bluuebunny/crossref_metadata_2025 huggingface dataset:
Revisa Enem: experiência de bolsistas no PIBID-matemática como proposta de atividades para o Ensino Médio
Authors: Gomes Jandson da Silva , Silva Sabrina Andrade , Souza Denize da Silva
Published: October 2024

O Programa Institucional de Bolsas de Iniciação à Docência é uma das políticas públicas educacionais que muito tem contribuído para a formação docente. Sua importância revela-se tanto no âmbito da formação inicial, quanto na formação continuada. Este artigo aborda perspectivas a respeito das contribuições deste Programa na formação dos discentes do curso de Matemática da Universidade Federal de Sergipe, Campus Professor José Aloísio de Campos em São Cristóvão (Pibid-Matemática/SC/UFS). Nesse sentido, objetiva-se relatar e refletir sobre a experiência de bolsistas no projeto “Revisa Enem”, realizado em turmas do 3º ano do Ensino Médio em uma das escolas campo parceira desse Programa. O projeto fundamentou-se na metodologia “Resolução de Problemas", com ênfase em objetos do conhecimento matemáticos necessários e mais recorrentes às questões do Exame Nacional do Ensino Médio (Enem). Embora a ideia do trabalho pedagógico tenha partido da coordenação do Colégio, pois atenderia as demandas e as necessidades básicas dos alunos por estarem preparando-se para o Enem, o referido projeto foi elaborado pelos bolsistas orientados e supervisionados pelo professor de Matemática – supervisor do subgrupo. Desse modo, as atividades foram testadas com os participantes do subgrupo do programa, e depois, validadas pelos demais bolsistas vinculados ao Núcleo, para então serem aplicadas nas turmas de 3° ano. Esse trabalho metodológico, na perspectiva da Resolução de Problemas, contribuiu para que os alunos de Ensino Médio desenvolvem-se diferentes habilidades, as quais estão estabelecidas pelas diretrizes curriculares, tais como leitura e interpretação de situações problemas, formulação de hipóteses, comunicação e interação pelo trabalho coletivo, análise e tomada de decisões. Destarte, podemos afirmar que os resultados apontam não somente o enriquecimento e aprofundamento no exercício da docência desses bolsistas, mas também, contribuíram para os alunos da Educação Básica estudarem objetos matemáticos voltados ao Exame Nacional do Ensino Médio.
Entre o prescrito e o projetado no currículo da licenciatura: apontamentos da articulação teórico-prática na formação inicial do professo de matemática
Authors: Almeida Junior Cleilson de , Silva Gustavo Brito da , Sousa Ana Cláudia Gouveia de
Published: October 2024

A dinamicidade da sociedade implica mudanças em diferentes esferas, dentre elas, na educação escolar. Nesse escopo, as transformações curriculares decorrentes dessa dinâmica são temas de debate e pesquisa no âmbito educacional. O presente artigo, portanto, discute sobre perspectivas e desafios presentes no novo Projeto Pedagógico de Curso (PPC) da Licenciatura em Matemática de uma Instituição de Ensino Superior (IES) pública de Fortaleza-Ceará. Para isso, foi realizada uma pesquisa com análise documental e bibliográfica, partindo das normativas e dos documentos que são diretrizes para sua elaboração, tais como as Diretrizes Curriculares Nacionais (DCN) para a Formação de Professores da Educação Básica e do curso de Matemática (bacharelado e licenciatura). Após isso, foram pesquisadas produções acadêmico-científicas para se ter o devido respaldo teórico sobre o currículo e a formação de professores. Com os estudos e percepções críticas acerca da construção do PPC, foram evidenciadas lacunas curriculares no que diz respeito à abordagem de aspectos referentes à Educação Inclusiva; à falta aprofundamento no tema de avaliação e à abordagem das disciplinas de Matemática Pura. Constatou-se ainda o alcance de conquistas e melhorias observadas em propostas como a curricularização da extensão e a Prática como Componente Curricular, sendo elementos chaves para a inserção de atividades que irão aperfeiçoar o fazer docente. Os demais avanços observados se concentram na reconfiguração do Estágio Supervisionado, ao sair de uma dimensão burocrática para uma maior interligação entre escola-campo e IES, entre as quais se fez uma articulação e se realizou um processo de construção teórico-prática Com esses resultados, ressalta-se que as mudanças curriculares são necessárias e constantes para a formação de professores.
Formação prioritária estadual em matemática 2024: uma experiência com a Sequência Fedathi
Authors: Aleixo Roberta Eliane Gadelha , Sousa Diego Tavares de , Menezes Daniel Brandão
Published: October 2024

