bluuebunny/crossref_metadata_2025 huggingface dataset:
Programas de intervención en metacognición para la mejora de la comprensión lectora en educación primaria: una revisión sistemática exploratoria
Authors: Cuadro Ariel , Palombo Ana Laura , Comunale García Guzmán , Costa Ball Daniel
Published: January 2025

El objetivo principal de este estudio es contribuir al diseño de prácticas efectivas en el aprendizaje de estrategias metacognitivas aplicadas a la comprensión lectora en estudiantes de educación primaria, a partir de una revisión de investigaciones sobre programas de intervención experimentales o cuasi experimentales. Se revisaron un total de 531 publicaciones, comprendidas entre los años 2018 y 2023. Se identificaron solamente 7 artículos que cumplían con los criterios de inclusión definidos y daban cuenta de sus resultados. Estos muestran el escaso número de investigaciones en programas de intervención en estrategias metacognitivas para la lectura comprensiva en escolares, así como lo discutible de la efectividad de dichas intervenciones si no se consideran también otras variables que inciden directamente en la comprensión lectora. Finalmente, se reportan las implicancias para las prácticas de enseñanza que se identificaron en los programas de intervención seleccionados.
Effects of Task-Based Language Teaching on Improving Grade 11 Students’ Essay Writing Skills
Authors: Anito Bekelech Freneh , Ali Wondwosen Tesfamichael , Ayele Zeleke Arifich
Published: January 2025

This quasi-experimental study aimed to examine the effects of task-based language teaching (TBLT) on improving students’ essay writing skills in terms of content, organization, grammar, and vocabulary. To that end, participants of Grade 11 students at Otona Secondary School were assigned as experimental and control groups using simple random sampling technique. The students in the experimental group were taught essay writing via TBLT, whereas those in the control group were taught essay writing through the conventional method. Additionally, the teaching material was developed from students’ textbooks for the experimental group. Relevant data were gathered via essay writing skills tests. The independent sample t-test calculated for the pre-test divulged that the students in both the experimental and control groups had similar writing skills in the stated sub-skills (t-values < 1.47, p-values > .552). Independent sample t-test measured for post-test, however, depicted that students in experimental group significantly surpassed students in control group in each of the stated sub-skills of writing (t-values > -5.79, p-values < .000). Interviews held with six selected students from the experimental group revealed that TBLT enabled them to improve their writing skills in terms of content, organization, grammar, and vocabulary. It also improved their interest to write and perceptions of working with peers and within groups. This suggests that Secondary School students benefit the application of TBLT using listing, problem solving and sharing personal information tasks thus it helped them to improve essay writing skills.
Exploring ChatGPT as a Tool for Thesis Writing: Perspectives of EFL Supervisors in Jordanian Universities
Authors: Amer Mamoun I. Bani , Rababah Luqman M. , Rababah Mahmoud Ali
Published: January 2025

This study examines Jordanian EFL supervisors' views on ChatGPT's usage and effects on thesis writing at private and public universities in Jordan. A questionnaire was used to collect data from 47 EFL supervisors. Closed-ended Likert-scale questions were used to quantify supervisors' opinions on ChatGPT's correctness, dependability, and usefulness in thesis writing. Supervisors gave varied views on ChatGPT's usefulness and effects on thesis writing. They agreed that ChatGPT helps students generate ideas, enhance their vocabulary, and improve their thesis writing skills. Supervisors were impartial to ChatGPT's ability to assist students in organising the thesis, delivering arguments, and overcoming writer's block. The findings also showed conflicting opinions on ChatGPT's thesis organization comments and their influence on students’ autonomy. Supervisors perceive ChatGPT's influence on supervisor-student interactions differently. The study adds to technology integration in EFL writing teaching, especially thesis writing. It quantifies supervisors' ChatGPT impressions to understand numerical trends and patterns. The results may help educational institutions and policymakers integrate ChatGPT into thesis-writing pedagogy.
Exploring Interpersonal Meaning Through Linguistic Analysis: A Study of President Duterte’s Political Speech
Authors: Niez Roland A. , Tancinco Noel P. , Sabonsolin Beltram C. , Solteo Jr. Vicente Q. , Magno Jelyn M. , Sabocohan Ayesna O. , Ebio Jr. Francisco M. , Cerera Jed Priam Nuñez , Superable Dina Sudario
Published: January 2025

