bluuebunny/crossref_metadata_2025 huggingface dataset:
Análise da lateral alveolar l do inglês língua adicional: uma revisão bibliográfica/Analysis of the alveolar lateral l of English additional language: a literature review
Authors: De Souza Francisco Cesar , Barboza Clerton Luiz Felix
Published: February 2025

O artigo tem como objetivo geral analisar estudos sobre a produção da alveolar lateral do Inglês Língua Adicional (ILA). Baseado na visão de língua enquanto Sistema Adaptativo Complexo (Larsenfreeman, 1997) e na Teoria de Exemplares (Pierrehumbert, 2001; Bybee, 2001), buscaremos responder à pergunta-problema: de que maneira os aprendizes brasileiros de ILA realizam a lateral alveolar l no inglês de acordo com a literatura? Temos por hipótese que os aprendizes brasileiros de ILA básicos produzem de maneira não prototípica. O estudo trata-se de uma revisão bibliográfica de caráter qualitativo sobre a produção do alveolar lateral por aprendizes brasileiros de ILA. Dessa forma, selecionamos três pesquisas quantitativas sobre a produção do que discutimos os resultados. A partir dos resultados, confirmamos a hipótese básica do estudo, visto que aprendizes brasileiros de ILA tendem a realizar de forma não prototípica devido à influência das variáveis independentes investigadas. O artigo tem como objetivo analisar estudos sobre a produção da lateral alveolar l em inglês como língua adicional (EAL). Com base na visão da língua como um sistema adaptativo complexo (Larsen-freeman, 1997) e na Teoria Exemplar (Pierrehumbert, 2001; Bybee, 2001), buscamos responder à questão problema: como aprendizes brasileiros de EAL produzem a lateral alveolar l em inglês de acordo com a literatura? Nossa hipótese básica é que aprendizes brasileiros de EAL a produzem de forma não prototípica. O estudo é uma revisão bibliográfica qualitativa da produção da lateral alveolar l por aprendizes brasileiros de EAL. Assim, selecionamos três estudos quantitativos de pesquisa sobre a produção de l e discutimos os resultados. A partir dos resultados, confirmamos a hipótese básica do estudo, pois aprendizes brasileiros de EAL tendem a produzi-la de forma não prototípica devido à influência das variáveis independentes investigadas.
“Garota de Ipanema” e “The Girl from Rio”: Uma reflexão sobre língua, tradução e representações/“Girl from Ipanema” and “The Girl from Rio”: A reflection on language, translation and representations
Authors: Lima André Luiz Borges , Barros Silvia Helena Benchimol
Published: February 2025

Este estudo aborda a linguagem, a língua e o discurso na formação da identidade cultural, utilizando como corpus as músicas “Garota de Ipanema” e “The girl from Rio” (traduzida como “A garota do Rio”). A comparação dessas composições, por meio de uma tradução interlinguística, permite analisar o papel da língua e da linguagem na construção da identidade cultural ancoradas no discurso que projeta globalmente a imagem, por meio da tradução. O estudo se insere no âmbito dos Estudos da Tradução e dos Estudos Culturais e traz um recorte de uma pesquisa mais ampla sobre tradução cultural. Esta análise contribui para a compreensão das complexas interações entre a linguagem e a cultura e oferece insights sobre as transformações culturais no Brasil. O estudo envolve análise comparativa da tradução na perspectiva qualitativa e os referenciais teóricos Kristeva (1969), Fromkin e Rodman (1993), Azeredo (2022), Manhães (2015) e Hall (1996).Este estudo aborda as linguagens e o discurso na constituição da identidade cultural, tendo como corpus as canções “Garota de Ipanema” e “The girl from Rio” (traduzida como “A garota do Rio”). A comparação dessas canções, via tradução interlinguística, permite analisar o papel da linguagem na construção da identidade cultural, ancorada no discurso que projeta a imagem globalmente, por meio da tradução. O estudo se insere no escopo dos Estudos da Tradução e dos Estudos Culturais e fornece um recorte de uma pesquisa mais ampla sobre tradução cultural. Essa análise contribui para a compreensão das interações complexas entre língua e cultura e oferece insights sobre as transformações culturais no Brasil. O estudo envolve também a análise comparativa da tradução sob uma perspectiva qualitativa e os referenciais teóricos Kristeva (1969), Fromkin e Rodman (1993), Azeredo (2022), Manhães (2015) e Hall (1996).
O encontro da causa secreta: Machado de Assis em “Encontros na península”, de Milton Hatoum/The meeting of the secret cause: Machado de Assis in “Encounters on the peninsula”, by Milton Hatoum
Authors: De Brito Zilmara Soares
Published: February 2025

