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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: The results demonstrate the capability of the vascular implantation model to conduct rapid in vivo assessments of vascular biomaterial corrosion behavior and to predict long-term biocorrosion behavior from material analyses and highlight the critical role of the arterial environment in directing the corrosion behavior of biodegradable metals.
Abstract: Metal stents are commonly used to revascularize occluded arteries. A bioabsorbable metal stent that harm- lessly erodes away over time may minimize the normal chronic risks associated with permanent implants. However, there is no simple, low-cost method of introducing candidate materials into the arterial environment. Here, we developed a novel experimental model where a biomaterial wire is implanted into a rat artery lumen (simulating bioabsorbable stent blood contact) or artery wall (simulating bioabsorbable stent matrix contact). We use this model to clarify the corro- sion mechanism of iron (� 99.5 wt %), which is a candidate bioabsorbable stent material due to its biocompatibility and mechanical strength. We found that iron wire encapsulation within the arterial wall extracellular matrix resulted in sub- stantial biocorrosion by 22 days, with a voluminous corrosion product retained within the vessel wall at 9 months. In con- trast, the blood-contacting luminal implant experienced mini- mal biocorrosion at 9 months. The importance of arterial blood versus arterial wall contact for regulating biocorrosion was confirmed with magnesium wires. We found that mag- nesium was highly corroded when placed in the arterial wall but was not corroded when exposed to blood in the arterial lumen for 3 weeks. The results demonstrate the capability of the vascular implantation model to conduct rapid in vivo assessments of vascular biomaterial corrosion behav- ior and to predict long-term biocorrosion behavior from material analyses. The results also highlight the critical role of the arterial environment (blood vs. matrix contact) in direct- ing the corrosion behavior of biodegradable metals. V C 2011 Wiley Periodicals, Inc. J Biomed Mater Res Part B: 00B:000-000, 2011.

158 citations

Journal ArticleDOI
TL;DR: A summary model to represent photosynthetic temperature responses was developed and showed that it predicted the observed global variation in optimal temperatures with high accuracy, which should enable improved prediction of the function of global ecosystems in a warming climate.
Abstract: The temperature response of photosynthesis is one of the key factors determining predicted responses to warming in global vegetation models (GVMs). The response may vary geographically, owing to genetic adaptation to climate, and temporally, as a result of acclimation to changes in ambient temperature. Our goal was to develop a robust quantitative global model representing acclimation and adaptation of photosynthetic temperature responses. We quantified and modelled key mechanisms responsible for photosynthetic temperature acclimation and adaptation using a global dataset of photosynthetic CO2 response curves, including data from 141 C3 species from tropical rainforest to Arctic tundra. We separated temperature acclimation and adaptation processes by considering seasonal and common-garden datasets, respectively. The observed global variation in the temperature optimum of photosynthesis was primarily explained by biochemical limitations to photosynthesis, rather than stomatal conductance or respiration. We found acclimation to growth temperature to be a stronger driver of this variation than adaptation to temperature at climate of origin. We developed a summary model to represent photosynthetic temperature responses and showed that it predicted the observed global variation in optimal temperatures with high accuracy. This novel algorithm should enable improved prediction of the function of global ecosystems in a warming climate.

158 citations

Journal ArticleDOI
TL;DR: It is shown that nanodiamonds can be stably formed in the gas phase at atmospheric pressure and neutral gas temperatures <100 °C by dissociation of ethanol vapour in a novel microplasma process that allows in flight purification by selective etching of the non-diamond carbon and stabilization of the nanod diamonds.
Abstract: Nanodiamonds are small clusters of carbon that are of use in various nanotechnology applications such as spintronics, but are difficult to synthesize. Here Kumar et al. achieve the fabrication of nanodiamonds 2–5 nm in size at near-ambient conditions by a microplasma process.

158 citations

Journal ArticleDOI
TL;DR: In this paper, a closed-form analytical solution of steady state fused covariance has been derived as a measure of performance using this approach and the results are derived under the assumptions that the two sensors are synchronized and no misassociation or merged measurement is considered in the study.
Abstract: In a multisensor environment, each sensor detects multiple targets and creates corresponding tracks. Fusion of tracks from these, possibly dissimilar, sensors yields more accurate kinematic and attribute information regarding the target. Two methodologies have been employed for such purpose, which are: measurement fusion and state vector fusion. It is well known that the measurement fusion approach is optimal but computationally inefficient and the state vector fusion algorithms are more efficient but suboptimal, in general. This is so because the state vector estimates to be fused obtained from two sensors, are not conditionally independent in general due to the common process noise from the target being tracked. It is to be noted that there are three approaches to state vector fusion, which are: weighted covariance, information matrix, and pseudomeasurement. This research is restricted solely to performance evaluation of the information matrix form of state vector fusion. Closed-form analytical solution of steady state fused covariance has been derived as a measure of performance using this approach. Note that the results are derived under the assumptions that the two sensors are synchronized and no misassociation or merged measurement is considered in the study. Results are compared with those using Monte Carlo simulation, which was used in the past to predict fusion system performance by various authors. These results provide additional insight into the mechanism of track fusion and greatly simplify evaluation of fusion performance. In addition, availability of such a solution facilitates the trade-off studies for designing fusion systems under various operating conditions.

158 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