bluuebunny/crossref_metadata_2025 huggingface dataset:
Lecturer Performance: The Influence of Transformational Leadership Style, Work Environment, Compensation, and Institutional Transformation
Authors:   Department of Management, Faculty of Economics and Business, Institut Teknologi dan Sains Mandala, Jember, Indonesia., Purnamasari Ratih , Handayani Yuniorita Indah ,   Department of Management, Faculty of Economics and Business, Institut Teknologi dan Sains Mandala, Jember, Indonesia, Kusuma Dedy Wijaya ,   Department of Management, Faculty of Economics and Business, Institut Teknologi dan Sains Mandala, Jember, Indonesia
Published: November 2024

This study aims to test and analyze the influence of transformational leadership style, work environment, compensation, and institutional transformation on the performance of lecturers at the Mandala Institute of Technology and Science. This study uses a quantitative approach. Data analysis uses descriptive statistical analysis and inferential statistical analysis that describes a certain characteristic or feature of a phenomenon that occurs and makes conclusions or generalizations about the population based on sample data. The sample used was 48 lecturers at the Mandala Institute of Technology and Science. The results of the study indicate that compensation affects lecturer performance, while transformational leadership style, work environment, and institutional transformation do not affect lecturer performance. The implications of this study indicate that increasing compensation can significantly improve lecturer performance at the Mandala Institute of Technology and Science, so it is important for institutions to focus on fairer and more adequate compensation policies. Conversely, improvements in transformational leadership style, work environment, and institutional transformation need to be adjusted to the specific context and needs of lecturers in order to have a more significant impact on performance.
Pengaruh Kompetensi Dan Motivasi Kerja Terhadap Kinerja Dengan Kepuasan Kerja Karyawan Sebagai Variabel Intervening Pada Encar Daihatsu Palembang
Authors: Desy Afriliani  , Manisah  , Sari Sakarina
Published: November 2024

This study aims to determine the Influence of Competence and Work Motivation on Performance with Employee Job Satisfaction as an Intervening Variable at Encar Daihatsu Palembang. The population of this study was 43 people. Data analysis used in this study is the Structural Equation Model (SEM) analysis method operated through the Partial Least Square (PLS) program. The results of the study indicate that there is an Influence of Competence and Work Motivation on Performance with Employee Job Satisfaction as an Intervening Variable at Encar Daihatsu Palembang with the equation Y = 0.753x_1 + 0.468x_2 + ε_1 and the equation Z = 0.156x_1 + 0.260x_2 + 0.144Y + ε_2 there is an influence of competence on job satisfaction indicated by the equation of p-values ​​of 0.000 <0.05 and t-statistics of 4.973> 1.960, competence has a significant effect on performance indicated by p-values ​​of 0.060> 0.05 and t-statistics of 1.884 <1.960, Motivation has an effect on Employee Performance indicated by p-values ​​of 0.053> 0.05 and t-statistics of 1.941 <1.960, 1.960, job satisfaction has an effect on Employee Performance indicated by p-values ​​of 0.000 <0.05 and t-statistics of 6.264> 1.960. The R2 value for the latent variable Job Satisfaction as a mediating variable is 0.177, which means that the value identifies that the variation in Employee Job Satisfaction can be explained by exogenous latent variables (Competence and Motivation) of 17.7% while the remaining 82.3% is explained by other variables and the R2 value for the latent variable performance is 0.218, which means that the value identifies that the variation in performance can be explained by exogenous variables of 21.8% while the remaining 78.2% is explained by variables not included in the study. From the model built in this study, and from the results of the hypothesis test using Smart-PLS, it can be suggested that every employee and assisted by the company should always improve their competence so that their ability to complete work can be further improved. Improving employee job satisfaction should be a concern for the company, because it will affect the level of performance produced. Good work motivation should always be possessed by employees so that they can be a driver to achieve the best results
¿Qué podemos aprender de la enseñanza magistral? Una contribución a la investigación de la actividad matemática escolar
Authors: Radford Luis , Meza Alonso Benjamín Quiroz , Silva Maritza
Published: November 2024

Este artículo busca arrojar luces sobre el aula de matemáticas mediante una investigación de la actividad matemática que allí ocurre. Dicha investigación está lejos de ser evidente, precisamente por la complejidad que presenta dicha actividad; complejidad que se manifiesta, por ejemplo, en los posicionamientos que adoptan tanto estudiantes como profesores en el aula, así como en las concepciones subyacentes sobre el saber matemático y su aprendizaje. La investigación presentada se apoya en la teoría de la objetivación. En esta teoría, la actividad matemática en el aula se caracteriza a través de dos componentes organizadores interrelacionados: a) la forma en que las ideas matemáticas se producen y se ponen en circulación en el aula, y b) el tipo de interacción que se da entre estudiantes y profesores. La investigación estudia uno de los tipos de actividad matemática escolar más populares en la práctica educativa: la lección magistral. Para ello, se recurre a un estudio de caso basado en una lección de una escuela secundaria chilena. El análisis revela una serie de dispositivos sutiles, tanto discursivos como no discursivos, a los que recurren el profesor y los estudiantes para posicionarse mutuamente y asegurar formas específicas de circulación de ideas en el aula.
Da formação à pesquisa sobre professores que ensinam Matemática: contribuições da Teoria da Objetivação para a compreensão do desenvolvimento do pensamento algébrico
Authors: Romeiro Iraji de Oliveira , Moretti Vanessa Dias , Radford Luis
Published: November 2024

