Real and ideal perception of the intelligent classroom environment of future teachers

The proliferation of information and communication technology tools in the last years has led many teachers to review the way they teach and structure their learning environments. The growth of technological applications in teaching and the training of future teachers is not only gaining momentum; it is also becoming an important part of the current educational scene. The objectives of this study were to adapt and validate the Real and Ideal Intelligent Classroom Questionnaires (REQSC) and (IEQSC), and to determine if there were significant differences in the perception that future teachers had of the real and ideal environment of intelligent classrooms. A quantitative methodology was used, applying the statistical software SPSS 23 for the factor analysis. The results indicated that both questionnaires showed a valid and reliable internal consistency. The real and ideal perceptions of the use of technology as a learning tool and access to information make it clear that it is currently being used correctly. It is important that future teachers acquire adequate skills for their use and research in different topics

La utilización conjunta de la pizarra digital interactiva y el sistema de participación Senteo: una experiencia universitaria.

La pizarra digital interactiva permite una progresiva innovación en las prácticas docentes, una mejora en la motivación y la atención de los alumnos, y la disponibilidad de nuevas herramientas para atender a la diversidad de los alumnos, especialmente a aquellos alumnos con discapacidad o dificultades severas o moderadas para el aprendizaje. En esta experiencia, se ha desarrollado una metodología de participación activa, participativa, dinámica y comunicativa. Las conclusiones a las que hemos llegado en nuestra experiencia de utilización conjunta de la pizarra digital interactiva (P.D.I.) y el sistema interactivo de evaluación, han sido las siguientes: La utilización de la P.D.I. promueve un comportamiento activo por parte del alumno; El sistema de votación facilita la evaluación continua de los alumnos; El sistema de votación potencia la motivación y la atención del alumnado en general; Los alumnos han participado más en clase al utilizar el sistema de votación; Su concentración, atención es mayor al utilizar en clase el sistema de votación.The interactive digital whiteboard allows a progressive innovation in the educational practices, an improvement in the motivation and the attention of the pupils, and the availability of new tools to attend to the diversity of the pupils, specially to those pupils with disability or difficulties severe or moderated for the learning. In this experience, there has developed a methodology of active, participative, dynamic and communicative participation. The conclusions to which we have come in our experience of joint utilization of the interactive digital whiteboard (IWB) and the interactive system of evaluation, they have been the following ones: The utilization of the IWB promotes an active behavior on the part of the pupil; The system of voting facilitates the continuous evaluation of the pupils; The system of voting promotes the motivation and the attention of the student body in general; The pupils have taken part more in class on having used the system of voting; His concentration, attention is major on having used in class the system of voting

Determination of synthetic opioids in oral fluid samples using fabric phase sorptive extraction and gas chromatography-mass spectrometry

New psychoactive substances (NPS) continue to emerge in the drug market every year, becoming a global threat to public health and safety. These compounds are mostly synthetic cannabinoids and designer cathinones. However, synthetic opioids have appeared on the recreational drug markets in recent years, particularly fentanyl and its derivatives (“fentanyls”). Fentanyl and its analogs are related to harmful intoxications and an increase in opioid-related mortality in many countries, such as in the United States and Europe in the last years. Taking the drug related global crisis into consideration, this work developed and validated an effective and sensitive method based on fabric phase sorptive extraction (FPSE) followed by gas chromatography-mass spectrometry (GC-MS) for the simultaneous determination of 11 fentanyl analogs in oral fluid samples. The extraction was carried out using a sol-gel Carbowax 20 M sorbent immobilized on 100% cellulose fabric substrate and using ethyl acetate as the desorption solvent. The limits of detection (LODs) and quantification (LOQs) ranged from 1 to 15 ng mL−1 and 5 to 50 ng mL−1, respectively. Intra-day and inter-day precision were found within 8.2% and 8.6%, respectively, while accuracy ranged from -5.5 to 9.1%, in accordance with the established criteria. The absolute recovery values were in the range of 94.5%–109.1%. The validated method demonstrated its great potential to detect and quantify fentanyl analogs in possible forensic work and off-site analysis in road traffic casesThis work was supported by the Spanish Ministry of Science, Innovation, and Universities (Project RTI2018‐096450‐B‐I00) and FEDER fundsS

Diseño de una metodología para la implantación de herramientas automáticas de corrección de estilo y buenas prácticas en asignaturas de programación

