bluuebunny/crossref_metadata_2025 huggingface dataset:
Transforming healthcare delivery: The essential role of nurses, administrators, and pharmacists in advancing population health management
Authors: Alquwaidi May Khalid , Alkhadrawi Mariam Adnan , Alotaibi Abdulaziz Mustoor Mujieb , Alharbi Khalid Jahaz Jayz , Alqahtani Hussain Muidh Hadi , Alharbi Ahmed Shahan , Alherz Sughra Salman , Alqasir Mohammed Abdulrahman Abdullah
Published: December 2024

Background: Population Health Management (PHM) is a transformative approach to improving health outcomes by addressing both clinical and social determinants of health within specific populations. This strategy utilizes advanced technology and data analytics to prioritize prevention, proactive care, and enhanced collaboration across healthcare systems. Despite its potential, the integration of PHM into healthcare delivery remains uneven, requiring further research into its methods, outcomes, and implications, particularly for nursing, health administration, and pharmacy. Aim: This paper critically analyzes the foundational principles, processes, and outcomes of PHM, focusing on its impact on healthcare delivery. It examines the role of social determinants of health in achieving equity in care and explores how nursing, healthcare administration, and pharmacy contribute to optimizing and implementing PHM frameworks. Methods: A thorough literature review was conducted, utilizing peer-reviewed articles and case studies from high-impact publications. This review focused on PHM frameworks, including value-based care models and the Triple Aim, to assess key outcomes, challenges, and enablers of successful PHM implementation within integrated health systems. Results: The research findings indicate that PHM provides several notable benefits, such as reduced hospitalization rates, improved management of chronic diseases, and greater health equity through targeted interventions.
Evaluation of the functional status of post caesarean women with low back pain using Psoas major exercise
Authors: Yogeswari M , Revwathy S , Swathi J , Sivakumar V. P. R , Vidyagajalakshmi M , Balaji P
Published: December 2024

Low back pain and functional limitations have been commonly reported in postnatal women who underwent a cesarean section (C-section). Despite the understanding that the Psoas major muscle, an important lumbar spine stabilizer, is critical in the treatment of low back pain, only limited studies on the benefits of Psoas major exercise intervention in postpartum C-section women prevail. Therefore, the present study aims to determine the influence of psoas major exercise in postnatal cesarean women with low back pain, and functional impairments. 60 women who had C-section deliveries participated in the present prospective randomized study either in the control group A (n = 30) or in the interventional group B (n = 30). The Roland-Morris Low Back Pain and Disability Questionnaire (RMQ) and NPRS (Numerical Pain Rating Scale) were utilized as standardized assessment tools and the outcome measures revealed that intervention with designed Psoas major exercises in postnatal C-section women significantly alleviated low back pain and improved functional status (p<0.001). The study results, thus clearly demonstrate the beneficial influence of Psoas major exercise in postnatal C-section women, and emphasize the need for further large cohort studies.
Evaluación de sustitución parcial de harina de trigo por la harina de pulpa de nancite (byrsonima crassifolia) en la formulación de galletas, a escala de laboratorio
Authors: Zelaya Lanuza Donald Samuel , Torres Sánchez María Isabel , González González José Gabriel , Sánchez Flores Douglas Alexander
Published: December 2024

El presente estudio tuvo como finalidad producir harina a base de pulpa de nancite (Byrsonima crassifolia) como una propuesta de sustitución parcial de la harina de trigo convencional en la elaboración de galletas, realizando un diseño experimental donde se varió el porcentaje de sustitución de harina de trigo por harina de pulpa de nancite, con las siguientes proporciones: 90:10, 80:20 y 70:30, manteniendo constantes otros ingredientes y condiciones de procesamiento. Al realizar la investigación se obtuvieron los siguientes resultados: el rendimiento de la harina fue de 20.62%, diámetro promedio de partículas fue de 245.63 ± 2.04 µm, densidad aparente de 0.76868 ± 0.00339 g/cm3, porcentaje de humedad de 4.568 ± 0.215 % y porcentaje de materia seca de 95.432 ± 0.215 %. Del análisis sensorial se determinó que las galletas elaboradas con 10% de inclusión de harina de pulpa de nancite son las que tienen mayor aceptación, por lo que podría sugerirse como un nivel de inclusión óptimo.
Bioabsorción de metales pesados de agua residuales con bioestimulantes y sustratos por Sechium Edule SW
Authors: Santoyo de la Cruz Mario Francisco , Quevedo Nolasco Abel , Mendoza Peres Cándido , Rubiños Panta Juan Enrique
Published: December 2024

La contaminación de suelos y aguas representa un problema serio. Una alternativa eficiente es la fitorremediación, un método que utiliza plantas para limpiar contaminantes del suelo y el agua. Este enfoque es sostenible y menos invasivo que los métodos tradicionales. Los bioestimulantes, por su parte, son sustancias o microorganismos que mejoran la absorción y asimilación de nutrientes. El objetivo de este estudio fue analizar la bioadsorción de metales pesados provenientes de la presa Endhó y la respuesta agronómica de Sechium edule Sw con bioestimulantes y dos tipos de sustratos. Para ello, se germinaron frutos de Sechium edule Sw y se sembraron en tinas maceteras de 100 L con sustratos de tezontle (fino y grueso) y lombricomposta en una proporción de 8:2 v/v, bajo un diseño experimental 1x3x2. El riego se realizó según las necesidades hídricas del cultivo, empleando agua de pozo durante la primera etapa y agua residual de la presa Endhó en la segunda. Además, se aplicaron tres tipos de bioestimulantes vegetales. Los resultados mostraron que las raíces del tratamiento B presentaron diferencias significativas en las concentraciones de cromo y plomo (p = 0.0067), mientras que en las hojas se observaron concentraciones significativas de cromo y arsénico en el mismo tratamiento (p = 0.0018). Se concluye que el tratamiento B, junto con el uso de bioestimulantes, representa una alternativa viable y sostenible para la bioadsorción de metales con Sechium edule Sw.
Desentrañando el Skimpflation: el fenómeno silencioso que impacta tu bolsillo
Authors: Berlioz Pastor José Guillermo , Espinal Vega Andrea Joanna , Ramos Rivera María Belén
Published: December 2024

