992 research outputs found

    ARDRA for the identification of the coliform bacteria Citrobacter sedlakii and Citrobacter gilleni, from the wetland “Laguna de Tierra Blanca” Soacha, Cundinamarca

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    Muestras de agua del humedal “Laguna de tierra blanca” de Soacha, Cundinamarca, fueron sembradas en agar MacConkey y EMB. Una colonia verde metálico, catalasa positiva y oxidasa negativa se resembró de nuevo en agar EMB y fue sometida a la prueba bioquímica API E20. Se extrajo el DNA, se amplificó el gen 16S rRNA por PCR y se cortó con las endonucleasas de restricción AluI y HpyCH4III. Un análisis de ARDRA in silico fue realizado para 11 secuencias del gen 16S rRNA de todas las especies del género, reportadas en GenBank. El sistema API E20 reveló la presencia de Citrobacter sp. El análisis de ARDRA mostró que el patrón de bandas generado por HpyCH4III no presentó ninguna coincidencia con los reportados en GenBank. AluI presentó seis bandas con tamaños de 592, 338, 368, 227, 95, 92 y 49 pb, coincidiendo con las bandas in silico reportadas para las especies Citrobacter sedlakii y Citrobacter gillenii, presentándose para cada especie bacteriana una banda adicional. La banda de 367 pb identificó a C. gillenii y la de 338 pb a.C. sedlakii, concluyéndose que la colonia aislada contenía posiblemente estas dos cepas bacterianas.Water samples from the wetland "Laguna de Tierra Blanca" Soacha-Cundinamarca were isolated in MacConkey agar and EMB. A metallic green, catalase positive, and oxidase negative colony was reisolated again in EMB agar. The colony was subjected to biochemical test API E20. DNA was extracted, amplified 16S rRNA gene by PCR and cut with restriction endonucleases AluI and HpyCH4III. An in silicoARDRA analysis was performed to 11 sequences of 16S rRNA genes from all species of the genus reported in GenBank. The API E20 system revealed the presence of Citrobactersp. ARDRA analysis showed that the banding pattern generated by HpyCH4III made no agreement with those reported in GenBank. AluI showed 6 bands with sizes of 592, 338, 368, 227, 95, 92 and 49 bp, coinciding with the in silicobands reported for Citrobacter species and C. sedlakiiandC. gillenii, for each bacterial species presenting an additional band. The band of 367 bp identified C. gilleniiand 338 bp of a. C. sedlakii, concluding that the single colony may contain these two bacterial strains

    Using Large Language Models for Interpreting Autonomous Robots Behaviors

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    The deployment of autonomous robots in various domains has raised significant concerns about their trustworthiness and accountability. This study explores the potential of Large Language Models (LLMs) in analyzing ROS 2 logs generated by autonomous robots and proposes a framework for log analysis that categorizes log files into different aspects. The study evaluates the performance of three different language models in answering questions related to StartUp, Warning, and PDDL logs. The results suggest that GPT 4, a transformer-based model, outperforms other models, however, their verbosity is not enough to answer why or how questions for all kinds of actors involved in the interaction

    En comunitat, utilitza la creativitat! Compartim els projectes de treball comunitari: fira de projectes

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    En el marc de l'assignatura de treball social comunitari del grau de treball social de la Universitat de Barcelona es promou el treball cooperatiu i la participació activa dels estudiants, el qual incentiva el desenvolupament de les capacitats i habilitats dels estudiants i desperta les seves intel·ligències múltiples. Les propostes d'activitats creatives milloren la comprensió dels aprenentatges teòrics vinculats a la intervenció social comunitària

    Clinical-epidemiologic variation in patients treated in the first and second wave of COVID-19 in Lambayeque, Peru: A cluster analysis

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    "Objectives: To identify differences in the clinical and epidemiologic characteristics of patients during the first and second waves of the COVID-19 pandemic at the EsSalud Lambayeque health care network, Peru. Methods: An analytical cross-sectional study of 53,912 patients enrolled during the first and second waves of COVID-19 was conducted. Cluster analysis based on clustering large applications (CLARA) was applied to clinical-epidemiologic data presented at the time of care. The two pandemic waves were compared using clinical-epidemiologic data from epidemiologic surveillance. Results: Cluster analysis identified four COVID-19 groups with a characteristic pattern. Cluster 1 included the largest number of participants in both waves, and the participants were predominantly female. Cluster 2 included patients with gastrointestinal, respiratory, and systemic symptoms. Cluster 3 was the “severe” cluster, characterized by older adults and patients with dyspnea or comorbidities (cardiovascular, diabetes, obesity). Cluster 4 included asymptomatic, pregnant, and less severe patients. We found differences in all clinical-epidemiologic characteristics according to the cluster to which they belonged. Conclusion: Using cluster analysis, we identified characteristic patterns in each group. Respiratory, gastrointestinal, dyspnea, anosmia, and ageusia symptoms were higher in the second COVID-19 wave than the first COVID-19 wave

    Diagnosi de la Xarxa d'Atenció i Recuperació Integral per a les dones en situació de violència masclista

