About: Tallinn University is a education organization based out in Tallinn, Estonia. It is known for research contribution in the topics: Estonian & Population. The organization has 1138 authors who have published 2575 publications receiving 33548 citations. The organization is also known as: TU & Tallinna Ülikool.
Papers published on a yearly basis
TL;DR: The extent of the trait data compiled in TRY is evaluated and emerging patterns of data coverage and representativeness are analyzed to conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements.
Abstract: Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
Karolinska Institutet1, Heidelberg University2, University of Molise3, Columbia University4, Tel Aviv University5, University of Oviedo6, Iuliu Hațieganu University of Medicine and Pharmacy7, French Institute of Health and Medical Research8, Nancy-Université9, University of Primorska10, Tallinn University11
TL;DR: Across a range of countries in Europe, using the Young Diagnostic Questionnaire for Internet Addiction yields a prevalence of 'pathological internet use' of 4.4% among adolescents, but varies by country and gender; adolescents lacking emotional and psychological support are at highest risk.
Abstract: Aims To investigate the prevalence of pathological internet use (PIU) and maladaptive internet use (MIU) among adolescents in 11 European countries in relation to demographic, social factors and internet accessibility. Design Cross-sectional survey. Setting The 7th Framework European Union (EU) funded project, Saving and Empowering Young Lives in Europe (SEYLE), is a randomized controlled trial (RCT) evaluating interventions for risk behavioursamongadolescentsinAustria,Estonia,France,Germany,Hungary,Ireland,Israel,Italy,Romania,Slovenia andSpain,withSwedenservingasthecoordinatingcentre.Participants Atotalof 11 956adolescents(female/male: 6731/5225; mean age: 14.9 0.89) recruited from randomly selected schools within the 11 study sites. Measurements Internet users were classified by gender into three categories: adaptive, maladaptive and pathologi- cal, based on their score in the Young Diagnostic Questionnaire for Internet Addiction (YDQ). Findings The overall prevalence of PIU was 4.4%; it was higher among males than females (5.2% versus 3.8%) and differed between countries (c 2 = 309.98; d.f. = 20; P < 0.001). PIU correlated significantly with mean hours online and male gender. Thehighest-rankedonlineactivitieswerewatchingvideos,frequentingchatroomsandsocialnetworking;significantly higherratesof playingsingle-usergameswerefoundinmalesandsocialnetworkinginfemales.Livinginmetropolitan areas was associated with PIU. Students not living with a biological parent, low parental involvement and parental unemployment showed the highest relative risks of both MIU and PIU. Conclusions Across a range of countries in Europe, using the Young Diagnostic Questionnaire for Internet Addiction yields a prevalence of 'pathological internet use' of 4.4% among adolescents, but varies by country and gender; adolescents lacking emotional and psychological support are at highest risk.
University of Oregon1, University of Bristol2, Macquarie University3, University of Wyoming4, University of the Algarve5, École Polytechnique Fédérale de Lausanne6, University of Ottawa7, University of Minnesota8, Centre national de la recherche scientifique9, University of Helsinki10, Tallinn University11, United States Geological Survey12, University of Wisconsin-Madison13, Chinese Academy of Sciences14
TL;DR: In this article, the mid-Holocene (MH, around 6 ka) and the Last Glacial Maximum (LGM, around 21 ka) were compared with palaeoclimate simulations currently being carried out as part of the fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change.
Abstract: Subfossil pollen and plant macrofossil data derived from 14 C-dated sediment profiles can provide quantitative information on glacial and interglacial cli- mates. The data allow climate variables related to growing- season warmth, winter cold, and plant-available moisture to be reconstructed. Continental-scale reconstructions have been made for the mid-Holocene (MH, around 6 ka) and Last Glacial Maximum (LGM, around 21 ka), allowing comparison with palaeoclimate simulations currently being carried out as part of the fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change. The synthesis of the available MH and LGM climate recon- structions and their uncertainties, obtained using modern- analogue, regression and model-inversion techniques, is presented for four temperature variables and two moisture variables. Reconstructions of the same variables based on
Umeå University1, Tilburg University2, University of Queensland3, North-West University4, National Research University – Higher School of Economics5, Victoria University of Wellington6, University of Lyon7, Stanford University8, Peking University9, Southwest University10, University of Zagreb11, Academy of Sciences of the Czech Republic12, Tallinn University13, University of Provence14, Heidelberg University15, Panteion University16, Tel-Hai Academic College17, Kyorin University18, Gunma University19, Hosei University20, Vilnius University21, Klaipėda University22, Universidad de Sonora23, The Catholic University of America24, University of Coimbra25, University of the Algarve26, Moscow State University27, University of Education, Winneba28, Tver State University29, Saratov State University30, Saint Petersburg State University31, Russian Academy32, Complutense University of Madrid33, University of East London34, Google35
TL;DR: In this paper, the structural equivalence of the Zimbardo Time Perspective Inventory (ZTPI) across 26 samples from 24 countries (N = 12,200) was assessed.
Abstract: In this article, we assess the structural equivalence of the Zimbardo Time Perspective Inventory (ZTPI) across 26 samples from 24 countries (N = 12,200). The ZTPI is proven to be a valid and reliable index of individual differences in time perspective across five temporal categories: Past Negative, Past Positive, Present Fatalistic, Present Hedonistic, and Future. We obtained evidence for invariance of 36 items (out of 56) and also the five-factor structure of ZTPI across 23 countries. The short ZTPI scales are reliable for country-level analysis, whereas we recommend the use of the full scales for individual-level analysis. The short version of ZTPI will further promote integration of research in the time perspective domain in relation to many different psycho-social processes.
TL;DR: During the past six decades Japan, Hungary, and Lithuania have topped the list of world countries by suicide rate, but if the current trends continue South Korea will overtake all others in a few years.
Abstract: Introduction: Over the past 20 years the WHO has considerably improved world mortality data. There are still shortcomings but more countries now report data and world-wide estimates are regularly made. Methods: Data about mortality have been retrieved from the WHO world database. Worldwide injury mortality estimates for 2008 as well as trends of the suicide rate from 1950 to 2009 were analysed. Results: Suicides in the world amount to 782 thousand in 2008 according to the WHO estimate, which is 1.4% of total mortality and 15% of injury mortality. The suicide rate for the world as a whole is estimated at 11.6 per 100,000 inhabitants. The male-female rate ratio of suicide is estimated to be highest in the European Region (4.0) and the lowest in the Eastern Mediterranean region (1.1). Among males the highest suicide rate in the 15-29 age group is in the SE Asian region, in the 45-59 age group in European males and for ages above 60 in the Western Pacific region. Females from SE Asia have a remarkably high suicide rate among 15-29-year-olds and from age 45 in the Western Pacific region. The leading country is currently Lithuania, with a suicide rate of 34.1 per 100,000 inhabitants. Also among males the suicide rate is the highest in Lithuania at 61.2. Among females South Korea with 22.1 is at the top of world suicide rates. Conclusions: During the past six decades, according to the WHO Japan, Hungary, and Lithuania have topped the list of world countries by suicide rate, but if the current trends continue South Korea will overtake all others in a few years. The heart of the problem of suicide mortality has shifted from Western Europe to Eastern Europe and now seems to be shifting to Asia. China and India are the biggest contributors to the absolute number of suicides in the world.
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|David P. Lane||129||568||90787|
|Vijai Kumar Gupta||43||301||6901|
|Thomas E. Fehniger||31||112||2872|
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