bluuebunny/crossref_metadata_2025_split huggingface dataset:
estimulación de la inteligencia artificial y su impacto en el proceso de enseñanza y aprendizaje
Authors: Prieto-López Yeimer , Ayala-Pazmiño Mario , Baquerizo-Álava Verónica 
Published: January 2022

Las exigencias del mundo contemporáneo demandan en la actualidad en todos los docentes el reto de generar valor agregado y alcanzar nuevas experticias para el consumidor, potenciadas con inteligencia artificial (IA), misma que se ha convertido en un determinante que puede propiciar ventaja competitiva empresarial, gerencial y tiene su impacto en el proceso de enseñanza y aprendizaje en cualquier contexto.
Como objetivo rector del presente nos propusimos aportar un  estudio  mediante una  sistematización teórica respecto a las tecnologías de la IA aplicadas al marketing desde la materia de Metodología de Investigación en la Facultad de Marketing y Comunicación-Universidad Tecnológica Ecotec, con el que se beneficiarán tanto la comunidad científica, como las empresas en la toma de decisiones estratégicas para publicidad orientada a los gustos del cliente direccionada por la preparación que reciben nuestros estudiantes y lo más importante es que mediante la elaboración de los diferentes proyectos finales de investigación sea estimulada la inteligencia artificial.
En este sentido, se sistematizan los principales aportes teóricos, surgimiento, desarrollo, tendencia, perspectivas, componentes, y las contribuciones de las tecnologías de la IA en el marketing. Con este fin, se analizaron documentos en español e inglés en bases de revistas indexadas en Scopus, Scielo, Latindex, Redalyc, Dialnet, Web of Science; mismas que posibilitaron y facilitaron información actualizada y pertinente en torno a las variables abordadas en la investigación.
En el desarrollo del trabajo prevaleció la investigación cuantitativa, con diseño no experimental – transversal, teniendo como muestra a dos paralelos de Metodología de Investigación y uno de Diseño de Proyectos de Investigación, que direccionen sus investigaciones con la estimulación de la inteligencia artificial. Se utilizará la técnica de la encuesta para el proceso de recolección de datos mediante un cuestionario basado en la escala de Likert.
Influencia de la comunicación oral en las relaciones interpersonales en un contexto universitario en la modalidad virtual
Authors: Morán-Franco Martha , Vasconcellos-Canales Gianella 
Published: January 2022

El presente estudio analiza la influencia de la comunicación oral en las relaciones interpersonales entre docentes y estudiantes de nivel superior.
A partir de la revisión bibliográfica de la postura de diversos investigadores y estudios, el artículo aborda dos aspectos que favorecen el afianzamiento del conocimiento por parte del estudiante universitario, aún en entornos virtuales: la comunicación oral y las relaciones interpersonales. La primera es una herramienta de conocimiento para constatar el dominio de los contenidos en el educando, durante la práctica educativa; y la segunda, motiva un diálogo directo por parte de los dos autores del proceso enseñanza-aprendizaje, mientras se produce la retroalimentación. El objetivo de esta investigación es analizar el impacto que tienen estos dos aspectos en la tarea educativa dentro de la modalidad virtual y demostrar que la comunicación oral sigue siendo la herramienta principal para que el resto de las estrategias de aprendizaje puedan desarrollarse y fortalecerse. La metodología aplicada es correlacional puesto que atañe las dos variables en mención. En conclusión, se ha podido evidenciar que la herramienta de la comunicación oral ha ejercido antes y durante la pandemia del Sars-Cov 19, el mismo papel importante para el dinamismo, motivación, constatación y afianzamiento del conocimiento del aprendizaje en entornos virtuales como lo ha hecho antes en los presenciales.
Modelo Comunicacional para la prevención del maltrato a la mujer agudizado en los tiempos de pandemia
Authors: Narvaéz-Marcillo Keyla , González-Quinto Dylan , Prieto-López Yeimer 
Published: January 2022

