<--- Back to Details
First PageDocument Content
Cold fusion / Electrolysis / Pathological science / Peer review / Proceedings / Blacklight Power / Physics / Academic publishing / Fringe physics
Date: 2011-03-03 10:42:00
Cold fusion
Electrolysis
Pathological science
Peer review
Proceedings
Blacklight Power
Physics
Academic publishing
Fringe physics

Add to Reading List

Source URL: www.lenr-canr.org

Download Document from Source Website

File Size: 576,94 KB

Share Document on Facebook

Similar Documents

Mathematics / Algebra / Abstract algebra / Distribution / Number theory / Valuation / Universal property / BorelKolmogorov paradox

LIPIcs Leibniz International Proceedings in Informatics Verification and Refutation ofโˆ— Probabilistic Specifications via Games

DocID: 1xW2u - View Document

Microsoft Research / Aditya Akella / Carnegie Mellon University / Carnegie Mellon Silicon Valley / Research / Computer science / Knowledge

USENIX Association Proceedings of the 13th USENIX Symposium on Networked Systems Design and Implementation (NSDI โ€™16)

DocID: 1xVWi - View Document

Cryptocurrencies / Alternative currencies / Bitcoin / Economy / Money / Finance / Blockchains / Digital currencies / CoinJoin / BitPay / Ethereum / RootStock

Proceedings on Privacy Enhancing Technologies ; ):179โ€“199 Steven Goldfeder*, Harry Kalodner, Dillon Reisman, and Arvind Narayanan When the cookie meets the blockchain: Privacy risks of web payments via cryptocu

DocID: 1xVTb - View Document

Mathematics / Computer arithmetic / Numerical analysis / Applied mathematics / Arithmetic / Interval arithmetic / Computer-assisted proof / Computational science / Scan

SCAN 2018 Post-conference Proceedings Special Issue of Journal of Computational and Applied Mathematics Call for Papers Special Issue on the 18th International Symposium on Scientific Computing, Computer Arithmetic,

DocID: 1xVSx - View Document

Proceedings of Machine Learning Research, 4th International Conference on Predictive Applications and APIs Flexible and Scalable Deep Learning with MMLSpark Mark Hamilton Sudarshan

DocID: 1xVPK - View Document