Digital Commons Network^™

Next-Generation Virtual Environment Training For Cybersecurity In The Maritime Logistics Industry: A Position Paper, Tyler Cheng, Rory Hopcraft, Kimberly Tam, Ji-Jian Chin

School of Engineering, Computing and Mathematics

The maritime logistics industry is the most dependent on it in the modern world, yet it is not well protected against cyber risks. Recently, the maritime industry has been transitioning into industry-specific tech, and threats of cyberattacks are increasing as the adoption of technology and automation continues. One of the most effective methods to protect industries and ships from such security incidents, is to train seafarers to mitigate and handle such incidents. However, to the best of our knowledge, we did not find anything that addresses this gap. This article will present the idea and benefits of using virtual environments …

Exploring The Acceptability Of Integrating Dietitians Into Primary Care Dental Services For Children, Lauren Hallewell, Raul Bescos, Zoe Brookes, Tracey Parkin, Robert Witton, Patricia Casas-Agustench

School of Health Professions

BACKGROUND: Dental caries is a common childhood non-communicable disease strongly associated with high sugar intake. Beyond oral health, a poor diet can affect children's growth, development, and overall well-being. While dietary advice is central to preventive dental care, some primary care dental clinics have introduced body mass index (BMI) assessments and further dietary advice to address wider nutritional concerns in children. However, these efforts are often constrained by limited nutrition training, time constraints and concerns about sensitivity. Integrating dietitians into primary dental care may help overcome these barriers by enhancing dietary guidance, supporting broader nutritional needs and facilitating structured BMI …

From Predictions To Explanations: Explainable Ai For Autism Diagnosis And Identification Of Critical Brain Regions: 18th International Joint Conference, Biostec 2025, Kush Gupta, Amir Aly, Emmanuel Ifeachor, Rohit Shankar

School of Engineering, Computing and Mathematics

Autism spectrum disorder (ASD) is a neurodevelopmentalcondition characterized by atypical brain maturation. However, the adaptationof transfer learning paradigms in machine learning for ASD researchremains notably limited. In this study, we propose a computeraideddiagnostic framework with two modules. This chapter presents atwo-module framework combining deep learning and explainable AI forASD diagnosis. The first module leverages a deep learning model finetunedthrough cross-domain transfer learning for ASD classification. Thesecond module focuses on interpreting the model’s decisions and identifyingcritical brain regions. To achieve this, we employed three explainableAI (XAI) techniques: saliency mapping, Gradient-weighted Class ActivationMapping, and SHapley Additive exPlanations (SHAP) analysis.This framework demonstrates that …

Biocompatibility Of Silver And Hydroxyapatite Antimicrobial Nanocoatings On Titanium Alloy Dental Implants With Human Gingival Fibroblasts, S Morgan, R D Handy, V M Salih, R N Salaie, C J Tredwin, A Besinis

School of Engineering, Computing and Mathematics

OBJECTIVES: Peri-implantitis compromises soft and hard tissues around dental implants, often leading to implant failure. Antibacterial nanocoatings offer a promising infection control strategy, but maintaining biocompatibility is essential. This study investigated, through a range of assays and analytical techniques, the biocompatibility of antimicrobial silver and hydroxyapatite (HA) nanocoatings applied to titanium implants with human gingival fibroblasts (HGFs).

METHODS: Silver and hydroxyapatite nanocoatings were applied to the surface of titanium alloy specimens using electroplating, deposition and sintering techniques. The biocompatibility of the nanocoatings with HGFs was assessed by measuring cell metabolic activity (alamarBlue), lactate dehydrogenase (LDH) release, collagen production (Sircol assay), …