bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Marketing Strategies on Strengthening the Image of Public Universities in Ecuador
Authors: Cerón Silva Silvana Andrea , Ochoa Inga Sandra Piedad , Paredes Montero Jorge Manuel , Salama Muhammad Islam Muhammad
Published: October 2024

This article analyzes how marketing strategies impact the strengthening of public universities' images in Ecuador. In a systematic literature review, it shows that the main problems affecting institutional reputation are found in the lack of qualified personnel in their communication departments, as well as administrative management deficiencies. Then, it introduces some of the emerging relational tools, like artificial intelligence and neuromarketing, whose effectiveness has been already tested with a view to improving institutional perception. The competitiveness theory will provide insights for understanding how universities can acquire differential advantages within an increasingly globalized and competitive market for educational services. It follows that effective marketing strategies, digital marketing, and personalized contents help in increasing visibility, thereby attracting more students and enabling international collaborations. The article concluded that what public universities need to do is integrate such strategies coherently with their institutional objectives for effective positioning and improved public perception.
Violencia política como parte de la violencia de género. Estudio comparado entre Ecuador y México
Authors: Párraga Roldán Ximena Gabriela , Villalva Fonseca David Gonzalo
Published: October 2024

La presente investigación, que lleva por título “Violencia política como parte de la violencia de género. Estudio comparado entre Ecuador y México" se centra en la violencia política como una manifestación de la violencia de género, analizando específicamente los casos de estos dos países, con el objetivo de evaluar el nivel de regulación normativa tanto a nivel nacional como internacional sobre este aspecto y cómo estas regulaciones afectan la práctica política en ambos países. El estudio aporta a la comprensión de cómo la violencia política basada en género vulnera derechos de la mujer y es obstáculo para la participación de las mujeres en la vida política y cívica. La metodología de investigación utilizada es de tipo cualitativo, permitiendo una exploración bibliográfica de las normas, estudios, experiencias, percepciones y prácticas relacionadas el tema; método empleado para la recolección y análisis de datos. Los hallazgos muestran que, tanto en Ecuador como en México, a pesar de contar con marcos legales de progreso para combatir la violencia de género, la implementación efectiva de estas leyes es deficiente, y la violencia política de género sigue siendo un problema que afecta poniendo a las mujeres en situaciones de violencia, diversos tipos de agresiones y discriminación, y entorpeciendo su pleno derecho a la participación en procesos y actividades políticas. Los resultados también indican que la violencia política de género en ambos países supera los marcos normativos, exhibiendo la necesidad de fortalecer la regulación y la aplicación normativa, y accionar desde las raíces socioculturales para asegurar la protección y cumplimiento de derechos a futuro. La investigación finaliza concluyendo que la igualdad de género en la política no solo depende de la existencia de leyes, sino de su efectiva implementación y de un cambio cultural que erradique las prácticas discriminatorias.
Structural Design of The Building Grand Diara Cileungsi Hotel 10 Floor
Authors: Purwanto Doni , Hanun Yunan , Rutama Dedy
Published: October 2024

Hotel buildings are tall buildings that have a fairly complex design. This research will discuss the design of the upper structure of the Grand Diara Cileungsi hotel building including beams, columns, and floor plates. The design of this upper structure also takes into account the loads acting on the structure such as dead loads, live loads, and earthquake loads by using a moment-bearing frame system. This building is designed based on SNI 2847-2019 and SNI 1726-2019 to design earthquake-resistant buildings. The building structure design stage begins with the collection of structural design data which is then modeled in ETABS 19.0.2 software. After modeling in ETABS software, the design recommendations on concrete structures are as follows; 120 mm thick plate with a ratio of (0.79%), 100 mm thick plate for the roof with a ratio of (0.65%) Main Beam (350 x 650 mm with a ratio of 1.34%), Child Beam (300 x 500 mm with a ratio of 0.67%), Child beam (300 x 500 mm with a ratio of 0.67%). 67%) and sub-beams (250 x 350 mm with a ratio of 0.67%), (Concrete columns 600 x 600 mm with a ratio of 1.29%) and (400 x 400 mm with a ratio of 1.93%) with concrete quality (fc') = 30 Mpa and flexural reinforcement quality is (fy) = 420 Mpa.
Prototype Design of Radio Frequency Energy Harvesting for Lighting Applications
Authors: Rohana Assa Kesthy , Djatmiko Wisnu , Sandi Efri , Pangestu Agung , Al Hakim Rosyid Ridlo
Published: October 2024

The prototype resonant frequency is designed to work at 150 MHz. The signal source prototype is the signal that comes from handy talky (HT). There are two subsystems, which are Matching Impedance and Voltage Multiplier. The resonant frequency of the matching impedance subsystem at 143 MHz from 0.053 mH inductor and 0.0233 pF capacitor. The output of the matching impedance subsystem is then amplified by the multiplier voltage subsystem using parallel PH4148 diodes with the 6-stage multiplier. Load prototype is a CR-151 LED that works at 12 volts 1 watt. When the HT battery has a voltage of 7.3 volts, the prototype can turn on the lamp with the distance between the TX antenna and the antenna on the prototype less than 36 cm. The maximum voltage on the load is 6.8 volts with a length of 5 cm between the antenna and the lamp 774 lumen.
Uma proposta extracurricular para a introdução da educação financeira na etapa final do ensino fundamental
Authors: Pereira Patricia da Silva , Damasceno Talita , Alencar Alexsandro
Published: October 2024