A aprendizagem em matemática na educação básica é um desafio histórico no Brasil conforme demonstram os dados de avaliações externas nos últimos anos. No nosso estado, o Sistema Permanente de Avaliação da Educação Básica do Ceará (Spaece), reafirma os dados das avaliações nacionais. Além dessas avaliações, a Secretaria da Educação do Ceará (Seduc), por meio da Secretaria de Cooperação com os Municípios, realiza, anualmente, duas avaliações diagnósticas com todos os estudantes do ensino fundamental das redes municipais, o Avalie.Ce, sendo uma no início e outra no meio do ano letivo. A partir dos resultados são identificadas as escolas denominadas prioritárias, tendo em vista o “baixo” desempenho dos estudantes. Desse modo, como parte integrante do programa Paic Integral do governo do estado, são realizadas ações junto a essas escolas e uma delas é a formação com os professores de matemática. Com isso, aconteceu no dia 22 de maio de 2024, na cidade de Fortaleza, formação presencial para 14 (quatorze) formadores de matemática atuantes nas regionais de abrangência das escolas prioritárias. Este estudo teve por objetivo analisar, à luz da Sequência Fedathi, a vivência da primeira formação prioritária de 2024 em matemática dos anos finais do programa Paic Integral da Seduc. Trata-se de um estudo descritivo, exploratório, do tipo relato de experiência, realizado a partir da vivência como formadora na primeira formação estadual prioritária do programa Paic Integral da Secretaria da Educação do Ceará. O presente trabalho utilizou o estudo dos materiais produzidos no planejamento para a formação e as observações registradas no caderno de campo sobre as atividades. O planejamento foi realizado a partir da análise teórica e ambiental do contexto dos formadores regionais, o que contribuiu para o engajamento dos participantes. As vivências levaram em consideração os problemas postos pelas avaliações e pelo currículo. Além disso, buscaram propiciar a maturação e a apresentação de possíveis soluções pelos próprios formadores, conforme orienta a Sequência Fedathi. Tais problemas são complexos e exigem debruçamento contínuo. Contudo, a vivência trouxe contribuições importantes para a compreensão dos desafios. Percebe-se, portanto, a necessidade de ciclos permanentes de formações continuadas a fim de ir aprofundando as reflexões e, com isso, a práxis pedagógica.
Batalha de permutações: um jogo para abordar combinatória no ensino médio
Authors: Sedícias Malcolm Vinícius de Andrade , Rocha Cristiane de Arimatéa
Published: October 2024

A matemática ensinada na etapa final da Educação Básica pode valorizar o ingresso no Ensino Superior em detrimento ao desenvolvimento do ser social, o que pode favorecer a ênfase nos resultados ao invés de oferecer experiências de ensino que oportunizem aos estudantes estarem no centro do processo de ensino e aprendizagem. Tendo em vista que a abordagem da combinatória no Ensino Médio, pode ser centrada em apresentação de definições e fórmulas, esse artigo tem como objetivo analisar a abordagem do jogo ‘Batalha de Permutações' e suas contribuições e limitações para a aprendizagem de combinatória em uma experiência no Ensino Médio. A aplicação do jogo ocorreu em uma turma do 2º ano do Ensino Médio, e priorizou a interação entre os estudantes e o contato direto com o objeto de conhecimento e o recurso didático utilizado, tornando-os protagonistas na construção do próprio conhecimento. O jogo mostrou-se uma alternativa a esse paradigma educacional, por exigir que os estudantes do Ensino Médio formassem grupos e interagissem entre si, promovendo o desenvolvimento do “ser social”, ao mesmo tempo que, por se tratar de um jogo, permitiu que os estudantes usassem a sua criatividade e desenvolvessem suas habilidades individuais para solucionar problemas de permutação e de permutação com elementos idênticos. Constatou-se que as estratégias adotadas no jogo possibilitaram o uso de representações como o Princípio Fundamental da Contagem, fórmulas e listagens e permitiu a comparação entre algumas delas com o uso de autoavaliação com uso do recurso didático. Como resultado, verificou-se certas características do jogo que podem ser melhoradas e algumas práticas educacionais relacionadas ao assunto trabalhado que devem ser modificadas. Apesar disso, o jogo mostrou-se uma experiência construtiva e que permitiu o desenvolvimento e aprendizado dos estudantes.
A metodologia Sequência Fedathi como um caminho para práticas pedagógicas inclusivas no ensino da matemática: revisão integrativa
Authors: De Sousa Neta Felismina , Scipião Lara de Negreiros Pinto , Santos Maria José Costa dos
Published: October 2024

A utilização de metodologias inovadoras nas práticas pedagógicas inclusivas para o Ensino de Matemática tem sido alvo dos profissionais de educação dessa área. O atual processo expositivo junto com práticas de cunho repetitivas tem levado professores a refletirem sobre suas ações pedagógicas. O objetivo dessa pesquisa é apresentar as contribuições da metodologia Sequência Fedathi para as práticas inclusivas durante o ensino de Matemática, por meio de uma Revisão Integrativa. A pesquisa é de natureza qualitativa e, de acordo com o objetivo, traz característica descritiva e exploratória, utilizando como procedimentos técnicos uma Revisão Integrativa em relação ao uso da metodologia Sequência Fedathi nas práticas inclusivas, para o ensino de Matemática, por meio das obras indexadas nas bases de dados Google Acadêmico, Periódicos Capes, Scielo e Repositório Institucional UFC, publicados em português, no período de 2013 a 2023. Para a pesquisa, foram considerados os seguintes descritores: "Sequência Fedathi”, “Ensino inclusivo”, “Práticas Inclusivas” e “Matemática Inclusiva”. Esta pesquisa ocorreu em quatro etapas, sendo que na primeira ocorreu a organização dos descritores; na segunda, o levantamento dos dados; na terceira, a organização dos dados e na quarta, as pesquisas selecionadas. Para a análise, foram selecionados seis trabalhos a fim de possibilitar uma visualização detalhada sobre a temática da pesquisa. A partir dos dados apresentados, observou-se que a metodologia Sequência Fedathi possibilita a compreensão do conhecimento matemático como um processo inclusivo e inovador. Conclui-se que a SF promove uma mudança de postura nas ações docentes no que se refere às práticas inclusivas, em especial no ensino da Matemática colocando o aluno como protagonista e desafiando-o a pensar e refletir em situações-problema.
A relevância da utilização de portfólio digital na avaliação da aprendizagem em matemática
Authors: Ferreira Edmara Patrícia Américo , Bastos de Melo Espíndola Elisângela
Published: October 2024