El problema en el que se ha convertido el maltrato a la mujer en tiempos de pandemia contra el COVID-19 a nivel mundial, no es un secreto, pese a que comenzó el 2019 y en el cual más de 90 países estuvieron en confinamiento no fue impedimento para desatar un peligro mortal, en contra de las mujeres, el aumento a nivel general del femicidio, el incremento de la violencia doméstica de género hacia la mujer, entre otros. Basado en los últimos 6 meses a nivel mundial aumento un porcentaje del 60% de mujeres, niñas y adolescentes de edades entre los 15 a 60 años maltratadas convirtiéndose esto en una mortal, oscura y segunda pandemia. (Phumzile Mlambo-Ngcuka, ONU MUJERES, 2020).
Por lo cual, esta investigación plantea potenciar la información y conocimiento hacia las mujeres en general, utilizando un eficaz modelo comunicacional como es el de Laswell, Lazarsfield, Hovloand y Lewin quienes evidenciaron el modelo E-O-R(estimulo-organismo-respuesta) el mismo que señala: quién dice el mensaje, qué canal usa, para quién está dirigido y qué resultado quiere obtener de manera precisa (Galeano, 2002).
Aplicar medidas preventivas donde se comunique de manera efectiva que, actualmente hay servicios que son esenciales para su ayuda y prevención, el apoyo mutuo a las afectadas y sobrevivientes, puesto que cuando una mujer comparte su experiencia, rompe el ciclo, las cero tolerancias hacia la violencia contra la mujer, para así dar fin a esto.
La presente investigación es de tipo cualitativa, donde ha prevalecido la aplicación de métodos científicos; tales como: el histórico-lógico, la sistematización teórica, el análisis y la síntesis como parte de ella se realizó una encuesta a expertos y estudiantes del tema. El objetivo de esta investigación es elaborar un modelo comunicacional preventivo contra el maltrato a la mujer agudizado en tiempos de pandemia.
gerencia educativa y su influencia en el proceso de enseñanza aprendizaje en la institución educativa rural La Violeta
Authors: Hernández-Giraldo David , Tovar-Gutiérrez Mónica 
Published: January 2022

Esta investigación estudia el problema de los factores y aspectos de la gerencia educativa y su impacto en los procesos de enseñanza aprendizaje de los estudiantes de la institución educativa rural La violeta, para identificar la influencia que tiene la gestión gerencial en los procesos educativos, a partir de analizar el desempeño gerencial. El tipo de investigación es cuantitativa no experimental, la muestra estuvo compuesta por 183 participantes entre directivos, personal administrativo, docentes, alumnos y padres de familia del centro educativo. Se analizaron 58 aspectos que relacionan la gerencia educativa en los procesos educativos, de los cuales 6 demostraron una correlación y dependencia positiva directa entre la gerencia educativa y el proceso de dirección, diseño curricular, implementación curricular, orientaciones pedagógicas, capacitación docente y clima laboral; lo que significa, que cualquier cambio de estas variables, explica el proceder de la gestión directiva.

Los hallazgos permitieron identificar que existe una incidencia desfavorable de la gestión gerencial sobre el rendimiento académico de los estudiantes en los niveles de primaria y secundaria de la institución. En conclusión, se considera necesario diseñar una propuesta, con fundamento en la presente investigación para moderar las variables de riesgo que están afectando el proceso de enseñanza-aprendizaje de los estudiantes de la institución educativa rural la Violeta.
IoT and Raspberry Pi application in the food industry: a systematic review
Authors: Endres Creciana Maria , Pelisser Crivian , Finco Doglas André , Silveira Maristela Schleicher , Piana Valério Junior 
Published: January 2022

The Industry 4.0 technologies are in ascension in the worldwide market, in Brazil still needs to be explored. It was made a Systematic Review to measure the application of IoT in the food industry. Some platforms were used to select works, applying the string “IoT AND Raspberry Pi AND Cheese”. It was possible to evidence the majority of IoT applications in the food industry, focus on the control of temperature, humidity, color, traceability of productive chain, and enlargement of sustainability in the food industry. The most difficulties faced in the conventional application of IoT are related to the high cost of proprietary arquitectures, qualified manpower and obstacles of data security implementation. There are alternatives that aim to reduce the costs of implementation, like the utilization of Raspberry Pi. The food industry presents potential application of technologies that aim for the quality of products, being an excellent opportunity.
Prevalência e fatores de risco para transtornos de ansiedade em alunos de graduação da área da saúde de uma universidade pública do estado do Pará
Authors: Leal Laís Sena , Andriolo Regis Bruni , Araújo Lucivaldo da Silva 
Published: January 2022