Este trabalho visa abordar as contribuições da Teoria da Objetivação para a formação de professores que ensinam matemática nos anos iniciais, a partir de  um recorte de uma pesquisa de doutorado desenvolvida no contexto de uma pesquisa coletiva sobre a formação continuada de professores que ensinam matemática que teve como objetivo identificar as formas de generalização manifestadas por professores dos anos iniciais do Ensino Fundamental ao resolverem tarefas envolvendo o conhecimento algébrico. Na primeira parte do texto retratamos a Teoria da Objetivação como base teórica para a pesquisa e suas contribuições para o desenho da atividade de formação de professores aos professores. Na segunda parte, o texto envolve a Teoria da Objetivação como base metodológica da pesquisa tanto na coleta como na análise de dados. A análise multimodal da TO se mostrou potencial para revelar as formas de generalização características do movimento de pensar algebricamente dos professores. Como resultado, a Teoria da Objetivação parece ser uma teoria com potencial para investigar a formação de professores. Oferece ideias para a desenho de tarefas matemáticas e para a organização do espaço formativo em que professores e formadores/investigadores se envolvem juntos em atividade, no labor conjunto, num processo dialógico e criativo de produção de ideias e contradições, do qual emerge uma forma incorporada e sensível de pensar algebricamente em relação dialética com a cultura e a história.
Las repercusiones de las formas de colaboración humana no alienantes en la emergencia del pensamiento proporcional
Authors: Vergel Rodolfo , León Rafael Moreno
Published: November 2024

El objetivo de este artículo es mostrar las repercusiones de las formas de colaboración humana no alienantes en la emergencia del pensamiento proporcional. El estudio se aborda desde la Teoría de la objetivación, adoptando una perspectiva multimodal de la cognición humana. Se trabaja con dos grupos de estudiantes de quinto de primaria (10-11 años), analizando su actividad matemática en clase a través de dos tareas sobre proporcionalidad directa. El análisis de datos, basado en dos episodios de clase, se fundamenta en el método dialéctico, que considera los fenómenos deben ser estudiados como procesos en constante movimiento y cambio. Los resultados indican, por un lado, la emergencia de dos tipos de trabajo grupal: uno de tipo individualista y otro que empieza a dar signos de una actividad como labor conjunta; y, de otra parte, que las formas de cooperación humana en el segundo tipo de trabajo grupal repercuten en la emergencia de este tipo de pensamiento caracterizado por una relación de proporcionalidad expresada en la regla de conformación de una serie una de parejas ordenadas.
O papel da Teoria da Objetivação na estruturação de uma investigação histórica em torno da obra Ex Ludis Rerum Mathematicarum
Authors: Nascimento Valdenize Lopes do , Morey Bernadete Barbosa , Radford Luis
Published: November 2024

O objetivo do artigo é discutir o papel da Teoria da Objetivação na estruturação de uma investigação histórica em torno da obra Ex Ludis Rerum Mathematicarum, escrita pelo italiano Leon Battista Alberti em 1450. Usando a Teoria da Objetivação como quadro teórico e conceitual, o objetivo geral da pesquisa foi analisar o modo pelo qual a dialética entre a obra Ex Ludis Rerum Mathematicarum e o contexto social, histórico e cultural de sua produção é colocada em funcionamento, isto é, analisar o modo pelo qual a obra matemática emerge e, ao mesmo tempo, reproduz e afirma ideologicamente o contexto social, histórico e cultural de sua produção. Para tanto, são destacados os conceitos e pressupostos dessa teoria utilizados na definição dos elementos estruturantes da investigação: problema de pesquisa, objeto de estudo, questão de pesquisa, objetivo geral e tese defendida.
Influence Of Organizational Climate, Engagement, And Commitment On Performance With Leadership As Moderation Variables
Authors: Noorfallah Hiysman , Mutmainah Isbandriyati , Rumna Rumna
Published: November 2024

The purpose of the study is to determine the Organizational Climate, Engagement, and Commitment simultaneously on Performance with Leadership as a Moderation Variable (Empirical Study on ASN Directorate General of Regional Development, Ministry of Home Affairs). This study uses a type of causal associative research with a quantitative approach. The population in this case is all SUPD III employees and the total sample used is 67 respondents with a sampling technique using the Krecjie Table. Data collection was carried out by distributing questionnaires with data analysis using validity test, reliability test, normality test, multicollinearity test, heteroscedasticity test, autocorrelation test, multiple linear regression analysis, moderation regression analysis, determination test, t test and f test. Based on the results of the T test, it is known that each independent variable of Organizational Climate, Engagement , and Commitment has an effect on Performance. In the Coefficient of Determination (R2) test, it can be seen that the Adjusted R Square value obtained is 0.580 (58%). This shows that the independent variables of Organizational Climate, Engagement, and Commitment have a strong ability to explain the bound variables (Perfromance) in this case learning. The remaining 42% was influenced by other factors that could not be explained in this study.
 
