Cybersickness Influences the Affectieve Appraisal of a Virtual Environment

We investigated if cybersickness has an effect on the affective appraisal of a virtual environment (VE). For many applications it is essential that users experience the simulated environment in a similar way as the corresponding real one. Navigation through VEs is known to negatively influence the physical well-being of observers by inducing cybersickness. Since people tend to misattribute their feelings to the environment they perceive, cybersicknesss may influence their affective appraisal of a VE. Participants passively watched a simulated walk through a VE, while the visual scene continuously performed a quasi-sinusoidal frontal roll oscillation. Immediately after the exposure, they reported their experienced level of cybersickness and assessed the environment on a semantic differential scale. People experiencing cybersickness rated the environment as less pleasant and more arousing, as compared to people with no symptoms. Thus, users suffering from cybersickness misattributed their unpleasant feelings to the affective qualities of the VE. Applications that rely on VEs to evoke the same emotional and affective user responses as their real equivalent should therefore minimise or account for the incidence of cybersicknes

Google Earth based visualization of Dutch land use scenarios: beyond usability

This contribution describes GESO, a tool to prepare a Google Earth visualization of the Dutch land use scenarios as created by the Netherlands Environmental Assessment Agency. This Google Earth (GE) for the Sustainable Outlook tool, named GESO aims to be an effective, easy and low cost way to study Sustainable Outlook data via an interactive 3D visualization that integrates the land use icon and landscape feature approach as presented in the VisualScan study. The concept, implementation and usability of GESO are explained, concluded and discussed. The paper starts to explain the context of GESO and the intention to visualize 3-dimensionally land use changes (Al-Kodmany, 2001; Borsboom- van Beurden, 2006; Lammeren, 2004). Out of this context the concept of GESO is presented (architecture). It combines two Dutch authorized datasets (AHN and Top10Vec) into a semi-3D dataset. The impact of the tiling of these data is discussed as well. Secondly the tool transforms these semi 3D data and the Sustainable Outlook results, as created via LUMOS, and linked with 2D- and 3D-objects, into KML files. The KML files, to be viewed by GE, offer the user different levels of detail and combinations of current and future land use to be presented 2D and 3D (visualization). The usability (Sheppard, 2001, Hudson-Smith, 2005) of GESO is explained via the questionnaire that has been offered to many policy makers on different administration levels. The preliminary outcomes of this questionnaire will be presented as well. The type of application and its results will be discussed with reference to comparable approaches. References: Al Kodmany, K. (2001) Supporting imageability on the World Wide Web: Lynch's five elements of the city in community planning. Environment and Planning B: Planning and Design. 2001;, 28, 805-832. Borsboom,-van Beurden, J.A.M. (2006), Linking land use modelling and 3D visualisation. A mission impossible In: J. van Leeuwen and H. Timmermans, Innovations in Design and Decision Support Systems in Architecture and Urban Planning, pp. 85-102. Hudson-Smith, A., S. Evans and M. Batty, 2005, Building the Virtual City: Public Participation through e-Democracy, Knowledge, Technology & policy, (18)1, pp.62-85. Lammeren, R. van, R. Olde Loohuis, A. Momot, and S. Ottens, 2004,, VisualScan: 3D visualisations of 2D scenarios, CGI-report 2004-09, ISSN 1568-1874, Wageningen Sheppard, S.R.J., 2001. Guidance for crystal ball gazers: developing a code of ethics for landscape visualisation. Landscape and Urban Planning 54 (1-4): 183-199

Are traditional minority languages a bench marking for the rights of migrant languages in the European Union?

In this paper a normative position will be defended. We will argue that minimal territorial minority language rights formulated in terms of the personality principle referring to traditional minority languages granted in the framework of the European Union (EU) are a benchmark for non-territorial linguistic rights. Although territorial minority languages should be granted collective rights this is in large parts of Europe not the case. Especially in the Central and Eastern European Member States language rights granted to territorial languages are assigned on the basis of personal language rights. Our argumentation will be elaborated on the basis of a comparative approach discussing the status of a traditional territorial language in Romania, more in particular Hungarian spoken in the Szeklerland area with the one of migrant languages in the Netherlands, more in particular Turkish. In accordance with the language hierarchy implying that territorial languages have a higher status than non-territorial languages both in the EUs and Member States’ language regimes nonterritorial linguistic rights will be realized as personal rights in the first place. Hence, the use of non-territorial minority languages is conditioned much as the use of territorial minority languages in the national Member States. So, the best possible scenario for mobile minority languages is to be recognized as a personal right and receive full support from the states where they are spoken. It is true that learning the host language would make inclusion of migrant language speakers into the host society smoother and securing a better position on the labour market. This should however be done without striving for full assimilation of the speakers of migrant languages for this would violate the linguistic rights of migrants to speak and cultivate one’s own heritage language, violate the EUs linguistic diversity policy, and is against the advantages provided by linguistic capital in the sense of BOURDIEU (1991)

Adult Pelvic Sarcomas: A Heterogeneous Collection of Sarcomas?