No contexto das crescentes e rápidas mudanças econômicas e globais, a educação financeira configura-se como um importante instrumento de tomada de decisões e de organização da vida pessoal. Essa questão ganha relevância nas escolas, uma vez que os jovens necessitam enfrentar desafios financeiros cada vez mais cedo. O presente trabalho trata-se de um relato de experiência cujo objetivo é mostrar os resultados de uma oficina sobre educação financeira realizada no âmbito de uma atividade prática da disciplina de Prática de Ensino de Matemática, no Curso de Licenciatura em Matemática da Universidade Regional do Cariri (Urca), no campus de Juazeiro do Norte. A oficina foi realizada em uma turma do 9º ano da Escola de Ensino Fundamental Dr. Edvard Teixeira Férrer, no município de Juazeiro do Norte, e objetivou a apresentação de conceitos básicos para a conscientização de uma educação financeira aos jovens estudantes, mediada pelo uso de um jogo educativo digital, denominado Perseguição em Labirinto. Como metodologia, foi utilizado um questionário, além de rodas de conversas, atividades teóricas e práticas, bem como a plataforma online do referido jogo, no intuito de estimular o aprendizado de conceitos básicos de educação financeira. Discutimos os conceitos de educação financeira, letramento financeiro e jogos educacionais digitais. Como resultados, notamos mudanças de atitude no posicionamento dos alunos em relação à diferença entre desejo e necessidade, bem como na discussão sobre compras à vista ou a prazo, saúde financeira, porcentagem e juros. Concluímos, ainda, que há a necessidade de desenvolver nas escolas e nos cursos de licenciatura em Matemática uma abertura maior para a educação financeira. A sua implementação facilitará a vida de milhares de jovens que possuem pouco letramento financeiro, principalmente no início da vida adulta, ao saírem da escola básica. Percebemos que eles estão abertos a discutir e aprender sobre o tema, e que as instituições precisam se aproximar desses jovens por meio recursos e de uma linguagem mais próxima à realidade cultural dos estudantes.
Aprendizagem Cooperativa no ensino de multiplicação e divisão no período pandêmico: uma análise através da Teoria Antropológica do Didático
Authors: Figueiredo Talyta Sampaio , Rodrigues Rochelande Felipe
Published: October 2024

A presente pesquisa foi fruto de um projeto desenvolvido no período pandêmico, cenário ocasionada pelo vírus Sars-cov2 (COVID-19). Sabemos que o sistema educacional necessitou reinventar-se mais uma vez, através das aulas remotas, onde aplicamos a proposta aqui descrita. O principal objetivo deste trabalho foi realizar uma análise da Aprendizagem Cooperativa, através da Teoria Antropológica do Didático (TAD), direcionado aos conteúdos matemáticos de divisão e multiplicação, quais foram escolhidos conforme o desenvolvimento da aula do professor, no contexto do estágio supervisionado como continuidade da ementa proposta no bimestre. Desta forma, a metodologia foi de cunho qualitativo, desenvolvida com duas turmas de 8º ano de uma escola de Educação Básica no decorrer do estágio supervisionado III. Ademais, para o processo de aplicação, as duas turmas foram divididas em seis grupos, para que assim trabalhassem de forma cooperativa na resolução da atividade propiciando momentos de interação, através de um aplicativo de mensagens. Mediante aos estudos, notou-se o quanto se faz necessário abordar novas metodologias nas aulas, como no caso a aprendizagem cooperativa, que retrata a cooperação entre os discentes, possibilitando um trabalho em equipe que auxilie no protagonismo e no conhecimento acerca dos conteúdos estudados. Nesta perspectiva, sob o olhar da TAD, percebemos que foi possível que os alunos desenvolvessem diversas técnicas para resolução, obtendo-se os resultados esperado das questões apresentadas, além disso notamos que os discentes estão acostumados a desenvolverem as técnicas mais comuns de resoluções tanto para a multiplicação, como também a divisão.
O Pibid e a construção da identidade profissional dos futuros professores de matemática
Authors: Costa Vivian Maria Mendonça , Silva Simone Cesar da
Published: October 2024

