bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of GFRP Stirrup Spacing on the Behavior of Doubly GFRP-Reinforced Concrete Beams
Authors: AbdulMuttalib Issa Musa , Allawi Abbas A. , Oukaili Nazar 
Published: March 2024

This study investigates the impact of varying glass fiber-reinforced polymer (GFRP) stirrup spacing on the performance of doubly GFRP-reinforced concrete beams. The research focuses on assessing the behavior of GFRP-reinforced concrete beams, including load-carrying capacity, cracking, and deformability. It explores the feasibility and effectiveness of GFRP bars as an alternative to traditional steel reinforcement in concrete structures. Six concrete beams with a cross-section of 300 mm (wide) × 250 mm (deep), simply supported on a 2100 mm span, were tested. The beams underwent four-point bending with two concentrated loads applied symmetrically at one-third of the span length, resulting in a shear span (a)-to-depth (h) ratio of 2.8. The experimental findings reveal that altering the GFRP stirrup spacing along the longitudinal axis of the beams, from 200 mm (equivalent to the effective depth (d)) to 50 mm (equal to (d⁄4)), altered the mode of failure from flexure-shear to flexure-compression. However, when the spacing was equal to or less than (d⁄3), there was no significant improvement in load-carrying capacity, as the contribution of GFRP bars in resisting shear loads was limited. Under service loads, the GFRP-reinforced beams exhibited wider cracks, but reducing the stirrup spacing helped restrain crack widening. Incorporating GFRP bars in the compression zone had a positive effect on reducing crack width in the tension zone. Additionally, using GFRP stirrups with spacing varying between (d) and (d⁄2) in the pure bending region increased the deflection ductility indexes. To enhance the ductility of GFRP-reinforced concrete beams, it is recommended to use GFRP stirrups in the pure bending region with spacing greater than the spacing between GFRP stirrups in the shear spans. The study highlights that the current ACI code overestimates the shear capacity provided by GFRP stirrups, particularly when the spacing is less than or equal to (d⁄3). Doi: 10.28991/CEJ-2024-010-02-011 Full Text: PDF
Behavior of Axially Loaded Concrete Columns Reinforced with Steel Tubes Infilled with Cementitious Grouting Material
Authors: Abbood Ahlam A. , Oukaili Nazar 
Published: March 2024

The paper presents a novel method of reinforcing concrete columns using small-diameter steel tubes instead of traditional steel bars. The researchers conducted experimental investigations on twelve mid-scale circular concrete column specimens, which were divided into two groups consisting of six specimens each: short and long columns. Two of the specimens in each group were reinforced with steel bars, while the remaining four were reinforced with steel tubes filled with cementitious grouting material. The study proposed two concepts for cementitious grouted steel-tube reinforcement. The first concept utilized steel tubes with equivalent net areas to the steel bar areas used in the reference column, while the second concept used steel-tube reinforcement with the same diameter as the steel bars in the reference column. Nonlinear Finite Element (FE) analyses were conducted on experimental specimens using ABAQUS software. The results showed that using steel tubes with an area equivalent to that of steel bars instead of conventional columns increased the bearing capacity of reinforced concrete columns by 17%. Moreover, using steel tubes whose area matched 30% of the steel bar area achieved a bearing capacity of about 81% of the conventional concrete columns. The experimental and FE analysis findings indicate that this methodology can increase the bearing capacity of reinforced concrete columns when compared to traditional methods. The axial load-axial displacement curves, axial load-axial strain curves, and failure load of the FE model all demonstrated good convergence with the experimental data. Doi: 10.28991/CEJ-2024-010-02-017 Full Text: PDF
Modelling of Flood Hazard Early Warning Group Decision Support System
Authors: Soebroto Arief A. , Limantara Lily M. , Suhartanto Ery , Sholichin Moh. 
Published: March 2024

