- Jan 2021
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beyondexclamation.com beyondexclamation.com
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This is possible when all records, documents, contracts, and digital identity are verifiable as the one-and-only master copy.
So combine the verifiability of all:
- Records
- Documents
- Agreements and
- Transactions that can be made between individuals as a new normal and you can see how 4th Density realities can shape us.
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In a world free of bad-actors, our societies become safer, more civil, and more trusted. Even though the heart of a person may be evil, that personal evil cannot be acted-out with data that is behind a database that leverages Blockchain methodologies.
This makes me wonder...could this be a characteristic of 4th density? A type of openness where ALL "bad acting" is exposed to all and thereby diminished? Talk about the power of positive peer pressure!
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- Oct 2020
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swopec.hhs.se swopec.hhs.se
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Florida, R & Mellander, C. (2020) The Geography of COVID-19 in Sweden. Working Paper Series in Economics and Institutions of Innovation, Royal Institute of Technology.
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covid-19.iza.org covid-19.iza.org
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COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 11, 2020, from https://covid-19.iza.org/publications/dp13757/
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- Sep 2020
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cep.lse.ac.uk cep.lse.ac.uk
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Carozzi, F., Provenzano, S., Roth, S. (2020). Urban Density and Covid-19. Retrieved from http://cep.lse.ac.uk/pubs/download/dp1711.pdf
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- Aug 2020
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Carl, N. (2020). An Analysis of COVID-19 Mortality at the Local Authority Level in England. https://doi.org/10.31235/osf.io/dmc2v
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Sharkey, P., & Wood, G. (2020). The Causal Effect of Social Distancing on the Spread of SARS-CoV-2 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/hzj7a
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www.nber.org www.nber.org
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Bisin, A., & Moro, A. (2020). Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses (Working Paper No. 27590; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27590
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www.nber.org www.nber.org
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Kuchler, T., Russel, D., & Stroebel, J. (2020). The Geographic Spread of COVID-19 Correlates with Structure of Social Networks as Measured by Facebook (Working Paper No. 26990; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26990
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Desmet, K., & Wacziarg, R. (2020). Understanding Spatial Variation in COVID-19 across the United States (Working Paper No. 27329; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27329
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covid-19.iza.org covid-19.iza.org
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Partial Lockdown and the Spread of COVID-19: Lessons from the Italian Case. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13375/
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covid-19.iza.org covid-19.iza.org
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Urban Density and COVID-19. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 30, 2020, from https://covid-19.iza.org/publications/dp13440/
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Akbarpour, M., Cook, C., Marzuoli, A., Mongey, S., Nagaraj, A., Saccarola, M., Tebaldi, P., Vasserman, S., & Yang, H. (2020). Socioeconomic Network Heterogeneity and Pandemic Policy Response (Working Paper No. 27374; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27374
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- Jul 2020
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covid-19.iza.org covid-19.iza.org
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Cho, S. J., Lee, J. Y., & Winters, J. V. (2020). Employment Impacts of the COVID-19 Pandemic across Metropolitan Status and Size. IZA Discussion Paper, 13468.
