Institution
Michigan Technological University
Education•Houghton, 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 published on a yearly basis
Papers
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TL;DR: In this article, a cubic-type crystal model is used to describe the distribution of nearest neighboring atoms about a given atom in an interface of arbitrary orientation between two cubic type crystals.
125 citations
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TL;DR: In this article, the authors explored effects of specific emotions on subjective judgment, driving performance, and perceived workload, and found that different emotions may have different impacts, even though they belong to the same valence or arousal.
Abstract: The aim of this paper was to explore effects of specific emotions on subjective judgment, driving performance, and perceived workload. The traditional driving behavior research has focused on cognitive aspects such as attention, judgment, and decision making. Psychological findings have indicated that affective states also play a critical role in a user's rational, functional, and intelligent behaviors. Most applied emotion research has concentrated on simple valence and arousal dimensions. However, recent findings have indicated that different emotions may have different impacts, even though they belong to the same valence or arousal. To identify more specific affective effects, seventy undergraduate participants drove in a vehicle simulator under three different road conditions, with one of the following induced affective states: anger, fear, happiness, or neutral. We measured their subjective judgment of driving confidence, risk perception, and safety level after affect induction; four types of driving errors: Lane Keeping, Traffic Rules, Aggressive Driving, and Collision while driving; and the electronic NASA-TLX after driving. Induced anger clearly showed negative effects on subjective safety level and led to degraded driving performance compared to neutral and fear. Happiness also showed degraded driving performance compared to neutral and fear. Fear did not have any significant effect on subjective judgment, driving performance, or perceived workload. RESULTS suggest that we may need to take emotions and affect into account to construct a naturalistic and generic driving behavior model. To this end, a specific-affect approach is needed, beyond the sheer valence and arousal dimensions. Given that workload results are similar across affective states, examining affective effects may also require a different approach than just the perceived workload framework. The present work is expected to guide emotion detection research and help develop an emotion regulation model and adaptive interfaces for drivers.
125 citations
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TL;DR: In this article, a single pass scratch test on bilinear elastic-plastic materials with a conical indenter was simulated using a three-dimensional finite element model, and the influence of the interfacial friction coefficient μs and the apical angle α of the indenter on the induced maximum tangential force FT, normal force FN, and overall friction coefficient was systematically studied.
125 citations
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TL;DR: In this article, an upper bound of 16% (at 95% c.l.) was derived for the photon fraction in cosmic rays with energies greater than 1019 eV, based on observations of the depth of shower maximum performed with the hybrid detector of the Pierre Auger Observatory.
125 citations
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Vrije Universiteit Brussel1, Royal Museum for Central Africa2, National Museum of Natural History3, Chalmers University of Technology4, Michigan Technological University5, University of Rochester6, University of Massachusetts Boston7, Spanish National Research Council8, University of Western Ontario9, Technical University of Madrid10, Natural Resources Canada11, University of Naples Federico II12, Carnegie Institution for Science13
TL;DR: In this paper, a detailed description of Nyamulagira's January 2010 volcanic eruption (North Kivu, Democratic Republic of Congo), based on a combination of field observation and ground-based and space-borne data, is presented.
Abstract: This paper presents a thorough description of Nyamulagira’s January 2010 volcanic eruption (North Kivu, Democratic Republic of Congo), based on a combination of field observation and ground-based and space-borne data. It is the first eruption in the Virunga Volcanic Province that has been described by a combination of several modern monitoring techniques. The 2010 eruption lasted 26 days and emitted ∼45.5 × 106 m3 of lava. Field observations divided the event into four eruptive stages delimited by major changes in effusive activity. These stages are consistent with those described by Pouclet (1976) for historical eruptions of Nyamulagira. Co-eruptive signals from ground deformation, seismicity, SO2 emission and thermal flux correlate with the eruptive stages. Unambiguous pre-eruptive ground deformation was observed 3 weeks before the lava outburst, coinciding with a small but clear increase in the short period seismicity and SO2 emission. The 3 weeks of precursors contrasts with the only precursory signal previously recognized in the Virunga Volcanic Province, the short-term increase of tremor and long period seismicity, which, for example, were only detected less than 2 h prior to the 2010 eruption. The present paper is the most detailed picture of a typical flank eruption of this volcano. It provides valuable tools for re-examining former—mostly qualitative—descriptions of historical Nyamulagira eruptions that occurred during the colonial period.
125 citations
Authors
Showing all 8104 results
Name | H-index | Papers | Citations |
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Anil K. Jain | 183 | 1016 | 192151 |
Marc W. Kirschner | 162 | 457 | 102145 |
Yonggang Huang | 136 | 797 | 69290 |
Hong Wang | 110 | 1633 | 51811 |
Fei Wang | 107 | 1824 | 53587 |
Emanuele Bonamente | 105 | 219 | 40826 |
Haoshen Zhou | 104 | 519 | 37609 |
Nicholas J. Turro | 104 | 1131 | 53827 |
Yang Shao-Horn | 102 | 458 | 49463 |
Richard P. Novick | 99 | 295 | 34542 |
Markus J. Buehler | 95 | 609 | 33054 |
Martin L. Yarmush | 91 | 702 | 34591 |
Alan Robock | 90 | 346 | 27022 |
Patrick M. Schlievert | 90 | 444 | 32037 |
Lonnie O. Ingram | 88 | 316 | 22217 |