Technology acceptance model, trust, and financial behavior in shaping consumer well-being: Insights from fintech adoption in urban Indonesia by Arief Budiyanto, Iman Lubis, Ibrahim Bali Pamungkas, Asep Erlan Maulana

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Generative artificial intelligence acceptance, anxiety, and behavioral intention in the middle east: a TAM-based structural equation modelling approach by Mona Gamal Mohamed, Polat Goktas, Shimaa Abdelrahim Khalaf, Aycan Kucukkaya, Ibrahim Al-Faouri, Ebtisam Abd Elazeem Saber Seleem, Awatef Ibraheem, Aya M. Abdelhafez, Saleh O. Abdullah, Hanan Nasef Zaki, Abdulqadir J. Nashwan

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A Computationally Efficient <i>p</i>-Refinement Finite Element Method Approach for the Fracture Analysis of Axially Cracked Pipes with Composite Patch Reinforcement by Jae S. Ahn

“…Benchmark studies show that the proposed model accurately predicts mechanical behavior, with maximum displacement and stress intensity factors (SIFs) deviating by less than 5% from reference solutions. …”
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Intraosseous focal venous malformation of the mandibular body: Cone beam computed tomography planning followed by piezoelectric knife resection and free bone graft reconstruction by Nikolić Živorad S., Jelovac Drago B., Šabani Melvil, Jeremić Jelena V., Boričić Ivan

“…According to biological behavior of this lesion, adequate diagnostic and treatment strategies are necessary in order to avoid possible complications. …”
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Buoyant Flow and Thermal Analysis in a Nanofluid-Filled Cylindrical Porous Annulus with a Circular Baffle: A Computational and Machine Learning-Based Approach by Pushpa Gowda, Sankar Mani, Ahmad Salah, Sebastian A. Altmeyer

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Logic Gate Generation in a Monostable Optical System: Improving the Erbium-Doped Fiber Laser Reconfigurable Logic Operation by Samuel Mardoqueo Afanador-Delgado, José Luis Echenausía-Monroy, Guillermo Huerta-Cuellar, Juan Hugo García-López, Erick Emiliano Lopez-Muñoz, Rider Jaimes-Reátegui

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Computational Fluid Dynamics study of element type and turbulence model impact on a flow over a spacer grid using Simcenter STAR-CCM+ by Tiago Augusto Santiago Vieira, Yasmim Martins Carvalho, Higor Fabiano Pereira de Castro, Keferson Almeida Carvalho, Rebeca Cabral Gonçalves, Pedro Henrique Araújo, Davi Cury, Vitor Vasconcelos Araújo Silva, Graiciany Paula Barros, Andre Augusto Campagnole dos Santos

“…The Polyhedral EB and RTL models exhibited behavior most consistent with the experimental results. …”
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Experimental and Computational Fluid Dynamics Simulation Study on the Performance of a Two-stroke Aviation Engine: A Comparative Analysis of Turbulence Models and Mesh Strategies by G. Coskun, Y. Delil, U. Demir

“…This study presents an experimental and computational fluid dynamics (CFD) analysis to evaluate the performance of a two-stroke aviation engine under constant operating conditions. …”
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Performance and Cost-Effectiveness of Computed Tomography Lung Cancer Screening Scenarios in a Population-Based Setting: A Microsimulation Modeling Analysis in Ontario, Canada. by Kevin Ten Haaf, Martin C Tammemägi, Susan J Bondy, Carlijn M van der Aalst, Sumei Gu, S Elizabeth McGregor, Garth Nicholas, Harry J de Koning, Lawrence F Paszat

“…<h4>Background</h4>The National Lung Screening Trial (NLST) results indicate that computed tomography (CT) lung cancer screening for current and former smokers with three annual screens can be cost-effective in a trial setting. …”
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Improved Crime Prediction Using Hybrid Neural Architecture Search Together with Hyperparameter Tuning by Rami Ayied Alshahrani, Tariq Jamil Saifullah Khanzada

