Metodología juego-trabajo y su importancia en el desarrollo de habilidades cognitivas en niños de preescolar en el distrito de Penonomé.

With the passing of time, technological, scientific, and humanistic changes, specifically in the field of education, have made great progress, especially in the methods used by teachers in their pedagogical work, in preschool education, the play-work methodology has emerged as a trategy to optimize children's learning experiences, thus making them more meaningful and exciting, thus avoiding the routine education that kept the child passive and without the opportunity to exploit their potential. Therefore, this study focuses on knowing the importance of the play-work methodology and the relationship it has in the development of cognitive abilities in preschool children. A descriptive study with a quantitative approach was carried out and a structured survey with 10 questions related to the topic under investigation was used as a tool for data collection. This instrument was applied to 40 teachers of the Penonomé district, but it was only fully answered by 20 preschool teachers from these schools. The results determined that 65% of teachers consider that the play-work methodology develops skills in preschool children, it is worth mentioning that 35% indicate that this methodology does not contribute or does not enhance any skills in preschool children. 50% of the respondents indicate that this methodology provides or enhances the cognitive skills necessary for children at this educational level, which indicates that there are teachers who do not use it, therefore, it is necessary to make known how important it is for the child. That this methodology be resumed in the classroom, which is of many benefits for them.Con el pasar de los tiempos los cambios tecnológicos, científicos y humanísticos específicamente en el campo de la educación han tenido un  gran avance sobre todo en los métodos utilizados por los maestros en su quehacer pedagógico, en la educación preescolar, la metodología juego-trabajo ha surgido como una estrategia para optimizar las experiencias de aprendizaje en los niños logrando así que estas sean más significativas e interesantes, evadiendo de esta manera la educación rutinaria que mantenía al niño pasivo y sin oportunidad de  explotar su potencial. Por ello, este estudio se enfoca en conocer la importancia de la metodología juego-trabajo y la relación que tiene en el desarrollo de las habilidades cognitivas en los infantes de preescolar. Se ejecutó un estudio descriptivo con un enfoque cuantitativo y se utilizó como herramienta para recolección de información una encuesta estructurada con 10 preguntas relacionadas al tema en estudio. Este instrumento fue aplicado a 40 docentes del distrito de Penonomé, pero solo fue contestada de manera completa por 20 docentes de preescolar de estas escuelas. Los resultados determinaron que 65% de los docentes consideran que la metodología juego-trabajo desarrolla habilidades en los niños de preescolar, cabe mencionar que un 35% indica que esta metodología no aporta o no potencia ningún tipo de habilidades en los infantes de preescolar. El 50 % de los encuestados señalan que esta metodología aporta o potencia habilidades cognitivas necesarias para los niños de este nivel educativo, lo que indica que hay docentes que no la utilizan, por ende, es necesario dar a conocer lo importante que es para el niño que se retome en las aulas de clases esta metodología que resulta de muchos beneficios para ellos

Essentials In Ontology Engineering: Methodologies, Languages, And Tools

In the beginning of the 90s, ontology development was similar to an art: ontology developers did not have clear guidelines on how to build ontologies but only some design criteria to be followed. Work on principles, methods and methodologies, together with supporting technologies and languages, made ontology development become an engineering discipline, the so-called Ontology Engineering. Ontology Engineering refers to the set of activities that concern the ontology development process and the ontology life cycle, the methods and methodologies for building ontologies, and the tool suites and languages that support them. Thanks to the work done in the Ontology Engineering field, the development of ontologies within and between teams has increased and improved, as well as the possibility of reusing ontologies in other developments and in final applications. Currently, ontologies are widely used in (a) Knowledge Engineering, Artificial Intelligence and Computer Science, (b) applications related to knowledge management, natural language processing, e-commerce, intelligent information integration, information retrieval, database design and integration, bio-informatics, education, and (c) the Semantic Web, the Semantic Grid, and the Linked Data initiative. In this paper, we provide an overview of Ontology Engineering, mentioning the most outstanding and used methodologies, languages, and tools for building ontologies. In addition, we include some words on how all these elements can be used in the Linked Data initiative

