The Experts below are selected from a list of 52869 Experts worldwide ranked by ideXlab platform
Niels Christian Taubert - One of the best experts on this subject based on the ideXlab platform.
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who pays comparing cost sharing models for a gold Open Access Publication environment
Journal of Library Administration, 2020Co-Authors: Andre Bruns, Christine Rimmert, Niels Christian TaubertAbstract:The article analyzes possible financial effects of Gold Open Access based on article processing charges. It responds to the question whether different cost sharing models lead to the same or differ...
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who pays comparing cost sharing models for a gold Open Access Publication environment
arXiv: Digital Libraries, 2020Co-Authors: Andre Bruns, Christine Rimmert, Niels Christian TaubertAbstract:The article focuses on possible financial effects of the transformation towards Gold Open Access publishing based on article processing charges and studies an aspect that has so far been overlooked: Do possible cost sharing models lead to the same overall expenses or do they result in different financial burdens for the research institutions involved? It takes the current state of Gold OA publishing as a starting point, develops five possible models of attributing costs based on different author roles, number of authors and author-address-combinations. The analysis of the distributional effects of the application of the different models shows that all models result in similar expenditures for the overwhelming majority of institutions. Still, there are some research institutions where the difference between most and least expensive model results in a considerable amount of money. Given that the model calculation only considers Publications that are Open Access and where all authors come from Germany, it is likely that different cost sharing models will become an issue in the debate on how to shoulder a possible large scale transformation towards Open Access based on Publication fees.
Janet Alverson - One of the best experts on this subject based on the ideXlab platform.
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prion gene prnp haplotype variation in united states goat breeds Open Access Publication
Genetics Selection Evolution, 2008Co-Authors: Katherine I Orourke, Janet Alverson, D. F. Waldron, Joan D Rowe, Stephen N. White, Lynn M HerrmannhoesingAbstract:Scrapie eradication efforts cost 18 million dollars annually in the United States and rely heavily upon PRNP genotyping of sheep. Genetic resistance might reduce goat scrapie and limit the risk of goats serving as a scrapie reservoir, so PRNP coding sequences were examined from 446 goats of 10 breeds, 8 of which had not been previously examined at PRNP. The 10 observed alleles were all related to one of two central haplotypes by a single amino acid substitution. At least five of these alleles (M142, R143, S146, H154, and K222) have been associated with increased incubation time or decreased odds of scrapie. To the best of our knowledge, neither S146 nor K222 has been found in any goats with scrapie, though further evaluation will be required to demonstrate true resistance. S146 was more common, present in several breeds at widely varying frequencies, while K222 was observed only in two dairy breeds at low frequency. Overall, this study provides frequency data on PRNP alleles in US goats, shows the pattern of relationships between haplotypes, and demonstrates segregation of multiple scrapieassociated alleles in several breeds not examined before at PRNP.
Vincent Ducrocq - One of the best experts on this subject based on the ideXlab platform.
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An approximate multitrait model for genetic evaluation in dairy cattle with a robust estimation of genetic trends (Open Access Publication)
Genetics Selection Evolution, 2007Co-Authors: Jan Lassen, Morten Kargo Sørensen, Per Madsen, Vincent DucrocqAbstract:In a stochastic simulation study of a dairy cattle population three multitrait models for estimation of genetic parameters and prediction of breeding values were compared. The first model was an approximate multitrait model using a two-step procedure. The first step was a single trait model for all traits. The solutions for fixed effects from these analyses were subtracted from the phenotypes. A multitrait model only containing an overall mean, an additive genetic and a residual term was applied on these preadjusted data. The second model was similar to the first model, but the multitrait model also contained a year effect. The third model was a full multitrait model. Genetic trends for total merit and for the individual traits in the breeding goal were compared for the three scenarios to rank the models. The full multitrait model gave the highest genetic response, but was not significantly better than the approximate multitrait model including a year effect. The inclusion of a year effect into the second step of the approximate multitrait model significantly improved the genetic trend for total merit. In this study, estimation of genetic parameters for breeding value estimation using models corresponding to the ones used for prediction of breeding values increased the accuracy on the breeding values and thereby the genetic progress.
Henry C Chueh - One of the best experts on this subject based on the ideXlab platform.
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an Open source model for Open Access journal Publication
American Medical Informatics Association Annual Symposium, 2005Co-Authors: Carl Blesius, Ana Holzbach, Anthony C Huntley, Michael A. Williams, Henry C ChuehAbstract:: We describe an electronic journal Publication infrastructure that allows a flexible Publication workflow, academic exchange around different forms of user submissions, and the exchange of articles between publishers and archives using a common XML based standard. This web-based application is implemented on a freely available Open source software stack. This Publication demonstrates the Dermatology Online Journal's use of the platform for non-biased independent Open Access Publication.
Tom Druet - One of the best experts on this subject based on the ideXlab platform.
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estimation by simulation of the efficiency of the french marker assisted selection program in dairy cattle Open Access Publication
Genetics Selection Evolution, 2008Co-Authors: Francois Guillaume, Sebastien Fritz, Didier Boichard, Tom DruetAbstract:The efficiency of the French marker-assisted selection (MAS) was estimated by a simulation study. The data files of two different time periods were used: April 2004 and 2006. The simulation method used the structure of the existing French MAS: same pedigree, same marker genotypes and same animals with records. The program simulated breeding values and new records based on this existing structure and knowledge on the QTL used in MAS (variance and frequency). Reliabilities of genetic values of young animals (less than one year old) obtained with and without marker information were compared to assess the efficiency of MAS for evaluation of milk, fat and protein yields and fat and protein contents. Mean gains of reliability ranged from 0.015 to 0.094 and from 0.038 to 0.114 in 2004 and 2006, respectively. The larger number of animals genotyped and the use of a new set of genetic markers can explain the improvement of MAS reliability from 2004 to 2006. This improvement was also observed by analysis of information content for young candidates. The gain of MAS reliability with respect to classical selection was larger for sons of sires with genotyped progeny daughters with records. Finally, it was shown that when superiority of MAS over classical selection was estimated with daughter yield deviations obtained after progeny test instead of true breeding values, the gain was underestimated.
