Colenis (Carcharodes) compostellae Otero, 1978

Catálogo do Museo de Historia Natural USC. n. inventario 1004

Records of the genus Micrambe Thomson, 1863 (Coleoptera, Cryptophagidae) from Madagascar and Réunion Island

A study on the genus Micrambe Thomson, 1863 (Coleoptera, Cryptophagidae) from Madagascar and Réunion is presented. Six species are hitherto known from these countries: M. apicalis Grouvelle, M. brevitarsis Bruce, M. consors Grouvelle, M. madagascariensis Grouvelle, M. modesta (Grouvelle), and M. reuninensis Lyubarsky. A new species, M. leonardoi sp. n., is formally described from Boorg-Murat, Réunion Island. A key is presented to enable their identification. Micrambe consors Grouvelle previously known only from Congo is reported here for the first time from MadagascarS

On a new species of Micrambe from Africa (Coleoptera, Cryptophagidae)

A new species of Micrambe Thomson, 1863 (Coleoptera, Cryptophagidae), Micrambe camerunensis sp. n. from Cameroon is described and illustrated. No other record of any Cryptophagidae of Cameroon is known. The differential diagnosis is established in relation to a group of other species of the genusS

A new species and a key to the species of Corticarina from Guatemala (Coleoptera, Latridiidae)

A new species of Corticarina Reitter, 1881 (Coleoptera: Latridiidae), Corticarina oscargloriorum sp. n. from Guatemala is described and illustrated. The differential diagnosis is established in relation to a group of other species of the genusS

Modelling potential dependent surface-enhanced raman scattering: electric field and charged cluster dual model

The computation of electrochemical systems is very challenging because of the many variables involved. Among them, the effect of the electrode potential is particularly complex to be introduced in atomistic models. In this work, we propose a model where the surface excess of charge has been modelled with the tetrahedral-like clusters [Ag19]+, [Ag20]0 and [Ag19]-. We then modulate the effect of other surface charges implicitly as an external electric field and correlated a calculated magnitude like the electric charge on the adsorbate with the electrode potential, a purely experimental one. This model is tested with the potential-dependent Surface-Enhanced Raman Scattering (SERS) of pyridine. Namely, we investigated the changes in the Raman shifts and relative intensities due to the potential, and evaluated the different contributions (electromagnetic, charge-transfer) to the SERS spectra. Our preliminary results nicely reproduce the experimental trends and reveal that enhancement factors up to 10 to the 7th are achieved when the charge-transfer state interact with the bright local excitations of the metal cluster

Electric field and charged cluster dual model for Potential Depdendent Surface-Enhanced Raman Spectroscopy

The computation of electrochemical systems is very challenging because of the many variables involved.1 Among them, the effect of the electrode potential is particularly complex to be introduced in atomistic models. In this work, we propose a model where the surface excess of charge has been modelled with the tetrahedral-like clusters [Ag19]+, [Ag20]0 and [Ag19]-. We then modulate the effect of other surface charges implicitly as an external electric field and correlated a calculated magnitude like the electric charge on the adsorbate with the electrode potential, a purely experimental one. This model is tested with the potential-dependent Surface-Enhanced Raman Scattering (SERS) of pyridine. Namely, we investigated the changes in the Raman shifts and relative intensities due to the potential, and evaluated the different contributions (electromagnetic, charge-transfer) to the SERS spectra. Our preliminary results nicely reproduce the experimental trends and reveal that enhancement factors up to 107 are achieved when the charge-transfer state interact with the bright local excitations of the metal cluster.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tec

PoS tagging and Named Entitiy Recognition in a Big Data environment

Este artículo describe una suite de módulos lingüísticos para el castellano, basado en una arquitectura en tuberías, que incluye tareas de análisis morfosintáctico así como de reconocimiento y clasificación de entidades nombradas. Se han aplicado técnicas de paralelización en un entorno Big Data para conseguir que la suite de módulos sea más eficiente y escalable y, de este modo, reducir de forma significativa los tiempos de cómputo con los que poder abordar problemas a la escala de la Web. Los módulos han sido desarrollados con técnicas básicas para facilitar su integración en entornos distribuidos, con un rendimiento próximo al estado del arte.This article describes a suite of linguistic modules for the Spanish language based on a pipeline architecture, which contains tasks for PoS tagging and Named Entity Recognition and Classification (NERC). We have applied run-time parallelization techniques in a Big Data environment in order to make the suite of modules more efficient and scalable, and thereby to reduce computation time in a significant way. Therefore, we can address problems at Web scale. The linguistic modules have been developed using basic NLP techniques in order to easily integrate them in distributed computing environments. The qualitative performance of the modules is close the state of the art.Este trabajo ha sido subvencionado con cargo a los proyectos HPCPLN - Ref:EM13/041 (Programa Emergentes, Xunta de Galicia), Celtic - Ref:2012-CE138 y Plastic - Ref:2013-CE298 (Programa Feder-Innterconecta)

About the Unexpected Structure and Properties of Molecules Bonded to Metal Nanoclusters.