FIR-detected Lyman break galaxies at z ~ 3: Dust attenuation and dust correction factors at high redshift

Lyman break galaxies (LBGs) represent one of the kinds of star-forming galaxies that are found in the high-redshift universe. The detection of LBGs in the FIR domain can provide very important clues on their dust attenuation and total SFR, allowing a more detailed study than those performed so far. In this work we explore the FIR emission of a sample of 16 LBGs at z ~ 3 in the GOODS-North and GOODS-South fields that are individually detected in PACS-100um or PACS-160um. These detections demonstrate the possibility of measuring the dust emission of LBGs at high redshift. We find that PACS-detected LBGs at z ~ 3 are highly obscured galaxies which belong to the Ultra luminous IR galaxies or Hyper luminous IR galaxies class. Their total SFR cannot be recovered with the dust attenuation factors obtained from their UV continuum slope or their SED-derived dust attenuation employing Bruzual & Charlot (2003) templates. Both methods underestimate the results for most of the galaxies. Comparing with a sample of PACS-detected LBGs at z ~ 1 we find evidences that the FIR emission of LBGs might have changed with redshift in the sense that the dustiest LBGs found at z ~ 3 have more prominent FIR emission, are dustier for a given UV slope, and have higher SFR for a given stellar mass than the dustiest LBGs found at z ~ 1.Comment: Accepted for publication in A&A letter

Validez del Ages & Stages questionnaires para predecir el desempeño cognitivo en los primeros años de educación escolar

ResumenIntroducciónEl Ages and Stages questionnaires (ASQ) fue validado en nuestro país para el tamizaje del desarrollo psicomotor. El objetivo es evaluar la validez del ASQ para predecir un menor rendimiento cognitivo en los primeros años de educación escolar.Pacientes y métodoEstudio de pruebas diagnósticas en una muestra de niños de nivel socioeconómico medio alto evaluados previamente con ASQ a los 8, 18 y/o 30 meses, y luego con la Escala de inteligencia para niños de Wechsler-tercera edición (WISC-III) entre los 6 y 9 años de edad. Cada evaluación con ASQ se contabilizó en forma independiente. La Escala de WISC-III fue estandarizada para la muestra, considerando rendimiento bajo cuando el puntaje total estaba bajo una desviación estándar de la media.ResultadosSe incluyeron 123 niños, correspondientes a 174 evaluaciones ASQ (42 de 8; 55 de 18; 77 de 30 meses de edad). El área bajo la curva ROC fue 80,7%, siendo superior a los 8 meses (98,0%) que a los 18 y 30 meses (78,1 y 79,3%, respectivamente). Considerando distintos criterios de corte con ASQ se obtuvo sensibilidad baja (27,8% a 50,0%), pero especificidad elevada (78,8% a 96,2%); el valor predictivo positivo varió entre 21,4% y 45,5%, mientras que el valor predictivo negativo fue 92,0-93,2%.ConclusiónEl ASQ tiene baja sensibilidad pero excelente especificidad para predecir un menor rendimiento cognitivo durante los primeros años de educación escolar, siendo una buena alternativa para monitorizar el desarrollo psicomotor de niños que se atienden en el sector privado de salud de nuestro país.AbstractIntroductionThe Ages and Stages questionnaires (ASQ) has been recently validated in our country for developmental screening. The objective of this study is evaluate the validity of ASQ to predict low cognitive performance in the early years of schooling.Patients and methodDiagnostic test studies conducted on a sample of children of medium-high socioeconomic level were evaluated using ASQ at least once at 8, 18 and/or 30 months old, and later, between 6 and 9 years old, reevaluated using the Wechsler Intelligence Scale for Children-third edition (WISC-III). Each ASQ evaluation was recorded independently. WISC-III was standardized, considering underperformance when the total score were under -1 standard deviationResults123 children, corresponding to 174 ASQ assessments (42 of them were 8 months old, 55 were 18 months and 77 were 30 months of age) were included. An area under the ROC curve of 80.7% was obtained, showing higher values at 8 months (98.0%) compared to 18 and 30 months old (78.1 and 79.3%, respectively). Considering different ASQ scoring criteria, a low sensitivity (27.8 to 50.0%), but a high specificity (78.8 to 96.2%) were obtained; the positive predictive value ranged between 21 and 46%, while the negative value was 92.0-93.2%.ConclusionASQ has low sensitivity but excellent specificity to predict a low cognitive performance during the first years of schooling, being a good alternative to monitor psychomotor development in children who attend the private sector healthcare in our country