Early warning of flood hazards needs to be carried out comprehensively to avoid a higher risk of disaster. Every decision on early warning of a flood hazard is carried out in part by one party, namely the government or water resource managers. This research aims to provide a collaborative decision-making model for early warning of flood hazards through a Group Decision Support System Model (GDSS), especially in Indonesia. The novelty of this research is that the GDSS model involves more than one decision-maker and multi-criteria decision-making for early warning of flood hazards in the downstream Kali Sadar River, Mojokerto Regency, East Java Province, Indonesia. The GDSS model was developed using a hybrid method, namely the Analytical Network Process (ANP) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). There was more than one decision result; voting was carried out using the BORDA method to produce the decision. The test results of GDSS were obtained using a Spearman rank correlation coefficient of 0.8425 and matrix confusion, an accuracy value of 86.7%, a precision value of 86.7%, a recall value of 86.7%, and an f-measure of 86.7%. Based on the test results, good results were obtained from the GDSS model. Doi: 10.28991/CEJ-2024-010-02-018 Full Text: PDF
Estimation of the Physical Progress of Work Using UAV and BIM in Construction Projects
Authors: Palomino Ojeda Jose Manuel , Quiñones Huatangari Lenin , Cayatopa Calderon Billy Alexis , Piedra Tineo José Luis , Apaza Panca Christiaan Zayed , Milla Pino Manuel Emilio 
Published: March 2024

The delay in the physical progress of construction creates additional costs, missed deadlines, and quality issues. The research aimed to estimate the physical progress of the project by using unmanned aerial vehicles (UAVs) and building information modeling (BIM). The methodology comprised capturing 848 high-resolution images of the Civil Engineering Laboratory construction site at the National University of Jaen, Cajamarca, Peru, using the Phantom 4 RTK drone. The photographs were processed using Agisoft 2.0.1 software, resulting in a point cloud. This was then imported into ReCap Pro 2023 software, which was used to assess the quality of the points. The Revit 2023 software was subsequently utilized to establish the phase parameters, linking the BIM model with the point cloud, filtering the model, and eventually exporting it to the Power BI 2023 software. The work's estimated progress utilizing the proposed methodology was 42.82%, which was not statistically significant compared to the Public Works Information System (INFOBRAS) of 43.14%. This allows for the automation of customary processes, the identification of crucial issues, and prompt decision-making. The study's originality lies in the suggestion of integrating aerial imagery with drones and BIM modeling for the real-time and precise estimation of work progression. This method provides a precise and effective substitute for traditional techniques for gauging the tangible advancement of projects. Doi: 10.28991/CEJ-2024-010-02-02 Full Text: PDF
Effect of Different Ceramic Waste Powder on Characteristics of Fly Ash-Based Geopolymer
Authors: Herbudiman Bernardinus , Subari Subari , Nugraha Bactiar , Pratiwi Indah , Rinovian Asnan , Widyaningsih Euneke , Yanti Evi Dwi , Erlangga Bagus D. , Jakah Jakah , Roseno Seto 
Published: March 2024

The escalating demand for construction materials driven by rapid population growth has heightened the reliance on cement binders, resulting in increased CO2 emissions from the cement industry. Geopolymers, considered environmentally friendly alternatives, have been explored in various studies to address this challenge. This research specifically investigates the impact of different types of ceramic waste bricks (BT), floor tiles (FT), roof tiles (RT), and sanitary ceramics (ST) on the physical and mechanical properties of fly ash-based geopolymer mortar. To provide a comprehensive understanding, this research examines the compressive strength, mineral phase, chemical bonds, and microscopic evolution of fly ash geopolymer mortar incorporating varying proportions of each ceramic waste type (25% and 50% fly ash replacement). A consistent mixture of Na2SiO3and NaOH was used for the alkaline solution in all formulations. The curing process was carried out at room temperature for 7, 14, and 28 days prior to the compressive strength test. The result revealed that the inclusion of 25% BT experienced higher strength compared to the control sample after 14 days, but the strength became comparable after 28 days at 40.24 MPa. A reduction in strength was evident with the addition of other ceramic components. Moreover, higher incorporation of CWP correlated with a faster setting time for fresh geopolymers. This was also linked to the degree of gel formation, as indicated in the microstructure images. The emergence of plagioclase minerals was evident in all formulations of the geopolymer products under XRD analysis, while the bond of the geopolymer signature, Si-O-T (T = Si or Al), was identified from the infrared spectra. The microstructure of the binder showed a geopolymer matrix alongside unreacted fly ash particles. Overall, CWP replacement up to 25% can be potential in fly ash geopolymer without sacrificing significant strength loss and remaining in the range of normal strength mortar. Doi: 10.28991/CEJ-2024-010-02-06 Full Text: PDF
A Comprehensive Approach to Assess Occupant's Satisfaction and Performances of Residential Building
Authors: Kasi Jagadeesh , Kaliluthin A. K. 
Published: March 2024

