Institution
Tallinn University of Technology
Education•Tallinn, Estonia•
About: Tallinn University of Technology is a education organization based out in Tallinn, Estonia. It is known for research contribution in the topics: European union & Computer science. The organization has 3688 authors who have published 10313 publications receiving 145058 citations. The organization is also known as: Tallinn Technical University & Tallinna Tehnikaülikool.
Topics: European union, Computer science, Oil shale, Nonlinear system, Thin film
Papers published on a yearly basis
Papers
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TL;DR: It is shown that early-life fluoxetine exposure resulted in the long-term upregulation of BDNF expression in adult mice, however, chromatin immunoprecipitation studies did not reveal any changes in the acetylation or trimethylation of histone H3 at the BDNF promoters.
140 citations
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TL;DR: In this paper, the EN ISO 15927-4 was modified by using monthly dependent weighting factors for the main climatic parameters in the calculation of heating and cooling energy demand in buildings, which may be used for many applications, such as the energy performance of buildings, the simulation of active or passive solar energy systems, HVAC system performance or indoor climate analyses.
140 citations
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University of Tartu1, Leibniz University of Hanover2, Swedish University of Agricultural Sciences3, Martin Luther University of Halle-Wittenberg4, Helmholtz Centre for Environmental Research - UFZ5, University of Leeds6, Tallinn University of Technology7, Centre national de la recherche scientifique8, Estonian University of Life Sciences9, Trinity College, Dublin10, University of Bayreuth11
TL;DR: AM fungal communities in the native, invasive and experimentally introduced ranges varied in taxonomic composition and richness, but they shared a pool of geographically widespread, non-host-specific taxa that might support the invasion of a generalist alien plant.
Abstract: Aim The biogeography of arbuscular mycorrhizal (AM) fungi is poorly understood, and consequently the potential of AM fungi to determine plant distribution has been largely overlooked. We aimed to describe AM fungal communities associating with a single host-plant species across a wide geographical area, including the plant’s native, invasive and experimentally introduced ranges. We hypothesized that an alien AM plant associates primarily with the geographically widespread generalist AM fungal taxa present in a novel range.
Location Europe, China.
Methods We transplanted the palm Trachycarpus fortunei into nine European sites where it does not occur as a native species, into one site where it is naturalized (Switzerland), and into one glasshouse site. We harvested plant roots after two seasons. In addition, we sampled palms at three sites in the plant’s native range (China). Roots were subjected to DNA extraction, polymerase chain reaction (PCR) and 454 sequencing of AM fungal sequences. We analysed fungal communities with non-metric multidimensional scaling (NMDS) ordination and cluster analysis and studied the frequency of geographically widespread fungal taxa with log-linear analysis. We compared fungal communities in the roots of the palm with those in resident plants at one site in the introduced range (Estonia) where natural AM fungal communities had previously been studied.
Results We recorded a total of 73 AM fungal taxa. AM fungal communities in the native and introduced ranges differed from one another, while those in the invasive range contained taxa present in both other ranges. Geographically widespread AM fungal taxa were over-represented in palm roots in all regions, but especially in the introduced range. At the Estonian site, the palm was colonized by the same community of widespread AM fungal taxa as associate with resident habitat-generalist plants; by contrast, resident forest-specialist plants were colonized by a diverse community of widespread and other AM fungal taxa.
Main conclusions AM fungal communities in the native, invasive and experimentally introduced ranges varied in taxonomic composition and richness, but they shared a pool of geographically widespread, non-host-specific taxa that might support the invasion of a generalist alien plant. Our dataset provides the first geographical overview of AM taxon distributions obtained using a single host-plant species.
139 citations
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TL;DR: This review gives an overview of retroelement insertions in genes that cause significant changes in their transcription and cotranscriptional splicing and show a remarkable level of complexity.
139 citations
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TL;DR: In this paper, the authors present a method of estimating the effective inertia of a power system from ambient frequency and active power signals measured by phasor measurement units, based on applying system identification on these measurements and extracting inertia values from identified models.
Abstract: This study presents a method of estimating the effective inertia of a power system from ambient frequency and active power signals measured by phasor measurement units. Most importantly, we demonstrate that inertia can be estimated from ambient measurement data, not only from disturbances. This leads to the possibility of monitoring inertia in a close to continuous manner in the time scale of minutes or tens of minutes. The method allows the system to be divided into a number of areas and the effective inertia of each area to be estimated as a separate quantity. In principle, inertia is estimated by observing the dynamics between changes in active power and resulting frequency deviations during normal operation of the system. The method is based on applying system identification on these measurements and extracting inertia values from identified models. Efficacy of the method is demonstrated on results of real measurements from the Icelandic power system.
138 citations
Authors
Showing all 3757 results
Name | H-index | Papers | Citations |
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James Chapman | 82 | 483 | 36468 |
Alexandre Alexakis | 67 | 540 | 17247 |
Bernard Waeber | 56 | 370 | 35335 |
Peter A. Andrekson | 54 | 573 | 12042 |
Charles S. Peirce | 51 | 167 | 11998 |
Lars M. Blank | 49 | 301 | 8011 |
Fushuan Wen | 49 | 465 | 9189 |
Mati Karelson | 48 | 207 | 10210 |
Ago Samoson | 46 | 119 | 8807 |
Zebo Peng | 45 | 359 | 7312 |
Petru Eles | 44 | 300 | 6749 |
Vijai Kumar Gupta | 43 | 301 | 6901 |
Eero Vasar | 43 | 263 | 6930 |
Rik Ossenkoppele | 42 | 192 | 6839 |
Tõnis Timmusk | 41 | 105 | 11056 |