Multiscale Simulation of Cortical and Hippocampal Dynamics Using Region-Specific Brain Network Models

Recent advances in computational neuroscience underscore the value of biologically accurate models integrating multimodal neuroimaging to simulate brain activity realistically. Deep brain areas like the hippocampus, crucial for memory and cognition, pose challenges for non-invasive study due to their complex dynamics. The Region-Specific Brain Network Model (RSBNM) addresses this by combining Neural Mass Models, high-resolution […]

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Rewiring Time in Brain Models: Anatomically-Grounded Delay Distributions for Multiscale Neural Mass Modeling

This international project brings together top neuroscience teams from McGill University (Canada) and Aix-Marseille University (France) to develop the next generation of realistic brain models. The goal is to improve how computer simulations represent the timing of signals traveling through the brain, which depends on factors like axon length, thickness, and myelination. Current models often […]

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Resonateur à ondes acoustiques de surface transversal (SH-SAW) sans réflecteurs pour la caractérisation biologiques

La technologie de biodétection est essentielle pour les diagnostics médicaux, la surveillance de l’environnement et la recherche biologique fondamentale. Alors que la résonance plasmonique de surface (SPR) offre une détection sans étiquette sensible aux changements d’indice de réfraction et que les capteurs à ondes acoustiques de surface (SAW) excellent dans les milieux liquides et sondent […]

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3D-Printed Thermoelectric Metamaterials

Thermoelectric materials present a promising solution for sustainable energy generation, offering the potential to complement existing energy systems in everyday applications. However, the performance of conventional thermoelectric materials is largely constrained by the intrinsic properties of their bulk constituents. To overcome these limitations, reducing material weight while enhancing efficiency, adaptability, and multifunctionality is essential. One […]

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Automated Ichnofabric Analysis with Deep Learning for Marine Core Research

This project proposes a completely novel workflow to automate the detection and quantification of bioturbation (i.e., biological sediment mixing by infaunal organisms) in deep-ocean sediment cores using the proven capabilities of neural networks in complex image interpretation. The new technique will enable precise, objective, and efficient quantification and identification of bioturbation types caused by infaunal […]

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Scalable Quantum-Enhanced Generative Models for Drug Discovery: Extending QCBM with NQS and CUDA Quantum for Multi-target Inhibitor Design

This project proposes a scalable quantum-enhanced generative model for drug discovery, targeting the design of KRAS inhibitors through the integration of Neural Quantum States (NQS), Quantum Circuit Born Machines (QCBMs), and CUDA Quantum acceleration. By replacing traditional quantum circuits with adaptive NQS representations and extending QCBM capacity to 32 qubits, the framework enables more expressive […]

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Toward Accurate Bond Breaking: Revising Natural Orbital Functionals in RDMFT

This project aims to improve computational methods in quantum chemistry by developing better ways to calculate molecular properties. The research focuses on enhancing existing mathematical tools (called functionals) to make them more accurate, especially for molecular fragmentation processes. The project will create user-friendly software that will be freely available to scientists worldwide. For the participating […]

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Examining the construction of masculinity in K-Dramas within a global context

This research project analyzes how South Korean TV dramas, particularly King the Land (2023), portray masculinity and why these representations appeal to Western audiences like those in Canada and Brazil. By studying cinematic techniques and cultural themes, the project aims to understand how these dramas shape global perceptions of South Korean men and culture. The […]

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Host-pathogen interaction between a three-dimensional tissue model with a binary cell system and dual species biofilm Under Normoglycemic and Diabetic Conditions

Apical periodontitis is a disease caused by the persistence of microorganisms and their virulence factors in the root canal system. This infection leads to inflammation of the soft tissues and changes in the periapical bone structure. Bacteria such as Fusobacterium nucleatum and Parvimonas micra form biofilms that are resistant to conventional cleaning, making treatment more […]

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Superconducting quantum analog simulator for fundamental physics

This project will explore the use of quantum technologies to simulate physical systems relevant to particle physics, with a focus on neutrino behavior. The goal is to build an analog quantum simulator: a special device whose components are designed to naturally follow the dynamics of the system being studied. The platform will be superconducting circuits, […]

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L’utilisation des philosophes anciens dans le Theophrastus Redivivus

Le Theophrastus Redivivus est un texte anonyme rédigé à Paris au 17ème siècle et est le premier texte ouvertement athée de l’ère chrétienne en Occident. Ce texte propose plusieurs idées qui annoncent la Modernité des Lumières, quoiqu’il soit près d’un siècle en avance. Le texte est abondamment bâti sur la littérature ancienne (sont tirés de […]

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