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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: Results indicated a significant interactive effect between temperature, acid concentration, and methanol to sludge mass ratio on the FAME yield for the insitu transesterification of primary sludge, while the Fame yield for secondary sludge was significantly affected by the independent effects of the three factors investigated.

288 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of the congruity between the product foci of the advertiser and the Web site, as well as banner color and banner color-text color contrast on measures of attention (i.e., recall and recognition) and attitudes toward the ad and the web site were investigated.
Abstract: Gaining consumers' attention and generating favorable attitudes are two key advertising objectives. Using two experiments in an on-line environment, we consider the effects of the congruity between the product foci of the advertiser and the Web site, as well as banner color and banner color-text color contrast on measures of attention (i.e., recall and recognition) and attitudes toward the ad and the Web site. Experiment 1 results indicate that incongruity has a more favorable effect on recall and recognition, whereas congruity has more favorable effects on attitudes. Experiment 2 results suggest that when ads generate sufficient attention to gain recall or recognition, moderate congruity offers the most favorable attitudes toward the ad. Managerial implications for the use of these ad execution cues are discussed and future research avenues are proposed.

288 citations

Journal ArticleDOI
TL;DR: The biological basis of these inducible killing mechanisms and how they are regulated in fish are described and compared to those described in mammals.
Abstract: Phagocytosis is a primitive defense mechanism in all multicellular animals. Phagocytes such as macrophages and neutrophils play an important role in limiting the dissemination of infectious agents, and are responsible for the eventual destruction of phagocytosed pathogens. These cells have evolved elaborate killing mechanisms for destroying pathogens. In addition to their repertoire of degradative enzymes and antimicrobial peptides, macrophages and neutrophils can be activated to produce a number of highly toxic molecules. Production of reactive oxygen and nitrogen intermediates by these cells are potent cytotoxic mechanisms against bacteria and protozoan pathogens. Studies in fish suggest that the biological basis of these inducible killing mechanisms is similar to those described in mammals. More recent work suggest novel roles for regulating these killing responses in fish. In this review, we describe the biological basis of these killing mechanisms and how they are regulated in fish.

288 citations

Journal ArticleDOI
TL;DR: In this paper, a finite element method is proposed for one dimensional interface problems involving discontinuities in the coefficients of the differential equations and the derivatives of the solutions, which is shown to be second order accurate in the infinity norm.

287 citations

Journal ArticleDOI
TL;DR: The two estimators MVvc and EB are found to be the most accurate in general, particularly when the heterogeneity variance is moderate to large, particularly during the period when the number of studies is large.
Abstract: For random effects meta-analysis, seven different estimators of the heterogeneity variance are compared and assessed using a simulation study. The seven estimators are the variance component type estimator (VC), the method of moments estimator (MM), the maximum likelihood estimator (ML), the restricted maximum likelihood estimator (REML), the empirical Bayes estimator (EB), the model error variance type estimator (MV), and a variation of the MV estimator (MVvc). The performance of the estimators is compared in terms of both bias and mean squared error, using Monte Carlo simulation. The results show that the REML and especially the ML and MM estimators are not accurate, having large biases unless the true heterogeneity variance is small. The VC estimator tends to overestimate the heterogeneity variance in general, but is quite accurate when the number of studies is large. The MV estimator is not a good estimator when the heterogeneity variance is small to moderate, but it is reasonably accurate when the heterogeneity variance is large. The MVvc estimator is an improved estimator compared to the MV estimator, especially for small to moderate values of the heterogeneity variance. The two estimators MVvc and EB are found to be the most accurate in general, particularly when the heterogeneity variance is moderate to large.

286 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