O presente artigo trata objetivamente de um estudo realizado no sentido de se identificar como as vivências no Programa Institucional de Bolsa de Iniciação à Docência (Pibid) fomentam os aspectos que compõem a identidade profissional docente (IPD) dos futuros professores de matemática, pela compreensão de que tal IPD é mobilizada em experiências e reflexões ao longo da formação docente. Com a adoção de uma metodologia de abordagem qualitativa, realizada com pesquisa bibliográfica, documental e de campo, realizou-se a aplicação de um questionário semiestruturado destinado a ex-bolsistas do Pibid a fim de analisar as respostas dadas quanto às experiências vividas, aos desafios encontrados e às aprendizagens e implicações alcançadas no processo de formação docente no âmbito do Programa. O questionário foi enviado a 24 (vinte e quatro) ex-bolsistas de iniciação à docência do subprojeto Pibid Matemática IFCE/Fortaleza e respondido por 17 (dezessete) deles. Os resultados revelaram que a participação no Programa contribuiu para o desenvolvimento de aspectos identitários dos pibidianos por meio de experiências de conscientização crítica sobre a docência, em especial a compreensão do papel relevante do professor no processo de mudanças sociais e educacionais; por meio também de suas percepções sobre a docência relacionadas ao compromisso com o desenvolvimento abrangente dos alunos e a responsabilidade social do professor; pelo trabalho formativo realizado com professores experientes e pelas experiências de socialização comumente vivenciadas na profissão. A partir destes dados, conclui-se que as vivências proporcionadas pelo Pibid contribuíram para a construção da identidade profissional docente dos licenciandos em matemática, graças às experiências práticas valiosas e à promoção de reflexões profundas sobre a profissão docente. Destaca-se que futuras pesquisas podem, ainda, explorar as contribuições do Pibid em diferentes contextos educacionais.
Conhecimentos e práticas matemáticas na confecção de roupas de Santa Cruz do Capibaribe/PE
Authors: De Brito Amorim Maria Joane , Estrela Ferreira Barbosa Daiana
Published: October 2024

A Etnomatemática é um campo de estudo que busca entender como diferentes culturas e grupos étnicos concebem, utilizam e ensinam matemática. Apesar de sua importância na Educação Matemática, a Etnomatemática enfrenta desafios, especialmente, devido às ideias preestabelecidas sobre o que é considerado matemática e como ela é tradicionalmente ensinada e aplicada. Neste viés, este trabalho apresenta os resultados de uma investigação que visou explorar os saberes e fazeres matemáticos utilizados por fabricantes de roupas a partir da perspectiva da Etnomatemática. A metodologia utilizada foi de caráter qualitativo, configurando-se como uma pesquisa de campo. Os dados foram coletados a partir de entrevistas semiestruturadas aplicadas a fabricantes de roupas da cidade de Santa Cruz do Capibaribe – PE. Para a análise, tomamos como principal referência os pressupostos teóricos de D’Ambrósio, entre outros autores, que pesquisam na área da Educação Matemática. Como resultados, destacamos que os métodos matemáticos estão integrados ao cotidiano dos participantes e que o conhecimento relacionado a esses métodos foram assimilados através das vivências e práticas diárias. Isso nos leva a inferir que a forma como aprenderam a fazer matemática está articulada ao contexto cultural ao qual estão inseridos. Evidenciamos a presença da Etnomatemática nas práticas dos fabricantes, impactando na aquisição de conhecimentos essenciais para o trabalho. Além disso, destacamos a compreensão da Etnomatemática para uma Educação Matemática mais democrática e acessível, que valoriza a diversidade cultural e promove aprendizagens ao conectar teoria e prática nos diversos contextos sociais e culturais.
GeoGebra na formação de professores: a utilização do software nas aulas de matemática
Authors: Lima Maria Elaine Martins de , Silva Gislaine Oliveira , Rodrigues Rochelande Felipe
Published: October 2024

A utilização de recursos tecnológicos como o GeoGebra é extremamente fundamental para integrar tecnologias e matemática de forma eficaz ao ensino. Além disso, por ser um software livre e dinâmico, torna-se bastante essencial no processo de ensino, pois permite que professores e alunos explorem conceitos de forma interativa. Este estudo teve como objetivo apresentar a importância da utilização do GeoGebra no processo de formação continuada de professores de matemática, buscando, ainda, mostrar mais uma forma de desenvolver um conteúdo matemático utilizando o software. A metodologia desenvolvida para este estudo é de cunho descritivo e qualitativo, a fim de selecionar e identificar textos pertinentes à pesquisa, bem como um mapeamento vertical e horizontal. Para melhor conclusão da pesquisa, tomando por base as pesquisas realizadas. Concluiu-se que, ao implementar o GeoGebra na formação de professores, é possível desenvolver habilidades pedagógicas eficazes promovendo, assim, resoluções de problemas e visualizações de elementos matemáticos. As leituras e a execução dos artigos nos permitiram concluir, também, que o GeoGebra é utilizado por um quantitativo considerável de professores da educação básica de ensino.
Projeto LABMATI: uma experiência com o uso do algeplan para o ensino de algebra dos anos finais do ensino fundamental
Authors: Nunes Cardoso Maria Eduarda , Fernandes Fontenelle Francisca Claudia
Published: October 2024