Este artigo é fruto de uma dissertação desenvolvida no Programa de Pós-graduação em Ensino das Ciências da Universidade Federal Rural de Pernambuco sobre o uso de portfólios digitais – por estudantes do Ensino Médio de uma unidade escolar do Serviço Social da Indústria – como instrumento de avaliação em Matemática. No presente artigo tomou-se por objetivo analisar os posicionamentos dos estudantes sobre a utilização do Portfólio Digital na avaliação em Matemática. A pesquisa, de cunho qualitativo, foi realizada em uma unidade escolar do SESI que passou a implementar o Portfólio Digital como um dos instrumentos de avaliação das aprendizagens dos estudantes no ano letivo anterior ao da realização desta pesquisa. A construção e a análise dos dados ocorreram em três etapas. Na primeira etapa, no início do primeiro bimestre letivo, aplicou-se um questionário para averiguação de quais estudantes desejariam compartilhar os seus portfólios. Ao final do bimestre, prosseguiu-se com a análise de dez portfólios, com base nos tópicos orientados pela instituição escolar: Meus trabalhos; Minhas Dificuldades; Meu Plano de Estudo; Minhas Superações; O que eu mais gostei?; O que ainda preciso melhorar?; e Autoavaliação. Na terceira etapa, aplicou-se um questionário a fim de levantar os posicionamentos dos dez estudantes, colaboradores da pesquisa, por exemplo, acerca da seleção do material incluído e das reflexões sobre seus desempenhos escolares em Matemática. Constataram-se, assim, o desenvolvimento e aprimoramento de habilidades tecnológicas na utilização de plataformas digitais (Canva, Google Drive, edição de fotos e vídeos, entre outras); o registro da revisão de conteúdos estudados no bimestre e outros do Ensino Fundamental; e as evidências sobre as evoluções nas notas de testes e provas, o que demonstra indícios de contribuições do Portfólio Digital na autoavaliação e autorregulação dos estudantes sobre suas próprias aprendizagens.
Disfunção sexual em mulheres na atenção primária de Florianópolis
Authors: Bonsfield Marília Vieira , Duailibi William de Oliveira , Lucio Donavan de Souza
Published: October 2024

Introdução: A disfunção sexual é mais frequente entre as mulheres, com prevalências entre 25 e 63% naquelas acima de 18 anos. Por meio do questionário Female Sexual Function Index, este estudo busca estimar a frequência de disfunções sexuais em mulheres adultas de duas Equipes de Saúde da Família em Florianópolis, Santa Catarina. Objetivo: O objetivo deste estudo é avaliar a prevalência de disfunção sexual feminina (DSF) nessas populações e investigar a relação entre variáveis sociodemográficas e os domínios representados no escore FSFI. Métodos: Utilizamos o questionário FSFI para avaliar a frequência de disfunções sexuais e realizamos uma análise das variáveis sociodemográficas entre as unidades de saúde. Foram incluídas mulheres adultas atendidas em duas Equipes de Saúde da Família em Florianópolis. Resultados: A prevalência geral de DSF encontrada foi de 67,8%, com uma distribuição homogênea entre as diferentes unidades de saúde e variáveis sociodemográficas. Observamos associações entre anos de estudo e maiores índices de DSF, especialmente nos domínios de desejo, excitação e lubrificação, e entre maior idade e melhor desempenho nos domínios de desejo e excitação. Conclusões: A alta prevalência de distúrbios sexuais femininos em Florianópolis, distribuída de maneira homogênea entre as variáveis sociodemográficas estudadas, destaca a importância da capacitação dos profissionais de saúde na abordagem dessas questões na Atenção Primária.
Prevalência de sintomas de doenças musculoesqueléticas na área de abrangência de uma Unidade Básica de Saúde
Authors: Shinzato Marcia Midori , Kinashi Marcelo
Published: October 2024

Introdução: As doenças musculoesqueléticas (DMSQ) são causas importantes de incapacidade física que tem como consequências a redução da qualidade de vida e o aumento dos custos em saúde. Objetivo: Este estudo teve o objetivo de descrever a prevalência de sintomas de DMSQ e da incapacidade física associada a esses sintomas em uma área de abrangência de uma Unidade Básica de Saúde (UBS) da família em área periurbana, além de analisar a associação da presença desses sintomas com características demográficas e doenças crônicas mais frequentes. Métodos: Estudo transversal realizado na área de cobertura de uma UBS periurbana entre agosto de 2018 e fevereiro de 2019 na qual pessoas com mais de 15 anos, selecionadas ao acaso, foram entrevistadas com o questionário da primeira fase do Community Oriented Program for Control of Rheumatic Diseases (COPOCORD), traduzido e validado para a língua portuguesa. Essas pessoas também foram questionadas quanto à presença de outras doenças diagnosticadas e a medicações em uso. Além disso, foram realizadas medidas de peso, altura e circunferência da cintura de cada participante — os dois primeiros foram utilizados para cálculo do índice de massa corporal (IMC). Resultados: Neste estudo foram entrevistadas 372 pessoas com média de idade de 46,5 (±18,3) anos, sendo 212 (57%) do sexo feminino. A prevalência de indivíduos que apresentaram sintomas de DMSQ nos últimos sete dias foi de 66,4% (IC95% 61,6–71,2). Cerca da metade (48,6%) e quase um quarto (24,2%) dos participantes relataram sintomas de intensidade moderada e severa, respectivamente. Os locais mais afetados foram as costas (50,27%), o pescoço (34,9%) e os joelhos (30,64%). A maioria, 209/247 (84,6%), relatou dor em mais de um local e 129/247 (52.2%) relataram limitação física para atividades da vida diária. Das 247 pessoas, 102 (41,3%) procuraram assistência médica, a maioria, 70 (68,6%), na UBS. Indivíduos com sintomas de DMSQ tinham média de idade e de IMC significativamente mais elevada que indivíduos sem esses sintomas, além de apresentarem maior frequência de diabetes e ansiedade e/ou depressão. No entanto, em análise multivariada, nenhuma variável foi preditora independente de sintomas de DMSQ. Conclusões: Sintomas de DMSQ são prevalentes nessa comunidade e a atenção básica deve estar preparada para manejo e reabilitação das pessoas com essas doenças.
A RETROSPECTIVE LATERAL CEPHALOMETRIC STUDY ON FRONTAL SINUS HEIGHT AND
WIDTH MEASUREMENT PROTOCOL FOR GENDER DETERMINATION
Authors: Manghnani Pooja , Anerao Ruchik , Buddhikot Chaitanya , Shrimali Suchit , Anuraga S. , Pawar Saurabhchandra
Published: October 2024