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osf.io osf.io
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Cruz, C. J. P., Ganly, R., Li, Z., & Gietel-Basten, S. (2020). Imported cases, community action, policy and institutional systems drive Hong Kong’s COVID-19 experience [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/5zuv7
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wellcomeopenresearch.org wellcomeopenresearch.org
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Jeffrey, B., Walters, C. E., Ainslie, K. E. C., Eales, O., Ciavarella, C., Bhatia, S., Hayes, S., Baguelin, M., Boonyasiri, A., Brazeau, N. F., Cuomo-Dannenburg, G., FitzJohn, R. G., Gaythorpe, K., Green, W., Imai, N., Mellan, T. A., Mishra, S., Nouvellet, P., Unwin, H. J. T., … Riley, S. (2020). Anonymised and aggregated crowd level mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was high and geographically consistent across the UK. Wellcome Open Research, 5, 170. https://doi.org/10.12688/wellcomeopenres.15997.1
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Jul 2, N. H. / P. (2020, July 2). Urban density not linked to higher coronavirus infection rates. The Hub. https://hub.jhu.edu/2020/07/02/urban-density-not-linked-to-higher-covid-19-infection-rates/
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twitter.com twitter.com
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Henry Grabar on Twitter: “I hope the pundits who said that New Yorkers got Covid because of density, the subway, or apartment buildings (NY’s own self-serving governor among them!) take a moment to reflect on how much damage that opinion did” / Twitter. (n.d.). Twitter. Retrieved July 17, 2020, from https://twitter.com/henrygrabar/status/1282323146218123266
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Grabar, H. (2020, April 17). Nothing About New York’s Outbreak Was Inevitable. Slate Magazine. https://slate.com/business/2020/04/coronavirus-new-york-city-outbreak-blame.html
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osf.io osf.io
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Kulu, H., & Dorey, P. (2020). Infection Rates from Covid-19 in Great Britain by Geographical Units: A Model-based Estimation from Mortality Data [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/84f3e
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osf.io osf.io
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Cohen, P. N. (2020). The COVID-19 epidemic in rural U.S. counties. https://doi.org/10.31235/osf.io/pnqrd
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psyarxiv.com psyarxiv.com
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Wool, Lauren E, and The International Brain Laboratory. ‘Knowledge across Networks: How to Build a Global Neuroscience Collaboration’. Preprint. PsyArXiv, 14 July 2020. https://doi.org/10.31234/osf.io/f4uaj.
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osf.io osf.io
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Arif, M., & Sengupta, S. (2020). Nexus between population density and COVID-19 pandemic in the south Indian states: A geo-statistical approach [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/e8nda
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- Jun 2020
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twitter.com twitter.com
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Twitter. (n.d.). Twitter. Retrieved June 12, 2020, from https://twitter.com/robertoge/status/1270710014135676928
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policyoptions.irpp.org policyoptions.irpp.org
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June 8, G. M. O. published on P. O., & 2020. (n.d.). Density can work post-COVID-19, with good urban planning. Policy Options. Retrieved June 9, 2020, from https://policyoptions.irpp.org/magazines/june-2020/density-can-work-post-covid-19-with-good-urban-planning/
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www.centreforlondon.org www.centreforlondon.org
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Coronavirus won’t be the end of big cities. (n.d.). Retrieved June 4, 2020, from https://www.centreforlondon.org/blog/the-city-isnt-dead/
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- May 2020
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Dahl Fitjar, R. (2020, May 9). The density and connectedness of cities now appear as weaknesses. LSE Business Review. https://blogs.lse.ac.uk/businessreview/2020/05/09/the-density-and-connectedness-of-cities-now-appear-as-weaknesses/
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Rader, B., Scarpino, S., Nande, A., Hill, A., Reiner, R., Pigott, D., Gutierrez, B., Shrestha, M., Brownstein, J., Castro, M., Tian, H., Pybus, O., & Kraemer, M. U. G. (2020). Crowding and the epidemic intensity of COVID-19 transmission [Preprint]. Epidemiology. https://doi.org/10.1101/2020.04.15.20064980
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- Apr 2020
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freakonomics.com freakonomics.com
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Hickey, M., Chen, D., & Douglas, R. L. (n.d.). What Does Covid-19 Mean for Cities (and Marriages)? (Ep. 410). Freakonomics. Retrieved April 24, 2020, from https://freakonomics.com/podcast/covid-19-cities/
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- May 2019
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pubs.rsc.org pubs.rsc.org
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However, it is still often stated that the other orbital energies have no physical meaning, and that it is a pity that nothing like Koopmans' theorem to give meaning to the other occupied orbital energies exists. The truth could not be more different: it has been established22–25 that the KS orbital energies of the valence levels in molecules approximate the experimental ionization energies much more closely (typically at 0.1 eV level) than the Hartree–Fock orbital energies do (difference with IPs typically ∼1 eV).
This is really one of the more spicy takes here. KS orbitals having no physical interpretation is often heard in the community, and here is a list of references and evidence that they do have physical significance.
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- Oct 2017
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rampages.us rampages.us
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sity rate ofnetwork (%)0.773
This also seems pretty dense
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Density rate ofnetwork (%)0.88
What we learned about this week - that seems like a pretty dense network
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