A5006871445- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
- Human Pose and Action Recognition
- Labor Movements and Unions
- Genetic Neurodegenerative Diseases
- Metallurgy and Cultural Artifacts
- Multimodal Machine Learning Applications
- Neuroinflammation and Neurodegeneration Mechanisms
- Participatory Visual Research Methods
- American Environmental and Regional History
- Historical Economic and Social Studies
- Lanthanide and Transition Metal Complexes
- Domain Adaptation and Few-Shot Learning
- Neuroscience and Neural Engineering
- Photoacoustic and Ultrasonic Imaging
- Healthcare professionals’ stress and burnout
- Transcranial Magnetic Stimulation Studies
- Pain Mechanisms and Treatments
- Neurogenesis and neuroplasticity mechanisms
- Optical Imaging and Spectroscopy Techniques
- Generative Adversarial Networks and Image Synthesis
- Metallurgical Processes and Thermodynamics
- Non-Invasive Vital Sign Monitoring
- Global Security and Public Health
- Long-Term Effects of COVID-19
University of Bristol
2024
Université Laval
2022-2024
Objective Parkinson's and Huntington's diseases are characterized by progressive neuronal loss. Previous studies using human postmortem tissues have shown the impact of neurodegenerative disorders on adult neurogenesis. The extent to which neural stem cells activated in subventricular zone whether therapeutic treatments such as deep brain stimulation promote neurogenesis remains unclear. goal present study is assess activation patients with who were treated or not stimulation. Methods...
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity spanning hundreds scenarios (household, outdoor, workplace, leisure, etc.) captured by 931 unique camera wearers from 74 worldwide locations 9 different countries. The approach to collection is designed uphold rigorous privacy ethics standards, with consenting participants robust de-identification procedures where relevant. Ego4D dramatically expands the volume...
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity spanning hundreds scenarios (household, outdoor, workplace, leisure, etc.) captured by 931 unique camera wearers from 74 worldwide locations 9 different countries. The approach to collection is designed uphold rigorous privacy ethics standards with consenting participants robust de-identification procedures where relevant. Ego4D dramatically expands the volume...
While the applicability and popularity of theta burst stimulation (TBS) paradigms remain, current knowledge their neurobiological effects is still limited, especially with respect to impact on glial cells neuroinflammatory processes. We used a multimodal imaging approach assess clinical course TBS markers for microglia activation tissue injury as an indirect assessment Healthy non-human primates received continuous (cTBS), intermittent (iTBS), or sham over motor cortex at 90% resting...
Diffuse reflectance spectroscopy (DRS) is a promising technique for non-invasive monitoring of tissue oxygen saturation (StO 2 ). However, the interpretation DRS data can be complicated by presence confounding factors such as volume fraction blood, scattering, and lipid content which both absorb scatter. Principal component analysis (PCA) multivariate statistical method that help overcome these challenges extracting relevant information from complex datasets providing new dimensions used to...
Given a gallery of uncaptioned video sequences, this paper considers the task retrieving videos based on their relevance to an unseen text query. To compensate for lack annotations, we rely instead related composed video-caption pairs, termed source gallery, albeit with domain gap between its and those in target gallery. We thus introduce problem Unsupervised Domain Adaptation Cross-modal Video Retrieval, along new benchmark fine-grained actions. propose novel iterative alignment method by...
Since its introduction in 2018, EPIC-KITCHENS has attracted attention as the largest egocentric video benchmark, offering a unique viewpoint on people's interaction with objects, their attention, and even intention. In this paper, we detail how large-scale dataset was captured by 32 participants native kitchen environments, densely annotated actions object interactions. Our videos depict nonscripted daily activities, recording is started every time participant entered kitchen. Recording took...
Abstract Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective surgical treatment for Parkinson’s disease (PD), alleviating motor symptoms and restoring patients’ quality life. Research into long-term effects DBS on human lacking. This study aims to investigate neuroanatomical neurochemical alterations induced by chronic stimulations STN, correlate these changes with clinical outcomes estimated electrical current delivered in parenchyma. Brains PD patients who had...
<sec> <title>BACKGROUND</title> The consequences of burnout for tertiary students across the health professions are well documented and include higher rates mental challenges, suicide, alcoholism, relationship problems. As a key stakeholder in University-offered wellbeing services support, it is desirable to hold central role development such resources, particularly given effectiveness relies on student uptake. Hence there compelling need develop student-driven approach promote setting at...