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Assessing the Key Construction Safety Challenges in Sri Lanka: A Survey-Based Study

Weerakoon, A Thorpe, D Heravi, A Chakraborty, S

The construction industry is a key driver of economic development in a developing country like Sri Lanka. However, many construction projects still face serious safety challenge areas such as poor ...

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Uniting and reigniting critical Wikimedia research

Jankowski, S Ford, H Iliadis, A Sidoti, F

Over the past fifteen years, Wikimedia's technical relationships and social meanings have shifted from supporting the creation of an encyclopedia that seeks to store humanity's knowledge to a pivot...

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Ischiofemoral impingement: Clinical perspectives for enhancing diagnosis, and rehabilitation

Grimaldi, A Ganderton, C Nasser, A

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Guide-LLM: An Embodied LLM Agent and Text-Based Topological Map for Robotic Guidance of People with Visual Impairments

Song, S Kodagoda, S Gunatilake, A Carmichael, MG Thiyagarajan, K Martin, J

Navigation presents a significant challenge for persons with visual impairments (PVI). While traditional aids such as white canes and guide dogs are invaluable, they fall short in delivering detail...

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Policy responses to doctor and nurse migration in the European Region: insights from nine country case-studies.

Dussault, G Zapata, T Buchan, J Andersen, Y Salomudin, Y Montebello, V Tuseth Aasheim, E Blidaru, TC Garofil, ND Humphries, N Gabrani, J Nadareishvili, I Ghazaryan, E Comsa, R Qurbonova, R Otgon, S Bejtja, G Makhmudova, P Dastan, I Dias, C Roubal, T Nandi, S Llop-Girones, A Azzopardi-Muscat, N

The WHO Regional Office for Europe conducted 9 country studies of migration of doctors and nurses. This paper identifies similarities and variations in migratory flows, factors that influence them,...

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An integrated framework for multi-commodity agricultural price forecasting and anomaly detection using attention-boosted models

Sediyono, E Hartomo, KD Arthur, C Utami, I Prabowo, R Chiong, R

Global agricultural systems are increasingly exposed to price instability driven by climate extremes, logistic disruptions, and market uncertainty. These conditions complicate efforts to monitor an...

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An approach for crop recommendation with uncertainty quantification based on machine learning for sustainable agricultural decision-making

Alam, MSB Esichaikul, V Lameesa, A Ahmed, SF Gandomi, AH

While machine learning (ML) models for crop recommendation have demonstrated high predictive accuracy, a critical gap persists in their practical reliability: the omission of uncertainty quantifica...

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MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents

Yang, W Li, Y Fang, M Chen, L

Understanding temporal dynamics is critical for conversational agents, enabling effective content analysis and informed decision-making. However, time-aware datasets, particularly for persona-groun...

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data2lang2vec: Data Driven Typological Features Completion

Amirzadeh, H Jafari, S Harju, A Van der Goot, R

Language typology databases enhance multi-lingual Natural Language Processing (NLP) by improving model adaptability to diverse linguistic structures. The widely-used lang2vec toolkit integrates sev...

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Trial tribulations: Lessons learned from an unsuccessful pilot trial of Behavioural Activation in young people with early or emerging psychosis at a regional mental health service.

Catalao Dionisio Murta, J Nic Giolla Easpaig, B Byrne, MK Gray, R Jones, M Mitchell, D Creek, R Brown, E Tan, J-YB Dennis, S Bressington, D

AimThe experience of conducting an unsuccessful pilot trial of behavioural activation (BA) to improve depressive symptoms in young clients with early or emerging psychosis is reported on. We aimed ...

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