Using my oxide nanostructure-metal nanoparticle structures synthetic skill and ultraviolet-light assist metal nanoparticle loading technology, will synthesize metal oxide nanostructure/metal nanoparticle heterojunction for achieving reducing of the overpotential and effective reduction of carbon dioxide. The host supervisor is excellent in techniques for increasing the selectivity of byproducts of carbon dioxide reduction, including combinations of copper […]

There is more to Artificial Intelligence than the algorithm. Intelligent systems must also consider how data is acquired, trade-offs between algorithmic approaches, and what action is taken based upon algorithmic decisions. Lunar Medical, Inc. performs research and development in the area of intelligent and operational space medicine. This internship will investigate the full range of […]

Digital Medical Experts Inc. (DME) is a Canadian start-up company in the business of developing cloud-based point-of-care monitoring systems for the management of psychiatric illnesses. DME has developed algorithms to diagnose and predict optimal treatment for major depression disorder and schizophrenia, and has been allowed patents describing its technology in Canada, the USA, and Australia. […]

The outbreak of the Anti-Japanese War undoubtedly made Master Taixu’s Buddhist Movement Renovation a mirage. The Japanese Buddhists have turned to believe that the cruelty of the war lies in China’s tenacious resistance. The staged achievements of the “East Asian Buddhist Conference” have also been declared bankrupt. The purpose of this lesson is to use […]

The single most important factor in determining a star’s brightness, evolution and ultimate fate is its mass. For this reason, the determination of many intrinsic galaxy properties – including star formation rate – must assume an initial distribution of birth masses for stars. If we are to develop a general theory for star formation in […]

Glioblastoma (GBM), the most common and deadly form of primary brain cancer in adults. After diagnosis, GBM patients undergo standard therapy, including surgery, chemotherapy and radiation therapy. Unfortunately, disease relapse is inevitable and patients face a median survival of less than 15 months. A small population of tumor cells, known as brain tumor initiating cells […]

The project aims to develop the deep learning-based algorithm that translate the image style of specific object to the reference style. Firstly, the proposed research focuses on identifying the accurate region in image for style transfer, and then translating the image style in that region. Current techniques about image style transfer are struggling to focus […]

MicroRNAs (miRNA) can be used as biomarkers for different types of cancer diagnostics. Therefore, obtaining point-of-care (POC) device for miRNA detection is of high value. Conventional miRNA sensing strategy usually involves reverse transcription PCR or target recycling strategy and hence those techniques are not suitable for POC devices. In the proposed work, electrochemical sensing strategy […]

The Canadian Association of Midwives (CAM) implements global programs in Africa and the Caribbean, building midwives’ technical skills and strengthening the capacity of midwifery professional associations in our partner countries. CAM seeks two researchers first to assess current best practices in skills and knowledge transfer activities (particularly the transfer of healthcare skills) and civil society […]

Host cell proteins are inevitable contaminants of biopharmaceuticals. Here, we performed detailed analyses of the host cell proteome of moss (Physcomitrella patens) bioreactor supernatants using mass spectrometry and subsequent bioinformatics analysis. Distinguishing between the apparent secretome and intracellular contaminants, a complex extracellular proteolytic network including subtilisin-like proteases, metallo-proteases, and aspartic proteases was identified. Knockout of […]

Deep convolutional neural networks (CNNs) have been tremendously successful in many high-level computer vision tasks, e.g., image recognition and object detection. Although recent works have shown that it is also possible to learn an end-to-end CNN model for low-level vision tasks, e.g., image dehazing, the resulting performance is still not completely satisfactory. For high-level vision […]

Energy-driven pattern formation induced by competing short and long range interaction in multi-species systems is pervasive in the natural world. The phenomenon of self-organization during pattern formation is quite common, and encountered in a variety of fields, such as biological systems like animal coats and skin pigmentation, and physics. As an example, we cite the […]