Aim: To develop and assess a protocol proposed for sex determination using frontal sinus height and width measured from two dimensional lateral cephalometric radiographs.
Material and Methods: The frontal sinus index was measured on sixty-four cephalometric scans (32 males & 32 females). The maximum height and width of the sinus were measured. The data was tabulated and independent t test was done to determine the correlation to gender.
Results: There was a high statistically significant difference between the frontal sinus width measured between male and female groups. The p value for width was found to be 0.02 which is significant.
Conclusion: Measuring the frontal sinus height and width by the proposed protocol is promising. Multicentric study is recommended to reach a solid evidence-based result. Also testing the reliability of the standardization protocol is recommended by applying it on multiple drawn sinus borders by multiple experienced radiologists.
Evaluating the Effectiveness of Macroeconomic Determinants on the Performance of the Dhaka Stock Exchange: A Time Series Approach
Authors: Habib Fairuz Anjum Binte
Published: October 2024

The present study examines the causal relationships between selected macroeconomic factors and the Dhaka Stock Exchange Broad Index (DSEX) performance from January 2014 to December 2023. Time series econometric techniques include Dickey-Fuller (ADF) and Phillips-Perron (PP) tests to verify stationarity, Granger causality to investigate short-term dynamics, and Johansen's co-integration test to evaluate long-term relationships. The results show that while there is no long-term cointegration, there are significant short-term relationships between macroeconomic variables and the DSEX broad index. GDP growth and unemployment significantly impact stock performance, with two-way causality. While interest rates and the money supply have little impact on the index, inflation forecasts trends in inflation even if it doesn't directly influence it. Overall, the DSEX broad index shows how important it is to Bangladesh's macroeconomic dynamics by accurately predicting changes in GDP growth, unemployment, and inflation. The researcher provides unique insights into the mechanics of the Bangladeshi stock market, filling a vacuum in the literature on emerging countries. It analyzes how macroeconomic conditions affect the DSEX index over time, including the COVID-19 pandemic. The study investigates the influence of several macroeconomic variables on DSEX Index performance, providing significant information for Bangladeshi investors and policymakers looking to increase profits, inform policy choices, and promote economic stability. To have a better knowledge of stock market dynamics, future studies should include other macroeconomic aspects and regional markets.
Efficiency Performance of China Brand Automobiles: The Role of Innovation Systems
Authors: Jiang Jianglin , Ab-Rahim Rossazana , Hamdan Rosita
Published: October 2024

This research aims to examine and investigate the efficiency performance and its influencing factors of China brand automobiles’ innovation system using both theoretical and empirical approaches. Initially, the study applies the DEA model to assess the technical efficiency, pure technical efficiency, and scale efficiency of the innovation system of China brand automobiles. The results reveal a general upward trend in the innovation system’s efficiency of China brand automobiles. Subsequently, a panel regression model is employed to analyze the determinants impacting the efficiency of the innovation system. The findings of the research suggest that economic development, openness to international markets, and marketization enhance the technical efficiency of the innovation system of the domestic automobile industry. However, an increase in enterprise size tends to negatively affect this technical efficiency. While economic growth, openness, and marketization positively impact pure technical efficiency, the expansion of enterprise size exerts a detrimental effect. Conversely, enterprise size growth positively influences scale efficiency, whereas openness and marketization present some negative implications. Lastly, this study proposes policy recommendations from both governmental and enterprise viewpoints, aimed at promoting the sustainable advancement of the automobile industry.
Investigating the Mediating Role of Team Communication in the Relationship between Leadership Style and Team Performance in AI-based Interaction Systems Development
Authors: Sun Ning
Published: October 2024

This research investigates the complex interplay of leadership styles, team communication, and AI-interaction System development within the context of AI-based interaction systems development teams. The purpose is to elucidate how these variables intersect and collectively influence team performance. By exploring the dynamics specific to AI technologies, the study aims to contribute nuanced insights to the existing literature on leadership in technology-driven environments. Employing a quantitative approach, the study utilizes a structured questionnaire distributed to participants within AI development teams. The research focuses on leadership styles, encompassing both transformational and transactional approaches, team communication dynamics, and the developmental stage of AI-based interaction systems as key variables. Data analysis involves regression, mediation, and moderation analyses, facilitated by SPSS software, to uncover the relationships and interactions among these variables. Findings reveal that both transformational and transactional leadership positively influence team performance, mediated by effective team communication. Additionally, the developmental stage of AI-interaction Systems moderates these effects, highlighting the need for adaptable leadership strategies. This study addresses gaps in existing research by focusing on the specific dynamics within AI development teams, an area previously underexplored. The practical implications are significant for leaders in AI development teams, offering strategies to enhance team collaboration and performance. Key references include Bass and Riggio's work on transformational leadership and Brynjolfsson and McAfee's studies on AI's transformative potential. This research contributes to a nuanced understanding of leadership in technology-driven environments, guiding organizational practices in the AI era.
Quantifying Taxation Policy Effectiveness: The Mediating Role of Big Data and the Moderating Influence of Digitalization
Authors: Huang Li
Published: October 2024

