ANGINA INESTABLE. PROPUESTA DE PROTOCOLO DE TRATAMIENTO EN EL HOSPITAL

Unstable angina is an acute coronary syndrome without elevation of the ST segment. It is clinically important because of its threatening and crippling nature, due to the possibility that it could precede acute myocardial infarction. That is why it is determined that the patient suffering from this condition must be hospitalized in the Intensive Care Unit. There are various therapeutic strategies and several forms to approach the treatment of each patient, but in many cases it is necessary a percutaneous coronary intervention and this procedure is not carried out in this hospital. That is why it is necessary to establish a guideline for the treatment of this condition with the aim of optimizing the medications and making an adequate selection of the patients who require being transferred to a hospital with interventional cardiology services. A proposal for treatment protocol is presented in this work. It can function as a guideline for those who on daily basis treat patient with this condition at the Roberto Rodriguez Fernandez University Hospital in Morón city

Influence of ships emissions in the ultrafine particles pollution in an urban coastal air

Comunicación presentada en: V Reunión Española de Ciencia y Tecnología de Aerosoles – RECTA 2011 celebrada del 27 al 29 de junio de 2011 en CIEMAT, Madrid.Experimental data (2008-2009) of particle number (N≥2.5 nm diameter) and black carbon (BC) concen-trations and of gaseous pollutants recorded in the city of Santa Cruz de Tenerife was analyzed in order to asses the impact of ship emissions on the ultrafine particle (UFP) concentrations in coastal urban areas. The observed relationship between N and the other air pollutants, allowed segregating the contribu-tion of vehicle exhaust and of ship emissions to the UFP con-centrations in the urban ambient air. The influence of fresh vehicle exhaus

Coarse-grained submarine channels: from confined to unconfined flows in the Colombian Caribbean (late Eocene)

Submarine channel mouth settings are hardly preserved in the stratigraphic record. Although they are still poorly known with respect to other segments of turbidite systems, conceptual models are being refined in the light of newdiscoveries inmodern and ancient examples. Still, some questions such as the transition between expansion zones and the traditional Channel-Lobe Transition Zone (CLTZ) remains open in ancient systems. Upper Eocene deposits of the Colombian Caribbean (San Jacinto Fold Belt) are interpreted here as a fan-delta-fed, submarine, coarse-grained channel-lobe system. It displays a well-preserved channel inception stage in the shelf break represented by sigmoidal to lens-shaped gravels, and planar cross-stratified pebbly sandstones (foreset and backset) interpreted as cyclic steps in an expansion zone. In a later stage, a classical channel-levee complex was developed, represented by channel fill elements showing sharp- and erosional-based, fining-upward sequences that aremeters thick, having basal massive matrix-supported pebble conglomerates (hard—extrabasinal—clasts, rip-up clasts, coastal bioclasts), vertically evolving to liquefied massive to planar-laminated coarse-grained sandstones with phytodetrital carbonaceous laminae. They are interpreted as concentrated flow deposits (high-density turbidites) coming from continental areas or from coastal systems (i.e., delta reworking). Undifferentiated channel belt thin-bedded turbidites associated with levees and terraces deposits are related to these confined systems. The channel-lobe transition zone is characterized by debrites from cohesionless debris flow in a channelmouth bar setting, representing bypass processes that developed distally into low-angle, planar cross- and sigmoidally- stratified (upstream antidune) pebble-size to coarse-grained sandstones that fill low-angle scours (cut-and-fill structures) in an antidune field settingwith supercritical conditions.When the currents lose channel confinement, the setting is characterized by changes fromFroude supercritical to subcritical flowconditions in an inner lobe to lobe off-axis environment. Large seasonal fluctuations in precipitation favor high sediment concentrations, promoting the formation of volumetrically significant fan deltas and coarse-grained submarine channels with high erosive capacity; therefore, their record helps refine interpretations of depositional processes, providing criteria for recognizing areas of the turbiditic systems that are hardly preserved. The particular aggradational conditions for the preservation and stratigraphic characterization of the rare exhumed submarine channelmouth systems make it possible to decipher sediment dispersal patterns and thus connect the models proposed here, from supercritical systems to the traditional models of turbiditic systems.National Programfor Doctoral Formation (Minciencias Colombia grants 885-2020, 906-2021)Project PID2019-104625RB-100 (funded by MCIN/AEI/10.13039/501100011033)Project P18-RT-4074 (funded by FEDER/Junta de Andalucía-Consejería de Economía y Conocimiento)Projects B-RNM-072-UGR18 and A-RNM-368-UGR20 (funded by FEDER Andalucía)Funding for open access charge: Universidad de Granada / CBU

Predictive models based on RSM and ANN for roughness and wettability achieved by laser texturing of S275 carbon steel alloy

