Bevezető: utak és úton lévők

A kvalitatív módszerekkel nyert kutatási eredményeink értelmezése során a transznacionális tér, a transznacionális és az etnikai migráció elméleti és szemléleti kereteit egyaránt figyelembe vettük. Az általunk vizsgált migrációs folyamatok transznacionális térben zajlanak, és a transznacionális irodalomban leírt migráns élethelyzetek, gyakorlatok – különböző nemzetállamokban elhelyezkedő lokalitásokhoz való egyidejű, bár eltérő intenzitású kötődés, kapcsolatok – több példájával is találkoztunk. Ludger Pries nyomán a transznacionális migrációt és a transznacionális migráns alakját olyan ideáltípusnak tekintettük, amelyhez az egyes migráns utak és helyzetek csupán közelítenek, és empirikus eredményeink alapján azt mondhatjuk, hogy a valóban plurilokális, vagyis a két helyhez való egyidejű, intenzív és tartós kötődés s az ehhez kapcsolódó gyakorlatok csupán a migránsok kisebbségét, illetve a migrációs életpályák egy-egy szakaszát jellemzik. A vizsgált migrációs folyamatokban az etnicitás strukturális tényezőként és a migráns tapasztalatok értelmezési kereteként egyaránt perdöntő szerepet játszik. Az etnikai migráció szakirodalomban tárgyalt mindhárom magyarázó modellje – az anyaországba való hazatérés, a gazdasági okokból való, illetve a kisebbségi létben elszenvedett sérelmek által ösztönzött migráció – alkalmas a migrációt kiváltó és mozgató okok elemzésére, a migráns narratívák értelmezésére, azt azonban nem állíthatjuk, hogy bármelyikük kizárólagos érvényre tehet szert. Más kutatókhoz hasonlóan Rogers Brubaker meghatározását tartjuk a leginkább gyümölcsözőnek, aki az etnikai migráció tág értelmezését használva minden olyan vándorlási folyamatot etnikai migrációnak tekint, amelyben az etnicitás kulturális és szimbolikus tőkeként szabályozó szerepet játszik. This special issue of Tér és Társadalom presents some results of an international research project carried out by researchers from Switzerland, Hungary and Serbia between 2010 and 2012. The topic of the research was “Integrating (Trans-)national Migrants in Transition States” (TRANSMIG) and was financed by the Swiss National Science Foundation (SNSF). The research aimed to explore and interpret migration flows from the Vojvodina (Serbia) to Hungary and from ex-Yugoslav republics to the Vojvodina. In the first period of the last twenty years, wars which contributed to the disintegration of Yugoslavia and the formation of new national states have caused migration flows. After the change of the millennium, educational migration of Vojvodina Hungarian youth can be considered the most important migratory movement from the Vojvodina to Hungary. Labour (economic) migration also occurs, but this cannot be understood as a one-way movement, since in the Hungarian–Serbian border zone migrants from the Vojvodina who already resettled to Hungary commute to the Vojvodina. While interpreting the qualitative research data the theoretical frameworks and approaches of transnational space, transnationalism and ethnic migration were taken into consideration. The migration movement in question occurs in a transnational social space where migrants are in constant motion. By their movements and actions that space is continually recreated. With Ludger Pries we see a transnational migrant as an ideal type to whom individual migratory movements and positions only approximate. Based on our empirical results we can conclude that real pluri-local, intensive and long-lasting bonding to two places at the same time and the relating practices only characterise a minority of migrants and certain sections of migratory careers. In the migration processes studied, ethnicity as a term is needed as a “structural factor” and frame of interpretation to approach migrant experiences. All three explanatory models for ethnic migration – return migration, economic migration, migration motivated by grievances suffered in a minority situation – are suitable to analyse the reasons that initiated migration and kept it in motion. They are helpful in interpreting migrant narratives. However, none of the reasons can claim exclusive validity. Agreeing with other researchers, we find Roger Brubaker’s definition the most useful: Ethnic migration should be comprehended in a broad sense. In addition, every migration can be considered as “ethnically” motivated where ethnicity plays a dominant role as a cultural and symbolic capital.