El estudio analiza el fenómeno "skimpflation" y su impacto en la economía y vida cotidiana de los consumidores hondureños. Su objetivo es describir su efecto en los precios de bienes y servicios esenciales, explorar las estrategias comerciales detrás y evaluar su impacto en el poder adquisitivo de los consumidores. El skimpflation implica que los consumidores paguen lo mismo por productos de menor calidad, intensificando problemas económicos globales. Se utiliza una metodología de muestreo no probabilístico por conveniencia, realizando una encuesta a 119 personas mayores de 25 años. Los resultados indican un aumento generalizado de precios en productos y servicios esenciales, afectando el poder adquisitivo y calidad de vida de los consumidores. El 98.32% de los encuestados percibe incrementos en precios, y el 96.64% siente que obtiene menos valor por su dinero. Además, el 78.99% considera que el gobierno no está tomando medidas efectivas. Esta problemática se convierte en una variable que afecta negativamente el poder adquisitivo y calidad de vida de los consumidores, contribuyendo al incremento en la desigualdad social y desalentando el crecimiento económico e inversión y generando desconfianza en las instituciones gubernamentales, siendo imperativo la adopción de medidas urgentes y acciones proactivas que mitiguen los efectos del skimpflation.
Evaluación numérica de una combinación de métodos IMEX y diferencias finitas para la solución del modelo BCRE
Authors: QUIROZ DARWIN E. , HENRÍQUEZ IVAN Y.
Published: December 2024

En este trabajo presentamos una comparación numérica de métodos de integración en tiempo utilizando como discretización espacial el método de diferencias finitas para aproximar la solución de un par de ecuaciones diferenciales parciales acopladas que modelan la dinámica de la superficie de una pila de arena. Dada la naturaleza no lineal de las ecuaciones del modelo, además de poseer términos de difusión, la integración en tiempo requiere un mayor costo computacional al aplicar esquemas totalmente explícitos o totalmente implícitos, debido a esto, se realiza un estudio de esquemas que combinan los métodos implícitos y métodos explícitos los cuales muestran una reducción del costo computacional manteniendo la precisión. Para cada método se verificó la tasa de convergencia teórica. En los esquemas LI-IMEX se obtuvo una mejora considerable en el tiempo de ejecución.
Identificación de Sistemas Dinámicos con un Enfoque Integrador Basado en Esparcimiento, Regularización y Aproximación de Bajo Rango
Authors: CARDONA K. , VIDES F.
Published: December 2024

En este documento se presentan aplicaciones de algunas técnicas teóricas y computacionales para la aproximación estructurada de sistemas dinámicos basados en datos. La investigación realizada en este artículo está enfocada en modelos lineales con aplicaciones en ingeniería y ciencias. Específicamente, se integran las propiedades de regularización y esparcimiento en la aproximación de los parámetros con un enfoque en la aproximación de bajo rango. Los resultados son independientes de una representación en particular del sistema y además no se asume una partición de los datos como entrada-salida. Las técnicas antes mencionadas se comparan por medio de algunas simulaciones numéricas y la aplicación en datos reales.
Exploración conceptual de las leyes de Newton bajo el enfoque por competencias: una propuesta didáctica
Authors: VÁSQUEZ L.
Published: December 2024

La presente investigación se desarrolló con el propósito de obtener información documental sobre la comprensión que tienen los estudiantes del nivel medio del Distrito Central sobre las leyes de Newton. La metodología de investigación fue mixta, fundamentalmente basada en el método de investigación-acción, que se dividió en tres ciclos. En el primer ciclo se aplicaron encuestas a 541 estudiantes del Distrito Central y se comprobó que existían debilidades en esta temática. No se están logrando las competencias cognitivas declaradas en el plan de estudios oficial. Se entrevistó a docentes para saber qué conocimiento tenían sobre el cambio curricular que se implementó en el país desde el año 2015 y se indagó sobre las técnicas de enseñanza que mejores resultados les han dado. A partir de la revisión bibliográfica se propone una estrategia didáctica integral con el fin de desarrollar la competencia académica relacionada con la comprensión conceptual de las Leyes de Newton. Posteriormente, una vez implementada se aplica una prueba de conocimientos para valorar la calidad de respuestas de los estudiantes. Con esta investigación se identificó que las debilidades conceptuales más recurrentes en los estudiantes son el álgebra de vectores, el significado físico del Newton como unidad de medida, la relación entre el tamaño y material con la fuerza que produce y recibe al interactuar con otros objetos. Además, se comprobó que al enriquecer la clase transmisiva con actividades variadas hay un mejor aprovechamiento por parte del alumnado. Finalmente, se hace una reflexión sobre por qué ha sido tan difícil la implementación del enfoque por competencias.
Modelación de la transferencia de calor en colectores solares planos para calentamiento de aire
Authors: CUBAS O. , DESTEPHEN J.
Published: December 2024