Laser texturing is increasingly gaining attention in the field of metal alloys due to its ability to improve surface properties, particularly in steel alloys. However, the input parameters of the technology must be carefully controlled to achieve the desired surface roughness. Roughness is critical to the activation of the surface before further bonding operations, and it is often assessed using several parameters such as Ra, Rt, Rz, and Rv. This surface activation affects the properties of the metal alloy in terms of wettability, which has been evaluated by the deposition of ethylene glycol droplets through a contact angle. This allowed a direct relationship to be established between the final roughness, the wettability of the surface and the texturing parameters of the alloy. This raises the interest of being able to predict the behaviour in terms of roughness and wettability for future applications in improving the behaviour of metallic alloys. In this research, a comparative analysis between Response Surface Models (RSM) and predictive models based on Artificial Neural Networks (ANN) has been conducted. The model based on neural networks was able to predict all the output variables with a fit greater than 90%., improving that obtained by RSM. The model obtained by ANN allows a greater adaptability to the variation of results obtained, reaching deviations close to 0.2 μm. The influence of input parameters, in particular power and scanning speed, on the achieved roughness and surface wettability has been figured out by contact angle measurements. This increases its surface activation in terms of wettability. Superhydrophilic surfaces were achieved by setting the power to 20 W and scanning speed to ten mm/s. In contrast, a power of 5 W and a scanning speed of 100 mm/s reduced the roughness values.Funding for open access charge: Universidad de Málaga / CBU

Castillejo del Bonete (Terrinches, Ciudad Real): un complejo tumular prehistórico de la Cultura de las Motillas en el Alto Guadalquivir

Situado en las estribaciones orientales de Sierra Morena, dentro de la cuenca hidrológica del Guadalquivir, Castillejo del Bonete es un gran complejo arquitectónico que consta de una cueva monumentalizada mediante estructuras varias, entre las que destacan varios corredores megalíticos y túmulos, todos ellos asociados a contextos funerarios y depósitos de ofrendas. El presente artículo se centra en la explicación detallada de los elementos que integran este complejo constructivo para posteriormente discutir el avance que supone para la investigación de la Prehistoria Reciente en La Mancha. Castillejo del Bonete tiene el potencial de convertirse en un yacimiento clave para la comprensión de las prácticas funerarias y la creciente jerarquización social durante el tránsito del III al II milenios cal ANE

Solid-State Culture for Lignocellulases Production

Aspergillus sp. and Trametes versicolor solid-state monocultures produced high titers of xylanases and laccases activities (4617 ± 38 and 2759 ± 30 U/gsubstrate, respectively). Fungal biomass was quantified by estimating the ergosterol content of the mycelium, and by a simple material balance the corresponding residual substrate was obtained. Fungal growth and substrate consumption rates showed different behavior for these monocultures (μ = 0.03 and 0.11 h−1; rs = − 0.04 and − 0.0006 gsubstrate/h, respectively). In this case, xylanases production was directly linked to the growth, while laccases were produced during both growth and maintenance phases. Besides xylanases (42% of total Aspergillus enzyme), high titers of cellulases (15%), amylases (34%), and invertases (9%), as well as lignin and manganese peroxidases (10 and 24% of the total Trametes enzyme), were produced on the corresponding monocultures. When both fungi were used in a coculture mode, xylanases and laccases production decreased (around 85 and 70%), and the proportion of the hydrolases and oxidases changed. This suggested the need for most careful coculture design, in order to produce both enzymatic activities simultaneously even though the enzymatic extracts obtained by mono- or cocultures can be applied in several bioprocesses

Authenticated encryption of pmu data

This paper presents the implementation of anencryption board in order to provide confidentiality, authenticity and integrity of data collected at any point in a power grid, as a potential solution to the Smart Grid cyber security issues. This board consists of a Freescale microcontroller which enables the connection between a PMU (Phasor Measurement Unit) and a ZigBee transmitter. Encryption is done using the SHA256, HMAC-SHA256, KDF-SHA256 and AES256-CBC algorithms. This architecture makes reading and transmission of voltage and currentphasors, energy consumption, frequency, power, power factor and power outages measurements and sendsthis information in real time to a data concentrator where display and subsequent storage are possible. This paper presents the implementation of anencryption board in order to provide confidentiality, authenticity and integrity of data collected at any point in a power grid, as a potential solution to the Smart Grid cyber security issues. This board consists of a Freescale microcontroller which enables the connection between a PMU (Phasor Measurement Unit) and a ZigBee transmitter. Encryption is done using the SHA256, HMAC-SHA256, KDF-SHA256 and AES256-CBC algorithms. This architecture makes reading and transmission of voltage and currentphasors, energy consumption, frequency, power, power factor and power outages measurements and sendsthis information in real time to a data concentrator where display and subsequent storage are possible.

