The human immune system is composed of a distributed network of cells circulating throughout the body, which must dynamically form physical associations and communicate using interactions between their cell-surface proteomes1. Despite their therapeutic potential2, our map of these surface interactions remains incomplete3,4. Here, using a high-throughput surface receptor screening method, we systematically mapped the direct protein interactions across a recombinant library that encompasses most of the surface proteins that are detectable on human leukocytes. We independently validated and determined the biophysical parameters of each novel interaction, resulting in a high-confidence and quantitative view of the receptor wiring that connects human immune cells. By integrating our interactome with expression data, we identified trends in the dynamics of immune interactions and constructed a reductionist mathematical model that predicts cellular connectivity from basic principles. We also developed an interactive multi-tissue single-cell atlas that infers immune interactions throughout the body, revealing potential functional contexts for new interactions and hubs in multicellular networks. Finally, we combined targeted protein stimulation of human leukocytes with multiplex high-content microscopy to link our receptor interactions to functional roles, in terms of both modulating immune responses and maintaining normal patterns of intercellular associations. Together, our work provides a systematic perspective on the intercellular wiring of the human immune system that extends from systems-level principles of immune cell connectivity down to mechanistic characterization of individual receptors, which could offer opportunities for therapeutic intervention. Systematic measurements of the interactions between proteins found on the surfaces of human leukocytes provides a global view of the way that immune cells are dynamically connected by receptors.

 

Cryptocurrency trading: a comprehensive survey | Financial Innovation | Full Text

In recent years, the tendency of the number of financial institutions to include cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital assets to be included by asset managers. Although they have some commonalities with more traditional assets, they have their own separate nature and their behaviour as an asset is still in the process of being understood. It is therefore important to summarise existing research papers and results on cryptocurrency trading, including available trading platforms, trading signals, trading strategy research and risk management. This paper provides a comprehensive survey of cryptocurrency trading research, by covering 146 research papers on various aspects of cryptocurrency trading (e.g., cryptocurrency trading systems, bubble and extreme condition, prediction of volatility and return, crypto-assets portfolio construction and crypto-assets, technical trading and others). This paper also analyses datasets, research trends and distribution among research objects (contents/properties) and technologies, concluding with some promising opportunities that remain open in cryptocurrency trading.

Source: Cryptocurrency trading: a comprehensive survey | Financial Innovation | Full Text

 

Daily Notes 3/01/19

[1] https://cloud.google.com/ai-platform/data-labeling/docs/

[2] https://course.fast.ai/

[3] https://github.com/Mersive-Technologies/yolov3/blob/master/f…

Stocks Analysis

https://blog.quantinsti.com/stock-market-data-analysis-python/

https://stock-analysis-engine.readthedocs.io/en/latest/charts.html

https://www.datacamp.com/community/tutorials/finance-python-trading

https://towardsdatascience.com/in-12-minutes-stocks-analysis-with-pandas-and-scikit-learn-a8d8a7b50ee7

 

Daily Report 31/12/19

https://ricochet.im/
https://tox.chat/
https://conversations.im/omemo/
https://github.com/maqp/tfc
https://katzenpost.mixnetworks.org/
https://github.com/privacylab/talek
https://github.com/SabaEskandarian/Express
https://cwtch.im/
https://github.com/SabaEskandarian/ObliDB

Wikipedia
https://en.wikipedia.org/wiki/Oblivious_RAM
https://en.wikipedia.org/wiki/Software_Guard_Extensions
https://en.wikipedia.org/wiki/Web_of_trust
https://en.wikipedia.org/wiki/Trust_on_first_use

 

Qt5 Cadaques — Qt5 Cadaques Book vmaster

Content

Source: Qt5 Cadaques — Qt5 Cadaques Book vmaster