Este trabajo presenta un modelo de transferencia de calor en colectores solares de placa plana para calentamiento de aire por convección natural. El modelo plantea un sistema de ecuaciones diferenciales que describen el balance de energía para la cubierta transparente, la placa absorbente, el aislamiento térmico y el aire que circula en el colector. Se aproximan las soluciones utilizando el método de diferencias finitas y se generan las simulaciones que dan a conocer el comportamiento de los componentes en el colector. Para las simulaciones se consideraron variaciones en la radiación solar incidente, la velocidad del aire y la separación entre placa y cubierta, mostrando un comportamiento cualitativo presentado por otros modelos. Los resultados muestran el comportamiento de la temperatura en los distintos componentes y en el aire circulante, permitiendo comprender cuales son los parámetros que más influyen en la variación de temperatura del aire en la salida del colector.
QUALIDADE MICROBIOLÓGICA DE OVOS COMERCIALIZADOS EM FEIRA LIVRE DE TRÊS CIDADES DO INTERIOR DO MATO GROSSO DO SUL (MS)
Authors: DE MELO Adriana Mary Mestriner Felipe , FELL Jéssica Ferreira , OLIVEIRA Elane Almeida , DE CARVALHO João Pedro , DE AZEVEDO Eloisa , RIZZON Anna Beatriz , TERENCIANI Jane Virgínia H. , MAIA Karollayne Lourenço
Published: December 2024

O ovo é uma valiosa fonte de proteína animal, tem baixo custo, fácil acesso e elevado valor nutricional fornecendo grande parte dos aminoácidos essenciais, no entanto, sua riqueza de nutrientes o torna um meio propício para o crescimento de microrganismos. Junto com a carne, os ovos estão entre os alimentos mais relacionados com casos de doenças alimentares, e o agente bacteriano mais prevalente em doença transmitida por alimentos (DTA), é a Salmonella. O presente estudo teve como objetivo analisar a qualidade microbiológica da superfície das cascas de ovos comercializados na Feira livre de três cidades do interior de Mato Grosso do Sul (Dourados, Rio Brilhante e Glória de Dourados). Foram analisadas 14 ovos adquiridos em bancas aleatórias das feiras livres nos principais pontos de cada cidade. Os ovos passaram pelas etapas de pré-enriquecimento (água peptonada tamponada a 1,0%), enriquecimento seletivo, isolamento em meios seletivos sólidos (Ágar Salmonella Shigella) e identificação completa das colônias por meio de testes bioquímicos. Simultaneamente realizou-se a pesquisa de coliformes totais, fecais e bactérias heterotróficas por meio da técnica de Petrifilme®. Os ovos analisados estavam de acordo com a legislação, ou seja, ausência de Salmonella sp., porém foram identificadas cepas sugestivas de Serratia liquefaciens e Escherichia coli. A pesquisa de contaminantes do gupo coliforme e bactérias heterotróficas confirmou a suspeita que existem contaminantes diversos na superfície do ovo. Concluiu-se a necessidade de se estabelecer medidas de orientação aos consumidores finais quanto a higienização no momento da sua utilização a fim de evitar doenças veiculadas por alimentos.
DESENVOLVIMENTO DE MASSA DE PIZZA COM BATATA-DOCE PARA UMA ALIMENTAÇÃO FITNESS E GLÚTEN-FREE
Authors: MIRANDA Mariana Daga , COSTA Nathyele Kettlin da , ZAMORA Roxeliann Desrey González , BALBI Maria Eugenia
Published: December 2024

Atualmente, substituições de ingredientes por arroz, chia, côco, banana, milho, pseudocereais (quinoa, amaranto e trigo sarraceno) e leguminosas (feijão, grão de bico e soja), são usadas para criar opções alimentares sem glúten. Tais produtos estão em ascensão, atendendo a pessoas com restrições alimentares, como por exemplo àquelas com Doença Celíaca (DC), ou ainda as que buscam uma alimentação mais saudável. Além disso, nos últimos anos houve um aumento da conscientização sobre hábitos alimentares saudáveis que impulsionou esse mercado, onde até pessoas não sensíveis ao glúten apreciam esses produtos, considerando-os mais saudáveis e de qualidade superior em comparação aos produtos tradicionais com farinha de trigo. Tendo isso em mente, o presente trabalho desenvolveu uma massa de pizza contendo batata-doce como base, e ainda determinou e analisou atributos e informações nutricionais presentes na massa estudada, tais como teores de umidade, proteína, lipídios, fibras, minerais, sódio e carboidratos. Os resultados obtidos neste trabalho permaneceram conforme esperado, com baixos desvios padrão, mantendo-se em conformidade com os padrões de repetibilidade. Além disso, a substituição da farinha de trigo pela batata-doce, tanto para indivíduos com restrição ao glúten quanto para aqueles que buscam uma dieta isenta de glúten, apresentou resultados positivos. Isso foi observado nas avaliações macroscópica e sensorial realizada pelas autoras e na análise química e nutricional. Cada porção da massa de pizza de batata-doce fornece 119 kcal, representando apenas 6% do valor energético diário com base em uma dieta de 2000 kcal, o que constitui uma alternativa interessante para quem busca uma refeição com poucas calorias. Sendo assim, foi possível constatar que a receita proposta de massa de pizza utilizando batata-doce como base se mostrou como uma alternativa prática, barata, nutritiva e saborosa para aquelas pessoas que buscam uma alimentação fitness e/ou glúten free, garantindo maior segurança alimentar, principalmente para paciente portadores da doença celíaca.
A EVOLUÇÃO E O FUTURO DA CIBERGUERRA: UM ESTUDO APROFUNDADO SOBRE A FRANÇA
Authors: Schwether Natalia Diniz
Published: December 2024