Food Volume Computation for Self Dietary Assessment Applications

There is great demand for easily-accessible, user-friendly dietary self-management applications. Yet accurate, fully-automatic estimation of nutritional intake using computer vision methods remains an open research problem. One key element of this problem is the volume estimation, which can be computed from 3D models obtained using multi-view geometry. The paper presents a computational system for volume estimation based on the processing of two meal images. A 3D model of the served meal is reconstructed using the acquired images and the volume is computed from the shape. The algorithm was tested on food models (dummy foods) with known volume and on real served food. Volume accuracy was in the order of 90 %, while the total execution time was below 15 seconds per image pair. The proposed system combines simple and computational affordable methods for 3D reconstruction, remained stable throughout the experiments, operates in near real time, and places minimum constraints on users.

An Undisclosed Story of Roses: Church, State and Nation in Contemporary Georgia

I will attempt to problematize the typologies of nationalism when applied to the Georgian context, particularly in relationship to nationalism of President Mikheil Saakashvili. I will argue that the state-driven nationalism of post-Rose Revolution government was a hybrid form of ethno-cultural and civic which had elements of ethnic particularism towards the Orthodox Church. By reflecting on the growing assistance of Western institutions to Georgia, I will problematize the extent to which the rise of American and European involvement in the region reinforced the perceptions of the “self” and the “other” among the religious elites since the Rose Revolution. By presenting field research data (interviews) gathered in 23 eparchies and perishes with religious clerics in 7 regions of Georgia, I will argue that religious nationalism in Georgia strengthened not in response to but as an outcome of President Saakashvili’s policies towards the church, and partially as a reaction to the growing dissatisfaction with Western institutions working in Georgia and Western governments’ response to the Russo-Georgian War of 2008. By reflecting on empirical material, the paper attempts to problematize an understanding of religious nationalism as a social movement, an instance of cultural autonomy and a source of identity (Friedland 2001). In response, I suggest viewing religious nationalism in post-communist Georgia as medium of material and political interests

The impact of environmental enrichment on the outcome variability and scientific validity of laboratory animal studies.

It has been widely accepted for some time that species-appropriate environmental enrichment is important for the welfare of research animals, but its impact on research data initially received little attention. This has now changed, as the use of enrichment as one element of routine husbandry has expanded. In addition to its use in the care of larger research animals, such as nonhuman primates, it is now being used to improve the environments of small research animals, such as rodents, which are used in significantly greater numbers and in a wide variety of studies. Concern has been expressed that enrichment negatively affects both experimental validity and reproducibility. However, when a concise definition of enrichment is used, with a sound understanding of the biology and behaviour of the animal as well as the research constraints, it becomes clear that the welfare of research animals can be enhanced through environmental enrichment without compromising their purpose. Indeed, it is shown that the converse is true: the provision of suitable enrichment enhances the well-being of the animal, thereby refining the animal model and improving the research data. Thus, the argument is made that both the validity and reproducibility of the research are enhanced when proper consideration is given to the research animal's living environment and the animal's opportunities to express species-typical behaviours.

The International Surface Pressure Databank version 2

The International Surface Pressure Databank (ISPD) is the world's largest collection of global surface and sea-level pressure observations. It was developed by extracting observations from established international archives, through international cooperation with data recovery facilitated by the Atmospheric Circulation Reconstructions over the Earth (ACRE) initiative, and directly by contributing universities, organizations, and countries. The dataset period is currently 1768–2012 and consists of three data components: observations from land stations, marine observing systems, and tropical cyclone best track pressure reports. Version 2 of the ISPD (ISPDv2) was created to be observational input for the Twentieth Century Reanalysis Project (20CR) and contains the quality control and assimilation feedback metadata from the 20CR. Since then, it has been used for various general climate and weather studies, and an updated version 3 (ISPDv3) has been used in the ERA-20C reanalysis in connection with the European Reanalysis of Global Climate Observations project (ERA-CLIM). The focus of this paper is on the ISPDv2 and the inclusion of the 20CR feedback metadata. The Research Data Archive at the National Center for Atmospheric Research provides data collection and access for the ISPDv2, and will provide access to future versions.