The Effect of Green Software: A Study of Impact Factors on the Correctness of Software

Unfortunately, sustainability is an issue very poorly used when developing software and hardware systems. Lately, and in order to contribute to the earth sustainability, a new concept emerged named Green software which is computer software that can be developed and used efficiently and effectively with minimal or no impact to the environment. Currently, new teaching methods based on students’ learning process are being developed in the European Higher Education Area. Most of them are oriented to promote students’ interest in the course’s contents and offer personalized feedback. Online judging is a promising method for encouraging students’ participation in the e-learning process, although it still has to be researched and developed to be widely used and in a more efficient way. The great amount of data available in an online judging tool provides the possibility of exploring some of the most indicative attributes (e.g., running time, memory) for learning programming concepts, techniques and languages. So far, the most applied methods for automatically gathering information from the judging systems are based on statistical methods and, although providing reasonable correlations, these methods have not been proven to provide enough information for predicting grades when dealing with a huge amount of data. Therefore, the great novelty of this paper is to develop a data mining approach to predict program correctness as well as the grades of the students’ practices. For this purpose, powerful data mining technologies taken from the artificial intelligence domain have been used. In particular, in this study, we have used logistic regression, decision trees, artificial neural network and support vector machines; which have been properly identified as the most suitable ones for predicting activities in the e-learning domains. The results have achieved an accuracy of around 74%, both in the prediction of the program correctness as well as in the practice grades’ prediction. Another relevant issue provided in this paper is a comparison among these four techniques to obtain the best accuracy in predicting grades based on the availability of data as well as their taxonomy. The Decision Trees classifier has obtained the best confusion matrix, and time and memory efficiency were identified as the most important predictor variables. In view of these results, we can conclude that the development of green software leads programmers to implement correct software.This work has been funded by the Spanish Ministry of Economy and Competitiveness (MINECO/FEDER) under the granted project SEQUOIA-UA (TIN2015-63502-C3-3-R), project GINSENG-UMU (TIN2015-70259-C2-2-R) supported by the Spanish Ministry of Economy, Industry and Competitiveness and European FEDER funds. This work has also been partially funded by University of Alicante, under project GRE14-10 and by the Generalitat Valenciana, Spain, under project GV/2016/087

Computational Design of Inhibitors Targeting the Catalytic β Subunit of Escherichia coli FOF1-ATP Synthase

With the uncontrolled growth of multidrug-resistant bacteria, there is an urgent need to search for new therapeutic targets, to develop drugs with novel modes of bactericidal action. FoF1-ATP synthase plays a crucial role in bacterial bioenergetic processes, and it has emerged as an attractive antimicrobial target, validated by the pharmaceutical approval of an inhibitor to treat multidrug-resistant tuberculosis. In this work, we aimed to design, through two types of in silico strategies, new allosteric inhibitors of the ATP synthase, by targeting the catalytic β subunit, a centerpiece in communication between rotor subunits and catalytic sites, to drive the rotary mechanism. As a model system, we used the F1 sector of Escherichia coli, a bacterium included in the priority list of multidrug-resistant pathogens. Drug-like molecules and an IF1-derived peptide, designed through molecular dynamics simulations and sequence mining approaches, respectively, exhibited in vitro micromolar inhibitor potency against F1. An analysis of bacterial and Mammalia sequences of the key structural helix-turn-turn motif of the C-terminal domain of the β subunit revealed highly and moderately conserved positions that could be exploited for the development of new species-specific allosteric inhibitors. To our knowledge, these inhibitors are the first binders computationally designed against the catalytic subunit of FOF1-ATP synthase. Keywords: FOF1-ATP synthase; allosteric inhibition; evolutionary and PPI algorithms; peptide design; structure-based drug design

Aportaciones hidrogeológicas al estudio arqueológico de los orígenes de la Edad del Bronce de La Mancha: la cueva monumentalizada de Castillejo del Bonete (Terrinches, Ciudad Real-España)

Estudios recientes indican que las motillas, asentamientos de la Edad del Bronce de La Mancha, pudieron ser las más antiguas captaciones de agua subterránea en la Península Ibérica. Pero ¿por qué no existen motivas en el Campo de Montiel, territorio ubicado tradicionalmente en esta área cultural? En Castillejo del Bonete, sitio arqueológico situado en esa comarca, existe una cueva que fue utilizada y sellada durante la Prehistoria Reciente. Se presenta ahora la primera investigación paleohidrogeológica interdisciplinar en La Mancha, que ha analizado manantiales y niveles de agua subterránea del acuífero de Campo de Montiel, así como el interior de la sima de Castillejo del Bonete. Las conclusiones avanzan una relación entre el sustrato hidrogeomorfológico y la distribución espacial de las motillas. Además permiten descartar que la sima de Castillejo del Bonete fuera utilizada como mina o como acceso al acuífero, dos de las hipótesis de trabajo planteadas. De ese modo cobra fuerza que Castillejo del Bonete fuera un excepcional monumento funerario y simbólico durante el Calcolítico y la Edad del Bronce, perteneciente a una nueva clase de asentamientos desconocidos hasta ahora en el grupo cultural de la Edad del Bronce de La Mancha