Optimizing AI-Driven EdTech Solutions for Enhanced English Learning: A TOPSIS Approach by Liu Yang, Lu Li, Li Wang

“…The purpose of this study is to assess the impact of AI and EdTec on education. In this article, we defined the multi-criteria decision-making (MCDM) procedure to manage ambiguity and awkward information by integrating the Technique for Order of Preference by Similarity to the Ideal Solution (Topsis) method with Circular q-Rung orthopair fuzzy set (Cq-ROFS), and Bonferroni mean (BM) operators to evaluate and prioritize AI-driven EdTech tools. …”
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Want a worry-free trip? Seeking the optimal travel paradigm in view of public-to-individual risk perception by Chunbing Bao, Yuqiao Hui, Zhen Zhang, Qinyue Zheng, Qingchun Meng

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Dynamic scaffolding: exploring the role of artificial intelligence in urban design education by Kin Wai Michael Siu, Jiayi Zou, Yijia Jiang, Zi Yang, Keren Zhang, Tianjiao Zhao

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Six Sigma model with implement SAPF to enhance power quality and product quality at induction heat treatment process by Minh Ly Duc, Petr Bilik, Radek Martinek

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Large-scale moral machine experiment on large language models. by Muhammad Shahrul Zaim Bin Ahmad, Kazuhiro Takemoto

“…These findings suggest that while increasing model size may naturally lead to more human-like moral judgments, practical implementation in autonomous driving systems requires careful consideration of the trade-off between judgment quality and computational efficiency. Our comprehensive analysis provides crucial insights for the ethical design of autonomous systems and highlights the importance of considering cultural contexts in AI moral decision-making.…”
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Automatic segmentation of chest X-ray images via deep-improved various U-Net techniques by Sedat Orenc, Mehmet Sirac Ozerdem, Emrullah Acar, Musa Yilmaz

“…This can lead to improved clinical decision-making and reduced diagnostic delays. Future work will focus on integrating U-Net9 with multimodal imaging data, such as combining CXR with computerized tomography or MRI scans. …”
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Comparison of Deep and Machine Learning Approaches for Quebec Tree Species Classification Using a Combination of Multispectral and LiDAR Data by Omid Reisi Gahrouei, Jean-François Côté, Philippe Bournival, Philippe Giguère, Martin Béland

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A Novel Weighted Hybrid Recommendation System using Sharpe Ratio for a Profitable Diversified Investment Portfolio by J. R. Saini, C. Vaz

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A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets by Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro

“…The proposed methodology integrates a transformer-based encoder, multi-teacher knowledge distillation, and a symbolic belief–desire–intention (BDI) reasoning layer to combine deep feature extraction with interpretable decision making. The novelty of this work lies in the incorporation of cognitive symbolic reasoning into a high-performance learning architecture for fraud detection. …”
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Iranian EFL Learners’ Interactional Competence in Paired Speaking Tasks: An Account of Task Type Variability by Manoochehr Jafarigohar, Afsar Rouhi, Shirin Rahimi Kazerooni

“…Post-hoc comparisons carried out made it clear that from among the four tasks (i.e., Spot-the-difference, Story-completion, Decision-making, and Free-discussion) only the Story-completion task was the source of variability in the scores of interactional competence. …”
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Research status and progress on key technologies of intelligent orchard by CUI Hongwei, LU Xiaoxuan, YANG Yaqing, LU Xinyi, MA Hao, JI Jiangtao, JIN Xin, LI Xiuzhen, ZHAO Zimeng, ZENG Ningning

“…Secondly, intelligent decision-making systems are essential for achieving smart orchard production. …”
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The PERFORM Study: Artificial Intelligence Versus Human Residents in Cross-Sectional Obstetrics-Gynecology Scenarios Across Languages and Time Constraints by Canio Martinelli, MD, Antonio Giordano, MD, Vincenzo Carnevale, PhD, Sharon Raffaella Burk, PhD, Lavinia Porto, MD, Giuseppe Vizzielli, MD, Alfredo Ercoli, MD

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Diagnostic Accuracy of Non-Radiologist-Performed Ultrasound for Diagnosing Acute Appendicitis in Pediatric Patients: A Systematic Review and Meta-Analysis by Se Kwang Oh

“…These findings support its implementation in emergency or resource-constrained settings and suggest that incorporating structured ultrasound training for non-radiologists may improve timely diagnosis and optimize clinical decision-making in pediatric emergency care.…”
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Exploring mental health literacy and its associated factors among health care providers: a National Cross-Sectional Study in Saudi Arabia by Naif Z. Alrashdi, Naif Z. Alrashdi, Riyaz Ahamed Shaik, Riyaz Ahamed Shaik, Mohammad Shakil Ahmad, Mohammad Shakil Ahmad, Bader A. Alrasheadi, Bader A. Alrasheadi, Tariq H. Alotaibi, Tariq H. Alotaibi, Ibrahim Z. Alrashedy, Sarah Bajuaifer, Sadiya Ahmad, Khlooud Awad Alrashidi, Nora A. Althumiri, Nora A. Althumiri, Nasser F. BinDhim, Nasser F. BinDhim

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Advancing understanding of human variability through toxicokinetic modeling, in vitro-in vivo extrapolation, and new approach methodologies by Anna Kreutz, Xiaoqing Chang, Helena T. Hogberg, Barbara A. Wetmore

“…In toxicology the need has been the derivation of quantitative estimates of toxicokinetic and toxicodynamic variability to evaluate the suitability of the tenfold uncertainty factor employed in risk assessment decision-making. Consideration of a host of physiologic, ontogenetic, genetic, and exposure factors are all required for comprehensive characterization. …”
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Knowledge, Barriers, And Management Implications of Maintaining Hospital Information System (His) Among Staff Nurses In Uttar Pradesh, India by Umme Ruman, Seema Rani, Uzma Anjum

“… Background: Hospital Information System (HIS) play a critical role in enhancing hospital management by providing timely access to patient data, supporting clinical decision- making and streamlining administrative tasks. …”
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Microsimulation models on child and adolescent health: a scoping review protocol by Filipa Sampaio, Claire de Oliveira

“…As a result, these models can be useful tools to help guide decision-making. A comprehensive review of the literature on child and adolescent microsimulation models has yet to be undertaken. …”
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Integrating and retrieving learning analytics data from heterogeneous platforms using ontology alignment: Graph-based approach by Mohd Hafizan Musa, Sazilah Salam, Siti Feirusz Ahmad Fesol, Muhammad Syahmie Shabarudin, Jack Febrian Rusdi, Mohd Adili Norasikin, Ibrahim Ahmad

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Do Meta‐Analyses of Total Hip Arthroplasty Produce Reliable Results? A Systematic Review and Meta‐Epidemiological Study of Statistical Methods by Nikolai Ramadanov, Maximilian Voss, Radharani Michelle Diallo, Jonathan Lettner, Hassan Tarek Hakam, Robert Prill, Roland Becker, Robert Hable

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On the Potential of Bayesian Neural Networks for Estimating Chlorophyll-a Concentration from Satellite Data by Mohamad Abed El Rahman Hammoud, Nikolaos Papagiannopoulos, George Krokos, Robert J. W. Brewin, Dionysios E. Raitsos, Omar Knio, Ibrahim Hoteit

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