Introdução: A vivência acadêmica traz desafios que podem, em determinados contextos, propiciar o surgimento dos transtornos de ansiedade. Objetivos: Verificar a prevalência de transtornos de ansiedade em graduandos dos cursos de saúde em uma Universidade Pública do Estado do Pará; verificar a relação entre transtorno de ansiedade, suporte social recebido, fatores socioeconômicos e demográficos. Metodologia: A pesquisa foi quantitativa analítica observacional transversal, realizada junto aos graduandos dos seguintes cursos das ciências da saúde: Terapia ocupacional, educação física, biomedicina, medicina e fisioterapia, através de pesquisa de campo, com aplicação de questionário online, no período de fevereiro a julho de 2021, utilizando como variável primária a aplicação da Escala de Hamilton para Avaliação da Ansiedade, e como variáveis secundárias, a Escala de Satisfação com o Suporte Social e a variável socioeconômica cultural, através de questionário. Resultados: No que se relaciona à maior prevalência dos transtornos de ansiedade detectou-se, que foi maior nos cursos de Terapia Ocupacional e Educação Física, maior junto aos acadêmicos que cursavam 3º e 2º anos, maior no sexo feminino, além disso, mostrou que quanto menor renda individual média dos acadêmicos, e os que contavam com menor suporte social recebido, maiores foram os escores para transtornos de ansiedade. Conclusão: A pesquisa revelou associações entre a prevalência dos transtornos de ansiedade nos cursos da área da saúde e os fatores que colaboram para este quadro. É imprescindível que os discentes e o corpo docente busque o melhor direcionamento do acadêmico a fim de prevenir os agravos associados a esta patologia.
Perfil materno, gestacional e classificação de Robson por tipo de parto ocorridos em Cáceres-MT
Authors: Santos Cynthia Silva , Souza Júlia Salomé de , Campos Adryelle Lemes de , Hartwig Shaiana Vilella 
Published: January 2022

Introdução: O parto é uma experiência particular e importante na vida de um casal, para mulher envolve outros sentimentos por ser a principal envolvida, assim, a enfermagem obstétrica pode ser um potencial facilitador nas ações de educação e saúde durante o ciclo gravídico puerperal, para o empoderamento da mulher. Objetivo: Analisar o perfil materno, gestacional e a escala de Robson por tipo de partos ocorridos em Cáceres-MT entre os anos de 2015 a 2019. Método: Estudo epidemiológico descritivo, analítico, longitudinal, retrospectivo de natureza quantitativa através de dados secundários do banco de dados do DATASUS. Resultados e discussão: Os resultados mostram semelhança entre o perfil materno e obstétrico das puérperas independente da via de parto, na escala de Robson os partos normais tiveram maiores taxas nos grupos 3, 1 e 10 e nos partos cesáreos prevaleceu os grupos 5, 1 e 10. Conclusão: Foi possível traçar o perfil socioeconômico e obstétrico das puérperas usuárias do serviço obstétrico do município de Cáceres, além de avaliar pela classificação de Robson que a maioria da população estudada é elegível para o parto normal conforme seu perfil obstétrico, sendo fundamental profissionais capacitados e condições adequadas para que isso ocorra.
LIGHTWEIGHT MORTAR GEOPOLIMER BASED ON FLY ASH AND PALM ASH
Authors: Edowinsyah Edowinsyah , Firdaus Firdaus 
Published: January 2022

This research discusses the use of alumunium powder in the manufacture of geopolymer mortar made from fly ash and palm ash, with the aim of knowing the optimal amount of alumunium powder mixture against the compressive strength of geopolymer mortar. The research method used experimental methods in the laboratory, to examine the compressive strength of different geopolymer mortar tests used in the form of cubes measuring 5 x 5 x 5 cm with a mixture composition of NaOH: Na2SiO3 = 1: 2.5, Activator: Precursor = 1: 1, Fine Aggregate: Precursor = 1.5: 1 Concentration of NaOH = 12 M for the ratio of fly ash use: palm ash = 75: 25% using alumunium powder as much as 0, 0.5, 0.75 and 1%. Mortar strength testing was carried out after 3, 7, 14, 21 and 28 days of maintenance
The compressive strength results obtained in each composition of the geopolymer mortar mixture are for geopolymer mortar without a mixture of alumunium powder as large as Mpa, for geopolymer mortar with a mixture of alumunium powder as much as 0.5%, 0.75% and 1% have a compressive strength of 20.9 Mpa, 15.2 Mpa, 12.7 Mpa Dan 9,7 Mpa
RETRACTED: BCNet: A Novel Network for Blood Cell Classification
Authors: Zhu Ziquan , Lu Siyuan , Wang Shui-Hua , Górriz Juan Manuel , Zhang Yu-Dong 
Published: January 2022

