Aplicación de los principios de inteligencia artificial para el autoaprendizaje, autocorrección y autoevaluación de prácticas gráficas

Con el objeto de impulsar nuevos métodos que mejoren la calidad docente, hemos realizado esta investigación para ofrecer nuevos procedimientos de evaluación utilizando principios que hasta ahora sólo se habían desarrollado para tareas de diagnóstico, evaluación y resolución de problemas. Los estudiantes y profesores dispondrán de un instrumento que, de manera objetiva, permita una auto-corrección continua mediante bases de datos, inferencias y cálculos de certidumbre propias de los principios de la inteligencia artificial. Esta innovación experimental pondrá en práctica una nueva técnica de enseñanza coherente con los objetivos de participación activa del alumnado en su propio aprendizaje. Siendo conscientes del alto grado de relación entre el fracaso académico y las deficiencias en cuanto a habilidades gráficas que poseen los alumnos de carreras técnicas, se ha intentado con la presente investigación desarrollar un sistema experto basado en las teorías probabilísticas más utilizadas para sistemas de inteligencia artificial (teorema de Bayes) al uso, con el fin de diagnosticar las posibles deficiencias en cuanto al desarrollo de dichas habilidades y con ello poder recomendar la intensificación en la realización de los ejercicios más adecuados para corregir dichas deficiencias, al tiempo que el propio alumno puede, vía web, experimentar con la aplicación para aprender de forma autodidacta y autocorregirse.To promote new methods to improve teacher quality, this research offers new evaluation procedures using principles of diagnosis, evaluation and troubleshooting. Students and teachers have a tool to self-correction through databases, inferences and calculations of certainty, peculiar to the principles of artificial intelligence. This innovation aims to develop a new teaching technique with active participation of students in their own learning. We know that there is a relationship between school failure and lack of graphic skills of students. With this research we have tried to develop a probabilistic expert system (Bayes theorem) to diagnose weaknesses and recommend the implementation of the exercises. With this web tool, students can follow the rules for self-learning and self-correcte

Comparative microbial ecology of the water column of an extreme acidic pit lake, Nuestra Señora del Carmen, and the Río Tinto basin (Iberian Pyrite Belt)

The Iberian Pyrite Belt, located in Southwestern Spain, represents one of the world’s largest accumulations of mine wastes and acid mine drainages. This study reports the comparative microbial ecology of the water column of Nuestra Señora del Carmen acid pit lake with the extreme acidic Río Tinto basin. The canonical correspondence analysis identified members of the Leptospirillum, Acidiphilium, Metallibacterium, Acidithiobacillus, Ferrimicrobium and Acidisphaera genera as the most representative microorganisms of both ecosystems. The presence of archaeal members is scarce in both systems. Only sequences clustering with the Thermoplasmata have been retrieved in the bottom layer of Nuestra Señora del Carmen and one station of Río Tinto. Although the photosynthetically active radiation values measured in this lake upper layer were low, they were sufficient to activate photosynthesis in acidophilic microorganisms. All identified photosynthetic microorganisms in Nuestra Señora del Carmen (members of the Chlamydomonas, Zygnemopsis and Klebsormidium genera) are major members of the photosynthetic eukaryotic community characterized in Río Tinto basin. This study demonstrates a close relationship between the microbial diversity of Nuestra Señora del Carmen pit lake and the diversity detected in the Río Tinto basin, which underlain the influence of the shared mineral substrates in the microbial ecology of these ecosystems. [Int Microbiol 2014; 17(4):225-233]Keywords: iron cycle · acidic pit lakes · acidophilic microorganisms · Río Tinto · Iberian Pyrite Bel