Fundamentado na pergunta que encerra o conto “Encontros na península”, de Milton Hatoum, o presente artigo tem por objetivo mostrar que tal texto literário faz inúmeras inferências, tanto em trechos do enredo, quanto à construção das personagens, com alguns contos de Machado de Assis, mormente o conto “A causa secreta”, proporcionando, portanto, uma análise comparativa. Para tanto, inicialmente, faz-se uma breve discussão sobre o conto na contemporaneidade, bem como a teoria de Piglia (2004), uma vez que a narrativa de Hatoum possui uma estrutura que não se delimita, mas se expande, revelando um enredo tão essencial quanto o que se mostra à princípio, seduzindo o leitor e conduzindo-o para um encontro com o bruxo do Cosme Velho. Para fundamentar tal análise, buscou-se expor alguns conceitos sobre o conto e sua imprecisão teórica (Gotlib, 2006; Gouveia, 2011; Silva, 2016), bem como a tese de Piglia (2004) e a literatura comparada assim como por Carvalhal (2006). Partindo da questão que encerra o conto “Encontros na península”, de Milton Hatoum, este artigo tem como objetivo mostrar que este texto literário faz inúmeras inferências, tanto em partes do enredo quanto na construção das personagens, com alguns contos de Machado de Assis, em especial o conto “A Causa Secreta”, proporcionando, portanto, uma análise comparativa. Para tanto, inicialmente, é feita uma breve discussão sobre o conto na contemporaneidade, bem como a teoria de Piglia (2004), uma vez que a narrativa de Hatoum possui uma estrutura que não se delimita, mas se expande, revelando um enredo tão essencial quanto o que se mostra em um primeiro momento, seduzindo o leitor e levando-o a um encontro com o bruxo do Cosme Velho. Para embasar essa análise, buscamos expor alguns conceitos sobre o conto e sua imprecisão teórica (Gotlib, 2006; Gouveia, 2011; Silva, 2016), bem como a tese de Piglia (2004) e a literatura comparada tal como entendida por Carvalhal (2006).
Intersemiotic translation and multimodality as commercial appeal: the case of Lola Cosmetics products labels/Tradução intersemiótica e multimodalidade como apelo comercial: o caso dos Rótulos de produtos cosméticos Lola
Authors: Gonzaga Adriana Nascimento , Barros Silvia Helena Benchimol
Published: February 2025

Este artigo constitui um relato resumido do meu trabalho final de graduação que abordou os produtos comerciais da marca Lola Cosmetics e seus nomes criativos – uma mensagem implícita que vai além da intenção puramente comercial. Uma conjunção de elementos multimodais trouxe à tona o sentido de tradução de uma forma peculiar, lidando com movimentos de transposição tanto intralinguísticos quanto intersemióticos. Os objetivos foram selecionar alguns desses produtos e analisar o uso da linguagem fazendo uma análise funcional da combinação de recursos verbais e imagéticos. As principais contribuições teóricas foram a visão de Gadamer sobre tradução como interpretação (2004), a visão tridimensional de tradução de Jakobson (1959); e o modelo funcional de Vermeer e Nord (2006). Este artigo constitui um relato resumido do meu trabalho final de graduação que abordou os produtos comerciais da marca Lola Cosmetics e seus nomes criativos – uma mensagem implícita que vai além da pura intenção comercial. Uma conjunção de elementos multimodais traz à tona o sentido de tradução de forma peculiar, lidando com movimentos de transposição intralinguísticos e intersemióticos. Os objetivos foram selecionar alguns desses produtos e analisar o uso da linguagem fazendo uma análise funcional da combinação de recursos verbais e imagéticos. As principais contribuições teóricas foram a visão da tradução como interpretação de Gadamer (2004), a visão tridimensional da tradução de Jakobson (1959); e o modelo funcional de Vermeer e Nord (2006).
Systematic literature review: Brazilian publications on language learning strategies in the last decade (2012-2022)/Revisão sistemática da literatura: publicações brasileiras sobre estratégias de aprendizagem de línguas na última década (2012-2022)
Authors: De Souza Feio Denise , De Souza Timmermann Rafael
Published: February 2025

Compreender o uso de estratégias de aprendizagem é crucial para tornar os alunos e futuros professores de língua estrangeira (LE) mais independentes e responsáveis por sua aprendizagem. Portanto, o objetivo geral deste estudo é mapear os conceitos de estratégias de aprendizagem de língua inglesa em publicações brasileiras da última década (2012-2022). A seleção dos artigos foi realizada por meio de revisão sistemática de literatura nas seguintes bases de dados: Periódicos CAPES, Scielo e Google Acadêmico. A busca ocorreu utilizando as palavras-chave: “Estratégias de aprendizagem”; “Inglês”; “Aprendizes de línguas”. Após as etapas de identificação, triagem e inclusão, oito artigos foram escolhidos como base para este trabalho. Os resultados foram analisados e indicam que as estratégias são essenciais para os alunos, seja na educação infantil, fundamental, médio ou graduação. Além disso, os resultados indicam que muitas estratégias se destacam como métodos positivos na aprendizagem de outra língua, e é por meio de experiências vividas pelos alunos que é possível aprender sobre essas estratégias.Compreender o uso de estratégias de aprendizagem é crucial para tornar os alunos e futuros docentes de Língua Estrangeira (LE) mais centralizados, independentes e responsáveis pela sua aprendizagem. Portanto, o objetivo geral deste estudo é mapear os conceitos de estratégias de aprendizagem de língua inglesa nas publicações brasileiras da última década (2012-2022). A seleção dos artigos foi realizada por meio de uma revisão sistemática de literatura nas seguintes bases de dados: Periódicos Capes, Scielo e Google Acadêmico. A busca ocorreu através das palavras-chave: “Estratégias de aprendizagem”; “Inglês”; “Aprendizes de língua". Após as etapas de identificação, triagem e inclusão 8 artigos foram escolhidos como base para este trabalho. Os resultados foram elaborados e apontam que as estratégias são essenciais para os alunos, seja no ensino infantil, fundamental, médio e graduação. Mais ainda, os resultados apontam que muitas estratégias se destacam como métodos positivos na aprendizagem de outra língua, e é através de experiências vivenciadas pelos alunos que é possível conhecê-las.
Linguagem, cultura e memória da Comunidade Quilombola de Boa Vista, na Ilha de Marajó/Pará/Language, culture and memory of the Quilombola Community of Boa Vista, on the Island of Marajó/Pará
Authors: Silva Junior Sebastiao Rodrigues da , Amador Nathalia Augusta Pereira
Published: February 2025

