Engineering biocatalysts for the anaerobic recycling of toxic aromatic hydrocarbons

En: 1st Spanish National Conference on Advances in Materials Recycling and Eco – Energy Madrid, 12-13 November 2009.-- Editors: F. A. López, F. Puertas, F. J. Alguacil and A. Guerrero.-- 3 pages.Azoarcus sp. CIB is a denitrifying betaproteobacterium that uses different aromatic compounds, including toxic hydrocarbons such as toluene and m-xylene, as sole carbon sources, and is susceptible of genetic manipulation. To acquire a global view of all the genetic determinants involved in the anaerobic catabolism of aromatic compounds in strain CIB, and to accelerate and complete our understanding about this anaerobic catabolism, we have performed a genomic survey in the recently sequenced genome of this strain. This information paves the way for a pathway engineering approach within the field of anaerobic degradation of aromatics.Peer reviewe

Sistema turístico en cinco municipios de Córdoba : corredor Golfo de Morrosquillo

En este documento se expone una radiografía de la situación actual de los prestadores de servicios turísticos y de los atractivos turísticos que se encuentran en cinco municipios del Corredor turístico Golfo de Morrosquillo en el departamento de Córdoba” en el cual como punto de partida para el diseño de la ruta turística se realizó un diagnóstico de los componentes del sistema turístico de los 5 municipios que conforman la ruta, Montería, Lorica, San Antero, San Bernardo del Viento y Moñitos, analizados bajo criterios técnicos.Contexto del turismo en Colombia -- Contexto regional del turismo -- Turismo en el departamento de Córdoba -- Análisis de los prestadores de servicios turísticos en cinco municipios del departamento de Córdoba -- Análisis de los atractivos turísticos en los cinco municipios del departamento de Córdoba pertenecientes al corredor Golfo de Morrosquillo -- Recomendaciones de capacitación para el mejoramiento de la calidad en la prestación de servicios turísticos.na110 página

Resumen de la tarea PoliticES en IberLEF 2023: Detección de Ideología Política en Español

This paper describes PoliticES 2023, a shared task organized within the workshop IberLEF 2023 in the framework of the 39th edition of the International Conference of the Spanish Society for Natural Language Processing. This second edition of the task shares the goal of the first edition of PoliticES, which is to extract political ideology and other psychographic and demographic characteristics of users in social networks. What is new this year is that the traits are extracted from text clusters of users who share the same traits, and that celebrities have been included as a type of profession. This edition attracted 43 teams, of which 11 submitted results and 8 sent papers describing their systems. Most of the participants proposed Transformers-based approaches, but others also used traditional machine learning algorithms.Este artículo describe PoliticES 2023, una tarea organizada dentro del taller IberLEF 2023 en el marco de la 39 edición del Congreso Internacional de la Sociedad Española para el Procesamiento del Lenguaje Natural. Esta segunda edición de la tarea comparte el objetivo de la primera edición de PoliticES, extraer la ideología política y otros rasgos psicográficos y demográficos de usuarios en redes sociales. Las novedades son que este año los rasgos se extraen de clústers de textos de usuarios que comparten los mismos rasgos y que se ha incluido celebridades como tipo de profesión. Esta edición ha atraído a 43 equipos, de los cuales 11 enviaron resultados y 8 presentaron artículos describiendo sus sistemas. La mayoría de los participantes propusieron enfoques basados en Transformers, pero también otros utilizaron algoritmos tradicionales de aprendizaje automático.This work is part of the research projects LaTe4PoliticES (PID2022-138099OB-I00) funded by MCIN/AEI/10.13039/501100011033 and the European Fund for Regional Development (FEDER)-a way to make Europe and LaTe4PSP (PID2019-107652RB-I00/AEI/10.13039/501100011033) funded by MCIN/AEI/10.13039/501100011033. This work is also part part of the research projects AIInFunds (PDC2021-121112-I00) and LTSWM (TED2021-131167B-I00) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. It also has been partially supported by Project CONSENSO (PID2021-122263OB-C21), Project MODERATES (TED2021-130145B-I00) and Project SocialTox (PDC2022-133146-C21) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR, Project PRECOM (SUBV-00016) funded by the Ministry of Consumer Affairs of the Spanish Government, Project FedDAP (PID2020-116118GA-I00) supported by MICINN/AEI/10.13039/501100011033 and WeLee project (1380939, FEDER Andalucía 2014-2020) funded by the Andalusian Regional Government. Salud María Jiménez-Zafra has been partially supported by a grant from Fondo Social Europeo and the Administration of the Junta de Andalucía (DOC 01073)

