Compositional data-driven alternatives to single geochemical component maps

Conventional practice in Regional Geochemistry includes as a final step of any geochemical campaign the generation of a series of maps, to show the spatial distribution of each of the components considered. Such maps, though necessary, do not comply with the compositional, relative nature of the data, which unfortunately make any conclusion based on them sensitive
to spurious correlation problems. This is one of the reasons why these maps are never interpreted isolated. This contribution aims at gathering a series of statistical methods to produce individual maps of multiplicative combinations of components (logcontrasts), much in the flavor of equilibrium constants, which are designed on purpose to capture certain aspects of the data.
We distinguish between supervised and unsupervised methods, where the first require an external, non-compositional variable (besides the compositional geochemical information) available in an analogous training set. This external variable can be a quantity (soil density, collocated magnetics, collocated ratio of Th/U spectral gamma counts, proportion of clay particle fraction, etc) or a category (rock type, land use type, etc). In the supervised methods, a regression-like model between the external variable and the geochemical composition is derived in the training set, and then this model is mapped on the whole region. This case is illustrated with the Tellus dataset, covering Northern Ireland at a density of 1 soil sample per 2 square km, where we map the presence of blanket peat and the underlying geology. The unsupervised methods considered include principal components and principal balances
(Pawlowsky-Glahn et al., CoDaWork2013), i.e. logcontrasts of the data that are devised to capture very large variability or else be quasi-constant. Using the Tellus dataset again, it is found that geological features are highlighted by the quasi-constant ratios Hf/Nb and their ratio against SiO2; Rb/K2O and Zr/Na2O and the balance between these two groups of two variables; the balance of Al2O3 and TiO2 vs. MgO; or the balance of Cr, Ni and Co vs. V and Fe2O3. The largest variability appears to be related to the presence/absence of peat.

Holding the Door Half (?) Open: the EU and Turkey 10 years on

A decade of accession negotiations with the EU has not brought Turkey significantly closer to EU membership. In part the reasons lie with Turkey. This article, however, explores the position of the EU and the ‘supply-side’ of enlargement. It reflects on developments in how the EU has engaged with Turkey on the question of membership, situating Turkey’s candidacy and the EU’s position within the broader comparative context of how the process and politics of EU enlargement have evolved over the last ten years. It focuses on a set of supply-side variables that are key to determining the progress that applicants can make towards membership: member state preferences, the activism of supranational institutional actors, the EU’s integration capacity, public opinion in the EU towards enlargement, and the narratives deployed in justification of enlargement. The article also considers the state of Turkey’s accession negotiations and how they have been and potentially will be affected, assuming they are meaningfully revived, by the evolving nature and substance of EU accession negotiations more generally and EU’s approach to conditionality.

Bursaphelenchus Fuchs, 1937 (Nematoda: Parasitaphelenchidae) species associated with Pinus species in northern Turkey

A survey for Bursaphelenchus nematodes, associated with different conifer trees, was conducted in several forest areas in the northern regions of Turkey. Only pine trees (Pinus nigra, P. pinaster and P. sylvestris) yielded Bursaphelenchus specimens. Nematodes were identified using several morphological diagnostic characters of the genus (male spicule structure, number of lateral incisures, number and distribution of the male papillae, presence of female vulval flap), and confirmed by using RFLP analysis of the internal transcriber spacer (ITS) regions of ribosomal DNA. Three different species were identified from several sampled areas, namely B. mucronatus, B. pinophilus and B. sexdentati, representing a first report of the last two species for Turkey. The association of B. pinophilus with black pine (P. nigra) is herein reported for the first time.

Pine Wilt Disease: A Threat to Pine Forests in Turkey?

The pinewood nematode, is the causal agent of pine wilt disease, a serious threat to native pine forest in eastern Asia (Japan, Korea, China and Taiwan) and some parts of North America (USA, Canada and Mexico). In 1999, this nematode was found and identified for the first time in Portugal and in Europe. The detection of this quarantine pest in Portugal has indicated the need to know more about the distribution of Bursaphelenchus spp. in coniferous trees in Europe in order to describe the geographic range of the species and to act quickly in case of the nematode’s unwanted introduction into other European regions. Pine forest has a wide distribution in Turkey that increases the number of susceptible host trees for pinewood nematode. Because of these resaons, some regions of Turkey were surveyed for the presence of the nematode. Three different species of Bursaphelenchus were found. However, B. xylophilus was not detected. The detection of B. mucronatus, very similar to B. xylophilus biologically and morphologically, is very important. The presence of this species indicates that B. xylophilus could spread easly in conifer forests of Turkey. A study was conducted to determine the pathogenicity of B. mucronatus and 80% of seedlings of P. sylvestris were wilted. Biological characteristics of M. galloprovincialis were compared with M. carolinensis, Nort American vector, and some of them were found to be similar.

