Nitrous oxide fluxes and denitrification in created wetlands receiving hydrological pulses

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Regularization Methods for Fitting Linear Models with Small Sample Sizes: Fitting the Lasso Estimator using R

Researchers and data analysts are sometimes faced with the problem of very small samples, where the number of variables approaches or exceeds the overall sample size; i.e. high dimensional data. In such cases, standard statistical models such as regression or analysis of variance cannot be used, either because the resulting parameter estimates exhibit very high variance and can therefore not be trusted, or because the statistical algorithm cannot converge on parameter estimates at all. There exist an alternative set of model estimation procedures, known collectively as regularization methods, which can be used in such circumstances, and which have been shown through simulation research to yield accurate parameter estimates. The purpose of this paper is to describe, for those unfamiliar with them, the most popular of these regularization methods, the lasso, and to demonstrate its use on an actual high dimensional dataset involving adults with autism, using the R software language. Results of analyses involving relating measures of executive functioning with a full scale intelligence test score are presented, and implications of using these models are discussed. Accessed 4,969 times on https://pareonline.net from May 08, 2016 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right

Biogeochemical patterns of created riparian wetlands: Twelfth-year results (2005)

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University Practice As A Key Factor In Increasing The Sensitivity To Educational Inclusion

The present article is based on research carried out in three universities, the University Center South (Cusur, Mexico), Jaen and Cuenca (Spain) on the influence of university practice in the development of sensitivity towards inclusive education in our students the first years of the Diploma in Education, using the subject "pedagogical basis of special education" and the equivalent Cusur and Cuenca. With the idea that the practices of the subject are the ideal time to promote positive attitudes towards inclusive education a questionnaire to collect data prior to the four month long activities focused on the presentation of case studies and program auditions radio "A Light in the Chest" which airs on Ciudad Guzman (Mexico) directed by Professor De Luna and which revolves around the inclusion. When the semester ended he turned to pass the quiz to test variations in sensitivity to educational inclusion or not been able to develop our university students

Net primary productivity of macrophyte communities in the experimental marshes after eleven growing seasons

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A foundation for provitamin A biofortification of maize: genome-wide association and genomic prediction models of carotenoid levels.

Efforts are underway for development of crops with improved levels of provitamin A carotenoids to help combat dietary vitamin A deficiency. As a global staple crop with considerable variation in kernel carotenoid composition, maize (Zea mays L.) could have a widespread impact. We performed a genome-wide association study (GWAS) of quantified seed carotenoids across a panel of maize inbreds ranging from light yellow to dark orange in grain color to identify some of the key genes controlling maize grain carotenoid composition. Significant associations at the genome-wide level were detected within the coding regions of zep1 and lut1, carotenoid biosynthetic genes not previously shown to impact grain carotenoid composition in association studies, as well as within previously associated lcyE and crtRB1 genes. We leveraged existing biochemical and genomic information to identify 58 a priori candidate genes relevant to the biosynthesis and retention of carotenoids in maize to test in a pathway-level analysis. This revealed dxs2 and lut5, genes not previously associated with kernel carotenoids. In genomic prediction models, use of markers that targeted a small set of quantitative trait loci associated with carotenoid levels in prior linkage studies were as effective as genome-wide markers for predicting carotenoid traits. Based on GWAS, pathway-level analysis, and genomic prediction studies, we outline a flexible strategy involving use of a small number of genes that can be selected for rapid conversion of elite white grain germplasm, with minimal amounts of carotenoids, to orange grain versions containing high levels of provitamin A

N2O fluxes in created riparian wetlands receiving hydrologic pulses in central Ohio

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