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Institution

Michigan State University

EducationEast Lansing, Michigan, United States
About: Michigan State University is a education organization based out in East Lansing, Michigan, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 60109 authors who have published 137074 publications receiving 5633022 citations. The organization is also known as: MSU & Michigan State.


Papers
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Journal ArticleDOI
TL;DR: This work develops pymoo, a multi-objective optimization framework in Python that addresses practical needs, such as the parallelization of function evaluations, methods to visualize low and high-dimensional spaces, and tools for multi-criteria decision making.
Abstract: Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part of these research fields, more optimization related frameworks have arisen in the past few years. Only a few of them support optimization of multiple conflicting objectives at a time, but do not provide comprehensive tools for a complete multi-objective optimization task. To address this issue, we have developed pymoo, a multi-objective optimization framework in Python. We provide a guide to getting started with our framework by demonstrating the implementation of an exemplary constrained multi-objective optimization scenario. Moreover, we give a high-level overview of the architecture of pymoo to show its capabilities followed by an explanation of each module and its corresponding sub-modules. The implementations in our framework are customizable and algorithms can be modified/extended by supplying custom operators. Moreover, a variety of single, multi- and many-objective test problems are provided and gradients can be retrieved by automatic differentiation out of the box. Also, pymoo addresses practical needs, such as the parallelization of function evaluations, methods to visualize low and high-dimensional spaces, and tools for multi-criteria decision making. For more information about pymoo, readers are encouraged to visit: https://pymoo.org.

644 citations

Journal ArticleDOI
17 May 1990-Nature
TL;DR: In this article, models from atmospheric science, plant science, and agricultural economics are linked to explore the sensitivity of agricultural productivity to global climate change, and the simulation suggests that irrigated acreage will expand and regional patterns of U.S. agriculture will shift.
Abstract: Agricultural productivity is expected to be sensitive to global climate change. Models from atmospheric science, plant science, and agricultural economics are linked to explore this sensitivity. Although the results depend on the severity of climate change and the compensating effects of carbon dioxide on crop yields, the simulation suggests that irrigated acreage will expand and regional patterns of U.S. agriculture will shift. The impact of the U.S. economy strongly depends on which climate model is used.

644 citations

Journal ArticleDOI
15 Dec 2006-Science
TL;DR: The bulk of the comet 81P/Wild 2 samples returned to Earth by the Stardust spacecraft appear to be weakly constructed mixtures of nanometer-scale grains, with occasional much larger ferromagnesian silicates, Fe-Ni sulfides,Fe-Ni metal, and accessory phases.
Abstract: The bulk of the comet 81P/Wild 2 (hereafter Wild 2) samples returned to Earth by the Stardust spacecraft appear to be weakly constructed mixtures of nanometer-scale grains, with occasional much larger (over 1 micrometer) ferromagnesian silicates, Fe-Ni sulfides, Fe-Ni metal, and accessory phases. The very wide range of olivine and low-Ca pyroxene compositions in comet Wild 2 requires a wide range of formation conditions, probably reflecting very different formation locations in the protoplanetary disk. The restricted compositional ranges of Fe-Ni sulfides, the wide range for silicates, and the absence of hydrous phases indicate that comet Wild 2 experienced little or no aqueous alteration. Less abundant Wild 2 materials include a refractory particle, whose presence appears to require radial transport in the early protoplanetary disk.

644 citations

Journal ArticleDOI
TL;DR: There is growing interest in the problem of teacher induction and widespread support for the idea of assigning experienced teachers to work with beginning teachers as mentioned in this paper, however, we know relatively little about teacher induction.
Abstract: There is growing interest in the problem of teacher induction and widespread support for the idea of assigning experienced teachers to work with beginning teachers. Still, we know relatively little...

644 citations


Authors

Showing all 60636 results

NameH-indexPapersCitations
David Miller2032573204840
Anil K. Jain1831016192151
D. M. Strom1763167194314
Feng Zhang1721278181865
Derek R. Lovley16858295315
Donald G. Truhlar1651518157965
Donald E. Ingber164610100682
J. E. Brau1621949157675
Murray F. Brennan16192597087
Peter B. Reich159790110377
Wei Li1581855124748
Timothy C. Beers156934102581
Claude Bouchard1531076115307
Mercouri G. Kanatzidis1521854113022
James J. Collins15166989476
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023250
2022752
20217,041
20206,870
20196,548
20185,779