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Institution

Mississippi State University

EducationStarkville, Mississippi, United States
About: Mississippi State University is a education organization based out in Starkville, Mississippi, United States. It is known for research contribution in the topics: Population & Catfish. The organization has 14115 authors who have published 28594 publications receiving 700030 citations. The organization is also known as: The Mississippi State University of Agriculture and Applied Science & Mississippi State University of Agriculture and Applied Science.


Papers
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Journal ArticleDOI
TL;DR: The authors examined whether the decriminalization of marijuana in eleven states has affected self-reported usage of drugs and found that the demand for drugs is highly inelastic with respect to incremental changes in the legal sanctions for possession of small amounts of marijuana.
Abstract: This study examines whether the decriminalization of marijuana in eleven states has affected self-reported usage of drugs. Generally, decriminalization is not found to significantly impact drug use. An implication is that the demand for drugs is highly inelastic with respect to incremental changes in the legal sanctions for possession of small amounts of marijuana.

134 citations

Journal ArticleDOI
TL;DR: In this paper, the authors developed a test for undocumented changepoints for periodic and autocorrelated time series and applied it in the analyses of two climate series and found that the test is applicable to both daily and hourly time series.
Abstract: Undocumented changepoints (inhomogeneities) are ubiquitous features of climatic time series. Level shifts in time series caused by changepoints confound many inference problems and are very important data features. Tests for undocumented changepoints from models that have independent and identically distributed errors are by now well understood. However, most climate series exhibit serial autocorrelation. Monthly, daily, or hourly series may also have periodic mean structures. This article develops a test for undocumented changepoints for periodic and autocorrelated time series. Classical changepoint tests based on sums of squared errors are modified to take into account series autocorrelations and periodicities. The methods are applied in the analyses of two climate series.

134 citations

Journal ArticleDOI
TL;DR: The strong response of epiphytes to enrichment suggests that cultural eutrophication could pose a threat to seagrass beds of Big Lagoon, Perdido Key, Florida, USA.
Abstract: Monospecific beds of the seagrasses Halodule wrightii, Syringodium filiforme and Thalassia testudinum were enriched with a slow-release Osmocote (N-P-K) fertilizer from August 1993 through September 1994. Primary production rates (as 14 C uptake), biomass (dry weight), and chlorophyll a (chl a) (measured by HPLC) of epiphytes in enriched beds were significantly greater than those of epiphytes in control beds. Based on microscopic observations, the dominant epiphytic algae were diatoms and red and brown algae. Populations of the brown alga Myriotrichia subcorymbosa and the red alga Acrochaetium flexuosum increased greatly in enriched plots of all 3 seagrass species. Multiple linear regression supported observational data in that pigment signatures selected for the dominant epiphytes (fucoxanthin, zeaxanthin, and violaxanthin) explained 97% of the variation in chl a. A strong correlation between measured and predicted chl a (r = 0.98) suggested that chl a is an excellent indicator of epiphytic biomass in this system. Production rates of blades increased in enriched plots relative to controls but biomass of blades was unaffected. The strong response of epiphytes to enrichment suggests that cultural eutrophication could pose a threat to seagrass beds of Big Lagoon, Perdido Key, Florida, USA. Negative effects could be manifested as a reduction in the coverage of shallow-water sediments by seagrass beds and/or the elimination of 1 or 2 species, possibly converting Big Lagoon into a seagrass monoculture.

134 citations

Book ChapterDOI
01 Jan 1992

134 citations

Journal ArticleDOI
TL;DR: Laser-induced breakdown spectroscopy is used for the first time to the authors' knowledge to distinguish normal and malignant tumor cells from histological sections and it is found that the concentration of trace elements in normal and tumor cells was significantly different.
Abstract: Cancer diagnosis and classification is extremely complicated and, for the most part, relies on subjective interpretation of biopsy material. Such methods are laborious and in some cases might result in different results depending on the histopathologist doing the examination. Automated, real-time diagnostic procedures would greatly facilitate cancer diagnosis and classification. Laser-induced breakdown spectroscopy (LIBS) is used for the first time to our knowledge to distinguish normal and malignant tumor cells from histological sections. We found that the concentration of trace elements in normal and tumor cells was significantly different. For comparison, the tissue samples were also analyzed by an inductively coupled plasma emission spectroscopy (ICPES) system. The results from the LIBS measurement and ICPES analysis were in good agreement.

134 citations


Authors

Showing all 14277 results

NameH-indexPapersCitations
Naomi J. Halas14043582040
Bin Liu138218187085
Shuai Liu129109580823
Vijay P. Singh106169955831
Liangpei Zhang9783935163
K. L. Dooley9532063579
Feng Chen95213853881
Marco Cavaglia9337260157
Tuan Vo-Dinh8669824690
Nicholas H. Barton8426732707
S. Kandhasamy8123550363
Michael S. Sacks8038620510
Dinesh Mohan7928335775
James Mallet7820921349
George D. Kuh7724830346
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202347
2022247
20211,725
20201,620
20191,465
20181,467