bluuebunny/crossref_metadata_2025 huggingface dataset:
MHD Stefan Flow of Casson Nanofluid Complete a Porous Medium in The Presence of Chemical Reaction with The Effect of Thompson as Well as Troian Slip Over a Plate in the Company of Radiation
Authors: Reddy Anitha Deevi , Reddy Prabhakara Reddy Deevi , Kuntumalla Bhagya Lakshmi , Madhura Sneha Latha , Areti Parandhama
Published: November 2024

In this work, we report the effects of Thompson, Troian slip, and Stefan blowing on the magnetohydrodynamic (MHD) Cassonnanofluid behavior via a porous media while a chemical reaction is taking place. We also examine the effects of radiation parameters, Joel heat, and velocity distribution using a two-phase model for nanofluids. Similarity transformations may be used to convert the primary Partial Differential Equations (PDEs) into Ordinary Differential Equations (ODEs). MATLAB Shooting and Runge-Kutta algorithms may be used to solve nonlinear equations. The variations in non-dimensional parameters show the effects on mass transfer, heat, and fluid flow properties. It is shown that the skin friction coefficient falls as the Stefan blowing parameter S increases. As the values of the Thompson and Troian slip parameters increase, the fluid concentration decreases. With an increase in Nt, Nb, and k, the fluid's heat rises but its concentration falls. The results of this analysis provide several enticing aspects that are going to give merits for further study of the problems.
Study of Optical, Electrophotographic and Holographic Parameters of As-Se Condensates from the Prehistory of the Original Bulk Materials
Authors: Utamuradova Sharifa B. , Azamatov Zakirjan T. , Popov A.I. , Bekchanova Mira R. , Yuldoshev Murodjon A. , Bakhromov Abror B.
Published: November 2024

The results of a study of the optical, electrophotographic and holographic parameters of As-Se condensates from the prehistory of the original bulk materials are presented. It has been established that the electrophotographic parameters of freshly deposited As40Se60 layers change significantly with temperature; the dependences of the maximum charging potential (U0) and the half-decay time of the potential (τ1/2) of electrophotographic As40Se60 layers in the dark on the processing temperature of the melt of the starting material are shown. The dependence of the half-life of the potential in the dark, as well as the properties of bulk samples, has an extremum in the region of Tsub~500°C. The correlation between the dependences of the properties of bulk samples and the electrophotographic parameters of the layers on Tsub indicates that the structural features of the source material in the deposition mode used affect the structure of the films.
Influence of Mixing Valence Band States to the Conduction Band States on Two-Quantum Linear-Circular Dicroism in Semiconductors
Authors: Rasulov Rustam Y. , Rasulov Voxob R. , Kodirov Nurillo U. , Nasirov Mardon Kh. , Eshboltaev Ikbol M.
Published: November 2024

A quantitative theory of two-photon linear-circular dichroism caused between the subbands of light and heavy holes of the valence band and conduction band is constructed, which takes into account the admixture of valence band states to the conduction band states and the temperature dependence of the band gap (Eg(T)) in semiconductors of tetrahedral symmetry in the multiband Kane model. It is shown that the type of oscillatory angular dependence or the amplitude values of the probabilities of two-photon optical transitions depend on the state of light polarization. This is due to the fact that, under the influence of linearly polarized light, alignment along the pulse occurs, and under the action of circularly polarized light, the moments of current carriers are oriented. It has been determined that the probability of two-photon optical transitions from the heavy hole subband to the conduction band of semiconductors at a fixed temperature increases with increasing frequency, passes through a maximum, and sharply decreases regardless of the degree of polarization of light, as well as the band gap.
Effect of Heating of Charge Carriers and Phonons on The Contact Resistance of Rectifying Metal-Semiconductor Structures
Authors: Gulyamov Gafur , Umarov K.B. , Soliyev Alisher Z.
Published: November 2024

The dependence of the temperature of charge carriers and phonons on the contact resistance of the Schottky diode is calculated. It is shown that the increase in contact resistance depends on the current passing through the diode, the surface and volume heat transfer coefficients of electrons and phonons, barrier height, the dimensions of the diode, as well as scattering mechanisms, relaxation time of energy and momentum.
Silicon p-i-n Mesa-Photodiode Technology
Authors: Kukurudziak Mykola S. , Lipka Volodymyr M. , Ryukhtin Vyacheslav V.
Published: November 2024

The paper proposes the technology of silicon p-i-n mesa-photodiodes, which allows to exclude one high-temperature operation from the technological route. Reducing the number of thermal operations reduces the degree of degradation of the electro-physical characteristics of silicon during heat treatment, which also contributes to reducing the density of surface states at the SiSiO2 interface. It is proposed to etch the mesa-profile by the method of chemical-dynamic polishing using a gold masking coating. The obtained photodiodes are cheaper than serial samples made by diffusion-planar technology and have higher sensitivity.
Erratum: Electrıc Fıeld Enhancement by Gold Nano-Sphere and Its Clusters [East European Journal of Physics, 2, 388-393 (2024)]
Authors: Kushwaha P.K. , Singh K.Y. , Mahor H.S. , Singh P.K. , Sharma Ravish , Sharma K.D.
Published: November 2024