Partindo da hipótese de que, quando aliados a uma intenção pedagógica, jogos e materiais manipuláveis podem facilitar e favorecer, significativamente, o processo de aprendizagem, este trabalho tem como objetivo apresentar um relato de experiência com a utilização do Algeplan como facilitador do ensino, destacando algumas contribuições desse material manipulável no processo de aprendizado de polinômios de alunos do 8° ano do Ensino Fundamental em uma escola no município de Guaraciaba do Norte/CE. Algeplan é um quebra-cabeça que relaciona figuras geométricas com expressões algébricas. Com ele foram desenvolvidas três atividades contemplando o conteúdo proposto: modelagem e classificação de polinômios; adição, subtração e simplificação; e multiplicação. A experiência aconteceu como ação de extensão prevista no projeto Laboratório de Ensino de Matemática Itinerante (LABMATI). Participaram 30 alunos do 8º ano, cujo critério de seleção baseou-se, principalmente, nas dificuldades com a álgebra, identificadas com apoio da coordenadora da escola. Com o Algeplan, os alunos tiveram mais facilidade de identificar e operar com os termos de parte literal semelhante, diferente de quando tentavam realizar os cálculos da forma tradicional. Notou-se também uma participação maior dos alunos outrora mais tímidos e/ou dispersos, mostrando-se mais interessados em realizar as operações com o quebra-cabeça matemático. As adversidades surgidas durante a aplicação deram-se por motivos externos ao Algeplan como conhecimento do cálculo de área de figuras planas e identificação de dimensões. Por fim, conclui-se que foi uma experiência satisfatória, pois o bom uso de materiais didáticos proporcionou tanto a aquisição de novos conhecimentos, como o fortalecimento de antigos, e uma melhora perceptível no perfil dos alunos participantes.
Descomplicando a Geometria através da Arte e cultura afro-brasileira
Authors: Teodosio Elaine
Published: October 2024

A aprendizagem em Matemática na Educação Básica é considerada complexa, exigindo um maior esforço para consolidação do conhecimento. Outro ponto que destacamos é que as atividades desenvolvidas em Matemática priorizam, na maioria das vezes, exercícios que focam  apenas na manipulação e repetição de fórmulas em detrimento da compreensão do conceito e da aplicação, as quais os alunos não se sentem estimulados e/ou instigados a produzir conhecimentos. Nas aulas de Geometria, essa situação não é muito diferente. Portanto, o presente trabalho partiu da preocupação de professores e estudantes na construção e na reconstrução dos conceitos geométricos de modo que a aprendizagem seja colaborativa, reflexiva e significativa, portanto o nosso foco é dirimir dificuldades, percebidas em sala de aula, e dessa forma ensinar e aprender assuntos de Geometria a partir da influência e valorização  artística da Cultura Afro-brasileira e Africana nos conteúdos de Matemática, respeitando a identidade étnica/racial e cultural de modo a proporcionar aos estudantes protagonismo e refletir sobre conceitos envolvendo simetria, padrões geométricos, polígonos regulares, ângulos e construções geométricas, utilizando técnicas de arte e aplicando a metodologia ativa: aprendizagem baseada em problemas, que é uma metodologia que consiste no ensino centrado no estudante, baseado na resolução de problemas, de forma a colocar a “mão na massa” durante o processo aprendizagem, favorecendo que o estudante tenha autonomia, exercendo um papel ativo  neste processo. Dessa forma, a arte pode possibilitar aos estudantes outra perspectiva em relação ao estudo de Matemática, além disso pode despertar o interesse, curiosidade e possibilidade de elaborar composições artísticas baseadas em formas geométricas e simetria inspirados pela as representações de arte afro-brasileiras.
Indicadores de qualidade da atenção a usuários com diabetes na Atenção Primária à Saúde do Brasil
Authors: Tomasi Elaine , Silveira Denise Silva da , Neves Rosália Garcia , Thumé Elaine , Cesar Maria Aurora Droppa Chrestani , Barros Nicole Rios , Facchini Luiz Augusto
Published: October 2024

Introdução: Diabetes mellitus (DM) é uma doença crônica, não transmissível, cuja prevalência tem aumentado mundialmente. Seu manejo adequado na Atenção Primária à Saúde (APS) pode reduzir suas complicações e as internações por condições sensíveis à atenção primária. Objetivo: Comparar indicadores de qualidade da atenção a pessoas com diabetes atendidas na rede básica de saúde do Brasil e suas diferenças por região. Métodos: Com delineamento transversal, utilizaram-se dados dos Ciclos I e III do Programa de Melhoria do Acesso e da Qualidade (PMAQ). Os desfechos foram indicadores sintéticos, operacionalizados a partir de 24 variáveis: i) acesso; ii) disponibilidade de insumos e equipamentos em condições de uso; iii) disponibilidade de medicamentos em quantidade suficiente; iv) organização e gestão; v) cuidado clínico; e vi) relato de cuidado adequado. Foram calculadas as diferenças em pontos percentuais (p.p.) dos indicadores entre 2012 e 2018, e os dados foram estratificados por região. Resultados: No geral, houve uma melhora no cuidado à pessoa com DM na APS do Brasil e regiões entre as equipes participantes do PMAQ, entre 2012 e 2018. As prevalências de acesso, disponibilidade de insumos/equipamentos, medicamentos, oferta, organização e gestão apresentaram aumento de, no mínimo, 10 p.p. no período de 6 anos, mas podem melhorar. Conclusões: Considerando que a ocorrência de DM está aumentando no país, faz-se necessário maior investimento na estrutura dos serviços e em programas de educação permanente dos profissionais de saúde.
Investigation of the Anticholinesterase and Antioxidant Activity of Several Iranian Thymus caramanicus Populations
Authors: Lotfi Safa , Bagheri Reza , Sadeghi Batoul , Rahmati Moghadam Parvaneh
Published: October 2024

