Lincoln and the economics of the American dream: The Whig Years, 1832-1854

Thesis (Ph.D.)--Boston University.The first decade of Lincoln's political life centered around questions of economics, and his interst in these matters remained strong throughout the entire period under consideration. Although Lincoln was not an original thinker in the field of political economy, he did develop firm opinions based on his conception of the American dream of a mobile society, and on the whole, reflecting the views of Henry Clay and the Whig party. He read some of the economists of his time, Francis Wayland and Henry C. Carey for example, but his knowledge of economic theory came mostly second hand from the Congressional Globe, Horace Greeley's Whig Almanac, and the news papers such as the National Intelligencer or the New York Tribune. The western lawyer was not interested in what appeared to him to be abstract theories, but he made a successful effort to master the major economic questions of ante-bellum America. [TRUNCATED

Distribuované dolovanie dát a dátový sklad

Tento článok popisuje distribuované dolovanie dát z dátového skladu. Sú tu diskutované problémy a vývoj distribuovaného dolovania dát v priemeslných podmínkách. Diskutujeme o problémoch učenia sa z distribuovaných dát– algoritmus rozhodovacieho stromu.This article deals briefly about distributed data mining in data warehouse. It further considers the possibilities of applications under industrial conditions, perhaps in connection with modifications of some Distributed Decision Tree Algorithm

CoNSEnsX: an ensemble view of protein structures and NMR-derived experimental data

<p>Abstract</p> <p>Background</p> <p>In conjunction with the recognition of the functional role of internal dynamics of proteins at various timescales, there is an emerging use of dynamic structural ensembles instead of individual conformers. These ensembles are usually substantially more diverse than conventional NMR ensembles and eliminate the expectation that a single conformer should fulfill all NMR parameters originating from 10¹⁶- 10¹⁷molecules in the sample tube. Thus, the accuracy of dynamic conformational ensembles should be evaluated differently to that of single conformers.</p> <p>Results</p> <p>We constructed the web application CoNSEnsX (Consistency of NMR-derived Structural Ensembles with eXperimental data) allowing fast, simple and convenient assessment of the correspondence of the ensemble as a whole with diverse independent NMR parameters available. We have chosen different ensembles of three proteins, human ubiquitin, a small protease inhibitor and a disordered subunit of cGMP phosphodiesterase 5/6 for detailed evaluation and demonstration of the capabilities of the CoNSEnsX approach.</p> <p>Conclusions</p> <p>Our results present a new conceptual method for the evaluation of dynamic conformational ensembles resulting from NMR structure determination. The designed CoNSEnsX approach gives a complete evaluation of these ensembles and is freely available as a web service at <url>http://consensx.chem.elte.hu</url>.</p

Author Correction: Identification of a novel cAMP dependent protein kinase A phosphorylation site on the human cardiac calcium channel

The original version of this Article contained a typographical error in the spelling of the author A. Harvey Millar, which was incorrectly given as Harvey A. Millar. This has now been corrected in the PDF and HTML versions of the Article and in the Supplementary Information

Broad metabolic sensitivity profiling of a prototrophic yeast deletion collection

Background: Genome-wide sensitivity screens in yeast have been immensely popular following the construction of a collection of deletion mutants of non-essential genes. However, the auxotrophic markers in this collection preclude experiments on minimal growth medium, one of the most informative metabolic environments. Here we present quantitative growth analysis for mutants in all 4,772 non-essential genes from our prototrophic deletion collection across a large set of metabolic conditions. Results: The complete collection was grown in environments consisting of one of four possible carbon sources paired with one of seven nitrogen sources, for a total of 28 different well-defined metabolic environments. The relative contributions to mutants' fitness of each carbon and nitrogen source were determined using multivariate statistical methods. The mutant profiling recovered known and novel genes specific to the processing of nutrients and accurately predicted functional relationships, especially for metabolic functions. A benchmark of genome-scale metabolic network modeling is also given to demonstrate the level of agreement between current in silico predictions and hitherto unavailable experimental data. Conclusions: These data address a fundamental deficiency in our understanding of the model eukaryote Saccharomyces cerevisiae and its response to the most basic of environments. While choice of carbon source has the greatest impact on cell growth, specific effects due to nitrogen source and interactions between the nutrients are frequent. We demonstrate utility in characterizing genes of unknown function and illustrate how these data can be integrated with other whole-genome screens to interpret similarities between seemingly diverse perturbation types