Resumen de la tarea PoliticEs 2022: Perfilado del Autor Español por su Ideología Política

This paper presents the PoliticEs 2022 shared task, organized at IberLEF 2022 workshop, within the framework of the 38th International Conference of the Spanish Society for Natural Language Processing. This task aims to extract the political ideology from a given user’s set of tweets. Specifically, it focused on the identification of the gender and the profession, as demographic traits, and the political ideology from a binary and multi-class perspective, as a psychographic trait. The PoliticEs task attracted 63 teams that registered through CodaLab. Finally, 20 submitted results and 14 presented working notes describing their systems. Most of the teams proposed transformer-based approaches, although some of them also used traditional machine learning algorithms or even a combination of both approaches.Este artículo presenta la tarea PoliticEs 2022, organizada en el taller IberLEF 2022, en el marco de la 38 edición del Congreso Internacional de la Sociedad Española para el Procesamiento del Lenguaje Natural. Esta tarea tiene como objetivo extraer la ideología política de un usuario a partir de un conjunto de tuits publicados por él. En concreto, se centró en la identificación del género y la profesión, como rasgos demográficos, y la ideología política desde una perspectiva binaria y multiclase, como rasgo psicográfico. La tarea PoliticEs atrajo a 63 equipos que se inscribieron a través de CodaLab. Finalmente, 20 enviaron resultados y 14 presentaron artículos describiendo sus sistemas. La mayoría de los equipos propusieron enfoques basados en transformers, aunque algunos de ellos también utilizaron algoritmos tradicionales de aprendizaje automático o incluso una combinación de ambos enfoques.This work was supported by Project LaTe4PSP (PID2019-107652RB-I00) funded by MCIN/AEI/10.13039/501100011033, Project AlInFunds (PDC2021-121112-I00) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR, Project LIVING-LANG (RTI2018-094653-B-C21) funded by MCIN/AEI/10.13039/501100011033 and by ERDF A way of making Europe, and Big Hug project (P20 00956, PAIDI 2020) and WeLee project (1380939, FEDER Andalucía 2014-2020) funded by the Andalusian Regional Government. In addition, José Antonio García-Díaz has been supported by Banco Santander and University of Murcia through the industrial doctorate programme, and Salud María Jiménez-Zafra has been partially supported by a grant from Fondo Social Europeo and Administración de la Junta de Andalucía (DOC 01073)

Risk analysis for patient safety in surgical departments: Cross-sectional design usefulness

(1) Background: Identifying and measuring adverse events (AE) is a priority for patient safety, which allows us to define and prioritise areas for improvement and evaluate and develop solutions to improve health care quality. The aim of this work was to determine the prevalence of AEs in surgical and medical-surgical departments and to know the health impact of these AEs. (2) Methods: A cross-sectional study determining the prevalence of AEs in surgical and medical-surgical departments was conducted and a comparison was made among both clinical areas. A total of 5228 patients were admitted in 58 hospitals in Argentina, Colombia, Costa Rica, Mexico, and Peru, within the Latin American Study of Adverse Events (IBEAS), led by the Spanish Ministry of Health, the Pan American Health Organization, and the WHO Patient Safety programme. (3) Results: The global prevalence of AEs was 10.7%. However, the prevalence of AEs in surgical departments was 11.9%, while in medical-surgical departments it was 8.9%. The causes of these AEs were associated with surgical procedures (38.6%) and nosocomial infections (35.4%). About 60.6% of the AEs extended hospital stays by 30.7 days on average and 25.8% led to readmission with an average hospitalisation of 15 days. About 22.4% resulted in death, disability, or surgical reintervention. (4) Conclusions: Surgical departments were associated with a higher risk of experiencing AEs

