optically stimulated luminescence (osl) is currently one of the most important methods for dating minerals during the quaternary. this method plays an important role in studies related to paleoseismology and tectonic activities, particularly in arid and semi- arid regions. osl dates the last exposure to sunlight; therefore, it can directly find the ages of the coseismic or post seismic evidence...

The Galería de las Estatuas is a Mousterian site located within the Cueva Mayor-Cueva del Silo karstic system at Sierra Atapuerca (Burgos, Spain). This characterised by an important Upper Pleistocene stratigraphic sequence in which large number of lithic artefacts exhibiting clear affinities and rich assemblage faunal remains have been found. Additionally, this has yielded foot phalanx Neandert...

Optically stimulated luminescence (OSL) signals from quartz can be used to determine when sedimentary archives were deposited. OSL dating uses the accumulation of energy stored in a crystal structure measure time. This is absorbed ionizing radiation, and released (reset) by heat or daylight. The total specific (dose) since last resetting measured using OSL, divided rate storage (dose rate) give...

As a result of the risk that radiological and nuclear disasters accidents will expose membersof public to unsafe amounts radiation, numerous emergency dosimetry approaches for triage have beenthoroughly explored. The current methods retrospective encompass variety biological, physical, andchemical procedures related radiation exposure human body. Additional items might be useful asfortuitous do...

SETSTOCH is a tool for linking Algebraic Modeling Languages (AMLs) with Specialized Stochastic Programming Solvers (SSPSs). Its main role is to retrieve from the AML a dynamically ordered core model (baseline scenario) that is then sent automatically to the SSPS. The user is then able to take full advantage of speci c SSPS features. The current implementation of SETSTOCH enables to access the S...

This document shows how to model two-stage stochastic linear programming problems in a GAMS environment. We will demonstrate using a small example, how GAMS can be used to formulate and solve this model as a large LP or using specialized stochastic solvers such as OSL-SE and DECIS. Finally a tailored implementation of the Benders Decomposition algorithm written in GAMS is used to solve the model.