The purpose of this Erratum is to correct a misprint presented in the original article.
Clustering and Classification of Time Series Sound Data
Authors: Stanislav Kachanov  , Dmytro Vlasenko
Published: November 2024

This scientific article addresses two critical tasks in data analysis—time series classification and clustering, particularly focusing on heart sound recordings. One of the main challenges in analyzing time series lies in the difficulty of comparing different series due to their variability in length, shape, and amplitude. Various algorithms were employed to tackle these tasks, including the Long Short-Term Memory (LSTM), KNN, recurrent neural network for classification and the K-means and DBSCAN methods for clustering. The study emphasizes the effectiveness of these methods in solving classification and clustering problems involving time series data containing heart sound recordings. The results indicate that LSTM is a powerful tool for time series classification due to its ability to retain contextual information over time. In contrast, KNN demonstrated high accuracy and speed in classification, though its limitations became apparent with larger datasets. For clustering tasks, the K-means method proved to be more effective than DBSCAN, showing higher clustering quality based on metrics such as silhouette score, Rand score, and others. The data used in this research were obtained from the UCR Time Series Archive, which includes heart sound recordings from various categories: normal sounds, murmurs, additional heart sounds, artifacts, and extra systolic rhythms. The analysis of results demonstrated that the chosen classification and clustering methods could be effectively used for diagnosing heart diseases. Furthermore, this research opens up new opportunities for further improvement in data processing and analysis methods, particularly in developing new medical diagnostic tools. Thus, this work illustrates the effectiveness of machine learning algorithms for time series analysis and their significance in improving cardiovascular disease diagnosis.
Digital transformation of the global economy: challenges and opportunities
Authors: Suntsova Olesia
Published: November 2024

The world is going through a revolution, the emergence of digital and its impact on our planet. By Christine Moorman Researchers examine the challenges and opportunities of how to digitize a tradition-bound, offline industry. The research highlights key factors propelling this transition; ranging from technological and legal advances to societal impacts. Other subjects covered in the study include potential cyber threats and data privacy risks as well as what digitalization means for different industries, from manufacturing to services and finance. These findings suggest that while digital transformation promises significant opportunities for innovation and economic growth, it also requires comprehensive policy approaches to reduce associated risks and ensure inclusive development.
The aim of this article is to investigate the challenges and opportunities posed by the transition in global economy from analogical towards digital. The global economy is undergoing a radical transformation thanks to digital technologies. These tectonic shifts kindle an array of opportunities and challenges that we discuss in this article. Highlighting key factors behind this transformation — technology, legal frameworks and socioeconomic considerations — the study takes a deep dive into how blockchain can allow farmers to capture premium prices while ensuring traceability of genuine produce.
The research looks at the potential dangers linked to cybersecurity and privacy, while it also studies how digitilization impacts sectors including manufacturing, services and finance. The findings show that while digital transformation provides considerable opportunities for innovation and economic growth, it also requires comprehensive strategies to mitigate associated risks and ensure inclusive development. This article is written as to observe the titled paradigm shift of global economy with Digitalisation, and changes it brings about in form of opportunities & challenges.
The findings show that digital transformation is a two-edged sword: it provides significant opportunities for economic growth, innovation, and the creation of new business models like digital platforms and the gig economy. However, it presents significant challenges, particularly in terms of cybersecurity and data privacy. The increasing frequency and sophistication of cyberattacks pose serious threats to businesses and governments, while concerns over data privacy necessitate the development of strong regulatory frameworks.
Research on Age-Friendly Renewal Design of Community Parks Based on Elderly Participatory Construction: A Case Study of Xinmenkou Community Park Renewal
Authors: Sun Lijuan , Guo Shuoshuo , Guo Jin , Xin Haiming
Published: November 2024

Age-friendly design embodies a pivotal urban development endeavor in addressing the aging society during China’s urban renewal era. Among the key components of this renewal process, community parks occupy a prominent position, and their adaptation to cater to the older population stands as a significant area of research and development. Drawing upon an analysis of the characteristics and requirements of the senior population, along with factors influencing their participatory construction of community parks, this study proposes methodologies for elderly-involved construction activities encompassing design, planting, maintenance, and activity participation. Capitalizing on a user-centric approach, the study targets three primary aspects—space, facilities, and activities—to proceed with an age-friendly renovation for the Xinmenkou Community Park in Gulou District, Nanjing, China. By introducing tailored zones such as a self-created space zone, a planting experience zone, a voluntary maintenance zone, and an activity participation zone, the design aims to fulfill the aspirations of older residents for the participatory construction of community parks. This innovative scheme revitalizes aging urban communities and presents a fresh perspective for urban renewal strategies.
La cibercandidatura política de la inteligencia artificial y su impacto en los sistemas democráticos de los Estados
Authors: Almache-Barreiro Juan Carlos , Albert-Márquez José J.
Published: November 2024

