- Oct 2022
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hash.ai hash.ai
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Something for
#degrowth
?
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- Jan 2022
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www.nature.com www.nature.com
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Zimmerman, M. I., Porter, J. R., Ward, M. D., Singh, S., Vithani, N., Meller, A., Mallimadugula, U. L., Kuhn, C. E., Borowsky, J. H., Wiewiora, R. P., Hurley, M. F. D., Harbison, A. M., Fogarty, C. A., Coffland, J. E., Fadda, E., Voelz, V. A., Chodera, J. D., & Bowman, G. R. (2021). SARS-CoV-2 simulations go exascale to predict dramatic spike opening and cryptic pockets across the proteome. Nature Chemistry, 13(7), 651–659. https://doi.org/10.1038/s41557-021-00707-0
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- Nov 2021
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www.nature.com www.nature.com
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Cauchemez, S., & Bosetti, P. (2021). A reconstruction of early cryptic COVID spread. Nature. https://doi.org/10.1038/d41586-021-02989-3
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Leder, J., Schütz, A., & Pastukhov, A. (Sasha). (2021). Keeping the kids home: Increasing concern for others in times of crisis. PsyArXiv. https://doi.org/10.31234/osf.io/6s28u
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- Jun 2021
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Chadi, M.-A., & Mousannif, H. (2021). Reinforcement Learning Based Decision Support Tool For Epidemic Control [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/tcr8s
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- Mar 2021
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www.namics.nysaes.cornell.edu www.namics.nysaes.cornell.edu
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Monte Carlo simulation is used to determine the distribution of game lengths in number of moves for three popular children's games: Cootie, Candyland and Chutes and Ladders. The effect of modifications to the existing rules are investigated. Recommendations are made for preserving the sanity of parents who must participate in the games.
And people say math isn't important...
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journals.plos.org journals.plos.org
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Holme, P. (2021). Fast and principled simulations of the SIR model on temporal networks. PLOS ONE, 16(2), e0246961. https://doi.org/10.1371/journal.pone.0246961
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- Feb 2021
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journals.plos.org journals.plos.org
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Nande A, Adlam B, Sheen J, Levy MZ, Hill AL (2021) Dynamics of COVID-19 under social distancing measures are driven by transmission network structure. PLoS Comput Biol 17(2): e1008684. https://doi.org/10.1371/journal.pcbi.1008684
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- Oct 2020
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Houghton, J. P. (2020). Interdependent Diffusion: The social contagion of interacting beliefs. ArXiv:2010.02188 [Physics]. http://arxiv.org/abs/2010.02188
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- Sep 2020
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aip.scitation.org aip.scitation.org
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Virus transmission from urinals. (2020). Physics of Fluids, 32(8), 081703. https://doi.org/10.1063/5.0021450
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- Aug 2020
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osf.io osf.io
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Albertini, M., Sage, L., & Scherer, S. (2020). Intergenerational contacts and Covid-19 spread: Omnipresent grannies or bowling together? [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/exym8
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covid-19.iza.org covid-19.iza.org
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Lockdowns, Loneliness and Life Satisfaction. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 8, 2020, from https://covid-19.iza.org/publications/dp13140/
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covid-19.iza.org covid-19.iza.org
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Modelling the Distributional Impact of the COVID-19 Crisis. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 5, 2020, from https://covid-19.iza.org/publications/dp13235/
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covid-19.iza.org covid-19.iza.org
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Social Stability Challenged: Pandemics, Inequality and Policy Responses. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 5, 2020, from https://covid-19.iza.org/publications/dp13249/
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journals.plos.org journals.plos.org
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Aleta, A., Arruda, G. F. de, & Moreno, Y. (2020). Data-driven contact structures: From homogeneous mixing to multilayer networks. PLOS Computational Biology, 16(7), e1008035. https://doi.org/10.1371/journal.pcbi.1008035