Keywords: Organizational Climate, Engagement, Commitment, Performance, Leadership.
Gobierno o Colapso: Fortalezas y Debilidades del Parlamentarismo y el Presidencialismo en la Estabilidad Democrática
Authors: Pino Uribe Juan Federico
Published: November 2024

El debate sobre el impacto de los sistemas presidencialistas y parlamentarios en la estabilidad o consolidación de los regímenes democráticos ha sido central en la Ciencia Política contemporánea. Este artículo ofrece una revisión crítica de una parte clave de esta discusión, enfocándose en la argumentación de Juan Linz, quien sostiene que los sistemas presidencialistas tienden a generar mayor inestabilidad democrática debido a las tensiones entre el ejecutivo y el legislativo. A partir de una revisión exhaustiva de la literatura clásica y actual, se concluye que, si bien la afirmación de Linz es válida desde un enfoque teórico comparativo de los sistemas, la variabilidad empírica dentro de los mismos revela que ciertos regímenes presidencialistas y parlamentarios poseen mecanismos institucionales más robustos para gestionar los conflictos entre poderes, lo que puede prevenir la inestabilidad democrática en contextos específicos.
Factores que limitan la permanencia de los estudiantes en el 3ª Ciclo de la educación obligatoria, perteneciente al sector privado subvencionado. Colegio Virgen de Fátima, de la ciudad de Pilar, año 2024
Authors: Gómez Cáceres Ramona Elizabeth
Published: November 2024

La presente investigación se centra en analizar los factores que limitan la permanencia de los estudiantes en el 3º ciclo de la educación obligatoria en el Colegio Virgen de Fátima, ubicado en la ciudad de Pilar, durante el año 2024. Los objetivos específicos incluyen identificar el relacionamiento intrafamiliar de los alumnos, las condiciones socioeconómicas de sus padres y el interés por aprender en el aula. La hipótesis formulada sostiene que estos factores están relacionados directamente con la deserción escolar. La metodología empleada fue un diseño no experimental, con un enfoque descriptivo que combinó métodos cualitativos y cuantitativos. La población de estudio abarcó a 87 individuos, incluyendo 35 estudiantes, 35 padres o encargados de familia, 15 docentes y 2 directivos, lo que representó un muestreo del 100%. Las técnicas de recolección de datos incluyeron encuestas a alumnos y padres, así como entrevistas a docentes y directivos. Los resultados evidenciaron que los factores socioeconómicos son determinantes en la deserción escolar, ya que muchos estudiantes provienen de hogares con recursos limitados. Además, se observó que el relacionamiento intrafamiliar es crucial; un ambiente familiar de apoyo se correlaciona positivamente con la motivación y el rendimiento académico. Finalmente, la falta de interés por aprender se destacó como un factor que podría ser mejorado mediante prácticas pedagógicas más inclusivas y atractivas. En conclusión, los hallazgos respaldan la hipótesis planteada, sugiriendo que para reducir la deserción escolar es fundamental abordar de manera integral estos factores. Las recomendaciones derivadas de la investigación apuntan a fortalecer el apoyo socioeconómico, mejorar la calidad de la educación y fomentar la participación activa de las familias en el proceso educativo.
En Colombia los Particulares Violan Derechos Humanos
Authors: López Ordoñez Isabella , Argumedo Trilleras Giomara , López Quiroz Alexander
Published: November 2024

Se propone que los miembros de los grupos armados ilegales violan DD. HH, este reconocimiento a nivel internacional lograría la humanización de los conflictos armados; bajo el principio de legalidad, la definición legal de persona y el deber de todos de respetar los Derechos Humanos. Se trata de una investigación bajo el enfoque cualitativo, en tanto que se realiza una interpretación hermenéutica del sistema jurídico con una perspectiva epistemológica hermenéutica, en tanto que se interpreta las normas jurídicas constitucionales y los DD. HH.
Abordaje Tomográfico en Pacientes Pediátricos Diagnosticados con Arco Aórtico Interrumpido. Serie de 6 Casos
Authors: Nieto del Rio Maite Lubian , Hernández Trejo Matilde Cecilia
Published: November 2024

El arco aórtico interrumpido (AAI), es una anomalía congénita rara que interrumpe el flujo sanguíneo entre la aorta ascendente y descendente, representando aproximadamente el 1.5% de las cardiopatías congénitas. Se clasifica en tres tipos, siendo el tipo B el más común. A menudo se asocia con anomalías genéticas, especialmente el síndrome de DiGeorge, que complica el manejo clínico debido a problemas infecciosos y endocrinos. El diagnóstico ha mejorado con técnicas de imagen no invasivas como la angiotomografía computarizada multicorte (angio-TCMC) y la resonancia magnética cardíaca (RMC), que permiten una evaluación detallada y planificación quirúrgica. Este estudio presenta una serie de seis casos pediátricos, donde se encontró una alta prevalencia de anomalías cardíacas asociadas, como el conducto arterioso persistente y la comunicación interventricular. El manejo quirúrgico ha evolucionado hacia reparaciones en una sola etapa, aunque la mortalidad postoperatoria sigue siendo significativa, alcanzando el 33.3%. En este estudio se enfatiza la importancia del seguimiento a largo plazo para detectar complicaciones tardías y mejorar la calidad de vida de los pacientes, así mismo se subraya la necesidad de optimizar los protocolos de imágenes diagnósticas, como también de manejo perioperatorio para mejorar los resultados clínicos en pacientes con AAI.
Estrategias De Marketing Digital Aplicadas Por Las Pequeñas Empresas De La Ciudad De Pilar En El Período De La Pandemia Del Covid-19
Authors: Negrette Agüero María Paz , Amarilla Negrette Nathalia
Published: November 2024

