bluuebunny/crossref_metadata_2025 huggingface dataset:
Violência obstétrica: uma análise comparativa do conhecimento de estudantes de medicina e enfermagem
Authors: Tavares Catharina Pessoa Lebre , Nascimento Yasmin de Castro , Nogueira Marina de Pádua , Burgos Ursula Maria
Published: November 2023

O objetivo geral deste estudo é analisar o conhecimento do acadêmico de medicina e enfermagem da Universidade Tiradentes, campus Aracaju, acerca das diversas nuances que compõem a violência obstétrica, a partir do conteúdo adquirido no decorrer da graduação. Trata-se de um estudo quantitativo que se deu por meio de um formulário, aplicado por intermédio do Google Forms, analisados por testes como Qui-Quadrado e Mann-Whitney, e medidas descritivas como mediana, intervalo interquartil, frequência absoluta e percentuais. A mediana do nível de conhecimento dos estudantes de Medicina foi de 6 enquanto para os estudantes de Enfermagem foi de 5, após serem avaliados por meio de pontuação (de 0 a 9) – utilizando questionamentos específicos sobre o tema. Quanto à satisfação do conhecimento adquirido durante a graduação acerca da violência obstétrica: apenas 11,8% dos estudantes de Medicina relataram estar satisfeitos e considerar suficiente seu conhecimento, enquanto 41,7% dos estudantes de Enfermagem tiveram essa percepção. Conclui-se que estudantes de medicina reconhecem mais as práticas que configuram a violência obstétrica e o estudo sugere o reconhecimento de que, mesmo com este resultado, ainda há um longo caminho para que haja melhora na abordagem deste tema durante a graduação.
Elementos Constitutivos de los Juegos de Rol: una revisión sistemática de la literatura
Authors: León Cristo Ernesto Yáñez , Cabobianco Marcos O.
Published: November 2023

Los autores analizan las ideas encontradas en la revisión de la literatura referentes al diseño de experiencias lúdicas, la narratología y los mundos ficcionales dentro del contexto de los Juegos de Rol (JdR). El estudio exploratorio tiene el objetivo de clarificar el estado actual de la conversación académica, sus áreas disciplinarias y los temas comunes implementando un protocolo para la revisión, así como un modelo  Inter-Disciplinario (ID) de colaboración convergente desarrollado por los autores: el Modelo GPE. En primera instancia, procedieron a identificar las dimensiones, características y elementos de la morfología de los JdR.  El segundo paso consistió en ponderar el dialogo entre las narrativas ficcionales, emergentes y experienciales co-creadas en los JdR. Esto último en consonancia con las teorías más amplias sobre ficcionalidad e intertextualidad, así como los avances de las últimas décadas en la teoría de la narratología y el enfoque de la ludología construccionista.
Um estudo da utilização da gestão de custos no suporte ao composto de marketing em empresas varejistas
Authors: Schwans Ari , Kulka Scheila Aparecida , Kulka Marcus Francisco
Published: November 2023

Custos no suporte ao composto de Marketing, traz uma abordagem contemporânea da utilização da gestão de custos nas organizações. O presente artigo trás um estudo da visão que os proprietários e gerentes das empresas do ramo de Vestuário associadas à Associação Comercial e Industrial de Guarapuava – ACIG do município de Guarapuava - Paraná possuem em relação a utilização da ferramenta de gestão “gestão de custos”. A abordagem desse trabalho é em relação a utilização do ferramental de custos quando da aplicação das ferramentas de Marketing, os 4 P’s em sua aplicabilidade nas referidas lojas pesquisadas.
A utilização do gerenciamento de projetos no planejamento estratégico das empresas
Authors: Ferreira Junior Pedro Luiz Batista
Published: November 2023

Este artigo aborda a importância do alinhamento estratégico, em especial no contexto de gerenciamento de projetos, como um elemento vital para o sucesso das organizações modernas. Explora como o alinhamento estratégico é essencial para direcionar a execução da estratégia e a necessidade de sistemas de medição de desempenho em conexão com essa estratégia. Além disso, enfatiza a importância da tipologia de projetos e da seleção das práticas de gerenciamento apropriadas, destacando o papel do portfólio de projetos. O artigo também discute a importância de definir estratégias de projetos claras como meio de alcançar o alinhamento estratégico eficaz.
Exploración del marketing digital y redes sociales en tiendas virtuales de retail
Authors: Uzcátegui-Sánchez Carolina , Zaldumbide-Peralvo David , Leite Emanuel
Published: November 2023

Este artículo aborda la creciente relevancia del marketing digital y las redes sociales en la consolidación y éxito de las tiendas virtuales de retail. Explorando conceptos fundamentales relacionados con el marketing digital y las redes sociales, se destacó cómo estas herramientas han transformado la manera en que las tiendas virtuales interactúan con su audiencia, construyen su imagen de marca y fidelizan a sus clientes. El estudio se basó en un análisis documental exhaustivo, destacando ejemplos y casos prácticos que evidencian el impacto positivo de estas herramientas en tiendas virtuales líderes como Amazon, Zara, Nike, entre otras. Se identificaron estrategias efectivas como SEO, SEM, Social Media Marketing, Email Marketing, Marketing de Contenidos e Influencer Marketing, subrayando la importancia de su adecuada implementación y adaptación a las cambiantes necesidades del mercado. A pesar de las oportunidades que presentan el marketing digital y las redes sociales, se resaltaron desafíos inherentes a su uso, tales como la competencia intensificada, la necesidad de adaptabilidad y la complejidad en su implementación. Sin embargo, se concluyó que, con una correcta adaptación y análisis meticuloso de datos, estas herramientas pueden ofrecer a las tiendas virtuales una ventaja competitiva inigualable en el mercado digital contemporáneo.
Evaluation of physical and mental health status of elderly residents and non-residents in nursing homes of Chaharmahal and Bakhtiari province in 2018
Authors: Karimi Zahra , Seghayat Marjan Sadat , Fatahian Fatemeh , Lotfizadeh Masoud
Published: November 2023