O presente estudo faz uma reflexão sobre os conceitos de cultura e memória, numa comunidade no interior da Amazônia. O estudo tem como lócus de referência a Comunidade Quilombola de Boa Vista, localizada no município de Salvaterra, na Ilha de Marajó, no Estado do Pará e o objetivo é analisar o universo cultural da comunidade por meio das memórias dos antigos. Neste estudo, a linguagem apresenta-se de forma relevante em suas diversas formas de manifestação, pois é ela o canal pelo qual se aciona a memória. Os procedimentos metodológicos se inserem na perspectiva qualitativa, a partir de entrevistas semiestruturadas, registros fotográficos e imagens cedidas pela própria comunidade.Este estudo reflete sobre os conceitos de linguagem, cultura e memória, em uma comunidade do interior da Amazônia. O lócus de referência do estudo é a Comunidade Quilombola da Boa Vista, localizada no município de Salvaterra, na Ilha do Marajó, no Estado do Pará, e o objetivo é analisar o universo cultural da comunidade por meio das memórias dos mais velhos mediadas pela linguagem. Neste estudo, a linguagem é relevante em suas diversas formas de manifestação, pois é o canal por meio do qual a memória é ativada. Os procedimentos metodológicos se inserem em uma perspectiva qualitativa, a partir de entrevistas semiestruturadas, registros fotográficos e imagens cedidas pela própria comunidade.
استخدام برنامج "العربية على الإنترنت" arabic.seu.edu.saلتعليم مهارة الاستماع في المدرسة الثانوية الإسلامية الحكومية الثالثة
Authors: Amalina Rabiyana , Arifin Ahmad , Hakim Arif Rahman
Published: February 2025

Mastering Arabic requires strong listening skills as a foundational element. The research problem is whether the use of an online Arabic program for teaching listening skills in grade X at MAN 3 Banjarmasin is effective. The objective of this study is to determine the effectiveness of using an online Arabic program for teaching listening skills in grade X at MAN 3 Banjarmasin. The research employs a quasi-experimental approach with Nonequivalent Control Group design, focusing on the effectiveness of the online Arabic program in enhancing listening skills among tenth-grade students at MAN 3 Banjarmasin. The findings indicate that the utilization of this program yields positive results, evidenced by the post-test average scores: 85.63 for the experimental class and 78.13 for the control class. With a Sig value of 0.002, which is less than 0.05, Ha is accepted, indicating that the online Arabic program is effective in teaching listening skills at MAN 3 Banjarmasin.
TOEFL Score of Tadris Chemistry Students at UIN Antasari in Achievement of CEFR Standard
Authors: Oktapianti Siska
Published: February 2025

This paper aims to explain the TOEFL score achieved by Tadris Chemistry students at UIN (State Islamic University) Antasari Banjarmasin towards achieving the CEFR (Common European Framework Reference) standard. The sample is 20 Tadris Chemistry Students for the Teaching of Chemistry Class, Odd Semester 2022/2023. The method used is descriptive method. The results show that of the 20 students taking the TOEFL, in  listening session , there are 6 people (30%) below the CEFR level and 14 people (70%) getting the A2 level. The results of the score obtained in structure and written expression from 20 students get the A2 level. The score results in this reading comprehension session, all participants get A2 level  so that 100% of students get A2 level. For the total TOEFL scores obtained from 20 students, the result obtained is in the range of 310-443 (A2 level according to the CEFR level standard).
The Development of Learning Applications on Linear Equations Using A Contextual Approach
Authors: Putri Desti Tatian , Susanti Susanti , Astuti Puji
Published: February 2025

This research is motivated by limited learning media development to support students' learning processes. This research uses a contextual approach to test the validity and practicality of learning applications on linear equation material. The research method used is Research and Development (R&D), especially the 4D development model. To collect data, researchers used validation questionnaires distributed to experts in material, media, and language, as well as practicality instruments given to educators and students. The validation results show that the learning application on linear equation material using a contextual approach is very valid. The media expert assessment was 93.33%, the material expert assessment was 93.33%, and the language expert assessment was 92%. Then, the results of the practicality percentage obtained practical information with an assessment of the practicality of educators of 81.80% and an assessment of the practicality of students of 83.15%. Based on the overall data analysis results, the learning application developed is feasible and can be implemented in the learning process.
Analysis of Mathematics Learning Difficulties in Material Greatest Common Factor Class VII
Authors: Muthmainnah M
Published: February 2025