Background: Thymus extracts have become attractive targets for screening bioactive compounds with potential applications in pharmaceuticals, food, and cosmetics industries. Objectives: This is the first report assessing the anticholinesterase and antioxidant activities, along with total phenolic and flavonoid contents (TPC and TFC), of hydroethanolic extracts from six populations of Thymus caramanicus Jalas at vegetative and flowering stages, collected from different regions in Kerman province, Iran. Methods: The anticholinesterase and antioxidant activity, as well as TPC and TFC of T. caramanicus hydroethanolic extracts, were evaluated using Ellman, DPPH, Folin-Ciocalteu, and aluminum chloride assays, respectively. Results: All extracts inhibited both acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE) enzymes, with most showing a stronger effect on AChE. The extract T2-F exhibited the highest anti-AChE (IC50: 28.74 ± 0.21 µg/mL) and anti-BuChE (IC50: 65.49 ± 0.81 µg/mL) activities. The DPPH results indicated overall suitable antioxidant activity, with T4-F showing the highest antioxidant capacity (IC50: 16.22 ± 0.07 µg/mL), though about 4.2 times lower than ascorbic acid. The TPC (76.60 ± 0.98 - 211.73 ± 2.13 mg GAE/g extract) and TFC (19.15 ± 0.09 - 53.90 ± 0.13 mg QE/g extract) analyses revealed that T6-V and T5-F are rich sources of polyphenolic and flavonoid compounds. Pearson’s correlation analysis showed no direct correlation between TPC and TFC with their anticholinesterase and antioxidant activities. Conclusions: The hydroethanolic extracts of T. caramanicus demonstrated significant anticholinesterase and antioxidant activities, making them promising candidates for further studies aimed at developing therapeutic compounds with dual anticholinesterase and antioxidant properties, potentially for treating Alzheimer's disease (AD).
Giant cell Fibroma of Lip: A case report
Authors: Sangala Bhavani , Kavle Pratibha , Sachdev Sanpreet , Buva Kirti , Deshpande Sneha , Kale Pallavi
Published: October 2024

This case report describes a rare presentation of a giant cell fibroma (GCF) on the labial mucosa of a 24-year-old female. GCF is a benign fibrous connective tissue neoplasm, typically occurring on the gingiva and tongue. The patient presented with a small, pedunculated nodule on the lower lip. A clinical diagnosis of irritational fibroma
was made, and excisional biopsy confirmed the presence of GCF based on histopathological examination, revealing characteristic stellate-shaped giant fibroblasts. The lesion was successfully excised with no recurrence at the one-year follow-up. This case highlights the importance of considering GCF in the differential diagnosis of benign fibrous lesions, even in atypical locations like the labial mucosa. Increased awareness and reporting of such cases can aid in better understanding the etiology and pathogenesis of GCF, ensuring accurate diagnosis and effective management.
Consumer Attitudes towards AI-based Financial Advice: Insights for Decision Support Systems (DSS) and Technology Integration
Authors: Zhang Shenyu
Published: October 2024

As financial technology (fintech) rapidly transforms the financial services landscape, the integration of artificial intelligence (AI) in providing financial advice becomes a focal point. This study delves into the intricate dynamics of AI-based financial advice adoption, focusing on technology integration, decision support systems, and the mediating role of perceived utility. The primary purpose of this research is to unravel the complex relationships between technology integration, Decision Support System (DSS), perceived utility, and their collective influence on consumer attitudes toward AI-based financial advice and technology adoption. Adopting a cross-sectional design, we target the Chinese population and utilize an online questionnaire for data collection. A sample size of 259 participants is determined using the rule of thumb technique, with random sampling ensuring representativeness. Data analysis will be conducted using the AMOS software, allowing for an in-depth examination of the relationships between variables. The study findings demonstrate how integrating technology enhances customers' perceptions and acceptance of it, especially when it comes to data security and compatibility. The study also demonstrates how customer attitudes and the uptake of AI-driven financial aid are significantly impacted by DSS aspects like decision transparency and predictive analytics precision. The study is unique because of its cross-cultural approach and perceived value as a mediating component. While this study focuses on the Chinese population, the researchers acknowledge the importance of cultural differences in shaping user perceptions and behaviors. While the findings may offer valuable insights into the Chinese context, caution is advised in generalizing the results to other cultural contexts.
Evaluating the Financial Returns on Investment in Sustainable Enterprise Digitalization Initiatives Using AI Information System
Authors: Li Naijiao , Huang Fei
Published: October 2024

