Robust Nonlinear Mapping of Soil Contamination Using Support Regression

Spatial data analysis mapping and visualization is of great importance in various fields: environment, pollution, natural hazards and risks, epidemiology, spatial econometrics, etc. A basic task of spatial mapping is to make predictions based on some empirical data (measurements). A number of state-of-the-art methods can be used for the task: deterministic interpolations, methods of geostatistics: the family of kriging estimators (Deutsch and Journel, 1997), machine learning algorithms such as artificial neural networks (ANN) of different architectures, hybrid ANN-geostatistics models (Kanevski and Maignan, 2004; Kanevski et al., 1996), etc. All the methods mentioned above can be used for solving the problem of spatial data mapping. Environmental empirical data are always contaminated/corrupted by noise, and often with noise of unknown nature. That's one of the reasons why deterministic models can be inconsistent, since they treat the measurements as values of some unknown function that should be interpolated. Kriging estimators treat the measurements as the realization of some spatial randomn process. To obtain the estimation with kriging one has to model the spatial structure of the data: spatial correlation function or (semi-)variogram. This task can be complicated if there is not sufficient number of measurements and variogram is sensitive to outliers and extremes. ANN is a powerful tool, but it also suffers from the number of reasons. of a special type ? multiplayer perceptrons ? are often used as a detrending tool in hybrid (ANN+geostatistics) models (Kanevski and Maignank, 2004). Therefore, development and adaptation of the method that would be nonlinear and robust to noise in measurements, would deal with the small empirical datasets and which has solid mathematical background is of great importance. The present paper deals with such model, based on Statistical Learning Theory (SLT) - Support Vector Regression. SLT is a general mathematical framework devoted to the problem of estimation of the dependencies from empirical data (Hastie et al, 2004; Vapnik, 1998). SLT models for classification - Support Vector Machines - have shown good results on different machine learning tasks. The results of SVM classification of spatial data are also promising (Kanevski et al, 2002). The properties of SVM for regression - Support Vector Regression (SVR) are less studied. First results of the application of SVR for spatial mapping of physical quantities were obtained by the authorsin for mapping of medium porosity (Kanevski et al, 1999), and for mapping of radioactively contaminated territories (Kanevski and Canu, 2000). The present paper is devoted to further understanding of the properties of SVR model for spatial data analysis and mapping. Detailed description of the SVR theory can be found in (Cristianini and Shawe-Taylor, 2000; Smola, 1996) and basic equations for the nonlinear modeling are given in section 2. Section 3 discusses the application of SVR for spatial data mapping on the real case study - soil pollution by Cs137 radionuclide. Section 4 discusses the properties of the modelapplied to noised data or data with outliers.

Microgrids and their operations

Interconnection of loads and small size generation forms a new type of distribution systems, the Microgrid. The microgrids can be operated together with the utility grid or be operated autonomously in an island. Thesesmall grids present a new paradigm of the construction of the low voltage distribution systems. The microgrids in the distribution systems can become small, controllable units, which immediately react to the system's changes. Along with that the microgrids can realize the special properties, such as increasing the reliability, reducing losses, voltage sag correction, uninterruptible supplying. The goals of the thesis are to explain the principles of the microgrid's functioning, to clarify the main ideas and positive features of the microgrids, to find out and prove their advantages and explain why they are so popular nowadays all over the world. The practical aims of the thesis are to construct and build a test setup of a microgrid based on two inverters from SMA Technologie AG in the laboratory and to test all the main modes and parameters of the microgrid's operating. Also the purpose of the thesis is to test the main component of the microgrid - the battery inverter which controls allthe processes and energy flows inside a microgrid and communicates with the main grid. Based on received data the main contribution of the thesis consists of the estimation of the established microgrid from the reliability, economy and simplicity of operating points of view and evaluation ofthe advisability of its use in different conditions. Moreover, the thesis assumes to give the recommendations and advice for the future investigations of the built system.

Decades of population genetic research reveal the need for harmonization of molecular markers: the grey wolf Canis lupus as a case study

Following protection measures implemented since the 1970s, large carnivores are currently increasing in number and returning to areas from which they were absent for decades or even centuries. Monitoring programmes for these species rely extensively on non-invasive sampling and genotyping. However, attempts to connect results of such studies at larger spatial or temporal scales often suffer from the incompatibility of genetic markers implemented by researchers in different laboratories. This is particularly critical for long-distance dispersers, revealing the need for harmonized monitoring schemes that would enable the understanding of gene flow and dispersal dynamics. Based on a review of genetic studies on grey wolves Canis lupus from Europe, we provide an overview of the genetic markers currently in use, and identify opportunities and hurdles for studies based on continent-scale datasets. Our results highlight an urgent need for harmonization of methods to enable transnational research based on data that have already been collected, and to allow these data to be linked to material collected in the future. We suggest timely standardization of newly developed genotyping approaches, and propose that action is directed towards the establishment of shared single nucleotide polymorphism panels, next-generation sequencing of microsatellites, a common reference sample collection and an online database for data exchange. Enhanced cooperation among genetic researchers dealing with large carnivores in consortia would facilitate streamlining of methods, their faster and wider adoption, and production of results at the large spatial scales that ultimately matter for the conservation of these charismatic species.