In Class VII, some students still need help finding the most significant common factor of several numbers. This research aims to describe the difficulties experienced by students in finding the Greatest Common Factor (FPB) of several numbers. The subject of this research was 1 class VII student of SMPII Lukman Al-Hakim 02 Batam. The object of this research is the difficulty of learning mathematics in the Greatest Common Factor (FPB) material. The data collection technique in this research was conducting interviews, giving test questions, and documenting 1 class VII female student. Based on the interview results, it was clear that the student needed help working on the questions and understanding the FPB material. Apart from that, the test result showed that students were both in ordinary questions and stories; students are less able to do them, so they need repetition and learning to be done so that their understanding of the mathematics of the FPB material can be understood well. The difficulties were: (1) Students needed to correct their carrying out division calculation operations in FPB questions; (2) Students needed help concluding the final answers to FPB questions. This research implies that mathematics teachers must emphasize instilling the concept of FPB material, ensuring that students have mastered division arithmetic operations in solving FPB problems.
Science Problem-Solving Dynamics: Gender and Personality Type Analysis in Students
Authors: Sihombing Rizky Agassy , Wahidin Naufal Rabah , Rahmat Adi , Winarno Nanang , Hamdiyati Yanti , Karimi Amir
Published: February 2025

This study examines how problem-solving patterns in science among 9th-grade students correlate with different personality types based on Keirsey's classification: Idealist, Artisan, Guardian, and Rational. It employs the Investigation of Lived Experience methodology in Cognitive Psychology to delve into the internal experiences of 36 students from SMP Negeri 5 Bandung. The research explores gender distribution, school representation, and the prevalence of each personality type among the participants. Data collection methods include adapted questionnaires, written tests on earth and space science concepts, and follow-up interviews. These instruments are analyzed using the fixed comparison method to identify and understand distinct problem-solving tendencies associated with each personality type. Specifically, Idealists are found to prioritize understanding, Artisans employ intuitive-analogical approaches, Guardians rely on intuitive hypotheses, and rationalists utilize analogical reasoning. Overall, this study provides detailed insights into how personality types influence problem-solving strategies in science education. It suggests implications for personalized educational approaches tailored to individual student preferences and tendencies, aiming to enhance learning outcomes in 9th-grade science classrooms.
Teachers’ Language Assessment Literacy: Indonesian Secondary EFL Teachers’ Knowledge, Perspective, and Classroom Practice
Authors: Damayanti Fury Yulia , Setyaningsih Endang , Sumardi Sumardi
Published: February 2025

The primary objective of this study was to investigate secondary school EFL teachers' understanding, perspectives, and classroom practices regarding language assessment literacy. This research was conducted in three different backgrounds of schools. This study employed case study research and the theoritical framework of the Teachers Assessment Literacy Questionnaire (TALQ) proposed by Plake et al. The data was obtained by the questionnaire, interviews, and classroom observation, then analyzed using thematic analysis. The result showed that the teachers already had excellent knowledge and positive perspectives regarding assessment literacy. Their knowledge, perspective, and classroom practice involved a) the relevance between assessment method and instructional objectives, b) the development of assessment and management of learning outcomes, c) the benefits of assessment, d) the form of assessments, e) the ranking of assessments results f) unethical action in conducting assessment. This study might contribute to the teachers' carrying out assessments following standards, and educational institutions should be aware of the teachers' competency to increase teachers' competence and enthusiasm in carrying out better assessments.
Exploring The Rationality of Religious-Rational Islamic Thinkers Towards The Compatibility of The Islamic Education System
Authors: Karim Abdul Rahim , Hasanuddin Muhammad Irfan , Fuad Ah. Zakki , Abu Bakar M. Yunus , Muhaemin Muhaemin , Arifuddin Arifuddin
Published: February 2025

Islamic education is often perceived as less relevant to contemporary demands due to its textual and normative approach. This research seeks to explore the rational perspectives of religious-rational Islamic thinkers regarding the compatibility of the Islamic education system in the 21st century, focusing on the scholars classified by Jawwad Ridla; Ikhwan Al-Shafa', Al-Farabi, Ibn Miskawaih, and Ibn Sina. Each thinker will be examined for their contributions to the Islamic education paradigm. This literature review aims to trace manuscripts, articles, and books related to the rationality of these thinkers and their views on the Islamic education system in the 21st century. The findings reveal the religious-rational epistemology of Islamic education and the perspectives of these thinkers on the compatibility of the Islamic education system with 21st-century needs. These four religious-rational Islamic thinkers collectively provide comprehensive insights into an Islamic education system that can be deemed appropriate for the current century. The implications of this research could enrich the discourse on modern Islamic thought by bridging traditional religious views with rational, modern approaches, thereby identifying Islamic universal values that remain relevant, applicable, and competitive in addressing the challenges of the 21st century and supporting the evolution of Islamic thought amidst contemporary dynamics.
Management of Prosthesis Embolization into Left Ventricle after Transcatheter Aortic Valve Implantation: A Case Report
Authors: Beyazal Osman Fehmi , Tezcan Hasan , Yanartaş Mehmed , Kayalar Nihan , Yazıcı Süleyman
Published: February 2025

Transcatheter aortic valve implantation is recommended in advanced aortic stenosis, in elderly patients who are not suitable for surgery. Valve embolization is one of the most important complications that is life-threatening. A 61-year-old male patient was being followed up with a complaint of shortness of breath. He had a history of coronary artery bypass graft operation. Transthoracic echocardiography revealed severe aortic stenosis. Transfemoral transcatheter aortic valve implantation was performed, but while the balloon passed through the valve, the valve embolized the ventricle. The patient was then taken into operation. The native aortic valve was resected, the valve embolized into the ventricle was cut and removed, and surgical aortic valve replacement was performed. Endovascular methods can be preferred in suitable patients, but in cases where they fail, urgent open-heart surgery is required. One of the most important points is that the guidewire should not be removed when embolization.
The Adoption of Generative AI in Kenya: A Critical Analysis of Opportunities, Challenges, and Strategic Imperatives
Authors: Mwangi Chege Stanley
Published: February 2025