Evaluation of antimicrobial and antifungal activity of hydroethanolic extracts of in vitro and ex vitro seedlings of Dionaea muscipula J. Ellis

Objective: To assess the antibacterial and antifungal activity of hydroethanolic extracts of Dionaea muscipula J. Ellis against model bacteria and fungi of agricultural importance. Design/Methodology/Approach: In vitro plants of D. muscipula were propagated and acclimatized for three months. The antibacterial activity of the hydroethanolic extracts against Escherichia coli and Bacillus cereus and the antifungal activity against Aspergillus niger, Fusarium oxysporum and Pseudocercospora fijiensis were evaluated. An analysis of variance (ANOVA) was performed to compare the means obtained with a Tukey test (p?0.05). Results: The hydroethanolic extracts of D. muscipula in vitro and acclimatized showed a bacteriostatic activity against the bacteria E. coli (65.20 and 69.78% inhibition) and B. cereus (91.75 and 92.61% inhibition) and an antifungal activity against the fungus P. fijiensis of 7.56 and 14.21% of inhibition, respectively. Study Limitations/Implications: The hydroethanolic extracts of D. muscipula in vitro and acclimatized did not show antifungal activity against A. niger and F. oxysporum. Findings/Conclusions: The hydroethanolic extracts of D. muscipula in vitro and acclimatized showed a bacteriostatic activity against the bacteria E. coli and B. cereus and antifungal activity against the fungus P. fijiensis.Objective: To evaluate the antibacterial and antifungal activity of hydroethanolic extracts of Dionaea muscipula J. Ellis against bacteria models and fungi of agricultural importance. Design/Methodology/Approach: In vitro plants of D. muscipula were propagated and acclimatized for three months. The antibacterial activity of the hydroethanolic extracts against Escherichia coli and Bacillus cereus was evaluated, and the antifungal activity against Aspergillus niger, Fusarium oxysporum and Pseudocercospora fijiensis. Analysis of variance (ANOVA) was carried out to compare the means obtained with Tukey’s test (p≤0.05). Results: The hydroethanolic extracts of in vitro and acclimatized D. muscipula presented bacteriostatic activity against the bacteria E. coli (65.20 and 69.78 % of inhibition) and B. cereus (91.75 and 92.61 % of inhibition), and antifungal activity against the fungus P. fijiensis of 7.56 and 14.21 % of inhibition, respectively. Study Limitations/Implications: The hydroethanolic extracts of in vitro and acclimatized D. muscipula did not show antifungal activity against A. niger and F. oxysporum. Findings/Conclusions: The hydroethanolic extracts of in vitro and acclimatized D. muscipula presented bacteriostatic activity against bacteria E. coli and B. cereus and antifungal activity against the fungus P. fijiensis

Treatment with tocilizumab or corticosteroids for COVID-19 patients with hyperinflammatory state: a multicentre cohort study (SAM-COVID-19)