Background and aims: The average age of the population and the number of elderly people have increased with increasing life expectancy. This study aimed to investigate the physical and mental health of the elderly in Chaharmahal and Bakhtiari province, which can provide important evidence for future interventions. Methods: This cross-sectional (descriptive-analytical) study was performed on 345 elderlies in Chaharmahal and Bakhtiari province in 2018. Census methods were used to select the samples according to the type of residence. Statistical analysis was performed using the Statistical Package for Social Sciences (IBM SPSS statistic, Chicago, IL, USA, version 22). Descriptive and analytical tests were performed using Chi-square, independent t-test, and analysis of variance. Results: The mean age of participants and the mean score of their mental health were 71.13 and 55.29±11.57, respectively. Diabetes and hypertension (HTN) (27.8%), followed by skeletal problems (11.3%), were the most frequent disorders in the participants. The findings of the study demonstrated a significant difference between depressive status, as well as anxiety and sleep disorders of the elderly in the home and those kept in the nursing home (P<0.05). Conclusion: Overall, the elderly living in nursing homes had more unfavorable mental, emotional, and physical conditions than the elderly living in the home. Therefore, long-term planning to minimize the problems of elderlies is essential. Lifestyle modifications, health education, and screening for this age group are recommended to maintain independence, especially for the elderly in nursing homes.
The effect of lithium on clozapine-induced neutropenia reduction in refractory schizoaffective disorder
Authors: Rezaei Kheirabadi Mehri , Naderi Fatemeh , Karami Ahmad
Published: November 2023

Resistant schizoaffective disorder has persistent psychotic symptoms and intermittent mood swings. A satisfying method for treating these patients is the use of the antipsychotic drug clozapine, but its use is limited due to significant side effects such as leukopenia and neutropenia. Lithium carbonate is another psychiatric drug that reduces these side effects. We hypothesized that lithium, along with clozapine, in addition to controlling side effects, could have a dual effect on mood episodes in schizoaffective disorder, and used it in a chronic case. The patient was a 48-year-old man with a 20-year history of the disease. Therefore, the use of lithium along with clozapine is recommended in refractory schizoaffective patients.
Empowering Deaf Learners: The Promise of Sign Language MOOCs
Authors: Escudeiro Paula Escudeiro Maria de Sá , Campos Márcia
Published: November 2023

In the realm of education, deaf students face significant communication barriers that limit their integration and success within intellectual communities. Due to the use of distinct mother languages, a communication gap arises between deaf and non-deaf communities. This poses serious difficulties for deaf students, who communicate primarily in sign language and are unable to fluently read materials written in spoken language. As most didactic materials in higher education are available exclusively in spoken languages, this further limits the opportunities and chances for deaf students to succeed. While technological advancements have made it possible to create tools and services that translate between spoken and sign languages, they are often expensive and not widely available in educational settings. The proposal is a pedagogical model that seeks to overcome these obstacles and foster inclusivity by offering deaf students access to educational resources in their mother language – sign language. This is accomplished using Massive Online Open Courses (MOOCs) paired with automatic sign language translation technology. To demonstrate this model's effectiveness, a digital literacy course for schoolteachers was developed and evaluated within a group of users, including deaf students. The paper discusses the state-of-the-art of digital educational content available to the deaf, the process of translating digital learning materials into sign languages, the specifications needed to structure educational content for the deaf, and an example of the development methodology for creating multilingual learning objects for the deaf. The evaluation results indicate that MOOC is inclusive and positively impacts deaf students' learning outcomes. The proposed pedagogical model has significant implications for improving access to education and promoting inclusivity for deaf students worldwide. By utilizing technological advancements and creating inclusive digital educational materials, it is possible to bridge the communication gap between deaf and non-deaf individuals, thereby enabling deaf students to acquire, expand, and improve their knowledge in various subjects.
EKSEKUSI PUTUSAN HAKIM DALAM SENGKETA PERDATA DI PENGADILAN NEGERI SEMARANG
Authors: Rachardiyanto Tony
Published: November 2023