La pandemia de Covid-19 tuvo un fuerte impacto en la economía, pero la incorporación de nuevas tecnologías, como los entornos comerciales digitales, contribuyó a que la compra y venta de productos y servicios pudiera continuar. ES por ello que este estudio tuvo como objetivo examinar las estrategias de marketing digital que aplicaron en el período de la pandemia del Covid-19 las MIPYMES de la ciudad de Pilar. Por medio de un análisis de enfoque cuantitativo, con un diseño no experimental y de tipo descriptivo. Se tomó como muestra a n=68 MIPYMES de la ciudad de Pilar, que cumplían con los criterios de inclusión. Se aplicó un cuestionario por medio de una encuesta. Los principales resultados mostraron que, la mayoría de los dueños o gerentes de microempresas en Pilar durante la pandemia del COVID-19 fueron mujeres. Las estrategias de marketing más utilizadas incluyeron principalmente WhatsApp y Facebook, destacando su capacidad para mantener una comunicación cercana con los clientes en un contexto de restricciones. Aunque Instagram fue menos utilizada, su relevancia como plataforma visual se mantuvo para aquellas empresas que buscaban destacar sus productos. La digitalización de las estrategias de marketing impactó positivamente en las ventas, pese a los desafíos de recursos y conocimiento. Aquellas empresas que implementaron promociones y descuentos lograron adaptarse mejor al contexto, manteniendo su visibilidad y competitividad durante la crisis.
Técnicas de Drenaje Percutáneo de la Vesícula Biliar en el Contexto de la Colecistitis Aguda. Revisión Exhaustiva de la Literatura
Authors: Salazar Simbaña Md. Bryan Paul , Llangarí Loyola Md. Inés Belén , Bonilla Alcazar Md. Pablo Sebastian , Patiño Camacho Md. Valery Estefania , Sarango Chávez Md. Luis Felipe , Salavarría Tutivén Md. Alisson Nicole , Hernández Alfonso Machala Dr. Alexander
Published: November 2024

El nacimiento de la colecistostomía percutánea se da gracias a la necesidad de un procedimiento con anestesia local, con mínima agresión parietal, rápida, con una tasa de éxito del 95%-100% y baja mortalidad, para ser usado con pacientes con riesgo elevado. Este articulo tiene como objetivo describir las técnicas que se puede emplear para la realización de este procedimiento como es el drenaje endoscópico de la vesícula biliar y el drenaje percutáneo tomando en consideración la técnica, duración del procedimiento, indicación y contraindicaciones y efectos adversos. El drenaje percutáneo, con sus técnicas guiadas por imagen, ofrece una solución eficaz para la descompresión vesicular. Por otro lado, los avances en el drenaje endoscópico, especialmente con el uso de stents metálicos de aposición luminal, han mejorado considerablemente las tasas de éxito clínico y reducido las complicaciones asociadas. La elección del método más adecuado debe individualizarse.
Influence “N” Notation on Stock Price: Study in Multiple Voting Shares
Authors: Kurniasih Ninik , Irawati Rika , Haryati Haryati
Published: November 2024

Multiple Voting Share (MVS) is classification of shares in which every single one share can prodive more than one vote to shareholders eligible. The revocation was indicated in the regulation of Indonesian Otoritas Jasa Keuangan (POJK) number 22/POJK.04/2021 about implementing the classification of share voting right multiple or multiple voting share who released officially by December 2021. This similar line with the regulation of BEI (Indonesian Stock Exchange) then released. There is special notation, specially N notation, its given to issuers that has recorded on market exchange. Multiple voting share is identified as total asset and free float ratio as well. This study attempts to testing whether N notation (total asset and free float ratio) are impacted on stock price on multiple voting share.The benefits on this research is  giving the investors informations about the notation, that they have to be careful, and avoid significant risk, This research is an explanatory method, backed by secondary data  using. The technique of analysis is statistic testing classic assumption as normalty, multicolinierity, autocorrelation and heteroskedasticity to full fill the regression in completely. The Result found that 0,077 of total asset in partial is no effect on the stock price, While the 0,127 of free float ratio in partial is no effect on the stock price too. The score of these independent variables is above the alpa five percent, so both total asset dan free float ratio none that influence to the stock price.
Articial Intelligence - Driven Prediction of Health Issues in Infants - A Review
Authors: Ramya M. , Venkatesh S. , Senthil Pandi S. , Subasini C. A. , Mangalapu Naresh kumar , Saranya V.
Published: November 2024

Advances in technology and data availability have helped in improving the quality of care and in predicting health issues in infants. Currently, Information and Communication technology aids in reaching the essentiality and the applications of infant health to a greater extent. Over a few decades, researchers have dived into sensing and the prediction of Artificial Intelligence (AI) for infant health. Since these healthcare systems deal with large amounts of data, significant development is seen in several computing platforms. AI, including both machine learning (ML) and deep learning (DL), plays a crucial role in the medical industry in the prediction and classification of various infant diseases. The prediction of diseases in infants using extubation readiness and their utility ranges is still lacking. Thus, the present study aims to present a complete review of the adaption of ML and DL approaches to infant health prediction. The current review paper provides a complete overview of the research predicting infant health issues. Effectual comparisons are made among the AI approaches performing infant disease prediction. Furthermore, the paper identifies the research gaps and the future direction of the research in the present domain. A comprehensive form of analysis of the current landscapes involved in predicting infant health issues using AI is presented.
Optimizing the Bidding Data for power industry with elastic demand using hybrid Water Cycle Moth Flame Optimization Algorithm
Authors: Datta Monalisa , Dipu Sarkar  , Soumyabrata Das
Published: November 2024