Objectives: The objective of this study was to estimate the association between tocilizumab or corticosteroids and the risk of intubation or death in patients with coronavirus disease 19 (COVID-19) with a hyperinflammatory state according to clinical and laboratory parameters. Methods: A cohort study was performed in 60 Spanish hospitals including 778 patients with COVID-19 and clinical and laboratory data indicative of a hyperinflammatory state. Treatment was mainly with tocilizumab, an intermediate-high dose of corticosteroids (IHDC), a pulse dose of corticosteroids (PDC), combination therapy, or no treatment. Primary outcome was intubation or death; follow-up was 21 days. Propensity score-adjusted estimations using Cox regression (logistic regression if needed) were calculated. Propensity scores were used as confounders, matching variables and for the inverse probability of treatment weights (IPTWs). Results: In all, 88, 117, 78 and 151 patients treated with tocilizumab, IHDC, PDC, and combination therapy, respectively, were compared with 344 untreated patients. The primary endpoint occurred in 10 (11.4%), 27 (23.1%), 12 (15.4%), 40 (25.6%) and 69 (21.1%), respectively. The IPTW-based hazard ratios (odds ratio for combination therapy) for the primary endpoint were 0.32 (95%CI 0.22-0.47; p < 0.001) for tocilizumab, 0.82 (0.71-1.30; p 0.82) for IHDC, 0.61 (0.43-0.86; p 0.006) for PDC, and 1.17 (0.86-1.58; p 0.30) for combination therapy. Other applications of the propensity score provided similar results, but were not significant for PDC. Tocilizumab was also associated with lower hazard of death alone in IPTW analysis (0.07; 0.02-0.17; p < 0.001). Conclusions: Tocilizumab might be useful in COVID-19 patients with a hyperinflammatory state and should be prioritized for randomized trials in this situatio

Clonal chromosomal mosaicism and loss of chromosome Y in elderly men increase vulnerability for SARS-CoV-2

The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, COVID-19) had an estimated overall case fatality ratio of 1.38% (pre-vaccination), being 53% higher in males and increasing exponentially with age. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, we found 133 cases (1.42%) with detectable clonal mosaicism for chromosome alterations (mCA) and 226 males (5.08%) with acquired loss of chromosome Y (LOY). Individuals with clonal mosaic events (mCA and/or LOY) showed a 54% increase in the risk of COVID-19 lethality. LOY is associated with transcriptomic biomarkers of immune dysfunction, pro-coagulation activity and cardiovascular risk. Interferon-induced genes involved in the initial immune response to SARS-CoV-2 are also down-regulated in LOY. Thus, mCA and LOY underlie at least part of the sex-biased severity and mortality of COVID-19 in aging patients. Given its potential therapeutic and prognostic relevance, evaluation of clonal mosaicism should be implemented as biomarker of COVID-19 severity in elderly people. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, individuals with clonal mosaic events (clonal mosaicism for chromosome alterations and/or loss of chromosome Y) showed an increased risk of COVID-19 lethality

Desafíos actuales de la educación superior

El presente libro corresponde al trabajo investigativo realizado por sus autores frente a los desafíos que enfrenta y enfrentará la educación en tiempos actuales (provisional)

Higher COVID-19 pneumonia risk associated with anti-IFN-α than with anti-IFN-ω auto-Abs in children

We found that 19 (10.4%) of 183 unvaccinated children hospitalized for COVID-19 pneumonia had autoantibodies (auto-Abs) neutralizing type I IFNs (IFN-alpha 2 in 10 patients: IFN-alpha 2 only in three, IFN-alpha 2 plus IFN-omega in five, and IFN-alpha 2, IFN-omega plus IFN-beta in two; IFN-omega only in nine patients). Seven children (3.8%) had Abs neutralizing at least 10 ng/ml of one IFN, whereas the other 12 (6.6%) had Abs neutralizing only 100 pg/ml. The auto-Abs neutralized both unglycosylated and glycosylated IFNs. We also detected auto-Abs neutralizing 100 pg/ml IFN-alpha 2 in 4 of 2,267 uninfected children (0.2%) and auto-Abs neutralizing IFN-omega in 45 children (2%). The odds ratios (ORs) for life-threatening COVID-19 pneumonia were, therefore, higher for auto-Abs neutralizing IFN-alpha 2 only (OR [95% CI] = 67.6 [5.7-9,196.6]) than for auto-Abs neutralizing IFN-. only (OR [95% CI] = 2.6 [1.2-5.3]). ORs were also higher for auto-Abs neutralizing high concentrations (OR [95% CI] = 12.9 [4.6-35.9]) than for those neutralizing low concentrations (OR [95% CI] = 5.5 [3.1-9.6]) of IFN-omega and/or IFN-alpha 2