HOW HITTING THE HURDLE AFFECTS PERFORMANCE IN THE 110 M HURDLES

This study aimed to clarify the kinematic factors of hurdle hitting and its effect on the performance in 110-m Hurdles. Three male hurdlers volunteered. The trial which from start to the second hurdle was conducted about 20 times and these trials were recorded by motion capture system with 240 Hz. From all trials, 19 Non-Hitting Trials (NHT) and 33 Hitting Trials (HT) were classified. Kinematic variables and hitting grade, which is a value obtained by root mean square of the acceleration of hurdle’s bar, were calculated. As a result, the cause of hitting the hurdle was the low height of centre of mass (CoM) of the body at the take-off. Moreover, hitting grade was correlated with decrease in velocity by hurdle hitting during the hurdle clearance phase (r = 0.43). Furthermore, a decrease in running speed after landing at the first hurdle was also confirmed in HT trials

The influence of decision-making rules on individual preference for ecological restoration: Evidence from an experimental survey

We conduct an experimental survey to analyze how rules for collective decision-making influence individual preferences concerning nature restoration projects. Our study compares two decision-making rules - a consensus rule and a majority rule - wherein participants decide on a plan concerning nature restoration in the Kushiro Wetland, Japan. Our main finding is that the difference between the individual preferences and collective decision-making is less significant under the consensus rule than the majority rule. Furthermore, there is a larger disparity with regard to the marginal willingness to pay between collective and individual decisions when participants are unsatisfied with the results of collective choice.

Arbitrary shape surface Fresnel diffraction

Fresnel diffraction calculation on an arbitrary shape surface is proposed. This method is capable of calculating Fresnel diffraction from a source surface with an arbitrary shape to a planar destination surface. Although such calculation can be readily calculated by the direct integral of a diffraction calculation, the calculation cost is proportional to $O(N^2)$ in one dimensional or $O(N^4)$ in two dimensional cases, where $N$ is the number of sampling points. However, the calculation cost of the proposed method is $O(N \log N)$ in one dimensional or $O(N^2 \log N)$ in two dimensional cases using non-uniform fast Fourier transform