Con este documento, se analiza el proyecto jurídico que apunta hacia una eventual tecnocracia algorítmica en un escenario futuro donde las decisiones estatales se vean influidas por la inteligencia artificial (IA), siendo necesario destacar la importancia de un riguroso control que abarque desde la autoevaluación de esta revolución tecnológica en sus procesos de toma de decisiones hasta una auditoría humana de la programación operativa empleada en la construcción de sus algoritmos. El análisis se centra en evaluar cómo esta transformación podría afectar a los sistemas democráticos estatales, garantizando que se mantenga un equilibrio entre la eficiencia de la IA y la integridad democrática, lo que preserva los valores fundamentales de la sociedad. La metodología que he seguido en la elaboración de este trabajo está basada en la aplicación del método histórico (bibliográfico), análisis lógico (desarrollo del tema) y análisis jurídico-comparado (internacional), que permitieron articular los diversos enfoques de los derechos de la humanidad en el concepto de los «cibercandidatos». Como se podrá constatar, en la actualidad, todavía existen desajustes entre el funcionamiento —de carácter autónomo— de la IA y la normativa existente. Esta realidad está condicionando la eventual confianza de los ciudadanos ante un gobierno digital.
Migración, desarrollo y condicionalidad: marcos políticos y narrativos
Authors: Delkáder-Palacios Augusto
Published: November 2024

Este estudio tiene por objeto ofrecer una mejor comprensión conceptual sobre la relación entre la migración y el desarrollo. Para ello, analizaremos el framing[1] de la migración como elemento central de los enfoques y las políticas sobre migración y desarrollo. Identificaremos tres marcos donde se encuadra la migración, que derivan en tres enfoques o marcos políticos sobre migración y desarrollo: el «enfoque restrictivo», el «enfoque selectivo» y el «enfoque expansivo». Pondremos el foco en las motivaciones y efectos políticos que tienen estos enfoques sobre migración y desarrollo y, particularmente, en lo relativo a la condicionalidad migratoria. Finalmente, situaremos el análisis en el caso de la Unión Europea.
[1]      En castellano puede traducirse como «encuadre» o «enmarcado», en referencia al proceso por el que un fenómeno es ubicado dentro de un marco o esquema de interpretación, con el objetivo de influir en la percepción de dicho fenómeno...
Evaluación de impactos ambientales de la instalación, funcionamiento y desmantelamiento de un parque fotovoltaico en La Guajira colombiana
Authors: Guerrero-Martin Laura Estefanía , Guerrero-Martin Camilo Andrés , Camacho-Galindo Leidy Stefanny
Published: November 2024

Las energías renovables son una opción prometedora para la producción de energía, debido a su sostenibilidad y capacidad para reducir las emisiones de gases de efecto invernadero. Aunque ofrecen ventajas significativas, como ser recursos inagotables y de bajo impacto climático, su adopción se enfrenta a desafíos ambientales y sociales. La fabricación, instalación, operación y desmantelamiento de tecnologías como los paneles solares pueden generar residuos y alterar ecosistemas. Por lo tanto, es esencial realizar evaluaciones ambientales integrales en todas las etapas de los proyectos de energía renovable, considerando variables del impacto, como la «intensidad», la «extensión» y la «recuperabilidad» del impacto. En el presente artículo, se realiza una evaluación ambiental de un parque solar en La Guajira (Colombia) con la metodología propuesta por Vicente Conesa y se realiza un análisis de posibles medidas de manejo ambiental que minimicen los impactos negativos, lo que garantiza que el desarrollo de estos proyectos sea sostenible y respetuoso.
La integración de la Agenda 2030 en la política turística: el caso de España
Authors: Gómez-Bruna Diana , Millán-Acevedo Natalia , Velasco-González María
Published: November 2024

Desde hace años, la sostenibilidad es uno de los grandes retos de la política turística. En este contexto, la Agenda 2030 puede convertirse en una importante herramienta para trabajar en el progreso hacia la sostenibilidad del sector turístico por tratarse de una agenda integral y transversal, que incluye las esferas económica, social y medioambiental desde una perspectiva indivisible. Con el presente artículo, se tiene como objetivo analizar la integración de la Agenda 2030 en la política turística española. Para ello se utiliza la metodología cualitativa a través de la técnica de análisis de contenido de los documentos rectores de esta política sectorial en España. Se abordan tres dimensiones de análisis: problemas, valores y Objetivos de Desarrollo Sostenible (ODS). Los resultados muestran que, a pesar de que la política turística española incorpora algunas cuestiones clave de la Agenda 2030, tiene un mayor enfoque hacia las dimensiones económica y medioambiental mientras que la dimensión social se incorpora de una manera más limitada. Estos hallazgos muestran que la política turística tiene sus propios intereses y lógicas desde los cuales abordar cada una de las dimensiones de la sostenibilidad.
The rise and fall of the Bank of the South: challenges in Latin American post-neoliberal regionalism
Authors: Nogara Tiago Soares
Published: November 2024