This paper aims to endeavor to develop a holistic Post Occupancy Evaluation (POE) framework, amalgamating the utilization of building facilities and Building Performance Attributes (BPA) for appraising the performance of Construction and Design Firms (CDFs) alongside building performance indicators such as occupant satisfaction within residential apartment complexes. The study adopts a tripartite research methodology encompassing theoretical exploration, on-site investigations, and analytical examinations. The theoretical component entails an extensive literature survey to integrate 15 identified BPAs seamlessly. Field inquiries involve rating building performance and gauging occupant contentment. The subsequent analytical phase establishes correlations between building performance metrics and occupant satisfaction levels. This systematic approach synergizes user insights with building services, promising a rigorous and systematic building analysis. The outcomes underscore a robust correlation linking building performance attributes to occupant satisfaction, thus affirming the pivotal role of POE as an indispensable tool for appraising building performance. The analysis reveals ten highly correlated parameters, indicating a substantial 67% connection between the Building Performance Rating (BPR) and the Occupant Satisfaction Score (OSS). These influential parameters guide improvements and updates through Post-Occupancy Evaluations (POE). This process is a valuable learning tool for enhancing future organizational projects and improving building performance. The findings emphasize the pertinence of the criteria employed in evaluating building performance, which is relevant for assessing occupant contentment and CDF’s effectiveness. Comparing the previous research, this research posits the potential for widespread adoption of POE in augmenting CDFs' performance and lays the groundwork for expanding its utilization. The scholarly exploration introduces novel perspectives and paves the way for a comprehensive integration of POE to enhance CDFs' operational proficiency. Doi: 10.28991/CEJ-2024-010-02-07 Full Text: PDF
Boundaries and Future Trends of ChatGPT Based on AI and Security Perspectives
Authors: Alsumayt Albandari , Alfawaer Zeyad M. , El-Haggar Nahla , Alshammari Majid , Alghamedy Fatemah H. , Aljameel Sumayh S. , Alabbad Dina A. , Aldossary May Issa 
Published: March 2024

In decades, technology and artificial intelligence have significantly impacted aspects of life. One noteworthy development is ChatGPT, an AI-based model that has created a revolution and attracted attention from researchers, academia, and organizations in a short period of time. Experts predict that ChatGPT will continue advancing, bringing about a leap in artificial intelligence. It is believed that this technology holds the potential to address cybersecurity concerns, protect against threats and attacks, and overcome challenges associated with our increasing reliance on technology and the internet. This technology may change our lives in productive and helpful ways, from the interaction with other AI technologies to the potential for enhanced personalization and customization to the continuing improvement of language model performance. While these new developments have the potential to enhance our lives, it is our responsibility as a society to thoroughly examine and confront the ethical and societal impacts. This research delves into the state of ChatGPT and its developments in the fields of artificial intelligence and security. It also explores the challenges faced by ChatGPT regarding privacy, data security, and potential misuse. Furthermore, it highlights emerging trends that could influence the direction of ChatGPT's progress. This paper also offers insights into the implications of using ChatGPT in security contexts. Provides recommendations for addressing these issues. The goal is to leverage the capabilities of AI-powered conversational systems while mitigating any risks. Doi: 10.28991/HIJ-2024-05-01-010 Full Text: PDF
Innovative Label Embedding for Food Safety Comment Classification: Fusion of Self-Semantic and Self-Knowledge Features
Authors: Zhang Yiming , Liu Haozheng , Feng Jiaming , Zhang Xu 
Published: March 2024