Artikel ini didasarkan pada penelitian yang bertujuan untuk mendeskripsikan pelaksanaan putusan perkara perdata di Pengadilan Negeri Semarang dan kendala-kendalanya. Jenis penelitian ini adalah deskriptif kualitatif. Ditemukan bahwa pelaksanaan putusan perkara perdata di pengadilan Kota Semarang diawali dengan dakwaan atau penyerahan eksekusi oleh pembanding dan diakhiri dengan eksekusi penyitaan. Kendalanya adalah: (1) mahalnya biaya sebagai pedoman Pemohon; (2) kurangnya personel yang berkualitas; dan (3) persaingan atau penolakan terhadap terdakwa. Upaya mengatasi hambatan tersebut adalah: (1) ketua pengadilan negeri mendorong kedua belah pihak untuk berkompromi antara pemrakarsa dakwaan dan lawannya (tertuduh) secara damai; (2) mengirimkan personel pengganti penyitaan dalam memanggil pihak yang berkonflik dan mengusulkan penambahan personel namun belum berhasil; dan (3) petugas penyitaan menginformasikan atau mengirimkan masalah yang belum terselesaikan melalui alat elektronik ke Kota Semarang untuk ditunda pelaksanaannya.
Competencias docentes en la educación inclusiva
Authors: Founes-Méndez Nancy Fabiola , Esteves-Fajardo Zila Isabel , Tamariz-Nunjar Hidelgardo Uclides
Published: November 2023

El estudio denominado "Competencias docentes en la educación inclusiva" tuvo como propósito reflexionar sobre las competencias docentes para la promoción de una educación inclusiva en el entorno escolar. Metodológicamente, se empleó el enfoque cualitativo y el método fenomenológico a partir de las vivencias de 8 docentes pertenecientes a la Escuela Básica República del Ecuador. Entre los resultados emergieron categorías como: Desarrollo de competencias fundamentales para la educación inclusiva; necesidad de empatía y flexibilidad; desafíos y oportunidades en la formación docente; impacto en el aprendizaje de los estudiantes y necesidad de apoyo institucional. Como conclusión, se resalta que el apoyo integral promueve tanto la formación óptima y continua de los estudiantes como el desarrollo profesional de los docentes para mejorar su capacidad de atender la diversidad en el aula y garantizar una educación de calidad y equitativa para todos.
Clima laboral y su influencia en las habilidades de los directivos, Maule, Chile
Authors: Doria-Velarde Adán José , Vivas-Escalante Amely Dolibeth , Neira-Valdivia Felipe Ysaac , Durand-Saavedra Demetrio Pedro
Published: November 2023

El objetivo general de la investigación fue describir el clima laboral y su influencia en las habilidades de los directivos, Maule, Chile. Para llevar a cabo este estudio, se diseñó un enfoque cuantitativo, de tipo descriptivo y correlacional para el cual se seleccionó una muestra representativa de 80 directivos de diversas organizaciones en la región del Maule. Además, se recurrió a la tipología documental-bibliográfica, lo que permite establecer el análisis del objeto de estudio, y describir el tema abordado. Se utilizó un cuestionario previamente validado por 5 expertos. Se concluye que, el estudio proporciona evidencia de la influencia positiva del clima laboral en las habilidades de los directivos en la región del Maule, con un coeficiente de correlación Rho de Spearman de 0,865 y significancia de < 0.05, lo que permite afirmar que un ambiente laboral favorable está asociado con un mayor desarrollo de habilidades de liderazgo y gestión.
Informalidad laboral: Un análisis integral de las causas y factores que perpetúan su existencia
Authors: Arredondo-Lezama Liz Marivel , Villar-Andia Paul , Tasayco-Peñaloza Ana Alica , Castillo-Quintero, Efraín
Published: November 2023

La informalidad laboral se refiere a un fenómeno en el cual los trabajadores se encuentran empleados en actividades económicas que no están reguladas ni protegidas por las leyes laborales y las normativas vigentes, su incremento ha sido notorio desde la llegada de la pandemia, para conocer las causas y factores que lo perpetúan, se ha realizado una revisión sistemática analizando 37 artículos de investigación donde se muestra que una de las causas de la informalidad es el bajo nivel educativo y pocas habilidades. Este estudio sugiere la intervención del ente gubernamental para que incentive la formalización de los emprendimientos.
Prácticas sostenibles y conciencia ambiental: Estrategias para la conservación del medio ambiente
Authors: Ochante-Ramos Rosa Herlinda , Riveros-Davalos Miriam , Mamani-Mercado Never Gustavo
Published: November 2023

Las prácticas sostenibles son acciones que pretenden minimizar el impacto negativo hacia el medio ambiente, la sociedad, economía, promoviendo así la conservación de los recursos naturales y equidad social. Se plantea como pregunta de investigación: ¿Cuáles son las estrategias que impulsan a la sostenibilidad? ¿Cómo podrían aplicarse estas al entorno educativo? Para enfrentar el desafío del cambio climático y promover la participación ciudadana en la protección del medio ambiente, es fundamental implementar una serie de acciones y estrategias. Según la revisión de la literatura realizada, los autores recomiendan: establecer un sistema de tarifa de recolección de residuos, fomentar la conservación de la naturaleza desde casa y en la escuela, realizar evaluaciones iniciales de los desechos generados, organizar actividades de educación y concientización, instalar dispositivos de ahorro de agua y captación de agua, y evaluar el uso de materiales que reduzcan el consumo de papel y otros recursos.
Desempeño laboral y gestión pública: Un análisis predictivo desde la perspectiva de los trabajadores peruanos
Authors: Cuba-Diaz Eber Lionel , Cuba-Díaz Marcelino
Published: November 2023