Depto. de Sistemas Informáticos y ComputaciónFac. de InformáticaFALSEsubmitte

Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO

[EN]The study of biotic and abiotic factors and their interrelationships is essential in the preservation of sustainable marine ecosystems and for understanding the impact that climate change can have on different species. For instance, phytoplankton are extremely vulnerable to environmental changes and thus studying the factors involved is important for the species’ conservation. This work examines the relationship between phytoplankton and environmental parameters of the eastern equatorial Pacific, known as one of the most biologically rich regions in the world. For this purpose, a new multivariate method called MixSTATICO has been developed, allowing mixed-type data structured in two different groups (environment and species) to be related and measured on a space–time scale. The results obtained show how seasons have an impact on species–environment relations, with the most significant association occurring in November and the weakest during the month of May (change of season). The species Lauderia borealis, Chaetoceros didymus and Gyrodinium sp. were not observed in the coastal profiles during the dry season at most stations, while during the rainy season, the species Dactyliosolen antarcticus, Proboscia alata and Skeletonema costatum were not detected. Using MixSTATICO, species vulnerable to specific geographical locations and environmental variations were identified, making it possible to establish biological indicators for this region

Zooplankton distribution in a marine protected area: the Berlengas Natural Reserve (Western Coast of Portugal)

Zooplankton distribution in the Berlengas Natural Reserve (Portugal) was studied over a period of one year (February 2006 to February 2007). Monthly sampling was performed at 6 stations, differentiated according to depth and distance to the coastline. The aim of this study was to investigate the overall zooplankton variability through its different dimensions (space vs. time). The Partial Triadic Analysis (PTA) was used to study the spatial variability of the zooplankton community and its dynamics in time and the dynamic trajectories of the zooplankton species for each site. It was possible to distinguish a neritic-ocean gradient of the zooplankton composition and a temporal variability. Four distinct periods can be highlighted considering the distribution of the dates and the arrangement of the species: (i) the first one comprised August to November, (ii) the second one was related to June and July, (iii) the third one associated with spring (April and May) and, (iv) the latest one was related to winter (February, March and December 2006 and January and February 2007). The PTA method showed the similarities between the successive data tables and proved to be useful for investigating biotic structures and detecting spatial-temporal patterns in zooplankton distribution.publishe

Zooplankton distribution in a marine protected area: The Berlengas Natural Reserve, Western Coast of Portugal

Zooplankton distribution in the Berlengas Natural Reserve (Portugal) was studied over a period of one year (February 2006 to February 2007). Monthly sampling was performed at 6 stations, differentiated according to depth and distance to the coastline. The aim of this study was to investigate the overall zooplankton variability through its different dimensions (space vs. time). The Partial Triadic Analysis (PTA) was used to study the spatial variability of the zooplankton community and its dynamics in time and the dynamic trajectories of the zooplankton species for each site. It was possible to distinguish a neritic-ocean gradient of the zooplankton composition and a temporal variability. Four distinct periods can be highlighted considering the distribution of the dates and the arrangement of the species: (i) the first one comprised August to November, (ii) the second one was related to June and July, (iii) the third one associated with spring (April and May) and, (iv) the latest one was related to winter (February, March and December 2006 and January and February 2007). The PTA method showed the similarities between the successive data tables and proved to be useful for investigating biotic structures and detecting spatial-temporal patterns in zooplankton distribution.info:eu-repo/semantics/publishedVersio

Benefit of ancillary data acquired at the cooperative level to study soil type and climatic zone influence on berry composition: a case study in Rioja appellation

Aim: The main objective of this study was to evaluate the influence of soil type and climate on must qualitative parameters in a winegrower’s cooperative at Rioja appellation. Methods and results: The study was conducted from 2009 to 2011 with data collected routinely before harvest by the technician of a cooperative with a total surface area of 525 ha. Soils were classified using an existing soil map (1:50.000 scale) according to their water-holding capacity (WHC), and two climatic zones were differentiated based on the Huglin index. Effects of soil and climate on berry composition were evaluated using HJ-Biplot statistical analysis. High WHC soils produced musts with high total acidity, mainly due to malic acid. Must K concentrations were lower in soils with lower K and clay content. Soils with lower WHC were the only ones able to produce musts with high anthocyanin concentration and higher colour intensity. The climatic zones established only resulted in small differences in grape composition. Conclusion: It is possible to differentiate berry composition parameters according to soil type considering soil WHC, but less clear differences were observed among climatic zones considering a 50 km2 area and a difference of approximately 200 m in elevation between the two zones. Significance and impact of the study: Many wineries have access to soil, climate and grape composition data. Therefore, these data could be used to make a grape composition classification at harvest that could be assessed every year using simple statistical tools

mtDNA variability determines spontaneous joint aging damage in a conplastic mouse model.

