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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
15 Jan 2016-Fuel
TL;DR: In this paper, the authors used the Amber Cornell Extension Force Field (GAFF) to simulate the asphalt model using the common components from the references, and to predict the physical properties of asphalt material.

116 citations

Journal ArticleDOI
TL;DR: In this article, a study of radiocollared individuals in the gray wolf population in Isle Royale National Park was carried out, and the authors found that the proportion of lone wolves was higher when the population was at low levels, whereas average size of packs declined with density of wolves.
Abstract: A decline in the gray wolf ( Canis lupus ) population in Isle Royale National Park prompted an intensive study of radiocollared individuals in 1988–1991, complementing an ongoing study begun in 1958. During winter, 1959–1991, the proportion of lone wolves was higher when the population was at low levels, whereas average size of packs declined with density of wolves. Sizes of territories (1971–1991) were not related to size of packs. In winter, food availability (kg wolf−1 day−1) and kill interval (days/kill) varied inversely with size of packs. Social relationships of radiocollared lone wolves were flexible; they often formed temporary groups of two or three wolves. Small groups (less than four) and lone wolves roamed large areas of the island (300 km2 and 540 km2, respectively), frequently moving through territories of established packs. Solitary wolves and pairs readily killed adult moose, in contrast to a common belief that larger packs benefit from cooperative hunting.

116 citations

Journal ArticleDOI
TL;DR: Data suggest that miR393 promotes soybean defense against P. sojae, and identifies specific miRNAs and phasiRNAs that regulate defense-associated genes in soybean during Phytophthora infection.
Abstract: †SUMMARY The genus Phytophthora consists of many notorious pathogens of crops and forestry trees. At present, battling Phytophthora diseases is challenging due to a lack of understanding of their pathogenesis. We investigated the role of small RNAs in regulating soybean defense in response to infection by Phytophthora sojae, the second most destructive pathogen of soybean. Small RNAs, including microRNAs (miRNAs) and small interfering RNAs (siRNAs), are universal regulators that repress target gene expression in eukaryotes. We identified known and novel small RNAs that differentially accumulated during P. sojae infection in soybean roots. Among them, miR393 and miR166 were induced by heat-inactivated P. sojae hyphae, indicating that they may be involved in soybean basal defense. Indeed, knocking down the level of mature miR393 led to enhanced susceptibility of soybean to P. sojae; furthermore, the expression of isoflavonoid biosynthetic genes was drastically reduced in miR393 knockdown roots. These data suggest that miR393 promotes soybean defense against P. sojae. In addition to miRNAs, P. sojae infection also resulted in increased accumulation of phased siRNAs (phasiRNAs) that are predominantly generated from canonical resistance genes encoding nucleotide binding-leucine rich repeat proteins and genes encoding pentatricopeptide repeat-containing proteins. This work identifies specific miRNAs and phasiRNAs that regulate defense-associated genes in soybean during Phytophthora infection.

116 citations

Journal ArticleDOI
TL;DR: This paper presents a systematic and hierarchical approach for incorporating environmental considerations into all stages of chemical process design and shows the n-butane route was shown to be superior to the benzene route in both the raw material cost and environmental impact.
Abstract: This paper presents a systematic and hierarchical approach for incorporating environmental considerations into all stages of chemical process design. The complexity of the environmental and economic assessments increases as the design proceeds. The design method integrates computer-aided process simulation with a suite of environmental impact, economic, and decision analysis software tools. At the earliest design stage, the environmental assessment includes emission estimates from major process equipment, considers pollution control efficiency, and generates nine risk-based environmental impact indices. The economic assessment is based on the cost of raw materials and reaction stoichiometry. This assessment method was applied to the selection of alternative feedstocks for a reaction step: benzene versus n-butane for maleic anhydride (MA) production. Using known yields and selectivities, the n-butane route was shown to be superior to the benzene route in both the raw material cost and environmental impact...

116 citations

Journal ArticleDOI
TL;DR: The nameKlebsiella planticola sp.
Abstract: The nameKlebsiella planticola sp. nov. is proposed for a group of organisms isolated primarily from botanical and daquatic environments. Both numerical and molecular taxonomy techniques show that the species belongs within the genusKlebsiella and that it is distinct from other described species of the genus. The new species has 3 biogroups.K. planticolla is phenotypically identical toK. pneumoniae in classical biochemical tests, but it is distinguishable fromK. pneumoniae based on its ability to grow at 10°C and its inability to produce gas from lactose at 44.5°C. Additional reactions that can be used in combination with the temperature criteria includel-sorbose fermentation and ability to utilize hydroxy-l-proline as a sole carbon source. Strain V-236 (ATCC 33531; CDC 4245-72) is the type strain of the new species.

116 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