Aims: Most blood diseases, such as chronic anemia, leukemia (commonly known as blood cancer), and hematopoietic dysfunction, are caused by environmental pollution, substandard decoration materials, radiation exposure, and long-term use certain drugs. Thus, it is imperative to classify the blood cell images. Most cell classification is based on the manual feature, machine learning classifier or the deep convolution network neural model. However, manual feature extraction is a very tedious process, and the results are usually unsatisfactory. On the other hand, the deep convolution neural network is usually composed of massive layers, and each layer has many parameters. Therefore, each deep convolution neural network needs a lot of time to get the results. Another problem is that medical data sets are relatively small, which may lead to overfitting problems.Methods: To address these problems, we propose seven models for the automatic classification of blood cells: BCARENet, BCR5RENet, BCMV2RENet, BCRRNet, BCRENet, BCRSNet, and BCNet. The BCNet model is the best model among the seven proposed models. The backbone model in our method is selected as the ResNet-18, which is pre-trained on the ImageNet set. To improve the performance of the proposed model, we replace the last four layers of the trained transferred ResNet-18 model with the three randomized neural networks (RNNs), which are RVFL, ELM, and SNN. The final outputs of our BCNet are generated by the ensemble of the predictions from the three randomized neural networks by the majority voting. We use four multi-classification indexes for the evaluation of our model.Results: The accuracy, average precision, average F1-score, and average recall are 96.78, 97.07, 96.78, and 96.77%, respectively.Conclusion: We offer the comparison of our model with state-of-the-art methods. The results of the proposed BCNet model are much better than other state-of-the-art methods.
A Multicenter Assessment of Anatomic Suitability for Iliac Branched Devices in Eastern Asian Patients With Unilateral and Bilateral Aortoiliac Aneurysms
Authors: Li Zheyun , Zhou Min , Wang Guili , Yuan Tong , Wang Enci , Zhao Yufei , Shu Xiaolong , Zhang Yuchong , Lin Peng , Fu Weiguo , Wang Lixin 
Published: January 2022

Objective: This study aims to assess the suitability of four types of commercial iliac branch device systems to treat Eastern Asian abdominal aortic aneurysm (AAA) patients with bilateral or unilateral common iliac artery aneurysms (CIAAs).Methods: Patients with a coexisting AAA and a unilateral or bilateral CIAAs who underwent endovascular aneurysm repair (EVAR) at two tertiary centers in China from 2015 to 2017 were reviewed. Morphology of lesions was measured and the anatomic suitability for Cook iliac branch device (IBD), Gore iliac branch endoprosthesis (IBE), Lifetech iliac branch stent graft (IBSG), and Jotec IBD was evaluated according to the latest instructions for use.Results: Seventy-six patients with AAA were enrolled, including 35 bilateral CIAAs, 41 unilateral CIAAs. A hundred and eleven lesions were investigated aggregately: 16.2, 28.8, 21.6, and 19.8% met the criteria for Cook IBD, Gore IBE, Lifetech IBSG, and Jotec IBD, respectively. A total of 34 (44.7%) patients could be treated for at least one lateral lesion. The diameter of the internal iliac artery (IIA) was the most common restriction for IBD application. Additionally, the IIA diameter of lesions in the bilateral group was significantly larger compared with the unilateral group (P &lt; 0.001). Based on the anatomical characteristics alone, it is likely that IBDs will be more suitable for unilateral lesions than bilateral ones (P &lt; 0.05). However, there was no difference between the suitability for patients with unilateral or bilateral CIAAs (P &gt; 0.05).Conclusions: Less than half of Eastern Asian patients with aortoiliac aneurysms were eligible for IBD application. This was primarily due to the IIA diameter failing to meet the criteria. And thus, the suitability of lesions in bilateral group was significantly lower than that in the unilateral group. Aiming to expand the indications and optimize the design of the iliac branch devices, IIA diameter and the anatomical characteristics of the bilateral lesions should be considered deliberately.
Selected Crater and Small Caldera Lakes in Alaska: Characteristics and Hazards
Authors: Waythomas Christopher F. 
Published: January 2022