Mitochondria and mtDNA variations contribute to specific aspects of the aging process. Here, we aimed to investigate the influence of mtDNA variation on joint damage in a model of aging using conplastic mice. A conplastic (BL/6NZB) mouse strain was developed with the C57BL/6JOlaHsd nuclear genome and NZB/OlaHsd mtDNA, for comparison with the original C57BL/6JOlaHsd strain (BL/6C57). Conplastic (BL/6NZB) and BL/6C57 mice were sacrificed at 25, 75, and 90 weeks of age. Hind knee joints were processed for histological analysis and joint pathology graded using the Mankin scoring system. By immunohistochemistry, cartilage expression of markers of autophagy (LC3, Beclin-1, and P62) and markers of senescence (MMP13, beta-Galactosidase, and p16) and proliferation (Ki67) were analyzed. We also measured the expression of 8-oxo-dG and cleaved caspase-3. Conplastic (BL/6NZB) mice presented lower Mankin scores at 25, 75, and 90 weeks of age, higher expression of LC3 and Beclin-1 and lower of P62 in cartilage than the original strain. Moreover, the downregulation of MMP13, beta-Galactosidase, and p16 was detected in cartilage from conplastic (BL/6NZB) mice, whereas higher Ki67 levels were detected in these mice. Finally, control BL/6C57 mice showed higher cartilage expression of 8-oxo-dG and cleaved caspase-3 than conplastic (BL/6NZB) mice. This study demonstrates that mtDNA genetic manipulation ameliorates joint aging damage in a conplastic mouse model, suggesting that mtDNA variability is a prognostic factor for aging-related osteoarthritis (OA) and that modulation of mitochondrial oxidative phosphorylation (OXPHOS) could be a novel therapeutic target for treating OA associated with aging.This work was supported by grants from Fondo de Investigación Sanitaria (PI16/02124, PI19/01206 and RETIC-RIER-RD16/0012/0002) integrated in the National Plan for Scientific Program, Development and Technological Innovation 2013–2016, and funded by the ISCIII-General Subdirection of Assessment and Promotion of Research-European Regional Development Fund (FEDER) “A way of making Europe”, by Grant IN607A2021/07 from GAIN, Xunta de Galicia (F.J.B.) and by CIBERFES-ISCIII, MINECO: SAF2015-65633-R, RTI2018-099357-BI00, and HFSP (RGP0016/2018) to J.A.E.S

Role of biological and non biological factors in congestive heart failure mortality: PREDICE-SCORE: A clinical prediction rule

Background: Congestive heart failure (HF) is a chronic, frequent and disabling condition but with a modifiable course and a large potential for improving. The aim of this project was to develop a clinical prediction model of biological and non biological factors in patients with first diagnosis of HF that facilitates the risk-stratification and decision-making process at the point of care. Methods and Results: Historical cohort analysis of 600 patients attended at three tertiary hospitals and diagnosed of a first episode of HF according Framingham criteria. There were followed 1 year. We analyzed sociodemographic, clinical and laboratory data with potential prognostic value. The modelling process concluded into a logistic regression multivariable analysis and a predictive rule: PREDICE SCORE. Age, dependency for daily basic activities, creatinine clearance, sodium levels at admission and systolic dysfunction diagnosis (HF with left ventricular ejection fraction < 40%) were the selected variables. The model showed a c-statistic of 0.763. PREDICE Score, has range of 22 points to stratifications of 1-year mortality. Conclusions: The follow-up of 600 patients hospitalized by a first episode of congestive HF, allowed us to obtain a predictive 1 year mortality model from the combination of demographic data, routine biochemistry and easy handling social and functional variables at the point of care. The variables included were non-invasive, undemanding to collect, and widely available. It allows for risk stratification and therapeutical targeting and may help in the clinical decisions process in a sustainable way