Food safety comment classification represents a specialized task within the realm of text classification. The objective is to efficiently identify a large volume of food safety comments, aiding relevant authorities in timely food analysis and safety alerts. Traditional methods typically employ one-hot encoding for label processing. However, in real-world situations, classified labels often convey valuable semantic information and guidance. This paper introduces an innovative approach to enhance the classification performance of food safety comments by embedding label information. Initially, we extracted generic sentiment pivot words from various classification labels as label description information. Subsequently, we employ a joint embedding approach to integrate this label description information into the text. This process will pool the expressions of the pivot word into the corresponding sentiment labels in the known domains after averaging to get the embedded expression. This aims to acquire highly detailed self-semantic feature vectors and self-knowledge feature vectors that are integrated with labeled descriptive information. Then, feed the semantic representation of comments and the word-embedded representation of labeled description information into a time-step-based multilayer Bi-LSTM and a step-based multilayer CNN, respectively. Ultimately, we concatenate these two feature vectors to facilitate matching, thereby fusing the self-semantic and self-knowledge features of labeled description information to train a classification model for food safety comments. Experimental results on the food safety comment dataset showcase a noteworthy improvement of 1.74% and 1.27% in Macro_Precision and Macro_F1 metrics, respectively, compared to BERT, BERT-RNN, and BERT-CNN. Through extensive ablation experiments and additional studies, our method effectively embeds labeling information, demonstrating a clear advantage over traditional methods in the task of classifying food safety comments. Doi: 10.28991/HIJ-2024-05-01-013 Full Text: PDF
Refletindo sobre o hábito de leitura dos estudantes do curso de letras
Authors: Oliveira de Santana Novais Juliana , Avelino Matiniano da Silva Marta 
Published: March 2024

Este trabalho, de abordagem qualitativa, tem como objetivo refletir sobre o hábito de leitura dos estudantes do curso de Letras da Uneal Campus- V. Dessa forma, as perguntas que buscamos responder são: os estudantes do curso de Letras da Uneal Campus- V são leitores proficientes? O que esses estudantes leem? Com que frequência eles leem? Para esses estudantes a leitura é considerada importante na formação acadêmica? Mais especificamente, qual o hábito de leitura dos alunos graduandos do curso de Letras da Uneal Campus V? Para responder às indagações fez-se necessário aplicar um questionário a um total de 30 estudantes, matriculados no curso de Letras, bem como, recorrer a pesquisadores que abordam a temática da leitura. Acreditamos que a leitura perpassa toda a vida acadêmica do estudante e constitui-se em uma ferramenta profícua para a formação do sujeito crítico e reflexivo. Nessa perspectiva é por meio da leitura que o estudante tem acesso aos mais diversos conhecimentos adquiridos pela sociedade, tornando em uma atividade imprescindível para a formação acadêmica. A pesquisa revelou que apesar dos discentes reconhecerem a leitura como uma atividade de grande importância no meio acadêmico, uma parcela significativa dos estudantes não mantém a leitura como hábito cotidiano.
A política de escrita do ENEM: uma reprodução de discurso capitalista legitimado
Authors: Leite Magna 
Published: March 2024

O presente artigo é parte da minha tese de doutorado, neste recorte, tomei o Exame Nacional do Ensino Médio (ENEM) como exemplo de prova em larga escala que tem servido aos propósitos do sistema capitalista devido ao seu caráter seletivo e ilusório. Sendo assim, apresentamos uma breve trajetória que contextualiza o Exame, recortamos a Competência V que avalia as produções de texto dos candidatos e analisamos como a ilusão de transparência dos critérios avaliativos e do próprio processo criam um aluno “ideal”. Logo, nosso objetivo foi mostrar, sob a luz da Análise de Discurso Pechetiana, que esse “aluno ideal” é aquele regulado pela língua, submetido aos critérios avaliativos de uma prova, cujos resultados decidem se ele pode ou não participar do mundo acadêmico e individuado pelo Estado, tendo como instituição reguladora o INEP, em outras palavras, falamos de como o sistema capitalista, atua, também, no sistema educacional.
Mais uma que Jair Bolsonaro ganha: pistas linguístico-discursivas do discurso da hubris syndrome nos dizeres do presidente
Authors: Alcaria de Oliveira Lisiane , Bezerra Falcão de Oliveira Aline 
Published: March 2024

