Institution
University of Peradeniya
Education•Kandy, Sri Lanka•
About: University of Peradeniya is a education organization based out in Kandy, Sri Lanka. It is known for research contribution in the topics: Population & Poison control. The organization has 5970 authors who have published 7388 publications receiving 197002 citations.
Topics: Population, Poison control, Adsorption, Electrolyte, Agriculture
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the Boltzmann transport equation is used to calculate thermal and electrical conductivity of metal nanostructures with characteristic dimensions in the 25-500 nm range, near to and above the Debye temperature.
Abstract: The Boltzmann transport equation is used to calculate thermal and electrical conductivity of metal nanostructures with characteristic dimensions in the 25--500 nm range, near to and above the Debye temperature. Thermal conductivity contributions from phonons and electrons are considered. The intrinsic effects of electron-phonon, phonon-phonon, and phonon-electron scattering, and grain boundary and surface interactions are addressed. Excellent agreement is found between model results and available data reporting direct measurements of thermal conductivity of nanowires, ribbons, and thin films in Al, Pt, and Cu, respectively. The Wiedemann-Franz (W-F) law and Lorenz factor are examined with decreasing size; their applicability is found to degrade in nanowires due mainly to increased relative phonon contribution. The effect of differences in the electron mean-free path for thermal gradient versus electrical field is also examined. A modified version of W-F is presented, corrected for these two factors and valid from macroscale to nanoscale provided characteristic sizes exceed the phonon mean-free path.
190 citations
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Marine Biological Laboratory1, Australian National University2, University of Sheffield3, University of Sydney4, University of Minnesota5, University of Peradeniya6, Carnegie Institution for Science7, Umeå University8, Columbia University9, Swedish University of Agricultural Sciences10, University of Edinburgh11, University of Canterbury12
TL;DR: It is demonstrated that temperature-dependent increases in leaf respiration do not follow a commonly used exponential function, and are found to find a decelerating function as leaves warm, reflecting a declining sensitivity to higher temperatures that is remarkably uniform across all biomes and plant functional types.
Abstract: Plant respiration constitutes a massive carbon flux to the atmosphere, and a major control on the evolution of the global carbon cycle. It therefore has the potential to modulate levels of climate change due to the human burning of fossil fuels. Neither current physiological nor terrestrial biosphere models adequately describe its short-term temperature response, and even minor differences in the shape of the response curve can significantly impact estimates of ecosystem carbon release and/or storage. Given this, it is critical to establish whether there are predictable patterns in the shape of the respiration–temperature response curve, and thus in the intrinsic temperature sensitivity of respiration across the globe. Analyzing measurements in a comprehensive database for 231 species spanning 7 biomes, we demonstrate that temperature-dependent increases in leaf respiration do not follow a commonly used exponential function. Instead, we find a decelerating function as leaves warm, reflecting a declining sensitivity to higher temperatures that is remarkably uniform across all biomes and plant functional types. Such convergence in the temperature sensitivity of leaf respiration suggests that there are universally applicable controls on the temperature response of plant energy metabolism, such that a single new function can predict the temperature dependence of leaf respiration for global vegetation. This simple function enables straightforward description of plant respiration in the land-surface components of coupled earth system models. Our cross-biome analyses shows significant implications for such fluxes in cold climates, generally projecting lower values compared with previous estimates.
189 citations
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TL;DR: This study provides a cytological characterization of the time course of events as PCD remodels young expanding leaves of the lace plant, indicated by alterations in cytoplasmic streaming, loss of anthocyanin color, and ultrastructural appearance.
Abstract: Programmed cell death (PCD) functions in the developmental remodeling of leaf shape in higher plants, a process analogous to digit formation in the vertebrate limb. In this study, we provide a cytological characterization of the time course of events as PCD remodels young expanding leaves of the lace plant. Tonoplast rupture is the first PCD event in this system, indicated by alterations in cytoplasmic streaming, loss of anthocyanin color, and ultrastructural appearance. Nuclei become terminal deoxynucleotidyl transferase‐mediated dUTP nick end labeling positive soon afterward but do not become morphologically altered until late stages of PCD. Genomic DNA is fragmented, but not into internucleosomal units. Other cytoplasmic changes, such as shrinkage and degradation of organelles, occur later. This form of PCD resembles tracheary element differentiation in cytological execution but requires unique developmental regulation so that discrete panels of tissue located equidistantly between veins undergo PCD while surrounding cells do not.