O artigo entende a guerra do futuro a partir da lente de análise da cibernética e centra sua análise no caso francês, uma das dez nações mais poderosas no ciberespaço do mundo. O país, nas últimas décadas, atualizou tanto os seus documentos estratégicos quanto reorganizou o seu aparato de segurança e defesa cibernética. O intuito é, então, responder ao questionamento geral: como a França tem se organizado para travar a guerra do futuro? E, de forma mais específica: qual o papel da cibernética na preparação desse país? Para tanto, realiza-se um estudo de caso, detendo como principal estratégia de pesquisa a exploração, em especial, de fontes primárias e de documentos oficiais, nos quais são identificados os elementos centrais da política cibernética francesa e as instituições indispensáveis para sua operação. O principal achado diz respeito ao modelo de governança francês do ciberespaço, no qual há uma tentativa de separar as missões e as capacidades ofensivas das defensivas.
PROBLEMS OF PRODUCTION WASTE EFFICIENT USE IN THE METALLURGICAL INDUSTRY
Authors: Temirbaeva G.R. , Ukibaeva G.K.
Published: December 2024

The active economy development, the increase in production growth rates led to the attraction of
raw materials, fuel and energy resources to production. Due to the fact that natural resources are not infinite, their use should be improved through effective processing. But the low level of technology introduction in our economy has plunged into a large number of waste. [1] Considering waste as secondary resources and further obtaining material resources from them, it will be possible to reduce the degree of pollution. In this regard,the purpose of the research was to study and identify the essence of the secondary use of raw materials and energy resources and the effectiveness of their use. To achieve this goal, the following tasks were solved: theoretical foundations of the concept and classification
of industrial wastes and secondary resources are considered; secondary resources market and its problems are studied; waste products use on the example of Kazakhmys Smelting is reviewed; main directions of the secondary resources market development and ways of their use are determined.
ТЕРМОДИНАМИЧЕСКИЙ АНАЛИЗ ВЗАИМОДЕЙСТВИЙ МЕЖДУ КОМПОНЕНТАМИ ШИХТЫ В ПРОЦЕССЕ ПОЛУЧЕНИЯ МЕТАЛЛУРГИЧЕСКОГО КРЕМНИЯ
Authors: Dantaeva A.Z. , Ibraev M.B. , Sultamurat G.I.
Published: December 2024

The theoretical foundations of the recovery process and the technology of silicon smelting in
electric arc furnaces are considered. The results of a study of thermodynamics, reaction kinetics, and mechanisms of the melting process are presented. Production issues are covered: charge preparation, smelting, refining, gas purification. Physicochemical models of the carbothermal process were developed,
proposed and tested under industrial conditions (Tau-Ken-Temir LLP), which made it possible to assess the influence of the specified technological parameters of the smelting (chemical composition and loading coefficients of charge components, temperature) on silicon recovery and grade.
To obtain the base material, metallurgical grade silicon is used, obtained by melting in ore-thermal furnaces
(RTP). In this regard, the research goal is determined, which consists in studying ways to improve the
quality (chemical purity) of silicon, and methods for achieving it at this stage of the study - modeling the carbothermal process for producing silicon.The article describes the main mechanism for the recovery of silica in the furnace, presents one of the designs of the furnace and the technological scheme for the production of silicon. The author suggested studying the process of producing metallurgical silicon in RTP using the HSC Chemistry software package. A model of silicon smelting in RTP was formed, which adequately describes the technological process for producing metallurgical silicon.
A comparative numerical study on the performances of some nonlinear conjugate gradient methods
Authors: Mellal Romaissa , Sellami Nabil , Lekouaghet Nassima
Published: December 2024

This study evaluates the computational performance of five nonlinear conjugate gradient methods—Polak–Ribière–Polyak, Dai–Yuan, Hager–Zhang, Wei–Yao–Liu, and Rivaie–Mustafa–Ismail–Leong—using the strong Wolfe line search to solve unconstrained optimization problems. The algorithms were implemented in Scilab and tested on a diverse set of benchmark functions, including problems from the CUTE library. Performance was assessed based on the number of iterations and CPU time, with results analyzed using Moré and Dolan's performance profiles. Among the tested methods, the Hager–Zhang algorithm demonstrated superior efficiency and robustness, particularly for high-dimensional problems, due to its innovative conjugacy condition and descent property. The study emphasizes the critical role of strong Wolfe's line search in ensuring convergence and highlights how appropriate initialization of step lengths significantly impacts performance. While Hager–Zhang consistently outperformed other methods, Wei–Yao–Liu, Dai–Yuan and Polak–Ribière–Polyak also exhibited competitive results in reducing gradient norms. In contrast, the Rivaie–Mustafa–Ismail–Leong method often failed to converge under certain conditions. This work provides valuable insights into the practical application of nonlinear conjugate gradient methods for unconstrained optimization across various dimensions. The findings underline the importance of selecting robust algorithms and effective line search strategies to enhance computational efficiency in large-scale optimization tasks.
Detection of partial shading and short-circuit faults in a pv system using the artificial neural network multilayer perceptron technique
Authors: Aissat Miloud Elhadj Ali , Mostefa Abdelkader , Khodja Mohamed , Belalia Karim , Meliani Bouziane
Published: December 2024

