Research on Layman Education Thoughts of Master Taixu

This project will conduct a systematic study on Master Taixu’s thoughts on layman education. Master Taixu was a pioneer in the reform of modern Buddhism and had a profound impact on the development of modern Buddhism. As the vast majority of Buddhist belief groups, lay Buddhists are the main participants in family and social activities, […]

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The Ways of Absorption and Interpretations of Prajna and Nagarjuna’s Philosophy in Tian Tai Buddhism

Prajna and Nagarjuna’s Philosophy, whose main character is to dispel, eliminate, and integrate, has gained a new meaning structure after Tiantai Zhiyi’s interpretation. Judging from the appearance of the teachings, Prajna brings together the general teaching and other teachings, while the right teaching is the perfect teaching. In terms of insight wisdom, the wisdom of […]

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Seamless Day Programs: Opportunities, challenges, and Promising Practices

As part of its 10-year ChildCare plan, the Government of BC recently funded “Seamless Day” pilot programs in various communities across the province. These programs involve service sharing between schools and child care providers, with the intention of providing continuous care, support, and learning for young children throughout the school day, as well as before […]

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Smooth Guide Hair Interpolation for Procedural Grooming

Most recent animated films such as Peter Rabbit 2 or DC League of Super-Pets come to life with many hairy and furry characters. In this project we will build on recent advances in computer graphics to develop better tools for grooming hair and fur. We aim to improve the experience of artists in the animation […]

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Increasing Grid Resilience using Game-theoretic Demand Side Management

Demand Side Management is a scheme that manages production, consumption and storage of energy of an aggregation of households in a neighborhood. The automated algorithms communicate between households to ensure that grid constraints are respected and households use energy optimally to maximize the use of green energy and save money. A promising tool for these […]

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Towards Fully Automated Tumor and Organ-at-Risk Detection and Segmentation from PSMA PET and SPECT Scans of Prostate Cancer Patients

Prostate cancer is the third deadliest cancer in men and early detection is crucial. PSMA is a protein that is highly present in prostate cells, making it a promising target for imaging and treatment. Total metabolic tumor volume (TMTV) is a measure of tumors’ characteristics, but it is currently not measured in clinical settings due […]

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A putative chloroplast Ustilago maydis effector causes morphological changes in Arabidopsis thaliana

Plants have several ways of defending themselves from plant pathogens including physical structures such as thick cuticles and defense hormones such as salicylic acid. The latter induces a cascade of plant defense responses that can ultimately lead to resistance. Similarly, to successfully invade their host, plant pathogens secrete a cocktail of proteins called effectors that […]

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Molten metal membranes for H2 separation

Reducing green house gas emissions (GHG) from the energy and industrial sectors is crucial to meet this goal and the hydrogen economy will play a big role in accomplishing a greener and more sustainable future. Nearly 70 million tons of hydrogen are produced annually via conventional steam reforming of natural gas today. This results in […]

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High-threshold photonic quantum computing

Today, quantum computers of any architecture still operate in the noisy intermediate-scale quantum (NISQ) regime, with systems composed of tens to hundreds of noisy qubits that are not protected from errors. To meaningfully solve challenging problems from industries using quantum computers, we need to make a system that is large enough in scale and robust […]

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Image processing and machine learning for equine image analysis

Inspired by the success of deep learning approaches in human biomedical applications, applying deep learning in veterinary, specifically equine, diagnostic imaging is attracting increasing interest. The objective of this research project is to achieve automatic deep-learning based equine image analysis and assessment, including 1) automatic assessment of upper respiratory tract of racehorses from endoscopy videos; […]

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