With a focus on sustainability and IT changes, the companies even find an AI based system information system implementation in operations. This study analyzes the financial yield of return on investment (ROI) in the digitalization of leading edge enterprises, as well as finds out how AI information systems could achieve prosperity in both the economic and ecological spheres. The research utilizes a mixed-method methodology, combining the quantitative analysis of business finances from companies that have implemented intelligent environmental activities with qualitative case studies. Credit factors like ROI, NPV (net present value) and IRR (internal rate of return) together with environmental performance parameters are evaluated. Furthermore, by conducting surveys and interviews with trusted experts in the industry, the quantitative data is richer within it giving strategic and operational implications of the current initiatives. A study has been found that companies using AI for sustainability purposes are capable of returning very large financial results, much greater than the ones achieved by other digitalization initiatives. The study demonstrates that AI data systems boost efficiency, cut costs, and enhance market competitiveness. It highlights ecological benefits like reduced carbon footprints, efficient resource use, higher profits, and regulatory compliance. It guides stakeholders on AI investment for future ROI, advocating more AI technology funding. The research calls for an integrative approach that includes financial and sustainability measures to capture value. Incorporating AI in sustainable and eco-based digitalization is crucial for optimal financial and environmental outcomes. The organizations strategically utilizing the loop technology are also believed to have an advantage over others with regards to the current market landscape and will be able to make a balance between profitability and sustainable goals.
Emerging Trends in Real-time Recommendation Systems: A Deep Dive into Multi-behavior Streaming Processing and Recommendation for E-commerce Platforms
Authors: Wu Yong , Yusof Yuhanis
Published: October 2024

This paper aims to assess the effectiveness of recommendation systems, focusing on multi-behavior streaming processing to enhance accuracy. It studies recommendation system performance using AI and data science, focusing on user behaviour, algorithm refinement, and satisfaction. E-commerce, streaming, and social media datasets with 93 anonymous participants were employed in experiments. These files from 93 anonymized users show typical internet use. Data anonymization and strict data management ensured anonymity. These databases track clicks, views, purchases, and ratings for empirical research and model evaluation. Collaborative filtering, matrix factorization, and TensorFlow/Keras train and assess application-specific recommendation models. Multi-behavior streaming processing and recommendation accounts assess each method's pros and downsides, system correctness, efficacy, and user involvement. The outcome compares domain-wide recommendation system precision, recall, NDCG, and conversion rate. Multi-behavior streaming processing adapts to user preferences and interactions to improve model accuracy and adaptability. Multi-behavior streaming processing improved model accuracy and flexibility by reacting to user inputs and choices. With error margins for all significant metrics, statistical significance was confirmed. The findings suggest that recommendation systems with real-time adaptation and multi-behavior streaming processing can improve user satisfaction and engagement in the changing digital landscape. It encourages algorithm advancement, model interpretation, user-centric evaluation, and ethics to improve information retrieval and personalisation. The study concluded that algorithm refinement, transparent model interpretation, user-centric evaluation, and ethical problems including data protection and bias mitigation increase information retrieval and personalisation. For durable and flexible recommendation systems, research should improve multi-behavior processing and sectoral applications.
Unveiling the Dynamics of Entrepreneurial Leadership and Radical Innovation Performance of China Internet SMEs: Resource-based View
Authors: Yang Xilun , Entebang Harry
Published: October 2024

This paper explores the interconnection between entrepreneurial leadership and the radical innovation performance of SMEs in China’s web development industry. Applying RBV theory and a quantitative research design with Smart PLS analysis results in an inquiry of entrepreneurial leadership’s impact on innovative outcomes. A quantitative research design was chosen, using SmartPLS 4.0, with the sample population being Chinese internet industry employees working for SMEs. The sample was made up of 268 employees working in Internet related SMEs in China. The study has demonstrated a notable and positive link between entrepreneurial leadership and radical innovation performance, thus highlighting the crucial role of this function in promoting innovation among the highly competitive Chinese Internet possessions. This study highlights the most important moderating role of entrepreneurial orientation which is its being a mental bridge between entrepreneurial leadership and radical innovation outcomes. The research further gives an insight into the rising relationship between entrepreneurial leadership and entrepreneurial orientation as a result of the moderating effect of power distance within Chinese internet SMEs. Thus, this research provides important information for Chinese Internet small and medium-sized enterprises that intend to increase their radical innovation capacity. It is a blueprint for organizational development and leadership which are the key factors needed to foster the sustainable growth of the internet industry in this dynamic environment.
User Experience in Information System Platforms: A Study on Learning Styles and Academic Challenges
Authors: Yang Chongchong , Singh Soon Singh Bikar
Published: October 2024

Understanding student academic struggles and improving the use of information system platforms are essential for enhancing higher education. This study aims to examine how course management and student learning patterns affect higher education, particularly in the context of escalating academic challenges and competition in China. Using a quantitative-method approach, this research analyzes students' independent, cooperative, and inquiry learning styles to explore the relationship between course settings, student learning patterns, and academic difficulties using a 400 sample size. This study indicated that inquiry-based learning fosters critical thinking and deeper topic engagement but also provides academic challenges that can delay student progress. Inquiry-based learners struggle with time management and hard topics without institutional guidance, therefore they may not be right for all college students. The study found that current information system platforms encourage traditional or autonomous learning, which may preclude collaborative or inquiry-based learners. These platforms lack resources and adaptability to meet all learners' needs, which may harm academic success. Higher education benefits from supporting varied learning styles. To help diverse student groups overcome academic problems, information system platforms should contain more adaptive and specialist educational technologies. The study offers educators practical advice on creating a more inclusive curriculum that satisfies diverse learning needs by studying course administration and user experience. Real-time feedback and flexible modules may alleviate academic stress for inquiry-based learners. The findings also suggest that governments should promote more flexible educational technologies that can accommodate varied teaching techniques and student preferences.
Visual Inheritance in the Digital Age: Image Reconstruction of Shanghai Time-Honored Cosmetics Brands Under the Influence of Internet of Things
Authors: Nie Yan , Liu Fengguo
Published: October 2024

