• Identification and molecular analysis of pancreatic cancer-derived small extracellular vesicles

  Panda, Arunima (2024)

  Pancreatic cancer (PC) is a deadly metastatic disease with low survival rate. In recent decades, it has become evident that small extracellular vesicles (sEVs) play a role in intercellular communication in normal physiological ...
• Exploring the association between recent concussion, subconcussive impacts and depressive symptoms in male Australian Football players

  Harris, Sarah ; Chivers, P.T.; McIntyre, F.L.; Piggott, B.; Bulsara, M.; Farringdon, F.H. (2020)

  Objectives To explore the association between depressive symptoms and recent head-related trauma (diagnosed concussion, subconcussive impacts) in semiprofessional male Australian Football (AF) players. Methods Sixty-nine ...
• Exploring Emergency Department (ED) allied health Care Coordination Team (CCT) services provided with frail older adults in the ED at Sir Charles Gairdner Hospital (SCGH)

  Murphy, Kim (2024)

  This mixed methods study explored evidence-based allied health care and the services provided by the allied health Care Coordination Team in an Emergency Department (ED) with frail older adults. Allied health are well ...
• The Antecedents and Consequences of Social Media Brand Engagement Towards Organizations’ Facebook Brand Pages

  Morshed, Ahmed Fahim (2025)

  PR practitioners should consider social media as a relationship management tool, which academic researchers have yet to address. PR professionals still use one-way communication, which doesn't create engagement. This study ...
• Exploring safety aspects of maternity care through the lens of midwifery students’ clinical experiences in Belgium, Czech republic, Estonia, Norway, Slovakia: A qualitative study.

  Javornická, Daniela; Folkvord, Synnøve Mari; Jaeken, Annelies; Krčméryová, Terézia; Kisvetrová, Helena; Steen, Mary (2025)

  Background Meeting the safety needs of women and newborns is crucial in preventing harm in maternity care. Recent recommendations suggest that childbirth needs to be understood through a broader framework, since maternal ...
• Predicting overbreak and underbreak in underground longhole stoping using meta-soft computing models

  Taheri, sina; Topal, Erkan; Nguyen, Hoang; Jang, Hyongdoo; Shirani Faradonbeh, Roohollah (2025)
• Mobile phones as fomites for pathogenic microbes: A cross-sectional survey of perceptions and sanitization habits of health care workers in Dubai, United Arab Emirates

  Albastaki, Abdulla; Olsen, Matthew; Almulla, Hanan; Nassar, Rania; Boucherabine, Syrine; Mohamed, Lobna; Almheiri, Reem; Kachigunda, Barbara ; McKirdy, Simon; Alghafri, Rashed; Tajouri, Lottie; Senok, Abiola (2023)

  BACKGROUNDS: In 2022, smartphone use continues to expand with the number of smartphone subscriptions surpassing 6 billion and forecasted to grow to 7.5 billion by 2026. The necessity of these 'high touch' devices as ...
• Multi-Class Anxiety Classification using Error-related EEG Signals and Deep Learning Models

  Chandrasekar, Ramya (2024)

  Anxiety disorders impact mental and physical health globally. This study classifies anxiety severity levels using Error-Related Negativity (ERN) signals from EEG data, analyzing 163 participants during a go/no-go task. ...
• Household attitudes and institutional positions towards shared vehicles and autonomous automobility.

  Kovacs, Ferenc Stephen (2025)

  This thesis examined household and planning attitudes to shared vehicles and autonomous automobility. Many residents had used ridesourcing and held favourable attitudes to shared autonomous vehicles to reduce car ownership ...
• Development of An Artificial Neural Network (ANN) Model for Improved Corrosion Management using Fly Ash Geopolymer Concrete (FAGC) in Marine Infrastructure Applications

  Shahedan, Noor Fifinatasha Binti (2025)

  OPC for marine infrastructure. Optimized mixes demonstrated a significant 65-70% reduction in chloride migration by 56–90 days, validating long-term durability despite higher early-age porosity. An Artificial Neural Network ...

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