Digitalization and big data are increasingly linked to taxation policies as technology advances and digital transformation accelerates. This study examines the complex interaction between these factors in China over the past two decades and their effects on taxation policy. This rigorous study uses quantitative analysis, econometric modeling, and empirical investigations to examine key variable relationships using the Dynamic Generalized Method of Momentum. The study’s variables are examined using longitudinal data from government reports, academic journals, and international databases. Descriptive statistics, correlation analysis, regression modeling, instrumental variable regression, and mediation analysis help researchers understand complex relationships. The analysis shows that digital infrastructure, tax policy, and big data use affect taxation directly and indirectly. The study found that digitalization and big data improve taxation policy, showing technology's fiscal governance potential. This research affects policy, business, and society beyond academia. Chinese and other digital taxation policymakers can use the findings to make evidence-based reforms. For Chinese companies, this study optimizes tax planning, compliance, and tax landscape navigation. The study's theoretical implications enhance our understanding of technology, governance, and public policy and contribute to the digitalization and big data taxation policy debate. This study advances digital taxation policy research and prepares future research such as integrating AI and blockchain technologies.
Impact of Non-performing Corporate Assets on Shareholder’s Equity and Return on the Application of AI and Block Chain Technologies
Authors: Huang Jian
Published: October 2024

One of the major challenges for banks, NPAs have an adverse impact on profitability, stability, and shareholders' equity. The current study, therefore, is an attempt to explore the impact of NPAs on shareholders' equity and returns, with special emphasis on the application of AI and block chain technologies as innovative solutions to the problem. It considers takaful principles in examining Fintech Corporations characterized by high NPAs and focuses on the main external and internal factors behind NPAs high interest rates, inadequate monitoring, natural calamities, willful defaults, recession, and unhealthy competition. The study uses AI-based predictive analytics to project potential NPAs and proactive measures in enhancing asset management processes. Block chain helps to introduce transparency and security of financial transactions, providing an immutable ledger that will help in creating accurate record-keeping and auditability. Taken together, these technologies offer robust solutions for the management of NPAs, risk reduction, and financial stability. Results underline the huge impact AI and block chain can have in attenuating the negative impact of NPAs on shareholder equity and returns. These technologies, therefore, stabilize and make the banking sector more effective by addressing these interrelated external and internal factors. This research thus follows the journal's focus on the implementation and management of advanced information systems to improve socio-economic environments related to the potentials AI and block chain can bring into the process of financial management.
Multi-Modal Emotional Understanding in AI Virtual Characters: Integrating Micro-Expression-Driven Feedback within Context-Aware Facial Micro-Expression Processing Systems
Authors: Xie Dr. Xiaoling , Fang Dr. Zeming
Published: October 2024

To engage users, AI Virtual Characters must comprehend emotions. The paper develops and evaluates Chinese-specific context-aware facial micro-expression processing algorithms and feedback mechanisms to improve AI virtual characters' multi-modal emotional comprehension in Chinese culture. Specialized algorithms were used to collect and evaluate Chinese micro-expressions and assess AI virtual characters' emotional comprehension in user interactions. Chinese participants of various ages, genders, and places were recruited for micro-expression recognition to ensure cultural inclusion. A comprehensive method collected quantitative and qualitative data. We integrated interview and AI virtual character feedback with quantitative indicators like emotion recognition accuracy, user engagement, and micro-expression intensity. In the study, demographics affect emotion recognition accuracy and age, gender, and location-specific virtual avatars increase emotional resonance. A study demonstrated that context influences micro-expression interpretation, particularly in distinguishing urban and rural surprise and grief. Textual micro-expression recommendations and real-time AI character expression modifications increased accuracy and user experience. Micro-expressions, visual and auditory cues, and physiological reactions are linked, requiring multimodal signal processing for emotional awareness. Interactive virtual help, gaming, and education may benefit from culturally appropriate AI characters. Deep learning, multimodal fusion, and explainable AI are used in AI emotional interaction theory and technique. Finally, using Chinese cultural intricacies, our study improves AI virtual character multi-modal emotional comprehension. Culturally sensitive AI personalities and emotional AI technologies are developed using context-aware face micro-expression analysis algorithms and feedback systems.
الرمز الأسطوري في شعر محمد عفیفي مطر(2010-1935)
Authors: الجبوري أیاد رحیم عبد
Published: October 2024

الكلمة هي إحدى الأدوات التي تمكن الإنسان من التأثير في الآخرين وجعل الفعل يبدو قبيحا ومقيتا أو حسنا وممتعا. الآن ، إذا تم التعبير عن هذه الجمل في شكل شعر ، فإن التأثير سوف يتضاعف ويعود هذا إلى الإحساس البشري بالجمال ، والذي يرتبط بشكل طبيعي بالغناء والموسيقى ، مع الأخذ في الاعتبار وجود هذا المعنى الطبيعي في جميع البشر ، يمكن للشاعر أن يستخدم موهبته في نقل المفاهيم والتأثير على الآخرين لطلب المساعدة. بالنظر إلى وجود القهر والطغاة في جميع العصور ، كان تاريخ الشعراء المعاصرين يفكر في طريقة لإنقاذ أنفسهم من عواقب التعبير الصريح حتى لا يتعرضوا لمصير الحلاج وسقراط وما إلى ذلك. ويسمى هذا التعبير الرمزي.کثرت وتعددت الدراسات والبحوث حول مفهوم الرمز في الأدب، لاسيما في الشعر، لانه من خلال الرمز يمکن أن يعطي الشاعر عدة معان مختلفة، ويحاول الشاعر عبر الرمز أن يعطي إشارة وتلميحا لموضوع سابق أو حکاية أو ثيمة أو أي شيء يريده من خلال الترميز، وساعدت هذه التقنية الشاعر أن يعبر عن قراءاته المختلفة، وإدخال الشخصيات التراثية والأسطورية للتعبير عما يخالج فکره وأيدولوجيته الفکرية الخاصة، وقد اکتنزت قصائد محمد عفیفي مطر بهذا اللون الشعري المميز، وتميز عن سائر الشعراء المعاصرين له، إذ لم يکن محمد عفیفي مطر تقليديا في استخدام هذه التقنية الأدبية ولا يمکن دراسة أشعاره حسب النظرية البلاغية القديمة، بل حاول أن يستعمل تقانات حديثة ومستحدثة، وأضاف الأسطورة کرمز في قصائده، مما جعل البحث يتوقف على هذا الأساس ويرکز البحث على اکتشاف الرمز الأسطوري عند محمد عفیفي مطر وفقا للمنهج التحليلي والوصفي، وقد درس في البداية مفاهيم الرمز والأسطورة وماهیة الأسطورة والأساطير في الدول المختلفة والأساطير في الأدب العربي والرمز الأسطوري عند الشعراء المعاصرين وأسباب اللجوء إلى الأسطورة وبعدئذ حاولت أن تبين أساليب الشاعر في استخدام الرمز الأسطوري مع تحليل وبحث نظري، وسلطت الدراسة الأضواء على دلالات الرموز الأسطورية والرموز البصرية للحرية. وقد توصل البحث إلى عدة نتائج وأهمها أن الرمز الأسطوري أضاف جمالية وجاذبية خاصة، وتبين أن الشاعر یکون ملما بالثقافات والحضارات المختلفة مما أضفى هذا الرمز جمالا على نصه الشعري.
الرؤية والتشكيل في شعر ابن هذيل الأندلسي: دراسة تحليلية نقدية
Authors: الشباني شيماء جابر سلمان
Published: October 2024

