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  • 1
    Publication Date: 2014-11-06
    Description: The Exoplanet Euclid Legacy Survey (ExELS) proposes to determine the frequency of cold exoplanets down to Earth mass from host separations of ~1 au out to the free-floating regime by detecting microlensing events in Galactic bulge. We show that ExELS can also detect large numbers of hot, transiting exoplanets in the same population. The combined microlensing+transit survey would allow the first self-consistent estimate of the relative frequencies of hot and cold sub-stellar companions, reducing biases in comparing ‘near-field’ radial velocity and transiting exoplanets with ‘far-field’ microlensing exoplanets. The age of the bulge and its spread in metallicity further allows ExELS to better constrain both the variation of companion frequency with metallicity and statistically explore the strength of star–planet tides. We conservatively estimate that ExELS will detect ~4100 sub-stellar objects, with sensitivity typically reaching down to Neptune-mass planets. Of these, ~600 will be detectable in both Euclid's VIS (optical) channel and Near Infrared Spectrometer and Photometer (NISP)- H -band imager, with ~90 per cent of detections being hot Jupiters. Likely scenarios predict a range of 2900–7000 for VIS and 400–1600 for H band. Twice as many can be expected in VIS if the cadence can be increased to match the 20-min H -band cadence. The separation of planets from brown dwarfs via Doppler boosting or ellipsoidal variability will be possible in a handful of cases. Radial velocity confirmation should be possible in some cases, using 30 m-class telescopes. We expect secondary eclipses, and reflection and emission from planets to be detectable in up to ~100 systems in both VIS and NISP- H . Transits of ~500 planetary-radius companions will be characterized with two-colour photometry and ~40 with four-colour photometry (VIS, YJH ), and the albedo of (and emission from) a large sample of hot Jupiters in the H band can be explored statistically.
    Print ISSN: 0035-8711
    Electronic ISSN: 1365-2966
    Topics: Physics
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  • 2
    Publication Date: 2012-05-19
    Description: The annual hydrographs of British Columbian rivers are characterized by glacial, nival, pluvial or “hybrid” sources of runoff. Climate change scenarios for the 2050s indicate that snow-water-equivalent (SWE) could diminish by 50 to 80 % in low-elevation basins of the South Coastal region of British Columbia (B.C.). This could trigger a shift from a hybrid to a pluvial regime for many creeks originating in the coastal mountains and could negatively impact summer low-flows. However, the connection between recharge occurring in the headwaters during snowmelt and late-summer water yield remains unclear. A mountainous creek (Stephen's Creek) was monitored in a nested design from September 2008 to November 2009. A two-component isotopic hydrograph separation (2-IHS) method was developed by adapting the runoff-corrected model (runCE) to a semi-distributed environment to account for both the spatial and temporal variability of the isotopic release from the snowpack in the headwater catchment. Results show that snowmelt composed most of the streamflow both at the headwater site (66 ± 19 %) and at the mouth (62 ± 23 %) during the peak of the freshet, while its contribution to streamflow was significantly different in July (34 ± 11 % at the headwater vs. 7 ± 4 % at the mouth). Streamflow recession analysis suggests that a snowmelt-recharged headwater catchment can support a steadier summer baseflow than can a much larger, but rainfed-dominated, watershed. It is concluded here that the large input of meltwater during the spring was sufficient to “overturn” shallow subsurface reservoirs and recharge deeper flowpaths at a rate that cannot be matched by rainfed-dominated systems. Copyright © 2012 John Wiley & Sons, Ltd.