Wave Energy Assessment at Valencia Gulf and Comparison of Energy Production of Most Suitable Wave Energy Converters

eaports’ energy strategy should rely on the use of renewable energy. Presently, the share of renewable energy used by many of the ports worldwide is negligible. Some initiatives are in the process of implementation to produce some of the energy used by the Port of Valencia, one the largest ports in the Mediterranean Basin. Among these initiatives, a photovoltaic plant with an installed capacity of 5.5 MW is under a tendering process and the assessment studies for the deployment of three to five windmills are close to being finished. However, this is not enough to make it a “zero emissions port” as some of the energy demand would still be covered by fossil fuels. Therefore, we should consider clean alternative energy sources. This article analyses the wave energy resources in the surroundings of the Port of Valencia using a 7-year series of data obtained from numerical modelling (forecast). The spatial distribution of wave power is analysed using data from 3 SIMAR points at Valencia Bay and is compared to the data obtained by the Valencia Buoy I (removed in 2005). The obtained results are used to estimate the power matrices and the average energy output of two wave energy converters suitable to be integrated into the port’s infrastructure. Finally, the wave energy converters’ production is compared to the average amount of energy that is forecast to be obtained from other renewable sources such as solar and wind. Due to the nature of the Gulf’s wave climate (mostly low waves), the main conclusion is that the energy obtainable from the waves in the Valencia Gulf will be in correlation with such climate. However, when dealing with great energy consumers every source of production is worthwhile and further research is needed to optimize the production of energy from renewable sources and its use in an industrial environment such as ports

Inappropriate prescribing to older patients admitted to hospital: A comparison of different tools of misprescribing and underprescribing

Purpose: This study aims to assess inappropriate prescribing (IP) to elderly patients during the month prior to hospitalization and to compare different IP criteria. Methods: An observational, prospective and multicentric study was carried out in the internal medicine services of seven Spanish hospitals. Patients aged 75 years and older were randomly selected after hospital admission for a year. To assess potentially inappropriate medicines (PIMs), the Beers and STOPP criteria were used and to assess Potentially Prescribing Omissions (PPOs), the START criteria and ACOVE-3 medicine quality indicators were used. An analysis to assess factors associated with IP was performed. Results: 672 patients [median age (Q1_Q3) 82 (79-86) years, 55.9% female] were included. Median prescribed medicines in the month prior to hospitalization were 10(Q1-Q3 7-13). The prevalence of IP was 87.6%, and 54.3% of patients had PIMs and PPOs concurrently. A higher prevalence rate of PIMs was predicted using the STOPP criteria than with the Beers criteria (p<.001) and a higher prevalence of PPOs using the ACOVE-3 criteria than using the START criteria (p<.001) was observed. Polypharmacy (≥10 medicines) was the strongest predictor of IP [OR=11.34 95% confidence interval (CI) 4.96-25.94], PIMs [OR=14.16, 95% CI 6.44-31.12], Beers-listed PIMs [OR=8.19, 95% CI 3.01-22.28] and STOPP-listed PIMs [OR=8.21, 95% CI 3.47-19.44]. PIMs was the strongest predictor of PPOs [OR=2.79, 95% CI 1.81-4.28]. Conclusions: A high prevalence of polypharmacy and PIMs and PPOs were reported. More than half the patients had simultaneous PIMs and PPOs. The related factors to PIMs and PPOs were different

BERT Learns From Electroencephalograms About Parkinson's Disease: Transformer-Based Models for Aid Diagnosis.

Medicine is a complex field with highly trained specialists with extensive knowledge that continuously needs updating. Among them all, those who study the brain can perform complex tasks due to the structure of this organ. There are neurological diseases such as degenerative ones whose diagnoses are essential in very early stages. Parkinson’s disease is one of them, usually having a confirmed diagnosis when it is already very developed. Some physicians have proposed using electroencephalograms as a non-invasive method for a prompt diagnosis. The problem with these tests is that data analysis relies on the clinical eye of a very experienced professional, which entails situations that escape human perception. This research proposes the use of deep learning techniques in combination with electroencephalograms to develop a non-invasive method for Parkinson’s disease diagnosis. These models have demonstrated their good performance in managing massive amounts of data. Our main contribution is to apply models from the field of Natural Language Processing, particularly an adaptation of BERT models, for being the last milestone in the area. This model choice is due to the similarity between texts and electroencephalograms that can be processed as data sequences. Results show that the best model uses electroencephalograms of 64 channels from people without resting states and finger-tapping tasks. In terms of metrics, the model has values around 86%.post-print1134 K