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www.nber.org www.nber.org
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Baqaee, D., Farhi, E., Mina, M. J., & Stock, J. H. (2020). Reopening Scenarios (Working Paper No. 27244; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27244
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- Jul 2020
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Holme, P. (2020). Fast and principled simulations of the SIR model on temporal networks. ArXiv:2007.14386 [Physics, q-Bio]. http://arxiv.org/abs/2007.14386
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www.nber.org www.nber.org
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Fernández-Villaverde, J., & Jones, C. I. (2020). Estimating and Simulating a SIRD Model of COVID-19 for Many Countries, States, and Cities (Working Paper No. 27128; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27128
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www.nber.org www.nber.org
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Chodorow-Reich, G., & Coglianese, J. (2020). Projecting Unemployment Durations: A Factor-Flows Simulation Approach With Application to the COVID-19 Recession (Working Paper No. 27566; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27566
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Di Lauro, F., Croix, J.-C., Berthouze, L., & Kiss, I. (2020). PDE-limits of stochastic SIS epidemics on networks. ArXiv:2007.01043 [Physics, q-Bio]. http://arxiv.org/abs/2007.01043
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- Jun 2020
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www.theatlantic.com www.theatlantic.com
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Tufekci, Z. (2020, April 2). Don’t Believe the COVID-19 Models. The Atlantic. https://www.theatlantic.com/technology/archive/2020/04/coronavirus-models-arent-supposed-be-right/609271/
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www.nature.com www.nature.com
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Chawla, D. S. (2020). Critiqued coronavirus simulation gets thumbs up from code-checking efforts. Nature. https://doi.org/10.1038/d41586-020-01685-y
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Horn, S. R., Weston, S. J., & Fisher, P. (2020). Identifying causal role of COVID-19 in immunopsychiatry models [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/w4d5u
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link.aps.org link.aps.org
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Van Mieghem, P., & Wang, F. (2020). Time dependence of susceptible-infected-susceptible epidemics on networks with nodal self-infections. Physical Review E, 101(5), 052310. https://doi.org/10.1103/PhysRevE.101.052310
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Kurzweil, R. (2020 May 19). AI-Powered Biotech Can Help Deploy a Vaccine In Record Time. Wired. https://www.wired.com/story/opinion-ai-powered-biotech-can-help-deploy-a-vaccine-in-record-time/
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- May 2020
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psyarxiv.com psyarxiv.com
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Golino, H., Christensen, A. P., Moulder, R. G., Kim, S., & Boker, S. M. (2020, April 14). Modeling latent topics in social media using Dynamic Exploratory Graph Analysis: The case of the right-wing and left-wing trolls in the 2016 US elections. https://doi.org/10.31234/osf.io/tfs7c
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www.washingtonpost.com www.washingtonpost.com
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Stevens, H. & Muyskens, J. (2020 May 14). See how experts use disease modeling to predict coronavirus cases after states reopen. Washington Post. https://www.washingtonpost.com/graphics/2020/health/disease-modeling-coronavirus-cases-reopening/
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covid19.gleamproject.org covid19.gleamproject.org
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COVID-19 Modeling: Italy
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psyarxiv.com psyarxiv.com
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Cuskley, C., & Wallenberg, J. (2020, May 14). Noise resistance in communication: Quantifying uniformity and optimality. https://doi.org/10.31234/osf.io/wpvq4
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www.nyteknik.se www.nyteknik.se
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Forskare: ”Se upp med komplexa coronamodeller – de kan överträffa verkligheten”. (2020 April 24). Ny Teknik. https://www.nyteknik.se/opinion/forskare-se-upp-med-komplexa-coronamodeller-de-kan-overtraffa-verkligheten-6994339
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www.thelancet.com www.thelancet.com
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Wells, C. R., Stearns, J. K., Lutumba, P., & Galvani, A. P. (2020). COVID-19 on the African continent. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30374-1
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twitter.com twitter.com