This paper analyzes President Rodrigo Duterte's inaugural State of the Nation Address (SONA) through the lens of Halliday's Systemic Functional Grammar (SFG) to elucidate the generation and transmission of interpersonal meaning. Specifically, the research meticulously explores the nuances of mood and modal auxiliary structures employed by Duterte in his address. Through a comprehensive analysis of the distribution and usage patterns of mood and modal auxiliaries throughout the speech, the study uncovers how these linguistic elements collectively serve to articulate and amplify the speaker's interpersonal intentions and meanings. The findings underscore Duterte's strategic utilization of diverse moods and modal auxiliaries as instrumental tools for effectively communicating his messages and ensuring clarity and resonance with his target audience. This linguistic analysis not only sheds light on the intricate mechanisms of interpersonal meaning construction in political discourse, but also highlights the pedagogical potential of SONAs and similar political speeches, as valuable resources for language educators. These speeches can serve as enriching teaching materials for educators aiming to impart knowledge and facilitate understanding of complex grammatical concepts such as mood, modal auxiliary, and interpersonal meaning in language classrooms. Thus, the study advocates for the incorporation of political speeches into language teaching curricula to enhance students' linguistic competence and analytical skills.
From Postfeminism to Foucault: The Revival of Medusa in Emma Hamm’s Becoming Medusa
Authors: Mohammed Estabraq Yahya , Vafa Amirhossein
Published: January 2025

This paper examines Hamm's Becoming Medusa (2021) through the lenses of postfeminism and Foucault's theories of power and agency, foregrounding the significance of revisionist retelling. Since the 1970s, female protagonists like Medusa have gained popularity due to the postfeminist reimagining of Greek mythology. The reclaiming of Medusa's narrative has undergone a series of shifts in the perception of her character, moving from a position of victimisation and monstrosity to one of agency and empowerment, as evidenced in this novel. Challenging the postfeminist paradigm and considering Foucault's ideas, the paper studies the revival of Medusa as the creation of a new identity. Foucault's critique of power cultivates a detailed view of the interrelations between gender and power that escapes the assumption that oppressing women is caused in an unassuming way by men's power. This study's significance lies in presenting a more in-depth and innovative exploration of Becoming Medusa by presenting a different version of Medusa as a real woman who is changed from passive to agent. By intertwining these mentioned theories, a more comprehensive analysis of the context and the authors' intentions transforms their current viewpoints to the readers and audiences presented. The importance of this topic also lies in achieving global postfeminism through Medusa's revival from Greek mythology to the contemporary age.
Words That Propel: The Power of Motivational Quotes in the EFL Class
Authors: Alwasidi Amal A. , Alnaeem Lubna A.
Published: January 2025

Motivation plays a key role in EFL students’ academic accomplishment and engagement in learning. With a growing interest in exploring various tactics to foster student motivation, teachers’ use of motivational practices has received extensive attention. The present study aimed to explore the influence of digital motivational quotes on Saudi EFL students’ overall attitudes and motivation toward learning English. To this end, one hundred undergraduates majoring in English were selected, through random sampling, to respond to the mini version of the Attitudes/Motivation Test Battery (Gardner & MacIntyre, 1993). Divided into control and experimental groups, the latter received a set of digital motivational quotes for ten weeks. To detect any possible effect, both groups responded to the same scale. Qualitative data was also obtained to further confirm the quantitative data. Results showed that motivation levels were moderate before the treatment and increased significantly among the experimental group students afterward. The increase was evident in all categories of motivation. Qualitative data analysis indicated that the intervention fostered students’ motivation, specifically by empowering them to overcome challenges and maintain a positive attitude and a determined mindset. These findings have informative implications for teachers, educators, and syllabus designers.
Naming and Describing as a Textual-Conceptual Tool in Woolf’s Mrs. Dalloway
Authors: Sallomi Azhar H. , Obied Iman M.
Published: January 2025

The matter of the writer’s choice between two or more ways of referring to the same thing or person in texts is closely linked with his/her ideological intention. The present paper detects the ideological interpretation of Naming and Describing as a textual-conceptual tool in Virginia Woolf’s novel Mrs. Dalloway that tackles woman’s trauma after the First World War. It aims to show how Naming and Describing tool is employed by Woolf to reveal woman’s distress because of war. Additionally, it aims to indicate the ideology(ies) that lie behind the novelist’s choice of a specific noun and ignoring others. Based on Jeffries’ (2010) framework that presents three ways of naming, the extracts that expose woman’s trauma are examined. The researchers conclude that the novelist dedicates the three ways of naming which are entitled: choice of noun, modification and nominalization for representing woman’s trauma. Further, Naming and Describing tool assists in delivering negative ideologies such as hegemony, bullying, discrimination, and non-existence. This in turn indicates not only Woolf’s denial to war which is the source of women’s pain but also her plea to British women to constantly fight in order to gain their peace and delight.
Translator’s Style in Fiction Translation: A Ten-Year Systematic Literature Review
Authors: Jinfang Yao , Kasuma Shaidatul A. A. , Moindjie Mohamed A.
Published: January 2025