188 citations
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TL;DR: In this article, the temperature dependence of composition, unit cell parameters, thermal expansion coefficients and microstructure during complete thermal decomposition of calcite has been investigated by in-situ high-temperature X-ray powder diffraction.
188 citations
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University of Western Sydney1, Hobart Corporation2, Colorado State University3, United States Forest Service4, Los Alamos National Laboratory5, Institut national de la recherche agronomique6, University of Alberta7, Blaise Pascal University8, Princeton University9, Australian National University10, University of Tasmania11, Central Science Laboratory12, Hebrew University of Jerusalem13, Oregon State University14, Max Planck Society15, University of Basel16, University of Montana17, Hokkaido University18, Autonomous University of Barcelona19, Spanish National Research Council20, University of British Columbia21, University of Bordeaux22, Polytechnic University of Valencia23, Estonian University of Life Sciences24, University of Vienna25, Wageningen University and Research Centre26, University of Western Ontario27, Tokyo University of Agriculture and Technology28, Duke University29, University of Peradeniya30, University of Gothenburg31
TL;DR: It is shown that NSC estimates for woody plant tissues cannot be compared among laboratories, and users can either adopt the reference method given in this publication, or report estimates for a portion of samples using thereference method, and report estimates to a standard reference material.
Abstract: Non-structural carbohydrates (NSC) in plant tissue are frequently quantified to make inferences about plant responses to environmental conditions. Laboratories publishing estimates of NSC of woody plants use many different methods to evaluate NSC. We asked whether NSC estimates in the recent literature could be quantitatively compared among studies. We also asked whether any differences among laboratories were related to the extraction and quantification methods used to determine starch and sugar concentrations. These questions were addressed by sending sub-samples collected from five woody plant tissues, which varied in NSC content and chemical composition, to 29 laboratories. Each laboratory analyzed the samples with their laboratory-specific protocols, based on recent publications, to determine concentrations of soluble sugars, starch and their sum, total NSC. Laboratory estimates differed substantially for all samples. For example, estimates for Eucalyptus globulus leaves (EGL) varied from 23 to 116 (mean = 56) mg g(-1) for soluble sugars, 6-533 (mean = 94) mg g-1 for starch and 53-649 (mean = 153) mg g-1 for total NSC. Mixed model analysis of variance showed that much of the variability among laboratories was unrelated to the categories we used for extraction and quantification methods (method category R-2 = 0.05-0.12 for soluble sugars, 0.10-0.33 for starch and 0.01-0.09 for total NSC). For EGL, the difference between the highest and lowest least squares means for categories in the mixed model analysis was 33 mg g-1 for total NSC, compared with the range of laboratory estimates of 596 mg g-1. Laboratories were reasonably consistent in their ranks of estimates among tissues for starch (r = 0.41-0.91), but less so for total NSC (r = 0.45-0.84) and soluble sugars (r = 0.11-0.83). Our results show that NSC estimates for woody plant tissues cannot be compared among laboratories. The relative changes in NSC between treatments measured within a laboratory may be comparable within and between laboratories, especially for starch. To obtain comparable NSC estimates, we suggest that users can either adopt the reference method given in this publication, or report estimates for a portion of samples using the reference method, and report estimates for a standard reference material. Researchers interested in NSC estimates should work to identify and adopt standard methods.
187 citations
Authors
Showing all 5992 results
Name | H-index | Papers | Citations |
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David Gunnell | 114 | 688 | 79867 |
Michael S. Roberts | 82 | 740 | 27754 |
Richard F. Gillum | 77 | 217 | 84184 |
Lakshman P. Samaranayake | 75 | 586 | 19972 |
Adrian C. Newton | 74 | 453 | 21814 |
Nick Jenkins | 71 | 325 | 22477 |
Michael Eddleston | 63 | 310 | 16762 |
Velmurugu Ravindran | 63 | 280 | 14057 |
Samath D Dharmaratne | 62 | 151 | 103916 |
Nicholas A. Buckley | 62 | 419 | 14283 |
Saman Warnakulasuriya | 60 | 282 | 15766 |
Keith W. Hipel | 58 | 543 | 14045 |
Geoffrey K. Isbister | 57 | 468 | 12690 |
Fiona J Charlson | 53 | 91 | 80274 |
Abbas Shafiee | 51 | 418 | 8679 |