Using the FVB strain of mice for the evaluation of clinical and experimental ketamine (IP) associated with phenothiazines, benzodiazepines and α2-agonists

El objetivo de este trabajo ha consistido en evaluar el estado fisiológico de los animales mediante el control de las frecuencias respiratoria y cardiaca así como la tasa de saturación de oxígeno durante la anestesia con ketamina asociada a otros fármacos. Para ello hemos utilizado 40 ratones FVB consanguíneos (20 machos y 20 hembras) de 11 semanas de edad, a los que se les administró por vía intraperitoneal ketamina asociada a un depresor del sistema nervioso central: acepromazina, diazepam, medetomidina, midazolam o xilazina. Obtuvimos resultados que difirieron mucho entre sexos, concluyendo que en machos los mejores resultados obtenidos fueron con la asociación a los α2-agonistas, mientras que en las hembras, al menos a las dosis empleadas, no pudimos afirmar que ninguna de las asociaciones fuese óptima.The aim of this work has been to evaluate the physiological status of animals by controlling the respiratory rate and heart rate and oxygen saturation during anesthesia with ketamine in combination with other drugs. We have used 40 consanguine FVB mice (20 males and 20 females) from 11 weeks of age, who were administered intraperitoneally with a ketamine-associated central nervous system depressant:acepromazina, diazepam, medetomidine, midazolam or xylazine. We obtained results that differed greatly between the sexes, in males, concluding that the best results were obtained with the association of α2- agonists, while in females, at least at the doses employed, did not say that none of the associations were optima

Interdisciplinarity of scientific production on hate speech and social media: A bibliometric analysis

Las repercusiones que tiene el discurso del odio, tanto a nivel personal como social, se han intensificado con las redes sociales. Esto lo ha convertido en centro de interés de numerosas revistas científicas, lo que incrementa la visibilización de esta problemática global. El objetivo de esta investigación es analizar las métricas básicas descriptivas de la producción científica sobre el discurso del odio y redes sociales, así como explorar la interdisciplinariedad de estos enfoques. Se ha llevado a cabo un estudio bibliométrico a partir de trabajos indexados en la base de datos Scopus relacionados con el binomio «discurso de odio» y «redes sociales», en un período temporal de 20 años (2001 a 2020). Las métricas utilizadas demuestran que, a partir del año 2017, esta temática comienza a despertar mayor interés entre los investigadores, constituyéndose un indicador suficiente para considerar el tema como de interés por parte de la comunidad científica. La investigación conjunta entre ambos conceptos eleva sus niveles de calidad desde un punto de vista estrictamente métrico. Las áreas «Computer Science» y «Social Sciences» son las dos que definen claramente la producción científica sobre este tema. La inversión de porcentajes en cuanto a áreas de procedencia de los trabajos y citas en estas dos áreas evidencian esta interdisciplinariedad. Los indicadores obtenidos muestran la relevancia y trascendencia de un problema social ante el que se deben implementar medidas proactivas.The impact of hate speech, both on a personal and social level, has increased due to social media. This has made it the focus of interest of numerous scientific journals, which increases the visibility of this global problem. The aim of this research is to analyse the basic descriptive metrics of the scientific production on hate speech and social media, as well as to explore the interdisciplinarity of these approaches. A bibliometric study has been carried out on the basis of the works indexed in the Scopus database related to the binomial ‘hate speech’ and ‘social media’ over a period of 20 years (2001 to 2020). The metrics used show that it is from 2017 onwards when this topic begins to arouse greater interest among researchers and that they constitute a sufficient indicator to consider the topic as one of interest to the scientific community. The joint research between both concepts raises its quality levels from a strictly metric point of view. ‘Computer Science’ and ‘Social Sciences’ are the two areas that clearly define the scientific production on this subject. The inversion of percentages in terms of the areas of origin of the works and citations in these two areas, is evidence of this interdisciplinarity. The indicators obtained show the relevance and transcendence of a social problem in the face of which proactive measures must be implemente

