ABSTRACT Artificial intelligence (AI) is based on computer programs that imitate human thinking and automate certain processes. Artificial intelligence has been studied in the medical field for over 50 years, but in recent years, its growth has been exponential. The field of cardiovascular imaging is particularly attractive since AI can guide non-experts in image acquisition, automate processes and measurements, guide diagnoses, detect findings not visible to the human eye, make opportunistic diagnoses of unexpected conditions in the index test, or identify patterns of association within a large amount of data as a source of hypothesis generation. In the field of cardiovascular prevention, AI has been used for diagnostic, prognostic, and therapeutic purposes in managing cardiovascular risk factors such as dyslipidemia and hypertension. While there are limitations to the use of AI, such as cost, accessibility, compatibility of programs, external validity of results in certain populations, and ethical-legal aspects such as data privacy, this technology is rapidly growing and is likely to revolutionize current medical practice.

RESUMEN La inteligencia artificial (IA) está basada en programas computacionales que pueden imitar el pensamiento humano y automatizar algunos procesos. En el ámbito médico se está estudiando hace más de 50 años, pero en los últimos años el crecimiento ha sido exponencial. El campo de las imágenes cardiovasculares es particularmente atractivo para aplicarla, dado que, guiadas por IA, personas no expertas pueden adquirir imágenes completas, automatizar procesos y mediciones, orientar diagnósticos, detectar hallazgos no visibles al ojo humano, realizar diagnósticos oportunistas de afecciones no buscadas en el estudio índice pero evaluables a través de las imágenes disponibles, o identificar patrones de asociación dentro de una gran cantidad de datos como fuente de generación de hipótesis. En el campo de la prevención cardiovascular, la IA se ha aplicado en diferentes escenarios con fines diagnósticos, pronósticos y terapéuticos en el manejo de algunos factores de riesgo cardiovascular, como las dislipidemias o la hipertensión arterial. Si bien existen limitaciones con el uso de la IA tales como el costo, la accesibilidad y la compatibilidad de los programas, la validez externa de los resultados en determinadas poblaciones, o algunos aspectos éticos-legales (privacidad de los datos), esta tecnología está en crecimiento vertiginoso y posiblemente revolucione la práctica médica actual.

Abstract Unmanned Aerial Vehicles (UAVs), often called drones, have gained progressive prevalence for their swift operational ability as well as their extensive applicability in diverse real-world situations. Of late, UAV usage in precision agriculture has attracted much interest from scientific community. This study will look at drone aid in precise farming. Big data has the ability to analyze enormous amounts of data. Due to this, it is one of the diverse crucial technologies of Information and Communication Technology (ICT) which had applied in precision agriculture for the abstraction of critical information as well as for assisting agricultural practitioners in the comprehension of the most feasible farming practices, and also for better decision-making. This work analyses communication protocols, as well as their application toward the challenge of commanding a drone fleet for protecting crops from infestations of parasites. For computer-vision tasks as well as data-intensive applications, the method of deep learning has shown much potential. Due to its vast potential, it can also be used in the field of agriculture. This research will employ several schemes to assess the efficacy of models includes Visual Geometry Group (VGG-16), the Convolutional Neural Network (CNN) as well as the Fully-Convolutional Network (FCN) in plant disease detection. The methods of Artificial Immune Systems (AIS) can be used in order to adapt deep neural networks to the immediate situation. Simulated outcomes demonstrate that the proposed method is providing superior performance over various other technologically-advanced methods. UAVs, UAVs , (UAVs) drones realworld real world situations late community this ICT (ICT practices decisionmaking. decisionmaking decision making. making decision-making protocols parasites computervision computer vision dataintensive intensive applications potential VGG16, VGG16 VGG 16 (VGG-16) CNN (CNN FullyConvolutional Fully FCN (FCN detection AIS (AIS situation technologicallyadvanced technologically advanced (UAVs VGG1 1 (VGG-16 (VGG-1 (VGG- (VGG