This research aims to comprehensively analyze the Translator's Style in fiction translation to enhance the understanding of its influence on the quality and effectiveness of translated fiction. The systematic literature review was conducted by extracting relevant content from four databases: Scopus, Web of Science, EBSCO, and Google Scholar. The removed material was then analyzed and synthesized based on a predefined set of rules and criteria. The selected articles underwent a rigorous screening process that met specific inclusion and exclusion criteria. The examination of the chosen studies revealed significant findings regarding the Translator's Style in the translation of fiction over the past decade. The study identified emerging trends, novel research methodologies, and theoretical frameworks within this field and acknowledged their significance. This study suggests that further research should be conducted on the Translator's Style in fiction translation within translation studies. One can improve their understanding of the Translator's Style by employing interdisciplinary methods, including incorporating literary theory, stylometry, and sociocultural perspectives. This study provides essential information for translators and scholars in the field of translation studies, highlighting the significance of the Translator's Style and promoting comparative studies of multiple translations to gain a comprehensive understanding of the various choices and approaches translators employ.
Empowering EFL Learners: A Multilayered Deep Learning Framework for EMI Universities
Authors: Saeed Aziz Thabit , Al-Khatib Hayat , Said Kaldun Mohamednur , Hafeez Ghada Abdel
Published: January 2025

The globalization of English has significantly impacted its teaching and learning enterprise at universities in the non-native context in an unprecedented proportion. However, concerns have been voiced that school exit levels in English competency do not match higher education entry requirements (Coleman et al., 2018). This research, conducted by the Faculty of Language Studies (FLS) at the Arab Open University (AOU), investigates the needs of new EFL entrants in higher education institutions that use English as the medium of instruction (EMI). It aims to identify effective teaching-learning methods that create favorable conditions for students' success. It also aims to integrate theories that anticipate challenges and propose solutions. The study collected data from 11298 EFL learners and 105 tutors across the University’s campuses in eight Arab countries. Both quantitative and qualitative analyses indicate a critical need for a tailored, multilayered EFL deep learning framework to tackle the intensity of the problem. To address this gap, the research team collaborated with the authors of the new C21 curriculum to incorporate the findings into the curriculum, thereby addressing the linguistic and extralinguistic challenges faced by students using the previous curriculum. The study concludes that implementing the proposed modifications can establish a progressive teaching and learning model tailored for EFL learners in higher education.
English Language Teachers’ Perspectives on Technological Applications Used for Students With Disabilities
Authors: Alorani Omar Ismail , Erkir Sarp , Rababa'h Suzie Yaseen , Bani-Khair Baker Mohammad , Alkhaldi Ali Ata , Rababah Mahmoud Ali , Al-Hawamdeh Basma Mohammad , Al-Awamrah Abdelsalam Fahad , Al-Habies Feras Ali
Published: January 2025

Assistive devices and technology have contributed to expanding the research base related to technology in special education. Researchers in the field of special education consider them a promising way of addressing a major practical problem in this field, which is individualized teaching. Technology-based education seems to be a more constructive method for achieving better, faster, and more effective assessment, training, and treatment than labor-intensive and time-consuming manual work. The study attempts to identify the English language teachers’ perspectives on the technology used for teaching students with sensory, physical, and health disabilities, as well as its effect on improving the quality of their learning. A questionnaire was administered to a sample of 489 teachers to collect data. The results revealed that teacher’s knowledge of the technology and its potential for improving the quality of their teaching was poor. Furthermore, there were no statistically significant differences in the knowledge level of teachers based on gender, years of experience, and variables in the field of supportive technology. The study helps enrich the theoretical literature on technological applications. The new world of technology holds the promise of enhancing education.
Dissenting Female Voices: A Comparative Reading of Nathaniel Hawthorne’s The Scarlet Letter and Fadia Faqir’s My Name Is Salma
Authors: Alzoubi Najah A. , Almwajeh Motasim O. , Al-Badarne Abdullah F. , Talafha Haitham M.
Published: January 2025

The female protagonists in Nathaniel Hawthorne’s The Scarlet Letter (1850) and Fadia Faqir’s My Name Is Salma (2007) face similar themes and explore the effects of adultery on women. Despite their different temporal, geographical, and cultural contexts, the novels fight oppression and marginalization. The authors carefully and delicately place the stories in a framework of crimes, marginalization, and dissent. The researchers use feminist critical analysis of the two texts to build an innovative argument that highlights the texts’ many dissents. Hester Prynne’s and Salma Ibrahim El-Musa's internal and external battles about giving up their lives, identities, and daughters disrupt cultural and religious standards. Hester commits adultery, refuses to reveal her daughter’s biological father, and is, therefore, punished. Likewise, an illegitimate premarital affair impregnates Salma, and thus she is at risk of an honor murder. Hester and Salma resist being hushed, abused, and marginalized.
Empowering Adult EFL Learners: A Self-Directed, Process-Oriented Writing Program
Authors: Aljasir Nouf
Published: January 2025