Photovoltaic (PV) systems play a crucial role in renewable energy production but face challenges due to environmental factors such as partial shading and short circuits, which reduce efficiency and reliability. Continuous monitoring and early fault detection are essential to mitigate these issues. In this work, we propose a fault detection method that focuses on identifying partial shading and short-circuit faults using an artificial neural network (ANN), specifically a Multi-Layer Perceptron (MLP). The MLP model is trained to classify these faults under various environmental scenarios, including situations where both faults occur simultaneously. The methodology involves simulating different fault scenarios using MATLAB/Simulink and training the MLP on input parameters such as voltage, current, and power output from the PV system. Results indicate that the proposed approach achieves high fault detection accuracy, minimizing classification errors and ensuring reliable identification of system failures. This research highlights the advantages of integrating ANN-based fault detection methods into PV system monitoring frameworks, enabling real-time diagnostics and proactive maintenance. By improving fault detection accuracy, the proposed method contributes to the operational efficiency, safety, and longevity of PV installations. This approach can be extended to large-scale PV systems, addressing the growing demand for reliable renewable energy solutions globally. The findings demonstrate the potential of ANN-based methods to enhance fault diagnostics, providing a scalable solution for modern PV systems and supporting the global transition to sustainable energy.
New design model for the slab reinforcement in external steel-concrete composite joints under sagging moment
Authors: Bennacer Mohamed Akram , Necib Hichem , Amara Salah , Beroual Ahmed , Brai Omar
Published: December 2024

Concrete and structural steel are the two most widely used materials in composite construction. Although the behaviour of composite joints' under hogging moment is well covered, it must be recognized that the behaviour of these joints under positive moment bending effect -sagging moment- is not yet been fully mastered. Such loading condition might arise in constructions composites joints exposed to seismic events. This paper aims to presented in this paper is devoted to characterize the behaviour of single-sided composite joints under sagging moments and provide a design approach to estimate the required reinforcement in the vicinity of the composite joint. The European code Eurocode 8 (Code, 2005b), which is concerned with seismic action, provides an analytical formula to assess the reinforcement under mechanism 1 only. However, no formula is provided to estimate the reinforcement under mechanism 2, although the entire reinforcement section is obtained under the effects both resisting mechanisms. The influences of the investigated parameters, namely the column height, column flange width, and slab width are highlighted. These parameters play a significant role in determining the amount of transverse reinforcement and the activation of resisting mechanisms 1 and 2 in the slab. The transverse reinforcement rate, needed to prevent yielding, is estimated under the combination of mechanism 1 using the analytical formula from the European code Eurocode 8 (Code, 2005b), and under mechanism 2 using the proposed analytical model. The last is validated by comparing it to the numerical simulation results of VecTor2. Adequate convergence has been achieved through the proposed model.
Antibacterial activity and minimum inhibitory concentration of Cedar atlantica and Pistacia atlantica essential oils against both gram negative and gram positive bacterial strains
Authors: Dris Ibrahim , Tabart Jessika , Brahim Imene , Chafaa Smail , Mimeche Fateh , Kebieche Mohamed
Published: December 2024

The aim of this study was to investigate the antibacterial properties of cedar (Cedrus atlantica) and Atlas pistachio (Pistacia atlantica) essential oils against pathogenic bacteria. The agar medium diffusion method was used to determine the antibacterial activities and minimum inhibitory concentrations (MICs) of two essential oils against Gram-negative bacteria (Pseudomonas aeruginosa, Acinetobacter baumannii, Proteus mirabilis and Salmonella enterica) and Gram-positive bacteria (Staphylococcus aureus and Bacillus cereus). Acinetobacter baumannii and Staphylococcus aureus were the most sensitive strains to cedar essential oil with inhibition zones 23 and 16.8 mm, respectively, while two strains were resistant, namely Salmonella enterica and Proteus mirabilis. Atlas pistachio essential oil showed an inhibitory effect on all strains tested. Two extremely susceptible strains: Salmonella enterica (26 mm) and Acinetobacter baumannii (24 mm), while two resistant strains: Proteus mirabilis and Bacillus cereus (07 mm) were noted. In terms of MIC values, Pseudomonas aeruginosa and Bacillus cereus were inhibited by the lowest concentration of 0.062% (v/v) cedar essential oil. However, a high concentration of 0.25% (v/v) of the same oil inhibited Staphylococcus aureus and Acinetobacter baumanni. A high concentration of 0.5% (v/v) Atlas Pistachio essential oil inhibited Pseudomonas aeruginosa, while Proteus mirabilis was inhibited by the lowest concentration of 0.25 (v/v). Acinetobacter baumannii, Staphylococcus aureus, Bacillus cereus and Salmonella enterica were also inhibited at an average concentration of 0.25% (v/v). Finally, the two oils studied have considerable antibiotic activities against bacterial pathogens, and that of cedar is more effective than that shown by pistatio EOs.
Impact of a cream formulated in the presence of red algae essential oil on the inhibition of freckles: dermatological and scientific approach
Authors: Safia Djedri , Linda Belhadji , Mounia Rebiha
Published: December 2024

The objective of this study is to optimize the formulation parameters of a stable biocream based on red algae essential oil. The purpose of formulating this cream is to evaluate its effectiveness in treating skin problem such as ephelides. Red algae are marine plants widely found in the waters of the Algerian coasts, rich in fatty acids, minerals and many vitamins. These substances are real candidates that help nourish, moisturize and improve the quality of the skin. The optimization of formulation parameters containing red seaweed essential oil as active substance combined with other natural additives, allowed to obtain a stable cream with organoleptic and rheological criteria Interesting. The processing of the different parameters with the Modde 6.0 software shows the effect of adding shea butter on the viscosity of the cream. The study of the effect of the application of the cream formulated on volunteers with skin problems such as ephelids showed a remarkable reduction in freckles on their skin.
Study of drying and thermal performance of an industrial food dehydrator for cubic beet portions
Authors: Boultif Soufounizia , Belghar Noureddine , Chabane Foued , Harir Mohamed
Published: December 2024

