This study aims to determine long-term spatial variability of wind and wave characteristics over the Sea Marmara. For this purpose, we produced four different datasets for a period 40 years (1979–2018) using calibrated default-setting SWAN models forced with both CFSR ERA-Interim winds inter-compared. The performance these is examined against height measurements 2015 at Silivri buoy station 27-...

Mathematics) On Computing Smooth, Singular, and Nearly Singular Integrals on Implicitly Defined Surfaces by Jason R. Wilson Department of Mathematics Duke University

The books with a specific cultural theme written in foreign language stand out as remarkable type of texts terms Translation Studies. In such books, description native culture reflects features similar to translation, and it is called ‘foreign creation,’ the product translation process ongoing writer’s mind. While these seem be into language, their back represents ‘back translation’ sense witho...

Herein we further explore whether the power of arbitrage to induce people to exhibit more rational behavior extends to diverse decision-making tasks and stated valuation over preferences for gambles. We examine how arbitrage in a preference reversal setting affects behavior for the valuation of low probability food safety risks, the Allais Paradox, and the Ellsberg paradox. We design a three-st...

Many models for the study of point-referenced data explicitly introduce spatial random effects to capture residual spatial association. These spatial effects are customarily modelled as a zeromean stationary Gaussian process. The spatial Dirichlet process introduced by Gelfand et al. (2005) produces a random spatial process which is neither Gaussian nor stationary. Rather, it varies about a pro...

Current BDI agent frameworks often lack necessary modularity, scalability and are hard to integrate with non-agent applications. This paper reports ongoing research on LightJason, a multi-agent BDI framework based on AgentSpeak(L), ne-tuned to concurrent plan execution in a distributed framework; LightJason aims at e cient and scalable integration with existing platforms. We state requirements ...

Large-scale crowd simulations require distributed computer architectures and efficient parallel techniques to achieve the rendering of visually plausible images while simulating the behaviour of crowds of autonomous agents. The Java-based multiagent platforms, devoted to provide the agents with the required lifecycle, represent a key middleware in crowd systems. However, since they are oriented...