Resumo Os veículos aéreos não tripulados (UAVs), muitas vezes chamados de drones, ganharam prevalência progressiva por sua rápida capacidade operacional, bem como por sua ampla aplicabilidade em diversas situações do mundo real. Ultimamente, o uso de UAV na agricultura de precisão tem atraído muito interesse da comunidade científica. Este estudo analisará a ajuda de drones na agricultura de precisão. O big data tem a capacidade de analisar enormes quantidades de dados. Por isso é uma das diversas tecnologias cruciais de tecnologia da informação e comunicação (TIC) que foram aplicadas na agricultura de precisão para a abstração de informações críticas, bem como para auxiliar os praticantes agrícolas na compreensão das práticas agrícolas mais viáveis, e também para uma melhor tomada de decisão. Este trabalho analisa protocolos de comunicação, bem como sua aplicação no desafio de comandar uma frota de drones para proteção de lavouras contra infestações de parasitas. Para tarefas de visão computacional, bem como para aplicações com uso intensivo de dados, o método de aprendizagem profunda mostrou muito potencial. Devido ao seu vasto potencial, também pode ser utilizado na área agrícola. Esta pesquisa empregará vários esquemas para avaliar a eficácia de modelos, incluindo o Grupo de Geometria Visual (VGG-16), a Rede Neural Convolucional (CNN), bem como a Rede Totalmente Convolucional (FCN) na detecção de doenças de plantas. Os métodos de sistemas imunológicos artificiais (AIS) podem ser utilizados para adaptar redes neurais profundas à situação imediata. Os resultados simulados demonstram que o método proposto oferece desempenho superior em relação a vários outros métodos tecnologicamente avançados. UAVs, UAVs , (UAVs) operacional real Ultimamente científica dados TIC (TIC críticas viáveis decisão parasitas computacional potencial agrícola modelos VGG16, VGG16 VGG 16 (VGG-16) CNN, CNN (CNN) FCN (FCN plantas AIS (AIS imediata avançados (UAVs VGG1 1 (VGG-16 (CNN (VGG-1 (VGG- (VGG

RESUMEN Introducción: La impresión tridimensional es una de las tecnologías que promueve el cambio a nivel económico y social, y uno de los elementos fundamentales de la industria 4.0. Asimismo, constituye un enorme potencial para el futuro de la medicina, estableciéndose como un nuevo paradigma. A pesar de sus ventajas, su explotación en nuestro medio es incipiente. Objetivos: Diseñar y desarrollar soluciones basadas en tecnologías tridimensionales para la enseñanza y la práctica de las ciencias biomédicas. Materiales y métodos: Se realizó una investigación colaborativa, de desarrollo tecnológico entre el Centro de Fabricación Asistida y Sostenible de la Universidad de Matanzas y la Universidad de Ciencias Médicas de Matanzas, entre septiembre de 2019 y julio de 2022. Los diseños y fabricaciones se realizaron a partir de la adquisición de imágenes de tomografía computarizada, o desde un escáner de superficie, las que luego se procesaron, se convirtieron en formato Standard Tessellation Language, se imprimieron y posprocesaron. Los diseños virtuales se desarrollaron empleando un software de diseño asistido por computadora. Resultados: Se desarrollaron varias soluciones que incluyen varios prototipos: biomodelos para reparación de craneosinostosis y figuras anatómicas, molde de prótesis craneal personalizada, prótesis de mano, divisores de líneas de O2, andamios tisulares, pistola portajeringas, protectores faciales, prótesis de mama, molde para restauración autóloga y expansor tisular. Conclusiones: En todas las áreas de aplicación de esta tecnología en medicina―salvo en la impresión de medicamentos, en el contexto actual―, es factible obtener soluciones en el territorio de Matanzas. Es un imperativo, pues, que directivos y la comunidad médica en general, comiencen a adquirir conciencia, conocimientos y experiencias para garantizar la utilización óptima de esta tecnología.

ABSTRACT Introduction: Three-dimensional printing is one of the technologies that promote change at an economic and social level, and one of the fundamental elements of industry 4.0. It has enormous potential for the future of medicine, establishing itself as a new paradigm. Despite its advantages, its use in our environment is incipient. Objective: To design and develop solutions based on three-dimensional technologies for the teaching and practice of biomedical sciences. Materials and methods: A technological development investigation was carried out between the Center for Assisted and Sustainable Manufacturing of the University of Matanzas and Matanzas University of Medical Sciences, between September 2019 and July 2022. The designs and fabrications were made from the acquisition of computed tomography images, or from a surface scanner, which were then processed, converted into Standard Tessellation Language format, printed, and post-processed. Virtual designs were developed using computer-aided design software. Results: Various solutions were developed including prototypes: biomodels for craniosynostosis repair and anatomical figures, custom cranial prosthesis mold, hand prosthesis, O2 line splitters, tissue scaffolds, syringe gun, face shields, breast prosthesis; autologous restoration mold and tissue expander. Conclusions: In all areas of application of this technology in medicine―except the printing of medicines, in the current context―, it is feasible to obtain solutions in the territory of Matanzas. It is therefore imperative that managers and the medical community in general, begin to acquire awareness, knowledge, and experience to ensure the optimal use of this technology.

