The Physical Conditions of Gas In Ultra-Luminous Infrared Galaxies

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 […]

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Identifying and validating rational combinatorial therapies for treatment-refractory Glioblastoma

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 […]

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Deep learning-based Image Style Transfer with Generative Adversarial Network

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 […]

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Electrochemical detection of Micro-RNA

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 […]

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Evaluating Skill Transfer Between Canadian and Global South Midwifery Associations

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 […]

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Inhibition of Proteases in Host Cell Proteome of Physcomitrella patens for Stability of Recombinant Biopharmaceuticals

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 […]

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Indirect Domain Shift for Single Image Dehazing

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 […]

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Modeling and Analysis of Multi-Constituent Systems with Long Range Interaction

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 […]

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Using Machine Learning for audio analysis and synthesize

Voices.com, the largest online marketplace for voice talent, have identified Machine Learning as an enabler for future growth. In particular, incorporating Natural Language Processing (NLP) into structured queries and automatic classification of sample recordings. The first phase of this research involving NLP is in the process of being integrated into production. The second phase will […]

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Simultaneous Analysis of Endocannabinoids with Mass Spectrometry Methods in Human Serum using Point-of-care Collection Devices

Endocannabinoids are compounds produced by the human body that bind to and activate cannabinoid receptors. There are two major endocannabinoids: anandamide (AEA) and 2-arachidonoylglycerol (2-AG). Both play a role in regulating the firing of brain cells in the nervous system and attenuating immune system responses. As such, the endocannabinoid system is implicated in several clinically […]

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Influences of Stress on GnIH Expression in Bats

In 2000 a novel protein, referred to as GnIH, was discovered to inhibited the release of reproductive regulating hormones in the brain of quail. Since then, GnIH has identified in all studied vertebrate including fish, amphibians, and mammals. It has been shown to decrease hormone synthesis, be produced and act in reproductive tissues, as well […]

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Antibacterial activity of silicone porphyrins

Porphyrins and phthalocyanines are important biological molecules that, for example, control respiration of plants (chlorophyll helps convert C02 to oxygen) and heme controls the 02/C02 balance in human blood. Such compounds possess many other regulatory roles. In the presence of light some of these compounds convert oxygen into ‘reactive oxygen species’ (ROS). ROS aggressively attack […]

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