519 research outputs found

    A Speech Recognizer based on Multiclass SVMs with HMM-Guided Segmentation

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    Automatic Speech Recognition (ASR) is essentially a problem of pattern classification, however, the time dimension of the speech signal has prevented to pose ASR as a simple static classification problem. Support Vector Machine (SVM) classifiers could provide an appropriate solution, since they are very well adapted to high-dimensional classification problems. Nevertheless, the use of SVMs for ASR is by no means straightforward, mainly because SVM classifiers require an input of fixed-dimension. In this paper we study the use of a HMM-based segmentation as a mean to get the fixed-dimension input vectors required by SVMs, in a problem of isolated-digit recognition. Different configurations for all the parameters involved have been tested. Also, we deal with the problem of multi-class classification (as SVMs are initially binary classifers), studying two of the most popular approaches: 1-vs-all and 1-vs-1

    Recent trends in the analysis of honey constituents

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    Producción CientíficaThe main goal of this article is to present an overview of the analytical methodologies employed in recent years (2015–2021) to determine several honey constituents, and, specifically, those with health-promoting effects and nutritional value, like phenolic compounds, sugars, amino acids and proteins, vitamins, lipids, minerals, and organic acids. The review is structured according to the different families of compounds, and they will be discussed along with the main extraction and analytical techniques used for their determination. Phenolic compounds, sugars and amino acids have been the main compounds determined in honey. The analytical methods (sample treatment and determination techniques) are strongly dependent on the compound. Nevertheless, it can be concluded that high-performance liquid chromatography was predominantly selected for determining honey constituents; while, in relation to the sample treatment, the preferred option was a dilution of the honey with water or a buffer.Ministerio de Economía y Competitividad y el Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (project numbers RTA 2015-00013-C03-03

    Secondary Education Teacher Training and Emotional Intelligence: Ingredients for Attention to Diversity in anInclusive School for All

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    This study, which is part of a broader research project, aims to investigate the impact of the initial training received by students in the Master?s Degree in Secondary Education and Baccalaureate, Vocational Training, and Language Teaching (MDSE) on their future teaching development in the current educational and social framework. The main goal is to understand their concerns, attitudes, and level of acquired competencies and knowledge for their professional development as inclusive teachers. Additionally, the study aims to explore the relationship between their assessments and experiences with the perceived level of Emotional Intelligence (EI), given its importance as a facilitating element, which is teachable from formal education, in socio-educational inclusion processes and quality attention to diversity in classrooms. A total of 218 MDSE students (Mage = 31.5; SD = 6; males = 33%; females = 67%) participated in the study, coming from various Spanish universities, and having either completed their studies or being in the final stages after having completed the generic module and practices in secondary education centers. The information was collected through the ?Teacher Training in Secondary Education: Key Elements for Teaching in an Inclusive School for All? (TTSE-IN) questionnaire, which included five validated and relevant instruments, of which three were used for the study?s purpose (Questionnaire for Future Secondary Education Teachers about Perceptions of Diversity Attention, Scale of Feelings, Attitudes, and Concerns about Inclusive Education, Revised SACIE-R andWong and Law Emotional Intelligence Scale WLEIS-S). The main results indicate that future teachers show a positive attitude towards diversity but have significant training gaps. Additionally, the EI variable, along with regular contact with people in situations of special vulnerability and experience in teaching people in situations of special vulnerability in non-formal contexts, has a positive effect on both teacher well-being and the facilitation of inclusive education processes and diversity attention

    Molecular characterization of autophagic and apoptotic signaling induced by sorafenib in liver cancer cells

