Recently added works

Microplastics are an emerging environmental pollutant of concern because of their potential effects on biota, their ubiquity, and their persistence in the environment. Characterizing their occurrence…

A general mathematical/numerical methodology was developed for paper-based, microfluidic electrochemical flow cells. The methodology involves capillary flow, imbibition, mass transport, and…

Linear Programming (LP) and Integer Linear Programming (ILP) have increasingly been used in computational and systems biology methods in the past 24 years. From RNA and protein structure prediction…

Danger ratings are used across many fields to convey the severity of a hazard. In avalanche risk management, danger ratings play a prominent role in public bulletins where they concisely describe…

Humans are lifelong learners, we acquire and accumulate knowledge throughout our lives. In contrast to human learning, neural networks are susceptible to catastrophic forgetting: when adapted to…

Allegories of through: Abisal and Tejedora, is a dual, side by side installation based on the analysis of two frames for thinking identity, the Abyssal frame and the Nahua´s frame. The first…

Checkerboard Creek rock slope is a very slow-moving bedrock landslide located 1.5 km upstream of the Revelstoke Dam, on the Columbia River in British Columbia, Canada. This thesis presents the…

Although the vast majority of synthetic flocking models assume that agents in a flock are homogeneous, biologists have shown that this is not the case in real flocks. Mixed-species flocks, for…

Perfluorosulfonic acid (PFSA) based ionomers such as Nafion® are the technological standard for use in state-of-the-art proton exchange membrane water electrolysis (PEMWE) because of its high proton…

Humans have three types of β-glucosidases (GBA) enzymes named GBA1, GBA2, and GBA3 that break down glucosylceramide (GlcCer). Studies have suggested that GBA2 is involved in Gaucher disease via…

Neural networks have been successful on many individual tasks. However, they work poorly on a sequential stream of tasks when they do not have access to the previous data. This problem is called…

Rural communities are more vulnerable to climate change shocks and stresses due to community-based vulnerabilities associated with low and ageing populations, out-migration of youth, less funding…

Chronic pain is a significant health issue that negatively affects the quality of life of many individuals around the world and its prevalence is increasing each year especially among the older…

Deep neural networks are able to diagnose skin diseases from images accurately, but they still have a long way to go to be trusted in healthcare. In this thesis, we tackle two well-known problems in…

Reflections often degrade the quality of images by obstructing the background scenes. This is not desirable for everyday users, and it negatively impacts the performance of multimedia applications…

My dissertation examines the interplay between football, politics, violence, and morality in Argentina by considering the role of club officials, politicians, and fans, among other actors, in the…

We formalize and study the multi-goal task assignment and pathfinding (MG-TAPF) problem from both theoretical and algorithmic perspectives. The MG-TAPF problem is to compute an assignment of tasks to…

This knowledge translation study qualitatively explores strategies that facilitated hospital staff engagement in online educational games for dementia education. Interdisciplinary staff (n=2010) in…

Early soft-processor designs, targeting SRAM-based Field Programmable Gate Arrays (FPGAs), were heavily constrained by the logic capacities and functionality of the FPGAs of their time. Today, where…

Intraprotein electron transfer processes are crucial to the maintenance of cellular pathways that enable life as we know. Well-studied and well-characterized proteins such as cytochrome c and azurin…