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Runtime verification approach for DoS attack detection in edge servers by Bin YU, Nan ZHANG, Xu LU, Zhenhua DUAN, Cong TIAN

“…Aiming at the DoS (denial of service) attacks against edge servers in an edge computing system, a parallel runtime verification approach for DoS attack detection was proposed.First, PPTL (propositional projection temporal logic) formulas were utilized to formally describe expected behaviors of an edge server and DoS attack characteristics.Then, for the PPTL formulas to be verified, a parallel runtime verification framework was adopted to make use of the computing and storage resources of an edge server to conduct anomaly detection and misuse detection.The proposed attack detection approach was performed for an actual P2P (peer-to-peer) network based on smart parking system using edge computing which was supposed to suffer from a DoS attack.Experiments show that the proposed method can accurately and efficiently identify abnormal behaviors of edge servers and types of DoS attacks.…”
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A Survey on Integration of Empathy Cues Into Empathetic Text Generation by Edwin C. Montiel-Vazquez, Christian Arzate Cruz, Jorge Adolfo Ramirez Uresti, Miguel Gonzalez Mendoza, Randy Gomez

“…In recent years, affective computing has seen a surge in empathetic response generation algorithms. …”
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A Survey on QoE Management Schemes for HTTP Adaptive Video Streaming: Challenges, Solutions, and Opportunities by Reza Kalan, Ismail Dulger

“…Monitoring network traffic patterns and client behaviors provides client-side players with greater intelligence to adapt suitable video quality. …”
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A method to manage the energy consumption of cloud centers for predictability in neuro-fuzzy networks by Ying Zhang

“…The work is applied to the very important sustainability issue of cloud computing, providing a robust framework suitable for the dynamic and nonlinear behaviors of cloud environments. …”
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CS-FL: Cross-Zone Secure Federated Learning with Blockchain and a Credibility Mechanism by Chongzhen Zhang, Hongye Sun, Zhaoyu Shen, Dongyu Wang

“…Additionally, the credibility incentive mechanism penalizes nodes that bypass probe mechanism and engage in malicious behaviors, effectively mitigating the impact of deceptive attacks. …”
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Personalized Clustering for Emotion Recognition Improvement by Laura Gutiérrez-Martín, Celia López-Ongil, Jose M. Lanza-Gutiérrez, Jose A. Miranda Calero

“…Emotion recognition through artificial intelligence and smart sensing of physical and physiological signals (affective computing) is achieving very interesting results in terms of accuracy, inference times, and user-independent models. …”
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Novel Real-Time Power System Scheduling Based on Behavioral Cloning of a Grid Expert Strategy with Integrated Graph Neural Networks by Xincong Shi, Chuangxin Guo

“…This paper introduces a novel Behavioral Cloning of Grid Expert Strategy with Integrated Graph Neural Networks (GES-GNNBC) method for efficient and highly accurate real-time dispatch. …”
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Bifurcation analysis and dynamical behavior of novel optical soliton solution of chiral (2 + 1) dimensional nonlinear Schrodinger equation in telecommunication system by Hicham Saber, Md. Mamunur Roshid, Mohamed Bouye, Abdulghani Muhyi, Abdelkader Moumen, Khaled Aldwoah

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Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data by Ruchika Bhuria, Sheifali Gupta, Upinder Kaur, Salil Bharany, Ateeq Ur Rehman, Seada Hussen, Ghanshyam G. Tejani, Pradeep Jangir

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Using the MAPS-Global Audit Tool to Assess the Influence of Microscale Built-Environment Attributes Related to Physical Activity and Sedentary Behavior in Spanish Youth by Marta Terrón-Pérez, Javier Molina-García, Elena Santainés-Borredá, Isaac Estevan, Ana Queralt

“…Accelerometers and self-reported questionnaires were used to measure PA, including active commuting, and sedentary behavior, and the MAPS (Microscale Audit of Pedestrian Streetscapes)-Global tool was used for microscale variables. …”
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