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Institution

Université de Montréal

EducationMontreal, Quebec, Canada
About: Université de Montréal is a education organization based out in Montreal, Quebec, Canada. It is known for research contribution in the topics: Population & Context (language use). The organization has 45641 authors who have published 100476 publications receiving 4004007 citations. The organization is also known as: University of Montreal & UdeM.


Papers
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Journal ArticleDOI
TL;DR: The 2017 HF guidelines provide updated guidance on the diagnosis and management that should aid in day-to-day decisions for caring for patients with HF, with attention to strategies and treatments to prevent HF, to the organization of HF care, comorbidity management, as well as practical issues around the timing of referral and follow-up care.

465 citations

Journal ArticleDOI
B. P. Abbott1, Richard J. Abbott1, T. D. Abbott2, Sheelu Abraham3  +1215 moreInstitutions (134)
TL;DR: In this paper, the mass, spin, and redshift distributions of binary black hole (BBH) mergers with LIGO and Advanced Virgo observations were analyzed using phenomenological population models.
Abstract: We present results on the mass, spin, and redshift distributions with phenomenological population models using the 10 binary black hole (BBH) mergers detected in the first and second observing runs completed by Advanced LIGO and Advanced Virgo. We constrain properties of the BBH mass spectrum using models with a range of parameterizations of the BBH mass and spin distributions. We find that the mass distribution of the more massive BH in such binaries is well approximated by models with no more than 1% of BHs more massive than 45 M and a power-law index of (90% credibility). We also show that BBHs are unlikely to be composed of BHs with large spins aligned to the orbital angular momentum. Modeling the evolution of the BBH merger rate with redshift, we show that it is flat or increasing with redshift with 93% probability. Marginalizing over uncertainties in the BBH population, we find robust estimates of the BBH merger rate density of R= (90% credibility). As the BBH catalog grows in future observing runs, we expect that uncertainties in the population model parameters will shrink, potentially providing insights into the formation of BHs via supernovae, binary interactions of massive stars, stellar cluster dynamics, and the formation history of BHs across cosmic time.

464 citations

Journal ArticleDOI
TL;DR: This article found that the return of Canadian energy stock is positively associated with the Canadian stock market return, with appreciations of crude oil and natural gas prices, with growth in internal cash flows and proven reserves, and negatively with interest rates.

464 citations

Journal ArticleDOI
TL;DR: It is shown that knock-in mice expressing a nonphosphorylatable form of eIF4E are resistant to tumorigenesis in a prostate cancer model, and the possibility that chemical compounds that prevent the phosphorylation of eif4E could act as anticancer drugs is raised.
Abstract: Translational regulation plays a critical role in the control of cell growth and proliferation A key player in translational control is eIF4E, the mRNA 5′ cap-binding protein Aberrant expression of eIF4E promotes tumorigenesis and has been implicated in cancer development and progression The activity of eIF4E is dysregulated in cancer Regulation of eIF4E is partly achieved through phosphorylation However, the physiological significance of eIF4E phosphorylation in mammals is not clear Here, we show that knock-in mice expressing a nonphosphorylatable form of eIF4E are resistant to tumorigenesis in a prostate cancer model By using a genome-wide analysis of translated mRNAs, we show that the phosphorylation of eIF4E is required for translational up-regulation of several proteins implicated in tumorigenesis Accordingly, increased phospho-eIF4E levels correlate with disease progression in patients with prostate cancer Our findings establish eIF4E phosphorylation as a critical event in tumorigenesis These findings raise the possibility that chemical compounds that prevent the phosphorylation of eIF4E could act as anticancer drugs

464 citations

Journal ArticleDOI
TL;DR: A survey of machine learning and combinatorial optimization problems can be found in this paper, where the main point is to see generic optimization problems as data points and inquire what is the relevant distribution of problems to use for learning on a given task.

464 citations


Authors

Showing all 45957 results

NameH-indexPapersCitations
Yoshua Bengio2021033420313
Alan C. Evans183866134642
Richard H. Friend1691182140032
Anders Björklund16576984268
Charles N. Serhan15872884810
Fernando Rivadeneira14662886582
C. Dallapiccola1361717101947
Michael J. Meaney13660481128
Claude Leroy135117088604
Georges Azuelos134129490690
Phillip Gutierrez133139196205
Danny Miller13351271238
Henry T. Lynch13392586270
Stanley Nattel13277865700
Lucie Gauthier13267964794
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023118
2022485
20216,077
20205,753
20195,212
20184,696