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Institution

Michigan Technological University

EducationHoughton, Michigan, United States
About: Michigan Technological University is a education organization based out in Houghton, Michigan, United States. It is known for research contribution in the topics: Population & Volcano. The organization has 8023 authors who have published 17422 publications receiving 481780 citations. The organization is also known as: MTU & Michigan Tech.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a simple model for the strength in this regime of grain sizes is developed from classical dislocation theory, based on the bow-out of a dislocation from a grain boundary dislocation source.

323 citations

Journal ArticleDOI
TL;DR: In this paper, the authors demonstrate that elevated atmospheric CO2 increases the rates of both fine root production and mortality, and that nitrogen greatly influenced the proportional allocation of carbon to leaves vs. fine roots.
Abstract: summary In most natural ecosystems a significant portion of carbon fixed through photosynthesis is allocated to the production and maintenance of fine roots, the ephemeral portion of the root system that absorbs growth-limiting moisture and nutrients. In turn, senescence of fine roots can be the greatest source of C input to forest soils. Consequently, important questions in ecology entail the extent to which increasing atmospheric CO2 may alter the allocation of carbon to, and demography of, fine roots. Using microvideo and image analysis technology, we demonstrate that elevated atmospheric CO2 increases the rates of both fine root production and mortality. Rates of root mortality also increased substantially as soil nitrogen availability increased, regardless of CO2 concentration. Nitrogen greatly influenced the proportional allocation of carbon to leaves vs. fine roots. The amount of available nitrogen in the soil appears to be the most important factor regulating fine root demography in Populus trees.

323 citations

Journal ArticleDOI
Eleonora Di Valentino1, Luis A. Anchordoqui2, Özgür Akarsu3, Yacine Ali-Haïmoud4, Luca Amendola5, Nikki Arendse6, Marika Asgari7, Mario Ballardini8, Spyros Basilakos9, Elia S. Battistelli10, Micol Benetti11, Simon Birrer12, François R. Bouchet13, Marco Bruni14, Erminia Calabrese15, David Camarena16, Salvatore Capozziello11, Angela Chen17, Jens Chluba1, Anton Chudaykin, Eoin Ó Colgáin18, Francis-Yan Cyr-Racine19, Paolo de Bernardis10, Javier de Cruz Pérez20, Jacques Delabrouille21, Jo Dunkley22, Celia Escamilla-Rivera23, Agnès Ferté24, Fabio Finelli25, Wendy L. Freedman26, Noemi Frusciante, Elena Giusarma27, Adrià Gómez-Valent5, Julien Guy28, Will Handley29, Ian Harrison1, Luke Hart1, Alan Heavens30, Hendrik Hildebrandt31, Daniel E. Holz26, Dragan Huterer17, Mikhail M. Ivanov4, Shahab Joudaki32, Shahab Joudaki33, Marc Kamionkowski34, Tanvi Karwal35, Lloyd Knox36, Suresh Kumar37, Luca Lamagna10, Julien Lesgourgues38, Matteo Lucca39, Valerio Marra16, Silvia Masi10, Sabino Matarrese40, Arindam Mazumdar41, Alessandro Melchiorri10, Olga Mena42, Laura Mersini-Houghton43, Vivian Miranda44, Cristian Moreno-Pulido20, David F. Mota45, J. Muir12, Ankan Mukherjee46, Florian Niedermann47, Alessio Notari20, Rafael C. Nunes48, Francesco Pace1, Andronikos Paliathanasis, Antonella Palmese49, Supriya Pan50, Daniela Paoletti25, Valeria Pettorino51, F. Piacentini10, Vivian Poulin52, Marco Raveri35, Adam G. Riess34, Vincenzo Salzano53, Emmanuel N. Saridakis, Anjan A. Sen46, Arman Shafieloo54, Anowar J. Shajib55, Joseph Silk34, Joseph Silk56, Alessandra Silvestri57, Martin S. Sloth47, Tristan L. Smith58, Joan Solà Peracaula20, Carsten van de Bruck59, Licia Verde20, Luca Visinelli60, Benjamin D. Wandelt56, Deng Wang, Jian-Min Wang, Anil Kumar Yadav61, Weiqiang Yang62 
University of Manchester1, City University of New York2, Istanbul Technical University3, New York University4, Heidelberg University5, Niels Bohr Institute6, University of Edinburgh7, University of Bologna8, Academy of Athens9, Sapienza University of Rome10, University of Naples Federico II11, Stanford University12, Institut d'Astrophysique de Paris13, University of Portsmouth14, Cardiff University15, Universidade Federal do Espírito Santo16, University of Michigan17, Asia Pacific Center for Theoretical Physics18, University of New Mexico19, University of Barcelona20, University of St. Thomas (Minnesota)21, Princeton University22, National Autonomous University of Mexico23, California Institute of Technology24, INAF25, University of Chicago26, Michigan Technological University27, Lawrence Berkeley National Laboratory28, University of Cambridge29, Imperial College London30, Ruhr University Bochum31, University of Oxford32, University of Waterloo33, Johns Hopkins University34, University of Pennsylvania35, University of California, Davis36, Birla Institute of Technology and Science37, RWTH Aachen University38, Université libre de Bruxelles39, University of Padua40, Indian Institute of Technology Kharagpur41, Spanish National Research Council42, University of North Carolina at Chapel Hill43, University of Arizona44, University of Oslo45, Jamia Millia Islamia46, University of Southern Denmark47, National Institute for Space Research48, Fermilab49, Presidency University, Kolkata50, Université Paris-Saclay51, University of Montpellier52, University of Szczecin53, Korea Astronomy and Space Science Institute54, University of California, Los Angeles55, University of Paris56, Leiden University57, Swarthmore College58, University of Sheffield59, University of Amsterdam60, United College, Winnipeg61, Liaoning Normal University62
TL;DR: In this article, the authors focus on the 4.4σ tension between the Planck estimate of the Hubble constant H0 and the SH0ES collaboration measurements and discuss how the next decade's experiments will be crucial.