In the early 21st century, the rise of left-wing administrations in South America bolstered regional frameworks. The proposal to establish a new regional financial architecture materialized as the Bank of the South, formalizing its Constitutive Treaty in 2009. Despite this, the Bank remains uncapitalized. This study examines its rise and decline, addressing factors behind its establishment; the impact of divergent regional approaches by Brazil, Argentina, and Venezuela, and the reasons for its decline in the second decade of the 21st century. The research attributes the Bank’s demise not only to the crisis in post-neoliberal regionalism but also to internal disagreements among proponents. Drawing on a thorough literature review, primary source analysis from the Bank, and insights from policymakers’ memoirs, this research provides a nuanced understanding of the Bank of the South’s trajectory.
Adolescent reproductive health care services: knowledge, perspectives, and challenges among service providers in Makurdi, Benue State Nigeria
Authors: Ngobua Samuel J. , Omuemu Vivian O. , Ande Adedapo B.A. , Olaleye Oladipupo S. , Awunor Nyemike S. , Ieren Igbaver I.
Published: November 2024

Adolescence is a phase of life characterized by several reproductive health challenges that require support to navigate. However, access to adolescent and youth-friendly health service (AYFHS) centers to provide this support is limited. Perspective of healthcare workers (HCW) towards understanding the challenges to service provision has not been systematically documented. This study therefore documents the perspectives of HCWs on the types of services accessed by adolescents, and associated challenges in Makurdi, Benue State, Nigeria. The facility-based descriptive qualitative study used an in-depth interview guide among program officers in the 11 youth-friendly health centers. The interviews were recorded, transcribed, and analyzed thematically. The provision of HIV prevention services and AYFHS was appropriate while adolescents have preferences for facilities where their confidentiality is protected, and other needs are met. Reported challenges were lack of privacy, high cost of transportation to facilities, high staff attrition, poor awareness of the facilities and services, and parental consent. Suggestions for improvement included prolonged retention of youth-friendly trained staff, better client confidentiality, and economic empowerment of the adolescents to access services when needed. While the providers’ perspective on AYFHS for adolescents was positive, related challenges were also identified. Government and other stakeholders should collaborate to ensure the right environment for accessibility and utilization of AYFHS.
Are attitudes towards infertility associated with gender perception?
Authors: Parlan Hasret , Mamuk Rojjin
Published: November 2024

Infertility is not life-threatening but is nevertheless an important problem that threatens a couple’s wellbeing due to its negative impact on their emotional health and quality of life. This descriptive, correlational study aimed to determine the relationship between university students’ attitudes towards infertility and their gender perceptions. The study was conducted in a state university with a total of 602 students. Data were collected using a personal information form, the Attitude Toward Infertility Scale (ATIS), and the Gender Perception Scale (GPS). The scales have no cut-off value and higher scores indicating positive perception of gender and infertility. The study data were evaluated with Spearman’s correlation analysis and simple linear regression analysis test was used to analyze the association between GPS and ATIS scores and also the statistical significance was accepted as p<0.05. As a result 63.1% of the students were female; 80.9% had knowledge about infertility and gender inequality. The students’ mean GPS and ATIS scores were 104.60±15.54 (range: 52-125) and 49.11±7.62 (range: 19-60), respectively. GPS and ATIS scores were positively associated in linear regression analysis (β=0.30; p<0.001) and correlation analysis (rho:0.590; p<0.001). The results of this study showed that university students had positive gender perception and attitudes toward infertility. In addition, students’ attitudes toward infertility were directly associated with the modifiable factor of gender perception.
The contribution of vocabulary breadth and depth to narrative writing ability: A partial least squares structural equation modelling approach
Authors: Agrram Abdelaziz , Mokhtari Najat , Laaboudi Daouia
Published: November 2024

Despite the well-established role of lexis in proficiency in the four skills, a great deal of research has focused on the importance of vocabulary breadth and depth in reading. Therefore, the neglect of productive skills has motivated recent calls to inspect the impact of lexical dimensions on writing ability. Using Partial Least Squares Structural Equation Modelling (PLS SEM), this study examines the contributions of vocabulary breadth and depth aspects to EFL learners’ narrative writing ability. For this purpose, the researchers administered the Updated Vocabulary Levels Test (the UVLT), the Productive Vocabulary Levels Test (the PVLT), the Word Associates Test (the WAT), and a narrative writing task to 77 EFL undergraduate students. The participants’ scripts were scored, following IELTS analytical band descriptors. Results of the PLS SEM disclosed that vocabulary size and depth explained around 45% of the variance in the writing scores of the subjects. They also revealed that, among the variables examined, receptive vocabulary size was the only statistically significant factor that contributed the most to writing ability. The implications for writing assessment and instruction are discussed.
Media Sosial Instagram Influencer Adnan Abdillah sebagai Media Promosi Brand Fashion
Authors: Nisrina Shypa , Detya Wiryany  , Ahmad Taufiq Maulana Ramdan,
Published: November 2024

This research aims to educate social media users to be positive if used properly and correctly, by following the current fashion developments can produce useful ones, current technology is developing more rapidly can provide information with various purposes such as exchanging information, people are able to interact without the need for face-to-face. Currently, social media is not only exchanging information but can be used as a marketing tool, advertising in social media is widely used today. Because of this, influencers have emerged, namely social media users with a large number of followers or followers, not all can be called influencers, only some people who have uniqueness in creating content or posting unique things, as nowadays most influencers create content using unique and trendy fashion to attract the attention of their followers.
Automação e inteligência artificial na transformação da logística
Authors:   , Tiago Helbert Carvalho
Published: November 2024