The role of metabotropic glutamate receptor 5 in the pathogenesis of mood disorders and addiction: combining preclinical evidence with human Positron Emission Tomography (PET) studies.

In the present review, we deliver an overview of the involvement of metabotropic glutamate receptor 5 (mGluR5) activity and density in pathological anxiety, mood disorders and addiction. Specifically, we will describe mGluR5 studies in humans that employed Positron Emission Tomography (PET) and combined the findings with preclinical animal research. This combined view of different methodological approaches-from basic neurobiological approaches to human studies-might give a more comprehensive and clinically relevant view of mGluR5 function in mental health than the view on preclinical data alone. We will also review the current research data on mGluR5 along the Research Domain Criteria (RDoC). Firstly, we found evidence of abnormal glutamate activity related to the positive and negative valence systems, which would suggest that antagonistic mGluR5 intervention has prominent anti-addictive, anti-depressive and anxiolytic effects. Secondly, there is evidence that mGluR5 plays an important role in systems for social functioning and the response to social stress. Finally, mGluR5's important role in sleep homeostasis suggests that this glutamate receptor may play an important role in RDoC's arousal and modulatory systems domain. Glutamate was previously mostly investigated in non-human studies, however initial human clinical PET research now also supports the hypothesis that, by mediating brain excitability, neuroplasticity and social cognition, abnormal metabotropic glutamate activity might predispose individuals to a broad range of psychiatric problems.

Paleofires and models illuminate future fire scenarios

Advances in Interdisciplinary Paleofire Research: Data and Model Comparisons for the Past Millennium; Harvard Forest, Petersham, Massachusetts, 27 September to 2 October 2015

Compliance: E-Science Mandates and Policies

Data collected under federally funded research is subject to compliance rules and regulations. Policies affecting what you can and cannot do with your data, who is responsible, and what role your institution plays can vary with funding agencies and the type of data collected. This talk will address many of the compliance issues associated with research data, as well as funder mandates that you need to be aware of to ensure compliance.

April 25, 2012

Geneva Henry, Executive Director of the Center for Digital Scholarship, Rice University. Data rights and ownership of digital research data can impact how you use data, how others use data you've collected, and how rights are determined in collaborative research. Copyright rules governing data vary from one country to the next, making data ownership in international collaborations particularly murky. Licensing the use of data sets from the start is one way to address these issues early and provide a means for easily sharing datasets that can be cited and properly attributed. This talk with introduce issues associated with digital research data governance and how to protect your rights with data you work with.

INTEGRATIVE BIOMARKER IDENTIFICATION AND CLASSIFICATION USING HIGH THROUGHPUT ASSAYS

It is well accepted that tumorigenesis is a multi-step procedure involving aberrant functioning of genes regulating cell proliferation, differentiation, apoptosis, genome stability, angiogenesis and motility. To obtain a full understanding of tumorigenesis, it is necessary to collect information on all aspects of cell activity. Recent advances in high throughput technologies allow biologists to generate massive amounts of data, more than might have been imagined decades ago. These advances have made it possible to launch comprehensive projects such as (TCGA) and (ICGC) which systematically characterize the molecular fingerprints of cancer cells using gene expression, methylation, copy number, microRNA and SNP microarrays as well as next generation sequencing assays interrogating somatic mutation, insertion, deletion, translocation and structural rearrangements. Given the massive amount of data, a major challenge is to integrate information from multiple sources and formulate testable hypotheses. This thesis focuses on developing methodologies for integrative analyses of genomic assays profiled on the same set of samples. We have developed several novel methods for integrative biomarker identification and cancer classification. We introduce a regression-based approach to identify biomarkers predictive to therapy response or survival by integrating multiple assays including gene expression, methylation and copy number data through penalized regression. To identify key cancer-specific genes accounting for multiple mechanisms of regulation, we have developed the integIRTy software that provides robust and reliable inferences about gene alteration by automatically adjusting for sample heterogeneity as well as technical artifacts using Item Response Theory. To cope with the increasing need for accurate cancer diagnosis and individualized therapy, we have developed a robust and powerful algorithm called SIBER to systematically identify bimodally expressed genes using next generation RNAseq data. We have shown that prediction models built from these bimodal genes have the same accuracy as models built from all genes. Further, prediction models with dichotomized gene expression measurements based on their bimodal shapes still perform well. The effectiveness of outcome prediction using discretized signals paves the road for more accurate and interpretable cancer classification by integrating signals from multiple sources.

