Selective bio-adsorbent for recovering heavy metals from mine tailings

Mining has been a major, invaluable source of wealth and employment for Canada. However, mining activities involve the release of heavy metals into the environment through its process tailings. These metals are highly toxic to the environment, but they are also recoverable and have high market value for other applications. There are various treatments to […]

Read More
Conductive polymer deposition for textile strain sensors

Body movements are an important biomedical parameter that can be measured using wearable devices. Notable applications of wearable sensors range from monitoring individuals suffering from loss of autonomy to monitoring athletes’ performance. These movements can include breathing, speech, limb motion as well as heartbeat. Accurate measurement of these movements requires precise and sensitive strain and […]

Read More
The latent of Spectra fusion of X-Ray Fluorescence (XRF) and Mid-Infrared (MIR) Spectroscopy for detection and management of the Aluminium (Al) and Manganese (Mn) content in Canadian Soils for Potato (Solanum tuberosum L) cultivation.

The successful agronomic strategy relies on nutrient detection and estimation. Adequate management of nutrients is an important concern for the whole growth period of Potato (Solanum tuberosum L.) cultivation. In this work, we try to analyze the situation of potential harmful elements for potato production such as Aluminium (Al) and Manganese (Mn) in soil and […]

Read More
Hierarchical Connectivity Maintenance in Swarm Systems

The organization and control of swarm systems have been either completely decentralized where all the robots use only local observation and simple rules for coordination and cooperation which leads to emergent behavior. There are advantages to using this decentralized paradigm such as redundancy, scalability, and simplicity, but such systems tend to be slow and difficult […]

Read More
Deep Learning Models for Principled Causal Forecasting

Numerous Machine Learning (ML) tasks are forecasting problems, used to make downstream decisions. Acting on ML forecasts however can changes the distribution of observations relevant to the forecast. The implication is downstream decision optimization procedures implicitly expect the ML model to generalize outside of the observational distribution. Unfortunately, this is often not the case, and […]

Read More
Predictive Timing in Speech and Music Production

The project tests musicians and non-musicians with auditory feedback perturbation paradigms in speech and music. In auditory feedback perturbation studies, speakers speak or sing a sequence into a microphone and hear their own productions via special in-ear headphones, while specific parameters in the feedback signal are altered in real-time. In the two speech conditions, parts […]

Read More
Stratégies modernes pour synthétiser des liens C-S en chimie en flux continu

Ce projet de collaboration vise à développer de nouveaux procédés à flux continu pour produire des dérivés organothiocyanates. Ces motifs sont importants en chimie organique, notamment dans les principes actifs agrochimiques et pharmaceutiques. L’objectif spécifique du projet est de développer des stratégies durables pour synthétiser des cibles contenant des SCN méta-substitués. Ces avancées scientifiques permettront […]

Read More
Evaluation of co-delivery of anti-cancer drugs using a handheld injection device

The goal of this proposal is we aim to develop an injectable drug delivery system for intratumoral delivery of a combination of an AXL-inhibitor and FDA-approved chemotherapy drug (e.g.Dox). AXL inhibitors in combination with chemotherapies that target the DNA of cancer cells is a promising approach for treating cancers. The device is integrable to a […]

Read More
Machine learning based reconstruction for laser diode photoacoustic imaging

Photoacoustic (PA) imaging has shown great potential in cancer detection, tissue characterization, and therapeutic applications. Laser diode-based PA imaging is a new development in this field that can be used for image guidance, nerve or cancer imaging, and the localization of a needle target during biopsy procedures. The PA imaging requires very accurate time synchronization […]

Read More
L’analyse automatique de la subjectivité dans les articles de presse en français du Québec

A partir d’un corpus d’articles de presse publiés au Québec en français, nous cherchons à comprendre les mécanismes linguistiques de la subjectivité dans les textes journalistiques. Notre objectif est de confronter l’efficacité des méthodes statistiques d’analyse de la subjectivité, basées sur la théorie linguistique, avec les performances inégalées mais peu transparentes des approches utilisant l’apprentissage […]

Read More
Investigating astrocyte responses in brain metastasis of HER2-positive breast cancer

Brain metastasis of breast cancer has a very poor prognosis in patients. Treatment options are limited because the blood-brain-barrier prevents drugs from entering the brain. Importantly, we are lacking information on how brain cells are supporting the growth of metastatic breast cancer cells. Using HER2-positive breast cancer cells isolated from a patient brain metastasis the […]

Read More