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    Sorafenib is the unique accepted molecular targeted drug for the treatment of patients in advanced stage of hepatocellular carcinoma. The current study evaluated cell signaling regulation of endoplasmic reticulum (ER) stress, c-Jun-N-terminal kinase (JNK), Akt, and 5′AMP-activated protein kinase (AMPK) leading to autophagy and apoptosis induced by sorafenib. Sorafenib induced early (3–12 hr) ER stress characterized by an increase of Ser51P-eIF2α/eIF2α, C/EBP homologous protein (CHOP), IRE1α, and sXBP1, but a decrease of activating transcription factor 6 expression, overall temporally associated with the increase of Thr183,Tyr185P-JNK1/2/JNK1/2, Thr172P-AMPKα, Ser413P-Foxo3a, Thr308P-AKt/AKt and Thr32P-Foxo3a/Foxo3a ratios, and reduction of Ser2481P-mammalian target of rapamycin (mTOR)/mTOR and protein translation. This pattern was related to a transient increase of tBid, Bim EL, Beclin-1, Bcl-xL, Bcl-2, autophagy markers, and reduction of myeloid cell leukemia-1 (Mcl-1) expression. The progressive increase of CHOP expression, and reduction of Thr308P-AKt/AKt and Ser473P-AKt/AKt ratios were associated with the reduction of autophagic flux and an additional upregulation of Bim EL expression and caspase-3 activity (24 hr). Small interfering-RNA (si-RNA) assays showed that Bim, but not Bak and Bax, was involved in the induction of caspase-3 in sorafenib-treated HepG2 cells. Sorafenib increased autophagic and apoptotic markers in tumor-derived xenograft model. In conclusion, the early sorafenib-induced ER stress and regulation of JNK and AMPK-dependent signaling were related to the induction of survival autophagic process. The sustained drug treatment induced a progressive increase of ER stress and PERK-CHOP-dependent rise of Bim EL, which was associated with the shift from autophagy to apoptosis. The kinetic of Bim EL expression profile might also be related to the tight balance between AKt- and AMPK-related signaling leading to Foxo3a-dependent BIM EL upregulation.Ministerio de Economía y Competitividad BFU2016‐75352‐PInstituto de Salud Carlos III PI15/00034, PI13/ 00021, PI16/00090, PI14/01349Ministerio de Educación FPU16/05127, FPU12/01433, FPU13/01237Junta de Andalucía CTS-6264, PI-00025-2013, PI-0127-2013, PI-0198-201

    Conceptos de biodiversidad y salud a través del constructivismo

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    Desarrollo un bloque completo que incluye los contenidos correspondientes a la biología y geología incluidos en currículo de la asignatura de Ámbito de Carácter Científico-Matemático de 1º de PMAR (Programa de Mejora del Aprendizaje y del Rendimiento), Bloque 2: La biodiversidad en el planeta. Ecosistemas. La propuesta didáctica se ha realizado de forma presencial en las aulas, pudiendo hacer uso de las TIC de una manera ágil, ya que los alumnos/as usaban Chromebook para el desarrollo del curso. Se ha podido colgar el material en Google Classroom, y utilizar metodología flipped classroom de una manera muy sencilla. Durante las sesiones se ha trabajado de una forma muy participativa, con ejercicios y actividades que conectaban con la parte teórica, desarrollando el aprendizaje significativo y evitando el memorístico, aunque se ha utilizado mucho la repetición de ideas construidas en sesiones posteriores para favorecer su asimilación.<br /

    Understanding the interplay of carbon and nitrogen supply for ectoines production and metabolic overflow in high density cultures of Chromohalobacter salexigens

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    Background The halophilic bacterium Chromohalobacter salexigens has been proposed as promising cell factory for the production of the compatible solutes ectoine and hydroxyectoine. This bacterium has evolved metabolic adaptations to efficiently grow under high salt concentrations by accumulating ectoines as compatible solutes. However, metabolic overflow, which is a major drawback for the efficient conversion of biological feedstocks, occurs as a result of metabolic unbalances during growth and ectoines production. Optimal production of ectoines is conditioned by the interplay of carbon and nitrogen metabolisms. In this work, we set out to determine how nitrogen supply affects the production of ectoines. Results Chromohalobacter salexigens was challenged to grow in media with unbalanced carbon/nitrogen ratio. In C. salexigens, overflow metabolism and ectoines production are a function of medium composition. At low ammonium conditions, the growth rate decreased importantly, up to 80%. Shifts in overflow metabolism were observed when changing the C/N ratio in the culture medium. 13C-NMR analysis of ectoines labelling revealed a high metabolic rigidity, with almost constant flux ratios in all conditions assayed. Unbalanced C/N ratio led to pyruvate accumulation, especially upon N-limitation. Analysis of an ect − mutant demonstrated the link between metabolic overflow and ectoine biosynthesis. Under non ectoine synthesizing conditions, glucose uptake and metabolic overflow decreased importantly. Finally, in fed-batch cultures, biomass yield was affected by the feeding scheme chosen. High growth (up to 42.4 g L−1) and volumetric ectoine yields (up to 4.21 g L−1) were obtained by minimizing metabolite overflow and nutrient accumulation in high density cultures in a low nitrogen fed-batch culture. Moreover, the yield coefficient calculated for the transformation of glucose into biomass was 30% higher in fed-batch than in the batch culture, demonstrating that the metabolic efficiency of C. salexigens can be improved by careful design of culture feeding schemes. Conclusions Metabolic shifts observed at low ammonium concentrations were explained by a shift in the energy required for nitrogen assimilation. Carbon-limited fed-batch cultures with reduced ammonium supply were the best conditions for cultivation of C. salexigens, supporting high density growth and maintaining high ectoines production.España, Ministerio de Ciencia e Innovación BIO2011-29233-C02-01España, Ministerio de Economía y Competitividad BIO2014-54411-C2-1-