Artificial intelligence (AI), especially generative AI, is progressively transforming industries on a global scale, creating new opportunities while introducing notable challenges for organizations and IT decision-makers. This research investigates the adoption of generative AI within Kenya, providing a detailed examination of its advantages, implementation barriers, and strategic actions needed for effective integration. By synthesizing recent research and industry data, this paper explains how generative AI can fuel innovation, increase productivity, and foster economic growth in Kenya. It also considers specific challenges for Kenyan entities, such as limited strategic planning, skill shortages, data security, and ethical concerns. The study emphasizes the importance of strategic policies and capacity-building efforts in realizing generative AI’s potential within Kenya’s digital landscape
Saber de experiência feito
Authors: Trindade Regina Aparecida Correia , Araújo Mairce da Silva , Gutiérrez Chávez María Isabel
Published: February 2025

Por meio de uma perspectiva investigativaformativa inerente à pesquisa narrativa este artigo, escrito em Português e Espanhol, tem como propósito elucidar movimentos de produção coletiva de narrativas de experiências docentes realizadas entre redes e coletivos docentes latino-americanos de professores e educadores brasileiras/os e peruanas/os, e a partir deles. Tais movimentos entre redes vem acontecendo desde 2015 e, em 2020, se organizou por meio do Projeto Memórias da Quarentena: Diálogos entre Brasil e Peru ocorrido entre abril e setembro, quando foi possível aos docentes das redes brasileira e peruanas compartilhar, entre pares, experiências investigativasformativas para pensarfazer o cotidiano e suas atuações no cenário pandêmico, virtualizado, considerando, neste contexto, o diálogo com o conceito freiriano de saber de experiência feito. A partir dos encontros e da importância das redes e coletivos docentes como espaços instituintes e formativos a rede peruana reDiálogos narra o movimento de continuidade formativo e dialógico, que se situa como princípio basilar das redes e coletivos docentes, como condição amorosa, respeitosa e comprometida política e socialmente com a comunidade. Por meio destes encontros foi possível perceber: a importância da narrativa como produção invetigativoformativa intelectual das/os docentes atravessados pelos desafios cotidianos; o espaço formativo instituinte das redes e coletivos docentes; os desafios que se instauram, para ambos os países, no que se refere a prática de uma educação emancipatória e libertadora; a importância das redes como espaços instituintes de investigaçãoformação docente que reverbera em movimentos cotidianos de reflexões sobre seus pensarfazeres docentes.
Documentação narrativa de experiências pedagógicas
Authors: Faria Juliana Batista , Bragança Inês Ferreira de Souza
Published: February 2025

Este artigo discute o processo de tematização pedagógica, um movimento interpretativo realizado por estudantes de cursos de licenciatura de uma universidade pública paulista, participantes de uma pesquisa-formação de pós-doutorado cujo objetivo foi desenvolver, por meio da Documentação Narrativa de Experiências Pedagógicas (DNEP), estratégias de leitura, escrita, edição e publicização de narrativas pedagógicas na formação inicial docente. A abordagem teórico-metodológica da pesquisa-formação situa-se no campo das (auto)biografias e narrativas em educação, em diálogo com o campo da formação docente e com os estudos nos/dos/com os cotidianos escolares. Por meio de diferentes dinâmicas que mobilizaram narrativas orais e escritas compartilhadas pelos estudantes, os encontros da pesquisa viabilizaram que eles pudessem produzir e ler as narrativas uns dos outros, escrever sobre si, para e com seus pares, conversar e refletir sobre as experiências relatadas e editar pedagogicamente os textos, de modo a expandir e aprofundar os sentidos de suas experiências pedagógicas a cada nova versão. A produção das tematizações pedagógicas, como trabalho hermenêutico, implicou os estudantes na reflexão sobre o processo investigativo-formativo e deu visibilidade aos saberes produzidos coletivamente. Como resultado, explicita-se uma das tematizações produzidas, indicando a contribuição desse movimento para as pesquisas narrativas e (auto)biográficas, ao considerar os narradores/as como autores/as e inspirar modos outros de compreensão das fontes narrativas.  Destaca-se, ainda, que a produção e a reflexão sobre as narrativas pedagógicas podem contribuir com a investigação e a reflexão sobre as experiências de formação de outros estudantes das licenciaturas, professores da educação básica e professores universitários.
Towards mechanical performance paradox and behind thermo-kinetic origins of aluminum alloys with additional solutes (X = Mg, Cu and Si) from atomistic simulations
Authors: Du Jinglian , Liu Yu , Zhao Caisi , Xue Haotian , Gao Kangxu , Fang Xiao , Song Kexing , Liu Feng
Published: February 2025