Este artigo tem por objetivo fazer análise discursiva de uma postagem realizada no perfil pessoal do Presidente Jair Bolsonaro, em 10/11/2020, na rede social Facebook, sobre a suspensão dos testes da vacina Coronavac pela Anvisa, à época. Adotamos os fundamentos da análise do discurso francesa de Michel Pêcheux (AD). Assim, identificaremos efeitos de sentido, silenciamentos, Sujeito, formação ideológica (FI), e discursiva (FD) no discurso. Elegemos, como dispositivo de análise, a tese da hubris syndrome (síndrome da arrogância) defendida por Owen (2008), o qual postula que pode ser desenvolvida por indivíduos que ocupam espaços de poder. Segundo esse pesquisador, sujeitos afetados por essa síndrome apresentam um padrão de comportamento que os descola da realidade e que deixa pistas linguísticas em seus discursos. Na materialidade analisada, encontramos algumas dessas pistas apontadas por Owen. Nossa conclusão demonstra que o discurso aqui analisado é inscrito, predominantemente, em uma FD político-religiosa pois, ao mesmo tempo que o sujeito discursivo estabelece uma arena política com um adversário, exalta a si mesmo como um ser messiânico, místico e vencedor. Essa FD encontra-se inscrita na FI do capital, cujas desigualdade e competição se constituem como pináculos de sustentação social do atual modo de produção.
Fe3O4@NH2@Oxalic Acid: A Convenient Catalyst for Synthesis of Pyrrolinone Derivatives
Authors: Esmaeilzadeh Seyran , Setamdideh Davood , Ghanbary Fatemeh 
Published: March 2024

Abstract. In this context, an amine-functionalized magnetite nanoparticle was synthesized from FeCl3•6H2O and 1, 2-ethylenediamine at 110 °C in ethylene glycol within 6 hours. Then, the obtained corresponding Fe3O4@NH2 was used for the preparation of Fe3O4@NH2@oxalic acid as organoacid-magnetic nanoparticles under ultrasonic irradiation at 60 °C within 4 hours. Its chemical structure was characterized by FT-IR, XRD, SEM, VSM, and EDAX spectra. The Fe3O4@NH2@oxalic acid nanoparticles were successfully used for the synthesis of pyrrolinones derivatives in excellent yields of the products (90-95 %) within 6-10 hours at room temperature in ethanol.

Resumen. Se sintetizó una nanopartícula de magnetita funcionalizada con aminas a partir de FeCl3•6H2O y 1,2-etilendiamina a 110 °C en etilenglicol durante 6 horas. Posteriormente, el Fe3O4@NH2 que se obtuvo se utilizó para la preparación de nanopartículas magnéticas organoácidas de Fe3O4@NH2@ácido oxálico por irradiación ultrasónica a 60 °C durante 4 horas. Su estructura química se caracterizó por sus espectros de FT-IR, XRD, SEM, VSM, y EDAX. Las nanopartículas de Fe3O4@NH2@ácido oxálico se utilizaron existosamente para sintetizar derivados de pirrolinonas con rendimientos excelentes (90-95%), en 6-10 horas de reacción a temperatura ambiente en etanol.
PENGARUH MODEL PEMBELAJARAN KOOPERATIF TIPE TEAMS GAMES TOURNAMENT (TGT) TERHADAP HASIL BELAJAR SISWA PADA MATERI OPERASI BENTUK ALJABAR
Authors: Arni Wa , Ratumanan Tanwey Gerson , Huwaa Novalin Calasin 
Published: March 2024

This study aims to determine the influence of the Teams Games Tournament (TGT) type cooperative learning model on student learning outcomes on algebraic form operation material. The type of research used is experimental research with a Post-test Only Control Group Design design. The population in this study was all grade VII students of SMP Negeri 21 Ambon which amounted to 73 people from 3 classes. In determining the sample, the Purposive Sampling technique was used, where the sample was students of class VII-1 as an experimental class taught using a cooperative learning model of the Teams Games Tournament (TGT) type and students of class VII-2 as a control class taught using a conventional learning model. The instrument used is a test instrument consisting of 5 description questions. The data analysis techniques used are the Independent Sample T-Test test and the effect test (Effect Size). The results showed that there was a difference in the average student learning outcomes between students who studied with the Teams Games Tournament (TGT) type cooperative learning model and students who studied with conventional learning models. Based on the calculation of the effect size with the cohen’s formula a value of 0,77 is included in the medium category, in applying the cooperative learning model of the teams games tournament (TGT) type it gives a not too high influence on student learning outcomes in algebraic operations material in class VII SMP Negeri 21 Ambon.