Resumo A fabricação de peças pelo processo de Manufatura Aditiva por Deposição a Arco (MADA) tem como característica o uso de fontes de soldagem aplicadas em GMAW, GTAW e PAW. O controle dos parâmetros durante a construção das peças é fundamental para contribuir com a redução do aporte térmico, possibilitando assim a aplicação de uma técnica para controlar o calor imposto sobre a deposição das camadas. O monitoramento do processo consiste em detectar variações no processo durante as deposições das camadas e vários são os recursos utilizados, tais como: emissão acústica, sistemas de visão computacional, sensores para coletar informações quanto à radiação térmica e/ou temperatura da peça, além da captura de informações quanto às variáveis elétricas. O objetivo deste trabalho é apresentar uma metodologia para o controle dos parâmetros durante a deposição das camadas de modo a atuar no equipamento por meio de um algoritmo de controle e um sistema de aquisição de dados, atuando no processo. Um estudo da influência dos parâmetros sobre a geometria e estabilidade de arco é apresentado. Um planejamento experimental baseado na técnica de Projeto Robusto foi aplicado para viabilizar o número de experimentos. Os resultados sugerem o efeito benéfico da duração do ciclo sobre a estabilidade do arco, comportamento da poça de fusão e geometria final. MADA (MADA GMAW PAW térmico utilizados acústica computacional eou ou peça elétricas dados apresentado experimentos final

Abstract Manufacturing parts using the Wire Arc Additive Manufacturing (WAAM) process is characterized by the use of welding sources applied in GMAW, GTAW, and PAW. The control of the parameters during manufacturing is fundamental to contribute to the reduction of the heat input, thus making it possible to apply a technique to control the heat imposed on the deposition of the layers. The process monitoring consists in detecting variations in the process during layers’ deposition, using a variety of resources, such as: acoustic emission, computer vision systems, sensors to collect information on thermal radiation and/or temperature of the part, in addition to capturing information on electrical variables. The objective of this work is to present a methodology for controlling the parameters during deposition of the layers in order to command the equipment with a control algorithm and a data acquisition system, acting on the process. A study of the influence of the parameters on arc geometry and stability is presented. An experimental design based on the Robust Design technique was applied to make the number of experiments feasible. The results suggest the beneficial effect of cycle length on arc stability, melt pool behavior and the final geometry. WAAM (WAAM GMAW GTAW PAW input resources as emission systems andor or part variables system presented feasible

Abstract The possible role of text-to-speech (TTS) audio for pedagogical purposes has not been fully explored. This study examines ESL students’ perceptions of artificial intelligence and human voices. It also explores students’ opinions on listening instruction. The investigation was conducted from April to September 2022 and involved 36 TESOL students enrolled in a BA in English or English teaching at a Costa Rican public university. It used a quantitative survey design. The researcher gathered student responses through a survey designed to collect students’ perceptions of computer-generated voices, human voices, and listening instruction. The data were quantitatively analyzed using descriptive statistics. Data analyses indicate that: 1) students find human voices more appealing than artificial intelligence voices; 2) students find female voices more appealing than male voices when a computer generates them; 3) artificial intelligence voices share some characteristics that students find more appealing; and 4) current listening instruction policies and materials should be reexamined in the language program. Consistent with the reviewed literature, these findings demonstrate that although TTS does not appeal to students as much as human voices, a part of the population finds computergenerated voices appealing. The analysis also suggests that some students cannot fully discern between computer-generated and human voices; thus, their use may be appropriate in some contexts. Finally, these findings confirm that listening instruction policies and materials should be revised to improve students’ language acquisition processes.

Resumen El posible papel de audios texto-a-voz (TTS) para usos pedagógicos no ha sido completamente explorado. Este estudio examina las percepciones de estudiantes de ILE acerca de las voces humanas y de inteligencia artificial. Asimismo, explora las opiniones de estudiantes sobre la instrucción de la escucha. Esta investigación se llevó a cabo de abril a setiembre de 2022 e incluyó a 36 estudiantes de ILE matriculados en un Bachillerato en Inglés o Enseñanza del Inglés en una universidad pública costarricense. Se utilizó un modelo cuantitativo de encuestas. El investigador recolectó las respuestas mediante una encuesta diseñada para recabar las percepciones del estudiantado acerca de las voces generadas por computadora, las voces humanas, y la instrucción de la escucha. Los datos fueron analizados de manera cuantitativa utilizando estadística descriptiva. El análisis de los datos indica que: 1) el estudiantado encuentra las voces humanas más atractivas que las voces generadas con inteligencia artificial; 2) el estudiantado considera las voces femeninas más atractivas que las masculinas cuando son generadas por computadora; 3) las voces generadas por inteligencia artificial comparten algunas características que el estudiantado encuentra más atractivas; y 4) las presentes políticas y materiales para la instrucción de la escucha deben ser reexaminadas en el programa de idiomas. Consistente con la literatura revisada, estos resultados demuestran que aunque las voces TTS no llaman tanto la atención del estudiantado como las voces humanas, una parte de la población considera las voces generadas por computadora interesantes. El análisis también sugiere que una parte del estudiantado no puede discernir en su totalidad entre voces humanas y generadas por computadora; por lo tanto, su uso puede ser apropiado en algunos contextos. Finalmente, los resultados confirman que las políticas y los materiales para la enseñanza de la escucha deben ser revisados para mejorar los procesos de adquisición del lenguaje del estudiantado.

Abstract For road maintenance and rehabilitation, it is important to develop procedures to evaluate pavement condition. Imaging methods can be used to obtain data to analyze a pavement surface. A methodology for crack detection is presented in this paper that is based on image processing techniques and artificial neural networks. The methodology is implemented in four stages: 1. image acquisition, 2. image processing, 3. feature extraction, and 4. classification using an artificial neural network. The methodology was used to detect deterioration in the form of longitudinal cracks, potholes, and alligator cracking. The classification was performed using a multilayer perceptron (MLP) neural network within a (12 14 3) configuration, resulting in an accuracy of 95.56% and a precision of 94.44%. The proposed methodology could be used to help governmental organizations evaluate a road network.

Resumen En los procesos de mantenimiento y rehabilitación de vías, es importante el desarrollo de procedimientos que contribuyan a la evaluación de la condición del pavimento. Los métodos de inspección de la superficie de pavimento que emplean imágenes capturan información permitiendo un análisis cuantitativo. Este documento presenta una metodología para la detección de grietas en el pavimento, mediante la aplicación de técnicas de procesamientos de imágenes y redes neuronales artificiales; está dividido en cuatro etapas: 1. Adquisición de las imágenes, 2. Procesamiento de imágenes, iii. Extracción de características y iv. Clasificación utilizando RNA. La metodología se aplicó para la detección de los deterioros: grieta longitudinal, bache y piel de cocodrilo. La clasificación se realizó mediante una red neuronal MLP con configuración (12 14 3), la cual obtuvo una exactitud de 95,56% y una precisión de 94,44%. La metodología propuesta puede ser útil para las organizaciones gubernamentales en la evaluación de la malla vial.

Abstract Some sectors of animal production and reproduction have shown great technological advances due to the development of research areas such as Precision Livestock Farming (PLF). PLF is an innovative approach that allows animals to be monitored, through the adoption of cutting-edge technologies that continuously collect real-time data by combining the use of sensors with advanced algorithms to provide decision tools for farmers. Artificial Intelligence (AI) is a field that merges computer science and large datasets to create expert systems that are able to generate predictions and classifications similarly to human intelligence. In a simplified manner, Machine Learning (ML) is a branch of AI, and can be considered as a broader field that encompasses Deep Learning (DL, a Neural Network formed by at least three layers), generating a hierarchy of subsets formed by AI, ML and DL, respectively. Both ML and DL provide innovative methods for analyzing data, especially beneficial for large datasets commonly found in livestock-related activities. These approaches enable the extraction of valuable insights to address issues related to behavior, health, reproduction, production, and the environment, facilitating informed decision-making. In order to create the referred technologies, studies generally go through five steps involving data processing: acquisition, transferring, storage, analysis and delivery of results. Although the data collection and analysis steps are usually thoroughly reported by the scientific community, a good execution of each step is essential to achieve good and credible results, which impacts the degree of acceptance of the proposed technologies in real life practical circumstances. In this context, the present work aims to describe an overview of the current implementations of ML/DL in livestock reproduction and production, as well to identify potential challenges and critical points in each of the five steps mentioned, which can affect results and application of AI techniques by farmers in practical situations. PLF. . (PLF) monitored cuttingedge cutting edge realtime time (AI intelligence manner (ML (DL layers, layers , layers) respectively livestockrelated activities behavior health environment decisionmaking. decisionmaking making. making decision-making processing acquisition transferring storage community circumstances context MLDL mentioned situations (PLF

Abstract In the wake of studies targeting atherosclerotic plaques and searching for quantifiable variables that contribute additional information to therapeutic decision-making, plaque assessment using Shear Wave Elastography (SWE) is emerging as a reproducible and promising alternative. We used a single Logiq S8 device (General Electric, Boston, Massachusetts, United States) with an 8.5-11MHz multifrequency linear transducer at 10MHz in longitudinal section. We considered relevant criteria for image acquisition: adequate longitudinal insonation, differentiation of the intima-media complex, delineation of proximal and distal tunica adventitia and the vascular lumen, good visualization of the atherosclerotic plaque, cardiac cycle in ventricular diastole, and absence of incongruous changes. SWE is an emerging and extremely promising method for assessment of carotid plaques that may contribute to therapeutic decision-making based on characteristics related to the atherosclerotic plaque, with inter-device and inter-examiner reproducibility. decisionmaking, decisionmaking decision making, making (SWE alternative S General Electric Boston Massachusetts States 8.511MHz 8511MHz MHz 8.5 11MHz 8 5 section acquisition insonation intimamedia intima media complex lumen diastole changes interdevice inter interexaminer examiner reproducibility 511MHz 85 8.

Resumo Na esteira de estudos direcionados à placa aterosclerótica e em busca de variáveis quantificáveis que adicionem informações à tomada de decisão terapêutica, a avaliação a partir de elastografia shear wave (SWE) se apresenta como alternativa reprodutível e promissora. Utilizamos um único aparelho Logiq S8 (General Electric, Boston, Massachusetts, Estados Unidos) com um transdutor linear multifrequencial 8,5-11 MHz em 10 MHz em corte longitudinal. Consideramos critérios relevantes para a aquisição de imagem: adequada insonação longitudinal, diferenciação do complexo médio-intimal, delineamento de túnicas adventícias proximal e distal, lúmen vascular, boa visualização da placa aterosclerótica, ciclo em diástole ventricular e ausência de alterações incongruentes. A SWE é um método emergente e extremamente promissor no contexto da avaliação de placas carotídeas, podendo contribuir no futuro para a tomada de decisão terapêutica baseada em características relativas à placa aterosclerótica de forma reprodutível entre aparelhos e examinadores. (SWE promissora S General Electric Boston Massachusetts Unidos 8,511 8511 8,5 11 8 5 8,5-1 1 longitudinal imagem médiointimal, médiointimal médio intimal, intimal médio-intimal distal vascular incongruentes carotídeas examinadores 511 8,51 851 85 8, 8,5- 51

ABSTRACT For neuroscientists, it is a challenge to keep track of the data and metadata generated in each investigation and accurately extract all the relevant information, a crucial fact to interpret results and a minimum requirement for researchers to build their investigations on previous findings. Keep as much information as possible from the start, even if it may seem irrelevant and record and store the data with its metadata clearly and concisely. A preliminary analysis of the specialized literature revealed an absence of detailed research on how to incorporate data and metadata management in clinical brain research, in terms of organizing data and metadata completely in digital repositories, collecting and inputting them taking into account their completeness. , and take advantage of such collection in the process of data analysis. This research aims to conceptually and technically characterize neuroscience data and metadata to facilitate the development of computer solutions for its management and processing. Different bibliographic sources were consulted, as well as databases and repositories such as: Pubmed, Scielo, Nature, Researchgate, among others. The analysis on the collection, organization, processing and storage of neuroscience data and metadata for each data acquisition technique (EEG, iEEG, MEG, PET), as well as its link to the brain imaging data structure (BIDS) allowed to obtain a general characterization of how to manage and process the information contained in them.

RESUMEN Para los neurocientíficos constituye un desafío realizar un seguimiento de los datos y metadatos generados en cada investigación y extraer con precisión toda la información relevante, hecho crucial para interpretar resultados y requisito mínimo para que los investigadores construyan sus investigaciones sobre los hallazgos anteriores. Se debe mantener tanta información como sea posible desde el inicio, incluso si esta pudiera parece ser irrelevante, además de registrar y almacenar los datos con sus metadatos de forma clara y concisa. Un análisis preliminar sobre la literatura especializada arrojó ausencia de una investigación detallada sobre cómo incorporar la gestión de datos y metadatos en las investigaciones clínicas del cerebro, en términos de organizar datos y metadatos completamente en repositorios digitales, recopilar e ingresar estos teniendo en cuenta su completitud, y sacar provecho de dicha recopilación en el proceso de análisis de los datos. Esta investigación tiene como objetivo caracterizar conceptual y técnicamente los datos y metadatos de neurociencias para facilitar el desarrollo de soluciones informáticas para su gestión y procesamiento. Se consultaron diferentes fuentes bibliográficas, así como bases de datos y repositorios tales como: Pubmed, Scielo, Nature, Researchgate, entre otros. El análisis sobre la recopilación, organización, procesamiento y almacenamiento de los datos y metadatos de neurociencias para cada técnica de adquisición de datos (EEG, iEEG, MEG, PET), así como su vínculo a la estructura de datos de imágenes cerebrales (BIDS) permitió obtener una caracterización general de cómo gestionar y procesar la información contenida en los mismos.

Abstract In order to automate the determination of gait parameters, a system capable of acquiring data from inertial units, exploiting their maximum sampling frequency, was developed. The study of gait is one of the fundamental indicators for the evaluation of physical performance. It allows the estimation of the functional deterioration of the elderly in an objective way, so several tests have been designed to evaluate it. The system developed has two fundamental elements: an electronic device and a desktop application. The electronic device has the function of collecting data from the MPU-9255 sensor using an ESP32 to set the sampling rate, transmitting the data via WiFi to the computer and monitoring the system's battery. The desktop application allows the electronic device to be configured and controlled, as well as receiving, displaying and storing the data. As a result, a prototype capable of operating at a sampling frequency of 1 kHz was built. Tests carried out on the system demonstrate its reliability and allow the limits of sampling frequency and working distance to be set.

Resumen Con el objetivo de automatizar la determinación de los parámetros de la marcha, se desarrolló un sistema capaz de adquirir datos de unidades inerciales, explotando su máxima frecuencia de muestreo. El estudio de la marcha constituye uno de los indicadores fundamentales para la evaluación del desempeño físico. Este permite la estimación del deterioro funcional del anciano de forma objetiva, por lo que se han diseñado diversas pruebas que permiten evaluarlo.. El sistema desarrollado cuenta con dos elementos fundamentales: un dispositivo electrónico y una aplicación de escritorio. El dispositivo electrónico tiene la función de recoger los datos del sensor MPU-9255 usando un ESP32 para establecer la frecuencia de muestreo, transmitir los datos por WiFi hacia la computadora y monitorizar la batería del sistema. La aplicación de escritorio permite configurar y controlar el dispositivo electrónico, así como la recepción, la visualización y el almacenamiento de los datos. Como resultado, se construyó un prototipo capaz de operar con una frecuencia de muestreo de 1 kHz. Las pruebas realizadas al sistema demuestran su confiabilidad y permiten establecer los límites de la frecuencia de muestro y la distancia de trabajo.

Resumo Fundamento A consolidação de novos paradigmas educacionais exige a implantação de estratégias inovadoras com potencial de transformar estudantes em profissionais competentes. Objetivos Analisar o conhecimento e a satisfação de estudantes antes e após a utilização de uma nova metodologia ativa de ensino médico de modelo digital humanizado chamada Virtual Case-Based Learning (VCBL). Métodos Estudo descritivo com análise documental sobre o processo de ensino-aprendizagem de estudantes de medicina. Dados obtidos da avaliação de conhecimento teórico e do instrumento de satisfação dos alunos nos anos de 2018 e 2019 foram analisados, e a nova metodologia proposta VCBL foi comparada com a metodologia ativa de ensino tradicional, o Problem-Based Learning (PBL). As análises descritivas e de associação foram realizadas utilizando o programa Statistical Package for the Social Sciences. Resultados Foram analisados 167 documentos aplicados a estudantes de medicina. Em relação à avaliação do conhecimento teórico, os alunos avaliados em 2018 obtiveram média 41,7%, comparados aos alunos de 2019 que alcançaram 73,3% (p<0,001). Entre os estudantes submetidos à avaliação da satisfação com a metodologia de aprendizagem proposta, 76,0% pontuaram o valor máximo para a questão um, e 83,0% para a questão número dois. Cerca de 70,0% dos estudantes classificaram positivamente o aprendizado adquirido após utilização da plataforma Paciente 360; 78,0% responderam que se sentem preparados para o atendimento ambulatorial; e 94,0% pontuaram de forma positiva a metodologia empregada. Conclusão Neste estudo inicial, os resultados indicaram que a nova ferramenta em metodologia ativa de ensino médico digital humanizado, o VCBL, pode auxiliar no aprimoramento do processo de ensino-aprendizagem, proporcionando conhecimento e satisfação dos estudantes.

Abstract Background The consolidation of new educational paradigms requires the implementation of innovative strategies to transform students into competent professionals. Objectives To assess knowledge and satisfaction of medical students before and after the use of a new humanized digital model of active learning, called virtual case-based learning (VCBL). Methods This was a descriptive, documentary analysis of the teaching-learning process of medical students. Data obtained from theoretical knowledge assessment and satisfaction evaluation questionnaires applied in 2018 and 2019 were analyzed, and the new VCBL was compared with the traditional active methodology PBL (problem-based learning). Descriptive and association analyses were made using the Statistical Package for the Social Sciences. Results A total of 167 evaluation forms administered to medical students were analyzed. In the evaluation of theoretical knowledge, the 2018 and the 2019 student groups had a mean of 41.7% and 73.3%, respectively (p<0.001). Among the students who responded to the satisfaction evaluation form, 76.0% gave the highest rating to question one, and 83.0% to question two. Nearly 70.0% of students positively evaluated knowledge acquisition with the Paciente 360 platform; 78.0% reported to feel prepared for working in outpatient care; and 94.0% positively evaluated the new method. Conclusion In this initial study, the results indicate that the new active method for humanized digital medical education, the VCBL, can help in the betterment of the teaching-learning process, promoting knowledge and satisfaction by the students.

ABSTRACT The objective of this work is to propose the free educational application on operational amplifier (OpEdu), in its version 0.5, based on the free software Scilab, which allow the analysis, experimentation, demonstration and design of the functions of operational amplifiers. Among the results obtained are the development of seven design modules such as the inverting amplifier, non-inverting amplifier, differential amplifier, summing amplifier and voltage-current converter. The application is aimed at teaching engineering, specifically operational amplifiers, among its practical uses are that students are able to independently carry out their own experiments and designs in a safe environment and contribute to the national development of free computer applications. This type of software is generally licensed privately, with a high acquisition cost, so that its peers, in free license, allows a greater reach among students and specialists for purposes.

RESUMEN El presente trabajo tiene como objetivo proponer la aplicación educativa libre sobre amplificadores operaciones(OpEdu), en su versión 0.5, basada en el software libre Scilab, que permite el análisis, la experimentación, demostración y diseño de las funciones de los amplificadores operacionales. Dentro de los resultados obtenidos se encuentran el desarrollo de siete módulos de diseño como son el amplificador inversor, amplificador no inversor, amplificador diferencial, amplificador sumador y convertidor de tensión - corriente. La aplicación va dirigida a la enseñanza de la ingeniería específicamente de los amplificadores operacionales, entre sus utilidades prácticas se encuentran que los estudiantes sean capaces de realizar independientemente sus propios experimentos y diseños en un ambiente seguro y contribuir al desarrollo nacional de aplicaciones informáticas libres. Este tipo de software es generalmente de licencia privada, con un alto costo de adquisición, por lo que sus semejantes, en licencia libre, permite un mayor alcance entre los estudiantes y especialistas a fines.

ABSTRACT The tests that are carried out to electric machines need of: taking of data, their prosecution and determination of their parameters or performances. All that you can automate, being more important if it is about repetitive processes. In this work the open circuit, short circuit and zero power factor tests of a synchronous machine were automated in what concerns to obtaining data for determines the generator performance relative to its voltage regulation utilizing Potier method. It utilizes a very simple hardware based on an acquisition card in orde to introduce them to a computer and by means of a software implemented in Matlab, to determine the regulation of voltage. In order to simplify the calculations, an analytic method is used instead of the known graphical method. The proposed method can be introduced in the Electric Machines Laboratories without changing the existent equipment.