La gestión pública presenta un impacto directo en la sociedad y bienestar de los ciudadanos, uno de los objetivos que plantea la gestión pública es velar por el buen trato, uso eficiente de los recursos y planificar de manera adecuada los servicios; bajo este contexto, este estudio plantea como objetivo analizar si el desempeño laboral predice la efectividad en la gestión pública, para tal efecto se sometió a estudio a la percepción de 427 trabajadores encontrando que el desempeño laboral predice la gestión pública. Por tal motivo, es importante que se tomen acciones necesarias para fomentar un ambiente laboral que valore y promueva la excelencia en el desempeño.
Gestión ambiental municipal, ocupación territorial y percepción del buen vivir, Ayacucho, Perú
Authors: Cuba-Díaz Marcelino , Cuba-Diaz Eber Lionel , Tasayco-Peñaloza Ana Alicia
Published: November 2023

El acceso a los recursos naturales, espacios públicos y biodiversidad son temas que siguen siendo objeto de estudio, lograr la armonía entre los tres no es una tarea fácil, y es justamente allí donde intervienen las autoridades gubernamentales; de esta manera, se planteó como objetivo de estudio evaluar la relación entre la gestión ambiental municipal, ocupación territorial y percepción del buen vivir en los pobladores de Ayacucho. El estudio es no experimental, de corte transversal y de alcance correlacional. A partir de estos hallazgos, se recomienda que la municipalidad establezca políticas y programas específicos para la gestión adecuada de residuos, monitoreando y evaluando de manera regular los resultados de la gestión ambiental municipal, así como la ocupación territorial.
Engagement ocupacional y el éxito docente
Authors: Cárdenas-Rosales Eva Elvira , Sosa-Aparicio Luis Alberto , Gómez-Bedia Karla Katiuska , Temoche Guevara Cecilia
Published: November 2023

Se tiene por objetivo analizar el engagement ocupacional y el éxito docente desde un análisis documental. Se realizó una revisión bibliográfica de tipo descriptivo como fuentes primarias de la información acerca de la variable motivación laboral; contándose con una población de 18 artículos relacionados al tema investigado. Las personas con alto grado de motivación desarrollan sentido de pertenencia con la organización donde laboran, efectúan sus funciones con responsabilidad y autonomía. Se resalta la existencia de factores extrínsecos relacionados al entorno del trabajador donde la precariedad de estos puede generar cierto grado de insatisfacción o desmotivación y la atención de estos factores genera mayor grado de satisfacción, haciendo una similitud con la teoría bifactorial en lo que se refiere a factores higiénicos.
Educación remota y liderazgo educativo. Una experiencia postpandemia COVID-19
Authors: De-La-Cruz-Castro Bertha Esteria , Carbonell-García Carbonell-García , Ruiz-Gómez Andrés Alberto , Temoche-Guevara Cecilia
Published: November 2023

El objetivo es analizar la educación remota y liderazgo educativo en postpandemia COVID-19. Se realizó una investigación de tipo descriptiva documental; para tal fin, se realizó una revisión bibliográfica de 15 articulos científicos. Siendo importante tener en cuenta que es necesario ofrecer un modelo para mejorar las habilidades de liderazgo en entornos rurales y remotos mediante la incorporación de múltiples enfoques de enseñanza y la consideración de las normas culturales locales, por lo tanto; un liderazgo construido por la relación de pares para fortalecer el trabajo pedagógico con énfasis en la acción comunitaria, desde esta óptica se proyecta un líder que va más allá de las aulas de clases en su accionar profesional, contribuyendo a promover la creatividad, es un reto del liderazgo pedagógico como parte de incentivar la participación estudiantil.
Perfil de egreso desde la percepción de los padres de familia
Authors: Durand-Arteaga Raúl Alberto , Sosa-Aparicio Luis Alberto , Ruiz-Gómez Andrés Alberto , Millones-Alba Erica Lucy
Published: November 2023

Se tiene por objetivo analizar el perfil de egreso desde la percepción de los padres de familia. La investigación se basó en un tipo descriptiva documental con diseño bibliográfico de 18 artículos científicos. Una tarea clave en la educación básica es que tiene que haber una correcta relación de los aprendizajes con las necesidades y demandas del entorno socioeconómico y productivo, es necesario integrar dentro de las actividades escolares situaciones reales de trabajo, es necesario desarrollar destrezas significativas útiles para el desempeño productivo en vez de trasmitir conocimientos netamente teóricos. En ese contexto el enfoque por competencias es clave para el desarrollo integral de los estudiantes. Es indispensable que el estudiante aprenda  haciendo, que deje de ser un teórico y pueda aplicar lo que aprende en su vida cotidiana
Resiliencia como eje motivador en la docencia
Authors: Gomero-Cardenas Neyda Magaly , Gómez-Bedia Karla Katiuska , Ruiz-Gómez Andrés Alberto , Temoche-Guevara Cecilia
Published: November 2023