Esta pesquisa se justifica pela crescente relevância das tecnologias avançadas, especialmente a inteligência artificial, no setor de logística. Em um mercado cada vez mais competitivo, a eficiência operacional tornou-se um diferencial crucial para as empresas. A capacidade de otimizar processos, reduzir custos e aumentar a satisfação dos clientes pode determinar o sucesso ou fracasso de uma transportadora.
A inteligência artificial, em particular, oferece um potencial significativo para transformar a gestão logística. Com o uso de modelos de machine learning, as empresas podem analisar grandes volumes de dados em tempo real, prever tendências e tomar decisões mais informadas e precisas. Este estudo de caso demonstra como a implementação de tecnologias de machine learning pode resolver desafios comuns no setor, como a otimização de rotas, resultando em economias substanciais e melhorias operacionais.
Além disso, a pesquisa sobre este tema é de grande importância para o desenvolvimento acadêmico e profissional na área de logística. Proporciona uma compreensão mais profunda de como as inovações tecnológicas podem ser aplicadas na prática, oferecendo pontos valiosos para gestores e profissionais do setor. A disseminação de conhecimento sobre casos bem-sucedidos de implementação tecnológica pode incentivar outras empresas a adotar soluções semelhantes, promovendo a modernização e eficiência em todo o setor logístico.
A relevância do tema também se estende ao impacto ambiental. A otimização das rotas de transporte não só reduz os custos operacionais, mas também diminui o consumo de combustível e, consequentemente, a emissão de gases poluentes. Assim, a aplicação de tecnologias de machine learning na gestão logística contribui para práticas mais sustentáveis, alinhando-se com a crescente demanda por responsabilidade ambiental nas operações empresariais.
Por fim, a escolha deste tema reflete a necessidade de inovação contínua em um mundo em constante evolução. A logística é um dos setores mais impactados pelas mudanças tecnológicas, e a capacidade de adaptação é essencial para a sobrevivência e prosperidade das empresas. Investigar e compreender como a inteligência artificial pode ser aplicada eficazmente na gestão logística fornece um caminho claro para o futuro, destacando a importância de se manter na vanguarda da inovação tecnológica.
Vozes do Amanhã
Authors: Fialho Ana Clara Alves , Duarte Estela Guther , Zanetti Giovanna Pareira , Scalabrin Gustavo , Pereira Joana Hoss Haques , Ramos João Vitor , Cordeiro Júlia Letícia Martins , Silveira Laíza Casaril da , Melo Luísa Ananda , Jorge Marina Morales Nogueira , Mata Otávio Kich , Pires Otávio Péres
Published: November 2024

Em sua sétima edição, o UFSCMUN se reinventa ao trazer um secretariado inteiramente feminino, reafirmando seu compromisso com a representatividade e o protagonismo feminino no cenário internacional. Sob o lema “Vozes do Amanhã”, o projeto convida os participantes a refletirem sobre o futuro através da juventude, da inovação e da esperança, inspirando-se na citação de Edmund Burke: “Um povo que não conhece sua História está fadado a repeti-la”.

Nesta edição, o UFSCMUN aborda questões globais urgentes e complexas, desde a crise humanitária enfrentada por mulheres e crianças refugiadas, debatida no Alto-comissariado das Nações Unidas para Refugiados, até a violência persistente na República Democrática do Congo, analisada no Conselho de Segurança. Além disso, a Comissão Econômica para América Latina e Caribe explora as soluções para o subdesenvolvimento e a busca por cooperação e independência na região.

Com espaço também para a imprensa internacional, o livro destaca o papel do diálogo e da diplomacia na construção de um futuro mais inclusivo e humanizado. "UFSCMUN VII: Vozes do Amanhã" é uma obra que celebra o poder das novas gerações de líderes em moldar um mundo melhor, valorizando o passado e inspirando o futuro.
CEPAL - Soluções para o subdesenvolvimento na América Latina e Caribe: cooperação e independência.
Authors: Duarte Estela Guther , Ramos João Vitor , Cordeiro Júlia Letícia Martins
Published: November 2024

A inserção da América Latina e Caribe na economia internacional, a perspectiva da Comissão Econômica para América Latina e as características do desenvolvimento na região.
Sobre as palavras da fala romana
Authors: Moniz Fábio Frohwein de Salles , Sartorelli Elaine Cristine
Published: November 2024

"Será que os romanos falavam mesmo latim?". Essa pergunta instigante é o ponto de partida de Sobre as palavras da fala romana, de Flavio Biondo, obra traduzida e comentada por Fábio Frohwein de Salles Moniz, com apresentação de Elaine Cristine Sartorelli. Este livro oferece uma imersão nos debates entre os humanistas do Renascimento sobre a língua dos romanos: eles realmente usavam o latim no dia a dia, ou o idioma era reservado apenas para textos literários? Biondo nos guia por essa controvérsia histórica, revelando os argumentos de importantes humanistas do Quattrocento como Leonardo Bruni, Poggio Bracciolini, Antonio Loschi entre outros, que questionavam até que ponto o latim era acessível ao povo. Com uma tradução fiel e enriquecida por notas, esta obra não só resgata a discussão sobre a natureza do latim, mas também nos convida a refletir sobre a linguagem e a cultura da Roma antiga. Se você é fascinado por história, linguística ou simplesmente curioso sobre os mistérios do passado, Sobre as palavras da fala romana vai despertar novas perspectivas.
POLÍTICAS EDUCACIONAIS PRÁTICAS CURRICULARES E ORGANIZACIONAIS coleção educação em debate - Volume 5
Authors: Fritsch Rosângela
Published: November 2024