Dislocation glide and/or deformation twinning, which can be uniformly described as the kinetic behaviors of atoms driven by thermodynamics, play important roles in dominating mechanical performance and strength-ductility paradox of metallic alloys. In this work, the physical origins behind the mechanical performance paradox are investigated in light of thermo-kinetic synergy upon materials processing. Combining the classical dislocation theories with common strengthening mechanisms, the quantitative connections among yield strength, plastic strain and dislocation density are bridged by the driving force and energy barrier of dislocation motion. The FCC-Al and Al alloys with Mg, Cu and Si solutes are studied as typical representatives by performing molecular dynamics (MD) simulations to analyze the tensile behaviors. It turns out that the thermo-kinetic synergy is responsible for the strength-ductility exclusive behaviors. The yield strength and flow stress are enhanced with Mg, Cu and Si solutes adding in FCC-Al, due to the increased interactions between dislocations and solute atoms. All the Mg, Cu and Si solutes can benefit the mechanical responses of Al alloys. Increasing Mg content enhances the driving force and yield stress of Al-Mg alloys, but reduces the energy barrier and plastic strain. The solute Si addition can further increase the driving force and yield stress, but decrease the energy barrier and plastic strain of Al-Mg-Si alloys. Our investigation provides an innovative viewpoint for understanding the mechanical performance paradox of metallic alloys, and offers insightful guidance for designing advanced Al alloys with good mechanical performance.
AI in single-atom catalysts: a review of design and applications
Authors: Yu Qiumei , Ma Ninggui , Leung Chihon , Liu Han , Ren Yang , Wei Zhanhua
Published: February 2025

Single-atom catalysts (SACs) have emerged as a research frontier in catalytic materials, distinguished by their unique atom-level dispersion, which significantly enhances catalytic activity, selectivity, and stability. SACs demonstrate substantial promise in electrocatalysis applications, such as fuel cells, CO2 reduction, and hydrogen production, due to their ability to maximize utilization of active sites. However, the development of efficient and stable SACs involves intricate design and screening processes. In this work, artificial intelligence (AI), particularly machine learning (ML) and neural networks (NNs), offers powerful tools for accelerating the discovery and optimization of SACs. This review systematically discusses the application of AI technologies in SACs development through four key stages: (1) Density functional theory (DFT) and ab initio molecular dynamics (AIMD) simulations: DFT and AIMD are used to investigate catalytic mechanisms, with high-throughput applications significantly expanding accessible datasets; (2) Regression models: ML regression models identify key features that influence catalytic performance, streamlining the selection of promising materials; (3) NNs: NNs expedite the screening of known structural models, facilitating rapid assessment of catalytic potential; (4) Generative adversarial networks (GANs): GANs enable the prediction and design of novel high-performance catalysts tailored to specific requirements. This work provides a comprehensive overview of the current status of AI applications in SACs and offers insights and recommendations for future advancements in the field.
Increased Transparency in Accounting Conventions Could Benefit Climate Policy
Authors: Wedderburn-Bisshop Gerard
Published: February 2025

Greenhouse gas accounting conventions were first devised in the 1990’s to assess and compare emissions. Several assumptions were made when framing conventions that remain in practice, however recent advances offer potentially more consistent and inclusive accounting of greenhouse gases. We apply these advances, namely: gross accounting of CO2 sources; linking land use emissions with sectors; using Effective Radiative Forcing (ERF) rather than Global Warming Potentials (GWPs) to compare emissions; including both warming and cooling emissions, and including loss of additional sink capacity (LASC). We compare these results with conventional accounting and find that this approach boosts perceived carbon emissions from deforestation, and finds agriculture, the most extensive land user, to be the leading emissions sector and to have caused 60% (32%-87%) of ERF change since 1750. We also find that fossil fuels are responsible for 18% of ERF, a reduced contribution due to masking from cooling co-emissions. We test the validity of this accounting and find it useful for determining sector responsibility for present-day warming and for framing policy responses, while recognising the dangers of assigning value to cooling emissions, due to health impacts and future warming.
Newtonian Gravity of Antimatter Particles and Gravitational Foundation Underlying Field Quantization through Quantum Spacetime Geometrization
Authors: Chiarelli Piero
Published: February 2025

By incorporating quantum mechanics into gravitational theory through the so-called spacetime geometrization procedure that consists in applying the principle of least action alongside the covariance of quantum mechanical motion equations, we present a model that describes the gravitational behavior of antimatter whose existence is fundamentally rooted in quantum mechanics. This approach is based on the fact that the equivalence of gravitational and inertial mass in General Relativity can be replaced by the condition of covariance of classical equations of motion in curved spacetime. The findings show that even if the antimatter particles rest mass assumes negative values, the Newtonian gravity of point-like antimatter matter on macroscopic scale is attractive. The work also shows that the weak Newtonian gravity includes an additional quantum term that is inversely proportional to their mass and depending by the quantum mass density distributions. . The divergence of gravitational energy for infinitesimal masses may provide an explanation for the origin of field quantization in elementary particles and enforcing a discrete spectrum of elementary particle masses.
Synchronization, Optimization, and Adaptation of Machine Learning Techniques for Computer Vision in Cyber-Physical Systems: A Comprehensive Analysis
Authors: Tang Kai Hung , Ghanem Mohamed Chahine , Vassilev Vassil , Ouazzane Karim , Gasiorowski Pawel
Published: February 2025

Cyber-Physical Systems (CPS) seamlessly integrate computers, networks, and physical devices, enabling machines to communicate, process data, and respond to real-world conditions in real-time. By bridging the digital and physical worlds, CPS ensures operations that are efficient, safe, innovative, and controllable. As smart cities and autonomous machines become more prevalent, understanding CPS is crucial for driving future progress. Recent advancements in edge computing, AI-driven vision, and collaborative systems have significantly enhanced CPS capabilities. synchronization, optimization, and adaptation are intricate processes that impact CPS performance across different domains. Therefore, identifying emerging trends and uncovering research gaps is essential to highlight areas that require further investigation and improvement. This systematic review and analysis aims to offer a unique point to researcher and facilitates this process by allowing researchers to benchmark and compare various techniques, evaluate their effectiveness, and establish best practices. It provides evidence-based insights into optimal strategies for implementation while addressing potential trade-offs in performance, resource usage, and reliability. Additionally, such reviews help identify widely accepted standards and frameworks, contributing to the development of standardized approaches.
Two-Band Superconductivity and Transition Temperature Limited by Thermal Fluctuations in Ambient Pressure La3-xPrxNi2O7-δ (x = 0.0, 0.15, 1.0) Thin Films
Authors: Talantsev Evgeny
Published: February 2025

