Editorial: ‘Inter-Identities’ in Life, Mind, and Society

The main funding for this research was received by the Ministry of Economy and Competitiveness (Spain) FFI2014-52173-P Research Project on Inter-Identities (PIs: AE and KR-M). AE and KR-M also acknowledge funding from the Basque Government Research Groups IT 1228-19 to IAS Research on Life, Mind and Society

Fault diagnosis of a wind farm using interval parity equations

Trabajo presentado al 19th IFAC World Congress celebrado del 24 al 29 de agosto de 2014 en Cape Town (Sudafrica).In this paper, the problem of fault diagnosis of a wind farm is addressed using interval parity equations. Fault detection is based on the use of parity equations and unknown but bounded description of the noise and modeling errors. The fault detection test is based on checking the consistency between the measurements and the model by finding if the formers are inside the interval prediction bounds. The fault isolation algorithm is based on analyzing the observed fault signatures on-line, and matching them with the theoretical ones obtained using structural analysis. Finally, the proposed approach is tested using the wind farm benchmark proposed in the context of the wind farm FDI/FTC competition.This work has been funded by the Spanish MINECO through the project CYCYT SHERECS (ref. DPI2011-26243), by the European Commission through contract i-Sense (ref. FP7-ICT-2009-6-270428) and by AGAUR through the contract FI-DGR 2013 (ref. 2013FIB00218).Peer Reviewe

An interval NLPV parity equations approach for fault detection and isolation of a wind farm

In this paper, the problem of fault diagnosis of a wind farm is addressed using interval nonlinear parameter-varying (NLPV) parity equations. Fault detection is based on the use of parity equations assuming unknown but bounded description of the noise and modeling errors. The fault detection test is based on checking the consistency between the measurements and the model, by finding if the formers are inside the interval prediction bounds. The fault isolation algorithm is based on analyzing the observed fault signatures online and matching them with the theoretical ones obtained using structural analysis. Finally, the proposed approach is tested using the wind farm benchmark proposed in the context of the wind farm faultdetection-and-isolation/fault-tolerant-control competition.This work has been funded by the Spanish MINECO through the project CYCYT SHERECS (ref. DPI2011-26243), by the European Commission through contract i-Sense (ref. FP7-ICT-2009-6-270428), by AGAUR through the contracts FI-DGR 2013 (ref. 2013FIB00218) and FI-DGR 2014 (ref. 2014FI B1 00172) and by the DGR of Generalitat de Catalunya (SAC group Ref. 2014/SGR/374).Peer Reviewe

Estudio de la inserción laboral de los egresados del Programa de Estudios de Contabilidad, del IESTP. "Vilcanota" - Sicuani, Cusco

En el presente trabajo de investigación científica titulado “Estudio de la Inserción Laboral de los Egresados del Programa de Estudios de Contabilidad, del IESTP. "Vilcanota" -Sicuani, Región Cusco”, se investiga el siguiente problema: ¿Cómo influye la Formación profesional en la Inserción laboral de los egresados del Programa de Estudios de Contabilidad, del IESP Vilcanota - Sicuani, en el periodo 2016 al 2018? Para dar respuesta a esta pregunta se ha realizado una serie de procedimientos empezando por la muestra que estuvo constituida de 120 egresados que laboran en diferentes instituciones de carácter público y privado, principalmente en la región Cusco, a quienes se les aplicó un cuestionario para medir las variables de estudio seleccionadas para el caso. Los resultados fueron analizados en el nivel descriptivo a través de frecuencias y porcentajes para conocer la influencia de la formación profesional en la variable de la inserción laboral. Los resultados indican que: la formación profesional influye significativamente en la inserción laboral del egresado del IESTP Vilcanota.Universidad Nacional de Educación Enrique Guzmán y Valle.Tesi

Erradicación del hongo Epichloë coenophiala de Schedonorus arundinaceus (festuca alta) por interrupción del proceso de transmisión vertical

Petigrosso, Lucas R. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Balcarce, Argentina.Vignolio, Osvaldo R. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Balcarce, Argentina.Damiano, Ignacio. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Balcarce, Argentina.Echeverría, M. Mercedes. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Balcarce, Argentina.Colabelli, Mabel N. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Balcarce, Argentina.Gundel, Pedro Emilio. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.55-62Tall fescue is usually infected by a fungal endophyte, responsible of livestock intoxication due to fungal alkaloids. An endophyte fungus grows in the apoplast of aboveground tissues and is vertically transmitted through the seeds. Disinfecting plants or clones not only is useful as a way of eliminating a dangerous microorganism from cultivars, but also for experimental purposes. However, not all fungicides are effective, and if they are, a waiting period must be respected in order to avoid confounding effects of the endophyte and the treatment. We subjected plants (ramets from four genotypes) to different doses of two fungicides, Almagor® (Triazole + Imidazole) and Amistar® (Methoxy-acrylate), and evaluated the endophyte persistence. Fungicides were pipette-poured on pseudostems’ bases of each plant. Endophytic status was diagnosed in tillers that received the fungicide and in the new tillers produced by the plants and seeds. While Amistar® had no detectable effect, Almagor® was 100% effective at all doses. The latter interrupted the verticaltransmission processes (5400 evaluated seeds were endophyte-free). Phytotoxic effects were not observed in seeds. Proportion of normal and abnormal seedlings depended only on plant genotype. Almagor® was effective in stopping the fungus from growing into reproductive buds when apical meristems were down on the bases. Use of Almagor® is promising on old pastures dominated by toxic tall fescue, with the purpose of enriching the soil seed-bank with endophyte-free seeds

