Grouping Ceramic Variability with pXRF for Pottery Trade and Trends in Early Medieval Southern Tuscany. Preliminary Results from the Vetricella Case Study (Grosseto, Italy)

The characterization of archaeological ceramics according to their chemical composition provides essential information about the production and distribution of specific pottery wares. If a correlation between compositional patterns and local production centers is assumed, pottery manufacturing and trade and, more generally, economic, political, as well as cultural relations between communities and regions can be investigated. In the present paper, the combined application of portable XRF and statistical analysis to the investigation of a large repertory of ceramic fragments allowed us to group the assemblage by identifying geochemical clusters. The results from the chemical and statistical analysis were then compared with reference ceramic samples from the same area, as well as with macroscopic and petrographic observations to confirm, coalesce or sub-divide putative sub-divisions. The study of 141 samples from different sites located within a wide area spanning across the Colline Metallifere and the coast (Monterotondo Marittimo, Roccastrada, Donoratico, and Vetricella) provided new clues for a new interpretive archaeological framework that suggests that there was a well-defined organization of pottery manufacturing and circulation across southern Tuscany during the early medieval period.

Download Full-text

Global Profiling and Novel Structure Discovery Using Multiple Neutral Loss/Precursor Ion Scanning Combined with Substructure Recognition and Statistical Analysis (MNPSS): Characterization of Terpene-Conjugated Curcuminoids in Curcuma longa as a Case Study

Analytical Chemistry ◽

10.1021/acs.analchem.5b02729 ◽

2015 ◽

Vol 88 (1) ◽

pp. 703-710 ◽

Cited By ~ 39

Author(s):

Xue Qiao ◽

Xiong-hao Lin ◽

Shuai Ji ◽

Zheng-xiang Zhang ◽

Tao Bo ◽

...

Keyword(s):

Statistical Analysis ◽

Curcuma Longa ◽

Neutral Loss ◽

Novel Structure ◽

Precursor Ion Scanning

Download Full-text

Discovering Hidden Concepts in Predictive Models for Texts' Polarization

International Journal of Data Warehousing and Mining ◽

10.4018/ijdwm.2015100102 ◽

2015 ◽

Vol 11 (4) ◽

pp. 29-48 ◽

Cited By ~ 2

Author(s):

Caterina Liberati ◽

Furio Camillo

Keyword(s):

Customer Relationship Management ◽

Predictive Models ◽

Classification Accuracy ◽

Relationship Management ◽

Customer Relationship ◽

Statistical Characterization ◽

Combined Application ◽

Marketing Actions

The growth of Internet and the information technology has generated big changes in subjects' communication, which, nowadays, occurs through social media or via thematic forums. This challenges the traditional notion of Customer Relationship Management (CRM) and pushes businesses to prompt and accurate understanding of sentiments expressed, in order to address their marketing actions. In this paper, the authors propose a combined application of a supervised Sentiment Analysis (SA) with a probabilistic kernel discriminant to provide a robust classifier of texts polarization. The partition obtained is also described by means of a statistical characterization of the texts. Such an approach is very promising, not only in terms of classification accuracy, but also in terms of knowledge extraction. A real case study is illustrated in order to test and show the effectiveness of the proposed strategy.

Download Full-text

Predictive modeling of land-use opportunities in the Early Medieval Period: A case study from Lauchheim, southern Germany

Journal of Archaeological Science Reports ◽

10.1016/j.jasrep.2018.05.020 ◽

2018 ◽

Vol 20 ◽

pp. 382-389 ◽

Cited By ~ 1

Author(s):

Michael Kempf

Keyword(s):

Land Use ◽

Predictive Modeling ◽

Medieval Period ◽

Early Medieval ◽

Southern Germany ◽

Early Medieval Period

Download Full-text

Multivariate statistical analysis supporting the hydrochemical characterization of groundwater and surface water: a case study in northern Italy

Rendiconti online della Società Geologica Italiana ◽

10.3301/rol.2019.17 ◽

2019 ◽

Vol 47 ◽

pp. 90-96 ◽

Cited By ~ 2

Author(s):

Marco Rotiroti ◽

Chiara Zanotti ◽

Letizia Fumagalli ◽

Sara Taviani ◽

Gennaro A. Stefania ◽

...

Keyword(s):

Statistical Analysis ◽

Surface Water ◽

Multivariate Statistical Analysis ◽

Northern Italy ◽

Multivariate Statistical ◽

Hydrochemical Characterization

Download Full-text

Construction of plastic contact deformation maps on ceramics: a case study on aluminum nitride

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100165641 ◽

1996 ◽

Vol 54 ◽

pp. 636-637

Author(s):

D. L. Callahan

Keyword(s):

Plastic Deformation ◽

Aluminum Nitride ◽

Mechanical Response ◽

Three Dimensional ◽

Bright Field Image ◽

Perfectly Plastic ◽

Contrast Analysis ◽

Deformation Patterns

Modern polishing, precision machining and microindentation techniques allow the processing and mechanical characterization of ceramics at nanometric scales and within entirely plastic deformation regimes. The mechanical response of most ceramics to such highly constrained contact is not predictable from macroscopic properties and the microstructural deformation patterns have proven difficult to characterize by the application of any individual technique. In this study, TEM techniques of contrast analysis and CBED are combined with stereographic analysis to construct a three-dimensional microstructure deformation map of the surface of a perfectly plastic microindentation on macroscopically brittle aluminum nitride.The bright field image in Figure 1 shows a lg Vickers microindentation contained within a single AlN grain far from any boundaries. High densities of dislocations are evident, particularly near facet edges but are not individually resolvable. The prominent bend contours also indicate the severity of plastic deformation. Figure 2 is a selected area diffraction pattern covering the entire indentation area.

Download Full-text