A obra que aqui apresento representa a concretização de uma proposta de produção de conhecimento que foi elaborada a partir do projeto de pesquisa intitulado Políticas curriculares e práticas curriculares e organizacionais em escolas públicas na perspectiva da justiça social e curricular coordenado pela professora Rosângela Fritsch, financiado pela Fundação de Amparo à Pesquisa no Rio Grande do Sul – FAPERGS e pelo Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq. Integra a Coleção EDUCAÇÃO EM DEBATE, e dá sequência ao esforço investigativo que já colocou em circulação quatro outros volumes que a este precederam. Essa proposta foi assumida de forma coletiva, pelo Grupo de Pesquisa Políticas Públicas e Gestão Educacional/Escolar, coordenado pela professora Rosângela Fritsch.
O projeto intitulado Políticas curriculares e práticas curriculares e organizacionais em escolas públicas na perspectiva da justiça social e curricular tem como temática as práticas curriculares e organizacionais, as implicações com políticas educacionais na perspectiva da justiça social e curricular. Este projeto de pesquisa é complementar à pesquisa que também foi executada pela professora Rosângela Fritsch, intitulada Evasão Escolar, Gestão e Formação de Recursos Humanos em Escolas Públicas de Ensino Médio no Município de São Leopoldo-RS/Brasil. Este projeto, sua vez, é decorrente de um percurso de pesquisa que teve como culminância a experiência do estágio de pós-doutorado no campo das políticas educacionais, realizado na Faculdade de Psicologia e Ciências da Educação na Universidade do Porto, em Portugal.
FÓRUNS EDUCACIONAIS TERRITORIAIS E AS PRIMEIRAS CONTRIBUIÇÕES DO CAII – REDHUMANI PARA A EDUCAÇÃO DE SÃO LEOPOLDO
Authors: Grohe Sandra Lilian Silveira , Silva Rodrigo Manoel Dias da
Published: November 2024

O presente capítulo pretende apresentar as contribuições polí
ticas e metodológicas dos Fóruns Educacionais Territoriais, instituídos
no contexto de emergência do Comitê Articulador Intersetorial e In
terinstitucional – CAII REDHUMANI, a partir de um relato siste
matizado da experiência da Rede Brasileira por Instituições Educativas
Socialmente Justas e Aldeias, Campos e Cidades que Educam no muni
cípio de São Leopoldo, Rio Grande do Sul.
EDUCAÇÃO AMBIENTAL CRÍTICA: O OLHAR DE ESTUDANTES DO ENSINO MÉDIO DA REDE PÚBLICA ESTADUAL NA CIDADE DE SÃO LEOPOLDO/RS
Authors: Flores Brenda , Malonn Carina , Mira Ane Patrícia de
Published: November 2024

A crise ambiental, originada pela dinâmica de exploração que
se instaurou na relação entre seres humanos e natureza, passou a ser
amplamente discutida a partir da década de 1970, predominantemen
te associada à poluição e à possibilidade de esgotamento de recursos,
enquanto seus aspectos sociais, políticos e éticos recebem pouco ou ne
nhum destaque (Brügger, 2004; Gutiérrez; Prado, 2013).
“HOJE É DIA DE EA! O ESPAÇO DE APRENDIZAGEM COMO AMBIENTE DE MÚLTIPLAS APRENDIZAGENS”: UMA PROPOSTA DA PESQUISA
Authors: Amaral Cristiane dos Santos , Stadtlober Cláudia de Salles
Published: November 2024

O presente texto traz elementos do projeto de pesquisa de disser
tação vinculado ao Programa de Pós-graduação em Nível de Mestrado
Profissional em Gestão Educacional pela Universidade do Vale do Rio
dos Sinos (Unisinos). A autora desenvolve seus estudos sobre o Espaço
de Aprendizagem, um projeto educacional que atende crianças e adoles
centes que apresentam dificuldades na aprendizagem e na alfabetização
do ensino fundamental na rede municipal de ensino. Esta pesquisa busca
conhecer como as ferramentas e estratégias utilizadas no cotidiano do
Espaço de Aprendizagem contribuem para a aprendizagem dos alunos.
Mapping of Indigenous Knowledge Research in India: A Review of Growth, Emerging Topics and Future Research Directions based on Scientometric Tools
Authors: Basumatary Bwsrang , Robin K , Arvind  , Verma Manoj Kumar
Published: November 2024

