Louisiana State University

About: Louisiana State University is a education organization based out in Baton Rouge, Louisiana, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 40206 authors who have published 76587 publications receiving 2566076 citations. The organization is also known as: LSU & Louisiana State University and Agricultural and Mechanical College.

Evaluation and generalization of temperature‐based methods for calculating evaporation

Abstract: Seven temperature-based equations, each representing a typical form, were evaluated and compared for determining evaporation at two climatological stations (Rawson Lake and Atikokan) in north-western Ontario, Canada The comparison was first made using the original constant values involved in each equation, and then using the recalibrated constant values The results show that when the original constant values were used, larger biases existed for most of the equations for both stations When recalibrated constant values were substituted for the original constant values, six of the seven equations improved for both stations Using locally calibrated parameter values, all seven equations worked well for determining mean seasonal evaporation values For monthly evaporation values, the modified Blaney–Criddle method produced least error for all months for both stations, followed by the Hargreaves and Thornthwaite methods The Linacre, Kharrufa and Hamon methods showed a significant bias in September for both stations With properly determined constant values, the modified Blaney–Criddle, the Hargreaves and Thornthwaite methods can be recommended for estimating evaporation in the study region, as far as temperature-based methods are concerned Copyright © 2001 John Wiley & Sons, Ltd

Clinical Predictors of Major Infections After Cardiac Surgery

Abstract: Background— Major infections are infrequent but important complications of cardiac surgery. Predicting their occurrence is essential for future prevention. The objective of the current investigatio...

The Impact of Categorization With Confirmatory Factor Analysis

Abstract: This study investigated the impact of categorization on confirmatory factor analysis (CFA) parameter estimates, standard errors, and 5 ad hoc fit indexes. Models were generated that represented empirical research situations in terms of model size, sample sizes, and loading values. CFA results obtained from analysis of normally distributed, continuous data were compared to results obtained from 5-category Likert-type data with normal distributions. The ordered categorical data were analyzed using the estimators: Weighted Least Squares (WLS; with polychoric correlation [PC] input) and Maximum Likelihood (ML; with Pearson Product-Moment [PPM] input). ML-PPM-based parameter estimates reported moderate levels of negative bias for all conditions, WLS-PC-based standard errors showed high amounts of bias, especially with a small sample size and moderate loading values. With nonnormally distributed, ordered categorical data, ML-PPM-based parameter estimates, standard errors, and factor intercorrelation showed high...

ETO, a target of t(8;21) in acute leukemia, makes distinct contacts with multiple histone deacetylases and binds mSin3A through its oligomerization domain.

Abstract: t(8;21) and t(16;21) create two fusion proteins, AML-1-ETO and AML-1-MTG16, respectively, which fuse the AML-1 DNA binding domain to putative transcriptional corepressors, ETO and MTG16. Here, we show that distinct domains of ETO contact the mSin3A and N-CoR corepressors and define two binding sites within ETO for each of these corepressors. In addition, of eight histone deacetylases (HDACs) tested, only the class I HDACs HDAC-1, HDAC-2, and HDAC-3 bind ETO. However, these HDACs bind ETO through different domains. We also show that the murine homologue of MTG16, ETO-2, is also a transcriptional corepressor that works through a similar but distinct mechanism. Like ETO, ETO-2 interacts with N-CoR, but ETO-2 fails to bind mSin3A. Furthermore, ETO-2 binds HDAC-1, HDAC-2, and HDAC-3 but also interacts with HDAC-6 and HDAC-8. In addition, we show that expression of AML-1-ETO causes disruption of the cell cycle in the G(1) phase. Disruption of the cell cycle required the ability of AML-1-ETO to repress transcription because a mutant of AML-1-ETO, Delta469, which removes the majority of the corepressor binding sites, had no phenotype. Moreover, treatment of AML-1-ETO-expressing cells with trichostatin A, an HDAC inhibitor, restored cell cycle control. Thus, AML-1-ETO makes distinct contacts with multiple HDACs and an HDAC inhibitor biologically inactivates this fusion protein.