This study addresses the characteristics, potential hazards, and both eruptive and non-eruptive role of water at selected volcanic crater lakes in Alaska. Crater lakes are an important feature of some stratovolcanoes in Alaska. Of the volcanoes in the state with known Holocene eruptive activity, about one third have summit crater lakes. Also included are two volcanoes with small caldera lakes (Katmai, Kaguyak). The lakes play an important but not well studied role in influencing eruptive behavior and pose some significant hydrologic hazards. Floods from crater lakes in Alaska are evaluated by estimating maximum potential crater lake water volumes and peak outflow discharge with a dam-break model. Some recent eruptions and hydrologic events that involved crater lakes also are reviewed. The large volumes of water potentially hosted by crater lakes in Alaska indicate that significant flowage hazards resulting from catastrophic breaching of crater rims are possible. Estimates of maximum peak flood discharge associated with breaching of lake-filled craters derived from dam-break modeling indicate that flood magnitudes could be as large as 103–106 m3/s if summit crater lakes drain rapidly when at maximum volume. Many of the Alaska crater lakes discussed are situated in hydrothermally altered craters characterized by complex assemblages of stratified unconsolidated volcaniclastic deposits, in a region known for large magnitude (&gt;M7) earthquakes. Although there are only a few historical examples of eruptions involving crater lakes in Alaska, these provide noteworthy examples of the role of external water in cooling pyroclastic deposits, acidic crater-lake drainage, and water-related hazards such as lahars and base surge.
Drainage Density and Its Controlling Factors on the Eastern Margin of the Qinghai–Tibet Plateau
Authors: Gao Hongshan , Liu Fenliang , Yan Tianqi , Qin Lin , Li Zongmeng 
Published: January 2022

The drainage density (Dd) is an important index to show fluvial geomorphology. The study onDdis helpful to understand the evolution of the whole hydrological and geomorphic process. Based on the Shuttle Radar Topography Mission 90-m digital elevation model, the drainage network of basins along the eastern margin of the Qinghai–Tibet Plateau is extracted using a terrain morphology-based method in ArcGIS 10.3, andDdis calculated. The spatial characteristics ofDdare analyzed, and the relationship betweenDdand its influencing factors, e.g., the topography, precipitation, and vegetation coverage, is explored. Our results show that terrains with a plan curvature ≥3 can represent the channels in the study area.Ddranges from 2.5 to 0.1 km/km2, increases first, and then decreases from north to south on the eastern margin of the Qinghai–Tibet Plateau.Dddecreases with increasing average slope and average local relief. On the low-relief planation surfaces,Ddincreases with increasing altitude, while on the rugged mountainous above planation surfaces,Dddecreases rapidly with increasing altitude.Ddfirst increased and then decreased with increasing mean annual precipitation (MAP) and normalized difference vegetation index (NDVI), andDdreaches a maximum in the West Qinling Mountains with a semi-arid environment, indicating thatDdin different climatic regions of the eastern margin of the Qinghai–Tibet Plateau was mainly controlled by precipitation and vegetation.
Evaluation of the Emergency Remote Learning of Veterinary Anatomy During the COVID‐19 Pandemic: Global Students’ Perspectives
Authors: Mahdy Mohamed A. A. , Ewaida Zamzam M. 
Published: January 2022

Purpose: The present study assessed the shift to remote teaching of veterinary anatomy during the COVID‐19 pandemic based on students’ perspectives.Methods: Participants were invited to answer an anonymous online Google Form questionnaire using the snowball sampling method. Only students who studied anatomy online during the COVID-19 lockdown period were eligible to answer the questionnaire. A mixed-method research design was used to evaluate students’ perspectives.Results: A total of 961 participants were enrolled in this study from 87 countries and six continents. Data showed that the majority of students (81.6%) were interested in studying anatomy online during the COVID-19 lockdown. Moreover, approximately 82% of students were comfortable with the technological skills, and approximately 61% of students can understand online anatomy well during the lockdown. Furthermore, approximately 52.76% of students believed that online learning of anatomy suited for theoretical, 8.74% believed that it suited for practical parts, and 30.28% believed that it suited for both theoretical and practical parts. On the contrary, about 36.63% of students thought that online learning of anatomy could replace face-to-face teaching. In conclusion, shifting to remote teaching appears to be a good and convenient approach during the lockdown period as shown by students’ interest to study anatomy online during the COVID-19 lockdown, their comfortability with the technological skills, and their level of understanding. However, practical classes with cadaver dissection and dealing with different anatomical specimens is essential for veterinary students; therefore, blended learning is recommended.Conclusion: The study highlighted several challenges associated with studying anatomy online during the lockdown period and recommendation to overcome these challenges.