    Print ISSN: 0885-6087
    Electronic ISSN: 1099-1085
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by Wiley
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  • 3
    Publication Date: 2015-05-23
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zanne, Amy E -- Tank, David C -- Cornwell, William K -- Eastman, Jonathan M -- Smith, Stephen A -- FitzJohn, Richard G -- McGlinn, Daniel J -- O'Meara, Brian C -- Moles, Angela T -- Reich, Peter B -- Royer, Dana L -- Soltis, Douglas E -- Stevens, Peter F -- Westoby, Mark -- Wright, Ian J -- Aarssen, Lonnie -- Bertin, Robert I -- Calaminus, Andre -- Govaerts, Rafael -- Hemmings, Frank -- Leishman, Michelle R -- Oleksyn, Jacek -- Soltis, Pamela S -- Swenson, Nathan G -- Warman, Laura -- Beaulieu, Jeremy M -- England -- Nature. 2015 May 21;521(7552):E6-7. doi: 10.1038/nature14394.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Biological Sciences, George Washington University, Washington DC 20052, USA. [2] Center for Conservation and Sustainable Development, Missouri Botanical Garden, St Louis, Missouri 63121, USA. ; 1] Department of Biological Sciences, University of Idaho, Moscow, Idaho 83844, USA. [2] Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, Idaho 83844, USA. ; 1] Department of Ecological Sciences, Systems Ecology, de Boelelaan 1085, 1081 HV Amsterdam, The Netherlands. [2] Evolution &Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia. ; Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan 48109, USA. ; 1] Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia V6T1Z4, Canada. [2] Department of Biological Sciences, Macquarie University, Sydney, New South Wales 2109, Australia. ; Department of Biology, College of Charleston, Charleston, South Carolina 29424, USA. ; Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee 37996, USA. ; Evolution &Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia. ; 1] Department of Forest Resources, University of Minnesota, St Paul, Minnesota 55108, USA. [2] Hawkesbury Institute for the Environment, University of Western Sydney, Penrith, New South Wales 2751, Australia. ; Department of Earth and Environmental Sciences, Wesleyan University, Middletown, Connecticut 06459, USA. ; 1] Department of Biology, University of Florida, Gainesville, Florida 32611, USA. [2] Florida Museum of Natural History, University of Florida, Gainesville, Florida 32611, USA. [3] Genetics Institute, University of Florida, Gainesville, Florida 32611, USA. ; Department of Biology, University of Missouri-St Louis, St Louis, Missouri 63121, USA. ; Department of Biological Sciences, Macquarie University, Sydney, New South Wales 2109, Australia. ; Department of Biology, Queen's University, Kingston, Ontario K7L 3N6, Canada. ; Department of Biology, College of the Holy Cross, Worcester, Massachusetts 01610, USA. ; Department of Biology, University of Florida, Gainesville, Florida 32611, USA. ; Royal Botanic Gardens, Kew, Richmond TW9 3AB, UK. ; 1] Department of Forest Resources, University of Minnesota, St Paul, Minnesota 55108, USA. [2] Polish Academy of Sciences, Institute of Dendrology, 62-035 Kornik, Poland. ; 1] Florida Museum of Natural History, University of Florida, Gainesville, Florida 32611, USA. [2] Genetics Institute, University of Florida, Gainesville, Florida 32611, USA. ; Department of Plant Biology and Ecology, Evolutionary Biology and Behavior, Program, Michigan State University, East Lansing, Michigan 48824, USA. ; 1] Evolution &Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia. [2] Institute of Pacific Islands Forestry, USDA Forest Service, Hilo, Hawaii 96720, USA. ; National Institute for Mathematical &Biological Synthesis, University of Tennessee, Knoxville, Tennessee 37996, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25993971" target="_blank"〉PubMed〈/a〉
    Keywords: Angiosperms/*anatomy & histology/*physiology ; *Biological Evolution ; *Cold Climate ; *Ecosystem ; *Freezing ; Xylem/*anatomy & histology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2004-07-13
    Description: Dysregulation of brain serotonin contributes to many psychiatric disorders. Tryptophan hydroxylase-2 (Tph2), rather than Tph1, is preferentially expressed in the brain. We report a functional (C1473G) single-nucleotide polymorphism in mouse Tph2 that results in the substitution of Pro447 with Arg447 and leads to decreased serotonin levels in PC12 cells. Moreover, in BALB/cJ and DBA/2 mice that are homozygous for the 1473G allele, brain serotonin tissue content and synthesis are reduced in comparison to C57Bl/6 and 129X1/SvJ mice that are homozygous for the 1473C allele. Our data provide direct evidence for a fundamental role of Tph2 in brain serotonin synthesis.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zhang, Xiaodong -- Beaulieu, Jean-Martin -- Sotnikova, Tatyana D -- Gainetdinov, Raul R -- Caron, Marc G -- MH60451/MH/NIMH NIH HHS/ -- New York, N.Y. -- Science. 2004 Jul 9;305(5681):217.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute Laboratory, Department of Cell Biology, and Center for Models of Human Disease, Institute for Genome Sciences and Policy, Box 3287, Duke University Medical Center, Durham, NC 27710, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15247473" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Amino Acid Sequence ; Animals ; Brain/*metabolism ; Brain Stem/metabolism ; Corpus Striatum/metabolism ; Frontal Lobe/metabolism ; Humans ; Mice ; Mice, Inbred Strains ; Molecular Sequence Data ; PC12 Cells ; Polymorphism, Single Nucleotide ; Rats ; Reverse Transcriptase Polymerase Chain Reaction ; Serotonin/*biosynthesis ; Transfection ; Tryptophan Hydroxylase/chemistry/genetics/*metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2013-12-24