El objetivo de la investigación es analizar la resiliencia como eje motivador en la docencia. Es un estudio de tipo documental con diseño bibliográfico, se empleó la revisión de 22 artículos científicos ubicados en: PubMed, Scopus, WOS, Scielo. La resiliencia se presenta cuando el personal docente se adapta a diversas situaciones desfavorables presentadas en la escuela, al hacer uso de características personales que le permiten convertir las limitaciones en fortalezas y así superar las adversidades. Es necesario que los docentes fortalezcan su propia competencia docente y su resiliencia antes de impartir enseñanza en línea. Las estrategias que sirven para la mejora de la resiliencia derivan de lo psicológico, pedagógico y lingüístico-sociológico. Los docentes de las escuelas públicas, encuentran en sus aulas estudiantes de entornos vulnerables, haciendo necesario que evidencie una serie de habilidades personales y contextuales que les permitan enfrentar los distintos problemas que pudieran suscitarse en su quehacer laboral.
Actitudes emprendedoras de los profesionales de Educación Física en tiempos de pandemia
Authors: Lu-Saavedra Jorge-Martín , Sosa-Aparicio Luis Alberto , Ruiz-Gómez Andrés Alberto , Temoche-Guevara Cecilia
Published: November 2023

Se tiene por objetivo analizar las actitudes emprendedoras de los profesionales de educación física en tiempos de pandemia COVID-19. Se realizó una investigación de tipo documental descriptiva con diseño bibliográfico, en una población de 23 articulos científicos, seleccionados en relación con la variable emprendimiento en profesionales de educación física como punto inicial de revisión, en segundo lugar, a factores intervinientes en cuanto al emprendimiento como elemento empresarial. Los profesionales del área de educación física, por la mayoría de los colegas trabajadores eran considerados como las personas que carecían de actitud para proponer y que solo se limitaban a desarrollar acciones físico -- deportivas – recreativas; y que, aunque no parezca incidió en los profesionales que incluso limitaban su participación en el desarrollo de las labores en las instituciones educativas; bloqueando totalmente toda actitud de emprendimiento.
Liderazgo pedagógico emprendedor de los directores de educación primaria multigrado y unidocente
Authors: Olivares-Sánchez Rosa Francisca , Millones-Alba Erica Lucy , Temoche-Guevara Cecilia , Ruiz-Gómez Tania
Published: November 2023

Se tiene por objetivo analizar el liderazgo pedagógico emprendedor de los directores de educación primaria multigrado y unidocente. Se trabajó con un tipo de investigación documental con diseño bibliográfico, en 14 articulos científicos ubicados en base de datos: PubMed, Scielo, Redalyc, Scopus, Latindex 2.0. El liderazgo del director es importante en las instituciones educativas, ya que sus acciones pueden facilitar la mejora de los aprendizajes, los cuales pueden ser optimizados mediante el uso de diversas estrategias y modificar el día a día del trabajo de los docentes en las instituciones educativas. El liderazgo es una capacidad que puede desarrollarse, y es una ascesis donde recíprocamente los líderes y los seguidores emprenden conscientemente una consigna con la finalidad de establecer metas en conjunto para el beneficio de todos y para satisfacción de las necesidades del grupo social.
Valorización de residuos sólidos generados en las municipalidades locales: Revisión sistemática
Authors: Paredes-Ballena Janet , Valiente-Saldaña Yoni Mateo , Diaz-Valiente Frank Alexander
Published: November 2023

Se planteó como objetivo revisar diferentes artículos científicos en materia de valorización de residuos sólidos generados en el distrito de El Porvenir Trujillo Perú, publicados en bibliotecas web e indexadas, en revistas que se encuentren acreditadas entre los periodos fiscales 2018-2022. Corresponde a un estudio descriptivo documental. Los resultados permiten comprender propuestas de enfoque innovador, técnico y sistemático, así como modelos conceptuales de reciclaje de residuos que se están implementando en el sector municipal, social y educativo, con el objetivo de estimular iniciativas para promover el compostaje y lo que pueden hacer los materiales orgánicos. por la sostenibilidad ecológica del desarrollo humano.
Transformación digital y su impacto en la gestión empresarial de empresas consultoras de talento humano
Authors: Méndez-Gutiérrez Xiomara Milagritos , Valiente-Saldaña Yoni Mateo , Mantilla-Sevillano Jorge Edwin , Gonzales-Rentería Yuri Gagarín
Published: November 2023

Se planteó como objetivo general determinar el impacto de la transformación digital en la gestión empresarial de las empresas consultoras de talento humano, Trujillo – Perú. Corresponde a un estudio descriptivo correlacional, la población está compuesta por 117 firmas de servicios profesionales. Se ha determinado que existe impacto significativo entre la transformación digital y gestión empresarial de las empresas consultoras de talento humano de Trujillo, mediante la prueba estadística coeficiente de Spearman de 0,786 a un nivel de significancia del 5%; con un p=0.000. Se ha determinado que el 37.50% los trabajadores de las empresas consultoras de talento humano de Trujillo tienen regular nivel de comunicación interna y satisfacción laboral; el 34.38% es bueno en el nivel de comunicación interna y alto en el nivel de satisfacción laboral; el 18.75% es regular en el nivel de comunicación interna y alto en el nivel de satisfacción laboral
Pengaruh E-Wom, Persepsi Harga dan Kualitas Produk Terhadap Keputusan Pembelian
Authors: Ariwangsa I G.N. Oka , Lasmi Ni Wayan , Darma I Made Riski Aditya
Published: November 2023

