An instantiation of the Cramer-Shoup encryption paradigm using bilinear map groups

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The security of PSEC-KEM versus ECIES-KEM

Contains fulltext : 33145.pdf (preprint version ) (Open Access

Lambda Hyperons in 2 A*GeV Ni + Cu Collisions

A sample of Lambda's produced in 2 A*GeV Ni + Cu collisions has been obtained with the EOS Time Projection Chamber at the Bevalac. Low background in the invariant mass distribution allows for the unambiguous demonstration of Lambda directed flow. The transverse mass spectrum at mid-rapidity has the characteristic shoulder-arm shape of particles undergoing radial transverse expansion. A linear dependence of Lambda multiplicity on impact parameter is observed, from which a total Lambda + Sigma^0 production cross section of $112 +/- 24 mb is deduced. Detailed comparisons with the ARC and RVUU models are made.Comment: Revised version accepted for publication in Phys. Lett.

Association Between The Electromyographic Fatigue Threshold And Ventilatory Threshold

The objective of this study is to verify the coincidence between the occurrence of the electromyographic fatigue threshold (EMGth) and the ventilatory threshold (Vth) in an incremental test in the cyclosimulator, as well as to compare the calculation of the RMS from the EMG signal using different time windows. Thirteen male cyclists (73.7 ± 12.4 kg and 174.3 ± 6.2 cm) performed a ramp incremental test (TI) in a cyclosimulator until voluntary exhaustion. Before the start of each TI subjects had the active bipolar electrodes placed over the superficial muscles of the quadriceps femoris (QF) of the right leg: rectus femoris (RF), vastus medialis (VM) and vastus lateralis (VL). The paired student's t test, pearson's correlation coefficient and the analysis method described by Bland and Altman for the determination of the concordance level were used for statistical analysis. The significance level adopted was P < 0.05. Although no significant differences were found between Vth and the EMG th calculated from windows of 2, 5, 10, 30 and 60 seconds in the studied muscles, it is suggested that the EMGth values determined from the calculation of the RMS curve with windows of 5 and 10 seconds seem to be more appropriate for the calculation of the RMS curve and determination of EMGth from visual inspection.496-7305310Basmajian, J.V., DeLuca, C.J., (1985) Muscles Alive: Their Functions Revealed by Electromyography, , Williams & WilkinsBland, J.M., Altman, D.G., Statistical methods for assessing agreement between two methods of clinical measurement (1986) Lancet, 1, pp. 307-310(2006) Encyclopedia of Medical Devices and Instrumentation, pp. 98-109. , DELUCA, C.J.: Electromyography. In: WEBSTER, J.G. (Ed.). John Wiley PublisherGordon, C.C., Chumlea, W.C., Roche, A.F., Stature, recumbent length, and weight (1988) Anthropometric Standardization Reference Manual, , T. LOHMAN, G., ROCHE, A.F. and MARTORELL, F., eds. Champaign: Human KineticsHelal, J.N., Guezennec, C.Y., Goubel, F., The aerobic-anaerobic transition: Re-examination of the threshold concept including an electromyographic approach (1987) Eur. J. Appl. Physiol., 56, pp. 643-649Hermens, H.J., Freriks, B., Disselhorst-Klug, C., Rau, G., Development of recommendations for SEMG sensors and sensor placement procedures (2000) J. Electromyogr. Kinesiol., 10 (5), pp. 361-374Hug, F., Laplaud, D., Savin, B., Grelot, L., Occurrence of electromyographic and ventilatory thresholds in professional road cyclists (2003) Eur. J. Appl. Physiol., 90 (5-6), pp. 643-646Hug, F., Raucher, M., Kipson, N., Jammes, Y., EMG signs of neuromuscular fatigue related to the ventilatory threshold during cycling exercise (2003) Clin. Physiol. Funct. Imaging., 23 (4), pp. 208-214Hug, F., Faucher, M., Marqueste, T., Guillot, C.H., Kipson, N., Jammes, Y., Electromyographic signs of neuromuscular fatigue are concomitant with further increase in ventilation during static handgrip (2004) Clin. Physiol. Funct. Imaging., 24 (1), pp. 25-32Hug, F., Laplaud, D., Lucia, A., Grelot, L.A., Comparison of visual and mathematical detection of the electromyographic threshold during incremental pedaling exercise: A pilot study (2006) Journal of Strength and Conditioning Research, 20 (3), pp. 704-708Merletti, R., Knaflitz, M., DeLuca, C.J., Electrically evoked myoelectric signals (1992) Crit. Rev. Biomed. Eng., 19 (4), pp. 293-340McLellan, T.M., Ventilatory and plasma lactate response with different exercise protocols: A comparison of methods (1985) Int. J. Sports Med., 6 (1), pp. 30-35Moritani, T., (1980) Anaerobic Threshold Determination by Electromyography (Doctoral Dissertation), , University of Southerns CaliforniaNagata, A., Muro, M., Moritani, T., Yoshida, T., Anaerobic threshold determination by blood lactate and myoelectric signals (1981) Jpn. J. Physiol., 31 (4), pp. 585-597Viitasalo, J.T., Luhtanen, P., Rahkila, P., Rusko, H., Electromyographic activity related to aerobic and anaerobic threshold in ergometer bicycling (1985) Acta. Physiol. Scand., 124 (2), pp. 287-29

Vector Valued Martingale-Ergodic and Ergodic-Martingale Theorems

We prove martingale-ergodic and ergodic-martingale theorems for vector valued Bochner integrable functions. We obtain dominant and maximal inequalities. We also prove weighted and multiparameter martingale-ergodic and ergodic martingale theorems.Comment: 14 page