Ryerson University

About: Ryerson University is a education organization based out in Toronto, Ontario, Canada. It is known for research contribution in the topics: Computer science & Population. The organization has 7671 authors who have published 20164 publications receiving 394976 citations. The organization is also known as: Ryerson Polytechnical Institute & Ryerson Institute of Technology.

Toward Early-Warning Detection of Gravitational Waves from Compact Binary Coalescence

Abstract: Rapid detection of compact binary coalescence (CBC) with a network of advanced gravitational-wave detectors will offer a unique opportunity for multi-messenger astronomy. Prompt detection alerts for the astronomical community might make it possible to observe the onset of electromagnetic emission from (CBC). We demonstrate a computationally practical filtering strategy that could produce early-warning triggers before gravitational radiation from the final merger has arrived at the detectors.

The international society for traumatic stress studies new guidelines for the prevention and treatment of Posttraumatic Stress Disorder: methodology and development process

Abstract: Over the last two decades, treatment guidelines have become major aids in the delivery of evidence-based care and improvement of clinical outcomes. The International Society for Traumatic Stress Studies (ISTSS) produced the first guidelines for the prevention and treatment of posttraumatic stress disorder (PTSD) in 2000 and published its latest recommendations, along with position papers on complex PTSD (CPTSD), in November 2018. A rigorous methodology was developed and followed; scoping questions were posed, systematic reviews were undertaken, and 361 randomized controlled trials were included according to the a priori agreed inclusion criteria. In total, 208 meta-analyses were conducted and used to generate 125 recommendations (101 for adults and 24 for children and adolescents) for specific prevention and treatment interventions, using an agreed definition of clinical importance and recommendation setting algorithm. There were eight strong, eight standard, five low effect, 26 emerging evidence, and 78 insufficient evidence to recommend recommendations. The inclusion of separate scoping questions on treatments for complex presentations of PTSD was considered but decided against due to definitional issues and the virtual absence of studies specifically designed to clearly answer possible scoping questions in this area. Narrative reviews were undertaken and position papers prepared (one for adults and one for children and adolescents) to consider the current issues around CPTSD and make recommendations to facilitate further research. This paper describes the methodology and results of the ISTSS Guideline process and considers the interpretation and implementation of the recommendations.

Defending Against Collaborative Attacks by Malicious Nodes in MANETs: A Cooperative Bait Detection Approach

Abstract: In mobile ad hoc networks (MANETs), a primary requirement for the establishment of communication among nodes is that nodes should cooperate with each other. In the presence of malevolent nodes, this requirement may lead to serious security concerns; for instance, such nodes may disrupt the routing process. In this context, preventing or detecting malicious nodes launching grayhole or collaborative blackhole attacks is a challenge. This paper attempts to resolve this issue by designing a dynamic source routing (DSR)-based routing mechanism, which is referred to as the cooperative bait detection scheme (CBDS), that integrates the advantages of both proactive and reactive defense architectures. Our CBDS method implements a reverse tracing technique to help in achieving the stated goal. Simulation results are provided, showing that in the presence of malicious-node attacks, the CBDS outperforms the DSR, 2ACK, and best-effort fault-tolerant routing (BFTR) protocols (chosen as benchmarks) in terms of packet delivery ratio and routing overhead (chosen as performance metrics).