This study aims to determine the effect of electronic word of mouth, price perceptions, product quality partially and simultaneously on purchasing decisions. The sample in this study were 110 people. Data anal ysis techniques using validity test, reliability test, classic assumption test, multiple linear regression analysis, coefficient of deattermination test, F test and t test. From the research results, it was found that electronic word of mouth had a signifi cant positive effect on purchasing decisions, price perceptions had a significant positive effect on purchasing decisions, product quality had a significant positive effect on purchasing decisions and electronic word of mouth, perceived price and product quality had a significant effect on purchasing decisions. The magnitude of the influence of independent variables simultaneously on purchasing decisions is 63.5%, based on the measurement of the coefficient of determination

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Implementasi Digital Payment Di Lingkungan Universitas Labuhanbatu Dan Dampaknya Pada Keputusan Pengguna
Authors: Maysari Nurriski , Pristiyono Pristiyono , Nasution Meisa Fitri
Published: November 2023

The purpose of this research is to be able to provide relevant information to stakeholders related to digital payments. The research design prioritizes collaborative descriptive research with a quantitative approach with primary data collection techniques as the main research data which contains various questions in a questionnaire arranged in a Google form that is distributed to all active students within the Labuhanbatu University campus, with as many as 150 samples. Data analysis techniques in solving problems with the Smart PLS v.4.0 application to predict the model tested in the study. Based on the results of the research hypothesis test, among others, that the consumer motivation variable has not succeeded in becoming one of the factors that determine the occurrence of digital payment user decisions within the Labuhanbatu University academic community, the consumer perception variable becomes the second hypothesis which does not significantly affect digital payment user decisions within the University academic community. Labuhanbatu. This means that of the entire hypothesis, only the third hypothesis, namely the consumer behavior variable, has a strong and significant influence on digital payment user decisions in the academic community at Labuhanbatu University
Peranan Emas Dan Crypto Hedge Fund Dalam Meningkatkan Kinerja Indeks Portofolio Indeks Saham LQ45, JII, High Dividend, Dan Sri-Kehati
Authors: Bowa Jenifer Christiani , Robiyanto Robiyanto
Published: November 2023

This research was conducted to determine the role of gold and crypto hedge funds in improving the performance of stock index portfolios. The stock index portfolio used consists of the LQ45, JII, High Dividend, and SRI-KEHATI indices. The purpose of this study is to analyze the role of gold and crypto hedge funds in improving the performance of stock index portfolios for the 2019-2021 period rather than investing in portfolios made up of stock indexes only. This study uses the Naive method and measures portfolio performance based on the Sharpe Index, Treynor Index, Jensen Index, Sortino Ratio, and Omega Ratio. This study concludes that the formation of a portfolio with the role of gold and crypto hedge funds can improve the performance of stock indexes using the calculation results of the Naive Diversification model in the period January 1 2019 to December 30 2021. In general it is found that portfolios formed with gold and crypto hedge funds as value better hedged than a portfolio formed without a hedge
Reconceptualizing the Prognostics Digital Twin for Smart Manufacturing with Data-Driven Evolutionary Models and Adaptive Uncertainty Quantification
Authors: Murray Jack , Chamberlain Brandon , Hemleben Nicholas , Ospina-Acero Daniel , Nayak Indranil , VanFossen Andrew , Zahiri Frank , Kumar Mrinal
Published: November 2023

This work presents an integrated architecture for a prognostic digital twin for smart manufacturing subsystems. The specific case of cutting tool wear (flank wear) in a CNC machine is considered, using benchmark data sets provided by the Prognostics and Health Management (PHM) Society. This paper emphasizes the role of robust uncertainty quantification, especially in the presence of data-driven black- and gray-box dynamic models. A surrogate dynamic model is constructed to track the evolution of flank wear using a reduced set of features extracted from multi-modal sensor time series data. The digital twin's uncertainty quantification engine integrates with this dynamic model along with a machine emulator that is tasked with generating future operating scenarios for the machine. The surrogate dynamic model and emulator are combined in a closed-loop architecture with an adaptive Monte Carlo uncertainty forecasting framework that allows prediction of quantities of interest critical to prognostics within user-prescribed bounds. Numerical results using the PHM dataset are shown illustrating how the adaptive uncertainty forecasting tools deliver a trustworthy forecast by maintaining predictive error within the prescribed tolerance.
Process for Turboshaft Engine Performance Trending
Authors: Bechhoefer Eric , Hajimohammadali Mina
Published: November 2023

Turboshaft engines are ubiquitous in aerospace applications where high power and reliability are needed in a low-weight package. Most all helicopters incorporate turboshaft engines. All turboshaft-equipped aircraft have power assurance checks to ensure the engine can achieve the minimum specification for power. However, these checks seldom are automatically collected, nor do they trend the engine health over time to better assess vehicle health. Engines degrade over time, and the ability to assess when maintenance is required is accentual for the safe and efficient operation of the aircraft. This paper covers a process to evaluate a turboshaft engine's state of health using a model-based assessment of the engine’s performance margin over time.
Fusion and Comparison of Prognostic Models for Remaining Useful Life of Aircraft systems
Authors: Fu Shuai , P. Avdelidis Nicolas , Plastropoulos Angelos , Fan Ip-Shing
Published: November 2023