Strategic Optimal Bidding of the data is a compulsory duty for Independent System Operator (ISO) which is the most complicated task that maximizes the profit of the supplier by handling bidding coefficient strategically. This paper endorses a strategy of optimal bidding coefficient data to improve the profit value by latest optimizing technique named hybrid Water Cycle Moth Flame Optimization Algorithm, which achieves a heuristic search thereby obtaining a global search of a stream using Levy flight movement. This method is applied and tested on an Indian-75 Bus system to test and investigate the new strategy whether receiving best solution of profit in comparison with other conventional techniques explained widely. On adding it evaluates the efficacy of the proposed method on the mentioned system through assessing total profit obtained, revenue, power generation, Market Clearing Price and cost of the individual GENCO. In order to show the Statistical Analysis the Box-plot is done to perform the visual data representation of the proposed and conventional methods.
Optimal Design of State Variable Filter using Partition-bound Particle Swarm Optimization
Authors: Kund Suvashish , De Bishnu Prasad , Kar Rajib , Mandal Durbadal , Appasani Bhargav
Published: November 2024

Because of manufacturing constraints, designing analog active filters is highly challenging. Evolutionary computing is an effective method for automatically selecting the component values like resistors and capacitors. This work describes the partition-bound Particle Swarm Optimization (PB-PSO) for efficiently designing second-order active low-pass state variable filter (SVF) considering different manufacturing series. PB-PSO is responsible for efficiently picking components and minimizing total design error. The filter components are chosen to be compatible with the E12/ E24/ E96 series. Compared to earlier optimization strategies, the simulation findings show that PB-PSO reduces the overall design error.
Congestion Management in Interconnected Power System using Water Cycle Algorithm
Authors: Sarkar Dipu
Published: November 2024

Nowadays, it is desirable for the power industry to transmit power between different sites of the transmission system in the most cost-effective manner. Congestion management is one of the system operator's most challenging responsibilities in a deregulated context. Congestion would increase electricity costs and transmission loss and have a negative impact on the system's stability and security, so system operators work on it to reduce congestion in deregulated power systems. In this investigation, congestion is handled by considering three objective functions. The first objective is to minimize the generation cost and the second objective is to minimize the transmission loss of the system and third objective is to minimize the total congestion expanse. A water cycle algorithm is employed to mitigate the proposed congestion management and an IEEE 30 bus and 118 bus test system is employed to demonstrate the effectiveness of the suggested approach.
Power Quality Enrichment and Power Management using an Adaptive Control Scheme in Microgrid System
Authors: P Dr. Narendra Babu
Published: November 2024

This article proposes an ANFIS-based control scheme for improved power quality and power management that will provide optimal and sustainable energy in a grid-connected renewable energy system. The system consists of a wind energy conversion system (WECS), a photo voltaic system (PVS), and a battery energy storage system (BESS). To increase the PVS's and WECS output powers, a unique control approach is suggested in this paper. The adaptive Neuro-Fuzzy Inference System (ANFIS) controller is incorporated into the proposed controller to generate three-phase reference current signals for harmonic elimination in the system during system dynamic conditions. The proposed control technique can work under voltage quality problems such as voltage sag, voltage swell, neutral currents, and reactive power. Renewable energy sources (PV and Wind) are interfaced to improve the DC-link overall performance by minimizing short-term and long-term voltage problems. The proposed controller regulates the energy flows between the renewable energy sources to the end users with a unity power factor. A supervisory control scheme is implemented for optimal power management in the system. Based on the load requirement, and how the renewable, battery, and grid sources are sharing the power, a detailed analysis is given in the paper. Simulation results from the MATLAB/Simulink platform under several test conditions at the grid side and load side illustrate the efficacy of the proposed control mechanisms in the environment of power optimization and energy management. The comparative analysis is performed to show the efficacy of the proposed system. Finally, the proposed system is validated and the THD content of the grid currents is found good.
System Implementation for the Soft Start Operation of a Doubly-Fed Induction Motor
Authors: Suwan-ngam Warachart
Published: November 2024

This project aims at system implementation for the soft start operation of a doubly-fed induction motor (DFIM) based on stator flux vector control. In this paper, the theory is briefly discussed. The simulation is performed using PLECS software to validate the hypothesis. A 5 kW wound rotor induction motor (WRIM) mechanically coupled with a simulated load is setup for the experiment. The STM32F407 microcontroller is applied to control the experimental system. Moreover, the Modbus protocol is applied for communication between the microcontroller and the computer using RS485 standard. The problem about rotor angle correction before enabling the MSC, which does not appear in the simulation, is seriously discussed. The experimental results do substantiate the proposed method and can be practically applied to the real system.
Improved General Relativity Search Algorithm (IGRSA) for Designing Power System Stabilizers
Authors: Ehsanmaleki Behzad , Radmanesh Hamid
Published: November 2024

