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  • 1
    Publication Date: 2009-03-28
    Description: The sensitivity of both nuclear magnetic resonance spectroscopy and magnetic resonance imaging is very low because the detected signal strength depends on the small population difference between spin states even in high magnetic fields. Hyperpolarization methods can be used to increase this difference and thereby enhance signal strength. This has been achieved previously by incorporating the molecular spin singlet para-hydrogen into hydrogenation reaction products. We show here that a metal complex can facilitate the reversible interaction of para-hydrogen with a suitable organic substrate such that up to an 800-fold increase in proton, carbon, and nitrogen signal strengths are seen for the substrate without its hydrogenation. These polarized signals can be selectively detected when combined with methods that suppress background signals.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Adams, Ralph W -- Aguilar, Juan A -- Atkinson, Kevin D -- Cowley, Michael J -- Elliott, Paul I P -- Duckett, Simon B -- Green, Gary G R -- Khazal, Iman G -- Lopez-Serrano, Joaquin -- Williamson, David C -- Biotechnology and Biological Sciences Research Council/United Kingdom -- Medical Research Council/United Kingdom -- New York, N.Y. -- Science. 2009 Mar 27;323(5922):1708-11. doi: 10.1126/science.1168877.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Chemistry, University of York, Heslington, York, YO10 5DD, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19325111" target="_blank"〉PubMed〈/a〉
    Keywords: Carbon/analysis ; Hydrogen/*chemistry ; Iridium/chemistry ; Ligands ; Magnetic Resonance Imaging ; *Magnetic Resonance Spectroscopy ; Niacinamide/chemistry ; Nitrogen/analysis ; Protons ; Pyridines/chemistry ; Sensitivity and Specificity
    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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  • 2
    Publication Date: 2018-07-27
    Description: Forests, Vol. 9, Pages 453: Forest Ecosystem Services: An Analysis of Worldwide Research Forests doi: 10.3390/f9080453 Authors: José A. Aznar-Sánchez Luis J. Belmonte-Ureña María J. López-Serrano Juan F. Velasco-Muñoz The relevance of forests to sustain human well-being and the serious threats they face have led to a notable increase of research works on forest ecosystem services during the last few years. This paper analyses the worldwide research dynamics on forest ecosystem services in the period from 1998 to 2017. A bibliometric analysis of 4284 articles was conducted. The results showed that the number of published research articles has especially increased during the last five years. In total, 68.63% of the articles were published in this period. This research line experiences a growing trend superior to the general publishing trend on forest research. In spite of this increase, its relative significance within the forest research is still limited. The most productive subject areas corresponded to Environmental Science, Agricultural and Biological Sciences and Social Sciences Economic topics are understudied. The scientific production is published in a wide range of journals. The three first publishing countries are United States, China and the United Kingdom. The most productive authors are attached to diverse research centres and their contributions are relatively recent. A high level of international cooperation has been observed between countries, institutions and authors. The findings of this study are useful for researchers since they give them an overview of the worldwide research trends on forest ecosystem services.
    Electronic ISSN: 1999-4907
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Published by MDPI Publishing
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  • 3
    Publication Date: 2018-04-08
    Description: Forests, Vol. 9, Pages 190: Developing Models to Predict the Number of Fire Hotspots from an Accumulated Fuel Dryness Index by Vegetation Type and Region in Mexico Forests doi: 10.3390/f9040190 Authors: D. Vega-Nieva J. Briseño-Reyes M. Nava-Miranda E. Calleros-Flores P. López-Serrano J. Corral-Rivas E. Montiel-Antuna M. Cruz-López M. Cuahutle R. Ressl E. Alvarado-Celestino A. González-Cabán E. Jiménez J. Álvarez-González A. Ruiz-González R. Burgan H. Preisler Understanding the linkage between accumulated fuel dryness and temporal fire occurrence risk is key for improving decision-making in forest fire management, especially under growing conditions of vegetation stress associated with climate change. This study addresses the development of models to predict the number of 10-day observed Moderate-Resolution Imaging Spectroradiometer (MODIS) active fire hotspots—expressed as a Fire Hotspot Density index (FHD)—from an Accumulated Fuel Dryness Index (AcFDI), for 17 main vegetation types and regions in Mexico, for the period 2011–2015. The AcFDI was calculated by applying vegetation-specific thresholds for fire occurrence to a satellite-based fuel dryness index (FDI), which was developed after the structure of the Fire Potential Index (FPI). Linear and non-linear models were tested for the prediction of FHD from FDI and AcFDI. Non-linear quantile regression models gave the best results for predicting FHD using AcFDI, together with auto-regression from previously observed hotspot density values. The predictions of 10-day observed FHD values were reasonably good with R2 values of 0.5 to 0.7 suggesting the potential to be used as an operational tool for predicting the expected number of fire hotspots by vegetation type and region in Mexico. The presented modeling strategy could be replicated for any fire danger index in any region, based on information from MODIS or other remote sensors.
    Electronic ISSN: 1999-4907
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Published by MDPI Publishing
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  • 4
    Publication Date: 2019-02-01
    Print ISSN: 0360-5442
    Electronic ISSN: 1873-6785
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Elsevier
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