Cognitive Understanding of Reverse Engineering Assistant

The Cognitive Understanding of Reverse Engineering Assistant, or C.U.R.E. Assistant for short, is an independently developed program with the purpose of introducing students of the software reverse-engineering world to the art of disassembly. Reverse Engineering, or R.E. for short, is the process of deducing the source instructions or mechanisms of a device. This can be done to software to figure out how it works and how it can be exploited. While hackers employ this method for breaking into software systems, this is very useful for security researchers to determine security vulnerabilities in internet browsers, operating systems, apps, and more, so they can fix the problems before people using the software get exploited. Unfortunately, this is a very difficult and even expensive skill to learn, but C.U.R.E. Assistant seeks to mitigate that effort and cost. By analyzing a binary and then displaying the results in a user-friendly graphical interface, C.U.R.E. Assistant is able to point out areas of interest to those who may not know what to look for or where to start. In addition, it is designed with added functionality to ease users into learning the intricate, but popular, reverse-engineering tool, Radare2. Inspired by the massive learning curve and scant available training for software dissection, C.U.R.E. Assistant aims to both streamline the process for experienced engineers as well as educate those new to the field in a friendly and informative manner

Serge Tousignant : jeux d'espaces, jeux de regards : le catalogue

L'exposition qui fait l'objet de ce catalogue a malheureusement été annulée à cause de la pandémie, mais elle aurait dû se tenir au Carrefour des arts et des sciences de l’Université de Montréal du 8 avril au 12 juin 2020.Catalogue d'exposition préparé à l'hiver 2020 dans le cadre du cours HAR 6080 / MSL 6509 : Muséologie et histoire de l'art, donné par la professeure Christine Bernier.Catalogue préparé sous la direction de Christine Bernie

Low-Frequency and Rare-Coding Variation Contributes to Multiple Sclerosis Risk

Multiple sclerosis is a complex neurological disease, with 3c20% of risk heritability attributable to common genetic variants, including >230 identified by genome-wide association studies. Multiple strands of evidence suggest that much of the remaining heritability is also due to additive effects of common variants rather than epistasis between these variants or mutations exclusive to individual families. Here, we show in 68,379 cases and controls that up to 5% of this heritability is explained by low-frequency variation in gene coding sequence. We identify four novel genes driving MS risk independently of common-variant signals, highlighting key pathogenic roles for regulatory T cell homeostasis and regulation, IFN\u3b3 biology, and NF\u3baB signaling. As low-frequency variants do not show substantial linkage disequilibrium with other variants, and as coding variants are more interpretable and experimentally tractable than non-coding variation, our discoveries constitute a rich resource for dissecting the pathobiology of MS. In a large multi-cohort study, unexplained heritability for multiple sclerosis is detected in low-frequency coding variants that are missed by GWAS analyses, further underscoring the role of immune genes in MS pathology

Conduite et alimentation des jeunes bovins laitiers /

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