Changes in the performance of an aircraft system will straightforwardly affect the safe operation of the aircraft, and the technical requirements of Prognostics and Health Management (PHM) are highly relevant. Remaining Useful Life (RUL) prediction, part of the core technologies of PHM, is a cutting-edge innovation being worked on lately and an effective means to advance the change of upkeep support mode and work on the framework's security, unwavering quality, and economic reasonableness. This paper summarizes a detailed preliminary literature review and comparison of different prognostic approaches and the forecasting methods' taxonomy, the methodology's details, and provides its application to aircraft systems. It also provides a brief introduction to the predictive maintenance concept and condition-based maintenance (CBM). This article uses several predictive models to predict RUL and classifies conventional regression algorithms according to the similarity in function and form of the algorithms. More classical algorithms in each category are selected to compare the prediction results, and finally, the combined effects of the RUL prediction are obtained by weighted fusion, accuracy, and compatibility. The performance of the proposed models is assessed based on evaluations of RUL acquired from the hybrid and individual predictive models. This correlation depends on the most current prognostic metrics. The outcomes show that the proposed strategy develops precision, robustness, and adaptability. Hence, the work in this paper shall enrich the advancement of predictive maintenance and modern innovation of prognostic development.
Explainable Prognostics Method through Differential Evolved RVR Ensemble of Relevance Vector Machines
Authors: Alamaniotis Miltiadis
Published: November 2023

Operating experience from various mechanical components indicates that their operating performance depends on non-well known physical mechanisms, while it is likely that  various unexpected factors will act as catalysts for reaching the failure point. Therefore, one way to overcome the partially knowledge of physical mechanisms is the use of data-driven methods that estimate the degradation patterns and predict the failure point. Thus, there is a growing need to design and develop new and more sophisticated prognostic technologies that can estimate the remaining useful life of a mechanical component. In this work, a new method for prognostics is proposed that not only provides a prediction over the failure point but also provides an explanation over the rationale behind that prediction. The proposed method utilized tools from artificial intelligence and more specifically relevance vector machines (RVM) and differential evolution (DE). The cornerstone of the method is the assembly of an ensemble comprised of multiple RVM equipped with different kernels, and the subsequent evolution of the ensemble using the differential evolution. DE will provide a set of values for the coefficients of the ensemble. Then based on the coefficients together with their associated RVMs are used to provide an explanation over the prediction. The explanation stems from the kernels themselves as each kernel models different set of properties. The presented method is tested on a set of real-world degradation data taken from a Gas Turbine (GT) propulsion plant.
Cooling Fan Failure Modes to Enable Development of Automotive ECU Fan Health Monitoring System
Authors: Banimilhim Alaeddin , Del Gatto Jacqueline , Sadjadi Hossein
Published: November 2023

Electronic control units (ECUs) are widely used in the automotive industry. Recent efforts to enable enhanced and automated driving requires these ECUs to process and execute computationally expensive algorithms. With these developments, the ECUs now have a higher computing power and thus are at a greater risk of overheating. This may limit the availability of the essential functionalities in the vehicle. Currently, high operating temperatures are mitigated using passive cooling, which allows heat to dissipate without expelling any energy; however, more robust methods are required to enable this new technology. A cooling fan system is one of the desired methods for ECU thermal management, as this type of system draws cooler air from outside and expels the warm air from within. Therefore, the fan health status is critical to ensure ECU availability and reliability for vehicle operation, as when the fans become degraded, they cannot maintain the required airflow to minimize the ECU operating temperature. Traditionally, fan failures are detected by monitoring the fan speed versus the commanded duty cycle, thus it is desired to develop a robust health monitoring method for the fans. Fan failure mode study and fault injection can be used to enable the development of prognostics. Investigating the fan failure modes results in two main categories, which are internal and external. External fan failures include degradation and cracking of the outer casing, while internal failures include motor and ball bearing issues. Fault injection methods were developed based on these failure modes while considering potential operating conditions. For example, the fans were exposed to multiple environmental conditions, such as dust, humidity, and heat. These conditions can potentially trigger both internal and external failures. The data collection was conducted with the fans running in a standalone setup, being controlled by external equipment to ensure that the electronic input values were known. After running tests for 30 days, sufficient data was collected to enable degradation modelling. The data will contribute to the development of a predictive algorithm which will estimate the state of health of the fan based on its performance over time. This paper will discuss the failure modes and the data generated through simulation and fault injection.
Using Charge Determination Design of Experiments to Develop A Refrigerant Charge Health Status Model for Heat Pump Systems
Authors: Wong Hong , Ramadhan Hadyan , Bani Milhim Alaeddin , Sadjadi Hossein
Published: November 2023

