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Cyclist Near-Miss Detection Using Lightweight Deep Temporal Neural Networks

Saleh, K Grigorev, A Mihaita, A-S

Near-miss incidents, where cyclists narrowly avoid collisions, are critical for understanding and improving urban cycling safety but are often underreported in official statistics. This paper intro...

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A Novel Mixed-Integer Linear Programming Model for the Capacitated Arc Routing Problem Adapted to Roadside Management Operations

Castañeda-Rodríguez, I Mihaita, A-S Marche, B Dávila-Gálvez, S Camargo, M

Roadside management is an issue in many territories worldwide. Decision-makers face multiple challenges in finding the right combination in scheduling roadside maintenance activities while meeting ...

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Machine learning-based prediction model construction for type 2 diabetes mellitus: A comparison of algorithms and multi-level risk factor analysis

Xu, Q Ball, J Sun, J

BACKGROUND: Against the backdrop of the global high incidence of Type 2 diabetes mellitus (T2DM), existing prediction models are largely confined to single-dimensional risk factors, suffering from ...

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Challenging history taking encounters: a systematic review, meta-analysis and phenomenological framework.

Hossain, S Murray, K Zhang, L Jassem, AM Clarke, J Somers, J Dias, R Uridge, A Sharma, S Teodorczuk, A Keijzers, G McConnell, H Sun, J Amey, L Broadley, SA

OBJECTIVES: All physicians will experience challenging history taking encounters, where communication is impaired and negatively impacts the diagnostic process. The aims of this systematic review w...

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YOLODF: A Concrete Bridge Surface Damage Detection Model Based on Multiscale Feature Fusion in Complex Environments

Li, L Rashidi, M Yu, Y Bozorg, B Kalhori, H

Timely and efficient real-time surface damage detection is essential for maintaining the healthy operation of concrete bridges and has become a critical research focus. However, existing deep learn...

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A Framework for Leveraging LLMs for Scene Analysis and Cognitive Processing

Moreira, C Cockburn, J Castelhano, MS

In everyday visual search tasks, humans rely on prior knowledge of object placements in scenes to efficiently locate target objects. This ability is evidenced by eye movement patterns, where indivi...

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Deriving green competitive advantage in the SMEs: A sustainable firm performance perspective

Dahri, AS Saraih, UNB Rehman, J Salameh, AA Namisango, F

The role of SMEs is pivotal in driving the global economies. These represent 90 % of the business firms and provide over 50 % of the employment globally. Owing to an ever-increasing environmental c...

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Physics-Aware Novel-View Acoustic Synthesis with Vision-Language Priors and 3D Acoustic Environment Modeling

Fan, C Guan, J Lin, Y Xu, D Ye, T Zhu, Q Feng, P Wang, W

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Effects of occupational risk factors on dental diseases in industrial workers: a machine learning approach

Meng, X Rainbow, Y Tan, M Shi, Y Li, Z Ball, J Sun, J

Objective Dental disease is a longstanding global health problem, yet the role of occupational exposures in its development is underexplored. Using a large occupational health dataset of 66,449 ind...

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Trends and determinants of preterm birth and neonatal mortality in Ghana (2008–2022): a WHO antenatal care guidelines analysis

Akalanka, KHM Lin, K Sun, J

Background Preterm birth and neonatal mortality continue to pose significant public health challenges in Ghana. This study explores their temporal trends and associated determinants from 2008 to 20...

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