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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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Liu, Y., Eggo, R. M., & Kucharski, A. J. (2020). Secondary attack rate and superspreading events for SARS-CoV-2. The Lancet, 395(10227), e47. https://doi.org/10.1016/S0140-6736(20)30462-1
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Pichler, Anton, Marco Pangallo, R. Maria del Rio-Chanona, François Lafond, and J. Doyne Farmer. “Production Networks and Epidemic Spreading: How to Restart the UK Economy?” ArXiv:2005.10585 [Physics, q-Fin], May 21, 2020. http://arxiv.org/abs/2005.10585.
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Johnson, N.F., Velásquez, N., Restrepo, N.J. et al. The online competition between pro- and anti-vaccination views. Nature (2020). https://doi.org/10.1038/s41586-020-2281-1
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Masuda, N., & Holme, P. (2020). Small inter-event times govern epidemic spreading on networks. Physical Review Research, 2(2), 023163. https://doi.org/10.1103/PhysRevResearch.2.023163
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www.annualreviews.org www.annualreviews.org
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Edelmann, A., Wolff, T., Montagne, D., & Bail, C. A. (2020). Computational Social Science and Sociology. Annual Review of Sociology, 46(1), annurev-soc-121919-054621. https://doi.org/10.1146/annurev-soc-121919-054621
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arxiv.org arxiv.org
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Tuninetti, M., Aleta, A., Paolotti, D., Moreno, Y., & Starnini, M. (2020). Prediction of scientific collaborations through multiplex interaction networks. ArXiv:2005.04432 [Physics]. http://arxiv.org/abs/2005.04432
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sfi-edu.s3.amazonaws.com sfi-edu.s3.amazonaws.com
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The Santa Fe Institute - SFI Transmission PDF
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Buitrago-Garcia, D. C., Egli-Gany, D., Counotte, M. J., Hossmann, S., Imeri, H., Salanti, G., & Low, N. (2020). The role of asymptomatic SARS-CoV-2 infections: Rapid living systematic review and meta-analysis [Preprint]. Epidemiology. https://doi.org/10.1101/2020.04.25.20079103
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Arons, M. M., Hatfield, K. M., Reddy, S. C., Kimball, A., James, A., Jacobs, J. R., Taylor, J., Spicer, K., Bardossy, A. C., Oakley, L. P., Tanwar, S., Dyal, J. W., Harney, J., Chisty, Z., Bell, J. M., Methner, M., Paul, P., Carlson, C. M., McLaughlin, H. P., … Jernigan, J. A. (2020). Presymptomatic SARS-CoV-2 Infections and Transmission in a Skilled Nursing Facility. New England Journal of Medicine, NEJMoa2008457. https://doi.org/10.1056/NEJMoa2008457
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Ghinai, I., Woods, S., Ritger, K. A., McPherson, T. D., Black, S. R., Sparrow, L., Fricchione, M. J., Kerins, J. L., Pacilli, M., Ruestow, P. S., Arwady, M. A., Beavers, S. F., Payne, D. C., Kirking, H. L., & Layden, J. E. (2020). Community Transmission of SARS-CoV-2 at Two Family Gatherings—Chicago, Illinois, February–March 2020. MMWR. Morbidity and Mortality Weekly Report, 69(15), 446–450. https://doi.org/10.15585/mmwr.mm6915e1
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Yong, S. E. F., Anderson, D. E., Wei, W. E., Pang, J., Chia, W. N., Tan, C. W., Teoh, Y. L., Rajendram, P., Toh, M. P. H. S., Poh, C., Koh, V. T. J., Lum, J., Suhaimi, N.-A. M., Chia, P. Y., Chen, M. I.-C., Vasoo, S., Ong, B., Leo, