Abstract Introduction: Pain evaluation has become an increasingly relevant concern for healthcare workers. According to the World Health Organization’s definition of Palliative Care, early identification, evaluation, and treatment of pain are important. Objective: Developing and rating an app for mobile devices that focuses on teaching the subject of pain management in Palliative Care. Research Methodology: The app was developed as a learning tool and tested by resident physicians while undergoing a qualitative and quantitative prospective evaluation. Mock tests were taken. The usability of the app was rated through the System Usability Scale (SUS), and satisfaction with the app was rated through the Net Promoter Score (NPS). The data was charted by using Microsoft Office Excel ® and was exported to the Statistical Package for the Social Sciences (SPSS) version 20.0 (IBM) software: an analysis was run with a 95% confidence interval. As for the qualitative analysis of the resident physicians’ evaluations, all available content was transcribed and properly organized in word clouds in order to highlight the most important pieces of feedback that the physicians presented regarding the app. The study was approved by the Ethics Committee. Main Results: The PaliPain App was developed as a database filled with clinical cases of patients undergoing palliative care who were experiencing varying levels of pain, and also presents analysis of test questions, videos and images. It was made available for the Android and iOS platforms. The average correct answers in a mock test about pain management during palliative care rose from 6.08 to 7.54. Thirteen resident physicians made use of the app. In the evaluation of the app’s usability, the average SUS score was 89.2. In the evaluation of user satisfaction, 54% of the resident physicians answered the question “from a scale of 0 to 10, what is the likelihood of you recommending the PaliPan app to a friend or colleague?” with a score of 10. Conclusion: The PaliPain App, developed and available on Android and iOS platforms, was well evaluated by resident physicians, presenting excellent scores for both usability and satisfaction. We identified that there was a gain in knowledge, with an average score in the resolution of questions increasing from 6.08 to 7.54 after free use of the application. The PaliPan app could be a useful tool to teach the subject of pain to resident physicians.

Resumo Introdução: Avaliação e manejo adequados da dor têm se tornado uma preocupação cada vez maior dos profissionais de saúde. Segundo a definição de cuidados paliativos da Organização Mundial da Saúde, são importantes a identificação precoce, a avaliação e o tratamento da dor. Objetivo: Este estudo teve como objetivos desenvolver e avaliar um aplicativo para dispositivos móveis voltado para o ensino de abordagem da dor em cuidados paliativos. Método: Foi desenvolvido um aplicativo móvel, seguido de sua utilização por médicos residentes e de avaliação qualiquantitativa prospectiva. Aplicou-se o teste de conhecimento. Obtiveram-se a usabilidade do aplicativo, por meio da System Usability Scale (SUS), e a satisfação, por meio do Net Promoter Score (NPS). Os dados foram tabulados no Microsoft Office Excel® e exportados para o software Statistical Package for the Social Sciences (SPSS) versão 20.0 (IBM): na realização das análises, adotou-se uma confiança de 95%. Para a análise qualitativa das avaliações, o conteúdo das respostas foi transcrito e organizado em nuvens de palavras para destacar as ideias centrais. O estudo foi aprovado pelo Comitê de Ética do Centro Universitário Christus. Resultado: Desenvolveu-se o PaliPain App, aplicativo constituído de casos clínicos de pacientes em cuidados paliativos com manifestações de dor, além de questões, vídeos e imagens, disponibilizado nas plataformas Android e iOS. Utilizaram o aplicativo 13 médicos residentes. A média de acertos de questões no pré-teste sobre dor em cuidados paliativos aumentou de 6,08 para 7,54 após manuseio do aplicativo. Na avaliação sobre a usabilidade do aplicativo, obtivemos na SUS uma média de 89,2, acima do nível considerado adequado de 70,0. Na avaliação de satisfação, 54% dos médicos responderam com pontuação 10 à pergunta: “Em uma escala de 0 a 10, quanto você recomendaria o aplicativo PaliPain a um amigo ou colega?”. Conclusão: O PaliPain App, desenvolvido e disponibilizado nas plataformas Android e iOS, foi bem avaliado pelos médicos residentes, apresentando ótimos escores de usabilidade e de satisfação. Identificamos que houve ganho de conhecimento, com pontuação média na resolução de questões aumentando de 6,08 para 7,54 após livre uso da aplicação. O PaliPain App pode ser uma ferramenta útil para ensino de abordagem de dor para médicos residentes.

Resumen La robótica es una asignatura exigente en la enseñanza superior. Es necesario actualizar las metodologías de aprendizaje para hacer uso de las nuevas tecnologías. Este trabajo presenta una nueva metodología para la enseñanza de la programación de robótica industrial utilizando una interfaz visual que se ejecuta en dispositivos Android, denominada Hammer. Esta herramienta permite controlar y programar robots a través de un entorno visual basado en el concepto Scratch. Gracias a ella, los alumnos pueden ver la parte práctica de los conceptos teóricos aprendidos en clase y, al mismo tiempo, probar y generar tareas y trayectorias para robots industriales mientras aprenden los fundamentos de la programación de robots. Los alumnos no necesitan conocimientos sobre el lenguaje de programación del robot de destino, pero sí conocimientos básicos de Robótica. Esta herramienta se ha probado en este artículo a través de cuatro diferentes ejercicios prácticos guiados. Todos los ejercicios se han validado mediante encuestas y los resultados se presentan y discuten en el artículo.

Abstract Robotics is a demanding subject in higher education. Learning methodologies need to be updated to make use of the new technologies. This paper presents a new methodology for teaching industrial robotics programming using a visual interface running on Android devices, called Hammer. This tool allows the control and programming of robots via a visual environment based on the Scratch concept. Thanks to it, students can see the practical part of theoretical concepts learned in class and, at the same time, test and generate tasks and paths for industrial robots while learning the basics of robot programming. Students don’t need to have any knowledge about the target robot programming language, but a basic knowledge of Robotics. This tool has been tested in this paper through four different guided practical exercises. All exercises have been validated through surveys and the results are presented and discussed in the paper.

Resumen: Existe preocupación por el bienestar animal (BA) en los sistemas productivos, por lo que es menester que trabajen en pos de este. Las buenas prácticas (BP) apuntan a mejorar la productividad y la rentabilidad de manera sustentable y tienen como uno de sus objetivos lograr el BA, por lo tanto, su cumplimiento representa una alternativa para conocer las condiciones en las que se encuentran los animales en los sistemas lecheros. En un trabajo público-privado, se desarrolló CheqTambo, una aplicación en línea para Android y la web, de libre acceso, que facilita la implementación de BP referidas a 6 áreas del proceso de producción de leche. En este trabajo se muestra el cumplimiento de las BP relativas al BA de CheqTambo para un grupo de tambos de Argentina. 13 BP del área de BA correspondientes a 322 tambos de Argentina fueron relevadas con CheqTambo, los relevamientos fueron realizados por los productores o asesores técnicos de los tambos en el período de mayo de 2021 a setiembre de 2022, con lo que se conformó una base de datos con 4186 respuestas. El área de BA obtuvo el mayor porcentaje de cumplimiento (83 %). De las 13 BP relevadas, 11 tuvieron un cumplimiento entre el 84 y el 91 %, mientras que 2 BP presentaron un porcentaje de cumplimiento menor, estas últimas fueron “sistema de ventilación y aspersión” y “sombra en el corral de espera” con valores de 50 y 69 % de cumplimiento respectivamente. “Condiciones en el arreo” obtuvo el mayor valor con un 91 % de cumplimiento. Todas las BP de BA son factibles de mejora, especialmente “sombra en el corral de espera” y “ventilación y aspersión”. CheqTambo se considera una herramienta útil para comenzar a trabajar respecto al BA en los tambos, para luego profundizar el trabajo con herramientas específicas.

Summary: There is concern about Animal Welfare (AW) in production systems, so it is necessary that they work towards it. The Good Practices (GP) aim to improve productivity and profitability in a sustainable manner and one of their objectives is to achieve the AW, therefore, compliance with them represents an alternative to know the conditions in which animals are found in dairy farms. CheqTambo was developed in a public-private partnership, is on line for Android and the web, with free access, that facilitates the implementation of GP in 6 areas of the dairy process. This work shows GP compliance related to the AW of CheqTambo. for a group of dairy farms in Argentina. Thirteen GP from the AW area corresponding to 322 dairy farms in Argentina were surveyed with CheqTambo. The surveys were carried out by the producers or technical advisors of the dairy farms in the period May 2021 to September 2022, a database was created with 4186 responses. The AW area obtained the highest % of compliance (83 %). Of the 13 GP surveyed, 11 had compliance between 84 and 91 %, while 2 GP had a lower % compliance, being “ventilation and sprinkler system” and “shade in the waiting pen” with values of 50 and 69 %, respectively. “Handling Conditions” obtained the highest value with 91 % compliance. All of GP of AW are feasible for improvement, especially “shade in the holding pen” and “ventilation and spraying”. CheqTambo is considered a suitable tool to start working on AW in dairy farms, to later deepen the work with specific tools.

Resumo: Existe a preocupação com o Bem-Estar Animal (BA) nos sistemas de produção, por isso é necessário que eles trabalhem para isso. As Boas Práticas (BP) visam melhorar a produtividade e lucratividade de forma sustentável e têm como um de seus objetivos atingir a BA, portanto, o cumprimento das mesmas representa uma alternativa para conhecer as condições em que se encontram. Em um esforço público-privado, foi desenvolvido o CheqTambo, um aplicativo online para Android e web, de acesso gratuito, que facilita a implementação do BP referente a 6 áreas do processo produtivo do leite. Este trabalho mostra o cumprimento dos BPs relacionados ao BA da CheqTambo para um grupo de fazendas leiteiras na Argentina. 13 BP da área da BA correspondentes a 322 fazendas na Argentina foram pesquisadas com CheqTambo. As pesquisas foram realizadas pelos produtores ou assessores técnicos das fazendas leiteiras no período de maio de 2021 a setembro de 2022, com as quais se formou um banco de dados com 4186 respostas. A área BA obteve o maior % de conformidade (83 %). Dos 13 BP pesquisados, 11 tiveram cumprimento entre 84 e 91 %, enquanto 2 BP apresentaram menor % de cumprimento, sendo o último “sistema de ventilação e aspersão” e “sombra no cercado” com valores de 50 e 69 % de cumprimento respectivamente. “Condições de arnês” obteve o maior valor com 91 % de conformidade. Todos os BP de BA são passíveis de melhoria, especialmente “sombra no cercado de espera” e “ventilação e pulverização”. O CheqTambo é considerado uma ferramenta adequada para iniciar o trabalho de BA em fazendas leiteiras, para posteriormente aprofundar o trabalho com ferramentas específicas.

Abstract The National Drug Formulary of the Republic of Cuba, in its version for mobile devices with the Android operating system, constitutes an essential application for health professionals in that country due to its potential use for medical and academic care purposes.

Resumen El Formulario Nacional de Medicamentos de la República de Cuba, en su versión para dispositivos móviles con sistema operativo Android, constituye una aplicación importante para los profesionales de la salud en ese país, por sus posibilidades de uso con fines de atención médica y académica.

Resumen El cultivo de aguacate se ha visto afectado por diversas plagas y enfermedades lo que ha limitado su comercialización. A causa de ello se ha generado el uso indiscriminado de productos químicos por parte de los productores, lo que ha provocado gran contaminación ambiental, aumento en los costos de producción y la presencia de residuos de pesticidas en los frutos. El objetivo del presente trabajo fue desarrollar una aplicación móvil para determinar la distribución espacial de problemas fitosanitarios en el cultivo de aguacate. El desarrollo de la aplicación se realizó en 2020 y se basó en la metodología Rational Unified Process. Se incorporaron fórmulas y modelos matemáticos para obtener y ajustar el semivariograma. También se anexo la fórmula del método de krigeado ordinario, con la finalidad de obtener mapas de densidad de las poblaciones de problemas fitosanitarios del cultivo de aguacate. La aplicación App Ahuacatl se puede instalar en celulares móviles o tabletas con el sistema operativo Android como ios. El usuario puede obtener su ubicación geográfica sin la necesidad de estar conectado a una red de internet o los datos móviles del celular.

Abstract The avocado crop has been affected by various pests and diseases, which has limited its commercialization. Because of this, the indiscriminate use of chemical products by producers has been generated, which has caused great environmental pollution, increased production costs and the presence of pesticide residues in the fruits. The objective of the present work was to develop a mobile application to determine the spatial distribution of phytosanitary problems in avocado crops. The application was developed in 2020 and was based on the Rational Unified Process methodology. Formulas and mathematical models were incorporated to obtain and fit the semivariogram. The formula of the ordinary kriging method was also added, in order to obtain density maps of the populations of phytosanitary problems of avocado crops. The application Ahuacatl App can be installed on mobile phones or tablets with the operating systems Android and iOS. The user can obtain their geographical location without the need to be connected to an internet network or mobile data of the cell phone.

Resumen Objetivo. Este estudio evalúa los efectos de la educación basada en el móvil (EBM) en el autoconcepto enfermero (ACE) entre los estudiantes de enfermería. Métodos. Estudio de métodos mixtos realizado entre los años 2020-2021 tuvo una fase cuantitativa principal y una fase cualitativa complementaria. En la fase cuantitativa se llevó a cabo un estudio cuasi-experimental con el diseño de cuatro grupos de Salomón en los que se asignaron 117 estudiantes de segundo año de enfermería de la Universidad de Ciencias Médicas de Shiraz, Irán. Participaron en los grupos de control 70 estudiantes: 37 del primer (C1) y 33 del segundo (C2) semestres del año académico 2020 y 40 estudiantes del primer semestre de 2021 como los grupos de intervención (I1: n=20, e I2: n=20). Los participantes de los grupos de intervención recibieron EMB relacionados con el CNS a través de una aplicación Android, mientras que sus homólogos de los grupos de control no recibieron este tipo de educación. Se utilizó el Cuestionario de Autoconcepto de Enfermería (ACE) de Cowin. En la fase cualitativa, se seleccionaron intencionadamente seis estudiantes de los grupos experimentales a quienes se les realizaron entrevistas semiestructuradas cara a cara. Además, se hicieron dos grupos de discusión con un grupo de seis y otro de cinco estudiantes de los grupos experimentales. Resultados. Mientras que las puntuaciones medias del ACE y sus dimensiones no cambiaron significativamente en el grupo C1, las puntuaciones medias pos-test de las mismas en el grupo I1 fueron significativamente mayores que los correspondientes valores pre-test (p<0.05), excepto para la dimensión de cuidado (p=0.586). Además, con excepción de la dimensión de atención (p>0.05), las puntuaciones medias pos-test de ACE y sus otras dimensiones en los grupos I1 y I2 fueron significativamente mayores que las de los grupos C1 y C2, respectivamente (p<0.05). El análisis de los datos cualitativos dio como resultado la generación del tema principal de crecimiento y desarrollo multidimensional con tres categorías principales: el desarrollo de estrategias de afrontamiento, el conocimiento de estrategias de profesionalización y el desarrollo de potenciales de gestión. Conclusión. La intervención EBM es eficaz para mejorar el ACE de los estudiantes de enfermería.

Abstract Objective. This study evaluates the effects of mobile-based education (MBE) on nurse self-concept (NSC) among nursing students. Methods. This embedded mixed methods study was conducted in 2020-2021 in a main quantitative phase and a supplementary qualitative phase. In the quantitative phase, a quasi-experimental study with the Solomon four-group design was conducted on 117 second-year nursing students of Shiraz University of Medical Sciences, Shiraz, Iran. 70 students in the first (C1: n=37) and the second (C2: n=33) semesters of the 2020 academic year were respectively considered as the control groups, and 40 students in the first semester of the 2021 academic year considered as the experimental groups (I1: n=20 and I2: n=20). Participants in the experimental groups received NSC-related MBE through an Android application, while their counterparts in the control groups received no NSC-related MBE. Cowin’s Nurse Self-Concept Questionnaire was used to assess the NSC. In the qualitative phase, six students from the experimental groups were purposively selected and interviewed through face-to-face semi-structured interviews. Moreover, two focus group discussions were held with a six-person and a five-person group of students from the experimental groups. Results. While the mean scores of NSC and its dimensions did not significantly change in the C1 group, the posttest mean scores of them in the E1 group were significantly greater than the corresponding pretest values (p<0.05), expect for the care dimension (p=0.586). Moreover, except for the care dimension (p>0.05), the posttest means scores of NSC and its other dimensions in the E1 and the E2 groups were significantly greater than the C1 and the C2 groups, respectively (p<0.05). Analysis of the qualitative data resulted in the generation of the main theme of multidimensional growth and development with three main categories, namely development of coping strategies, knowing professionalization strategies, and development of managerial potentials. Conclusion. NSC-related MBE is effective in improving nursing students’ NSC.

Resumo Objetivo. Avaliar os efeitos da educação baseada em dispositivos móveis (EBM) no autoconceito de enfermagem (ACE) entre estudantes de enfermagem da Shiraz University of Medical Sciences, Irã. Métodos. Estudo de métodos mistos que teve uma fase principal quantitativa e uma fase qualitativa complementar. Na fase quantitativa, foi realizado um estudo quase-experimental com o desenho de quatro grupos Solomon. 70 alunos participaram dos grupos de controle: 37 do primeiro (C1) e 33 do segundo (C2) semestre do ano letivo de 2020 e 40 alunos do primeiro semestre de 2021 como grupos de intervenção (I1: n=20, e I2: n=20). Apenas os participantes dos grupos de intervenção receberam EMBs relacionados à ACE por meio de um aplicativo Android. A escala de Cowin foi utilizada para avaliar o ACE. Na fase qualitativa, foram selecionados intencionalmente seis alunos dos grupos experimentais aos quais foram realizadas entrevistas semiestruturadas face a face. Além disso, foram feitos dois grupos de discussão (um de seis e outro de cinco) com alunos dos grupos experimentais. Resultados. Enquanto as pontuações médias do ACE e suas dimensões não mudaram significativamente no grupo C1, as pontuações médias pós-teste no grupo I1 foram significativamente maiores do que os valores pré-teste correspondentes (p<0.05), exceto para a dimensão do cuidado (p=0.586). Além disso, com exceção da dimensão atenção (p>0.05), as pontuações médias pós-teste do ACE e de suas outras dimensões nos grupos I1 e I2 foram significativamente maiores do que nos grupos C1 e C2, respectivamente (p<0.05). A análise dos dados qualitativos resultou na geração do tema principal crescimento e desenvolvimento multidimensional com três categorias principais: o desenvolvimento de estratégias de enfrentamento, o conhecimento de estratégias de profissionalização e o desenvolvimento de potenciais de gestão. Conclusão. A intervenção EBM foi eficaz em melhorar o ACE de estudantes de enfermagem.

Resumen Este documento revisa los modelos de sistemas de captación de energía de Radiofrecuencia (RF) a partir de la información recogida en varios artículos publicados en repositorios científicos de todo el mundo. Tiene como objetivo registrar información relevante de cada uno de ellos, como: topología del sistema, circuitos y características de cada etapa, componentes electrónicos utilizados, dimensiones, entre otros, para tabular y cotejar estos datos, con el fin de determinar cuál es el que presenta mejores características por etapa y así considerarlo para realizar una investigación profunda y mejorar su diseño para captar energía. En este estudio se utilizó una metodología dividida en cuatro fases: investigación, lectura científica, extracción de información relevante y tabulación. Una vez realizado el estudio de los sistemas seleccionados, se compararon los resultados obtenidos en cada uno y se seleccionó la topología, circuitos o elementos que obtuvieron mejores resultados para las etapas: Antena, Acoplamiento, Rectificación, Administración de energía y Almacenamiento de energía. Finalmente, se creó una aplicación para dispositivos Android en la que se encuentra toda la información recolectada y los resultados obtenidos de manera que funcione como una fuente de consulta para futuras investigaciones.

Abstract This document presents a review of models of Radiofrequency (RF) energy harvesting systems, extracted from articles published in scientific repositories around the world. Its objective is to extract relevant information from each of them, such as: system topology, circuits and characteristics of each stage, electronic components used, dimensions, among others. With this information, the data is tabulated and compared, in order to determine which one has the best characteristics according to each stage and consider it to carry out a deeper investigation and improve its design to capture more energy. To carry out this study, a methodology divided into four phases was used, which are: research, scientific reading, extraction of relevant information and tabulation. Once the study of the selected systems was carried out, a comparison was made between the results obtained in each one and the topology, circuits or elements that obtained the best results for the stages of: Antenna, Coupling, Rectification, Energy Management and Storage were selected. of energy. Finally, an application for Android devices was created in which all the information collected, and results obtained are found so that it works as a reference source for future research.

Abstract Automating remotely controlled intelligent systems to collect, analyze, and process data is one of the most common applications in different fields of application. Usually, analyzing the animal's diet requires much time and human capital; the experiments consist of placing the animal in a cage to collect consumption data. In this sense, incorporating technology to analyze the consumption of dry matter in ruminants is essential to increase the productive performance of the animal. This document focuses on developing a monitoring system for data collection, such as temperature and humidity, as well as the weight of food throughout the nutritional experiment, using a mobile application developed in Android Studio that sends and receives the information via Bluetooth technology to an electronic device based on the Arduino Nano microcontroller.

Resumen La automatización de sistemas inteligentes controlados remotamente para recolectar, analizar y procesar datos es una de las aplicaciones más comunes en diferentes campos de aplicación. Usualmente, para analizar la dieta del animal se requiere mucho tiempo y capital humano; los experimentos consisten en colocar al animal en una jaula para recolectar datos de consumo. En este sentido, incorporar tecnología para analizar el consumo de materia seca en rumiantes es fundamental para incrementar el desempeño productivo del animal. Este documento se enfoca en desarrollar un sistema de monitoreo para la recolección de datos, tales como la temperatura y la humedad, así como el peso de los alimentos a lo largo del experimento nutricional, utilizando una aplicación móvil desarrollada en Android Studio que envía y recibe la información vía tecnología Bluetooth a un dispositivo electrónico basado en el microcontrolador Arduino Nano.

Abstract: The main objective of this study was to design and develop a mobile application that contains the Kudo Box to promote intrinsic motivation among employees, using personalized cards with motivating messages, to improve organizations’ efficiency. The methodologies applied during the design and development stage were the incremental model and the technological acceptance model (TAM). The outcome was the design and development of a mobile application, which contains the management 3.0 tool named Kudo Box. This application can be used on Android devices at any place and time to send and receive personalized motivational cards among colleagues at a given organization. The mobile application complies with key TAM constructs and has an intuitive and attractive environment design for the user. In conclusion, the mobile application Kudo Box is easy to use and has a simple structure, as well as a good performance on mobile devices.

Resumen: El principal objetivo de este estudio fue diseñar y desarrollar una aplicación móvil que contiene la Caja Kudo para promover la motivación intrínseca de los empleados, por medio de tarjetas personalizadas con mensajes motivadores, y mejorar la eficiencia de las organizaciones. La metodología utilizada durante el diseño y desarrollo fue el modelo incremental y el modelo de aceptación tecnológica (TAM). Como resultado se diseñó y desarrolló una aplicación móvil que contiene la herramienta de administración 3.0 llamada Caja Kudo. Esta aplicación puede utilizarse en dispositivos Android en cualquier lugar y hora para enviar y recibir tarjetas motivacionales personalizadas entre compañeros de una organización. La aplicación móvil cumple con los constructos clave del TAM y cuenta con un diseño de entorno intuitivo y atractivo para el usuario. En conclusión, la aplicación Caja Kudo es fácil de usar y cuenta con una estructura simple, además de un buen rendimiento en el dispositivo móvil.

RESUMEN: Introducción: Los ancianos con demencia pueden ser una carga para sus familias. El conocimiento de los factores de riesgo de la demencia puede reducir los efectos negativos de la propia demencia. El uso de aplicaciones basadas en Android puede ayudar a las familias a prevenir la senilidad y cuidar a los ancianos. Propósito: Este estudio tiene como objetivo formular un modelo efectivo de enfermería familiar a través de la aplicación Android Dementia Care Family - Raden Siti Maryam (KEDUSIA-RSM), para mejorar la función cognitiva y monitorear los factores de riesgo de demencia en los ancianos. Métodos: Este estudio utilizó un diseño de investigación operativa en dos fases: 1) desarrollo del modelo, integración de los antecedentes del estudio, revisión de la literatura y consulta de expertos, y 2) prueba del modelo piloto que compara los grupos de prueba previa y posterior con el grupo de control. La técnica de muestreo utilizada fue el muestreo por conglomerados compuesto con los resultados de 156 muestras, es decir, 79 familias en el grupo de intervención y 77 familias en el grupo de control. Resultados: La primera etapa produjo dos componentes principales del modelo de enfermería KEDUSIA-RSM, a saber, guías y aplicaciones basadas en Android; hubo una diferencia media significativa en la función cognitiva y el manejo de los factores de riesgo de demencia entre los grupos antes y cuatro meses después del modelo de intervención (valor de p < 0,05). Conclusión: KEDUSIA-RSM ha demostrado ser eficaz para mejorar la función cognitiva y controlar los factores de riesgo de demencia en los ancianos. Es muy recomendable replicar el modelo, realizar capacitación continua para enfermeras en salud pública y desarrollar otros estudios en aplicaciones basadas en iOS o en la web con modelos similares.

ABSTRACT: Introduction: Elderly people with dementia can become a burden to their family. Knowledge of the risk factors for dementia may lower the negative effects of dementia itself. Using Android-based applications can be helpful to families in preventing dementia and caring for the elderly. Objective: This study aimed to formulate an effective family nursing model through an Android-based application, Keluarga Peduli Demensia - Raden Siti Maryam (KEDUSIA-RSM), to enhance cognitive function and to monitor the risk factors of dementia in the elderly. Methods: This study employed an operational research design in two stages: 1) model development, integrating the study background, literature review, and expert consultation, and 2) model trials comparing pre- and post-test groups to control group. The sampling technique used was composite clustering sampling with the results of 156 samples: 79 families in the intervention group and 77 families in the control group. Results: The first stage resulted in the creation of two of the main components of the KEDUSIA-RSM nursing model: the guidebook and its android-based application; There were significant mean differences in cognitive function and dementia risk factor management between those groups before and four months after intervention model (p value < 0.05). Conclusion: KEDUSIA-RSM is proven to be effective in raising cognitive function and managing risk factors for dementia in the elderly. It is highly recommended to replicate the model, to conduct sustainable training for nurses within the community health field and to develop another study on an iOS-based or web-based app with a similar model.

Resumo Os aplicativos de saúde para dispositivos móveis se revelam como uma ferramenta importante para a educação em saúde para apoiar o tratamento de diferentes doenças, como o diabetes mellitus (DM). Nesse sentido, esta pesquisa analisa as funcionalidades dos aplicativos existentes na língua portuguesa destinados a auxiliar pessoas com DM. Foi realizada uma busca sistemática para identificação dos aplicativos por meio dos indexadores “Controle de diabetes”, “Diabetes”, “Glicose” e “Insulina” nos sistemas operacionais Android e iOS. Foram encontrados 576 aplicativos, porém, apenas 63 (10,9%) atenderam aos critérios de inclusão. De acordo com sua funcionalidade, os aplicativos apresentaram as seguintes possibilidades de uso: 13 educativos; 12 monitoram atividade física; 18 contêm diário alimentar; 28 contam carboidratos; 34 monitoram a insulina; 49 monitoram a glicemia; 33 apresentam gráficos; 9 alertam sobre a presença de hipo ou hiperglicemia; 17 lembram coleta de glicemia; e 5 apresentaram receitas culinárias. As funcionalidades que auxiliam na mudança de comportamento e individualizam estratégias de tratamento ainda são incipientes. Sugere-se o desenvolvimento de ferramentas auxiliares para interação dos aplicativos com seus usuários e a comprovação da sua eficácia.

Abstract Health applications for mobile devices are an important tool for a health education to support the treatment of different diseases, such as diabetes mellitus (DM). In this sense, this research analyzes the functionalities of existing applications in Portuguese aimed at helping people with DM. A systematic search was performed to identify the applications by the descriptors "Diabetes control,” “Diabetes,” “Glucose,” and “Insulin” in Android and iOS operating systems. A total of 576 applications were found, but only 63 (10.9%) met the inclusion criteria. According to their functionality, the apps presented the following possibilities of use: 13 are educational; 12 monitor physical activity; 18 contain a food diary; 28 count carbohydrates; 34 monitor insulin; 49 monitor blood glucose; 33 present graphs; 9 warn about the presence of hypo or hyperglycemia; 17 recall blood glucose collection; and 5 present culinary recipes. Functionalities that assist in behavior change and that individualize treatment strategies are still incipient. We suggest the development of auxiliary tools for interaction of applications with their users and the proof of their effectiveness.

ABSTRACT Objective: To assess mobile application quality on the management of postpartum hemorrhage available in the digital stores of the main operating systems. Method: A descriptive evaluative study, carried out from January to February 2023 on the App Store® and Google Play Store®. The Mobile Application Rating Scale was used to assess quality (engagement, functionality, aesthetics, information and subjective quality). Information extraction and assessment on postpartum hemorrhage was carried out using a table with information based on official documents, containing stratification, prevention, diagnosis and treatment. Results: Seven applications were included; of these, three were in English, six had an Android operating system. The quality mean was 3.88. The highest means were for functionality, reaching 5.0 (n = 6), and the lowest were for engagement, less than 3.0 (n = 4). The majority of applications presented less than 50% of the information on postpartum hemorrhage management. Conclusion: The applications assessed achieved an acceptable quality mean and, according to health organizations’ current protocols, did not contain the necessary information for complete postpartum hemorrhage management.

RESUMEN Objetivo: Evaluar la calidad de las aplicaciones móviles sobre el manejo de la hemorragia posparto disponibles en las tiendas digitales de los principales sistemas operativos. Método: Estudio de evaluación descriptivo, realizado de enero a febrero de 2023 en las tiendas digitales App Store® y Google Play Store®. Se utilizó la Escala de Calificación de Aplicaciones Móviles para evaluar la calidad (compromiso, funcionalidad, estética, información y calidad subjetiva). La extracción y evaluación de la información sobre la hemorragia posparto se realizó mediante una tabla con información basada en documentos oficiales, que contiene clasificación, prevención, diagnóstico y tratamiento. Resultados: Se incluyeron siete aplicaciones; de ellos, tres estaban en inglés, seis tenían sistema operativo Android. El promedio de calidad fue 3,88. Los promedios más altos fueron para la funcionalidad, alcanzando 5,0 (n = 6), y los más bajos fueron para el compromiso, menos de 3,0 (n = 4). La mayoría de las solicitudes presentaron menos del 50% de la información sobre el manejo de la hemorragia posparto. Conclusión: Las aplicaciones evaluadas alcanzaron un promedio de calidad aceptable y, según los protocolos vigentes de las organizaciones de salud, no contenían la información necesaria para el manejo completo de la hemorragia posparto.

RESUMO Objetivo: Avaliar a qualidade dos aplicativos móveis sobre o manejo da hemorragia pós-parto disponíveis nas lojas digitais dos principais sistemas operacionais. Método: Estudo descritivo de avaliação, realizado de janeiro a fevereiro de 2023 nas lojas digitais App Store® e Google Play Store®. Foi utilizada a Mobile Application Rating Scale para avaliação da qualidade (engajamento, funcionalidade, estética, informação e qualidade subjetiva). A extração e a avaliação das informações sobre hemorragia pós-parto foram realizadas a partir de um quadro com informações baseadas em documentos oficiais, contendo a classificação, prevenção, diagnóstico e tratamento. Resultados: Sete aplicativos foram incluídos; desses, três estavam em inglês, seis tinham sistema operacional Android. A média de qualidade foi de 3,88. As maiores médias foram da funcionalidade, alcançando 5,0 (n = 6), e as menores foram de engajamento, menos que 3,0 (n = 4). A maioria dos aplicativos apresentou menos de 50% das informações sobre o manejo de hemorragia pós-parto. Conclusão: Os aplicativos avaliados alcançaram média de qualidade aceitável e, conforme os protocolos vigentes das organizações de saúde, não continham as informações necessárias para o manejo completo da hemorragia pós-parto.

Surface dust can be a source carrier of viruses, bacteria and air pollution which entail common health issues such as asthma attacks, chest tightness, wheezing and difficulty in breathing. Visually perceived, cleanliness is one measure of indoor air quality and is the subjective assessment of cleaning quality. The aim of this work is to use pattern recognition mediated through a mobile application to analyse and classify dust in households, in order to obtain useful information about the dust sources for the selection of appropriate countermeasures in view to improve air quality and better manage the cleaning of indoor surfaces. The dust type categorization in this work are pollen, rock and ash. This paper also explores the concept of transfer learning techniques and adopts it for small particle classification using CNN models by developing a surface dust application for android smartphones. The behaviour of InceptionV2, InceptionV3, ResNetV2, MobileNetV2 and MobileNetV3 as dust feature extractors were analysed based on their accuracy, precision, recall and Fl-Scoreperformance metrics. Results show that MobileNetV3 model is best suited as a dust feature extractor and rapid dust prediction with an accuracy of up to 92% and low-size storage of only 30 megabytes.

Abstract A complex web of causation is involved in adiposity, including environmental, social and genetic factors. We aimed to investigate associations between genetic factors such as ancestry and single nucleotide polymorphisms, and obesity-related traits in a sampled Brazilian population. A sample of 501 unrelated adults participating in 2013 at the longitudinal Pró-Saúde Study (EPS) in Rio de Janeiro, Brazil was selected. We analysed 46 AIM-InDels (insertion/deletion) as genetic ancestry markers and four single nucleotide polymorphisms located in the genes MC4R (rs17782313), FTO (rs9939609), FAIM2 (rs7138803) and BDNF (rs4074134), previously described as associated with obesity. The selected obesity-related markers were anthropometric parameters such as body mass index, waist circumference and waist-to-hip ratio, and body composition measurements namely body fat percentage, android fat mass and gynoid fat mass. The sample showed greater European ancestry (57.20%), followed by African (28.80%) and lastly Amerindian (14%). Our results suggest that the rs4074134 (BDNF) CC genotype was directly associated with gynoid fat mass, whereas body fat percentage, android fat mass and the anthropometric parameters seem not to be associated with neither ancestry nor the four polymorphisms in this population sample, most likely due to a stronger role of social, behavioural and environmental determinants.

ABSTRACT. Among the forage species, especially in semiarid ecosystems, cactus pear is exceptional because of its high tolerance to adverse conditions and high productivity. Due to this alone, several studies have been conducted to identify the main technologies for this crop. Despite being consolidated and integrated, the cactus pear production system has limited accessibility, technical assistance, and availability of information for those dedicated to its production. This study aimed to present a digital platform, website, and applications to provide technical information on the cactus pear and demonstrate the efficiency of these applications through experimental data. On this digital platform, applications were made available for predicting the productivity of cactus pear using artificial neural networks (ANN) on a computer with routines in the R software and by simple linear regression (SLR) on smartphones on the Android system of the MIT App Inventor 2 platform. In addition, using the smartphone app, it is possible to obtain the cladode area through multiple linear regression (MLR). It is also possible to obtain the estimates of the experimental plot sizes by the maximum modified curvature, linear and quadratic methods with plateau response, relative information, comparison of variances, and convenient plot size. The platform provides technical information associated with the cactus pear crop from different sources (dissertations, theses, articles) and formats (video classes and teaching resources), offline for applications, and online with download for publications, dissertations, theses and articles, video classes, and several didactic resources. The biomathematical models integrated with the applications were highly precise in predicting the phenomena, in which the variation explained by the models in the prediction of responses for future observations had R² values of 0.95, 0.72, and 0.92, respectively, for productivity with computer-ANN and smartphone-SLR, and for the cladode area with a smartphone - MLR.