Translating measurement into practice: Brazilian norms for the Patient Health Questionnaire (PHQ-9) for assessing depressive symptoms

OBJECTIVES: To provide practical norms for measuring depressive symptoms with the Patient Health Questionnaire 9 (PHQ-9) in Brazil through a state-of-the-art psychometrics analysis. METHODS: We used a large representative dataset from the 2019 Brazilian National Health Survey (Pesquisa Nacional de Saúde - 2019), which included 90,846 Brazilian citizens. To assess scale structure, we assessed a unidimensional model using confirmatory factor analysis. Item response theory was used to characterize the distribution of depressive symptoms. Summed- and mean-based PHQ-9 scores were then linked using item response theory-based scores in generalized additive models. Finally, percentiles, T scores, and a newly developed score, called the decimal score (D score), were generated to describe PHQ-9 norms for the Brazilian population. RESULTS: Confirmatory factor analysis revealed a good fit to the unidimensional model, being invariant to age and sex. Item response theory captured item-level information about the latent trait (reliable from 1 to 3 SDs above the mean). Brazilian norms were presented using summed scores, T scores, and D scores. CONCLUSION: This is the first study to determine Brazilian norms for the PHQ-9 among a large representative sample using robust psychometric tools. More precise PHQ-9 scores are now available and may be widely used in primary and specialized clinical care settings

Embedded GPU and multicore processors for emotional-based mobile robotic agents

Control architectures based on emotions are becoming promising solutions for the implementation of future robotic systems. The basic controllers of this architecture are the emotional processes that decide which behaviors the robot must activate to fulfill the objectives. The number of emotional processes increases (hundreds of millions/s) with the complexity level of the application, limiting the processing capacity of a main processor to solve the complex problems. Fortunately, the potential parallelism of emotional processes permits their execution in parallel, hence enabling the computing power to tackle the complex dynamic problems. In this paper, Graphic Processing Unit (GPU), multicore processors and single instruction multiple data (SIMD) instructions are used to provide parallelism for the emotional processes. Different GPUs, multicore processors and SIMD instruction sets are evaluated and compared to analyze their suitability to cope with robotic applications. The applications are set-up taking into account different environmental conditions, robot dynamics and emotional states. Experimental results show that, despite the fact that GPUs have a bottleneck in the data transmission between the host and the device, the evaluated GTX 670 GPU provides a performance of more than one order of magnitude greater than the initial implementation of the architecture on a single core. Thus, all complex proposed application problems can be solved using the GPU technology in contrast to the first prototype where only 55% of them could be solved. Using AVX SIMD instructions, the performance of the architecture is increased in 3.25 times in relation to the first implementation. Thus, from the 27 proposed applications about 88.8% are solved. In the case of the SSE SIMD instructions, the performance is almost doubled and the robot could solve about 74% of the proposed application problems. The use of AVX and SSE SIMD instructions provides almost the same performance as a quad- and a dual-core, respectively, with the advantage that they do not add any additional hardware cost.This work was supported by the Spanish Ministerio de Economia y Competitividad (MINECO) and by FEDER funds under Grant TIN2012-38341-C04-01 and by Universitat Politecnica de Valencia under Grant PAID/2012/325.Francisco Almenar; Domínguez Montagud, CP.; Hassan Mohamed, H.; Martínez Rubio, JM.; López Rodríguez, PJ. (2016). Embedded GPU and multicore processors for emotional-based mobile robotic agents. Future Generation Computer Systems. 56:192-201. https://doi.org/10.1016/j.future.2015.05.010S1922015

Coffee Bioactive N-Methylpyridinium Attenuates Tumor Necrosis Factor (TNF)-α-Mediated Insulin Resistance and Inflammation in Human Adipocytes