The study of indigenous knowledge in India has evolved over the years and gained significant importance as a vital area of research. This study aimed to explore the evolution of the research landscape on indigenous knowledge in India over the last twenty years (2003-2022), focusing on growth trends and knowledge mapping through Scientometric tools. The study collected 1,980 data from the Scopus database, indexed between 2003 and 2022. Initially, the analysis focused on measuring the research growth and performance of the key players. Then, the study performed scientific knowledge mapping, visualizing the relationships between different concepts and topics within the field. The findings reveal a significant growth in indigenous knowledge research in India. The study also identified key research themes, including traditional medicine, agriculture, biodiversity conservation, etc. In the early two decades, research was conducted on natural resource management, ethnoveterinary practices, ethnomedicine, biodiversity, tribal communities, and traditional healers, etc. The most recent research topics were COVID-19, sustainability, livelihood, ethnopharmacology, climate change, herbal drugs, etc. Research on medicinal plants and ethnobotany was the most influential in the last two decades. Furthermore, the study revealed a highly interconnected network of authors and institutions, with a few key players dominating the field. The study concludes by highlighting the need for further research on indigenous knowledge in India, particularly in areas such as intellectual property rights, geographical identification, preservation, and the role of indigenous knowledge in sustainable development.
Prediction of malnutrition using combined index of different nutritional parameters in elderly home care patients
Authors: Adıgüzel Emre , Acar-Tek Nilüfer
Published: November 2024

Aim: This descriptive and cross-sectional study was conducted to assess nutritional status in elderly home care patients using a combined index.

Methods: The combined index was calculated as a reference tool based on the results of five nutritional parameters (Mini Nutritional Assessment-Short Form [MNA-SF], Short Nutritional Assessment Questionnaire [SNAQ], body mass index, dietary energy, and dietary protein). If a patient was assessed as malnourished or undernourished in at least three of these five parameters, he/she was considered as “any stage of malnutrition” according to the combined index.

Results: The prevalence of malnutrition was 48.6%, 28.3%, and 47.4% according to the MNA-SF, SNAQ, and combined index, respectively. Dietary energy had the best sensitivity (92.7%) and negative predictive value (91.3%), while SNAQ had the highest specificity (100.0%) and positive predictive value (100.0%) according to the combined index. MNA-SF had the highest inter-rater agreement (kappa [κ]) with the combined index (κ =0.792).

Conclusions: The use of combined index based on both screening tools and other nutritional parameters could be effective in the diagnosis of malnutrition in elderly home care patients.
Understanding water, sanitation, and hygiene situation through participatory appraisal in urban slum of Dhaka City
Authors: Farzana Fahmida Dil , Hossain Daluwar , Rahman Mahfuzur , Nahar Quamrun , Arifeen Shams El , Ahmed Tahmeed , Mahfuz Mustafa
Published: November 2024

Water, sanitation, and hygiene (WASH) is an imperative issue for infection prevention, and disease control. To understand the existing resources, and WASH situation, a participatory appraisal was conducted at Bauniabadh slum, Mirpur, Dhaka, Bangladesh from February-March 2022, and June-July 2023. Social mapping, transect walk, and informal discussion were conducted to identify available resources in the community for maintaining WASH, and also understand the challenges related to these; explore the surrounding cleanliness, waste disposal, and drainage system. Most of the households (HHs) fetched water from the nearest supply stations. Few families did not treat drinking water for purification; the gas flow was not sufficient to boil drinking water most of the time. A number of HHs did not clean their water reservoirs regularly, resulting in odor in supplied water. Regular garbage removal system was absent. WASH being a communal issue in slum setting, community engagement for WASH management is strongly recommended.
Differentiation complex sputum microbiome in patients suspected TB pulmonary
Authors: Kusumaningrum Deby , Mertaniasih Ni Made , Soedarsono Soedarsono , Pratama Rahadian
Published: November 2024

Purpose: This is the first study to attempt microbiome diversity using metagenomic full-length 16S rRNA from respiratory specimens suspected of chronic pulmonary TB patients.

Materials and methods: A 33 patients with suspected chronic pulmonary TB were included. Sputum specimens were cultured to detect mycobacterium sp. and extracted using QiAmp DNA mini kit modification and 16S rRNA metagenomic sequencing by nanopore grid ion sequencer. Microbiome analysis was performed using Pavian and Krona tools.

Results: 9 patients were diagnosed with TB based on GeneXpert MTB/RIF assay, and 3 patients were detected with NTM pulmonary infection.The common genera identified from TB culture positive patients were streptococcus sp., prevotella sp., and veilonella sp. However, less was detected in two NTM infection patients. Metagenomic analysis revealed community bacteria species, including mycobacterium tuberculosis and NTM species, with the lowest number of unique reads. The abundance of streptococcus sp. were less than 30% in 4 patient with comorbid diabetes mellitus.

