This project aims to develop an advanced system for interpreting X-ray diffraction (XRD) data and classifying it based on insights provided by Subject Matter Experts (SMEs). XRD is a critical analytical technique used across various industries, including materials science, geology, and geophysics, to determine the crystallographic structure of materials. However, the raw spectra generated from […]

The project entails an experimental and numerical investigation into the effect of adding seeding particles into a Phase Change Material (PCM) thermal storage system under the application of Electrohydrodynamics (EHD).In previous experiments we have seen an increase in heat transfer enhancement for the same applied electric field when we have added seeding particles. The objective […]

Regular physical activity confers robust health benefits, but many people are insufficiently active. Common cited barriers include a perceived lack of time and access to equipment and facilities. “Exercise snacks” are a style of physical activity characterized by isolated bouts of vigorous exercise lasting =1-min and performed sporadically throughout the day. They can include simple […]

Trauma often leaves lasting effects on mental health, increasing the risk of PTSD, depression, and anxiety. These challenges can worsen during hormonal shifts like menstruation, pregnancy, or menopause. Some women may have a heightened sensitivity to these changes that could amplify symptoms, while poor sleep, including insomnia and disrupted sleeping patterns, further complicate recovery. Despite […]

Neural networks support software engineers in their tasks and activities. For example, in the automotive domain, neural networks support automotive software by detecting other vehicles and their distance from the ego vehicle. Unlike other software systems that the engineers manually program, the neural network’s behavior is defined by its training data. Since the behavior of […]

Ellustros has developed an App and SMART Chair to provide an automated ergonomic office solution using AI and IoT technology. The app uses real-time data to assess optimal posture and automatically adjust the SMART Chair to ensure comfort, efficiency, and reduce the risk of injury. At this stage of the product development, the business model […]

In this study, researchers aim to investigate whether canagliflozin, an anti-diabetic agent, can enhance the effectiveness of enzalutamide in preclinical models of prostate cancer (PrCa). Prostate cancer often becomes resistant to current therapies, such as enzalutamide, due to various molecular pathways. Canagliflozin has shown promise in suppressing these pathways in prostate cancer cells and tumors, […]

There are however, a range of GCMs, future climate scenarios and downscalingtechniques that can be used and each yields different results. Due to this uncertainty, itis regarded as best-practice to use a collection of individual projections to develop“ranges” that characterize future climate conditions. The aim of this internship is toconduct this analysis for the variables […]

This project leverages AI to streamline multilingual book creation. It supports speech-to-text, bilingual content in English and Persian, automated editing, AI audiobook narration, and version tracking. This tool aims to boost productivity, ensure consistency, and enhance author accessibility.

Docetaxel is a key chemotherapeutic agent for treating locally advanced or metastatic breast cancer, but its effectiveness is often hindered by metabolic inactivation from drug-metabolizing enzymes, leading to multidrug resistance (MDR). This study aims to investigate the anti-metastatic effects of combining kaempferol, a flavonoid known for its anticancer properties, with docetaxel in both 2D and […]

The proposal aligns with an ongoing project conducted by the Gilbrea Dementia SHARE group which investigates the impact of a nature-based support program for older adults with dementia and their caregivers. This study focuses on social health and well-being outcomes for individuals living with dementia. The proposed project aims to identify the socio-ecological factors influencing […]

A poor diet quality and overconsumption of ultra-processed foods represent a looming public health crisis as reflected by a global ‘pandemic’ of obesity and cardiometabolic diseases, including type 2 diabetes. Nutritional studies are prone to bias and misreporting as they typically rely on questionnaires to assess the role of diet on human health outcomes in […]