Suchergebnisse

Abstract
Over two decades from 1949 until the resumption of the diplomatic relations between these two countries in 1972, West German companies never gave up on the Chinese market despite substantial difficulties caused by Cold War frictions. This paper exams the payment transactions and terms of credits for financing industrial projects between the PRC and West German companies.

A game‐theoretic model is developed where an infrastructure of N targets is protected against terrorism threats. An original threat score is determined by the terrorist's threat against each target and the government's inherent protection level and original protection. The final threat score is impacted by the government's additional protection. We investigate and verify the effectiveness of countermeasures using empirical data and two methods. The first is to estimate the model's parameter values to minimize the sum of the squared differences between the government's additional resource investment predicted by the model and the empirical data. The second is to develop a multivariate regression model where the final threat score varies approximately linearly relative to the original threat score, sectors, and threat scenarios, and depends nonlinearly on the additional resource investment. The model and method are offered as tools, and as a way of thinking, to determine optimal resource investments across vulnerable targets subject to terrorism threats.

Our aim was to investigate the cognitive neural basis, the behavioral characteristics, and the cognitive process of decision making with a group of 30 healthy Chinese adults. Two conditions with tasks drawn from prospect theory allowed us to examine how different risky decisions and
related behaviors activate specific brain regions. Participants completed 2 decision tasks in which the amount of possible monetary gain and loss differed. Event-related potentials recorded for analysis during these tasks involved the N2 and P3 components. Participants' behaviors showed risk
aversion in the monetary gain condition and risk seeking in the loss condition. Reaction time for risk-seeking decisions in a loss condition was significantly slower than for the same decision in a gain condition. The reactions to uncertainty shared a general neural network, but reactions
were activated with different intensities in certain brain regions.