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Institution

United States Department of Energy

GovernmentWashington D.C., District of Columbia, United States
About: United States Department of Energy is a government organization based out in Washington D.C., District of Columbia, United States. It is known for research contribution in the topics: Catalysis & Coal. The organization has 13656 authors who have published 14177 publications receiving 556962 citations. The organization is also known as: DOE & Department of Energy.
Topics: Catalysis, Coal, Combustion, Adsorption, Hydrogen


Papers
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Journal ArticleDOI
TL;DR: This review evaluates agents and procedures that have the potential to protect against acute and late effects of ionising radiation when administered either before or after radiation exposure.
Abstract: Purpose: The search for ideal protective agents for use in a variety of radiation scenarios has continued for more than six decades. This review evaluates agents and procedures that have the potential to protect against acute and late effects of ionising radiation when administered either before or after radiation exposure.Conclusion: Over the years, extensive experimental studies of radiation-protective agents have enhanced our knowledge of radiation physics, chemistry, and biology. However, translation of agents from animal testing to use in various scenarios, such as prophylactic adjuncts in radiotherapy or post-exposure treatments for potential victims of radiation accidents/incidents, has been slow. Nevertheless, a number of compounds are now available for use in a variety of radiation situations. These include agents approved by the U.S. Food and Drug Administration for use in reducing exposure to internal radionuclides (Prussian blue, calcium diethylenetriamene pentaacetate (DTPA) and zinc DTPA, po...

248 citations

Journal ArticleDOI
TL;DR: In this paper, a new unit commitment model is proposed to simulate the interactions among plug-in hybrid electric vehicles (PHEVs), wind power, and demand response (DR).

247 citations

Journal ArticleDOI
TL;DR: In this paper, the ZEUS detector at HERA has been used to detect two muons in the final state using an integrated luminosity of 114 pb(-1) with a low transverse-momentum threshold for detection.
Abstract: Beauty production in events containing two muons in the final state has been measured with the ZEUS detector at HERA using an integrated luminosity of 114 pb(-1). A low transverse-momentum threshold for muon identification, in combination with the large rapidity coverage of the ZEUS muon system, gives access to almost the full phase space for beauty production. The total cross section for beauty production in e p collisions at root s = 318 GeV has been measured to be sigma(tot)(ep -> b (b) over barX) = 13.9 +/- 1.5(stat.)(-4.3)(+4.0)(syst.) nb. Differential cross sections and a measurement of b (b) over bar correlations are also obtained, and compared to other beauty cross-section measurements, Monte Carlo models and next-to-leading-order QCD predictions.