Recently, two research groups [1–3] reported on the observation of ambient pressure superconductivity in a few nanometres thick La3-xPrxNi2O7-δ (x = 0.0, 0.15, 1.0) films with the Tc,onset = 40 K and Tc,zero = 2-14 K. Here I have analysed the reported self-field critical current density, Jc(sf,T), and upper critical field, Bc2(T), for these films and showed that La3-xPrxNi2O7-δ films exhibit a large in-plane London penetration depth, λab(0) = (1.9-6.8) μm, and the Ginzburg-Landau parameter κc(0) = 500-1000. Deduced λab(0) values are within uncertainty range for independently reported [2] λab(0) = (3.7±1.4) μm. Such large λab(0) implies that the La3-xPrxNi2O7-δ exhibits low ground state lower critical field Bc1(0) = (20-240) μT. On the other hand, such large values of λab(0) explain a broad resistive transition in La3-xPrxNi2O7-δ films [1–3], because large λab(0) implies low superfluid density, and therefore large thermal fluctuations. Consequently, I calculated the phase fluctuation temperature, Tfluc, and found that the Tc,zero < Tfluc. I also found that λab(T) and Bc2(T) data are nicely fitted to two-band models, from which the preference has been given to two-band (s+s)-wave model. Besides I showed that bulk highly compressed Ruddlesden–Popper nickelates Lan+1NinO3n+1 (n = 2,3) and ambient pressure Lan+1NinO2n+2 (n = 5) thin film also demonstrate evidences for two-band superconductivity.
Extracellular Vesicles from Regenerating Skeletal Muscle Mitigate Muscle Atrophy in an Amyotrophic Lateral Sclerosis Mouse Model
Authors: Yao Yao , Gao Jinghui , Sikal Aria , Hankin Rachel , Zheng Yaochao , Sterling Elijah , Chan Kenny
Published: February 2025

Amyotrophic lateral sclerosis (ALS) is a devastating neuromuscular disease characterized by progressive motor neuron degeneration and muscle atrophy, with no effective treatments available. Chronic inflammation, which impairs muscle regeneration and promotes proteolysis, is a key contributor to ALS-related muscle atrophy and a promising therapeutic target. Here, we applied extracellular vesicles (EVs) derived from regenerating skeletal muscles 14 days post-acute injury (CTXD14SkM-EVs), which possess a unique anti-inflammatory profile, to target muscle defects in ALS. We found that CTXD14SkM-EVs enhanced myoblast differentiation and fusion in a cellular muscle-wasting model induced by pro-inflammatory cytokine tumor necrosis factor alpha. Intramuscular administration of these EVs into an ALS mouse model mitigated muscle atrophy by promoting muscle regeneration, shifting macrophage polarization from pro-inflammatory M1 to anti-inflammatory M2 state, and suppressing the aberrant Nuclear Factor Kappa B (NF-κB) signaling, a key driver of muscle protein degradation. These results underscore the therapeutic potential of regenerating muscle-derived EVs for combating muscle atrophy in ALS.
Advanced Identification of Prosodic Boundaries, Speakers and Accents Through Multi-Task Audio Pre-Processing and Speech Language Models
Authors: Lima Florido Fco. Javier , Pastor Gloria Corpas
Published: February 2025

In recent years the advances in deep neural networks (DNNs) and large language models (LLMs) have led to major breakthroughs and new levels of performance in Natural Language Processing (NLP), including speech processing related tasks. Based on these new trends, new models such as Whisper and Wav2Vec 2.0 achieve robust performance in speech processing tasks, even in speech-to-text translation and end-to-end speech translation, far exceeding all previous results. Although these models have shown excellent results in real-time speech processing, they still have some accuracy issues for some tasks and high latency problems when working with large amounts of audio data. In addition, many of them need audio to be segmented and labelled for speech synthesis and annotation tasks. Speaker diarisation, background noise detection, prosodic boundary detection and accent classification are some of the pre-processing tasks required in these cases. In this study we will fine-tune a small Wav2Vec 2.0 base model for multi-task classification and audio segmentation. A corpus of spoken American English will be used for the experiments. We intend to explore this new approach and, more specifically, the performance of the model with regards to prosodic boundaries detection for audio segmentation, and advanced accent identification.
Response to Water Stress of Novel and Widely Spread Citrus Rootstocks
Authors: Modica Giulia , Arcidiacono Fabio , Puglisi Ivana , Baglieri Andrea , La Malfa Stefano , Gentile Alessandra , Arbona Vicent , Continella Alberto
Published: February 2025

