Education in the AI Era: Challenges and Opportunities

Artificial Intelligence (AI) is a game-changer in various industries, and education is no exception. AI-powered tools have the potential to personalize learning, provide quick feedback, and automate administrative tasks. However, there are challenges associated with the integration of AI in education, including AI\u27s potential biases, lack of human interaction, digital literacy, and ethical concerns. The implications of AI in education are complex and multifaceted. Therefore, it is crucial to understand both the opportunities and challenges of this technology to ensure that it is used effectively to enhance the learning experience for students

Machine Learning in Action: Exploring Examples in Multiple Domains

Machine learning, a subset of artificial intelligence, is an exciting and fast-moving field in the context of the Fourth Industrial Revolution. Machine learning studies computer algorithms that use a variety of approaches to automatically learn from experience and improve the prediction of a target state, without explicit programming. In this presentation, you will learn about the theoretical foundations of machine learning and how to apply it to solve relevant problems. Special attention will be given to describing the potential of deep learning. This presentation will be illustrated with examples from research projects on geoscience, medicine 4.0, and other areas of interest

Derivation and consistency checking of models in early software product line engineering

Dissertação para obtenção do Grau de Doutor em Engenharia InformáticaSoftware Product Line Engineering (SPLE) should offer the ability to express the derivation of product-specific assets, while checking for their consistency. The derivation of product-specific assets is possible using general-purpose programming languages in combination with techniques such as conditional compilation and code generation. On the other hand, consistency checking can be achieved through consistency rules in the form of architectural and design guidelines, programming conventions and well-formedness rules. Current approaches present four shortcomings: (1) focus on code derivation only, (2) ignore consistency problems between the variability model and other complementary specification models used in early SPLE, (3) force developers to learn new, difficult to master, languages to encode the derivation of assets, and (4) offer no tool support. This dissertation presents solutions that contribute to tackle these four shortcomings. These solutions are integrated in the approach Derivation and Consistency Checking of models in early SPLE (DCC4SPL) and its corresponding tool support. The two main components of our approach are the Variability Modelling Language for Requirements(VML4RE), a domain-specific language and derivation infrastructure, and the Variability Consistency Checker (VCC), a verification technique and tool. We validate DCC4SPL demonstrating that it is appropriate to find inconsistencies in early SPL model-based specifications and to specify the derivation of product-specific models.European Project AMPLE, contract IST-33710; Fundação para a Ciência e Tecnologia - SFRH/BD/46194/2008

Two-way coupled long-wave isentropic ocean-atmosphere dynamics

The events following the 15 January 2022 explosions of the Hunga Tonga-Hunga Ha'apai volcano highlighted the need for a better understanding of ocean-atmosphere interactions when large amounts of energy are locally injected into one (or both). Starting from the compressible Euler equations, a two-way coupled (TWC) system is derived governing the long-wave behaviour of the ocean and atmosphere under isentropic constraint. Bathymetry and topography are accounted for along with three-dimensional atmospheric non-uniformities through their depth average over a spherical shell. A linear analysis, yielding two pairs of gravito-acoustic waves, offers explanations for phenomena observed during the Tonga event. A continuous transcritical regime (in terms of water depth) is identified as the source of large wave generation in deep water bodies, removing the singularity-driven Proudman-type resonance observed in one-way coupled models. The refractive properties, governing the interaction of the atmospheric wave with step changes in water depth, are derived to comment on mode-to-mode energy transfer. Two-dimensional global simulations modelling the propagation of the atmospheric wave (under realistic conditions on the day) and its worldwide effect on oceans are presented. Local maxima of water-height disturbance in the farfield from the volcano, linked to the atmospheric wave deformation (in agreement with observations), are identified, emphasising the importance of the TWC model for any daylong predictions. The proposed framework can be extended to include additional layers and physics, e.g. ocean and atmosphere stratification. With the aim of contributing to warning system improvement, the code necessary to simulate the event with the proposed model is made available.journal articl

Estudio de la natalidad, mortalidad y morbilidad en Chinameca.

El estudio de la natalidad y morbilidad en diferentes municipios del país realizado por los médicos que presentaron su servicio social desde junio de 1963 hasta marzo de 1964, tal estudio persigue obtener información de amplitud nacional sobre los fenómenos de natalidad y mortalidad ya que estos temas han sido considerados solo de manera aislada y ocasional lo cual ha hecho difícil poder obtener datos útiles para el conocimiento de nuestros problemas de salud

Evaluating the Impact of the Diabetes Mellitus Strategy for the National Health System: An Interrupted Time Series Analysis

Background: Diabetes mellitus is a significant public health problem. Macrovascular complications (stroke, acute myocardial infarction (AMI) and lower limb amputations (LLAs) represent the leading cause of morbi-mortality in DM. This work aims to evaluate the impact of the approval of the Diabetes Mellitus Strategy of the National Health System (SDM-NHS) on hospitalizations for those macrovascular complications related to DM. Methods: Interrupted time series applying segmented regression models (Negative Binomial) adjusted for seasonality to data from hospital discharge records with a primary or secondary diagnosis of DM (code 250 ICD9MC). Results: Between 2001 and 2015, there have been 7,302,750 hospital discharges with a primary or secondary diagnosis of DM. After the approval of the SDM-NHS, all the indicators showed a downward trend, modifying the previous trend in the indicators of AMI and LLA. The indicators of stroke and AMI also showed an immediate reduction in their rates. Conclusions: After the approval of the SDM-NHS, an improvement has been observed in all the indicators of macrovascular complications of DM evaluated, although it is difficult to establish a causal relationship between the strategy and the effects observed. Interrupted time series is applicable for evaluating the impact of interventions in public health when experimental designs are not possible.This research was partially funded by the Nazarbayev University #080420FD1916.S

Creación de un complejo deportivo para futbolistas en la Urbanización Pueblo Joven, Distrito de San Miguel, Provincia de San Román, Departamento de Puno

El objetivo de esta investigación fue fomentar un proyecto para la ejecución de espacios sociales y deportivos para reforzar la interaccion social urbano y la solidificación de la región de San Miguel - San Román, 2021. Esta investigación dependió de un punto de vista cuantitativo, con una acentuación ilustrativa. Se eligió un ejemplo de 164 personas con pruebas no probabilísticas durante el tiempo de investigación 2021, donde como resultado se obtubo que el 87.2% de las personas se consideran inactivos y el 12.8% son dinámicos, lo que nos da posteriormente que cada 10 individuos practican algún tipo de deporte por lo menos una vez a la semana y esto sucede por la carencia de espacios deportivos. La metodologia utilizada fue la encuesta y la guía de percepción. Dio como resultados, un 81 % expresa la viabilidad según su apreciación del el preceso de encuesta, el 5% indiferente, el 8% dice que no es viable, como tambien se ha identificado que el 90.% dice que la implementación de complejo deportivo mejorara la salud física de la población, de lo cual el 2% indiferente y un 8% que es no viables la implementación de lo cual el 76% cree que si existirá un espacio donde se pueda realizar actividades deportivas aumentara el interés de la mayoria de los miembros de la familia a practicar algun deporte, indiferente el 20% el 4% es no apropiado. De acuerdo con los resultados adquiridos en la investigación, se razonó que hay un enorme fortalecimiento del proyecto para la ejecución de espacios para la práctica deportiva y la interacción social cultural en el desarrollo y consolidación urbana de la región de San Miguel - San Román, 2022