Creation of a Numerical Scoring System to Objectively Measure and Compare the Level of Rhetoric in Arabic Texts: A Feasibility Study, and A Working Prototype
This is the origin of "Rhetorical Density" as a quantitative linguistics metric.
Creation of a Numerical Scoring System to Objectively Measure and Compare the Level of Rhetoric in Arabic Texts: A Feasibility Study, and A Working Prototype
This is the origin of "Rhetorical Density" as a quantitative linguistics metric.
Grid cell classification
for - definition - degree of urbanization - definition - grid cell classification - definition - urban centre - definition - dense urban cluster - definition - semi-dense urban cluster - definition suburban or peri-urban cells - definition - rural cluster - definition - low density rural grid cells - definition - very low density rural grid cells
here you see a company with three different departments depicted in blue red and green
for - neuroscience - example - diverse and low density connections beats non-diverse and high connections
neuroscience - example diverse and low density connections vs non-diverse high density connections - having access to many diverse perspectives is a key enabler of good problem-solving and innovation
there’s something really magical about the information density of visuals and graphics, which I would argue is based on the fact that humans are deeply embodied in visual creatures before we were linguistic textural creatures. And so it’s kind of pulling on a much richer, kind of higher bandwidth information channel for us.
Only reprints (without any alterations)retain the original call number, all revises or new editions howeversmall the alterations should be given a new call number, butdecimals may be used with advantage.
Though referring to catalogs and office literature, in 1908 it was known that using decimals would allow one to distinguish between slightly different versions of indexable items without running out of "space" for new additions.
two tablespoons of crude oil contain as much free energy as would be expended by an adult male laborer in a day you every time you fill up your gas tank if you still have a gas tank uh 00:59:48 you're putting is you're putting two years of manual labor in that in that gas tank
for: fossil fuel energy density - example
example : energy density of fossil fuel
Ultra deep geothermal power
for:: clean energy source with high energy density -;ultra deep brother power
comment
it's mainly a problem of providing huge quantities of high power density zero carbon energy
for: modernity - high energy density
paraphrase
typically between 1010 and 1011 microbial cells per wet-weight gram of faeces7,8,9.
Melodic Rhythm Density as a Function of Style
Jah Schulz meets Chazbo - Stories - Infinite Density Records
In 1971, Eno co-formed the glam and art rock band Roxy Music. He had a chance meeting with saxophonist Andy Mackay at a train station, which led to him joining the band. Eno later said: "If I'd walked ten yards further on the platform, or missed that train, or been in the next carriage, I probably would have been an art teacher now".[24]
How does idea density influence the rate of creativity?
What are the thermodynamics of creativity? I've probably got enough material for a significant book chapter if not perhaps a book on this topic.
May need a more public friendly name. Burning Creativity?
In basic English, “it takes two coal workers, 169 solar workers and 1,100 wind workers to equal the work of one natural gas worker.”
One has to compare all the factors. Fossil fuels are dense but are nonrenewable. Once installed, renewables continue generating as long as the infrastructure is intact. Extending the lifetime of the infrastructure increases the cost competitiveness further. What is the net energy produced by low energy density renewables over its lifetime and how does it then compare with high density fossil fuels?
The report is 33 slides long; yet about 10 slide-equivalents are essentially content-free (compulsive repetitive branding, twiddly hierarchical organization, empty space, assorted title pages, and so on). This PP fluffed-up material here and quite a bit more could easily be placed in a technical report on 4 pages of an 11" by 17" piece of paper (folded in half)
‘Capitalizing on skepticism’: How the coronavirus has exposed us once again. (2022, February 16). The Seattle Times. https://www.seattletimes.com/seattle-news/capitalizing-on-skepticism-how-the-coronavirus-has-exposed-us-once-again/
Fischer, O., Jeitziner, L., & Wulff, D. U. (2021). Affect in science communication: A data-driven analysis of TED talks. PsyArXiv. https://doi.org/10.31234/osf.io/28yc5
Sy, Karla Therese L., Laura F. White, and Brooke E. Nichols. ‘Population Density and Basic Reproductive Number of COVID-19 across United States Counties’. PLOS ONE 16, no. 4 (21 April 2021): e0249271. https://doi.org/10.1371/journal.pone.0249271.
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:
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!
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.
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/
Carozzi, F., Provenzano, S., Roth, S. (2020). Urban Density and Covid-19. Retrieved from http://cep.lse.ac.uk/pubs/download/dp1711.pdf
Carl, N. (2020). An Analysis of COVID-19 Mortality at the Local Authority Level in England. https://doi.org/10.31235/osf.io/dmc2v
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
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
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
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
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/
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/
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
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.
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
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
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/
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
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
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
Cohen, P. N. (2020). The COVID-19 epidemic in rural U.S. counties. https://doi.org/10.31235/osf.io/pnqrd
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.
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
Twitter. (n.d.). Twitter. Retrieved June 12, 2020, from https://twitter.com/robertoge/status/1270710014135676928
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/
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/
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/
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
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/
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.
sity rate ofnetwork (%)0.773
This also seems pretty dense
Density rate ofnetwork (%)0.88
What we learned about this week - that seems like a pretty dense network