This paper proposes a novel optimization algorithm for designing power system stabilizers (PSSs). The prospect of attaining higher stability motivated the authors to creat a new optimization algorithm for this study. A novel algorithm named the Improved General. Relativity Search Algorithm (IGRSA) was also developed by cloud theory to improve the performance of GRSA. The supremacy of the proposed approach is tested by comparing it with an introduced objective function in a medium multi-machine power system. The nonlinear simulation results and eigenvalues analysis has demonstrated that the proposed approach in this study is highly effective in enhancing the dynamic stability of the power system.
Проблема ранней реабилитации пациентов с переломом нижней челюсти и их осложнениями (обзор)
Authors: Л.У. Валиева , А.С. Панкратов , О.Р. Орлова , И.В. Барышников
Published: November 2024

Переломы нижней челюсти как самый частый вид повреждений костей лицевого скелета сопровождаются функциональными нарушениями, которые полностью не устраняются даже через год после травмы несмотря на восстановление анатомии кости и консолидацию отломков. В свою очередь это является провоцирующим фактором развития ряда заболеваний челюстно-лицевой области, для предупреждения которых необходимо внедрение программ медицинской реабилитации, систематизация которых явилась целью настоящей работы. Проанализированы данные литературы за последние 20 лет, посвященные различным методам воздействия на те или иные звенья патологического процесса, обусловленного травмой. В то же время не выработана комплексная программа реабилитации пациентов с переломами нижней челюсти, основанная на достаточной доказательной базе, что требует продолжения исследовательских работ по данной проблеме.

Mandible fractures, which are the most frequent type of damage to the bones of the facial skeleton, are accompanied by functional disorders that are not completely eliminated even a year after the injury, despite the restoration of bone anatomy and consolidation of fragments. This, in turn, is a provoking factor in the development of a number of diseases of the maxillofacial region, for the prevention of which it is necessary to introduce medical rehabilitation programs, the systematization of which was the purpose of this work. The literature data for the last 20 years devoted to various methods of influencing certain links of the pathological process caused by trauma are analyzed. At the same time. a comprehensive rehabilitation program for patients with mandibular fractures based on a sufficient evidence base has not been developed, which requires continued research on this problem.
Implementing machine learning to characterize solar cells and optimize their efficiency
Authors: Mazouz Nacera , Addou Asmaa , Hamida Nourelhouda Djilali
Published: November 2024

Artificial intelligence (AI) has evolved into an indispensable component across various sectors, with a particular emphasis on employing machine learning techniques. This integration of AI technologies holds significant importance, especially in the realm of renewable energy, given its positive ecological impact and its role as a sustainable energy source to fulfill our energy needs. The field of solar energy is undergoing continual research and development, with a dedicated focus on applying various machine learning techniques to optimize energy production. One such area of investigation pertains to Maximum Power Point Tracking (MPPT). In this study, we have implemented a machine learning algorithm, specifically a regression tree, using a novel dataset derived from experimental measurements. Our approach yielded a commendable accuracy score of 96%. Our primary objective revolves around the meticulous construction of a database through precise experimental measurements, which serves as the foundational cornerstone of the machine learning process. This dataset is then utilized to develop and train a machine learning model that can predict values pertinent to our research. Finally, we deploy this model within a dedicated platform to facilitate the attainment of the Maximum Power Point, a crucial component in the optimization of solar energy systems.
Gas effect on HT supersonic flow around sharp airfoil
Authors: Takhnouni Rahima , Yahiaoui Toufik
Published: November 2024

The aim of this work is to develop a numerical calculation program to study the effect of gas on the supersonic flow around a sharp airfoil in the context of a gas at high temperature (HT) below the threshold of dissociation of molecules by use of successive shocks and expansions on the airfoil surface. The airfoil is discretized into several consecutive segments on the extrados and intrados of the airfoil. The relations of an oblique shock wave (OSW) and the Prandtl Meyer expansion (PME) are used to determine the thermo-physical parameters on all segments including the Mach number, the pressure ratio, the temperature ratio, and the total pressure ratio in each segment considered to determine the aerodynamic coefficients of drag, lift, and pitching moment of the airfoil. The application is made for air and with 6 other gases which are H2, O2, N2, CO, CO2, and H2O. Three new comparison coefficients λD, λL and λM have been introduced to compare respectively the drag, lift and pitching moment coefficients of any gas compared to air for any sharp airfoils. So when a coefficient is less than unity, the gas considered has better performance compared to air for the corresponding gas dynamics coefficient. The application is made again for symmetrical curved airfoil given its practical interest in the international community. The validation is made by considering the calculation of the flow using the HT model at low temperature T0=500 K approximately, which represents the PG model threshold, the results of which for this last model can be found in the literature. The comparison of the results between the gases mentioned above and air shows the existence of a difference of 18.56%, 8.87%, 5.00% 2.39% 73.62% and 56.13% between the gases and air when M∞=5.00, T0=3500 K, α=2° and t/C=4% demonstrating the existence of gases more efficient than air in the field of aerospace construction. The application can be expanded for the design of future atmospheric and space vehicles.
First Detection of Molecular Gas in the Giant Low Surface Brightness Galaxy Malin 1
Authors: Galaz Gaspar , González-López Jorge , Guzmán Viviana , Messias Hugo , Junais  , Boissier Samuel , Epinat Benoît , Weilbacher Peter M. , Puzia Thomas , Johnston Evelyn J. , Amram Philippe , Frayer David , Blaña Matìas , Howk J. Christopher , Berg Michelle , Bustos-Espinoza Roy , Muñoz-Mateos Juan Carlos , Cortés Paulo , García-Appadoo Diego , Joachimi Katerine
Published: November 2024

