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Mornieux, G, Weltin, E, Friedman, C, Pauls, M, Forsythe, S, and Gollhofer, A. Influence of a functional core stability program on trunk and knee joint biomechanics in female athletes during lateral movements. J Strength Cond Res 35(10): 2713-2719, 2021-Trunk positioning has been shown to be associated with knee joint loading during athletic tasks, especially changes of direction. Quasistatic and conventional core stability (CS) training did not improve the biomechanics of cutting maneuvers according to reports in the literature. The purpose of this study was to test whether a 5-week dynamic and functional CS training program would improve trunk positioning and knee joint control during lateral movements. Nineteen female athletes participated in a longitudinal study, where lateral reactive jumps (LRJs) and unanticipated cuttings were performed before and after CS training (15 training sessions within 5 weeks) while 3D kinematics and kinetics were measured. In addition, core endurance and power were evaluated. Core stability training increased trunk rotation in the new movement direction (p = 0.02) during LRJ. However, lateral trunk lean was significantly increased during LRJ (from 5.6 to 7°) and cuttings (from 3.8 to 5.8°) after CS training. Knee joint abduction moment was not influenced. Finally, core endurance (p < 0.01) and core power (p < 0.001) were significantly improved after CS training. A 5-week dynamic and functional CS training program improved core muscle endurance and power. This might explain the better trunk rotation toward the new movement direction during LRJ; however, it was not effective during unanticipated cuttings. The practical application of this research will allow strength and conditioning professionals to setup training programs with simple and relevant exercises to increase the core endurance and power of trained individuals.

A general approach for calibrating Monte Carlo models to the market prices of benchmark securities is presented. Starting from a given model for market dynamics (price diffusion, rate diffusion, etc.), the algorithm corrects price-misspecifications and finite-sample effects in the simulation by assigning "probability weights" to the simulated paths. The choice of weights is done by minimizing the Kullback–Leibler relative entropy distance of the posterior measure to the empirical measure. The resulting ensemble prices the given set of benchmark instruments exactly or in the sense of least-squares. We discuss pricing and hedging in the context of these weighted Monte Carlo models. A significant reduction of variance is demonstrated theoretically as well as numerically. Concrete applications to the calibration of stochastic volatility models and term-structure models with up to 40 benchmark instruments are presented. The construction of implied volatility surfaces and forward-rate curves and the pricing and hedging of exotic options are investigated through several examples.

A multidisciplinary conference composed of the essential medical, surgical, dental, and allied specialists involved in the region of the head and neck, with resources to call upon other contributors when necessary, was undertaken at a major teaching center in the Northeastern U.S.A. (Long Island Jewish Hillside Medical Center). Meeting on a bimonthly basis with referrals accepted from all sources, but non-publicized, a total of 343 patients were seen over a period of 50 months. The results indicate that optimum patient care can be achieved with a minimum loss of time for treatment initiation and substantial cost savings from these specialists meeting as a group.