Enhancing experiential learning via virtual environments

Research indicates Virtual Reality (VR) is delivering on it's promised potential to provide enhanced training and education outcomes. A significant research project, at the University of Queensland, has constructed a number of virtual contexts in which the phenomena experienced by patients who have psychosis are reproduced for use in psychiatry education. Symptoms of psychosis reproduced include delusions, hallucinations and thought disorder. The new software enables psychiatry students to experience the inner world of a patient with psychosis. Lecturers in psychiatry report VR has the potential to enhance student's abilities to actually 'feel' the types of emotions and physiological reactions a hallucination precipitates in a patient. The current work of the project and stages of software development will be demonstrated. The virtual environments provide a new method of delivering experiential learning opportunities to higher education classrooms.

BIBLIOTECA VIRTUAL: UMA ANÁLISE DOS FATORES ANTECEDENTES DA INTENÇÃO DE USO DOS ESTUDANTES DO ENSINO SUPERIOR

Diversos estudos sobre a aceitação e o uso de tecnologias de informação têm sido realizados por diferentes modelos conceituais que buscam demonstrar a existência de fatores que influenciam a intenção e comportamento dos usuários sobre um determinado sistema de informação. Alguns aspectos que potencializam as intenções de uso podem ser fundamentais para que o indivíduo adote, ou não, uma determinada tecnologia. Este estudo analisou os fatores antecedentes que podem influenciar a intenção de uso da Biblioteca Virtual de uma Instituição de Ensino Superior (IES). Dentre os modelos conceituais que estudam a adoção de tecnologias de informação, optou-se nesta pesquisa pelo Modelo de Aceitação de Tecnologia (TAM) proposto por Davis (1986). Neste modelo ainda foram adicionadas as variáveis externas Estímulo Docente e Hábito a fim de ampliar o poder de explicação da intenção de uso dos usuários em questão. Através de uma abordagem de investigação quantitativa, os dados foram coletados por meio de um instrumento de pesquisa com obtenção de resposta de 406 questionários. Os resultados obtidos por esta pesquisa confirmam a influência de diversos fatores posicionados em diferentes dimensões e proporcionam conclusões relevantes à adoção da biblioteca virtual. Conclui-se que o Estímulo Docente influencia positivamente a Facilidade de Uso, Utilidade Percebida e o Habito dos alunos de graduação sobre a intenção de uso da Biblioteca Virtual. Com isso, constatou-se que a influência do professor torna-se um fator determinante na intenção de uso da biblioteca virtual, o que ressalta a importância da orientação e recomendação dos professores no uso desta ferramenta tecnológica. O estudo concluiu que a utilidade percebida revelou-se o fator que mais influencia a intenção de uso desta tecnologia, pois há a percepção de que, caso o aluno venha utilizar a biblioteca virtual, pode-se melhorar seu desempenho nos estudos, entre outros aspectos. O Hábito também pode influenciar à adoção da biblioteca virtual de forma paralela às percepções sobre os benefícios que podem ser obtidos com o uso desta tecnologia.

DO VIRTUAL AO REAL: COMUNICAÇÃO, SEXO E INTERNET

Este trabalho é um estudo exploratório sobre o Ambiente Comunicacional Internet que investiga tanto a possibilidade da influência de suas ferramentas de interação/comunicação sobre o comportamento sexual e de risco quanto o desenvolvimento de comportamento compulsivo no uso destas ferramentas na busca de parceiros sexuais. A metodologia adotada é, além da pesquisa bibliográfica, a da pesquisa exploratória, um levantamento e análise de dados quantitativos e pode ser considerada como pertencente ao paradigma tradicional empírico, pois a coleta de dados foi baseada em respostas a questionários semi-estruturados, aplicados a um grupo de informação composto por 428 estudantes universitários dos cursos ligados à área de Computação e Informática de uma instituição particular de Ensino Superior do município de São Paulo SP, Brasil. Para isso, obedece à Resolução do Conselho Nacional de Saúde CNS 196/96 e conta com o TCLE. Os resultados indicam que as práticas sexuais, a exposição a DST e vírus HIV e, particularmente, a tendência ao desenvolvimento do Transtorno de Adicção à Internet se distinguem de modo irrefutável. Os participantes que alegaram buscar parceiros sexuais reais na Internet são diretos nos seus objetivos, pois quando encontram esse parceiro concretizam o ato sexual, em ambientes impessoais, como por exemplo, o motel, e muitas vezes de modo arriscado no que toca à prevenção e à segurança no contato com outro. Destaca-se, ainda, que a compulsão não é reconhecida pelo grupo e que a procura de parceiros por intermédio das mídias digitais, para esse grupo, não está relacionada a itens negativos quanto a sua qualidade de vida o que suscita o estudo e a discussão mais aprofundada sobre a interação comunicação, sexo e Internet .(AU)

miniDVMS v1.8 : A user manual(The data visualization and modeling system)