After over three decades of unsuccessful attempts, we report the first detection of molecular gas emission in Malin 1, the largest spiral galaxy observed to date, and one of the most iconic giant low surface brightness galaxies. Using Atacama Large Millimeter/submillimeter Array, we detect significant 12CO (J = 1–0) emission in the galaxy’s central region and tentatively identify CO emission across three regions on the disk. These observations allow for a better estimate of the H2 mass and molecular gas mass surface density, both of which are remarkably low given the galaxy’s scale. By integrating data on its H i mass, we derive a very low molecular-to-atomic gas mass ratio. Overall, our results highlight the minimal presence of molecular gas in Malin 1, contrasting sharply with its extensive, homogeneous atomic gas reservoir. For the first time, we position Malin 1 on the Kennicutt–Schmidt diagram, where it falls below the main sequence for normal spirals, consistent with previous upper limits but now with more accurate figures. These findings are crucial for constraining our understanding of star formation processes in environments characterized by extremely low molecular gas densities and for refining models of galaxy formation, thereby improving predictions concerning the formation, evolution, and distribution of these giant, elusive galaxies.
Exact solutions to the fractional nonlinear phenomena in fluid dynamics via the Riccati-Bernoulli sub-ODE method
Authors: Hamali Waleed , Alghamdi Abdulah A.
Published: November 2024

The Riccati-Bernoulli sub-ODE method has been used in recent research to efficiently investigate the analytical solutions of a non-linear equation widely used in fluid dynamics research. By utilizing this method, exact solutions are obtained for the space-time fractional symmetric regularized long-wave equation. These results comprehensively understand the long wave equation widely used in numerous fluid dynamics and wave propagation scenarios. The approach to studying these phenomena and using conceptual representation to understand their essential characteristics opens the door to valuable insights that may help improve both the theoretical and applied aspects of fluid dynamics and similar fields. Thus, as these complex equations demonstrate, the suggested approach is a valuable tool for conducting further research into non-linear phenomena across several disciplines.
Multi-body dynamic evolution sequence-assisted PSO for interval analysis
Authors: Wu Xuanlong , Zhong Peng , Lin Weihao , Deng Jin
Published: November 2024

To enhance the efficiency and accuracy of response analysis in practical multivariable complex engineering problems, we introduced a new interval analysis method—multi-body dynamic evolution sequence-assisted particle swarm optimization (DES-PSO) is introduced in this research. This method optimizes the heterogeneous comprehensive learning particle swarm optimization algorithm (HCLPSO) by incorporating a dynamic evolution sequence (DES), addressing the difficulty of HCLPSO in covering the search space, which makes this method suitable for solving multivariable interval analysis problems. The results of two numerical examples prove that both DES-PSO and HCLPSO can give the accurate upper and lower bounds of the response interval. Compared with HCLPSO, DES-PSO improves the computing speed by about 50%.
Securing air defense visual information with hyperchaotic Folded Towel Map-Based encryption
Authors: Kanwal Shamsa , Inam Saba , Hajjej Fahima , Saleh Alluhaidan Ala
Published: November 2024

In modern air defense systems, safeguarding sensitive information is crucial to prevent unauthorized access and cyber-attacks. Here, we present an innovative image encryption approach, leveraging chaotic logistic maps and hyperchaotic Folded Towel Map sequence generation. The proposed image encryption is a multi-layered procedure intended to secure image transmission. It initiates with permutation, where a chaotic logistic map generates pseudo-random sequences to scramble pixel positions. Next, key mixing creates complexity, randomness, and nonlinearity using an invertible key matrix. Finally, the diffusion phase employs hyperchaotic maps to produce a new sequence XORed with the pixels through a bitwise operation, further encrypting the image. This three-stage process efficiently protects images from unauthorized access, ensuring secure transmission. The proposed method enhances security by leveraging non-linearity, sensitivity, and robust mixing, properties making it highly resistant to cryptographic attacks. The experimental results showed robust encryption performance as established by metrics such as an entropy value of 7.9991, a UACI of 33.21%, and an NPCR of 99.61%. The proposed encryption approach outperformed existing methods in securing image transmission and storage, offering a reliable solution for protecting air defense communication strategic data.
Research on the impact of digital trade and energy consumption
Authors: Zhang Siyu , Zhou Songlan , Wang Mengxin , Zuo Leyan
Published: November 2024

This study investigates the impact of the digital trade on energy consumption, as well as its mechanism, from 2014 to 2022 by developing a digital trade evaluation index system. We find that the growth of the digital trade can reduce per capital energy consumption and also passes various robustness tests. The main influencing mechanism is that the digital trade affects energy structure transformation and changes in final demand, which results in lower energy consumption. In terms of the spatial distribution, the digital trade decreases per capital energy consumption more in the eastern regions and promotes per capital energy consumption reduction less in the central regions, whereas there is no significant correlation in the western regions. The findings extend the benefits of the digital trade beyond economic and social welfare benefits and provide a consultation for digital economy for green development.
Enhanced GDM Algorithms for College Mathematics Teaching Quality Evaluation Under Interval-Valued Intuitionistic Fuzzy Sets
Authors: Qiao Jingjing , Yu Jie
Published: November 2024