Introduction. Adult pelvic soft tissue sarcomas are a rare group of heterogeneous malignancies. These sarcomas differ from extremity and trunk soft tissue sarcomas in presentation, characteristics and response to treatment

Structure Alignment

While many good textbooks are available on Protein Structure, Molecular Simulations, Thermodynamics and Bioinformatics methods in general, there is no good introductory level book for the field of Structural Bioinformatics. This book aims to give an introduction into Structural Bioinformatics, which is where the previous topics meet to explore three dimensional protein structures through computational analysis. We provide an overview of existing computational techniques, to validate, simulate, predict and analyse protein structures. More importantly, it will aim to provide practical knowledge about how and when to use such techniques. We will consider proteins from three major vantage points: Protein structure quantification, Protein structure prediction, and Protein simulation & dynamics. The Protein DataBank (PDB) contains a wealth of structural information. In order to investigate the similarity between different proteins in this database, one can compare the primary sequence through pairwise alignment and calculate the sequence identity (or similarity) over the two sequences. This strategy will work particularly well if the proteins you want to compare are close homologs. However, in this chapter we will explain that a structural comparison through structural alignment will give you much more valuable information, that allows you to investigate similarities between proteins that cannot be discovered by comparing the sequences alone.Comment: editorial responsability: K. Anton Feenstra, Sanne Abeln. This chapter is part of the book "Introduction to Protein Structural Bioinformatics". The Preface arXiv:1801.09442 contains links to all the (published) chapters. The update adds available arxiv hyperlinks for the chapter

Structure Alignment

While many good textbooks are available on Protein Structure, Molecular Simulations, Thermodynamics and Bioinformatics methods in general, there is no good introductory level book for the field of Structural Bioinformatics. This book aims to give an introduction into Structural Bioinformatics, which is where the previous topics meet to explore three dimensional protein structures through computational analysis. We provide an overview of existing computational techniques, to validate, simulate, predict and analyse protein structures. More importantly, it will aim to provide practical knowledge about how and when to use such techniques. We will consider proteins from three major vantage points: Protein structure quantification, Protein structure prediction, and Protein simulation & dynamics. The Protein DataBank (PDB) contains a wealth of structural information. In order to investigate the similarity between different proteins in this database, one can compare the primary sequence through pairwise alignment and calculate the sequence identity (or similarity) over the two sequences. This strategy will work particularly well if the proteins you want to compare are close homologs. However, in this chapter we will explain that a structural comparison through structural alignment will give you much more valuable information, that allows you to investigate similarities between proteins that cannot be discovered by comparing the sequences alone

Online web tool for data visualization

This deliverable lays out the work as done as part of MACSUR CropM on data, with the focus on providing a web tool for visualization of model output. It was decided early on that not a specific MACSUR web tool would be developed as part of MACSUR for phase 1, and mostly results would be visualized in other available tools, such as the Global Yield Gap Atlas, which are recognised resources for visualizations. Only in relationship to the MACSUR Geonetwork data catalog hosted at Aarhus University some developments where started. Operationally speaking, most data was still being generated during phase 1, so there was not enough to visualize on specific websites and partners did not commit financial resources to their development, and only in kind was available

Usability of Discovery Portals

As INSPIRE progresses to be implemented in the EU, many new discovery portals are built to facilitate finding spatial data. Currently the structure of the discovery portals is determined by the way spatial data experts like to work. However, we argue that the main target group for discovery portals are not spatial data experts but professionals with limited spatial knowledge, and a focus outside the spatial domain. An exploratory usability experiment was carried out in which three discovery portals were assessed by five participants representing the main target group “the professional outside the spatial domain”. The aim was to accept or reject our proposition that discovery portals are difficult to use for non-GIS specialists, and to identify the main obstacles in the interface. The Think Aloud Protocol was used to conduct the test. The participants were asked to perform the same search task in three discovery portals. Performance, accuracy and emotional response of the participants were assessed. Given the language constraints and the concise task the differences between the discovery portals were found to be relatively small. We conclude that for all portals indexing and underlying techniques are well implemented. The content of metadata is a point of concern. We recommend that more attention should be given to the requirements and expectations of the end-user and the discoverability of the data sets when creating metadata. But most of all the design and implementation of the client interface should be improved