McGill University

About: McGill University is a education organization based out in Montreal, Quebec, Canada. It is known for research contribution in the topics: Population & Poison control. The organization has 72688 authors who have published 162565 publications receiving 6966523 citations. The organization is also known as: Royal institution of advanced learning & University of McGill College.

Phenotypic Evolution — A Reaction Norm Perspective

Abstract: Every biologist interested in evolutionary biology should read this book. In a highly readable manner Schlichting and Pigliucci outline the present status of thinking on the importance of reaction norms in phenotypic evolution. The book has one central purpose, to propose and defend the proposition that to understand phenotypic evolution we must take into account phenotypic plasticity, not simply as an interesting peripheral phenomenon but as an integral part of the evolutionary process. Although I am already strongly biassed in this direction, I think that the authors produce an extremely strong case which should encourage more research in this fast- developing area. One of the great strengths of this book is that it presents an historical perspective, an assessment of the present state of thinking, and, the authors' own opinions on where future research should be directed.

Gastrointestinal Quality of Life Index: Development, validation and application of a new instrument

Abstract: At present, an instrument for measuring the quality of life, specifically for patients with gastrointestinal disease, is not available. A new instrument for gastrointestinal disorders that is system-specific has been developed in three phases. In the first phase, questions were collated and then tested on 70 patients with gastrointestinal diseases and those that worked well were retained. In the second phase, the questions were modified and tested on 204 patients and the results verified by international experts. The instrument was also validated against other generic measures of quality of life. During the third phase, the instrument was validated with 168 normal individuals. Reproducibility was tested on 25 patients with stable gastrointestinal disease and responsiveness was tested on 194 patients undergoing laparoscopic cholecystectomy. The result is a bilingual (German and English) questionnaire containing 36 questions each with five response categories. The responses to questions are summed to give a numerical score. It is concluded that the Gastrointestinal Quality of Life Index (GIQLI) is ready to be used in clinical practice and research.

Deep Bayesian active learning with image data

Abstract: Even though active learning forms an important pillar of machine learning, deep learning tools are not prevalent within it. Deep learning poses several difficulties when used in an active learning setting. First, active learning (AL) methods generally rely on being able to learn and update models from small amounts of data. Recent advances in deep learning, on the other hand, are notorious for their dependence on large amounts of data. Second, many AL acquisition functions rely on model uncertainty, yet deep learning methods rarely represent such model uncertainty. In this paper we combine recent advances in Bayesian deep learning into the active learning framework in a practical way. We develop an active learning framework for high dimensional data, a task which has been extremely challenging so far, with very sparse existing literature. Taking advantage of specialised models such as Bayesian convolutional neural networks, we demonstrate our active learning techniques with image data, obtaining a significant improvement on existing active learning approaches. We demonstrate this on both the MNIST dataset, as well as for skin cancer diagnosis from lesion images (ISIC2016 task).

Targeting potential drivers of COVID-19: Neutrophil extracellular traps.

Abstract: Coronavirus disease 2019 (COVID-19) is a novel, viral-induced respiratory disease that in ∼10-15% of patients progresses to acute respiratory distress syndrome (ARDS) triggered by a cytokine storm. In this Perspective, autopsy results and literature are presented supporting the hypothesis that a little known yet powerful function of neutrophils-the ability to form neutrophil extracellular traps (NETs)-may contribute to organ damage and mortality in COVID-19. We show lung infiltration of neutrophils in an autopsy specimen from a patient who succumbed to COVID-19. We discuss prior reports linking aberrant NET formation to pulmonary diseases, thrombosis, mucous secretions in the airways, and cytokine production. If our hypothesis is correct, targeting NETs directly and/or indirectly with existing drugs may reduce the clinical severity of COVID-19.

Surface-Active Agents from Two Bacillus Species

Abstract: Two Bacillus species were studied which produced bioemulsifiers; however, they were distinctly different compounds. Bacillus sp. strain IAF 343 produced unusually high yields of extracellular biosurfactant when grown on a medium containing only water-soluble substrates. The yield of 1 g/liter was appreciably better than those of most of the biosurfactants reported previously. This neutral lipid product, unlike most lipid biosurfactants, had significant emulsifying properties. It did not appreciably lower the surface tension of water. On the same medium, Bacillus cereus IAF 346 produced a more conventional polysaccharide bioemulsifier, but it also produced a monoglyceride biosurfactant. The bioemulsifier contained substantial amounts of glucosamine and originated as part of the capsule layer. The monoglyceride lowered the surface tension of water to 28 mN/m. It formed a strong association with the polysaccharide, and it was necessary to use ultrafiltration to effect complete separation. The removal of the monoglyceride caused the polysaccharide to precipitate. It is suggested that earlier reports of biopolymers which both stabilized emulsions and lowered surface tension were actually similar aggregates of lipid and bioemulsifier.