M3DISEEN: A Novel Machine Learning Approach for Predicting the 3D Printability of Medicines

Artificial intelligence (AI) has the potential to reshape pharmaceutical formulation development through its ability to analyze and continuously monitor large datasets. Fused deposition modeling (FDM) 3-dimensional printing (3DP) has made significant advancements in the field of oral drug delivery with personalized drug-loaded formulations being designed, developed and dispensed for the needs of the patient. However, the optimization of the fabrication parameters is a time-consuming, empirical trial approach, requiring expert knowledge. Here, M3DISEEN, a web-based pharmaceutical software, was developed to accelerate FDM 3D printing, which includes producing filaments by hot melt extrusion (HME), using AI machine learning techniques (MLTs). In total, 614 drug-loaded formulations were designed from a comprehensive list of 145 different pharmaceutical excipients, 3D printed and assessed in-house. To build the predictive tool, a dataset was constructed and models were trained and tested at a ratio of 75:25. Significantly, the AI models predicted key fabrication parameters with accuracies of 76% and 67% for the printability and the filament characteristics, respectively. Furthermore, the AI models predicted the HME and FDM processing temperatures with a mean absolute error of 8.9 °C and 8.3 °C, respectively. Strikingly, the AI models achieved high levels of accuracy by solely inputting the pharmaceutical excipient trade names. Therefore, AI provides an effective holistic modeling technology and software to streamline and advance 3DP as a significant technology within drug development. M3DISEEN is available at (http://m3diseen.com/predictions/)

Evolutionary history of Podarcis tiliguerta on Corsica and Sardinia.

BACKGROUND: Podarcis tiliguerta is a wall lizard endemic to the Mediterranean islands of Corsica and Sardinia. Previous findings of high mtDNA and morphological diversity have led to the suggestion that it may represent a species complex. Here, we analysed mitochondrial and nuclear markers (mtDNA, 3110 bp; 6 nDNA loci, 3961 bp) in P. tiliguerta sampled from thirty-two localities across Corsica and Sardinia. RESULTS: We find much greater intraspecific genetic divergence than between sister species of other Mediterranean island Podarcis, i.e., between P. lilfordi and P. pityusensis. We detected three mtDNA clusters in Corsica (North, South-East and South-West) and either two or three in Sardinia (North vs. South) depending on the clustering method. Only one or two nDNA groups were identified within each main island (again, depending on the method). A Bayesian time-calibrated multispecies coalescent tree was obtained from mtDNA and provided statistical support for a Miocene origin of the species (13.87 Ma, 95% HPD: 18.30-10.77 Ma). The posterior mean divergence time for the Corsican and Sardinian lineages was 12.75 Ma ago (95% HPD: 16.94-9.04 Ma). CONCLUSION: The results support the evolutionary distinctiveness of Corsican and Sardinian populations and also indicate a lack of post-divergence migration despite periods of contact being possible. Further to this, species delimitation analyses of Corsican and Sardinian lineages provided statistical support for their recognition as distinct (sister) taxa. Our results provide new insights into the biogeography of the Mediterranean biodiversity hotspot, and contribute important findings relevant to the systematics and evolution of this speciose lizard genus

Machine learning predicts 3D printing performance of over 900 drug delivery systems