Although coffee consumption has been historically associated with negative health outcomes, recent evidence suggests a lower risk of metabolic syndrome, obesity and diabetes among regular coffee drinkers. Among the plethora of minor organic compounds assessed as potential mediators of coffee health benefits, trigonelline and its pyrolysis product N-methylpyridinium (NMP) were preliminary shown to promote glucose uptake and exert anti-adipogenic properties. Against this background, we aimed at characterizing the effects of trigonelline and NMP in inflamed and dysfunctional human adipocytes. Human Simpson-Golabi-Behmel syndrome (SGBS) adipocytes were treated with NMP or, for comparison, trigonelline, for 5 h before stimulation with tumor necrosis factor (TNF)-α. NMP at concentrations as low as 1 µmol/L reduced the stimulated expression of several pro-inflammatory mediators, including C-C Motif chemokine ligand (CCL)-2, C-X-C Motif chemokine ligand (CXCL)-10, and intercellular adhesion Molecule (ICAM)-1, but left the induction of prostaglandin G/H synthase (PTGS)2, interleukin (IL)-1β, and colony stimulating factor (CSF)1 unaffected. Furthermore, NMP restored the downregulated expression of adiponectin (ADIPOQ). These effects were functionally associated with downregulation of the adhesion of monocytes to inflamed adipocytes. Under the same conditions, NMP also reversed the TNF-α-mediated suppression of insulin-stimulated Ser473 Akt phosphorylation and attenuated the induction of TNF-α-stimulated lipolysis restoring cell fat content. In an attempt to preliminarily explore the underlying mechanisms of its action, we show that NMP restores the expression of the master regulator of adipocyte differentiation peroxisome proliferator-activated receptor (PPAR)γ and downregulates activation of the pro-inflammatory mitogen-activated protein jun N-terminal kinase (JNK). In conclusion, NMP reduces adipose dysfunction in pro-inflammatory activated adipocytes. These data suggest that bioactive NMP in coffee may improve the inflammatory and dysmetabolic milieu associated with obesity

A chemical survey of exoplanets with ARIEL

Thousands of exoplanets have now been discovered with a huge range of masses, sizes and orbits: from rocky Earth-like planets to large gas giants grazing the surface of their host star. However, the essential nature of these exoplanets remains largely mysterious: there is no known, discernible pattern linking the presence, size, or orbital parameters of a planet to the nature of its parent star. We have little idea whether the chemistry of a planet is linked to its formation environment, or whether the type of host star drives the physics and chemistry of the planet’s birth, and evolution. ARIEL was conceived to observe a large number (~1000) of transiting planets for statistical understanding, including gas giants, Neptunes, super-Earths and Earth-size planets around a range of host star types using transit spectroscopy in the 1.25–7.8 μm spectral range and multiple narrow-band photometry in the optical. ARIEL will focus on warm and hot planets to take advantage of their well-mixed atmospheres which should show minimal condensation and sequestration of high-Z materials compared to their colder Solar System siblings. Said warm and hot atmospheres are expected to be more representative of the planetary bulk composition. Observations of these warm/hot exoplanets, and in particular of their elemental composition (especially C, O, N, S, Si), will allow the understanding of the early stages of planetary and atmospheric formation during the nebular phase and the following few million years. ARIEL will thus provide a representative picture of the chemical nature of the exoplanets and relate this directly to the type and chemical environment of the host star. ARIEL is designed as a dedicated survey mission for combined-light spectroscopy, capable of observing a large and well-defined planet sample within its 4-year mission lifetime. Transit, eclipse and phase-curve spectroscopy methods, whereby the signal from the star and planet are differentiated using knowledge of the planetary ephemerides, allow us to measure atmospheric signals from the planet at levels of 10–100 part per million (ppm) relative to the star and, given the bright nature of targets, also allows more sophisticated techniques, such as eclipse mapping, to give a deeper insight into the nature of the atmosphere. These types of observations require a stable payload and satellite platform with broad, instantaneous wavelength coverage to detect many molecular species, probe the thermal structure, identify clouds and monitor the stellar activity. The wavelength range proposed covers all the expected major atmospheric gases from e.g. H2O, CO2, CH4 NH3, HCN, H2S through to the more exotic metallic compounds, such as TiO, VO, and condensed species. Simulations of ARIEL performance in conducting exoplanet surveys have been performed – using conservative estimates of mission performance and a full model of all significant noise sources in the measurement – using a list of potential ARIEL targets that incorporates the latest available exoplanet statistics. The conclusion at the end of the Phase A study, is that ARIEL – in line with the stated mission objectives – will be able to observe about 1000 exoplanets depending on the details of the adopted survey strategy, thus confirming the feasibility of the main science objectives.Peer reviewedFinal Published versio

An intrinsically disordered proteins community for ELIXIR.

Intrinsically disordered proteins (IDPs) and intrinsically disordered regions (IDRs) are now recognised as major determinants in cellular regulation. This white paper presents a roadmap for future e-infrastructure developments in the field of IDP research within the ELIXIR framework. The goal of these developments is to drive the creation of high-quality tools and resources to support the identification, analysis and functional characterisation of IDPs. The roadmap is the result of a workshop titled "An intrinsically disordered protein user community proposal for ELIXIR" held at the University of Padua. The workshop, and further consultation with the members of the wider IDP community, identified the key priority areas for the roadmap including the development of standards for data annotation, storage and dissemination; integration of IDP data into the ELIXIR Core Data Resources; and the creation of benchmarking criteria for IDP-related software. Here, we discuss these areas of priority, how they can be implemented in cooperation with the ELIXIR platforms, and their connections to existing ELIXIR Communities and international consortia. The article provides a preliminary blueprint for an IDP Community in ELIXIR and is an appeal to identify and involve new stakeholders