This quasi-experimental study aimed to empower adult learners of English as a foreign language (EFL) by designing a self-directed, process-oriented writing program to enhance their writing proficiency and address the challenges they face in improving their writing skills outside formal classroom settings. A total of 50 Saudi individuals participated in this 12-week program, which integrated self-directed learning (SDL) principles with the process writing approach. The participants engaged in various writing tasks, reflective activities, and peer feedback sessions. The instruments used for data collection included pre- and post-program writing assessments, weekly writing tasks, and reflective journals. The findings revealed significant improvements in the participants’ writing skills across all of the assessed criteria, with the strongest gains in coherence, content and ideas, and cohesion. Additionally, the analysis of the demographic factors indicated that the participants’ educational attainment significantly influenced their writing skills improvement. The participants’ reflections highlighted several features of the program, such as its structured approach, focus on building self-awareness, opportunities for independent learning, and peer feedback, as key factors in their progress. The study concludes with recommendations for future self-directed writing programs and suggests avenues for further research.
Analysis of Japanese Learners’ Mother Tongue Interferences in Speaking English Language
Authors: Muliana I Nyoman , Sarumaha Julius Faozanolo , Gaho Rahmat
Published: January 2025

the use of the mother tongue can influence the production of spoken English, which covers the phonological, grammatical, and lexical aspects. This study aims to find out the interferences of the mother tongue with the result of a second language, which in this case is English. The method used in this study is qualitative descriptive, and the data is collected by observing and recording the data in the field. The data is students' utterances in English whose mother tongue is Japanese. The results show that the three aspects, which consist of the phonological aspect, grammatical aspect, and lexical aspect in the mother tongue, interfere with the speaking ability, which, in this case, speaking English ability.
English Language Needs of Thai Cruise Ship Crew Members: A Target Situation Analysis
Authors: Khuanmuang Chariti
Published: January 2025

Given that cruise tourism is a substantial global industry, it is imperative that a ship’s crew members possess a high level of English proficiency to effectively communicate with passengers from all around the world. Still, hardly any research has been carried out on the English-language competency of crew members of Thai cruise ships. The sparseness of literature indicates a lack of attention paid to participants in this discourse community, thus marginalizing their voices. However, research could provide a platform for a wider audience to hear these previously unheard voices. This study aimed to explore the English macro skills required for Thai cruise ship crew members in various targeted situations. Between June 2022 and March 2023, data was collected from a web-based survey administered to 420 Thai cruise ship crew members. These crew members found that they needed to enhance their speaking, listening, reading, and writing skills in that respective order. The qualitative section also indicated the need to enhance listening and reading skills and better align them with speaking abilities. Nevertheless, writing proficiency was the most challenging aspect that required improvement. Moreover, crew members believed that their most effective means of communication occurred when they knew who to communicate with in English. By contrast, their performance was the least satisfactory when English conversation occurred through mediated communication. This study provides a partial framework for the Thai government and private sectors to create English language programs specifically designed for cruise students to achieve a high level of English proficiency for global communication.
Ecolexicon of Balinese Medical Plants in Lontar Usada Putih: An Ecolinguistics Study
Authors: Suardiana I Wayan , Hadinata I Made Dwika , Gaho Rahmat , Geria Anak Agung Gde Alit , Budiasa I Made
Published: January 2025

Lontar usada is a text that contains traditional medicine that the Balinese have trusted for a long time. This knowledge originated in India and then spread to Bali along with the development of Hinduism in the 5th century AD. Lontar usada is written on palm leaves in a long rectangular shape with a size of 3.5 cm x 35 cm. Lontar usada has several types, including lontar usada putih. This study was intended to analyze lontar usada putih as a guideline for traditional medicine using an Ecolinguistic perspective. Qualitative methods were applied in this study. The data source was a document (Translated text of lontar usada putih) with No. 111d 158/2. A number of attachments 38 copied from the lontar belongs to Cokorda Putra from Petak Village, Abianbase District, Gianyar. The researchers also collected data through interviews obtaining data from Kawi (ancient Javanese) particularly. In this case, interviews were conducted to obtain data, especially language rituals or treatment in prayer form, especially Sanskrit. Several informants were interviewed: Pandita (priest) and Balian, a Balinese healer. Based on the results of the analysis, it was found that each treatment in the lontar usada putih not only uses medicinal media in the form of plants but also contains mantras, ceremonies, and special offerings.
The Adaptation of William Shakespeare’s Othello in Nicole Galland’s I, Iago
Authors: Hasayen Jasmine Mohammad , Awajan Nasaybah Walid
Published: January 2025

This study aims to identify how Nicole Galland’s novel I, Iago is considered an adaptation of William Shakespeare’s play Othello in terms of race, class, and the representation of women. Additionally, the study attempts to compare and contrast the adaptation and the source play in terms of the themes of race, class, and the representation of women. To achieve the objectives of the study, the novel is analyzed through the theory of adaptation. The study concludes with an examination of how Galland’s I, Iago adhered faithfully to the events portrayed in Shakespeare’s play Othello, while also illuminating the ambiguities inherent in Shakespeare’s titular work.
Benefits of Digital Editing for Japanese Writing Instruction
Authors: Uni Kazuhito
Published: January 2025

