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Institution

Oklahoma State University–Stillwater

EducationStillwater, Oklahoma, United States
About: Oklahoma State University–Stillwater is a education organization based out in Stillwater, Oklahoma, United States. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 18267 authors who have published 36743 publications receiving 1107500 citations. The organization is also known as: Oklahoma State University & OKState.


Papers
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Journal ArticleDOI
Georges Aad1, Brad Abbott2, Dale Charles Abbott3, Ovsat Abdinov4  +2934 moreInstitutions (199)
TL;DR: In this article, a search for the electroweak production of charginos and sleptons decaying into final states with two electrons or muons is presented, based on 139.fb$^{-1}$ of proton-proton collisions recorded by the ATLAS detector at the Large Hadron Collider at
Abstract: A search for the electroweak production of charginos and sleptons decaying into final states with two electrons or muons is presented. The analysis is based on 139 fb$^{-1}$ of proton–proton collisions recorded by the ATLAS detector at the Large Hadron Collider at $\sqrt{s}=13$ $\text {TeV}$. Three R-parity-conserving scenarios where the lightest neutralino is the lightest supersymmetric particle are considered: the production of chargino pairs with decays via either W bosons or sleptons, and the direct production of slepton pairs. The analysis is optimised for the first of these scenarios, but the results are also interpreted in the others. No significant deviations from the Standard Model expectations are observed and limits at 95% confidence level are set on the masses of relevant supersymmetric particles in each of the scenarios. For a massless lightest neutralino, masses up to 420 $\text {Ge}\text {V}$ are excluded for the production of the lightest-chargino pairs assuming W-boson-mediated decays and up to 1 $\text {TeV}$ for slepton-mediated decays, whereas for slepton-pair production masses up to 700 $\text {Ge}\text {V}$ are excluded assuming three generations of mass-degenerate sleptons.

272 citations

Journal ArticleDOI
TL;DR: In this article, the authors compare the ability of three preference elicitation methods (hypothetical choices, non-, hypothetical choices, and non-hypotheses) and three discrete-choice econometric models (the multinomial logit [MNL], the independent availability logit, and the random parameter logit (RPL)) to predict actual retail shopping behavior in three different product categories (ground beef, wheat flour, and dishwashing liquid).
Abstract: We compare the ability of three preference elicitation methods (hypothetical choices, nonhypothetical choices, and nonhypothetical rankings) and three discrete-choice econometric models (the multinomial logit [MNL], the independent availability logit [IAL], and the random parameter logit [RPL]) to predict actual retail shopping behavior in three different product categories (ground beef, wheat flour, and dishwashing liquid). Overall, we find a high level of external validity. Our specific results suggest that the nonhypothetical elicitation approaches, especially the nonhypothetical ranking method, outperformed the hypothetical choice experiment in predicting retail sales. We also find that the RPL can have superior predictive performance, but that the MNL predicts equally well in some circumstances. experiment.

272 citations

Journal ArticleDOI
TL;DR: The observation that some of the small RNAs are up- or down-regulated in response to stress implies that these smallRNAs have a role in stress tolerance and a better understanding of such processes will lead to new strategies to improve plant stress tolerance.

272 citations

Journal ArticleDOI
TL;DR: In this paper, it was shown that the existence of very high-magnesium calcite is not a sign of cation ordering in natural dolomite, but rather of a reaction path in high-temperature experiments.
Abstract: Dolomite [CaMg(CO3)2] forms in numerous geological settings, usually as a diagenetic replacement of limestone, and is an important component of petroleum reservoir rocks, rocks hosting base metal deposits and fresh water aquifers. Dolomite is a rhombohedral carbonate with a structure consisting of an ordered arrangement of alternating layers of Ca2+ and Mg2+ cations interspersed with CO32− anion layers normal to the c-axis. Dolomite has R3¯ symmetry, lower than the (CaCO3) R3¯c symmetry of calcite primarily due to Ca–Mg ordering. High-magnesium calcite also has R3¯c symmetry and differs from dolomite in that Ca2+ and Mg2+ ions are not ordered. High-magnesium calcite with near-dolomite stoichiometry (≈50 mol% MgCO3) has been observed both in nature and in laboratory products and is referred to in the literature as protodolomite or very high-magnesium calcite. Many dolomites display some degree of cation disorder (Ca2+ on Mg2+ sites and vice versa), which is detectable using transmission electron microscopy and X-ray diffractometry. Laboratory syntheses at high temperature and pressure, as well as studies of natural dolomites show that factors affecting dolomite ordering, stoichiometry, nucleation and growth include temperature, alkalinity, pH, concentration of Mg and Ca, Mg to Ca ratio, fluid to rock ratio, mineralogy of the carbonate being replaced, and surface area available for nucleation. In spite of numerous attempts, dolomite has not been synthesized in the laboratory under near-surface conditions. Examination of published X-ray diffraction data demonstrates that assertions of dolomite synthesis in the laboratory under near-ambient conditions by microbial mediation are unsubstantiated. These laboratory products show no evidence of cation ordering and appear to be very high-magnesium calcite. Elevated-temperature and elevated-pressure experiments demonstrate that dolomite nucleation and growth always are preceded by very high-magnesium calcite formation. It remains to be demonstrated whether microbial-mediated growth of very high-magnesium calcite in nature provides a precursor to dolomite nucleation and growth analogous to reaction paths in high-temperature experiments.

272 citations

Journal ArticleDOI
TL;DR: A new fitness evaluation mechanism to continuously differentiate individuals into different degrees of optimality beyond the classification of the original Pareto dominance is introduced, and the concept of fuzzy logic is adopted to define a fuzzy Pare to domination relation.
Abstract: Evolutionary algorithms have been effectively used to solve multiobjective optimization problems with a small number of objectives, two or three in general. However, when problems with many objectives are encountered, nearly all algorithms perform poorly due to loss of selection pressure in fitness evaluation solely based upon the Pareto optimality principle. In this paper, we introduce a new fitness evaluation mechanism to continuously differentiate individuals into different degrees of optimality beyond the classification of the original Pareto dominance. The concept of fuzzy logic is adopted to define a fuzzy Pareto domination relation. As a case study, the fuzzy concept is incorporated into the designs of NSGA-II and SPEA2. Experimental results show that the proposed methods exhibit better performance in both convergence and diversity than the original ones for solving many-objective optimization problems.

272 citations


Authors

Showing all 18403 results

NameH-indexPapersCitations
Gerald I. Shulman164579109520
James M. Tiedje150688102287
Robert J. Sternberg149106689193
Josh Moss139101989255
Brad Abbott137156698604
Itsuo Nakano135153997905
Luis M. Liz-Marzán13261661684
Flera Rizatdinova130124289525
Bernd Stelzer129120981931
Alexander Khanov129121987089
Dugan O'Neil128100080700
Michel Vetterli12890176064
Josu Cantero12684673616
Nicholas A. Kotov12357455210
Wei Chen122194689460
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202336
2022254
20211,902
20201,780
20191,633
20181,529