Escalating incidence of eosinophilic esophagitis in Canton of Vaud, Switzerland, 1993-2013: a population-based study.

BACKGROUND: Eosinophilic esophagitis (EoE) is a chronic, inflammatory disease of the esophagus with a rapidly increasing incidence. However, population-based epidemiologic data on EoE are rare and limited to regions with less than 200 000 inhabitants. We evaluated the incidence and prevalence of EoE over time in Canton of Vaud, Switzerland. MATERIALS AND METHODS: Canton of Vaud lies in the French-speaking, Western part of Switzerland. As of December 2013, it had a population of 743 317 inhabitants. We contacted all pathology institutes (n = 6) in this canton to identify patients that have been diagnosed with esophageal eosinophilia between 1993 and 2013. We then performed a chart review in all adult and pediatric gastroenterology practices to identify patients with EoE. RESULTS: Of 263 patients with esophageal eosinophilia, a total of 179 fulfilled the diagnostic criteria for EoE. Median diagnostic delay was 4 (IQR 1-9) years. No patient was diagnosed with EoE prior to 2003. Incidence of EoE increased from 0.16/100 000 inhabitants in 2004 to 6.3/100 000 inhabitants in 2013 (P < 0.001). The cumulative EoE prevalence in 2013 was 24.1/100 000. The incidence in males was 2.8 times higher (95% CI 2.01-3.88, P < 0.001) when compared to that in females. The annual EoE incidence was 10.6 times higher (95%-CI 7.61-14.87, P < 0.001) in the period from 2010 to 2013 when compared to that in the period from 1993 to 2009. CONCLUSIONS: The incidence and cumulative prevalence of EoE in Canton of Vaud, Switzerland, has rapidly increased in the past 10 years.

A conceptual model for grid learning services automatic composition

Peer-reviewed

Assessment of Coastal Bird Populations and Habitats on the Finnish Coast of the Baltic Sea: Implications for Monitoring and Management

Coastal birds are an integral part of coastal ecosystems, which nowadays are subject to severe environmental pressures. Effective measures for the management and conservation of seabirds and their habitats call for insight into their population processes and the factors affecting their distribution and abundance. Central to national and international management and conservation measures is the availability of accurate data and information on bird populations, as well as on environmental trends and on measures taken to solve environmental problems. In this thesis I address different aspects of the occurrence, abundance, population trends and breeding success of waterbirds breeding on the Finnish coast of the Baltic Sea, and discuss the implications of the results for seabird monitoring, management and conservation. In addition, I assess the position and prospects of coastal bird monitoring data, in the processing and dissemination of biodiversity data and information in accordance with the Convention on Biological Diversity (CBD) and other national and international commitments. I show that important factors for seabird habitat selection are island area and elevation, water depth, shore openness, and the composition of island cover habitats. Habitat preferences are species-specific, with certain similarities within species groups. The occurrence of the colonial Arctic Tern (Sterna paradisaea) is partly affected by different habitat characteristics than its abundance. Using long-term bird monitoring data, I show that eutrophication and winter severity have reduced the populations of several Finnish seabird species. A major demographic factor through which environmental changes influence bird populations is breeding success. Breeding success can function as a more rapid indicator of sublethal environmental impacts than population trends, particularly for long-lived and slowbreeding species, and should therefore be included in coastal bird monitoring schemes. Among my target species, local breeding success can be shown to affect the populations of the Mallard (Anas platyrhynchos), the Eider (Somateria mollissima) and the Goosander (Mergus merganser) after a time lag corresponding to their species-specific recruitment age. For some of the target species, the number of individuals in late summer can be used as an easier and more cost-effective indicator of breeding success than brood counts. My results highlight that the interpretation and application of habitat and population studies require solid background knowledge of the ecology of the target species. In addition, the special characteristics of coastal birds, their habitats, and coastal bird monitoring data have to be considered in the assessment of their distribution and population trends. According to the results, the relationships between the occurrence, abundance and population trends of coastal birds and environmental factors can be quantitatively assessed using multivariate modelling and model selection. Spatial data sets widely available in Finland can be utilised in the calculation of several variables that are relevant to the habitat selection of Finnish coastal species. Concerning some habitat characteristics field work is still required, due to a lack of remotely sensed data or the low resolution of readily available data in relation to the fine scale of the habitat patches in the archipelago. While long-term data sets exist for water quality and weather, the lack of data concerning for instance the food resources of birds hampers more detailed studies of environmental effects on bird populations. Intensive studies of coastal bird species in different archipelago areas should be encouraged. The provision and free delivery of high-quality coastal data concerning bird populations and their habitats would greatly increase the capability of ecological modelling, as well as the management and conservation of coastal environments and communities. International initiatives that promote open spatial data infrastructures and sharing are therefore highly regarded. To function effectively, international information networks, such as the biodiversity Clearing House Mechanism (CHM) under the CBD, need to be rooted at regional and local levels. Attention should also be paid to the processing of data for higher levels of the information hierarchy, so that data are synthesized and developed into high-quality knowledge applicable to management and conservation.