This study examined the benefits of digital editing for Japanese writing instruction for Indonesian students. The participants of this study were 44 Indonesian university students who had majored in Japanese language and culture for approximately one year. The author of this study taught this course online for seven weeks and asked the participants to email photographs of their essays to him. The teacher first typed the texts of the participants’ essays into Microsoft Word and then he corrected them, adding notes to the students. In this study, students were assigned points for their practice essay and final examination to the maximum of 50 to facilitate the comparison of the scores across individuals. The participants’ practice essays were not scored. The participants were asked to compose on a sheet of 400-character manuscript paper. The teacher deducted one point for each error in grammar, spelling, particle, vocabulary, and conjugation. On average, out of 50 possible points, the participants obtained 37.82 points in the first writing practice and 46.91 points in the final examination. At a 5% level, the scores before and after the instruction through digital editing showed statistically significant differences (p < 0.001, df = 43, t = 15.33). These results show that digital editing using Microsoft Word improves Japanese-language learners’ writing proficiency.
English Literature Studies Online: Insights From Graduate and Undergraduate Students at The Hashemite University
Authors: Talafha Haitham M. , Al-Omari Kifah M. , Obeidat Marwan M. , Bani-Khair Baker M.
Published: January 2025

The objective of this article is to investigate the viewpoints of both undergraduate and graduate students of English regarding online education in the aftermath of the Corona virus pandemic, which commenced in March 2020 and resulted in immediate, hit-or-miss changes within the higher education sector. To realize this aim, the study examines the perspectives of graduate and undergraduate students in the English Department at The Hashemite University in the fields of literary, cultural, and critical studies. Consequently, fifty graduate students were asked to write a well-thought essay in which they express their opinion about their experience in online education. On the other hand, eighty-four undergraduate students had to respond to a questionnaire designed to express their opinion within a scale of different responses. The results for both groups show that there is no significant difference between their attitudes. In general, there is a propensity to endorse a novel educational approach that integrates the traditional on-campus education with the most recent online off-campus education.
Análise espacial dos impactos ambientais da cobertura da terra da bacia hidrográfica do igarapé Carrapato, município de Boa Vista – Roraima
Authors: Nascimento Pessôa Véritha , Vladimir de Souza  , Carlos Eduardo Lucas Vieira  , Antônio Carlos Ribeiro Araújo Junior
Published: January 2025

A Amazônia brasileira é uma vasta região constituída por reservas de água doce, possui a maior rede hídrica da Terra, e suas bacias hidrográficas, essências para o equilíbrio e manutenção ecológico e hídrica da biosfera. A água é essencial para o desenvolvimento de atividades econômicas como a indústria, navegação, balneabilidade, é agropecuária, esta última fornece alimento e proteína para humanos e animais. O objetivo desse estudo foi realizar uma análise espacial dos impactos ambientais na cobertura da terra da bacia hidrográfica do Igarapé Carrapato, município de Boa Vista, Roraima. Utilizou-se o método da observação. As visitas in loco, ocorreram em período climático distinto considerando o comportamento dos impactos e a mudança na paisagem conforme a sazonalidade climática local. Para elaboração da pesquisa foram visitados os ambientes naturais e antrópicos relevantes para pesquisa, feito o levantamento fotográfico, por Drone e na superfície, juntamente com a coleta dos pontos georreferenciados. Foi elaborado um mapa de cobertura da terra da bacia com nove classes e quantificadas suas proporções e áreas. Os impactos ambientais negativos foram identificados e classificados na lista de verificação (checklist). De modo que, as mudanças na bacia vêm ocorrendo de forma rápida e em curto espaço de tempo, causando pressão e alterações em seu ecossistema original, com modificação na ecopaisagem.
Mobilidade Humana
Authors: Vieira da Silva Pâmela , Souza da Silva Isabella Raquelane , Barbosa da Silva Altiva
Published: January 2025

O município de Bonfim, em Roraima é uma das trinta e duas cidades-gêmeas existentes no Brasil, que está localizada na linha da fronteira terrestre, com a cidade de Lethem – República Cooperativa da Guiana. Através desta área de fronteira, tem-se observado um intenso fluxo de migrantes cubanos e haitianos que entram no território brasileiro, através da Guiana, apesar do controle efetivo de entrada desses migrantes. O presente estudo descreve a realidade de rotas clandestinas que os migrantes cubanos e haitianos percorrem para entrar no Brasil. A crescente entrada de cubanos e haitianos ainda está longe de se equiparar ao volumoso fluxo de venezuelanos que desde 2015 chega ao Brasil por Roraima, mas considerando a população do Estado, este percentual torna-se expressivo. A leitura dos noticiários de jornais foi um dos principais instrumentos para constatação das operações dos órgãos de segurança do Brasil, através das quais se percebem que os atravessadores ilegais de migrantes, em sua maioria são taxistas intermunicipais, constituem uma rede organizada que ultrapassa as fronteiras para que esses migrantes, haitianos e cubanos, cheguem em território brasileiro. Trata-se de uma pesquisa exploratória, de caráter descritivo, de abordagem qualitativa, complementada com pesquisas realizadas em periódicos e artigos de jornais locais.
Desafios e perspectivas do descarte de resíduos sólidos ao desenvolvimento regional da Amazônia
Authors: Pereira Keliane da Cruz , Monteiro Geane Ribeiro Silva , Araújo Júnior Antônio Carlos Ribeiro
Published: January 2025