يُعد ابن هذيل الأندلسي من أعلام الشعر العربي في الأندلس خلال القرن الرابع الهجري، حيث تميز بشعرٍ يجمع بين الأصالة والابتكار، مستمدًا إلهامه من البيئة الأندلسية الغنية والمتنوعة. تميز شعر ابن هذيل برؤية شعرية متفردة تتجاوز الوصف التقليدي لتتعمق في جوهر التجربة الإنسانية، مما يجعله يعبر عن مشاعر وأفكار تتشابك فيها الطبيعة والثقافة في تناغم فريد.
 يهدف هذا البحث إلى تقديم دراسة تحليلية شاملة للرؤية الشعرية التي تميز بها ابن هذيل، مع التركيز على التشكيل البلاغي والفني في أعماله الشعرية. يستند البحث إلى استكشاف كيفية تأثر ابن هذيل بالبيئة الثقافية والاجتماعية للأندلس، والتي كانت آنذاك مركزًا للتفاعل الحضاري بين الشرق والغرب. من خلال هذه الدراسة، يتم تسليط الضوء على دور الطبيعة في تشكيل الصور الشعرية لدى ابن هذيل، حيث لم تكن الطبيعة مجرد خلفية للأحداث، بل كانت تعبيرًا عن حالاته النفسية وتأملاته الفلسفية. كما يستعرض البحث التأثيرات الثقافية بين المشرق والأندلس وكيف ساهم هذا التفاعل في صقل أسلوب ابن هذيل، الذي تمكن من دمج العناصر المشرقية في قصائده الأندلسية بأسلوب مبتكر. من خلال دراسة مقارنة بين أسلوب ابن هذيل وأساليب معاصريه من الشعراء الأندلسيين، يوضح البحث مدى تفرد ابن هذيل في استخدام الرمزية والتشبيهات المركبة، مما أضفى على شعره عمقًا فلسفيًا وجماليات بلاغية متميزة.هذا البحث يسعى إلى تقديم رؤية متكاملة عن دور ابن هذيل في تطوير الشعر العربي، موضحًا كيف ساهمت البيئة الأندلسية الغنية وتنوعها الثقافي في صياغة هويته الشعرية، مما يجعله نموذجًا مهمًا لدراسة تطور الشعر العربي في تلك الفترة. من خلال فهم أعمق للرؤية والتشكيل في شعر ابن هذيل، يقدم البحث إسهامًا مهمًا في الأدب النقدي العربي، ويسلط الضوء على أهمية البيئة الثقافية في تشكيل الشعراء وتأثيرهم في الأدب العربي بشكل عام
المفارقة في لماذا تركت الحصان وحيداً لمحمود درويش
Authors: Ahmed Ibrahim Ahmed Aljoranie  , George Saadeh
Published: October 2024

يتناول هذا البحث المفارقة بوصفها سمة من سمات اللغة الشّعريّة لدى محمود درويش في ديوانه (لماذا تركت الحصان وحيداً)، و في سبيل تجلية ذلك اعتمد البحث المنهج الوصفي التّحليلي؛ و ذلك من خلال تقديم دراسة وصفيّة نظريّة للمسألة المدروسة؛ و إشفاع ذلك بدراسة تطبيقيّة تحليليّة تبيّن الغاية و الجماليّة النّابعة من توظيف تلك الظّاهرة. و من ثمّ فقد تمّ تقسيم الدّراسة إلى مبحثين؛ اختصّ الأوّل منهما بتقديم تحديدات نظريّة لمفهوم المفارقة و آليّاتها مثل السّخريّة، و المبالغة، و الإيجاز، و التّضاد، و أنماطا و من أبرزها: لمفارقة اللفظيّة، والمفارقة الرّومانسيّة، والمفارقة البيانيّة. وخصّصنا المبحث الثّاني للدّراسة التّطبيقيّة التي تستقصي نماذج لتلك الآليّات و الأنماط في الدّيوان المختار، و تدرسها دراسة تحليليّة تبين بناء المفارقة و جماليّاتها في لغة محمود درويش. وقد خلص البحث إلى جملة من النّتائج كان من أبرزها أنّ المفارقة في شعر درويش كانت مطلباً أسلوبيّاً ووسيلة عمد إليها للبوح بكثير من مشاعره و أفكاره التي قد يمنعه كبرياؤه أو الوضع السّياسي و الاجتماعي من التّصريح بها؛ فكانت المفارقة خير وسيلة للتّعبير عن ذلك.
Deep Learning Approaches for Gender Classification from Facial Images
Authors: Habeeb Mustafa Abdulfattah , Khaleel Yahya Layth , Ismail Reem D. , Al-Qaysi Z.T. , Ameen Fatimah N.
Published: October 2024