Drying is a food preservation process that involves removing moisture from products to extend their shelf life, reduce weight and volume, and facilitate storage and transportation. In the food industry, this technique is essential for preserving the nutritional and organoleptic properties of foods while limiting microbial degradation. Beets, in particular, are rich in water and require effective drying to become stable, high-quality products. However, their drying presents specific challenges due to their structure and high water content. This study examines the impact of an electric dehydrator on cubic beet slices measuring 4 x 3 cm, with thicknesses of 3 mm, 4 mm, and 5 mm, and initial weights of 30 g, 31 g, and 45 g, respectively. The slices were exposed to an airflow at 50 °C for 225 minutes. The results showed substantial weight reductions, with final weights of 5 g, 1 g, and 6 g, representing 16.6%, 6.45%, and 13.33% of the initial weight, respectively. The beet slices took on a chip-like appearance while retaining their original color. The total heat produced in the drying chamber, 11.5 watts, was sufficient to achieve these results, demonstrating the dehydrator’s effectiveness in reducing moisture content, preserving shape, and maintaining color stability.
On one dimensional modelling of the thermal behavior of thin layers case of coatings deposited on a cutting tool
Authors: Abdelhak Saoudi , Belkacem Meddour , Haddag Badis , Abdelaziz Abboudi
Published: December 2024

Thin layers have gained an important place in industrial structures, because of sensitive functions that can perform. Nowadays they are widely used in several forms more particularly coatings. These latter offer many advantages, in manufacturing as one of application fields, cutting tools have a limited lifetime because of wearing and excessively heated especially in case of dry machining. In order to permit a judicious use, researchers have to develop models to predict thermal behavior when undergoing external thermal loads. Characterizing temperature at a desired point by using a numerical model is a necessity. It is in this context that this work was performed; we developed a numerical model based on finite element method. The considered structure was a substrate (Tool insert)  coated with two different layers. Assuming that heat transfer occurs in one dimensional direction and taking in account all necessary data, the numerical approach allowed us to obtain good results compared to analytical ones, besides they were compared to ones obtained by simulating with Abaqus. Moreover this study confirmed that the finite element method is a powerful tool which can be used to describe the thermal behavior of coatings.
Enhancing vector control performance in DFIG-based wind turbine through ANFIS controller using real variable wind speed profile
Authors: Makhloufi Ibrahim , Bekri Abdelkader , Harrouz Abdelkader , Saihi Lakhdar , Elhachemi Moulay abdellah
Published: December 2024

This article focuses on enhancing vector control for a Doubly Fed Induction Generator (DFIG) through the integration of the Adaptive Neuro-Fuzzy Inference System (ANFIS) method and comparing it with the classical Proportional-Integral (PI) controller. In this study, the wind turbine operates on a DFIG connected to the AC power grid. The proposed vector-ANFIS controller is implemented on the rotor-side converter to regulate the current and achieve the desired torque for Maximum Power Point Tracking (MPPT). The system was modeled and simulated using MATLAB Simulink. The simulation employed a real variable wind speed profile to reflect a real-world scenario. our contribution was also to compress several hours of collected data into a matter of seconds, enabling us to simulate a multi-hour period and observe the results in MATLAB. The results demonstrate the superior performance of ANFIS compared to PI, indicating its potential utility in enhancing the power quality and stability of wind power systems.
Numerical investigation of existing RC exterior beam-column joints under cyclic loading: case study of 1971 algerian building
Authors: Mimouni Mohamed , Kerdal Djamel El Ddine , Kharroubi Lamia , Rebai Billel
Published: December 2024

Many reinforced concrete (RC) buildings constructed in Algeria before the 1980s may have serious structural deficiencies and are considered substandard according to the Algerian seismic code. Specifically, the failure of the beam-column joints has been the cause of building collapse in many earthquakes in the past: Alasnam October 10, 1980 and Boumerdes May 21, 2003. In this work, the behavior of RC exterior beam-column joints under quasi-static cyclic loading is studied by 3D nonlinear finite element analysis using ANSYS software. To perform the non-linear analysis, the load was applied step by step and the modified Newton-Raphson method was used for the solution. In order to prove that the program successfully captures the necessary response parameters without any modifications to the structure details, some available experimental works were modeled and non-linearly analyzed using ANSYS. Moment-rotation and load-displacement relationships were compared with the experimental data. It was observed that the results are quite similar to each other. Thereafter, a typical RC exterior beam-column joint belonging to a building constructed for residential use in Algeria in 1971 was modeled using ANSYS. The joint was subjected to quasi-static cyclic loading, and its performance was examined in terms of load resistance and failure. The moment-rotation hysteresis curve has been established. The hysteretic loops of the joint, representing the existing structure, showed stiffness degradation and strength deterioration.
Intelligent control of PV power conversion system connected to the grid
Authors: Belfedhal Seifeddine Abdelkader , Saridj Ahmed , Drias Souhil
Published: December 2024