RESUMEN Los ensayos que se realizan a máquinas eléctricas necesitan de: toma de datos, su procesamiento y determinación de sus parámetros o comportamientos. Todo eso se puede automatizar, siendo más importante si se trata de procesos repetitivos. En el trabajo se automatizaron los ensayos de circuito abierto, cortocircuito y factor de potencia cero de una máquina sincrónica en lo que respecta a la obtención, introducción a un ordenador y procesamiento de los datos necesarios. Para ello se creó un sencillo hardware para obtener los datos y mediante una tarjeta de adquisición de datos y Lab Window introducirlos a un ordenador y mediante un software implementado en Matlab, determinar la regulación de tensión. En esto último se incluye un procedimiento para, en lugar de utilizar el método gráfico, realizarlo mediante un método analítico. El método empleado puede ser introducido en Laboratorios de Máquina Eléctricas sin la necesidad de cambiar el equipamiento existente.

RESUMO Objetivo: este estudo analisou o conhecimento dos estudantes de medicina sobre publicidade médica nas redes sociais. Método: Trata-se de estudo transversal realizado entre janeiro e maio de 2022 com 179 acadêmicos de medicina de instituição pública e privada em Curitiba - PR, por meio de questionário estruturado com nove situações-problemas sobre publicidade médica. Foi estabelecido como conhecimento “suficiente” o acerto ≥70% das situações-problemas com base nos códigos e resoluções profissionais vigentes. Resultados: cinco questões tiveram maior percentual de acerto decorrente da aquisição de conhecimento de diferentes fontes. A maioria dos estudantes não aprendeu sobre publicidade médica na graduação (84,9%), já divulgou imagens de pacientes pelas redes sociais (89,9%), e sente falta de mais discussões sobre publicidade (96,6%). Conclusão: há necessidade de direcionar o ensino da graduação para o uso ético da publicidade visando melhor preparo para o exercício profissional.

ABSTRACT Objective: this study analyzed medicine students’ knowledge regarding medical advertising on social media. Method: this is a cross-sectional study carried out between January and May 2022 with 179 medical students from public and private institutions from Curitiba - PR, using a structured questionnaire with nine problem situations on medical advertising. It was established as “sufficient” knowledge ≥70% of the problem-situations based on current professional codes and resolutions. Results: five questions had the highest percentage of correct answers resulting from the acquisition of knowledge from different sources. Most students did not learn about medical marketing in their undergraduate course (84.9%), having already shared patients’ pictures on social media (89.9%), and fell the lack of discussions about medical advertising (96.6%). Conclusion: there is a need to direct undergraduate education towards the ethical use of advertising in order to better prepare them for professional practice.

Abstract: This article presents a synchronic analysis of the schooling situation and the educational trajectories of four cohorts of children and adolescents, whose ages correspond to the initial and advanced phases of primary and secondary studies, according to the theoretical trajectories defined by the Argentine educational system. Intra-cohort and inter-cohort disparities are reported in relation to: school system coverage, over-age, drop-out, and termination; the acquisition of computer skills and foreign languages; and academic performance. The article is based on the secondary analysis of the data from the Enes-Pisac survey and the standardized Aprender tests of the National Ministry of Education. The results show strong educational inequalities, despite the high level of coverage of the school system, mainly associated with socioeconomic factors, the type of school management and the region of residence.

Resumo: Este artigo apresenta uma análise sincrônica da situação escolar e das trajetórias educacionais de quatro coortes de crianças e adolescentes, cujas idades correspondem às fases inicial e avançada do ensino fundamental e médio, de acordo com as trajetórias teóricas definidas pelo sistema educacional argentino. Analisa-se as disparidades intracoorte e intercoorte em relação à cobertura do sistema escolar, atras,o evasão e terminalidade; a aquisição de conhecimentos de informática e línguas estrangeiras; e o desempenho acadêmico. O artigo é baseado na análise secundária dos dados da enquete Enes-Pisac e dos testes padronizados Aprender do Ministério da Educação Nacional. Os resultados mostram fortes desigualdades educacionais, apesar do alto nível de cobertura do sistema de ensino, principalmente, associadas ao nível socioeconômico, ao tipo de gestão escolar e à região de residência.