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Mathias Bynens en Twitter: “New accessibility feature in @ChromeDevTools: simulate vision deficiencies, including blurred vision & various types of color blindness. 🔥 Find out how people with vision deficiencies experience your web app, and resolve contrast issues you didn’t even know you had! https://t.co/QKLQmEhhMM” / Twitter. (n.d.). Twitter. Retrieved April 28, 2020, from https://twitter.com/mathias/status/1237393102635012101
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Kojaku, S., Hébert-Dufresne, L., & Ahn, Y.-Y. (2020). The effectiveness of contact tracing in heterogeneous networks. ArXiv:2005.02362 [Physics, q-Bio]. http://arxiv.org/abs/2005.02362
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link.aps.org link.aps.org
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Krönke, J., Wunderling, N., Winkelmann, R., Staal, A., Stumpf, B., Tuinenburg, O. A., & Donges, J. F. (2020). Dynamics of tipping cascades on complex networks. Physical Review E, 101(4), 042311. https://doi.org/10.1103/PhysRevE.101.042311
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What Happens Next? COVID-19 Futures, Explained With Playable Simulations. (n.d.). What Happens Next? COVID-19 Futures, Explained With Playable Simulations. Retrieved May 4, 2020, from https://ncase.me/covid-19/
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- Apr 2020
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Han, L., Lin, Z., Tang, M., Zhou, J., Zou, Y., & Guan, S. (2020). Impact of contact preference on social contagions on complex networks. Physical Review E, 101(4), 042308. https://doi.org/10.1103/PhysRevE.101.042308
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www.sciencedirect.com www.sciencedirect.com
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Phillips, N. D., Hertwig, R., Kareev, Y., & Avrahami, J. (2014). Rivals in the dark: How competition influences search in decisions under uncertainty. Cognition, 133(1), 104–119. https://doi.org/10.1016/j.cognition.2014.06.006
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www.nature.com www.nature.com
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Adam, D. (2020 April 02). Special report: The simulations driving the world's response to COVID-19. Nature. doi: 10.1038/d41586-020-01003-6.
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- Nov 2019
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journals.sagepub.com journals.sagepub.com
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Pre-service teachers can benefit from the use of simulations that reproduce classroom environments, student behaviors and profiles, and academic outcomes to guide their craft as educators. In this text, simSchool is briefly evaluated by student teachers to determine its usefulness. While the study had significant limitations of volunteer test subjects in a one-time usage of the tool, simSchool still was given some high marks for it's purpose and realistic depiction of student profiles and classroom environment. Finding suggest simulations like simSchool can continue to improve and with long-term use, would be effective at developing skills for educators. Rating: 8/10
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districtadministration.com districtadministration.com
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In the text by Jennifer Herseim, virtual reality (VR) is identified as a tool to help with teacher training. Teachers can embark on a learning process in a secure environment with a diverse set of student avatars operated in part, by a real individual. Staff can explore their teaching methods and styles with recorded and measured skills and responses for future review and reflection. Rating 7/10
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- Apr 2018
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connect.springerpub.com connect.springerpub.com
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The observer can be the teacher or facilitator depending on the objectives of the activity. Group dynamics are usually presented in simulations in which there are a group of participants of three or more, while one participant acts as the nurse, the others are active observers (Jeffries, 2012).
This is interesting!
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- Mar 2018
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Polyester: simulating RNA-seq datasets with differential transcript expression
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- Mar 2016
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press.etc.cmu.edu press.etc.cmu.edu
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Beyond
So there's more to it than building things and surviving? A student who plays minecraft told me today that he thinks you actually do learn what you are simulating in the game. "Like when you build a garden, you learn how to farm," he told me. Hmmmm.
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- Jan 2016
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www.golf-simulators.com www.golf-simulators.comPhysics1
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The Physics of Golf, by Martin Paul Gardiner
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