The integration of photovoltaic (PV) systems into the power grid has gained considerable attention due to the increasing demand for renewable energy sources. A critical aspect of grid-connected PV systems is the efficient extraction of maximum power from the PV modules under varying environmental conditions. Classical Maximum Power Point Tracking (MPPT) techniques, such as Perturb and Observe (PO) and Incremental Conductance (IC), often struggle with slow convergence and reduced accuracy under rapid changes in irradiance and temperature. To address these limitations, this study proposes the use of an advanced MPPT algorithm based on Artificial Neural Network (ANN), which offers improved tracking efficiency and faster response to dynamic conditions. The proposed MPPT method is implemented and tested within a grid-connected PV system using a three-level Neutral Point Clamped (NPC) inverter for power conversion. The NPC inverter is chosen for its advantages in reducing harmonic distortion and improving voltage quality compared to traditional two-level inverters. A detailed model of the PV system, including the inverter, is developed in MATLAB/Simulink to evaluate the effectiveness of the advanced MPPT method. Various scenarios are simulated to examine the system's performance under fluctuating irradiance changes. This study concludes that the integration of advanced MPPT algorithms with sophisticated inverter topologies is a viable solution for optimizing the performance of grid-connected PV systems. Future research will focus on validating the proposed approach in real-time environments and exploring hybrid control strategies that integrate energy storage systems.
Psychiatric comorbidities and emotional vulnerabilities in Borderline Personality Disorder
Authors: Moreno Beatriz Garcia , Buzi Letícia Guimarães , Sales Vitor Almeida , Canzi Giulia La Falce , Osvaldo Anna Julia Ferreira , Silva Bianca Letícia de Souza , Madruga Guilherme Souza , Machado Maurício Ferreira Marcondes , Lanzarin Júnior Sadi , Júdice Wagner Alves de Souza
Published: December 2024

Borderline Personality Disorder (BPD) is characterized by emotional instability, impulsivity, and fear of abandonment. This study aims to identify external factors that contribute to the development or worsening of BPD. The objectives of this study were to identify the main external factors contributing to the development or exacerbation of BPD by examining characteristics such as past trauma and the relationship with substance use, as well as identifying the prevalence of the disorder in the analyzed group. A total of 147 questionnaires were analyzed from participants over 18 years old, using a socio-economic-demographic questionnaire and an adapted BPQ for BPD symptoms. The analysis included descriptive statistics and t-Student tests to compare specific groups. The average age of the participants was 28.35 years, with a predominance of young adult females. Anxiety (70.1%), depression (25.2%), and BPD (30.6%) were the most common disorders. Most participants with BPD reported suicidal thoughts, with 37.8% frequently experiencing them, 35.6% sometimes, and 24.4% having thought about suicide at some point. The results indicate a high prevalence of comorbidities and suicidal thoughts among participants with BPD, reinforcing the need for preventive interventions and intensive psychological support. The correlation between anxiety and suicidal thoughts highlights the complexity of BPD. The study underscores the importance of early diagnosis and multidisciplinary treatments for individuals with BPD, aiming to reduce the emotional and behavioral impacts of the disorder.
Efektivitas Penggunaan Media Earthquake Simulator terhadap Hasil Belajar Siswa dalam Pembelajaran IPAS Kelas V SD
Authors: Janah Rizqiatul , Setyawati Rina Dwi
Published: December 2024

Penelitian ini bertujuan untuk mengevaluasi penerapan dan keefektifan penggunaan media Earthquake Simulator dalam pembelajaran IPAS pada siswa kelas V di SDN Gayamsari 02 Kota Semarang. Penelitian ini menggunakan desain pre-eksperimen dengan one group pretest-posttest. Subjek penelitian adalah 30 siswa kelas V. Teknik pengumpulan data meliputi observasi, tes, dan dokumentasi. Data yang diperoleh dianalisis melalui uji normalitas dan homogenitas, yang menunjukkan distribusi data normal, diikuti dengan uji t untuk uji hipotesis. Hasil penelitian menunjukkan bahwa media Earthquake Simulator memiliki pengaruh signifikan terhadap peningkatan hasil belajar siswa. Sebelum menggunakan media ini, siswa kesulitan memahami proses terjadinya gempa bumi, namun setelah menggunakan Earthquake Simulator, pemahaman mereka meningkat. Hasil uji t menunjukkan nilai signifikansi (p-value) sebesar 0,000, yang lebih kecil dari 0,05, mengindikasikan adanya perbedaan signifikan antara hasil pretest dan posttest. Secara keseluruhan, penggunaan Earthquake Simulator terbukti efektif dalam meningkatkan hasil belajar IPAS siswa kelas V SDN Gayamsari 02 Kota Semarang.
Pengaruh Penggunaan Game Edukasi Berbasis Wordwall dalam Pembelajaran IPAS terhadap Hasil Belajar Siswa
Authors: Qomaria Evi , Sumarno S. , Roshayanti Fenny , Utami Sari
Published: December 2024