Gender recognition on the facial level is considered one of the most important technologies that finds use in such fields as a personalized marketing plan, safe systems of authentication, and effective human-computer interfaces. However, it has the following challenges; variation of lighting, facial movement, and ethnic/age face images. AI and DL has been improving on the effectiveness, flexibility, and speed of the gender classification system. AI enables complex and automatic feature learning in Data, while DL is tailored for handle variants in vision-based data. In this paper, we evaluated several architectures including Efficient Net_B2, ResNet50, ResNet18, and Lightning whilst determining the performance of the architectures in gender classification tasks. Self-assessment criteria included accuracy, precision, recall, and the F1-score. As for the performance, we found that ResNet18 had the highest scores on all the metrics, with the validation accuracy of above 98%, closely accompanied by the ResNet50 that, although it performed well as well, needed more epochs for convergence. The implications of this study for the development of future work in the gender classification technology include the discovery of ethnical, dependable, and effective techniques. Through the consideration of the state of the art and case studies, stakeholders can optimise the efficacy and the accountability of such systems, and thus support societal gains as a result of the improvement in technology.
Deep Learning Model for Hand Movement Rehabilitation
Authors: Ismail Reem D. , Hameed Qabas A. , Habeeb Mustafa Abdulfattah , Khaleel Yahya Layth , Ameen Fatimah N.
Published: October 2024

Electroencephalography (EEG) can control machines for human purposes, especially for disabled people doing rehabilitation exercises or regular tasks. Brain-computer interface (BCI) for Robotic hand uses deep learning to convert (EEG) brain activity into orders for robotic hand allowing users to move their hands right or left by the movement imagining. It could enable paralyzed individuals to perform basic hand movements and help in rehabilitation robots that help stroke patients regain hand function by offering guided exercises based on machine learning interpretations of their movements and intents. Artificial intelligence algorithms, particularly deep learning, classify and recognize patterns and intents implicit brainwaves as electroencephalography. However, EEG signals have a high degree of no stationarity, making their analysis challenging. As a result, selecting a suitable signal-processing strategy becomes critical. This study aimed to build a hybrid model to direct robotic arm movement, which applied movement direction and right or left classification. By integrating a pre-trained convolutional neural network (CNN) - the Inception V3 Model with a traditional machine learning algorithm (logistic regression (LR)), which is considered an extensive classification method, as well as identify a suitable signal processing method, the short-time Fourier transform (STFT) and continuous wavelet transform (CWT) to select the most accurate method for proposed model's classification. The training results of the proposed hybrid model show that STFT achieves higher average accuracy (0.998) than CWT (0.997), making it more precise for classifying the current dataset of nine subjects and enhancing the effectiveness of hybrid CNN model training. Similarly, the evaluation result of the average accuracy achieved by STFT is higher than that achieved by CWT in the evaluation metrics (0.997 > 0.797). This suggests that STFT is a superior choice for feature extraction, improving the generalization and robustness of the hybrid CNN model with logistic regression.
The Hadith
Authors: Al -Muhammadi Abdul Qadir Mustafa , Awad Hossam Mashkhr
Published: October 2024

The Hadith, which contains the sayings, actions and approvals of the Prophet Muhammad (PBUH) is considered to be the second primary source of Islamic jurisprudence. This editorial discusses the main sources, collection and construction of Hadith explaining how it has a crucial bearing on interpreting Islamic law, ethics and everyday activities. The dilemmas of Hadith interpretation through the ages and its relevance to modern ethical areas such as social justice, environmental stewardship, and human rights are examined. The editorial also shows that scholarly work to conserve and interpret the Hadith for current day is ongoing. Digital delivery improves access to Hadith Databases in continuing the circle of progress related to Islamic scholarship through technology. This paper makes a case for re-engaging with Hadith to help sustain its guidance among individuals and communities.
The Holy Quran
Authors: Al-Ani Asma Abdul-Qader Abdullah , Al-Khasawneh Imad Abdul-Karim Saleem
Published: October 2024

This paper provides an editorial reflection on the enduring relevance of the Holy Quran as a foundational text in Islam. The Quran, which is believed to be the word of God as revealed to the Prophet Muhammad, serves as a comprehensive guide for Muslims in both spiritual and worldly matters. It addresses ethical dilemmas, social justice, governance, and personal conduct, offering timeless wisdom for modern society. The paper explores the structure of the Quran, its literary and linguistic excellence, and its profound impact on Islamic civilization. Furthermore, it delves into the various interpretations of the Quran and discusses its continued relevance in addressing contemporary global issues such as social justice, environmental ethics, and interfaith dialogue.
The Prophet Muhammad
Authors: Abdelbanat Abaker , Matlab Abdul Rahman Khalaf
Published: October 2024

Life of Prophet Muhammad (PBUH) is a unique model for spiritual, moral, and ethical guidance. And as the final prophet of Islam, his teachings (in both the Quran and Hadith) remain a significant influence in the lives of over a billion Muslims globally. The major features of his life were described in some detail, beginning with the years he spent in Mecca, wrestling with the revelations that came to him; his migration to Medina and subsequent role as the leader of a nascent society, founded on principles of social justice; and culminating in his final sermon that enjoined unity among citizens irrespective of their tribe, race or colour. Moreover, the legacy of the Prophet in modern times provides framework for tackling pressing contemporary challenges of social Justice, diplomacy and environmental protection. The teachings of Prophet Muhammad (peace be upon him) are still used as guidance for everyday personal behavior and collective prosperity.
THE EFFECT OF SIGPROCARE HOCl 0.01% ON TIME MANAGEMENT OF DIABETIC MELLITUS WOUNDS IN BUKITTINGGI CITY IN 2024
Authors: Lazdia Wenny , Mohd Said Faridah , Nambiar Nisha , Febrina Wiwit
Published: October 2024

