Interest on reserves and daylight credit

Banks and banking ; Interest

The Quest for Productivity Growth in Agriculture and Manufacturing

We develop a theory to explain the transition from stagnation to modern growth. We focus on the forces that shaped the evolution of total factor productivity in agriculture and manufacturing across history. More specifically, we build a multisector model of endogenous technical-change and economic growth. We consider an expanding-variety setup with rising labor specialization and two different R&D technologies, one for agriculture and another for manufacturing. As a consequence, total factor productivity in the model can increase via two different channels. First, population growth allows larger levels of specialization of land and labor in the economy that bring efficiency gains. This type of productivity improvement is capital saving, but can not generate sustained growth. Technical change is also possible by investing in R&D. Unlike specialization, new technologies generated in this way are land and labor augmenting, and are the key to modern growth. In the model, the economy has not incentives to invest in R&D until a minimum knowledge base is available to researchers. This is in line with ideas contained in Mokyr (2005). To make possible the accumulation of this minimum knowledge base, we assume that learning-by-doing is the implicit underlying force that leads to specialization. However, land and labor specialization is based on knowledge whose nature differs in agriculture and in manufacturing. More specifically, whereas this knowledge is farm-specific in agriculture, mainly concern with the acquisition of uncodified information about local conditions of soil and whether, specialization in manufacturing is the result of general knowledge, mainly codified, that contributes at a larger extent to the knowledge base.stagnation, modern growth, specialization, learning-by-doing, R&D, Knowledge base

The application of amino acid racemization in the acid soluble fraction of enamel to the estimation of the age of human teeth

Estimation of age-at-death for skeletonised forensic remains is one of the most significant problems in forensic anthropology. The majority of existing morphological and histological techniques are highly inaccurate, and show a bias towards underestimating the age of older individuals. One technique which has been successful in forensic age estimation is amino acid racemization in dentine. However, this method cannot be used on remains where the post-mortem interval is greater than 20 years. An alternative approach is to measure amino acid racemization in dental enamel, which is believed to be more resistant to change post-mortem. The extent of amino acid racemization in the acid soluble fraction of the enamel proteins was determined for modem known age teeth. A strong correlation was observed between the age of the tooth and the extent of racemization. No systematic bias in the direction of age estimation errors was detected. For the majority of teeth analyzed, the presence of dental caries did not affect the results obtained. In a minority of cases, carious teeth showed a higher level of racemization than would be expected given the age of the individual. These results indicate that amino acid racemization in enamel has the potential to be used in age estimation of skeletal remains. (C) 2007 Elsevier Ireland Ltd. All rights reserved

Malcolm M. Champlin and Charles R. Ringo (June 26, 1971)

Judge Malcom M. Champlin was one of Richard Nixon\u27s close friends and knew the president in his senatorial days

Structural and Functional Properties of the H and M Subunits of Lactic Dehydrogenases

Structural and functional properties of H and M protein subunits of lactic dehydrogenase

Phenotypic evolution and hidden speciation in Candidula unifasciata ssp. (Helicellinae, Gastropoda) inferred by 16S variation and quantitative shell traits

In an effort to link quantitative morphometric information with molecular data on the population level, we have analysed 19 populations of the conchologically variable land snail Candidula unifasciata from across the species range for variation in quantitative shell traits and at the mitochondrial 16S ribosomal (r)DNA locus. In genetic analysis, including 21 additional populations, we observed two fundamental haplotype clades with an average pairwise sequence divergence of 0.209 ± 0.009 between clades compared to 0.017 ± 0.012 within clades, suggesting the presence of two different evolutionary lineages. Integrating additional shell material from the Senckenberg Malacological Collection, a highly significant discriminant analysis on the morphological shell traits with fundamental haplotype clades as grouping variable suggested that the less frequent haplotype corresponds to the described subspecies C. u. rugosiuscula, which we propose to regard as a distinct species. Both taxa were highly subdivided genetically (FST = 0.648 and 0.777 P < 0.001). This was contrasted by the partition of morphological variance, where only 29.6% and 21.9% of the variance were distributed among populations, respectively. In C. unifasciata, no significant association between population pairwise FST estimates and corresponding morphological fixation indices could be detected, indicating independent evolution of the two character sets. Partial least square analysis of environmental factors against shell trait variables in C. u. unifasciata revealed significant correlations between environmental factors and certain quantitative shell traits, whose potential adaptational values are discussed