A presente pesquisa trata do sistema de armazenamento de resíduos sólidos no município de Pacaraima, município situado no extremo norte de Roraima, propondo-se a (i) verificar como é realizado a coleta e armazenamento de resíduos sólidos; (ii) descrever possíveis implicações ambientais e sociais que a precariedade no armazenamento de resíduos sólidos pode acarretar ao município e aos seus munícipes, e neste sentido; (iii) identificar a existência de planos ou ações de intervenção do poder público quanto à desativação do lixão e a construção de um aterro sanitário.  Este trabalho constitui-se em um estudo de caso com: a pesquisa in loco mediada pela observação, registro fotográfico e realização de entrevista semiestruturadas com representante municipal, bem como, entrevista com migrantes catadores de recicláveis no local. Desta forma, constatou-se que os resíduos coletados na cidade são depositados a céu aberto. Além de um local aberto, o lixão não possui nenhum tipo de identificação quanto à finalidade da área, nem cercas de proteção que impeçam o acesso, atraindo animais e migrantes em busca da manutenção de sua sobrevivência.
O efeito do luxo sobre a diversidade arbórea das praças públicas na Cidade de Boa Vista – RR
Authors: Lima Gilneide Rodrigues , Pequeno Pedro Aurélio Costa Lima
Published: January 2025

Resumo
O urbanismo provoca conflitos entre organização socioeconômica e conservação da biodiversidade, resultando em um número limitado de espécies arbóreas nativas nas cidades. A  diversidade arbórea nativas é importante pelo conforto térmico que reduz a concentração de calor e para os pássaros que as utilizam para alimentação e nidificação, não serem capazes de completar o ciclo e deixam de ocorrer na região. Um padrão observado em algumas cidades do mundo, foi denominado efeito do luxo, devido a diversidade de plantas exóticas estar associada aos bairros mais ricos em relação aos bairros mais pobres. A condição socioeconômica é comumente correlacionada  com o efeito do luxo, mostrando que os benefícios de biodiversidade não serem compartilhados equitativamente pela sociedade. O efeito do luxo pode ser modificado, quando a relação entre a socioeconomia e a biodiversidade for influenciada pelos legados de uso da terra, que modulam as espécies  influenciadas pela riqueza, à medida que os bairros envelhecem, evidenciando o efeito do legado. Diante disso, o propósito deste estudo foi analisar a ocorrência do efeito luxo nas praças públicas de Boa Vista, avaliando o quanto as variáveis preditoras: valor de venda do metro quadrado da área dos imóveis, distância linear do centro da cidade, área do bairro, tamanho da população humana, refletiram sobre as variáveis preditoras: número de praças e o número  de espécies arbóreas por praças nos bairros de Boa Vista. Os resultados mostraram relações positivas e negativas entre as variáveis, refutando o efeito do luxo e validando o efeito do legado.
Palavras-chave: Efeito do luxo. Diversidade arbórea. Praça pública. Efeito do legado.
Integration of CNN and LSTM Networks for Behavior Feature Recognition: An Analysis
Authors: Aris Teh Noranis Mohd , Ningning Chen
Published: January 2025

This study explores an integration model combining convolutional neural networks (CNNs) and long short-term memory networks (LSTMs) for behavior feature recognition. Initially, a straightforward three-dimensional deep CNN structure was introduced for behavior recognition, capturing static and dynamic characteristics, and analyzing the network's convergence speed. Subsequent experiments utilize the VGG16 CNN model, substituting the fully connected layer with global average pooling. Then, a comparative experiment was conducted on the MSRC-12 behavior dataset between the models. Due to the complexity of LSTM, a simpler GRU model with similar effectiveness was used for comparison. The experimental results showed that the GRU-CNN model performed best, outperforming other algorithms in the literature on the same dataset. Under the same experimental parameters, the GRU-CNN model converges significantly faster than the LSTM-CNN model, with speedier training speed. In addition, the best accuracy is achieved by adjusting the dropout and epoch. Due to cross-validation in this study, the GRU-CNN models achieved good experimental results when the hidden node dropout rate was 0.5. The epoch size had negligible impact on the GRU-CNN model. Still, the accuracy of the CNN and CNN-GRU models increased significantly with more epochs, further validating the effectiveness of the GRU-CNN model. These experiments also indicate that convolutional neural networks based on deep learning are superior to traditional machine learning methods for human behavior recognition. Using depth images instead of conventional images allows for better extraction of spatial features, and the integration with long short-term memory networks enhances the extraction of temporal features from sequences.
A Model for Enhancing Social Media Crisis Communication for Resilience Building: A Preliminary Analysis
Authors: Mundottukandi Mohammed S. , Jusoh Yusmadi Yah , Haizan Nor Rozi Nor Binti , Che Pa Noraini , Bukar Umar Ali
Published: January 2025

