Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information science.

A thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Information Systems.

Comparative analysis of two-dimensional electrophoresis maps (2-DE) of Helicobacter pylori from Brazilian patients with chronic gastritis and duodenal ulcer: a preliminary report

Helicobacter pylori is a bacterium recognized as the major cause of peptic ulcer and chronic gastritis. Recently, a proteome-based approach was developed to investigate pathogenic factors related to H. pylori. In this preliminary study, H. pylori strains were isolated from gastric biopsies of patients with chronic gastritis and duodenal ulcers. A partial proteomic analysis of H. pylori strains was performed by bacterial lyses and proteins were separated by two-dimensional gel electrophoresis (2-DE). A comparative analysis was performed to verify a differential protein expression between these two 2-DE maps. These data should be useful to clarify the role of different proteins related to bacterial pathogenesis. This study will be completed using a larger number of samples and protein identification of H. pylori by MALDI-TOF mass spectrometry.

Post-MAPS: An interactive acquisition platform for gastroenterology

Post-MAPS is a web platform that collects gastroenterological exam data from several european hospital centers, to be used in future clinical studies and was developed in partnership with experts from the gastroenterological area and information technology (IT) technicians. However, although functional, this platform has some issues that are crucial for its functioning, and can render user interaction unpleasant and exhaustive. Accordingly, we proposed the development of a new web platform, in which we aimed for an improvement in terms of usability, data uni cation and interoperability. Therefore, it was necessary to identify and study different ways of acquiring clinical data and review some of the existing clinical databases in order to understand how they work and what type of data they store, as well as their impact and contribution to clinical knowledge. Closely linked to the data model is the ability to share data with other systems, so, we also studied the concept of interoperability and analyzed some of the most widely used international standards, such as DICOM, HL7 and openEHR. As one of the primary objectives of this project was to achieve a better level of usability, practices related to Human Computer-Interaction, such as requirement analysis, creation of conceptual models, prototyping, and evaluation were also studied. Before we began the development, we conducted an analysis of the previous platform, from a functional point of view, which allowed us to gather not only a list of architectural and interface issues, but also a list of improvement opportunities. It was also performed a small preliminary study in order to evaluate the platform's usability, where we were able to realize that perceived usability is different between users, and that, in some aspects, varies according to their location, age and years of experience. Based on the information gathered during the platform's analysis and in the conclusions of the preliminary study, a new platform was developed, prepared for all potential users, from the inexperienced to the most comfortable with technology. It presents major improvements in terms of usability, also providing several new features that simplify the users' work, improving their interaction with the system, making their experience more enjoyable.

Comparison of Methods and Co-Registration Maps of EEG and fMRI in Occipital Lobe Epilepsy

Clinically childhood occipital lobe epilepsy (OLE) manifests itself with distinct syndromes. The traditional EEG recordings have not been able to overcome the difficulty in correlating the ictal clinical symptoms to the onset in particular areas of the occipital lobes. To understand these syndromes it is important to map with more precision the epileptogenic cortical regions in OLE. Experimentally, we studied three idiopathic childhood OLE patients with EEG source analysis and with the simultaneous acquisition of EEG and fMRI, to map the BOLD effect associated with EEG spikes. The spatial overlap between the EEG and BOLD results was not very good, but the fMRI suggested localizations more consistent with the ictal clinical manifestations of each type of epileptic syndrome. Since our first results show that by associating the BOLD effect with interictal spikes the epileptogenic areas are mapped to localizations different from those calculated from EEG sources and that by using different EEG/fMRI processing methods our results differ to some extent, it is very important to compare the different methods of processing the localization of activation and develop a good methodology for obtaining co-registration maps of high resolution EEG with BOLD localizations.

Unsupervised classification of remote sensing images combining Self Organizing Maps and segmentation techniques

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Criação de clusters de clientes de um banco através do self-organizing maps hierárquico: comparação entre HSOM e SOM

Trabalho de Projeto apresentado como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

Análise do mercado financeiro baseada em análise técnica com self-organizing maps

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

State detection in a financial portfolio: a self-organizing maps approach for financial time series

This study analyses financial data using the result characterization of a self-organized neural network model. The goal was prototyping a tool that may help an economist or a market analyst to analyse stock market series. To reach this goal, the tool shows economic dependencies and statistics measures over stock market series. The neural network SOM (self-organizing maps) model was used to ex-tract behavioural patterns of the data analysed. Based on this model, it was de-veloped an application to analyse financial data. This application uses a portfo-lio of correlated markets or inverse-correlated markets as input. After the anal-ysis with SOM, the result is represented by micro clusters that are organized by its behaviour tendency. During the study appeared the need of a better analysis for SOM algo-rithm results. This problem was solved with a cluster solution technique, which groups the micro clusters from SOM U-Matrix analyses. The study showed that the correlation and inverse-correlation markets projects multiple clusters of data. These clusters represent multiple trend states that may be useful for technical professionals.