Conclusions: Metagenomic targeted 16SrRNA full-length sequencing in the clinical respiratory specimen can provide diagnostic insight beyond standard microbiologic cultures and detailed profiling of microbial communities at the species level.
From theory to practice: A case study and ethnographic exploration of translanguaging strategies in second language academic writing
Authors: Samar Elemam  , Laurentia Sumarni
Published: November 2024

This paper examines the intersection of case study and ethnographic research methodologies within the field of Applied Linguistics, focusing specifically on the investigation of translanguaging practices in academic writing. The paper explores the theoretical underpinnings and practical applications of these qualitative research methods, highlighting their key characteristics, benefits, and challenges. By reviewing exemplary studies, the paper aims to demonstrate the strengths and complexities of these methodologies in understanding the diverse language practices of multilingual learners in educational settings. It concludes by reflecting on the potential of these research approaches to inform the development of inclusive and effective teaching practices for diverse student populations in a globalized world.
Challenges affecting public participation in environmental impact assessment in Sri Lanka
Authors: I.A.P. Nirmani
Published: November 2024

Environmental impact assessment (EIA), as a policy procedure, proved capable of promoting sustainable development by reducing or eliminating the adverse effects of development projects. Encouraging public involvement in the Environmental Impact Assessment (EIA) process is crucial for promoting sustainable development, which is arguably the main purpose of the EIA. There are a number of challenges that prevent the public from participating meaningfully in the EIA process. The primary objective of this study is to identify the challenges when they come within the domain of public participation in Environmental Impact Assessment. The paper focuses on identifying the most severe challenges experienced in Sri Lanka. The study is conducted by employing a mixed-method approach. After in-depth interviews with selected key informants and a sample survey of 240 participants representing all 9 provinces of Sri Lanka. This sample is selected using a purposive sampling process. The study revealed a number of challenges, like limited access to information and language barriers, education level, cultural norms and gender roles, institutional support and transparency, lack of awareness and knowledge, and trust among community members in the community. Identified all 6 key challenges that have a significant impact and positive correlation towards public participation in Sri Lanka
A longitudinal analysis and projection of provincial murder trends in South Africa: Causation and spatiality (2022-2027)
Authors: Zimkhitha, F. Juqu
Published: November 2024

This article conducts a longitudinal analysis of provincial murder trends in South Africa, examining the socio-economic and spatial factors contributing to violence. It highlights how extreme income inequality, unemployment, and regional disparities drive high murder rates, with a notable concentration in provinces such as Gauteng, Eastern Cape, and Western Cape. Utilising secondary data from the South African Police Service, the study identifies key motives for murder, including interpersonal conflicts, robbery, and gang violence. Forecasting techniques were employed to project murder trends, emphasising the urgency of targeted interventions in high-risk areas. Recommendations include implementing community-specific policing, conflict resolution programs, and economic support initiatives to address root causes. This research contributes a predictive perspective on crime trends, advocating for data-driven approaches to enhance public safety and reduce violence across diverse socio-economic landscapes in South Africa.
Promotional influence, price, and product quality on the purchase decision of skincare products e-commerce in Indonesia
Authors: Khoirul Fuuad  , Reni Shinta Dewi  , Hari Susanta Nugraha
Published: November 2024

This study aims to determine the influence of promotion, price, and product quality partially or simultaneously on the purchase decision of Whitelab Skincare Sunscreen products. The population in this study is consumers of Whitelab Skincare Sunscreen products in Jakarta. The number of samples of 100 respondents used a non-random sampling technique with the purposive sampling method. Data collection was carried out using a questionnaire. The analysis method used in this study is multiple linear regression analysis with the help of the SPSS version 25.00 program. Testing the partial hypothesis using the T test and simultaneously using the F test. The results showed that partial promotion, price, and product quality had a positive and significant effect on the purchase decision of Whitelab Skincare Sunscreen products.
Modified lip repositioning for management excessive gingival display: A case report
Authors: Agung Krismariono  , Esi Yuniza Fitrina  , Indira Apriantika
Published: November 2024

Introduction: Excessive Gingival Display (EGD), commonly known as “gummy smile” is a condition in which the maxillary gingiva looks excessive (>2 mm) than normal when someone is smiling. This condition is considered aesthetically disturbing, affecting the patient's self-confidence and psychological state. The objective of this case report is to describe the stages of gingivectomy and modified lip repositioning for EGD reconstruction and attachment of the labial mucosa of the maxillary anterior region. Case Report: A 21-year-old male came with the main complaint of wanting to improve his smile which showed less attractive gums. The results of the examination obtained the presence of EGD and hypermobile upper lip so a combined surgical action was planned with gingivectomy and modified lip repositioning for EGD reconstruction and attachment of the labial mucosa of the maxillary anterior region. Case management: The first surgical procedure performed was gingivectomy. One month later, modified lip repositioning was performed. The patient was satisfied with the treatment results and at follow-up after 7 months there was no EGD when the patient smiled. Conclusion: Combined gingivectomy and modified lip repositioning surgery can be an alternative treatment to correct Excessive Gingival Display and provide satisfactory aesthetic results for patients
Potential biomarkers of the effectiveness of pathogenetic therapy of spinal muscular atrophy in adults
Authors: Muruzheva Z. M. , Absalyamova M. T. , Traktirov D. S. , Karpenko M. N.
Published: November 2024

The review summarizes and systematizes data on the prognostic significance of various biomarkers in determining the effectiveness of pathogenetic therapy for spinal muscular atrophy. The review includes a clinical case of a patient with type 3 spinal muscular atrophy. The case illustrates that a decrease in the level of heavy chains of neurofilaments in the cerebrospinal fluid of the patient during the use of pathogenetic therapy with nusinersen positively correlated with an improvement in motor function, assessed by standard functional scales.