Possibilities to include in numerical simulation stochastic and discontinuous phenomena occurring in material

Simulation of materials processing has to face new difficulties regarding proper description of various discontinuous and stochastic phenomena occurring in materials. Commonly used rheological models based on differential equations treat material as continuum and are unable to describe properly several important phenomena. That is the reason for ongoing search for alternative models, which can account for non-continuous structure of the materials and for the fact, that various phenomena in the materials occur in different scales from nano to mezo. Accounting for the stochastic character of some phenomena is an additional challenge. One of the solutions may be the coupled Cellular Automata (CA) – Finite Element (FE) multi scale model. A detailed discussion about the advantages given by the developed multi scale CAFE model for strain localization phenomena in contrast to capabilities provided by the conventional FE approaches is a subject of this work. Results obtained from the CAFE model are supported by the experimental observations showing influence of many discontinuities existing in the real material on macroscopic response. An immense capabilities of the CAFE approach in comparison to limitations of the FE method for modeling of real material behavior is are shown this work as well.

Testing convergence of Fiji's tourism markets

The convergence hypothesis for tourism markets is based on the tenet that when tourism markets are converging the difference between total international visitor arrivals to a country and international visitor arrivals from a particular country will be stationary. We argue that if this is true, then convergence can also be tested through examining whether total visitor arrivals and visitor arrivals from a particular market are cointegrated. We test the convergence hypothesis by examining visitor arrivals to Fiji from eight tourist source markets, using both unit root and cointegration tests. We find strong statistical evidence that Fiji's tourism markets converge.

This story wants to be danced : creative writing, dance, convergence and confluence

I suggest ways the discipline of dance can enrich and challenge the discipline of creative writing. I focus particularly on improvisation in dance, relating this to creative writing pedagogy, classroom structure and activities. Much possibility exists in utilising moments when creative arts disciplines touch. How might creative writers and creative writing courses use such fusions? I draw on material theory and briefly upon transformative and collaborative education theories in my exploration of these ideas.

Concepts and dimensionality in modeling unsaturated water flow and solute transport

Many environmental studies require accurate simulation of water and solute fluxes in the unsaturated zone. This paper evaluates one- and multi-dimensional approaches for soil water flow as well as different spreading mechanisms to model solute behavior at different scales. For quantification of soil water fluxes,Richards equation has become the standard. Although current numerical codes show perfect water balances, the calculated soil water fluxes in case of head boundary conditions may depend largely on the method used for spatial averaging of the hydraulic conductivity. Atmospheric boundary conditions, especially in the case of phreatic groundwater levels fluctuating above and below a soil surface, require sophisticated solutions to ensure convergence. Concepts for flow in soils with macro pores and unstable wetting fronts are still in development. One-dimensional flow models are formulated to work with lumped parameters in order to account for the soil heterogeneity and preferential flow. They can be used at temporal and spatial scales that are of interest to water managers and policymakers. Multi-dimensional flow models are hampered by data and computation requirements.Their main strength is detailed analysis of typical multi-dimensional flow problems, including soil heterogeneity and preferential flow. Three physically based solute-transport concepts have been proposed to describe solute spreading during unsaturated flow: The stochastic-convective model (SCM), the convection-dispersion equation (CDE), and the fraction aladvection-dispersion equation (FADE). A less physical concept is the continuous-time random-walk process (CTRW). Of these, the SCM and the CDE are well established, and their strengths and weaknesses are identified. The FADE and the CTRW are more recent,and only a tentative strength weakness opportunity threat (SWOT)analysis can be presented at this time. We discuss the effect of the number of dimensions in a numerical model and the spacing between model nodes on solute spreading and the values of the solute-spreading parameters. In order to meet the increasing complexity of environmental problems, two approaches of model combination are used: Model integration and model coupling. Amain drawback of model integration is the complexity of there sulting code. Model coupling requires a systematic physical domain and model communication analysis. The setup and maintenance of a hydrologic framework for model coupling requires substantial resources, but on the other hand, contributions can be made by many research groups.

Differential convergence of life-cycle inventories toward upstream production layers

We present an input-output analysis of the life-cycle labor, land, and greenhouse gas (GHG) requirements of alternative options for three case studies: investing money in a new vehicle versus in repairs of an existing vehicle (labor), passenger transport modes for a trip between Sydney and Melbourne (land use), and renewable electricity generation (GHG emissions). These case studies were chosen to demonstrate the possibility of rank crossovers in life-cycle inventory (LCI) results as system boundaries are expanded and upstream production inputs are taken into account. They demonstrate that differential convergence can cause crossovers in the ranking of inventories for alternative functional units occurring at second-and higher-order upstream production layers.

Conversations on convergence : insiders' views on news production in the twenty-first century

Convergence is a major topic of discussion at professional and academic journalism conferences and seminars around the world. This book presents the insights of major players and academics in the field of convergence. Here is your chance to read what the experts think about one of the most significant changes that journalism faces. It should be on the desk of all managers keen to know where the future will take us, and on the reading list of every student of journalism and media.

Convergence's fundamental question

This paper asks the fundamental question of whether editorial managers and journalists are embracing convergence for business reasons or to do better journalism. Media organizations around the world are adopting various forms of convergence, and along the way embracing a range of business models. Several factors are influencing and driving the adoption of convergence—also known as multiple-platform publishing. Principal among them are the media's desire to reach as wide an audience as possible, consumers who want access to news in a variety of forms and times (news 24-7), and editorial managers' drive to cut costs. The availability of relatively cheap digital technology facilitates the convergence process. Many journalists believe that because that technology makes it relatively easy to convert and distribute any form of content into another, it is possible to produce new forms of storytelling and consequently do better journalism. This paper begins by defining convergence (as much as it is possible to do so) and describing the competing models. It then considers the environments that lead to easy introduction of convergence, followed by the factors that hinder it. Examples of converged media around the world are provided, and suggestions offered on how to introduce convergence. The paper concludes that successful convergence satisfies the twin aims of good journalism and good business practices.

Intersection of ideals : journalism, profits, technology and convergence

Journalism needs advertising and advertising needs journalism: advertising pays for good reporting just as good reporting attracts customers for advertising. Problems arise when the equation becomes unbalanced, such as during the recessions in the early part of the twenty-first century. This paper asks the key question of whether editorial managers and journalists are embracing convergence at this time for business reasons or to do better journalism. It begins from the perspective that media organisations around the world are adopting various forms of convergence, and along the way embracing a range of business models. Several factors are influencing and driving the adoption of convergence - also known as multiple-platform publishing. Principal among them are the media's desire to reach as wide an audience as possible, consumers who want access to news in a variety of forms and times (news 24/7), and editorial managers' drive to cut costs. The availability of relatively cheap digital technology facilitates the convergence process. Many journalists believe that because that technology makes it relatively easy to convert and distribute any form of content into another, it is possible to produce new forms of storytelling and consequently do better journalism. This paper begins by defining convergence (as much as it is possible to do so) and describing the key competing models. It then considers the environments that lead to easy introduction of convergence, followed by the factors that hinder it. Examples of converged media around the world are provided, and suggestions offered on how to introduce convergence. The paper concludes that successful convergence satisfies the twin aims of good journalism and good business practices.