Analysis of the Evolution of Early Streaming Services: Development, Successful Strategies, and Future Directions. Case Study of Netflix, Disney+, and Amazon Prime Video.

This project explores the evolution and strategic development of early streaming services, including Netflix, Disney +, and Amazon Prime Video. The aim is to study the technological, social, and economic catalysts that have defined the landscape of digital media consumption. An in-depth analysis of these largest platforms’ growth tactics and operational activities will reveal the […]

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Thermodynamic modelling of binary and ternary deep eutectic solvents

Green solvents are expected to present certain features: availability, non-toxicity, recyclability, biodegradability, non-flammability and low cost. Deep eutectic solvents (DESs) have been studied for the last two decades as a greener alternative to organic solvents since they have cheaper production, are less toxic and are commonly biodegradable. Although phase diagrams of several DESs have been […]

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Advancing Gene Expression Microarray Analysis: Assessing and Enhancing the Linear Combination Test Through Integration with Machine Learning Tools

Understanding which genes are involved in diseases is incredibly important because it helps us develop better treatments. By identifying these genes, scientists can better understand how diseases operate in our bodies and create more effective treatments. This also allows for the creation of personalized treatments based on a person’s unique genes, increasing their chances of […]

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Assay and Portable Device for the Assessment of an ALS Biomarker

A PhD student from the IMDEA Nanoscience research institute in Spain will travel to Canada for an internship at the University of British Columbia. This internship will initiate a new collaboration to develop materials, methods, and devices for detecting a protein malfunction in white blood cells that reflects the emergence of the neurodegenerative disease, amyotrophic […]

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Design and Implementation of a Type System for Enhanced Mathematical Operations in Rings

The project “Design and Implementation of a Type System for Enhanced Mathematical Operations in Rings” aims to develop a Java library with a straightforward application programming interface (API) that simplifies complex mathematical computations within rings, including solving matrix equations. While this library is designed as a part for the bigger research project called “Symmetric system […]

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Evaluating LLMs for Sentence Encoding and Clustering to support Thematic Analysis in Qualitative Research

The project “Evaluating LLMs for Sentence Encoding and Clustering to support Thematic Analysis in Qualitative Research” aims to provide qualitative researchers with advanced machine learning techniques for social media data analysis while maintaining autonomy and ownership of their data analysis. By benchmarking modern Language and Large Language Models against established metrics such as coherence and […]

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Exploring Age-Related Changes in Multisensory Integration using Machine Learning tools

The project “Exploring Age-Related Changes in Multisensory Integration using Machine Learning tools” aims to investigate how changes in neurotransmitter concentrations influence the way young and older adults integrate multisensory information and perceive time. Its main method of investigation involves applying machine learning tools to analyze the extensive dataset collected from behavioral tasks, Magnetic Resonance Spectroscopy, […]

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Lignin-Sourced Radical Initiators towards Visible-Light-Promoted cycloaddition reactions

This research initiative focuses on the development of sustainable and eco-friendly methods for harnessing natural resources, particularly wood, to produce valuable chemical compounds with applications in materials, pharmaceuticals, and agriculture. Through a collaborative effort involving experts from Canada and Italy, we aim to pioneer chemical reactions that leverage visible light and wood-derived compounds as catalysts […]

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Scaling laws of GPBO algorithms

Déterminer les lois de scalabilité du cadre algorithmique GPBO pour l’appliquer à la résolution de n’importe quelle disponibilité de ressource physique en termes de mémoire et capacité computationnelle, à partir des microcontrôleurs jusqu’au clusters de computation. En particulier, évaluer : 1) le contraintes physiques et mathématiques qui déterminent la fonction multivariée entre la disponibilité de […]

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Evaluate the impact of green infrastructure on reducing the risk of contamination during contact recreational activities in dense urban areas using a QMRA model

The project aims to investigate whether implementing Blue-Green Infrastructure (BGI) can provide extra protection to bathing and water recreation areas from Combined Sewer Overflow (CSO) risks. By utilizing the Storm Water Management Model (SWMM) software and Quantitative Microbial Risk Assessment (QMRA), this internship abroad offers a unique chance to assess such risks comprehensively. It also […]

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Mental health, substance use and treatment seeking in Canada and Australia: a cross-national comparison

Mental health and substance use disorders are the leading cause of disease burden in Australia and Canada, both alone and in co-occurrence. In recent years, the Australian federal government has actively promoted expanding both the quality and quantity of mental health services, including innovation in areas like early intervention in psychosis and digital technologies. In […]

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