Today, the data available to tackle many scientific challenges is vast in quantity and diverse in nature. The exploration of heterogeneous information spaces requires suitable mining algorithms as well as effective visual interfaces. miniDVMS v1.8 provides a flexible visual data mining framework which combines advanced projection algorithms developed in the machine learning domain and visual techniques developed in the information visualisation domain. The advantage of this interface is that the user is directly involved in the data mining process. Principled projection methods, such as generative topographic mapping (GTM) and hierarchical GTM (HGTM), are integrated with powerful visual techniques, such as magnification factors, directional curvatures, parallel coordinates, and user interaction facilities, to provide this integrated visual data mining framework. The software also supports conventional visualisation techniques such as principal component analysis (PCA), Neuroscale, and PhiVis. This user manual gives an overview of the purpose of the software tool, highlights some of the issues to be taken care while creating a new model, and provides information about how to install and use the tool. The user manual does not require the readers to have familiarity with the algorithms it implements. Basic computing skills are enough to operate the software.

Visual data mining: integrating machine learning with information visualization

Today, the data available to tackle many scientific challenges is vast in quantity and diverse in nature. The exploration of heterogeneous information spaces requires suitable mining algorithms as well as effective visual interfaces. Most existing systems concentrate either on mining algorithms or on visualization techniques. Though visual methods developed in information visualization have been helpful, for improved understanding of a complex large high-dimensional dataset, there is a need for an effective projection of such a dataset onto a lower-dimension (2D or 3D) manifold. This paper introduces a flexible visual data mining framework which combines advanced projection algorithms developed in the machine learning domain and visual techniques developed in the information visualization domain. The framework follows Shneiderman’s mantra to provide an effective user interface. The advantage of such an interface is that the user is directly involved in the data mining process. We integrate principled projection methods, such as Generative Topographic Mapping (GTM) and Hierarchical GTM (HGTM), with powerful visual techniques, such as magnification factors, directional curvatures, parallel coordinates, billboarding, and user interaction facilities, to provide an integrated visual data mining framework. Results on a real life high-dimensional dataset from the chemoinformatics domain are also reported and discussed. Projection results of GTM are analytically compared with the projection results from other traditional projection methods, and it is also shown that the HGTM algorithm provides additional value for large datasets. The computational complexity of these algorithms is discussed to demonstrate their suitability for the visual data mining framework.

State intervention in technology in the post war years: case studies in technology policy

This thesis is concerned with the means by which the state in Britain has attempted to influence the technological development of private industry in the period 1945-1979. Particular emphasis is laid on assessing the abilities of technology policy measures to promote innovation. With that objective, the innovation literature is selectively reviewed to draw up an analytical framework to evaluate the innovation content of policy (Chapter 2). Technology policy is taken to consist of the specific measures utilised by government and its agents that affect the technological behaviour of firms. The broad sweep of policy during the period under consideration is described in Chapter 3 which concentrates on elucidating its institutional structure and the activities of the bodies involved. The empirical core of the thesis consists of three parallel case studies of policy toward the computer, machine tool and textile machinery industries (Chapters 4-6). The studies provide detailed historical accounts of the development and composition of policy, relating it to its specific institutional and industrial contexts. Each reveals a different pattern and level of state intervention. The thesis concludes with a comparative review of the findings of the case studies within a discussion centred on the arguments presented in Chapter 2. Topics arising include the state's differential support for the range of activities involved in innovation, the location of state-funded R&D, the encouragement of supplier-user contact, and the difficulties raised in adoption and diffusion.

A multimodal perspective on the composition of cortical oscillations:frontiers in human neuroscience