The agriculture sector possesses significant potential to satisfy the increasing global demand for nutritious and wholesome food. Pests significantly damage harvests and diminish quality, making it challenging for farmers to identify them in their fields. Conventional pest detection methods necessitate scientists with substantial field expertise to recognize pests based on their morphological traits accurately. Pesticides adversely affect food and agriculture. The Internet of Things (IoT) technology employs several cost-effective sensors to gather information on pest-related agricultural growth attributes. The study article seeks to create an AI-enabled, real-time, IoT-based autonomous pest identification system utilizing acoustic pest analysis and IoT networks across extensive rural areas. The suggested method employed audio pre-processing techniques for denoising pest sounds, mitigating spectral leaking, transforming interspersed frames to non-overlapping structures, converting time-domain signals to a frequency field, ascertaining the band spectrum, identifying sinusoidal frequencies and internal components, and extracting features, accordingly. Attributes and other statistical data were gathered from 500 pest noises and subsequently trained, verified, and assessed utilizing Machine Learning (ML) networks. The extracted characteristics and several statistical metrics were contrasted during the testing phase. The suggested system incorporates ML training, validation, and assessment approaches.
Application of the Internet of Things Technology in the Production and Dissemination of Intangible Cultural Heritage Micro-documentaries
Authors: Zhang Yadong
Published: October 2024

The oceans, as the forthcoming financial frontier, have precipitated disputes at the nexus of resource protection and abuse, a domain where customs and social norms converge. The present research, supported by research reviews, inquiries, and personal assessments, determines the primary policy, socio-economic, ecological, and cultural motorists of conflicts stemming from the interplay of recreational fishing a significant shipping activity in Mediterranean maritime safeguarded areas and other coastal consumers. Intelligent media is a new media form with the comprehensive application of mobile Internet technology, Internet of Things technology, big data technology, and artificial intelligence technology to realize high human-machine interaction and collaboration. The functions of information production, information experience, information push, information storage, and information utilization are realized through intelligent media and intelligent platforms. The application of smart technology builds a new form of communication, making the transmission of Intangible Cultural Heritage (ICH) more efficient and accurate. It can promote ICH's more effective dissemination and higher quality utilization through intelligent media technology by establishing a larger cultural communication platform, stimulating wider cultural consumption, and transforming cultural resources. ICH Fisheries Management (ICHFM) is an effective carrier of national spirit and emotion, representing the nation's past, present, and future, and is the core of social and cultural development. The protection and inheritance of ICH are related to the continuation and development of Chinese culture, and it is an essential cultural project that is urgently needed. As one of the products of human civilization, the ICHFM is facing a complex situation of coexisting challenges and opportunities in contemporary times, which needs to respond to the significant changes in living environment and values, and at the same time, it meets with the awakening of human awareness of cultural diversity and the improvement of cultural heritage protection ability. Therefore, researchers and decision-makers should have a positive and advanced attitude towards technology innovation under the background of intangible protection and inheritance of all kinds of innovation practice, especially intangible knowledge popularization, culture, and social education transmission behavior, which should be encouraged and emerging technology, communication channels, consumption forms, explore the intangible spread in the contemporary digital potential value, focus on intangible digital transmission present "video and experience" "elements of open source and digital potential" "digital survival and virtual community inheritance" trend. The findings indicate that the persistent contradictions resulting from the conflict originate from divergent notions of history, resource adoption, and conservation.
Immersive Virtual Reality (IVR) Systems for Comprehensive Fire Safety Education in Primary School
Authors: Fu Shishan , Yusoff Yusrita Mohd , Muhaiyuddin Nadia Diyana Mohd
Published: October 2024

In the evolving landscape of educational technology, immersive virtual reality (IVR) has emerged as a promising tool to enhance safety education for primary school students. Traditional fire safety methods, while foundational, face challenges in engaging young learners actively. This study aims to comprehensively investigate the intricate dynamics of integrating IVR technology into fire safety education for primary school students. By examining students' perceptions, assessing engagement levels, and evaluating learning outcomes, the research seeks to offer nuanced insights into the potential benefits and challenges associated with VR-based safety education. Conducted as a qualitative study, 25 semi-structured interviews were performed with primary school students (Grades 4-6 in China), employing a three-step thematic analysis. The research explores students' experiences with IVR fire safety simulations, comparing them with traditional methods, and addressing practical considerations for integration. Preliminary findings suggest positive perceptions, heightened engagement, and improved learning outcomes among students exposed to VR simulations. Practical challenges, including logistical considerations, were identified. The comparison with traditional methods illuminated strengths and weaknesses, guiding educators and policymakers. This research contributes to the intersection of education and technology by offering novel insights into the potential of IVR simulations in fire safety education. The study's significance lies in informing pedagogical practices, addressing practical challenges, and promoting safety awareness among primary school students, guiding future educational technology initiatives.
Efficient Network-based Fault Detection in Elevator Vibration Signals: A Weighted Fusion Approach of Displacement and Acceleration Data
Authors: Lin Deying , Co Celso Bation , Zeng Minghai , Xu Tao
Published: October 2024

