Antibiotics are applied to agricultural plants and soils as plant protection products (PPPs) to combat bacterial disease. Their use in agriculture has the potential to cause development and spread of antibiotic resistance genes. Non antibiotic PPPs such as herbicides and insecticides are also applied to agricultural soils. There has been limited research into whether non […]

The proposed research project will examine the applicability of William Caplin’s theories of formal functions to the music of the 19th-century Spanish composer Isaac Albéniz. Caplinian formal-function theory considers the “syntactical” roles played by various parts/sections of particular musical work in relation to the whole, and the capacity of different compositional techniques to express musical […]

Peatlands, a type of wetland containing a thick organic layer of partially decayed plant material, are the largest terrestrial carbon stocks. Climatic changes, including warming, could result in a lowering of the water table in peatlands, increasing oxygen availability to microbes and mesofauna allowing faster break down of the organic material and consequent release of […]

Arboviruses pose an ever-growing concern as the habitat of vectors expand alongside climate change. The outcome of outbreaks is often heavily influenced by the immune status of the population. Different pathogens can either protect against others or increase susceptibility and morbidity depending on infection timings and how closely related the pathogens are. A good example […]

The proposed research will explore how Canadian women’s interactions with health and fitness content on Instagram impacts upon physical activity participation. This research is sorely needed because, while social media is increasingly pertinent to the formation of everyday health practices, this dimension is seldom explored. In addition, this project will pilot a novel method, developed […]

Environmental variability is a fundamental component of adaptation; it is usually associated with modifications in the organism’s observable traits, particularly for those with limited plasticity. We will use a bioenergetic model as a framework to understand this variance in the organism’s traits. We will focus on the effect of individual physiological differences, which are represented […]

The purpose of Research Project contributions is to analyze the coupled radiation-conduction and/or convection heat transfers in a 2D enclosure contains an absorbing, emitting and non-scattering real medium (CO2, H2O, or their mixture) using the lattice Boltzmann method (LBM). The usage of this method makes it possible to assess the effect of real media radiative […]

La réalité virtuelle est un outil de plus en plus utilisé par et pour les personnes aînées. Par contre, il y a peu de connaissances scientifiques entourant l’utilisation de cette technologie dans le cadre d’expériences de nature sociale. Ce projet vise donc à mieux comprendre comment les personnes aînées réagissent à des activités de sensibilisations […]

Episodic memory, our fascinating ability to encode and mentally relive past experiences, lies at the core of human cognition. It allows individuals not only to recall past events, but it is crucial in planning and guiding future behavior. However, among all of our daily-life experiences, only some events will be transformed into lasting memories, particularly […]

Our research seeks to better understand challenges that translators encounter in translating stories for the diverse sites on the Global Storybooks portal (https://globalstorybooks.net/), and how they resolve these challenges. We will draw on our existing database of translation data to investigate how translators draw on a range of linguistic resources to achieve a satisfactory representation […]

Reliability is a fundamental requirement for computational systems, brains and artificial models alike: a system should respond the same way for repeated presentations of the same stimulus. However, the brain has two features that can threaten its reliability: intrinsic stochasticity and chaos. Stochasticity takes the form of random fluctuations affecting the reliability of components of […]

Neuroscience-inspired AI has emerged as state-of-the-art in many machine learning applications. Recurrent Neural Networks (RNNs) are a machine learning tool used to learn patterns in sequential (time-dependent) data which have also been used to model neural dynamics in the brain. Various frameworks have been developed to create RNNs capable of learning from data which have […]