Keberhasilan pembelajaran menjadi salah satu faktor dalam meningkatkan hasil belajar siswa. Melalui pemilihan media pembelajaran yang tepat seringkali mampu membuat siswa menjadi lebih semangat dalam mengikuti pembelajaran. Guru yang menggunakan metode ceramah tanpa menggunakan media cenderung kurang optimal dalam meningkatkan hasil belajar siswa. Game edukasi seperti wordwall merupakan salah satu media pembelajaran yang menyenangkan dan interaktif dimana siswa belajar sambil bermain. Penelitian ini bertujuan untuk mengetahui adanya pengaruh penggunaan game edukasi berbasis wordwall dalam pembelajaran IPAS materi kegiatan ekonomi terhadap hasil belajar siswa. Metode penelitian ini menggunakan penelitian kuantitatif dengan desain quasi eksperimental design tipe Post-test only control group design. Subyek penelitian ini adalah siswa kelas IVA dan IVB SDN Tandang 01 dengan jumlah 54 orang. Instrumen data yang dikumpulkan berupa posttest siswa kelas eksperimen dan kelas kontrol menggunakan soal tes pilihan ganda. Teknik analisis data menggunakan uji prasyarat yaitu uji normalitas, uji homogenitas, dan uji hipotesis menggunakan uji independent sample t-test. Hasil pengujian menggunakan uji t menunjukkan bahwa nilai sig (2-tailed) sebesar 0,00 < 0,05 dan nilai thitung sebesar 8.225 > ttabel sebesar 0,3809 maka H0 ditolak dan H1 diterima sehingga dapat disimpulkan bahwa adanya pengaruh penggunaan game edukasi berbasis wordwall dalam pembelajaran IPAS terhadap hasil belajar siswa.
Strategi Pembelajaran Pendidikan Pancasila yang Efisien untuk Kelas I Sekolah Dasar
Authors: Za’diyah Halymatus , Sukamto Sukamto , Wahyudin Husni , Sunarti Sunarti
Published: December 2024

Penelitian ini bertujuan untuk mengidentifikasi teknik pembelajaran inovatif yang sesuai dengan kebutuhan dan karakteristik siswa usia dini dalam mempelajari nilai-nilai Pancasila. Pendidikan adalah dasar utama untuk membentuk karakter dan kecerdasan anak-anak yang akan mewarisi bangsa ini. Pendidikan Pancasila memainkan peran yang sangat signifikan di Indonesia dalam membimbing moral dan etika anak-anak sejak usia dini. Oleh karena itu, penelitian ini dilakukan untuk mengembangkan strategi pengajaran Pendidikan Pancasila yang efektif untuk siswa kelas 1 SDN Kaligawe. Penelitian ini adalah studi kualitatif yang memanfaatkan metode tinjauan pustaka menggunakan Google Scholar sebagai sumber informasi. Berdasarkan tinjauan pustaka yang telah dilakukan, dapat disimpulkan bahwa teknik pembelajaran inovatif seperti narasi, permainan, dan kegiatan seni sangat berhasil dalam meningkatkan pemahaman siswa kelas 1 SDN Kaligawe terhadap prinsip-prinsip Pancasila. Metode-metode ini tidak hanya membuat proses pembelajaran lebih menarik dan menyenangkan, tetapi juga membantu siswa dalam menginternalisasi nilai-nilai yang diajarkan, meningkatkan pemikiran tajam dan keterampilan pemecahan masalah mereka, serta membentuk karakter sesuai dengan nilai-nilai Pancasila. Keberhasilan penggunaan teknik pembelajaran inovatif sangat bergantung pada peran guru, dukungan dari keluarga, dan kondisi lingkungan di sekolah. Oleh karena itu, kerjasama dari semua pihak diperlukan untuk mengatasi kesulitan dan memanfaatkan potensi pembelajaran kreatif dalam Pendidikan Pancasila secara maksimal.
Perilaku Phubbing Siswa Kelas V Sekolah Dasar dalam Perspektif Etika
Authors: Junaidi Aulia Ditriani , Hatim Magdad , Abdullah Bz Septeiyawan
Published: December 2024

Penelitian ini bertujuan untuk mengetahui bagaimana perilaku Phubbing siswa kelas V SD Negeri 3 Berkat dalam persfektif etika. Metode penelitian ini adalah kualitatif yang teknik pengambilan sampelnya menggunakan teknik Purposive sampling dengan informan berjumlah 9 orang yaitu 1 orang wali kelas sekaligus guru mapel IPS, 4 orang siswa kelas V SD Negeri 3 Berkat dan 4 orangtua siswa.  Pengumpulan data dengan cara observasi, wawancara, dan dokumentasi. Teknik analisisnya menggunakan reduksi data, penyajian data, dan penarikan kesimpulan. Adapun hasil yang didapat dari penenelitian ini bahwa perilaku Phubbing yang terjadi pada siswa kelas V SD Negeri 3 Berkat terjadi di sekolah yaitu pada saat siswa sedang belajar di kelas, ketika jam istirahat di lingkungan sekolah SD Negeri 3 Berkat dan di rumah. Perilaku Phubbing ini terjadi akibat penggunaan Smartphone secara terus menerus hingga larut malam serta tidak adanya aturan khusus bermain Smartphone dari pihak sekolah dan orangtua siswa di rumah.
Dynamics of Firm Size: Moderation Analysis of Profitability and Capital Structure in Assessing Firm Value
Authors: Suwandi Suwandi
Published: December 2024

Investors often have difficulty making careful investment policies, because they must first evaluate the company's prospects for future growth. This causal research is intended to show the extent to which profitability and capital structure can strengthen firm value through moderating firm size variables in automotive and component companies in the Indonesian capital market in 2018-2022. This study involved 12 companies determined based on a purposive sampling approach. The information for this study stems from the financial reports of the sample entities which were collected by browsing the website www.idx.co.id using a documentation approach. Furthermore, multiple linear regression techniques were applied in analyzing research data. Research reveals that firm value can be influenced by profitability and capital structure positively and significantly, while firm size has the opposite impact. However, firm size does not affect the relationship between capital structure and firm value; rather, it influences the relationship between profitability and firm value. Increasing profitability and improving capital structure are necessary to follow up on the research's composition and ensure that firm value keeps rising.