Educational Data Mining: cerrando el círculo del proceso de aprendizaje en entornos virtuales

Development of methods to explore data from educational settings, to understand better the learning process.

Liikkuvan kenttätyön hallinta etätunnistusta ja paikannusta hyödyntävällä mobiilijärjestelmällä

Liikkuvan kenttätyön työntekijät suorittavat työpäivän aikana työtä useassa eri työkohteessa. Työkohteilla suoritettujen työtehtävien kirjaus tapahtuu usein jälkikäteen ja muistinvaraisesti. Diplomityön tavoitteena on esittää ratkaisu liikkuvan kenttätyön työkirjausten automatisointiin. Tavoitteen mukaisen etätunnistusta ja paikannusta hyödyntävän mobiilijärjestelmän avulla työntekijöiden käsinkirjoitetut ja mahdollisesti puutteelliset työkirjaukset korvataan automaattisilla ja täsmällisillä kirjauksilla. Järjestelmän tavoitteena on vähentää työntekijöiden työkuormaa. Työssä arvioidaan etätunnistuksen hyödyntämistä mobiilisovelluksen käyttöä helpottavana tekniikkana. Parhaimmillaan etätunnistus poistaa kokonaan mobiililaitteen näppäilytarpeen, mutta aiheuttaa osaltaan lisää työtä järjestelmän ylläpitoon. Työn tuloksissa esitetään myös satelliittipaikannuksen todettu tarkkuus ja soveltuvuus liikkuvan kenttätyön tarpeisiin taajama- ja kaupunkialueella. Varsinkin kaupunkialueella satelliittiperustaisen paikkatiedon tehokas hyödyntäminen edellyttää suodatusta ja älykkyyttä paikkatiedon prosessointiin.

Tietojärjestelmät palvelutuotannon tukena

Tämän tutkimuksen tavoitteena oli selvittää Imatran kaupungin teknisen toimen nykyinen tietojärjestelmäarkkitehtuuri, sekä selvittää, kuinka hyvin käytettävät tietojärjestelmät tukevat teknisen toimen tuottamaa omakotirakentajan palveluprosessia. Työn teoriaosassa syvennyttiin palvelujen hallintaan, tietojärjestelmiin ja paikkatietojärjestelmiin. Työn empiirisessä osassa tutkittiin, kuinka toimiva käytössä oleva järjestelmäkokonaisuus on. Tutkimus osoitti, että käytössä olevat tietojärjestelmät ja ohjelmistot ovat tehokkaita ja tarkoituksenmukaisia. Teknologian kehittämisen lisäksi tulee kiinnittää huomiota työskentelytapojen kehittämiseen ja yhtenäistämiseen esimerkiksi sähköisen prosessin seurantalomakkeen, tietokantojen päivittämisen, sekä paperisten aineistojen digitoimisen avulla. Tietojärjestelmäarkkitehtuurin tulee olla yksinkertainen ja päällekkäisiä toimintoja kannattaa välttää. Paikkatietojärjestelmien muuttaminen selainpohjaisiksi tehostaa eri tietolähteiden hyödyntämistä. Henkilöstön riittävä tietojärjestelmäkoulutus on tärkeää.