An expanding corpus of research details the relationship between functional magnetic resonance imaging (fMRI) measures and neuronal network oscillations. Typically, integratedelectroencephalography(EEG) and fMRI,orparallel magnetoencephalography (MEG) and fMRI are used to draw inference about the consanguinity of BOLD and electrical measurements. However, there is a relative dearth of information about the relationship between E/MEG and the focal networks from which these signals emanate. Consequently, the genesis and composition of E/MEG oscillations requires further clarification. Here we aim to contribute to understanding through a series of parallel measurements of primary motor cortex (M1) oscillations, using human MEG and in-vitro rodent local field potentials. We compare spontaneous activity in the ~10Hz mu and 15-30Hz beta frequency ranges and compare MEG signals with independent and integrated layers III and V(LIII/LV) from in vitro recordings. We explore the mechanisms of oscillatory generation, using specific pharmacological modulation with the GABA-A alpha-1 subunit modulator zolpidem. Finally, to determine the contribution of cortico-cortical connectivity, we recorded in-vitro M1, during an incision to sever lateral connections between M1 and S1 cortices. We demonstrate that frequency distribution of MEG signals appear have closer statistically similarity with signals from integrated rather than independent LIII/LV laminae. GABAergic modulation in both modalities elicited comparable changes in the power of the beta band. Finally, cortico-cortical connectivity in sensorimotor cortex (SMC) appears to directly influence the power of the mu rhythm in LIII. These findings suggest that the MEG signal is an amalgam of outputs from LIII and LV, that multiple frequencies can arise from the same cortical area and that in vitro and MEG M1 oscillations are driven by comparable mechanisms. Finally, corticocortical connectivity is reflected in the power of the SMC mu rhythm. © 2013 Ronnqvist, Mcallister, Woodhall, Stanford and Hall.

Delimited Massively Parallel Algorithm Based on Rules Elimination for Application of Active Rules in Transition P Systems

In the field of Transition P systems implementation, it has been determined that it is very important to determine in advance how long takes evolution rules application in membranes. Moreover, to have time estimations of rules application in membranes makes possible to take important decisions related to hardware / software architectures design. The work presented here introduces an algorithm for applying active evolution rules in Transition P systems, which is based on active rules elimination. The algorithm complies the requisites of being nondeterministic, massively parallel, and what is more important, it is time delimited because it is only dependant on the number of membrane evolution rules.

Solving Differential Equations by Parallel Laplace Method with Assured Accuracy

The paper has been presented at the 12th International Conference on Applications of Computer Algebra, Varna, Bulgaria, June, 2006

Automatic Identification of False Friends in Parallel Corpora: Statistical and Semantic Approach

False friends are pairs of words in two languages that are perceived as similar but have different meanings. We present an improved algorithm for acquiring false friends from sentence-level aligned parallel corpus based on statistical observations of words occurrences and co-occurrences in the parallel sentences. The results are compared with an entirely semantic measure for cross-lingual similarity between words based on using the Web as a corpus through analyzing the words’ local contexts extracted from the text snippets returned by searching in Google. The statistical and semantic measures are further combined into an improved algorithm for identification of false friends that achieves almost twice better results than previously known algorithms. The evaluation is performed for identifying cognates between Bulgarian and Russian but the proposed methods could be adopted for other language pairs for which parallel corpora and bilingual glossaries are available.

Pushing the Quality Level in Networked News Business: Semantic-Based Content Retrieval and Composition in International News Publishing

Electronic publishing exploits numerous possibilities to present or exchange information and to communicate via most current media like the Internet. By utilizing modern Web technologies like Web Services, loosely coupled services, and peer-to-peer networks we describe the integration of an intelligent business news presentation and distribution network. Employing semantics technologies enables the coupling of multinational and multilingual business news data on a scalable international level and thus introduce a service quality that is not achieved by alternative technologies in the news distribution area so far. Architecturally, we identified the loose coupling of existing services as the most feasible way to address multinational and multilingual news presentation and distribution networks. Furthermore we semantically enrich multinational news contents by relating them using AI techniques like the Vector Space Model. Summarizing our experiences we describe the technical integration of semantics and communication technologies in order to create a modern international news network.

Parallel Class Intersection Matrices of Orthogonal Resolutions

This work was partially supported by the Bulgarian National Science Fund under Contract No MM 1405. Part of the results were announced at the Fifth International Workshop on Optimal Codes and Related Topics (OCRT), White Lagoon, June 2007, Bulgaria

A utility model for volunteered service composition

Volunteered Service Composition (VSC) refers to the process of composing volunteered services and resources. These services are typically published to a pool of voluntary resources. The composition aims at satisfying some objectives (e.g. Utilizing storage and eliminating waste, sharing space and optimizing for energy, reducing computational cost etc.). In cases when a single volunteered service does not satisfy a request, VSC will be required. In this paper, we contribute to three approaches for composing volunteered services: these are exhaustive, naïve and utility-based search approach to VSC. The proposed new utility-based approach, for instance, is based on measuring the utility that each volunteered service can provide to each request and systematically selects the one with the highest utility. We found that the utility-based approach tend to be more effective and efficient when selecting services, while minimizing resource waste when compared to the other two approaches.

The Wide-Field Plate Database: Development and Access via Internet

ACM Computing Classification System (1998): J.2.