111 +/- 403 mL/minute to 1191 +/- 441 (P < .001), peak workload from GSK690693 68 +/- 29 watts to 76 +/- 32 (P < .0001), peakCO from 6.6 +/- 2.2 L/minute to 7.3 +/- 2.5 (P < .0001), and peak a-v O(2)diff from 17.5 +/- 5.1 mL/100 mL to 16.6 +/- 4.1 (P = .081). Changes in peak CO and a-v O(2)diff allowed to identify 4 behaviors: group 1: (n = 15) reduction in peak CO and increase in a-v O(2)diff (peak VO(2) unchanged, peak workload +9.5%); group 2: (n = 16) both peak CO and a-v O(2)diff increased as well as peak VO(2) (23%) and workload (18%); group 3: (n = 4) peak CO and a-v O(2)diff reduced as well as peak VO(2) (-18%) and workload (-5%); group 4: (n = 35) peak CO increased with a-v O(2)diff reduced (increase in peak VO(2) by 5.5 and workload by 8.4%).

Conclusions: Exercise training improves peakVO(2) by increasing CO with unchanged a-v O(2)diff.

Comments are closed.