Diffusion Tensor Imaging as a Diagnostic and Research Tool: A Study on Preterm Infants

Diffusion tensor imaging (DTI) is an advanced magnetic resonance imaging (MRI) technique. DTI is based on free thermal motion (diffusion) of water molecules. The properties of diffusion can be represented using parameters such as fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity, which are calculated from DTI data. These parameters can be used to study the microstructure in fibrous structure such as brain white matter. The aim of this study was to investigate the reproducibility of region-of-interest (ROI) analysis and determine associations between white matter integrity and antenatal and early postnatal growth at term age using DTI. Antenatal growth was studied using both the ROI and tract-based spatial statistics (TBSS) method and postnatal growth using only the TBSS method. The infants included to this study were born below 32 gestational weeks or birth weight less than 1,501 g and imaged with a 1.5 T MRI system at term age. Total number of 132 infants met the inclusion criteria between June 2004 and December 2006. Due to exclusion criteria, a total of 76 preterm infants (ROI) and 36 preterm infants (TBSS) were accepted to this study. The ROI analysis was quite reproducible at term age. Reproducibility varied between white matter structures and diffusion parameters. Normal antenatal growth was positively associated with white matter maturation at term age. The ROI analysis showed associations only in the corpus callosum. Whereas, TBSS revealed associations in several brain white matter areas. Infants with normal antenatal growth showed more mature white matter compared to small for gestational age infants. The gestational age at birth had no significant association with white matter maturation at term age. It was observed that good early postnatal growth associated negatively with white matter maturation at term age. Growth-restricted infants seemed to have delayed brain maturation that was not fully compensated at term, despite catchup growth.

Teachers' perspectives on the implementation of expectations-based curricula /

This qualitative study examines teachers' experiences implementing new standardized curricula in Ontario schools. This new curricula contained several policy changes and an expectations based format which directed what knowledge and skills students were to demonstrate in each subject. This level of specificity of subject-content served to control teachers in relation to curricula; however, data suggested that at the same time, teachers had enormous flexibility in terms of pedagogy. Four secondary teachers who were implementing a Grade 10 course in the 2000-2001 school year participated in the study. The qualitative framework supported the researcher's emphasis on examining the participants' perspectives on the implementation of expectation-based curricula. Data collected included transcripts from interviews conducted with teacher participants and a representative of the Ontario Ministry of Education and Training, field notes, and a research journal. Many of the factors often cited in the literature as influencing implementation practices were found to have affected the participants' experiences of curriculum implementation: time, professional development, and teachers' beliefs, particularly concerning students. In addition, the format of the policy documents proved to both control and free teachers during the implementation process. Participants believed that the number of specific expectations did not provide them an opportunity to add content to the curriculum; at the same time, teachers also noted that the general format of the policy document allowed them to direct instruction to match students' needs and their own teaching preferences. Alignment between teachers' beliefs about education and their understanding of the new curriculum affected the ways in which many participants adapted during the implementation process.

L’assainissement écologique des eaux usées domestiques : scénario d’aménagement type pour les résidences isolées de pays développés nordiques

L’aménagement des systèmes d’assainissement conventionnel des eaux usées domestiques entraine actuellement la déplétion de ressources naturelles et la pollution des milieux récepteurs. L’utilisation d’une approche écosystémique plus globale telle que l’Assainissement Écologique, visant la fermeture du cycle de l’eau et des éléments nutritifs (phosphore et azote), contenus dans les excréments, par leur réutilisation à travers l’agriculture, permettrait d’améliorer de façon écologique cette situation. Toutefois, ce paradigme émergent est peu enseigné aux professionnels de l’aménagement responsables de sa planification, surtout au niveau de son application dans les pays développés nordiques. C’est pourquoi, afin d’améliorer la planification de ce type de système, il faut informer ces derniers des pratiques les plus adéquates à adopter. Pour y arriver, un scénario d’aménagement type a été développé à partir d’une revue exhaustive de la littérature et de l’analyse des données en se basant sur les recommandations de l’approche en fonction du contexte étudié. Ce scénario aidera les professionnels à mieux comprendre l’Assainissement Écologique et son aménagement. Il représente alors un point de départ pour les discussions interdisciplinaires et participatives que celui-ci requiert. En conclusion, il y a encore de nombreux manques d’informations concernant l’utilisation de traitements alternatifs dans les climats nordiques et l’acceptation de ceux-ci par les usagers. De plus, les cadres législatifs demeurent un obstacle considérable à l’aménagement d’un tel système. Cette recherche permet cependant de démystifier l’approche auprès des professionnels et pourrait aider à modifier certains cadres législatifs afin d’y intégrer sa philosophie.