National suicide prevention strategy for Afghanistan (NSPS)

RESUMO: Do suicídio no Afeganistão é uma prioridade de saúde pública. O Afeganistão é um país de baixo rendimento, emergindo de três décadas de conflitos. Há uma alta prevalência de sofrimento psicológico, perturbações mentais e abuso de substâncias. Existem várias questões sociais, tais como, desequilíbrio/violência de género, pobreza, atitudes e costumes obsoletos, rápidas mudanças sócio-culturais, violação dos direitos humanos e especialmente dos direitos das mulheres e das crianças. Estes fatores de risco contribuem para o aumento da vulnerabilidade da população em relação ao suicídio. A relativa alta taxa de suicídio no Afeganistão é especialmente significativa comparada com as taxas baixas em todos os países islâmicos. Os estudos mostraram predominância de suicídio nas mulheres (95%) e em pessoas jovens. Existe, por isso, uma necessidade urgente do país ter uma estratégia de prevenção do suicídio. A estratégia foi desenvolvida pela criação de um grupo técnico/ de assessoria multi-sectorial de diferentes intervenientes tais como governo, ONGs, agências doadoras, as famílias das vítimas e outraas partes interessadas. A estratégia baseia-se os seguintes valores chave:, respeito pelas diversidades; sensibilidade para as questões sócio-cultura-religiosa e de género; promoção da dignidade da sociedade; respeito pelos direitos humanoss.. Os 'seis pontos estratégicos' são: envolvimento das principais partes interessadas e criação de colaboração intersectorial coordenada; fornecimento de cuidados às pessoas que fazem tentativas de suicídio e às suas famílias; melhoria dos serviços para pessoas com doença mental e problemas psicossociais; promover uma comunicação e imagem adequada dos comportamentos suicidas, pelos meios de comunicação; reduzir o acesso aos meios de suicídio e coligir informação sobre as taxas de suicídio, os fatores de risco, os fatores protetores e as intervenções eficazes. A estratégia nacional de prevenção do suicídio será inicialmente implementada por 5 anos, com uma avaliação anual do plano de acção para entender os seus pontos fortes e limitações. Recomendações e sugestões serão incorporadas nos próxima planos anuais para uma intervenção eficaz. Um sistema de monitorização irá medir o progresso na implementação da estratégia.-----------------------------ABSTRACT: Suicide in Afghanistan is a public health priority. Afghanistan is a low-income country, emerging from three decades of conflicts. There is high prevalence of mental distress, mental disorders and substance abuse. There are multiple social issues, such as gender imbalance/violence, poverty, obsolete attitudes and customs, rapid social-cultural changes, human right violations, and especially women and children rights. These risk factors contribute to increase the vulnerability of the population for suicide. The relative high rate of suicide in Afghanistan is especially significant as the rates are low in all Islamic countries. Research studies have shown predominance of suicide in women (95%) and in young age people. There is an urgent need for the country to have a suicide prevention strategy. The strategy has been developed by establishing a multi-sectoral technical/advisory group of different stakeholders from government, NGOs, donor agencies, victim’s families, and interested parties. The strategy is based on the following key values, namely, respect for diversities; sensitiveness to socio-culture-religious and gender issues; promotion of the society dignity and respect for the human rights of people. The six ‘Strategic directions’ are: involving key stakeholders and creating coordinated inter-sectoral collaboration; providing after care for people making a suicide attempt and their families; improving services for people with mental disorders and psycho-social problems; promoting the safe reporting and image of suicidal behaviour by media; reducing access to the means of suicide and gathering information about suicide rates, risk factor, protective factors and effective interventions. The National Suicide Prevention Strategy will be initially implemented for 5 years, with an annual evaluation of the action plan to understand the strengths and limitations. Recommendations and suggestions will be incorporated into the next annual plans for effective intervention. A monitoring framework will measure progress in implementing the strategy.

Where@UM - Dependable organic radio maps

In the past decade, the research community has been dedicating considerable effort into indoor positioning systems based on Wi-Fi fingerprinting techniques, mainly due to their capability to exploit existing infrastructures. Crowdsourcing approaches, also known as organic, have been proposed recently to address the problem of creating and maintaining the corresponding radio maps. In these organic systems, the users of the system build the radio map themselves while using it to estimate their own position/location. However, most of these collaborative methods, proposed by several authors, assume that all the users are honest and committed to contribute to a good quality radio map. In this paper we assess the quality of a radio map built collaboratively and propose a method to classify the credibility of individual contributions and the reputation of individual users. Experimental results are presented for an organic indoor location system that has been used by more than one hundred users over a period of around 12 months.

An algorithmic approach to estimating the minimal number of periodic points for smooth self-maps of simply-connected manifolds

For a given self-map f of M, a closed smooth connected and simply-connected manifold of dimension m ≥ 4, we provide an algorithm for estimating the values of the topological invariant Dm r [f], which equals the minimal number of r-periodic points in the smooth homotopy class of f. Our results are based on the combinatorial scheme for computing Dm r [f] introduced by G. Graff and J. Jezierski [J. Fixed Point Theory Appl. 13 (2013), 63–84]. An open-source implementation of the algorithm programmed in C++ is publicly available at http://www.pawelpilarczyk.com/combtop/.

The South pole; an account of the Norwegian Antarctic expedition in the "Fram," 1910-1912, by Roald Amundsen; tr. from the Norwegian by A.G. Chater. With maps and numerous illustrations.

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Catalogue of the books, manuscripts, maps and drawings in the British museum (Natural history) ....

v.3:L-O (1910)

Towards effective research-paper recommender systems and user modeling based on mind maps

Magdeburg, Univ., Fak. für Informatik, Diss., 2015