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Institution

Missouri University of Science and Technology

EducationRolla, Missouri, United States
About: Missouri University of Science and Technology is a education organization based out in Rolla, Missouri, United States. It is known for research contribution in the topics: Control theory & Artificial neural network. The organization has 9380 authors who have published 21161 publications receiving 462544 citations. The organization is also known as: Missouri S&T & University of Missouri–Rolla.


Papers
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Journal ArticleDOI
TL;DR: Several AGE inhibitors and AGE breakers have been developed in recent years, and their underlying mechanism is based on the attenuation of glycoxidation and/or oxidative stress by the sequestration of metal ions, reactive 1,2-dicarbonyl compounds, and reactive oxygen and reactive nitrogen species.

245 citations

Journal ArticleDOI
TL;DR: An IoT framework with smart location-based automated and networked energy control, which uses smartphone platform and cloud-computing technologies to enable multiscale energy proportionality including building-, user-, and organizational-level energy proportionalities is proposed.
Abstract: Smart energy in buildings is an important research area of Internet of Things (IoT). As important parts of the smart grids, the energy efficiency of buildings is vital for the environment and global sustainability. Using a LEED-gold-certificated green office building, we built a unique IoT experimental testbed for our energy efficiency and building intelligence research. We first monitor and collect 1-year-long building energy usage data and then systematically evaluate and analyze them. The results show that due to the centralized and static building controls, the actual running of green buildings may not be energy efficient even though they may be “green” by design. Inspired by “energy proportional computing” in modern computers, we propose an IoT framework with smart location-based automated and networked energy control, which uses smartphone platform and cloud-computing technologies to enable multiscale energy proportionality including building-, user-, and organizational-level energy proportionality. We further build a proof-of-concept IoT network and control system prototype and carried out real-world experiments, which demonstrate the effectiveness of the proposed solution. We envision that the broad application of the proposed solution has not only led to significant economic benefits in term of energy saving, improving home/office network intelligence, but also bought in a huge social implication in terms of global sustainability.

244 citations

Journal ArticleDOI
TL;DR: In this article, the authors demonstrate that two-dimensional MXenes (e.g., titanium carbide Ti3C2Tx) are a family of electrically conducting materials that are triboelectrically more negative than polytetrafluorethylene, or Teflon.

243 citations

Journal ArticleDOI
TL;DR: In this paper, the fractal dimension is proposed as a method of objectively quantifying the roughness profile of such discontinuities, which can be used in the analysis of deformation and failure of rock masses.

242 citations

Journal ArticleDOI
TL;DR: In this article, the effects of the initial particle size, hot pressing time, and hot pressing temperature on the final grain size and morphology were examined for ZrB2 containing 30 volume percent SiC particulates.
Abstract: Structure–property relations were examined for ZrB2 containing 30 volume percent SiC particulates. Two grades of ZrB2 with initial particle sizes of 2 and 6 μm were used. Billets of ZrB2–SiC were produced by hot pressing at 1850, 1950 or 2050 °C for 45 min. In addition, the material prepared from ZrB2 with an initial particle size of 2 μm was hot pressed at 2050 °C for 90 and 180 min. Microstructures and mechanical properties were characterized to determine the effects of the initial particle size, hot pressing time, and hot pressing temperature on the final grain size and morphology. The average grain size of the ZrB2 phase ranged from 2.2 to 4.7 μm. Similarly, the average grain size of the SiC phase ranged from 1.2 to 2.7 μm. Hardness and modulus of elasticity were not affected by the processing conditions with average values of 22 and 505 GPa, respectively. However, flexural strength decreased as grain size increased from a maximum of ∼1050 MPa for the finest grain sizes to ∼700 MPa for the largest grain sizes. Analysis suggested that the strength of ZrB2–SiC was limited by the size of the SiC inclusions in the ZrB2 matrix.

242 citations


Authors

Showing all 9433 results

NameH-indexPapersCitations
Robert Stone1601756167901
Tobin J. Marks1591621111604
Jeffrey R. Long11842568415
Xiao-Ming Chen10859642229
Mark C. Hersam10765946813
Michael Schulz10075950719
Christopher J. Chang9830736101
Marco Cavaglia9337260157
Daniel W. Armstrong9375935819
Sajal K. Das85112429785
Ming-Liang Tong7936423537
Ludwig J. Gauckler7851725926
Rodolphe Clérac7850622604
David W. Fahey7731530176
Kai Wang7551922819
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202330
2022162
20211,047
20201,180
20191,195
20181,108