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Putting the Semantics into Semantic Versioning [article]

Patrick Lam and Jens Dietrich and David J. Pearce
2020 arXiv   pre-print
Many modern software development ecosystems now come with rich sets of publicly-available components contributed by the community.  ...  Upgrading too late leaves downstream vulnerable to security issues and missing out on useful improvements; upgrading too early results in excess work.  ...  We thank Chintan Patel for developing tools to identify some of the breaking changes we used as examples, and Laurian Angelescu, Max Dietrich, Leo Meyerovich, and Lucas Wojciechowski for valuable insights  ... 
arXiv:2008.07069v1 fatcat:khw5phyplrdcrpi24xyz644nt4

Security Review of Ethereum Beacon Clients [article]

Jean-Philippe Aumasson, Denis Kolegov, Evangelia Stathopoulou
2021 arXiv   pre-print
We covered the four main beacon clients, namely Lighthouse (Rust), Nimbus (Nim), Prysm (Go), and Teku (Java).  ...  Our results suggest that despite intense scrutiny by security auditors and independent researchers, the complexity and constant evolution of a platform like Ethereum requires regular expert review and  ...  Acknowledgements We would like to thank the Ethereum Foundation for supporting this project, and L uc as Meier for his feedback.  ... 
arXiv:2109.11677v1 fatcat:pvcm7ekphbct3pjwadlldx666m

State Of The Art Analysis Report

Miguel Ángel Esbrí
2014 Zenodo  
projects, as well as initia-tives and policies and data sources repositories (specially at local, national and European level) which are relevant for defining and implementing the different aspects of  ...  This document is the "State of the art analysis report" deliverable and its main objective is to collect information about standards, existing technologies, architectures and systems developed in other  ...  availability and fault tolerance through queue mirroring.  Multi-protocol -support for AMQP, STOMP, MQTT and HTTP  Clients for multiple languages -Java, Ruby, Python, .NET, C/C++, Erlang, Node.js, Perl  ... 
doi:10.5281/zenodo.200497 fatcat:otpyumabc5fbpgqmixtgmt7hli

Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases [chapter]

Rajesh Singh, Anita Gehlot, Dharam Buddhi
2022 Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases  
This paper forms the basis of understanding the difficulty of the domain and the amount of efficiency achieved by the various methods recently.  ...  Chronic Diseases are the most dangerous diseases for humans and have significant effects on human life. Chronic Diseases like heart disease & Diabetes are the main causes of death.  ...  option for power generation in the commercial space such that the penetration of this technology into market would improve the energy efficiency and also quality of the environment by decarbonization.  ... 
doi:10.13052/rp-9788770227667 fatcat:da47mjbbyzfwnbpde7rgbrlppe