Deep drilling of glaciers: Russian projects in the Arctic (1975-1995)

The data collection "Deep Drilling of Glaciers: Soviet-Russian projects in Arctic, 1975-1995" was collected by the following basic considerations: - compilation of deep (>100 m) drilling projects on Arctic glaciers, using data of (a) publications; (b) archives of IGRAN; (c) personal communication of project participants; - documentation of parameters, references. Accuracy of data and techniques applied to determine different parameters are not evaluated. The accuracy of some geochemical parameters (up to 1984 and heavy metalls) is uncertain. Most reconstructions of ice core age and of annual layer thickness are discussed; - digitizing of published diagrams (in case, when original numerical data were lost) and subsequent data conversion to equal range series and adjustment to the common units. Therefore, the equal-range series were calculated from original data or converted from digitized chart values as indicated in the metadata. For the methodological purpose, the equal-range series obtained from original and reconstructed data were compared repeatedly; the systematic difference was less then 5-7%. Special attention should be given to the fact, that the data for individual ice core parameters varies, because some parameters were originally measured or registered. Parameters were converted in equal-range series using 2 m steps; - two or more parameter values were determined, then the mean-weighted (i.e. accounting the sample length) value is assigned to the entire interval; - one parameter value was determined, measured or registered independently from the parameter values in depth intervals which over- and underlie it, then the value is assigned to the entire interval; - one parameter value was determined, measured or registered for two adjoining depth intervals, then the specific value is assigned to the depth interval, which represents >75% of sample length ; if each of adjoining depth intervals represents <75% of sample length, then the correspondent parameter value is assigned to both intervals of depth. This collection of ice core data (version 2000) was made available through the EU funded QUEEN project by S.M. Arkhipov, Moscow.

30 years of synoptic observations from Neumayer Station with links to datasets

The analysis of research data plays a key role in data-driven areas of science. Varieties of mixed research data sets exist and scientists aim to derive or validate hypotheses to find undiscovered knowledge. Many analysis techniques identify relations of an entire dataset only. This may level the characteristic behavior of different subgroups in the data. Like automatic subspace clustering, we aim at identifying interesting subgroups and attribute sets. We present a visual-interactive system that supports scientists to explore interesting relations between aggregated bins of multivariate attributes in mixed data sets. The abstraction of data to bins enables the application of statistical dependency tests as the measure of interestingness. An overview matrix view shows all attributes, ranked with respect to the interestingness of bins. Complementary, a node-link view reveals multivariate bin relations by positioning dependent bins close to each other. The system supports information drill-down based on both expert knowledge and algorithmic support. Finally, visual-interactive subset clustering assigns multivariate bin relations to groups. A list-based cluster result representation enables the scientist to communicate multivariate findings at a glance. We demonstrate the applicability of the system with two case studies from the earth observation domain and the prostate cancer research domain. In both cases, the system enabled us to identify the most interesting multivariate bin relations, to validate already published results, and, moreover, to discover unexpected relations.

Reference list of 269 sources used for exploratory search

Today's digital libraries (DLs) archive vast amounts of information in the form of text, videos, images, data measurements, etc. User access to DL content can rely on similarity between metadata elements, or similarity between the data itself (content-based similarity). We consider the problem of exploratory search in large DLs of time-oriented data. We propose a novel approach for overview-first exploration of data collections based on user-selected metadata properties. In a 2D layout representing entities of the selected property are laid out based on their similarity with respect to the underlying data content. The display is enhanced by compact summarizations of underlying data elements, and forms the basis for exploratory navigation of users in the data space. The approach is proposed as an interface for visual exploration, leading the user to discover interesting relationships between data items relying on content-based similarity between data items and their respective metadata labels. We apply the method on real data sets from the earth observation community, showing its applicability and usefulness.