Drought is a problematic abiotic stress affecting citrus crops in the Mediterranean basin and the rootstock plays a fundamental role in adopting adaptive mechanisms in response to water deficit. The aim of this study is to evaluate the response of eight rootstocks under three treatments imposed: control (100% Et0), 66% Et0 and 50% Et0. Among the rootstock genotypes studied, some have been recently spread and so far little studied, i.e. Bitters, Carpenter and Furr, while others have been widely used especially in Mediterranean cit-rus industry, i.e. Citrus macrophylla, C. volkameriana, Swingle citrumelo, Carrizo and C35 citrange. Morphological analyses, leaf chlorophyll content determination, physiological measurement, proline accumulation, malondialdehyde determination and antioxidant enzyme activities were measured. The results exhibited that Bitters and Furr showed an increment in leaf area to reduce the effects of drought conditions. A decrement in gas ex-changes and xylem water potential was noticed in Carrizo and C35 citrange at both water shortage treatments. Bitters and Furr performed better than the other rootstocks with re-grads to enzymatic and hormonal assays, C. volkameriana showed a decrease in xylem water potential, while overall Carrizo and C35 citranges showed a susceptible response to water stress reducing morphological and physiological measurements.
Enhancing Adverse Event Monitoring and Management in Phase IV Chronic Disease Drug Trials: Applications of Machine Learning
Authors: Li Tingxuan
Published: February 2025

At present, Phase IV studies usually rely on RWD and RWE to determine the long-term safety, effectiveness, and, cost benefits of drugs. This is applicable to public health and medical practices and impacts drug and health decision-making at the clinical level. In this paper, we firstly present a novel Transformer model-based method which could further promote the long-term application benefits of the chronic disease drugs including the metreleptin in lipodystrophy. Through the self-attention mechanism, the model could interestingly capture the time series and correlation in clinical data, and process the multimodal real world data (e.g., patient history, long-term follow up data, etc.), and is capable of real-time monitoring of drug safety and efficacy. In fact, due to the addition of data augmentation and self-supervised learning strategy, the model can still achieve high prediction performance in low sample settings, and quickly and accurately identify potential adverse events including the acute pancreatitis, liver adverse events, etc. and their role in glycosylated hemoglobin (HbA1c), triglyceride and other indicators. Experimental results demonstrate that the proposed Transformer model significantly outperforms traditional methods in adverse event prediction and risk assessment, making it a valuable tool for accurate long-term drug monitoring.
Raspberry Pi-based Face Recognition Door Lock System
Authors: Elnozahy Seifeldin Sherif , Pari Senthill C , Lee Chu Liang
Published: February 2025

Access control systems protect homes and businesses in the continually evolving security industry. This paper designs and implements a Raspberry Pi-based facial recognition door lock system using artificial intelligence and computer vision for reliability, efficiency, and usability. With the Raspberry Pi as its CPU, the system uses facial recognition for authentication. A camera module for real-time image capturing, a relay module for solenoid lock control, and OpenCV for image processing are essential. The system uses the Deep Face library to detect user emotions and adaptive learning to improve recognition accuracy for approved users. The device also adapts to poor lighting and distances and sends real-time remote monitoring messages. The system's average face identification time is 564.43 ms, and emotion detection time is 327.63ms, ensuring real-time performance. Major achievements include introducing adaptive facial recognition, ensuring the system evolves with usage, and smoothly integrating real-time notifications and emotion detection. Face recognition accuracy was high in various environments. Modular architecture facilitated hardware-software integration and scalability for varied applications. In conclusion, this study created an intelligent facial recognition door lock system using Raspberry Pi hardware and open-source software libraries. The system addresses traditional access control limits and is practical, scalable, and inexpensive, demonstrating biometric technology's potential in modern security systems.
Revolutionizing Teacher Education: Integrating Techno-Pedagogical Skills for 21st Century Classrooms: A Comprehensive Review
Authors: Mondal Prodeep Kumar
Published: February 2025

This review paper analyses the current status of techno-pedagogical skills in teacher education using 50 studies published between 2006 and 2024. The study shows how Technological Pedagogical Content Knowledge (TPACK) framework is being applied in diverse education contexts. The review attracts attention to integrating technology, and pedagogy, and content knowledge of teacher education programs. The second part also explores the challenges and opportunity of developing these skills with pre-service and in-service teachers. The findings indicate that while techno-pedagogical skills are increasingly recognized as important for teaching and learning, adequate implementation and proficiency remain incomplete in various settings of educational intervention. Future research directions and suggestions for improving techno-pedagogical competencies in teacher education are provided.
Advances in Dissolvable Polymers and Composites for Oil and Gas Industry
Authors: Zhao Lei , Ren Jiaxiang , Xing Peixiang , Yao Donggang , Cheng Peng
Published: February 2025

The oil and gas industry has emerged as one of the largest consumers of polymer composites, with dissolvable polymers and composites representing one of the most significant technological advancements in this sector. These materials are essential for the manufacturing of high-performance tools such as hydraulic fracturing plugs, which must withstand extreme downhole conditions—temperatures up to 250°C, pressure differential up to 150 MPa—before dissolving rapidly in wellbore fluids to facilitate continuous production. Unlike traditional dissolvable polymers from the medical or consumer industries, which lack the required thermal stability, mechanical strength, and cost-effectiveness, these advanced materials must be formulated from readily available raw materials and manufactured on an industrial scale. Over the past two decades, significant progress has been made in the design and application of polymers like poly(glycolic acid), polyurethane, polyamide, epoxy, and isocyanate ester, developed through collaborative efforts between academia and industry. This review provides a comprehensive overview of the evolution of dissolvable polymer composites, covering material design, degradation mechanisms, manufacturing processes, and field applications. It concludes with insights into future development opportunities in the field.