    Plant catalases as NO and H2S targets

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    Catalase is a powerful antioxidant metalloenzyme located in peroxisomes which also plays a central role in signaling processes under physiological and adverse situations. Whereas animals contain a single catalase gene, in plants this enzyme is encoded by a multigene family providing multiple isoenzymes whose number varies depending on the species, and their expression is regulated according to their tissue/organ distribution and the environmental conditions. This enzyme can be modulated by reactive oxygen and nitrogen species (ROS/RNS) as well as by hydrogen sulfide (H2S). Catalase is the major protein undergoing Tyr-nitration [post-translational modification (PTM) promoted by RNS] during fruit ripening, but the enzyme from diverse sources is also susceptible to undergo other activity-modifying PTMs. Data on S-nitrosation and persulfidation of catalase from different plant origins are given and compared here with results from obese children where S-nitrosation of catalase occurs. The cysteine residues prone to be S-nitrosated in catalase from plants and from bovine liver have been identified. These evidences assign to peroxisomes a crucial statement in the signaling crossroads among relevant molecules (NO and H2S), since catalase is allocated in these organelles. This review depicts a scenario where the regulation of catalase through PTMs, especially S-nitrosation and persulfidation, is highlighted

    Inverse relation between FASN expression in human adipose tissue and the insulin resistance level

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    <p>Abstract</p> <p>Background</p> <p>Adipose tissue is a key regulator of energy balance playing an active role in lipid storage and may be a dynamic buffer to control fatty acid flux. Just like PPARγ, fatty acid synthesis enzymes such as FASN have been implicated in almost all aspects of human metabolic alterations such as obesity, insulin resistance or dyslipemia. The aim of this work is to investigate how FASN and PPARγ expression in human adipose tissue is related to carbohydrate metabolism dysfunction and obesity.</p> <p>Methods</p> <p>The study included eighty-seven patients which were classified according to their BMI and to their glycaemia levels in order to study FASN and PPARγ gene expression levels, anthropometric and biochemical variables.</p> <p>Results</p> <p>The main result of this work is the close relation between FASN expression level and the factors that lead to hyperglycemic state (increased values of glucose levels, HOMA-IR, HbA1c, BMI and triglycerides). The correlation of the enzyme with these parameters is inversely proportional. On the other hand, PPARγ is not related to carbohydrate metabolism.</p> <p>Conclusions</p> <p>We can demonstrate that FASN expression is a good candidate to study the pathophysiology of type II diabetes and obesity in humans.</p

    Uncertainty Analysis in New Seismic Hazard Study of Spain Aimed at the Revision of the Spanish Building Code.

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    In this paper we present a global overview of the recent study carried out in Spain for the new hazard map, which final goal is the revision of the Building Code in our country (NCSE-02). The study was carried our for a working group joining experts from The Instituto Geografico Nacional (IGN) and the Technical University of Madrid (UPM) , being the different phases of the work supervised by an expert Committee integrated by national experts from public institutions involved in subject of seismic hazard. The PSHA method (Probabilistic Seismic Hazard Assessment) has been followed, quantifying the epistemic uncertainties through a logic tree and the aleatory ones linked to variability of parameters by means of probability density functions and Monte Carlo simulations. In a first phase, the inputs have been prepared, which essentially are: 1) a project catalogue update and homogenization at Mw 2) proposal of zoning models and source characterization 3) calibration of Ground Motion Prediction Equations (GMPE’s) with actual data and development of a local model with data collected in Spain for Mw < 5.5. In a second phase, a sensitivity analysis of the different input options on hazard results has been carried out in order to have criteria for defining the branches of the logic tree and their weights. Finally, the hazard estimation was done with the logic tree shown in figure 1, including nodes for quantifying uncertainties corresponding to: 1) method for estimation of hazard (zoning and zoneless); 2) zoning models, 3) GMPE combinations used and 4) regression method for estimation of source parameters. In addition, the aleatory uncertainties corresponding to the magnitude of the events, recurrence parameters and maximum magnitude for each zone have been also considered including probability density functions and Monte Carlo simulations The main conclusions of the study are presented here, together with the obtained results in terms of PGA and other spectral accelerations SA (T) for return periods of 475, 975 and 2475 years. The map of the coefficient of variation (COV) are also represented to give an idea of the zones where the dispersion among results are the highest and the zones where the results are robust
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