Abstract. Interactive Narrative in game environments acts as the main catalyst to provide a motivating learning experience. In previous work, we have described how the use of a dual narrative generation technique could help to resolve the conflict between allowing high player student agency and also the track of the learning process. In this paper, we define a novel architecture that assists the dual narrative generation technique to be employed effectively in an adaptive educational game environment. The architecture composes components that individually have shown effectiveness in educational games environments. These components are graph structured narrative, dynamically generated narrative, evolving agents and a student model. An adaptive educational game, AEINS, has been developed to investigate the synergy of the architecture components. AEINS aims to foster character education at 8-12 year old children through the use of various interactive moral dilemmas that attempt the different student's cognitive levels. AEINS was evaluated through a study involved 20 participants who interacted with AEINS on an individual basis.

Abstract: Screening for vapor intrusion potential is likely to be required at a large number of sites in the future, due to federal or state requirements, real estate transactions, or voluntary cleanups. At most sites, the authors expect that only groundwater data will be available in sufficient

Abstract. This paper presents a novel method for realistic simulation of solid objects ’ burning. The temperature field is first constructed based on combustion theories. Then, a temperature field motivated interaction model (TFMI) is proposed to simulate the interactions between the fire and the objects during burning. In TFMI, the decomposition of the objects is modeled by improving the level set method and the spreading of fire is calculated using the updated temperature field at each time step. Our method can deal with varied topologies of different objects during burning. The fire is simulated by adopting stable fluid method and integrated into the whole burning scenes. Finally, various solid objects ’ burning scenes are rendered automatically using the above model. The experiment results show the validity of our method. 1

Research article The nature and fate of natural resins in the geosphere. XII. Investigation of C-ring aromatic diterpenoids in Raritan amber by pyrolysis-GC-matrix isolation FTIR-MS

Abstract. Transcriptional attenuation at E.coli’s tryptophan operon is a prime example of RNA-mediated gene regulation. In this paper, we present a discrete stochastic model of the fine-grained control of attenuation, based on chemical reactions. Stochastic simulation of our model confirms results that were previously obtained by master or differential equations. Our approach is easier to understand than master equations, although mathematically well founded. It is compact due to rule schemas that define finite sets of chemical reactions. Object-centered languages based on the π-calculus would yield less intelligible models. Such languages are confined to binary interactions, whereas our model heavily relies on reaction rules with more than two reactants, in order to concisely capture the control of attenuation. 1

Abstract. We present the attributed π-calculus for modeling concurrent systems with interaction constraints depending on the values of attributes of processes. The λ-calculus serves as a constraint language underlying the π-calculus. Interaction constraints subsume priorities, by which to express global aspects of populations. We present a nondeterministic and a stochastic semantics for the attributed π-calculus. We show how to encode the π-calculus with priorities and polyadic synchronization π @ and thus dynamic compartments, as well as the stochastic π-calculus with concurrent objects spico. We illustrate the usefulness of the attributed π-calculus for modeling biological systems at two particular examples: Euglena’s spatial movement in phototaxis, and cooperative protein binding in gene regulation of bacteriophage lambda. Furthermore, population-based model is supported beside individual-based modeling. A stochastic simulation algorithm for the attributed π-calculus is derived from its stochastic semantics. We have implemented a simulator and present experimental results, that confirm the practical relevance of our approach. 1

(MMOGs) can include millions of concurrent players spread across the world and interacting with each other within a single session. Faced with high resource demand variability and with misfit resource renting policies, the current industry practice is to over-provision for each game tens of self-owned data centres, making the market entry affordable only for big companies. Focusing on the reduction of entry and operational costs, we investigate a new dynamic resource provisioning method for MMOG operation using external data centres as low-cost resource providers. First, we identify in the various types of player interaction a source of short-term load variability, which complements the long-term load variability due to the size of the player population. Then, we introduce a combined MMOG processor, network, and memory load model that takes into account both the player interaction type and the population

proposed by Herbert Simon (1957, p. xii), with the transaction as rival units of analysis for developing the economics of organisation, and celebrates the victory of transaction cost economics as a theory of organisational forms. No usable analytical structure, by contrast, has been built

8.1 This chapter will discuss the purpose and structure of the other changes in financial assets and liabilities account along the lines in the 1993 SNA Chapter XII and GFSM 2001 Chapter 10. It will state that this account captures changes in financial assets and liabilities

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