1,721,163 research outputs found
A preliminary comparative study of immunological, DNA and microscopic techniques for the species identification of archaeological cremated bone
No full textDetermining the species of origin of cremated fragments of bone and of bone artifacts may be difficult even with modem DNA and protein analysis; the question arises as to whether morphological and metric analyses of the histological structure of burnt bone and artifacts may in some cases be a valid alternative to biomolecular techniques.
We conducted a comparative study between histological, immunological and DNA techniques on degraded and cremated bone samples from Grotta Cappuccini (Neolithic site near Lecce), Pescarzo (Iron Age site near Bergamo), Arsago Seprio and Sesto Calende (prehistiric Golasecca culture site) and bone artifacts from funerary beds found at the Roman site of S. Lorenzo, Cremona. Adequate positive and negative controls had previously been tested.
Samples were extracted and tested in order to verify the specific osteon pattern and metrics (with NIH imaging software), survival of the serum protein albumin (by ELISA), and survival of region V of human mitochondrial DNA (by PCR).
We also performed a comparative histological study between burnt and non-burnt bone from different species. Results show how in all cases the histological structure was able to indicate (with different ranges of error according to the species) the species of origin, whereas both protein and DNA analysis gave negative results, suggesting that older histological techniques, accompanied by new metric and statistical analyses, may still be of some use in determining the species origin of burnt fragments of bone
Politiche di facilitazione all'innovazione nelle piccole e medie imprese
No full textIl capitolo descrive le modalità di sviluppo dell'innovazione nelle piccole impres
Towards a framework for mining and analyzing spatio-temporal datasets
No full textHigh resolution spatio-temporal datasets are being collected every day to record the behavior of several natural phenomena. However, data mining techniques are needed to extract relevant patterns from very large repositories and reveal spatial and temporal patterns in the behavior of these phenomena. To this aim, we propose a system for mining data with spatial and temporal characteristics, and for visualizing and interpreting the results. Within this system, we have developed two complementary 3D visualization environments, one based on Google Earth and one relying on a Java3D graphical user interface. In this paper, we illustrate the main features of the system we have developed and report on the main results we have obtained by analyzing the Hurricane Isabel dataset
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