Tectono-stratigraphic basin evolution in the Tehuacán-Mixteca highlands, south western México.

The morphological evolution of the basins in the Sierra Madre del Sur (SMS), southern México is poorly understood. This work explains for the first time the geomorphological development of the tectonic, fluvially-interconnected SMS basins named San Juan Raya (SJRb) and Zapotitlán (ZAPb). The evolution of the SJRb and ZAPb are analysed within the context of the transformations of the well-studied Tehuacán basin (TEHb).

Reduction of No Reflow with a Loading Dose of Atorvastatin before Primary Angioplasty in Patients with Acute ST Myocardial Infarction.

Background: No reflow defined as an altered myocardial reperfusion and failure at microvascular level is a frequent complication in acute myocardial infarction that attenuates beneficial effect of reperfusion therapy leading to poor outcomes. There is not enough evidence to support that previous use of statins improves coronary flow in patients undergoing primary percutaneous coronary intervention (PCI).

Aim Of Study: To determine if a loading dose of 80 mg of atorvastatin before primary angioplasty reduces the frequency of no reflow, hs-CRP, IL6 intracoronary levels, and major combined cardiovascular events at 30 d.

Discrete classification technique applied to TV advertisements liking recognition system based on low-cost EEG headsets.

Background: In this paper a new approach is applied to the area of marketing research. The aim of this paper is to recognize how brain activity responds during the visualization of short video advertisements using discrete classification techniques. By means of low cost electroencephalography devices (EEG), the activation level of some brain regions have been studied while the ads are shown to users.

Low energy physical activity recognition system on smartphones.

An innovative approach to physical activity recognition based on the use of discrete variables obtained from accelerometer sensors is presented. The system first performs a discretization process for each variable, which allows efficient recognition of activities performed by users using as little energy as possible. To this end, an innovative discretization and classification technique is presented based on the χ2 distribution.