Diabetes mellitus is a chronic disease cause by high leves of glucose in the blood, as well as accompanying metabolic disoders. One of the main factors causing diabetes mellitus wwounds is lifestyle, including the consumption of high-sugar foods. This research aims  to determine the effect of using Sifprocare HOC1 0.01% on the wound healing proceess of diabeetes mellitus in Bukittinggi City. The method used was quantitative research with a Quasi-Ecperimental design and One Group Pretest-Posttest approach. The populastion in this research were all patients with indications of diabetes mellitus wounds in Bukittinggi City, and the research was conducted from February to June 2024. The research sample amounted to 10 respondents who were selected purposively. Data were analyzed univariately and bivariately using the BWAT (Bates-Jensen Wound Assessment Tool) obervation sheet and wound care SOP with Sigprocare HOC1 0.01%. The results of univariate analysis showed that the average diabetes mellitus wound score before Sigprocare HOC1 0.01% was 35.3, and after teatment the average dropped to 25.7. The result of biavariate analysis showed a significant effect of using Sigprocare HOC10.01% in the wound healing process of diabetes mellitus with a P value (0.000) < a (0.05). The implication of thi research shows that Sigprocare HOC1 0.01% is effective in helping in healing process of diabetes mellitus wounds, so it is hoped that repondents can apply its use and maintain wound hygiene to accelerate recovery.
Pengaruh Lingkungan Kerja, Kepuasan Kerja, dan Beban Kerja Terhadap Kinerja Pegawai
Authors: Nurhandayani Annisa
Published: October 2024

This study aims to determine and analyze the influence of the work environment, job satisfaction, and workload on the performance of employees of the Aceh Tamiang Regency Public Works and Public Housing Office, totaling 81 people. This study uses validity and reliability analysis for a questionnaire test. Then a regression analysis was carried out to see how much the correlation was between each independent variable and the dependent variable using statistical tools (SPSS). From the research it was obtained that partially the work environment, job satisfaction and workload do not have a significant effect on the performance of employees of the Public Works and Public Housing Office of Aceh Tamiang Regency, but simultaneously work environment, job satisfaction and workload have a significant effect on the performance of employees of the Public Works and Public Housing Office of Aceh Tamiang Regency.
Implementasi Teknologi Digital Dalam Pemasaran Usaha Sayur Hidroponik Surabaya
Authors: Aini Mufidah Ismi , Ayu Aulia Melly Eka , Dewi Safitri Kartika , Ikhwan Abdillah Mohammad , Rahmawati Lilik
Published: October 2024

This article examines digital implementation in marketing hydroponic vegetable businesses with a focus on hydroponic vegetable garden businesses in Surabaya. The main aim of this article is to understand how digital technology has become an important instrument in marketing hydroponic vegetable businesses. This article uses a qualitative approach with interview, observation and literature study methods to collect data from the Surabaya Vegetable Garden. The results of the article show that the digital technology used for marketing hydroponic vegetables has had a significant positive impact on the business at the Surabaya Vegetable Garden. Implementation of digital technology in marketing, which includes sales and promotions carried out on social media for hydroponic vegetables in the Surabaya Vegetable Garden by utilizing current technology. This article contributes to the understanding of digital technology used in the marketing system by Kebun Sayur Surabaya and the policy implications resulting from this article are the need to increase the effectiveness and efficiency of digital marketing.
Pengaruh Brand Image, Selebriti Endorse dan Label Halal Terhadap Keputusan Pembelian Dengan Kepuasan Pelanggan Sebagai Variabel Intervening (Studi Kasus Konsumen Luwak White Koffie di Kab. Semarang)
Authors: Hasan Saputra Fendi , Nabila Rifda
Published: October 2024

This study aims to determine how the influence of brand image, celebrity endorsements, and halal labels on purchasing decisions with customer satisfaction as an intervention variable (a case study of white civet civet consumers in Semarang Regency). This research is a quantitative study using primary data with a population of all people in Kab. Semarang, which has consumed civet white coffee products. The sampling technique used purposive sampling technique, with the slovin formula which produced 100 samples with the data collection method using a questionnaire. The data were processed using the IBM SPSS statistical software version 20. Through data analysis that has been carried out it shows that: brand image has a significant positive effect on purchasing decisions, while celebrity endorsements and halal labels have no significant effect on purchasing decisions, customer satisfaction can mediate brand image on decisions purchases, while celebrity endorsements and purchase decisions cannot be mediated by customer satisfaction.
Karakteristik Faktor Penentu Keputusan Belanja Online
Authors: Yanto Deri , Siregar Nurhayati , Suryana Melda
Published: October 2024

The pandemic that has lasted since 2020 until now has made most people decide to shop online. Many factors be the reasons why someone makes a decision to shop online. This study aims to describe the characteristics of the driving and inhibiting factors for online shopping decisions during the 2022 pandemic. The research method is descriptive with a cross-sectional study using an online survey google form with voluntary online responsive survey and obtained 251 respondents. The results showed that the reasons for driving online shopping decisions were 80.1% practical, cost and time efficient, 60.2% cheaper price factor, 55.8% ease of comparing and choosing products, 50.6% free shipping facilities, 40,6% discount / sale, 39.8% promotional factors, Reasons of hesitation to shop online are 61.8% the quality of the goods is not as expected, 57.8% the product does not match the description, 35.9% doubts the authenticity of the goods, 33 ,5% worried about being lied to by the seller. The price factor, security during the pandemic, convenience, easyness are the reasons for driving motivational online shopping during the pandemic,