What matters to people during a crisis is returning to their normal lives quickly and effectively. As a result, there has been a significant increase in interest in crisis recovery and resilience, particularly regarding the effects of crises and the role of social media in informing stakeholders. Prior studies assessing public resilience predictors and the impact of social media activities on resilience are lacking in identifying the factors that influence people's ability to recover from a crisis through social media crisis communication. Thus, the purpose of this study is to conduct a preliminary analysis to determine the impact of social media usage, information seeking, and information sharing on public resilience. A total of 107 items were developed based on the literature covering the following topics: Information Seeking (media choice, crisis type, uncertainty avoidance, framing, trust, efficacy, and perceived risk), Information Sharing (sentiment, richness, and authority), Social Media Usage (media exposure and uncertainty), and Resilience. Four experts validated these items using adjusted Kappa statistics and the content validity index. Subsequently, 30 responses were used in a pilot test to assess the reliability of the instruments, after 94 items passed expert validation. To evaluate the reliability of the items, Cronbach's alpha was employed. The results show that all the items were reliable, with Cronbach's alpha values ranging from 0.748 to 0.861. Therefore, the constructs satisfied the internal consistency requirement based on the obtained results. Overall, the study provides foundation for both theoretical advancements and practical applications in the domain of social media crisis communication.
Design of Cost-Effective Steel Surface Defect Detector Based on Deep Learning
Authors: Lee Jundong , Kim Hwan Seog , Wan Ju Yong , Kim Byoungwook , Suh Sangmin
Published: January 2025

Considering the productivity and profits of manufacturers, defects in steel products must be detected very carefully. Traditionally, machine learning-based methods such as support vector machines (SVM) have been widely used for steel surface defect detection (SDD). These machine learning methods rely on expert parameters, so their performance is susceptible to these parameters. Recently, deep learning-based methods independent of these expert parameters have been developed. The most popular of these uses is transfer learning, which allows for efficient learning by applying a previously trained model to a new problem. This approach can overcome existing methods' limitations and provide more accurate and efficient SDD solutions. In order to design the transfer learning-based SDD, input images should be modified and resized, which could cause input image distortion. Moreover, the transfer learning-based models generally have many layers and weights. This paper is motivated by the following questions. 1) Is the transfer learning-based model the best method for SDD? 2) What is the smallest model without compromising performance? This paper proposes a dedicated neural network for steel surface defect detection to answer the above questions. In addition, for cheap neural networks, the initially designed neural network is gradually reduced by monitoring the performances. We achieved a maximum f1-score of 0.978 and a minimum AUC of 0.995 from the experimental results.
A Comparative Study on the Performance of Algorithms on Different AI Platforms
Authors: Lee Youngseok , Cho Jungwon
Published: January 2025

To understand the basic concepts and principles of artificial intelligence (AI) and to solve problems using AI, it is necessary to use various platforms. Among AI machine-learning (ML) models, the prediction algorithm is a basic AI model that can be used in various fields, such as for predicting weather, grades, product prices, and population, and is likely to be used to gain a basic understanding of AI. Many educational AI platforms implement prediction algorithms to help understand these AI models. In this study, prediction algorithms were implemented using the following AI platforms: Orange3, Entry, and Python to learn the temperature data in the Seoul area of Korea using a linear regression model, predict the value of temperature change, and evaluate the performance of the prediction algorithm for each platform. Additionally, to understand machine learning classification models and develop effective teaching methods, we conducted a prototype test to compare and analyze each platform's photo classification methods and performance. As a result of the comparison, Python exhibited the best performance, followed by Orange3 and Entry, with differences in accuracy and predicted values. To understand AI, it is necessary to understand the reliability of AI models and use an appropriate platform that considers the development level of the learner. In the future, we aim to research different ways to efficiently understand AI by comparing and analyzing its performance using various AI models.
Artificial Intelligence Models for Flowing Bottomhole Pressure Estimation: State-of-the-Art and Proposed Future Research Directions
Authors: Agwu Okorie Ekwe , Alatefi Saad , Alkouh Ahmad , Azim Reda
Published: January 2025