This research addresses human vibration analysis, rule-based lift fault detection algorithm noise interference, and early fault diagnosis. A new network-based defect diagnosis system uses lift sensor acceleration and displacement data. Convolutional Neural Networks CNNs automatically extract features like motor current (average, maximum, lowest values during a recording session) from this fused data stream and sensor data. CNNs learn key features from pooled data to reduce noise and detect faults early. To build a baseline for normal operation, 132 vibration signal characteristics (RMS, peak-to-peak, mean, standard deviation), lift ID, timestamp, operating mode (Up/Down/Idle), and load condition (Empty/Low/Medium/High) data points are used. Regular operational data and 201 gearbox fault data points are collected. The problem affects motor behaviour via vibration signals, timestamps, lift data, and motor current values. Learning to distinguish this defect type from normal operational data allows the network-based technique identify it. Research shows that network-based strategies outperform traditional methods. It finds weaknesses better than before researches. This method automatically extracts features from the fused data stream to detect defects in real time. Displacement and acceleration data, motor current readings, and CNNs improve noise resistance and failure signal detection. Network-based lift failure detection is advanced in real time problem identification. Precision, early detection, noise resistance, and real-time defect categorization are its strengths. Study affects lift maintenance and find defects early to keep lifts functioning. Real-time defect classification eliminates laborious analysis, simplifying maintenance in which enhancements improve lift performance and reliability.
Design and Implementation of Gesture Music Composition System based on RealSense and Recurrent Neural Network
Authors: Bao Gang
Published: October 2024

Aiming at the problems of slow human-computer interaction and low accuracy of hand gesture recognition (HGR) in music composition systems such as human-computer interaction, gesture recognition, and algorithmic composition, this paper designs an HGR music composition system based on real-sense technology and recurrent neural network. The system uses an Intel RealSense 3D camera to shoot the user's hand and extract the information on the hand joint points with Smart Wearable Biosensors (SWBSs). The joint points are used to construct a three-dimensional model of the hand bone, and the joint points' equivalent distance and joint deflection are calculated by the joint point information to match the corresponding Curwen HGR. The matching music data is input into the recurrent neural network. GRU is combined with the Markov chain algorithm to complete the composition and avoid the phenomenon of gradient disappearance or gradient explosion. The HGR recognition function and composition algorithm are simulated and tested to verify the method's feasibility. Cohort verification investigations and efficacy evaluations of wearable biosensors are essential to support their clinical acceptability. The research results show that the HGR music composition system based on real-sense technology and recurrent neural networks can effectively identify the tester's HGRs and assist the tester in completing the composition using intelligent biosensors. The composition mode is close to the professional composition process.
Image Recognition of New Year Pictures based on Machine Learning
Authors: Guo Zaozao , Ramli Dr. Muhamad Firdaus , Cui Rui
Published: October 2024

New Year pictures are an essential part of Chinese traditional culture, with profound historical deposits and unique artistic value. However, with the rapid development of society, the inheritance and protection of traditional New Year pictures are facing many challenges. One of them is the recognition of the New Year painting images. This paper introduces image recognition technology based on machine learning, including research background, method steps, result discovery, and advantage limitations. Image recognition is an essential means to protect and inherit the traditional New Year painting culture and machine learning technology can improve recognition accuracy and efficiency. This paper presents deep learning implemented through data collection, feature extraction, and classification. The experimental results show that the method can effectively identify New Year images with high accuracy and recall.
Application of Big Data Analysis in Chinese Art Song Market Research
Authors: Deng Meng
Published: October 2024

Data reliant on fisheries are essential for successful managing fisheries. A lack of fisheries data results in clarity regarding stock status, thereby jeopardizing the financial and food safety of the consumers reliant on that stock and heightening the risk of exploitation. Recent advancements in technology for gathering, managing, and evaluating fishery-related data offer a range of options to enhance and modernize fisheries’ information systems, significantly increasing data collecting and analytical capabilities. Notwithstanding the widespread availability of pertinent consumer electronics, incorporating sophisticated information systems into fisheries oversight is still atypical rather than the norm. The article delineates the present condition, obstacles, and prospective trajectories of advanced information systems in the fishing industry to elucidate the factors hindering their acceptance. Our examination of the utilization of fishery-dependent information technologies across several worldwide fisheries sectors reveals that technological progress is stalling due to a deficiency of trust and collaboration between fishers and management. The research advocates for a solution grounded in a cross-disciplinary approach to fisheries management that underscores the necessity of working together to solve problems among participants. In our suggested structure, data suggestions are essential for efficient fishing information systems, ensuring fishermen and managers acquire, access, and profit from data related to fishing while striving towards a shared objective. An innovative strategy for fisheries information systems will enhance data protection, precision, and settlement while minimizing costs and facilitating adaptive, adaptable, near real-time managing decisions to optimize fisheries performance.