Use of transcriptomics and co-expression networks to analyze the interconnections between nitrogen assimilation and photorespiratory metabolism

Nitrogen is one of the most important nutrients for plants and, in natural soils, its availability is often a major limiting factor for plant growth. Here we examine the effect of different forms of nitrogen nutrition and of photorespiration on gene expression in the model legume Lotus japonicus with the aim of identifying regulatory candidate genes co-ordinating primary nitrogen assimilation and photorespiration. The transcriptomic changes produced by the use of different nitrogen sources in leaves of L. japonicus plants combined with the transcriptomic changes produced in the same tissue by different photorespiratory conditions were examined. The results obtained provide novel information on the possible role of plastidic glutamine synthetase in the response to different nitrogen sources and in the C/N balance of L. japonicus plants. The use of gene co-expression networks establishes a clear relationship between photorespiration and primary nitrogen assimilation and identifies possible transcription factors connected to the genes of both routes.España. Ministerio de Economía y Competitividad AGL2014-54413-REspaña Junta de Andalucia, Consejería de Economía, Innovación y Ciencia BIO-163España Junta de Andalucia, Consejería de Economía, Innovación y Ciencia P10-CVI-636

Evaluation of toxicological endpoints in female zebrafish after bisphenol A exposure

Given the importance of bisphenol A (BPA) as a xenoestrogen and its potential effects on human and animal, we evaluated BPA exposure's short-term effects on follicular development, yolk protein vitellogenin (VTG) production and aromatase expression in female zebrafish. Histological modifications were observed along with increased presence of atretic follicles. Whole-body VTG concentration increased with the dose of BPA exposure. In contrast, expression of Cyp19a mRNA in the ovaries of BPA-exposed fish exhibited an apparent non- monotonic response curve, marked by downregulation at 1 μg/L BPA, upregulation at 10 μg/L BPA, and a return to downregulation at 100 μg/L BPA and higher doses. Ovaries only exhibited significant increases in follicular atresia and VTG concentration after exposure to 100 μg/L BPA and higher doses. Ovarian histopathology, ar- omatase Cyp19a transcript levels and whole-body VTG protein abundance may be good biomarkers for early detection of environmental BPA exposur

Deciphering a Marine Bone-Degrading Microbiome Reveals a Complex Community Effort

The marine bone biome is a complex assemblage of macro- and microorganisms; however, the enzymatic repertoire to access bone-derived nutrients remains unknown. The bone matrix is a composite material made up mainly of organic collagen and inorganic hydroxyapatite. We conducted field experiments to study microbial assemblages that can use organic bone components as nutrient source. Bovine and turkey bones were deposited at 69 m depth in a Norwegian fjord (Byfjorden, Bergen). Metagenomic sequence analysis was used to assess the functional potential of microbial assemblages from bone surface and the bone-eating worm Osedax mucofloris, which is a frequent colonizer of whale falls and known to degrade bone. The bone microbiome displayed a surprising taxonomic diversity revealed by the examination of 59 high-quality metagenome-assembled genomes from at least 23 bacterial families. Over 700 genes encoding enzymes from 12 relevant enzymatic families pertaining to collagenases, peptidases, and glycosidases putatively involved in bone degradation were identified. Metagenome-assembled genomes (MAGs) of the class Bacteroidia contained the most diverse gene repertoires. We postulate that demineralization of inorganic bone components is achieved by a timely succession of a closed sulfur biogeochemical cycle between sulfur-oxidizing and sulfur-reducing bacteria, causing a drop in pH and subsequent enzymatic processing of organic components in the bone surface communities. An unusually large and novel collagen utilization gene cluster was retrieved from one genome belonging to the gammaproteobacterial genus Colwellia