SERS (Surface-Enhanced Raman Scattering) is a very powerful technique to gain insight into the nature of metal-molecule hybrids on a molecular level. We show the results of combining SERS and theoretical calculations (1) to analyze the subtle electronic structure of metal-molecule (M-A) interfaces, especially to study the dependence of their structure and properties on applied electric potentials or fields. An example of this is the huge efficiency of the potential (EV) in tuning the energies (E) of metal-molecule charge transfer (CT) states. An equivalence between both quantities is expected on the basis of classical electrochemistry (G=E/EV=1 eV/V) but observed energy gains up to G=4 or 5 eV/V can be explained by combining the dependence of the CT energies (E) on the excess of charge of the metal (qeff) (see Graphical Abstract) and the capacitive enhancement located at metallic nanostructures (2). Moreover, theoretical calculations predict a dual electronic structure of the M-A surface complex in the case of charged molecules bonded to charged metals. These two types of surface states of the same hybrid system are of a very different nature and are selected by the sign of the metal charge (qeff). It is predicted that a single M-A complex can be very strongly bonded (chemisorbed) or form weak and very polarizable complexes (physisorbed) depending on the charges of both the ionic species and the surface excess of the metal which is modulated by the applied potential. These two types of complexes determine the properties of the overall system in the ground electronic state, like the behavior of the wavenumbers of the CN stretching band adsorbed on metals (3-4), as well as in excited states, like the forward and reverse metal-molecule CT states of the isonicotinate anion bonded to positive (chemisorbed, G~0 eV/V) or negative (physisorbed, high G) silver clusters (5), respectively (see Graphical Abstract).Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

The influence of electrode potential on SERS through the electronic structure of nanostructured metal-cyanide interfaces

Experimental and theoretical calculations confirm the existence of two different electronic structures of a surface complex formed by a particular molecule bonded to charged metal electrodes, clusters, or nanoparticles. Each electronic structure of the metal-molecule hybrid system is selected by sign of the surface excess of charge of the metal at potentials more negative or positive than its potential of zero charge (PZC). Surface-enhanced Raman scattering (SERS) of cyanine adsorbed on a silver electrode shows two regions, which are selected by the voltage and characterized by the differentiated response of the vibrational wavenumbers of the ν(CN) stretching band. The combination between the experimental SERS and theoretical DFT calculations has allowed for relating the two regions to chemisorbed (C-hybrid, region A) and physisorbed (P-hybrid, region B) surface complexes, where cyanide is bonded through the carbon on top of a single silver atom of the surface. The electrode potential selects one or another type of electronic structure of the system, which are of different nature having a differentiated response to the applied voltage. Electric potentials tune smoothly the wavenumbers, bond energies, and injected charges of the P-hybrid at more negative potentials than PZC, but the very strong C-hybrid prevents significant changes of these properties at positive excesses of charge. The existence of the dual electronic structure of metal-molecule interfaces might require reinterpreting experiments that are usually discussed by resorting to, for instance, the reorientation of the adsorbate, the formation of complexes with different stoichiometries, the existence of nonequivalent local sites on the surface, or to instrumental artifacts. Moreover, this dual behaviour also determines the properties and responses of technological devices where metal-molecule interfaces are involved.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Monitoring Chest Compression Rate in Automated External Defibrillators Using the Autocorrelation of the Transthoracic Impedance

Aim High-quality chest compressions is challenging for bystanders and first responders to out-of-hospital cardiac arrest (OHCA). Long compression pauses and compression rates higher than recommended are common and detrimental to survival. Our aim was to design a simple and low computational cost algorithm for feedback on compression rate using the transthoracic impedance (TI) acquired by automated external defibrillators (AEDs). Methods ECG and TI signals from AED recordings of 242 OHCA patients treated by basic life support (BLS) ambulances were retrospectively analyzed. Beginning and end of chest compression series and each individual compression were annotated. The algorithm computed a biased estimate of the autocorrelation of the TI signal in consecutive non-overlapping 2-s analysis windows to detect the presence of chest compressions and estimate compression rate. Results A total of 237 episodes were included in the study, with a median (IQR) duration of 10 (6-16) min. The algorithm performed with a global sensitivity in the detection of chest compressions of 98.7%, positive predictive value of 98.7%, specificity of 97.1%, and negative predictive value of 97.1% (validation subset including 207 episodes). The unsigned error in the estimation of compression rate was 1.7 (1.3-2.9) compressions per minute. Conclusion Our algorithm is accurate and robust for real-time guidance on chest compression rate using AEDs. The algorithm is simple and easy to implement with minimal software modifications. Deployment of AEDs with this capability could potentially contribute to enhancing the quality of chest compressions in the first minutes from collapse.The Basque Government provided support in the form of a grant for research groups (IT1087-16) for authors Sofia Ruiz de Gauna, Jesus Maria Ruiz, and Jose Julio Gutierrez. The Spanish Ministry of Economy, Industry and Competitiveness provided support in the form of a grant for research projects (RTI2018-094396-BI00) for authors Sofia Ruiz de Gauna, Jesus Maria Ruiz, and Jose Julio Gutierrez; and in the form of the program Torres Quevedo (PTQ-16-08201) for author Digna Maria Gonzalez-Otero. The University of the Basque Country (UPV/EHU) provided support in the form of a grant for collaboration between research groups and companies (US18/30) for authors Sofia Ruiz de Gauna, Jesus Maria Ruiz, and Jose Julio Gutierrez. Bexen Cardio, a Spanish medical device manufacturer, provided support in the form of a salary for author Digna Mara Gonzalez-Otero. None of the above funding organizations had any additional role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific role of each author is articulated in the Author Contributions section. Authors Daniel Alonso, Carlos Corcuera, and Juan Francisco Urtusagasti received no funding for this work