Analysis Of Metric Data Research Articles

Integrative taxonomy of the southernmost tucu-tucus in the world: differentiation of the nominal forms associated with Ctenomys magellanicus Bennett, 1836 (Rodentia, Hystricomorpha, Ctenomyidae)

We reviewed the alpha taxonomy of the genus Ctenomys Blainville, 1826 in southernmost South America, with emphasis on those nominal forms previously associated with C. magellanicus Bennett, 1836. We integrate distinct lines of evidence, including variation of mtDNA sequences, and the assessment of quantitative and qualitative traits of skins and skulls; when available, karyotypic data was also considered. Phylogenetic analysis of molecular markers shows low levels of divergence among specimens from southern South American mainland and the island of Tierra del Fuego (ca. 0.4%). This evidence plus the results of the multivariate analysis of metric data suggest that the nominal forms C. colburni J. A. Allen, 1903, C. fueginus Philippi, 1880, C. osgoodi J. A. Allen, 1905, C. m. dicki Osgood, 1943, and C. m. obscurus Texera, 1975 are subjective junior synonyms of C. magellanicus. In addition, we reviewed the status of C. fodax Thomas, 1910, a nominal form that have been alternatively considered as a valid species or related to C. magellanicus by previous researchers. Based on quantitative and qualitative morphological traits, we preliminarily regard C. fodax at the species level while citing it for the first time to Chile.

An Australasian test of the recent African origin theory using the WLH-50 calvarium

This analysis investigates the ancestry of a single modern human specimen from Australia, WLH-50 (Thorneet al ., in preparation; Webb, 1989). Evaluating its ancestry is important to our understanding of modern human origins in Australasia because the prevailing models of human origins make different predictions for the ancestry of this specimen, and others like it. Some authors believe in the validity of a complete replacement theory and propose that modern humans in Australasia descended solely from earlier modern human populations found in Late Pleistocene Africa and the Levant. These ancestral modern populations are believed to have completely replaced other archaic human populations, including the Ngandong hominids of Indonesia. According to this recent African origin theory, the archaic humans from Indonesia are classified as Homo erectus, a different evolutionary species that could not have contributed to the ancestry of modern Australasians. Therefore this theory of complete replacement makes clear predictions concerning the ancestry of the specimen WLH-50. We tested these predictions using two methods: a discriminant analysis of metric data for three samples that are potential ancestors of WLH-50 (Ngandong, Late Pleistocene Africans, Levant hominids from Skhul and Qafzeh) and a pairwise difference analysis of nonmetric data for individuals within these samples. The results of these procedures provide an unambiguous refutation of a model of complete replacement within this region, and indicate that the Ngandong hominids or a population like them may have contributed significantly to the ancestry of WLH-50. We therefore contend that Ngandong hominids should be classified within the evolutionary species, Homo sapiens. The Multiregional model of human evolution has the expectation that Australasian ancestry is in all three of the potentially ancestral groups and best explains modern Australasian origins.

Skeletal material from the house of C iulius polybius in Pompeii, 79 AD

Among partly mixed collection of skeletal remains excavated in the house called “Casa di Polibio” skeletons of 13 individuals were re-assembled and identified. There were 3 adult males, 3 adult females of various ages, 4 boys, 1 girl, child of unknown sex and one foetus in the last month of intrauterine life. The foetus was associated with the skeleton of a young (16–18 years) female whose bones are stained green-blue-black, probably by the jewellery or costume. Craniometric, odontometric, and osteometric data, together with reconstruction of stature are presented. Besides a mild case of torticollis in a young adult male no special pathologies were found. Enamel hypoplasia was frequent (87.5%). Presence of dental calculus on teeth of practically all individuals, frequent dental caries (63.6% of individuals), and moderate tooth wear indicate diet of well-cooked foods rich in carbohydrates. On grounds of age and biological characteristics it may be suggested that the group included older parents, their children, eldest son and his pregnant young wife plus a pair of domestics. Other possibilities include three adult couples: grandparents, parents and newlywed eldest daughter and her husband. Final resolution of family relationships must await full analysis of metric data and the DNA analysis. It seems that the group is representative of a Pompeian household: many children born approximately 3 years apart, early age at marriage, good food, relative freedom from disfiguring disease.

A guidebook and a spreadsheet tool for a corporate metrics program

A metrics guidebook and a spreadsheet tool have been developed at the Loral Software Productivity Laboratory as a start -up kit to enable Loral divisions and projects to implement the Loral corporate metrics program. The metrics guidebook defines a standard set of software metrics and specifies procedures for collection and analysis of metrics data. Guidelines are provided for revising schedules, resource allocations, and project procedures in light of the analysis of metrics data. The corporate-, division-, and project-level roles and responsibilities for metrics activities are discussed. The spreadsheet tool provides automated support for metrics generation, collection, graphical representation, and analysis

The Adequacy of Non-Metric Data in Geology: Tests Using a Divisive-Omnithetic Clustering Technique

In many geological investigations precise metric data may be unnecessary because of the relatively imprecise ways in which they are analyzed and interpreted. Here the hypothesis is tested that many results obtained by numerical analysis of metric data might equally well have come from non-metric (binary) versions of the same data sets. Six multivariate metric data sets representing a diverse suite of potential applications were selected from the literature, and each reduced to binary form by using the mean value of each attribute as its presence threshold. A divisive-omnithetic clustering technique (dissimilarity analysis) was applied to each set to give hierarchical classifications having many theoretically optimal properties. The agreement between the results of this approach and classifications based on the original metric data was reasonable in all cases, both in a qualitative and quantitative sense. Thus for most similar studies it is probably entirely adequate to rely on non-metric data, implying a considerable reduction of effort during data collection.