Viruses can jump hosts and develop resistance due to genetic changes caused by mutations. Currently we have a limited understanding of viral mutations as traditional genetic sequencing technology can only extract certain mutations (those that occur at high frequency). Duplex seq is a sequencing technology able to detect rare mutations due to its very low […]

The goal of this project is to fabricate biocompatible, magnetic inks for 3D printing of structures that offer controlled motion by weak magnetic fields for various medical benefits such as increased imaging contrast, magnetic guidance and positioning of the structures. This has potential applications in regenerative medicine, such as smart implants, 3D printing of tissue […]

The availability of vegetative forage material is a crucial factor in determining the quality of habitat for waterfowl. During their migratory staging, waterfowl rely on consuming seeds and tubers of specific wetland plants to build their energy reserves. Phragmites australis, an invasive species, provides very little forage value, and is known to degrade wetland habitat […]

In this project, the results from Ultraviolet Near-Infrared Optical Northern Survey will be used to model dark matter mass distribution around galaxies in the galactic cluster. Observing weak gravitational lensing of background galaxies from the optical multi-band survey and determining its parameters will help us to simulate dark matter halos around galaxies, that cause lensing, […]

This research project will advance the development of a possible treatment for Dravet Syndrome, a rare form of childhood epilepsy caused by a genetic mutation. In Dravet syndrome, an important protein responsible for sending signals along the nerve fibers of the brain does not function, which results in overactivity and triggers debilitating and recurring seizures. […]

The research project aims to examine the attitudes of Ukrainians towards Russians, particularly about the concept of ‘good Russians’ during the ongoing full-scale war. The study will include the exploration of the socio-historical background of Russian-Ukrainian relations, as well as the analysis of the changes in attitudes before and after the Russian aggression in 2014. […]

Although brain resilience has long been thought to be important, only recently have methods been developed to measure it directly. In the proposed research, we will use one such method–known as the cortical challenge and recovery test (CCaRT)–to see if we can identify signs of concussion at the level of brain resilience. We will have […]

This study aims to analyze the dynamics of error propagation in the PIV-pressure analysis and suggests two approaches: I) a formal analysis and II) corresponding algorithms for optimal sensor placement that minimize the error propagation from the measured data to the computed pressure field. By analyzing the Poisson problem together with boundary conditions, the optimal […]

The project “Detecting Phishing Websites using Machine Learning Techniques” aims to develop a method that can accurately identify and block malicious websites. Machine Learning algorithms will be used to analyze various website features, such as URL, page content, rank and other indicators to determine if it is a phishing site or not. By identifying and […]

Many fluid flows are dominated by the dynamics of vortex formation and convection. Examples of practical importance include flows over aircraft wings/wind turbine blades and environmental flows. Knowledge of vortex parameters such as position, radius, circulation, and convective velocity are needed to understand and predict the influence of vortices on flow development. Although a vortex […]

This project aims to evaluate the effect of mowing on the insect community living in meadow plant stems. Mowing is a necessary practice in meadow restoration in cities due to the need to control invasive plant species. However, past studies have shown that mowing can also contribute to increased mortality rates in a wide variety […]

The use of virtual reality (VR) and realistic real-time graphics has become a critical component in various industries, including aviation. However, the benefits and necessity of full-motion simulators in training remain unclear, especially when considering the fundamental differences between tasks such as flying and driving. This research aims to address the knowledge gap in understanding […]