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AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection

Qiao, H Niu, C Chen, L Pang, G

Graph anomaly detection (GAD) aims to identify abnormal nodes that differ from the majority of the nodes in a graph, which has been attracting significant attention in recent years. Existing genera...

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Crack Assessment Using Acoustic Emission in Cement-Free High-Performance Concrete Under Mechanical Stress

Rostampour, MA Mostofinejad, D Bahmani, H Mostafaei, H

This study investigates the cracking behavior of high-performance calcium oxide-activated concrete incorporating basalt and synthetic macro fibers under compressive and flexural loading. Acoustic e...

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The role of plant-derived compounds in anti-obesity drug discovery: A molecular perspective

Subramaniyan, V Ravi, RN Maqsood, S Singh, SK Chitra, V Dua, K Oliver, BG Dhanasekaran, S Gupta, G Singh, TG

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Genomics-Enhanced Cancer Risk Prediction for Personalized LLM-Driven Healthcare Recommender Systems

Lu, K Lu, J Xu, H Guo, K Zhang, Q Lin, H Grosser, M Zhang, Y Zhang, G

Cancer risk prediction is a cornerstone of personalized medicine that offers opportunities for early detection and preventive interventions. However, the current models are designed to predict canc...

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Utilization of Waste Marble Sludge in Self-Compacting Concrete: A Study on Partial Replacement of Cement and Fine Aggregates

Bahmani, H Mostafaei, H Mohamad Momeni, R Khoshoei, SM

This study presents a novel approach to the development of self-compacting concrete (SCC) by partially replacing both cement and fine aggregate (sand) with waste marble sludge (WMS), a byproduct of...

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Eco-Friendly Self-Compacting Concrete Incorporating Waste Marble Sludge as Fine and Coarse Aggregate Substitute

Bahmani, H Mostafaei, H

This research investigates the feasibility of producing eco-friendly self-compacting concrete (SCC) by partially replacing both fine and coarse natural aggregates with waste marble sludge (WMS), a ...

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Causal Time-aware News Recommendations with Large Language Models

Huang, S Li, Q Yang, H Yu, D Li, Q Xu, G

Predicting user satisfaction over time is crucial in news recommendations, as users’ preferences are significantly influenced by various time-variant factors. Traditional correlation-based recommen...

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From Transcripts to Themes: A Trustworthy Workflow for Qualitative Analysis Using Large Language Models

Bakharia, A Shibani, A Lim, LA McCluskey, T Shum, SB

We present a novel workflow that leverages Large Language Models (LLMs) to advance qualitative analysis within Learning Analytics, addressing the limitations of existing approaches that fall short ...

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Scaling qualitative insight: An agentic workflow for analysing student voices

Bakharia, A Shibani, A Pineda Miranda, B Lim, L McCluskey, T Buckingham Shum, S

Educators often rely on textual data from student evaluation comments and feedback survey responses to gain insights into students’ learning, understand their perceptions of educational innovations...

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Supermarket price gouging will be banned from July. Will consumers actually end up better off?

Paul, S Tian, G

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