The college mathematics teaching quality evaluation is the multiple-attribute group decision-making (MAGDM). Currently, the Exponential TODIM (ExpTODIM) and MABAC was executed to put forward MAGDM. The interval-valued intuitionistic fuzzy sets (IVIFSs) are executed for portraying fuzzy data during the college mathematics teaching quality evaluation. In this study, the interval-valued intuitionistic fuzzy number ExpTODIM-MABAC (IVIFN-ExpTODIM-MABAC) approach is put forward the MAGDM with IVIFSs. At last, numerical example for college mathematics teaching quality evaluation is executed to verify the IVIFN-ExpTODIM-MABAC. The major contributions are executed: (1) the ExpTODIM-MABAC based was extended to IVIFSs along with Entropy model; (2) the entropy is employed to execute the weight under IVIFSs. (3) the IVIFN-ExpTODIM-MABAC approach is put forward MAGDM with IVIFSs; (4) numerical example for college mathematics teaching quality evaluation and comparative analysis is executed to proof the IVIFN-ExpTODIM-MABAC approach.
Use of Artificial Intelligence Technologies in Visual Design
Authors: Karaman Merve
Published: November 2024

Artificial intelligence (AI) refers to computer systems crafted to replicate human cognitive functions such as learning, perception, and problem-solving. Recently, AI technologies have gained widespread popularity across various domains, including healthcare and finance. They have also significantly impacted visual design. This study investigates AI technologies' burgeoning influence and utilization in visual design, delving into their effects and applications. It scrutinizes how AI innovations transform visual design processes, influence creativity, and shape design practices. The research emphasizes the emergence of AI-powered design tools, their impact on designer creativity, and their potential advantages and drawbacks to creative processes. It also examines the ethical and practical challenges of integrating AI into design practices. By thoroughly assessing AI's impact on visual design, the study aims to prognosticate future technological advancements.
Rancang Bangun Aplikasi Pemimjam dan Pengembalian Buku Menggunakan Barcode Berbasis Android di Perpustakaan Yayasan Mafazah
Authors: Amini R Nurul Arifah , Sulistyowati Rini
Published: November 2024

Perpustakaan sekolah merupakan salah satu fasilitas pendidikan yang menunjang kegiatan pembelajaran dan memiliki peran penting dalam mendukung pencapaian tujuan pendidikan. Di Perpustakaan Yayasan Mafaza Indonesia, perpustakaan berperan dalam membantu siswa dan guru dalam mendapatkan referensi materi pelajaran untuk mendukung kegiatan belajar mengajar. Di perpustakaan, kegiatan seperti pendaftaran pengunjung, pencatatan buku, peminjaman buku, pengembalian transaksi, dan pembuatan laporan di perpustakaan masih dilakukan secara manual, sehingga membutuhkan waktu dan tenaga yang lebih banyak, dan sering terjadi kesalahan dalam mencari data yang dibutuhkan. Penulis merancang sistem informasi pengelolaan perpustakaan menggunakan QR Code berbasis web untuk mengatasi masalah ini sehingga kegiatan dapat dilakukan dengan lebih cepat dan mudah. Metode pengembangan Waterfall digunakan untuk membangun sistem informasi berbasis web ini. Tahapan yang dilalui dalam metode ini adalah tahapan Persyaratan, Desain, Pengkodean & Pengujian, Integrasi & Pengujian, dan Operasi dan Pemeliharaan. Sistem informasi dibangun menggunakan bahasa pemrograman JavaScript, pustaka ReactJS, Cloud Firestore sebagai database, dan UML sebagai model sistem. Hasil akhir dari desain ini adalah menghasilkan sistem informasi pengelolaan perpustakaan menggunakan QR Code berbasis web untuk SMPN 1 Perpustakaan Mandalawangi. Dapat diartikan bahwa sistem yang telah dirancang dapat memudahkan staf perpustakaan dalam proses pelayanan, pengelolaan data, dan pembuatan laporan di perpustakaan Yayasan Mafaza Indonesia.
Analysis of Impact and Sustainability in Chronic Diseases Prevention Program in XXX Highschool Balikpapan (Systematic Review)
Authors: Tarninda Andi Amirul , Erwandi Dadan
Published: November 2024

A healthy lifestyle requires discipline. It's not easy, particularly adolescent who feel free and are looking for their existence. Its implementaiton needs to be applied to adolescent due to many cases of chronic diseases developing among them, following their lifestyle. Sedentary/lazy to move, smoking, alcohol, lack of rest and not being able to manage mental health. Generally, adolesecent at the educational level of Junior and Senior High School. The objective of this study is to analyze aspects of the impact and sustainability of chronic disease prevention programs for adolescents. This study is a systematic review using the PRISMA (Preferred Reporting Items for Systematic Reviews & Meta Analyses) method combined with open-source search engine. The database used for searching data and information is PubMed. The keywords used during the search process are "Prevention of Chronic Disease" AND "Chronic Disease" OR "Non-communicable Disease" OR "Infectious Disease" AND “Impact of Chronic Diseases” AND “Teenagers” OR “Adolescents” AND “School”. The most variable aspects of disease prevention are more information related to chronic diseases, knowledge, attitudes and stakeholder support. The CERDIK program provides knowledge, education and information among adolescents. These factors must be taken into consideration to improve lifestyle, maintain health so that you are not vulnerable to health problems during the teenage period