Development and evaluation of a research-based prosthodontic clinical record

Introduction: Bien que l'importance de transférer les données de la recherche à la pratique a été largement démontrée, ce processus est toujours lent et fait face à plusieurs défis tels que la conceptualisation des évidences, la validité interne et externe de la recherche scientifique et les coûts élevés de la collecte de grandes quantités de données axées sur le patient. Les dossiers dentaires des patients contiennent des renseignements valables qui donneraient aux chercheurs cliniques une opportunité d'utiliser un large éventail d'informations quantitatives ou qualitatives. La standardisation du dossier clinique permettrait d’échanger et de réutiliser des données dans différents domaines de recherche. Objectifs: Le but de cette étude était de concevoir un dossier patient axé sur la recherche dans le domaine de la prosthodontie amovible à la clinique de premier cycle de l’Université de Montréal. Méthodes: Cette étude a utilisé des méthodes de recherche-action avec 4 étapes séquentielles : l'identification des problèmes, la collecte et l'interprétation des données, la planification et l’évaluation de l'action. Les participants de l'étude (n=14) incluaient des professeurs, des chercheurs cliniques et des instructeurs cliniques dans le domaine de la prosthodontie amovible. La collecte des données a été menée à l’aide d’une revue de littérature ciblée et complète sur les résultats en prosthodontie ainsi que par le biais de discussions de groupes et d’entrevues. Les données qualitatives ont été analysées en utilisant QDA Miner 3.2.3. Résultats: Les participants de l'étude ont soulevé plusieurs points absents au formulaire actuel de prosthodontie à la clinique de premier cycle. Ils ont partagé leurs idées pour la conception d'un nouveau dossier-patient basé sur 3 objectifs principaux: les objectifs cliniques, éducatifs et de recherche. Les principaux sujets d’intérêt en prosthodontie amovibles, les instruments appropriés ainsi que les paramètres cliniques ont été sélectionnés par le groupe de recherche. Ces résultats ont été intégrés dans un nouveau formulaire basé sur cette consultation. La pertinence du nouveau formulaire a été évaluée par le même groupe d'experts et les modifications requises ont été effectuées. Les participants de l'étude ont convenu que le cycle de recherche-action doit être poursuivi afin d'évaluer la faisabilité d’implémentation de ce dossier modifié dans un cadre universitaire. Conclusion: Cette étude est une première étape pour développer une base de données dans le domaine de la prothodontie amovible. La recherche-action est une méthode de recherche utile dans ce processus, et les éducateurs académiques sont bien placés pour mener ce type de recherche.

An Integrated Hydro geological Study of the Muvattupuzha River Basin, Kerala, India

The present investigation on the Muvattupuzha river basin is an integrated approach based on hydrogeological, geophysical, hydrogeochemical parameters and the results are interpreted using satellite data. GIS also been used to combine the various spatial and non-spatial data. The salient finding of the present study are accounted below to provide a holistic picture on the groundwaters of the Muvattupuzha river basin. In the Muvattupuzha river basin the groundwaters are drawn from the weathered and fractured zones. The groundwater level fluctuations of the basin from 1992 to 2001 reveal that the water level varies between a minimum of 0.003 m and a maximum of 3.45 m. The groundwater fluctuation is affected by rainfall. Various aquifer parameters like transmissivity, storage coefficient, optimum yield, time for full recovery and specific capacity indices are analyzed. The depth to the bedrock of the basin varies widely from 1.5 to 17 mbgl. A ground water prospective map of phreatic aquifer has been prepared based on thickness of the weathered zone and low resistivity values (<500 ohm-m) and accordingly the basin is classified in three phreatic potential zones as good, moderate and poor. The groundwater of the Muvattupuzha river basin, the pH value ranges from 5.5 to 8.1, in acidic nature. Hydrochemical facies diagram reveals that most of the samples in both the seasons fall in mixing and dissolution facies and a few in static and dynamic natures. Further study is needed on impact of dykes on the occurrence and movement of groundwater, impact of seapages from irrigation canals on the groundwater quality and resources of this basin, and influence of inter-basin transfer of surface water on groundwater.

SPATIAL CLUSTERING ALGORITHMS-AN OVERVIEW.

An Overview of known spatial clustering algorithms The space of interest can be the two-dimensional abstraction of the surface of the earth or a man-made space like the layout of a VLSI design, a volume containing a model of the human brain, or another 3d-space representing the arrangement of chains of protein molecules. The data consists of geometric information and can be either discrete or continuous. The explicit location and extension of spatial objects define implicit relations of spatial neighborhood (such as topological, distance and direction relations) which are used by spatial data mining algorithms. Therefore, spatial data mining algorithms are required for spatial characterization and spatial trend analysis. Spatial data mining or knowledge discovery in spatial databases differs from regular data mining in analogous with the differences between non-spatial data and spatial data. The attributes of a spatial object stored in a database may be affected by the attributes of the spatial neighbors of that object. In addition, spatial location, and implicit information about the location of an object, may be exactly the information that can be extracted through spatial data mining