Regional Knowledge Maps - Potential and Challenges

Regional knowledge map is a tool recently demanded by some actors in an institutional level to help regional policy and innovation in a territory. Besides, knowledge maps facilitate the interaction between the actors of a territory and the collective learning. This paper reports the work in progress of a research project which objective is to define a methodology to efficiently design territorial knowledge maps, by extracting information of big volumes of data contained in diverse sources of information related to a region. Knowledge maps facilitate management of the intellectual capital in organisations. This paper investigates the value to apply this tool to a territorial region to manage the structures, infrastructures and the resources to enable regional innovation and regional development. Their design involves the identification of information sources that are required to find which knowledge is located in a territory, which actors are involved in innovation, and which is the context to develop this innovation (structures, infrastructures, resources and social capital). This paper summarizes the theoretical background and framework for the design of a methodology for the construction of knowledge maps, and gives an overview of the main challenges for the design of regional knowledge maps.

Challenges and Potentials for Keyword Extraction from Company Websites for the Development of Regional Knowledge Maps

Regional Innovation Systems describe the relations between actors, structures and infrastructures in a region in order to stimulate innovation and regional development. For these systems the collection and organization of information is crucial. In the present paper we investigate the possibilities to extract information from websites of companies. First we describe regional innovation systems and the information types that are necessary to create them. Then we discuss the possibilities of text mining and keyword extraction techniques to extract this information from company websites. Finally, we describe a small scale experiment in which keywords related to economic sectors and commodities are extracted from the websites of over 200 companies. This experiment shows what the main challenges are for information extraction from websites for regional innovation systems.

A framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps

There is still a lack of effective paradigms and tools for analysing and discovering the contents and relationships of project knowledge contexts in the field of project management. In this paper, a new framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps under big data environments is proposed and developed. The conceptual paradigm, theoretical underpinning, extended topic model, and illustration examples of the ontology model for project knowledge maps are presented, with further research work envisaged.

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.

A Constructivist perspective on EU'S democracy promotion in Turkey

The European Union, as a regional actor and an example of stability and well-being, has embraced a set of principles it has stood for and which constitute its own identity. The diffusion of these values among third countries is one of the objectives of EU’s External Policy. Democracy can be found among the principles that are sought to be exported through comprehensive and complex strategies within different frameworks, such as neighbourhood relations, trade partnerships and the accession process. Focusing on the latter, candidates are object of an intensive process of Europeanisation that operates through different mechanisms like socialisation and conditionality. Turkey, on the other side, has decided to apply for full membership several decades ago and, ever since, it has been pressured to Europeanise, which includes improving its unstable democracy. This case, however, is different from all other previous enlargements; for its special socio-cultural and civilisational features, Turkey constitutes a more complex novelty for the European Union. Therefore, this thesis aims to study the influence of the European Union on the democratisation process of Turkey, focusing on the period ranging between 1999, the year the European Council recognised Turkey’s candidacy status, and 2009 that marks the 10-year period of that condition. It is the intention of this project to assess the impact of the European Union at that level through the study of the democratic evolution of the country and its co-relation with other variables related to the presence or pressure of the EU. As this is a challenging objective, it will require a deep reflection upon central concepts like democracy and democratic consolidation, and a diversified use of methodological techniques, such as statistical analysis and mathematical co-relations, historical analysis, literature review and in-depth interviews. This study will privilege a Constructivist approach, emphasising the social construction of reality and the role of the ideational aspects – identity, perceptions and the broader socio-cultural dimension – in Turkey-EU relations.

Analyzing Geospatial patterns of syrian refugee flows in southeastern Turkey by use of remote sensing and complementary data

Crisis-affected communities and global organizations for international aid are becoming increasingly digital as consequence geotechnology popularity. Humanitarian sector changed in profound ways by adopting new technical approach to obtain information from area with difficult geographical or political access. Since 2011, turkey is hosting a growing number of Syrian refugees along southeastern region. Turkish policy of hosting them in camps and the difficulty created by governors to international aid group expeditions to get information, made such international organizations to investigate and adopt other approach in order to obtain information needed. They intensified its remote sensing approach. However, the majority of studies used very high-resolution satellite imagery (VHRSI). The study area is extensive and the temporal resolution of VHRSI is low, besides it is infeasible only using these sensors as unique approach for the whole area. The focus of this research, aims to investigate the potentialities of mid-resolution imagery (here only Landsat) to obtain information from region in crisis (here, southeastern Turkey) through a new web-based platform called Google Earth Engine (GEE). Hereby it is also intended to verify GEE currently reliability once the Application Programming Interface (API) is still in beta version. The finds here shows that the basic functions are trustworthy. Results pointed out that Landsat can recognize change in the spectral resolution clearly only for the first settlement. The ongoing modifications vary for each case. Overall, Landsat demonstrated high limitations, but need more investigations and may be used, with restriction, as a support of VHRSI.