322 citations

Journal ArticleDOI
TL;DR: It is shown that the expression of a short tandem target mimic (STTM), which is composed of two short sequences mimicking small RNA target sites, separated by a linker of an empirically determined optimal size, leads to the degradation of targeted small RNAs by small RNA degrading nucleases.
Abstract: MicroRNAs (miRNAs) and other endogenous small RNAs act as sequence-specific regulators of the genome, transcriptome, and proteome in eukaryotes. The interrogation of small RNA functions requires an effective, widely applicable method to specifically block small RNA function. Here, we report the development of a highly effective technology that targets specific endogenous miRNAs or small interfering RNAs for destruction in Arabidopsis thaliana. We show that the expression of a short tandem target mimic (STTM), which is composed of two short sequences mimicking small RNA target sites, separated by a linker of an empirically determined optimal size, leads to the degradation of targeted small RNAs by small RNA degrading nucleases. The efficacy of the technology was demonstrated by the strong and specific developmental defects triggered by STTMs targeting three miRNAs and an endogenous siRNA. In summary, we developed an effective approach for the destruction of endogenous small RNAs, thereby providing a powerful tool for functional genomics of small RNA molecules in plants and potentially animals.

322 citations

Journal ArticleDOI
TL;DR: In this article, an examination of representative historical applications of quality techniques was conducted as well as identification of the differences and similarities surrounding quality improvement efforts in each of three service areas typically found in higher education: academic, administrative, and auxiliary functions.
Abstract: Quality experts believe that, ‘measuring customer satisfaction at an educational establishment might be regarded by educators as one of the greatest challenges of the quality movement’ (Cloutier & Richards, 1994, p. 117). This challenge is only one of several that surround quality improvement efforts in higher education. This paper focuses on identifying and evaluating techniques used to take on the challenges of quality improvement in higher education. This paper also examines two primary difficulties: first, definition of the customer; and second, measuring customer quality perceptions. An examination of representative historical applications of quality techniques was conducted as well as identification of the differences and similarities surrounding quality improvement efforts in each of three service areas typically found in higher education: academic, administrative, and auxiliary functions. While recognising these higher education areas differ from the typical business environment, positive research...

318 citations


Authors

Showing all 8104 results

NameH-indexPapersCitations
Anil K. Jain1831016192151
Marc W. Kirschner162457102145
Yonggang Huang13679769290
Hong Wang110163351811
Fei Wang107182453587
Emanuele Bonamente10521940826
Haoshen Zhou10451937609
Nicholas J. Turro104113153827
Yang Shao-Horn10245849463
Richard P. Novick9929534542
Markus J. Buehler9560933054
Martin L. Yarmush9170234591
Alan Robock9034627022
Patrick M. Schlievert9044432037
Lonnie O. Ingram8831622217
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202349
2022154
2021882
2020891
2019892
2018893