Obliteration study of lambdatic and obelionic region sutures in ruminant, carnivores and hominids

The morphology of Orce cranial fragment VM-0 is contrasted with the fronto-parietal region in artiodactyls, and the obelionic region in carnivores and primates including hominids. Sutural development at obelion is compared in those taxa throughout the growth period up to the onset of sutural obliteration, and ontogenetic differences between non-primates and primates lead us to conclude that the configuration in VM-0 more resembles that found in hominids than in artiodactyls or carnivores. Moreover, cranial capacity for VM-0 is estimated at >470cm3, comparable to Plio Pleistocene hominids, but greater than in young equids.La morfología del fragmento cranial de Orce (VM-0) se contrasta con la región fronto-parietal de los artiodáctilos y con la región obélica de los carnívoros y primates incluyendo los homínidos. Se compara en estos taxones, el desarrollo de las suturas en esta región a lo largo del periodo de crecimiento hasta que ocurre la obliteración de las mismas. Las diferencias ontogenéticas entre no primates y primates nos permiten concluir que la anatomía de VM-0 es más próxima a los hominidos que a la de los artiodáctilos y carnívoros. Se estima que la capacidad craneana de VM-0 tiene que ser > 470 cm3, comparable a la de los homínidos del Plio-Pleistoceno y mayor que la de los équidos juveniles

Muons tomography applied to geosciences and volcanology

Imaging the inner part of large geological targets is an important issue in geosciences with various applications. Dif- ferent approaches already exist (e.g. gravimetry, electrical tomography) that give access to a wide range of informations but with identified limitations or drawbacks (e.g. intrinsic ambiguity of the inverse problem, time consuming deployment of sensors over large distances). Here we present an alternative and complementary tomography method based on the measurement of the cosmic muons flux attenuation through the geological structures. We detail the basics of this muon tomography with a special emphasis on the photo-active detectors.Comment: Invited talk at the 6th conference on New Developments In Photodetection (NDIP'11), Lyon-France, July 4-8, 2011; Nuclear Instruments and Methods in Physics Research Section A, 201

CPEB4 (cytoplasmic polyadenylation element binding protein 4)

Review on CPEB4, with data on DNA/RNA, on the protein encoded and where the gene is implicated

Markov property of Lagrangian turbulence

Based on direct numerical simulations with point-like inertial particles transported by homogeneous and isotropic turbulent flows, we present evidence for the existence of Markov property in Lagrangian turbulence. We show that the Markov property is valid for a finite step size larger than a Stokes number-dependent Einstein-Markov memory length. This enables the description of multi-scale statistics of Lagrangian particles by Fokker-Planck equations, which can be embedded in an interdisciplinary approach linking the statistical description of turbulence with fluctuation theorems of non-equilibrium stochastic thermodynamics and fluctuation theorems, and local flow structures.Comment: submitted to PRL, 5 pages, 4 figure

Practical considerations for the design of an aeroelastic energy harvester

Achieving the optimal balance between weight and energy consumption during flight mission remains a challenge for the design of very efficient high altitude long endurance aircrafts (HALE). These aircraft are intended to have flight missions that can range from 30 to 90 days. Composite materials are used to provide the structural integrity of the aircraft while minimizing its weight. Typically composites are used in long and slender structural elements of the HALE and are the main drivers of dynamic aeroelastic instabilities, even at low speed. This is due to the higher structural flexibility they introduce. Therefore, in order to respond to the demand of HALE aircrafts of having a wider amount of energy on board, without any substantial weight penalization, an experimental piezoelectric wing have been designed with the aim of exploiting aeroelastic instabilities or any other type of induced vibrations to generate electric energy directly on board. The numerical model of the piezoelectric wing, presented in this paper, is built starting from the assumptions of the 3D Euler-Bernoulli beam theory and of the strip theory for the aerodynamic loads. A preliminary sensitivity study was carried out, over the flutter solutions, for the identification of a suitable experimental prototype, to be used for modal and wind tunnel tests. The test campaign showed a good agreement between numerical and experiments results, highlighting, above all, the encouraging results in terms of energy harvesting and in terms of the exploitation potential of the piezoelectric design in the dynamic of structures

On the tilt of the Earth's polar axis (climat): Some 'impressionist' remarks

In this lengthy letter, we wanted to discuss the concept of climate based on definitions established for over a century and direct observations that we have been collecting for more than a century as well. To do this, we present and discuss the remarkably stable maps over time of the various physical parameters that make up the climate corpus: solar temperature, atmospheric pressure, winds, precipitation, temperature anomalies. This impressionistic tableau that we are gradually sketching as our reflection unfolds leads us to the following proposition: What if, as Laplace first proposed in 1799 and later Milankovi\{'}c in 1920, ground temperature were merely a consequence of climate and not a separate parameter of climate in its own right?Comment: 24 pages, 11 Figure

Comparative proteomic analysis of collection and clinical-isolate strains of psudomonas aeruginosa

Comunicaciones a congreso

Anomaly Detection for Diagnosing Failures in a Centrifugal Compressor Train

Predicting machine failures is of the utmost importance in industrial systems as it can turn expensive crashes and repair costs into affordable maintenance costs. To this end, this paper presents preliminary work for detecting failures in a centrifugal compressor train based on sensorial data. We show the detection capabilities of a two-step process consisting of: (1) a preprocessing step to reduce the dimensionality of the input data using Principal Component Analysis, and (2) an anomaly detection step using the Mahalanobis distance to detect anomalous observations on the sensors' data. The experiments using real-world data demonstrate the feasibility of our approach and the ability of the method to detect the failures eight days in advance