Flowing bottom hole pressure (FBHP) is an important parameter during evaluation of conventional and unconventional oil and gas resources and is mainly used for production optimization, calculation of productivity index and assessment of well performance. FBHP in an oil well is a multifaceted parameter that has a number of factors affecting it. It is characterized by high stochasticity, non-linearity and non-stationarity. Traditionally, production engineers rely on physics-based models and empirical correlations calibrated with measurements from offset wells to calculate FBHP. However, in recent times, there has been a significant shift towards the use of cutting-edge artificial intelligence (AI) algorithms. The present study is designed to provide a historical account of past and present models developed with AI algorithms for estimating FBHP. To achieve this, a deep bibliographic survey was conducted using various peer reviewed journals and relevant oil and gas conference papers. The results of the review have been presented in tables to avoid ambiguity. To make the review novel, the merits and demerits of each of the AI models for FBHP prediction are highlighted and discussed in detail.  In this direction 54 models were isolated from the literature. The findings indicate that artificial neural network is the preferred algorithm by several researchers. However, the transparency and interpretability issues associated with the neural network algorithm has propelled researchers to explore the possibility of deploying physics informed machine learning techniques to model FBHP. This review would serve as a valuable reference for production engineers seeking information on AI models for FBHP estimation.
Leveraging Random Forest Algorithm for Enhanced Lead Conversion and Customer Retention
Authors: Tan Xin Yi , Lim Siew Mooi , Lim Tong Ming , Tan Chi Wee , Husaini Noor Aida
Published: January 2025

This paper presents the development, implementation, and evaluation of a Random Forest-based Social Lead Scoring Model to address key business challenges in lead generation, customer retention, and optimization of lead management processes. The main goal is to create a strong, data-driven tool to precisely estimate lead conversion probabilities to guide better marketing and sales strategy decision-making. The model uses social metrics and past lead data to estimate conversion probabilities for every lead. The Tkinter library created a user-friendly interface that allows straightforward usage for non-technical business professionals. This model includes two fundamental functions calculate_probability and predict_conversion– which offer practical and pragmatic insights.  During the development phase, a thorough cross-valuation was conducted by the model trained on a large dataset, including several lead characteristics, to decrease overfitting and improve the model's predictive performance. Thus, the model scored 89.46%, which is higher than that of conventional lead-scoring techniques. However, there is still room for development, specifically in enhancing its predictive power and reducing overfitting risks on different datasets, although this model has great accuracy. The results highlight the need for data-driven strategies in raising conversion rates and show the possibilities of machine learning in lead management optimization. Including extra data sources and investigating advanced technologies such as deep learning should be conducted by future studies to improve model performance further. The increased accuracy in predictive analytics will give companies a competitive edge in their operations.
Enhancing Travel Planning Efficiency with a Comprehensive TripEase GenAI Mechanism
Authors: Lim Zhi-Sheng , Yulastri Asmar , Ho Sin-Ban , Tan Chuie-Hong
Published: January 2025

This paper highlights the trip-easiness generative AI mechanism to simplify domestic and international travel planning through a comprehensive services range based on the users' locations, including itinerary management and car rental. This research focuses on building TripEase GenAI Mechanism with generative artificial intelligence (AI) for a fully-fledged AI-based trip planner web application. This mechanism would function independently in addition to the alternative of seamless integration with another platform, a car rental and travel planning system. This would enhance the overall user experience. Within our TripEase GenAI mechanism, users can effortlessly create personalized recommended itineraries after providing their essential trip details. This mechanism will generate a complete itinerary. The suggested itinerary would accompany a tailored packing list specific to the destination. We are leveraging cutting-edge tools such as LangChain, Semantic Kernel, and ChatGPT to achieve this objective. Our main aim is to revolutionize the travel planning experience by harnessing the power of AI technology. This research is envisioned to provide travelers with a seamless and personalized journey that caters to their individual preferences and needs. This paper outlines the design, evolution, and planning of the TripEase GenAI mechanism. We have laid a strong foundation for a user-friendly travel planning platform through meticulous documentation, thoughtful design, and iterative development. The ultimate goal is to enhance the overall travel planning experience by efficiently enriching imported services such as itinerary management and car rental modules.
E-learning Recommender System based on k-Nearest Neighbor (KNN), Singular Value Decomposition (SVD), and CoClustering Approaches
Authors: Kong Wan-Er , Haw Su-Cheng , Tai Tong-Ern , Naveen Palanichamy , Ng Kok-Why
Published: January 2025

The advent of the digital age resulted in the development of the e-learning platform as a helpful resource for top-notch e-learning materials. Despite its promise, the entire scope of its potential hasn't been ultimately discovered. E-learning platforms are expected to offer information that meets customers' requirements and interests to draw users and boost profits. These suggestions are created by considering various aspects, including previous browsing habits, purchase history, demographic data, and others. E-learning platforms may improve the quality of the learning process by offering users interesting information tailored to their specific requirements and preferences by utilizing cutting-edge technology. This paper explores Machine Learning (ML) approaches used in e-learning content recommender platforms. Three ML approaches are chosen and applied to predict user interest and need Singular Value Decomposition (SVD), k-nearest Neighbor Baseline (KNNBaseline), and CoClustering. These ML approaches boost user experience by analyzing data trends and patterns of usage to deliver insights into the best customized and appropriate educational materials for every user. The previous user ratings trend is employed to derive the item ratings. Mean absolute error (MAE) and root mean square error (RMSE) are assessed to evaluate the implemented techniques' effectiveness.