    Description: Early flowering plants are thought to have been woody species restricted to warm habitats. This lineage has since radiated into almost every climate, with manifold growth forms. As angiosperms spread and climate changed, they evolved mechanisms to cope with episodic freezing. To explore the evolution of traits underpinning the ability to persist in freezing conditions, we assembled a large species-level database of growth habit (woody or herbaceous; 49,064 species), as well as leaf phenology (evergreen or deciduous), diameter of hydraulic conduits (that is, xylem vessels and tracheids) and climate occupancies (exposure to freezing). To model the evolution of species' traits and climate occupancies, we combined these data with an unparalleled dated molecular phylogeny (32,223 species) for land plants. Here we show that woody clades successfully moved into freezing-prone environments by either possessing transport networks of small safe conduits and/or shutting down hydraulic function by dropping leaves during freezing. Herbaceous species largely avoided freezing periods by senescing cheaply constructed aboveground tissue. Growth habit has long been considered labile, but we find that growth habit was less labile than climate occupancy. Additionally, freezing environments were largely filled by lineages that had already become herbs or, when remaining woody, already had small conduits (that is, the trait evolved before the climate occupancy). By contrast, most deciduous woody lineages had an evolutionary shift to seasonally shedding their leaves only after exposure to freezing (that is, the climate occupancy evolved before the trait). For angiosperms to inhabit novel cold environments they had to gain new structural and functional trait solutions; our results suggest that many of these solutions were probably acquired before their foray into the cold.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zanne, Amy E -- Tank, David C -- Cornwell, William K -- Eastman, Jonathan M -- Smith, Stephen A -- FitzJohn, Richard G -- McGlinn, Daniel J -- O'Meara, Brian C -- Moles, Angela T -- Reich, Peter B -- Royer, Dana L -- Soltis, Douglas E -- Stevens, Peter F -- Westoby, Mark -- Wright, Ian J -- Aarssen, Lonnie -- Bertin, Robert I -- Calaminus, Andre -- Govaerts, Rafael -- Hemmings, Frank -- Leishman, Michelle R -- Oleksyn, Jacek -- Soltis, Pamela S -- Swenson, Nathan G -- Warman, Laura -- Beaulieu, Jeremy M -- England -- Nature. 2014 Feb 6;506(7486):89-92. doi: 10.1038/nature12872. Epub 2013 Dec 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Biological Sciences, George Washington University, Washington DC 20052, USA [2] Center for Conservation and Sustainable Development, Missouri Botanical Garden, St Louis, Missouri 63121, USA. ; 1] Department of Biological Sciences, University of Idaho, Moscow, Idaho 83844, USA [2] Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, Idaho 83844, USA. ; 1] Department of Ecological Sciences, Systems Ecology, de Boelelaan 1085, 1081 HV Amsterdam, the Netherlands [2] Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia. ; Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan 48109, USA. ; 1] Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia V6T1Z4, Canada [2] Department of Biological Sciences, Macquarie University, Sydney, New South Wales 2109, Australia. ; Department of Biology and the Ecology Center, Utah State University, Logan, Utah 84322, USA. ; Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee 37996, USA. ; Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia. ; 1] Department of Forest Resources, University of Minnesota, St Paul, Minnesota 55108, USA [2] Hawkesbury Institute for the Environment, University of Western Sydney, Penrith, New South Wales 2751, Australia. ; Department of Earth and Environmental Sciences, Wesleyan University, Middletown, Connecticut 06459, USA. ; 1] Department of Biology, University of Florida, Gainesville, Florida 32611, USA [2] Florida Museum of Natural History, University of Florida, Gainesville, Florida 32611, USA [3] Genetics Institute, University of Florida, Gainesville, Florida 32611, USA. ; Department of Biology, University of Missouri-St Louis, St Louis, Missouri 63121, USA. ; Department of Biological Sciences, Macquarie University, Sydney, New South Wales 2109, Australia. ; Department of Biology, Queen's University, Kingston, Ontario K7L 3N6, Canada. ; Department of Biology, College of the Holy Cross, Worcester, Massachusetts 01610, USA. ; Department of Biology, University of Florida, Gainesville, Florida 32611, USA. ; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AB, United Kingdom. ; 1] Department of Forest Resources, University of Minnesota, St Paul, Minnesota 55108, USA [2] Polish Academy of Sciences, Institute of Dendrology, 62-035 Kornik, Poland. ; 1] Florida Museum of Natural History, University of Florida, Gainesville, Florida 32611, USA [2] Genetics Institute, University of Florida, Gainesville, Florida 32611, USA. ; Department of Plant Biology and Ecology, Evolutionary Biology and Behavior, Program, Michigan State University, East Lansing, Michigan 48824, USA. ; 1] Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia [2] Institute of Pacific Islands Forestry, USDA Forest Service, Hilo, Hawaii 96720, USA. ; National Institute for Mathematical & Biological Synthesis, University of Tennessee, Knoxville, Tennessee 37996, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24362564" target="_blank"〉PubMed〈/a〉