246 citations

Journal ArticleDOI
Sergei Põlme1, Sergei Põlme2, Kessy Abarenkov1, R. Henrik Nilsson3, Björn D. Lindahl4, Karina E. Clemmensen4, Håvard Kauserud5, Nhu H. Nguyen6, Rasmus Kjøller7, Scott T. Bates8, Petr Baldrian9, Tobias Guldberg Frøslev7, Kristjan Adojaan2, Alfredo Vizzini10, Ave Suija2, Donald H. Pfister11, Hans Otto Baral, Helle Järv12, Hugo Madrid13, Hugo Madrid14, Jenni Nordén, Jian-Kui Liu15, Julia Pawłowska16, Kadri Põldmaa2, Kadri Pärtel2, Kadri Runnel2, Karen Hansen17, Karl-Henrik Larsson, Kevin D. Hyde18, Marcelo Sandoval-Denis, Matthew E. Smith19, Merje Toome-Heller20, Nalin N. Wijayawardene, Nelson Menolli21, Nicole K. Reynolds19, Rein Drenkhan22, Sajeewa S. N. Maharachchikumbura15, Tatiana Baptista Gibertoni23, Thomas Læssøe7, William J. Davis24, Yuri Tokarev, Adriana Corrales25, Adriene Mayra Soares, Ahto Agan2, A. R. Machado23, Andrés Argüelles-Moyao26, Andrew P. Detheridge, Angelina de Meiras-Ottoni23, Annemieke Verbeken27, Arun Kumar Dutta28, Bao-Kai Cui29, C. K. Pradeep, César Marín30, Daniel E. Stanton, Daniyal Gohar2, Dhanushka N. Wanasinghe31, Eveli Otsing2, Farzad Aslani2, Gareth W. Griffith, Thorsten Lumbsch32, Hans-Peter Grossart33, Hans-Peter Grossart34, Hossein Masigol35, Ina Timling36, Inga Hiiesalu2, Jane Oja2, John Y. Kupagme2, József Geml, Julieta Alvarez-Manjarrez26, Kai Ilves2, Kaire Loit22, Kalev Adamson22, Kazuhide Nara37, Kati Küngas2, Keilor Rojas-Jimenez38, Krišs Bitenieks39, Laszlo Irinyi40, Laszlo Irinyi41, Laszlo Nagy, Liina Soonvald22, Li-Wei Zhou31, Lysett Wagner34, M. Catherine Aime8, Maarja Öpik2, María Isabel Mujica30, Martin Metsoja2, Martin Ryberg42, Martti Vasar2, Masao Murata37, Matthew P. Nelsen32, Michelle Cleary4, Milan C. Samarakoon18, Mingkwan Doilom31, Mohammad Bahram2, Mohammad Bahram4, Niloufar Hagh-Doust2, Olesya Dulya2, Peter R. Johnston43, Petr Kohout9, Qian Chen31, Qing Tian18, Rajasree Nandi44, Rasekh Amiri2, Rekhani H. Perera18, Renata dos Santos Chikowski23, Renato Lucio Mendes-Alvarenga23, Roberto Garibay-Orijel26, Robin Gielen2, Rungtiwa Phookamsak31, Ruvishika S. Jayawardena18, Saleh Rahimlou2, Samantha C. Karunarathna31, Saowaluck Tibpromma31, Shawn P. Brown45, Siim-Kaarel Sepp2, Sunil Mundra5, Sunil Mundra46, Zhu Hua Luo47, Tanay Bose48, Tanel Vahter2, Tarquin Netherway4, Teng Yang31, Tom W. May49, Torda Varga, Wei Li50, Victor R. M. Coimbra23, Virton Rodrigo Targino de Oliveira23, Vitor Xavier de Lima23, Vladimir S. Mikryukov2, Yong-Zhong Lu51, Yosuke Matsuda52, Yumiko Miyamoto53, Urmas Kõljalg2, Urmas Kõljalg1, Leho Tedersoo1, Leho Tedersoo2 
American Museum of Natural History1, University of Tartu2, University of Gothenburg3, Swedish University of Agricultural Sciences4, University of Oslo5, University of Hawaii at Manoa6, University of Copenhagen7, Purdue University8, Academy of Sciences of the Czech Republic9, University of Turin10, Harvard University11, Synlab Group12, Universidad Santo Tomás13, Universidad Mayor14, University of Electronic Science and Technology of China15, University of Warsaw16, Swedish Museum of Natural History17, Mae Fah Luang University18, University of Florida19, Laos Ministry of Agriculture and Forestry20, São Paulo Federal Institute of Education, Science and Technology21, Estonian University of Life Sciences22, Federal University of Pernambuco23, United States Department of Energy24, Del Rosario University25, National Autonomous University of Mexico26, Ghent University27, West Bengal State University28, Beijing Forestry University29, Pontifical Catholic University of Chile30, Chinese Academy of Sciences31, Field Museum of Natural History32, University of Potsdam33, Leibniz Association34, University of Gilan35, University of Alaska Fairbanks36, University of Tokyo37, University of Costa Rica38, Forest Research Institute39, Westmead Hospital40, University of Sydney41, Uppsala University42, Landcare Research43, University of Chittagong44, University of Memphis45, United Arab Emirates University46, Ministry of Land and Resources of the People's Republic of China47, University of Pretoria48, Royal Botanic Gardens49, Ocean University of China50, Guizhou University51, Mie University52, Hokkaido University53
TL;DR: Fungal traits and character database FungalTraits operating at genus and species hypothesis levels is presented in this article, which includes 17 lifestyle related traits of fungal and Stramenopila genera.
Abstract: The cryptic lifestyle of most fungi necessitates molecular identification of the guild in environmental studies. Over the past decades, rapid development and affordability of molecular tools have tremendously improved insights of the fungal diversity in all ecosystems and habitats. Yet, in spite of the progress of molecular methods, knowledge about functional properties of the fungal taxa is vague and interpretation of environmental studies in an ecologically meaningful manner remains challenging. In order to facilitate functional assignments and ecological interpretation of environmental studies we introduce a user friendly traits and character database FungalTraits operating at genus and species hypothesis levels. Combining the information from previous efforts such as FUNGuild and Fun(Fun) together with involvement of expert knowledge, we reannotated 10,210 and 151 fungal and Stramenopila genera, respectively. This resulted in a stand-alone spreadsheet dataset covering 17 lifestyle related traits of fungal and Stramenopila genera, designed for rapid functional assignments of environmental studies. In order to assign the trait states to fungal species hypotheses, the scientific community of experts manually categorised and assigned available trait information to 697,413 fungal ITS sequences. On the basis of those sequences we were able to summarise trait and host information into 92,623 fungal species hypotheses at 1% dissimilarity threshold.

245 citations


Authors

Showing all 13660 results

NameH-indexPapersCitations
Martin White1962038232387
Paul G. Richardson1831533155912
Jie Zhang1784857221720
Krzysztof Matyjaszewski1691431128585
Yang Gao1682047146301
David Eisenberg156697112460
Marvin Johnson1491827119520
Carlos Escobar148118495346
Joshua A. Frieman144609109562
Paul Jackson141137293464
Greg Landsberg1411709109814
J. Conway1401692105213
Pushpalatha C Bhat1391587105044
Julian Borrill139387102906
Cecilia Elena Gerber1381727106984
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202223
2021633
2020601
2019654
2018598