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    Avaluar la intervenció que es fa amb les dones,adolescents i nens en situació de violència masclista o en risc de patir-la, molt especialment la que fa referència a la consecució d'un habitatge, la inserció laboral i els acolliments d'urgències.• Identificar les especialitzacions dels i de les professionals que intervenen a la Xarxa, la seva formació respecte l'abordatge de la violència masclista, l'esgotament professional que poden sofrir i les estratègies desenvolupades per poder prevenir-ho. • Detectar les fortaleses i debilitats del funcionament de la Xarxa

    The Effect of Physical Activity and High Body Mass Index on Health-Related Quality of Life in Individuals with Metabolic Syndrome

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    [EN] The main objective of this study was to examine the relationship between the level of physical activity (PA) and the degree of obesity with health-related quality of life (HRQoL) in individuals with metabolic syndrome (MetS) who participated in the Predimed-Plus study. A total of 6875 subjects between 55 and 75 years of age with MetS were selected and randomized in 23 Spanish centers. Subjects were classified according to categories of body mass index (BMI). PA was measured with the validated Registre Gironi del Cor (REGICOR) questionnaire and subjects were classified according to their PA level (light, moderate, vigorous) and the HRQoL was measured with the validated short-form 36 (SF-36) questionnaire. By using the ANOVA model, we found a positive and statistically significant association between the level of PA and the HRQoL (aggregated physical and mental dimensions p < 0.001), but a negative association with higher BMI in aggregated physical dimensions p < 0.001. Furthermore, women obtained lower scores compared with men, more five points in all fields of SF-36. Therefore, it is essential to promote PA and body weight control from primary care consultations to improve HRQoL, paying special attention to the differences that sex incurs.SIThe Predimed-Plus trial was supported by the Spanish government’s official funding agency for biomedical research, ISCIII, through the Fondo de Investigación para la Salud (FIS), which is co-funded by the European Regional Development Fund (three coordinated FIS projects led by Jordi Salas-Salvadó and Josep Vidal, including the following projects: PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/0147, PI14/00636, PI14/00972, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI16/00473, PI16/00662, PI16/01873, PI16/01094, PI16/00501, PI16/00533, PI16/00381, PI16/00366, PI16/01522, PI16/01120, PI17/00764, PI17/01183, PI17/00855, PI17/01347, PI17/00525, PI17/01827, PI17/00532, PI17/00215, PI17/01441, PI17/00508, PI17/01732, PI17/00926, PI19/00957, PI19/00386, PI19/00309, PI19/01032, PI19/00576, PI19/00017, PI19/01226, PI19/00781, PI19/01560, PI19/01,332), the Special Action Project entitled: Implementación y evaluación de una intervención intensiva sobre la actividad física Cohorte PREDIMED-PLUS grant to Jordi Salas-Salvadó, the European Research Council (Advanced Research Grant 2013–2018; 340918) grant to Miguel Ángel Martínez-Gonzalez, the Recercaixa grant to Jordi Salas-Salvadó (2013ACUP00194), grants from the Consejería de Salud de la Junta de Andalucía (PI0458/2013; PS0358/2016; PI0137/2018), the PROMETEO/2017/017 grant from the Generalitat Valenciana, the SEMERGEN grant and FEDER funds (CB06/03 and CB12/03), Olga Castaner is funded by the JR17/00,022 grant, ISCIII. Christopher Papandreou is supported by a postdoctoral fellowship granted by the Autonomous Government of Catalonia (PERIS 2016–2020 Incorporació de Científics i Tecnòlegs, SLT002/0016/00,428). María Rosa Bernal-Lopez was supported by “Miguel Servet Type I” program (CP15/00028) from the ISCIII-Madrid (Spain), cofinanced by the Fondo Europeo de Desarrollo Regional-FEDER, Ignacio M.Giménez-Alba is supported by a FPU predoctoral contract (reference FPU18/01703) from the Ministerio de Ciencia, Innovación y Universidades, Spain

    The genetic architecture of the human cerebral cortex

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    The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

    Global wealth disparities drive adherence to COVID-safe pathways in head and neck cancer surgery

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    Measurement of t(t)over-bar normalised multi-differential cross sections in pp collisions at root s=13 TeV, and simultaneous determination of the strong coupling strength, top quark pole mass, and parton distribution functions

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    An embedding technique to determine ττ backgrounds in proton-proton collision data

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    An embedding technique is presented to estimate standard model tau tau backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed mu mu events and replaced with simulated tau leptons with the same kinematic properties. In this way, a set of hybrid events is obtained that does not rely on simulation except for the decay of the tau leptons. The challenges in describing the underlying event or the production of associated jets in the simulation are avoided. The technique described in this paper was developed for CMS. Its validation and the inherent uncertainties are also discussed. The demonstration of the performance of the technique is based on a sample of proton-proton collisions collected by CMS in 2017 at root s = 13 TeV corresponding to an integrated luminosity of 41.5 fb(-1).Peer reviewe
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