    Keywords: Angiosperms/*anatomy & histology/*physiology ; *Biological Evolution ; *Cold Climate ; *Ecosystem ; *Freezing ; Likelihood Functions ; Phylogeography ; Plant Leaves/anatomy & histology/physiology ; Seeds/physiology ; Time Factors ; Wood/anatomy & histology/physiology ; Xylem/*anatomy & histology/physiology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 1978-06-09
    Description: Prior incubation of rat anterior pituitary cells with 17beta-estradiol led to an almost complete reversal of the inhibitory effect of two dopamine agonists, dihydroergocornine and RU 24213, on both basal prolactin release and thyrotropin releasing hormone-induced prolactin release. These experiments thus demonstrate a direct interference of dopamine action by a peripheral hormone. Prolactin secretion by pituitary cells in primary culture could possibly serve as an easily accessible model of a system under dopaminergic control.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Raymond, V -- Beaulieu, M -- Labrie, F -- Boissier, J -- New York, N.Y. -- Science. 1978 Jun 9;200(4346):1173-5.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/418505" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cells, Cultured ; Dihydroergotoxine/antagonists & inhibitors ; *Dopamine Antagonists ; Estradiol/*pharmacology ; Female ; Phenethylamines/antagonists & inhibitors ; Pituitary Gland, Anterior/*drug effects/secretion ; Prolactin/*secretion ; Rats ; Thyrotropin-Releasing Hormone/pharmacology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2015-05-23
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zanne, Amy E -- Tank, David C -- Cornwell, William K -- Eastman, Jonathan M -- Smith, Stephen A -- FitzJohn, Richard G -- McGlinn, Daniel J -- O'Meara, Brian C -- Moles, Angela T -- Reich, Peter B -- Royer, Dana L -- Soltis, Douglas E -- Stevens, Peter F -- Westoby, Mark -- Wright, Ian J -- Aarssen, Lonnie -- Bertin, Robert I -- Calaminus, Andre -- Govaerts, Rafael -- Hemmings, Frank -- Leishman, Michelle R -- Oleksyn, Jacek -- Soltis, Pamela S -- Swenson, Nathan G -- Warman, Laura -- Beaulieu, Jeremy M -- England -- Nature. 2015 May 21;521(7552):380. doi: 10.1038/nature14371.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25993966" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2018-07-17
    Description: Insights into global planktonic diatom diversity: The importance of comparisons between phylogenetically equivalent units that account for time Insights into global planktonic diatom diversity: The importance of comparisons between phylogenetically equivalent units that account for time, Published online: 16 July 2018; doi:10.1038/s41396-018-0221-y Insights into global planktonic diatom diversity: The importance of comparisons between phylogenetically equivalent units that account for time
    Print ISSN: 1751-7362
    Electronic ISSN: 1751-7370
    Topics: Biology
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  • 9
    Publication Date: 2018-07-14
    Description: Diversity, Vol. 10, Pages 63: Predicting Extinction Risk for Data Deficient Bats Diversity doi: 10.3390/d10030063 Authors: Jessica Nicole Welch Jeremy M. Beaulieu Conservation biology aims to identify species most at risk of extinction and to understand factors that forecast species vulnerability. The International Union for Conservation of Nature (IUCN) Red List is a leading source for extinction risk data of species globally, however, many potentially at risk species are not assessed by the IUCN owing to inadequate data. Of the approximately 1150 bat species (Chiroptera) recognized by the IUCN, 17 percent are categorized as Data Deficient. Here, we show that large trait databases in combination with a comprehensive phylogeny can identify which traits are important for assessing extinction risk in bats. Using phylogenetic logistic regressions, we show that geographic range and island endemism are the strongest correlates of binary extinction risk. We also show that simulations using two models that trade-off between data complexity and data coverage provide similar estimates of extinction risk for species that have received a Red List assessment. We then use our model parameters to provide quantitative predictions of extinction risk for 60 species that have not received risk assessments by the IUCN. Our model suggests that at least 20 bat species should be treated as threatened by extinction. In combination with expert knowledge, our results can be used as a quick, first-pass prioritization for conservation action.
    Electronic ISSN: 1424-2818
    Topics: Biology
    Published by MDPI Publishing
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  • 10
    Publication Date: 2013-01-24
    Description: Environmental Science & Technology DOI: 10.1021/es302749u
    Print ISSN: 0013-936X
    Electronic ISSN: 1520-5851
    Topics: Chemistry and Pharmacology , Energy, Environment Protection, Nuclear Power Engineering
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