Three-dimensional printing (3DP) is a transformative technology that is advancing pharmaceutical research by producing personalized drug products. However, advances made via 3DP have been slow due to the lengthy trial-and-error approach in optimization. Artificial intelligence (AI) is a technology that could revolutionize pharmaceutical 3DP through analyzing large datasets. Herein, literature-mined data for developing AI machine learning (ML) models was used to predict key aspects of the 3DP formulation pipeline and in vitro dissolution properties. A total of 968 formulations were mined and assessed from 114 articles. The ML techniques explored were able to learn and provide accuracies as high as 93% for values in the filament hot melt extrusion process. In addition, ML algorithms were able to use data from the composition of the formulations with additional input features to predict the drug release of 3D printed medicines. The best prediction was obtained by an artificial neural network that was able to predict drug release times of a formulation with a mean error of ±24.29 min. In addition, the most important variables were revealed, which could be leveraged in formulation development. Thus, it was concluded that ML proved to be a suitable approach to modelling the 3D printing workflow

Lattice Green's function approach to the solution of the spectrum of an array of quantum dots and its linear conductance

In this paper we derive general relations for the band-structure of an array of quantum dots and compute its transport properties when connected to two perfect leads. The exact lattice Green's functions for the perfect array and with an attached adatom are derived. The expressions for the linear conductance for the perfect array as well as for the array with a defect are presented. The calculations are illustrated for a dot made of three atoms. The results derived here are also the starting point to include the effect of electron-electron and electron-phonon interactions on the transport properties of quantum dot arrays. Different derivations of the exact lattice Green's functions are discussed

A morphological study of galaxies in ZwCl0024+1652, a galaxy cluster at redshift z ∼ 0.4

ABSTRACT: he well-known cluster of galaxies ZwCl0024+1652 at z ∼ 0.4 lacks an in-depth morphological classification of its central region. While previous studies provide a visual classification of a patched area, we used the public code called galaxy Support Vector Machine GALSVM) and HST/ACS data as well as the WFP2 master catalogue to automatically classify all cluster members up to 1 Mpc. GALSVM analyses galaxy morphologies through support vector machine (SVM). From the 231 cluster galaxies, we classified 97 as early types (ETs) and 83 as late types (LTs). The remaining 51 stayed unclassified (or undecided). By cross-matching our results with the existing visual classification, we found an agreement of 81 per cent. In addition to previous Zwcl0024 morphological classifications, 121 of our galaxies were classified for the first time in this work. In addition, we tested the location of classified galaxies on the standard morphological diagrams, colour–colour and colour–magnitude diagrams. Out of all cluster members, ∼20 per cent are emission-line galaxies, taking into account previous GLACE results. We have verified that the ET fraction is slightly higher near the cluster core and decreases with the clustercentric distance, while the opposite trend has been observed for LT galaxies. We found a higher fraction of ETs (54 per cent) than LTs (46 per cent) throughout the analysed central region, as expected. In addition, we analysed the correlation between the five morphological parameters (Abraham concentration, Bershady–Concelice concentration, asymmetry, Gini, and M20 moment of light) and the clustercentric distance, without finding a clear trend. Finally, as a result of our work, the morphological catalogue of 231 galaxies containing all the measured parameters and the final classification is available in the electronic form of this paper.MP also acknowledges support from the Spanish MINECO under projects AYA2013-42227-P and AYA2016-76682-C3-1-P- This work was supported by the Spanish Ministry of Economy and Competitiveness (MINECO) under the grants AYA2014-58861-C3-2-P, AYA2014-58861-C3-3-P, AYA2017-88007-C3-1-P, and AYA2017-88007-C3-2-P

Infiltration capacity assessment of urban pavements using the LCS. Permeameter and the CP Infiltrometer.

This paper presents the Cantabrian Portable Infiltrometer (CP Infiltrometer), a specially designed device based on rainfall simulation for the assessment of the infiltration capacity of all types of urban pavements. Several pervious and impervious surfaces were tested with the LCS Permeameter, an existing infiltration test based on the use of a column of water, and the CP Infiltrometer, simulating rain intensities with return periods of 10, 50 and 500 years and 5 minutes duration. The discussion of the results indicates that the CP Infiltrometer could be used successfully to identify different levels of infiltration capacity and to assess the correct performance of pervious surfaces on which design, construction and maintenance decisions are based