Refrigerant based heat pump systems are becoming an integral system in electric vehicle architectures due to their high efficiencies in providing heating and cooling to people and components within the car.  An important component in heat pump systems that determines optimal efficiency is the amount of refrigerant.  As such, the capability to model refrigerant charge helps quantify the health status of the heat pump system, whereby the lack or over abundance of refrigerant in a heat pump refrigerant system leads to various other component failures, e.g., liquid slugging, compressor overheating, material fatigue in heat exchanger, and degraded/stuck expansion valves.  In designing a heat pump system, engineers need to perform a set of design of experiments to determine an optimal refrigerant charge based on a set of performance metrics in the presence of certain noise factors.  This optimal refrigerant charge provides conditions where the heat pump system operates efficiently in both heating and cooling, in addition to facilitating operational conditions that will not lead to secondary component degradation or damage.  The search for optimal refrigerant charge is classified as refrigerant charge determination, whereby engineers incrementally increase the refrigerant in the heat pump system in operation of heating/cooling and collect data about performance metrics.  Some of the key performance metrics used to determine efficiency of a heat pump system include i) compressor inlet superheat temperature, ii) condenser outlet subcool temperature, iii) compressor high side pressure, iv) compressor low side pressure, v) condenser outlet pressure, and vi) condenser quality estimate.  Furthermore, this process follows design of experiments concepts and is performed for both heating and cooling modes of operation. In this paper, we leverage refrigerant charge determination as a training data source to develop refrigerant charge models, where several performance metrics are health indicators used as model inputs and the amount of refrigerant added to the heat pump system are ground truth refrigerant charges used as model outputs.  In this paper we develop regression models to  estimate the total refrigerant charge, which is used to classify different health states of refrigerant based on levels of performance degradation corresponding to specific refrigerant charge thresholds.  We trained a robust linear regression model using this charge determination data and found that the worst case estimation error was less than 10% with respect to the refrigerant charge grouth truth.
Parameters identification of the satellite attitude control system with large inertia rotating components
Authors: Chen Xueqin , Yang Boyu , Wu Fan , Wang Hongxu , Ma Qihan , Yue Chengfei
Published: November 2023

This paper investigates the unbalance parameter identification of the large inertia rotating component of satellite. Firstly, the dynamics model with unbalance parameter of the large inertia rotating component is established. Then, based on the principle of parameter separation and decoupling, a modified two-stage exogenous Kalman filter (TSXKF) algorithm is proposed. This method works directly on nonlinear system, estimates the centroid position, the centroid velocity, attitude angular, attitude angular velocity, and identifies the nonlinear unknown static unbalance parameter, which is the centroid offset. Finally, the simulation results verify the effectiveness of the method.
Increasing Robustness of Data-Driven Fault Diagnostics with Knowledge Graphs
Authors: Radtke Maximilian-Peter , Huber Marco , Bock Jürgen
Published: November 2023

In the realm of PHM, it is common to possess not only process data but also domain knowledge, which, if integrated into data-driven algorithms, can aid in solving specific tasks.This paper explores the integration of knowledge graphs (KGs) into deep learning models to develop a more resilient approach capable of handling domain shifts, such as variations in machine operation conditions.We present and assess a KG-enhanced deep learning approach in a representative PHM use case, demonstrating its effectiveness by incorporating domain-invariant knowledge through the KG.Furthermore, we provide guidance for constructing a comprehensive hierarchical KG representation that preserves semantic information while facilitating numerical representation.The experimental results showcase the improved performance and domain shift robustness of the KG-enhanced approach in fault diagnostics.
An Introductory Approach to Time-Series Data Preparation and Analysis
Authors: Baumann Edward , Hsu Charles , Buba Hayley , Cox Taylor
Published: November 2023

Machine learning (ML)/Artificial Intelligence (AI) has widespread applications and has revolutionized many industries due to advanced and matured sensor technology, as well as large-scale data collection efforts. One of the key tasks for effective ML/AI operations is the extraction and identification of useful and usable data to identify complex interrelationships and solve problems efficiently. The usefulness of the data is the value and meaning of the data within the desired model, while the usability of the data refers to the ease of use of data in a model. Complex supervised and unsupervised ML models, which used to be the domain of cutting-edge scientists and academics, can now be invoked as a basic function calls in public domain packages within Python, R, MATLAB, and other languages. While these functions require effective data preprocessing to overcome the unpredicted impacts of data quality in the real world (e.g. missing data, environmental noise, synchronizing at different sampling rates, etc.), their ease of use means they are often called with little to no understanding of the underlying math or ways to efficiently work through the data set. The approachability provided by the packages enables users to dive into complex problem sets with little advance preparation. However, in doing so there is a lack of understanding which will inevitably cause problems, skew results, or force the user to take a less efficient path to get to a similar answer. Each package provides relatively simple examples that deal with specific public data sets, yet not many provide the background knowledge and comprehensive methods required for building the inputs for extensive and effective time-series data modeling. Typically, the complex nature of time-series data requires an in-depth understanding of signals analysis and domain subject expertise to use in ML/AI predictive models. This paper will provide the reader an overview of the problems associated with time-series data modelling, propose a common set of preprocessing steps to follow, demonstrate a taxonomy classification for time series data, provide introductory reasoning regarding the underlying process, and discuss the models that would benefit from such a methodology. This is done here with the goal of equipping non-knowledge-domain experts with updated and approachable techniques to find which features to focus on while preprocessing for their time-series data preparation efforts.
Data Augmentation of Sensor Time Series using Time-varying Autoregressive Processes
Authors: Baptista de Souza Douglas , Paes Leao Bruno
Published: November 2023

This work presents a novel data-centric solution for fault diagnostics and failure prognostics consisting of a data-augmentation method which is well suited for non-stationary mutivariate time-series data. The method, based on time-varying autoregressive processes, can be employed to extract key information from a limited number of samples and generate new artificial samples in a way that benefits the development of diagnostics and prognostics solutions. The proposed approach is tested based on three real-world datasets associated with failure diagnostics problems using two types of machine learning methods. Results indicate the proposed method improves performance in all tested cases.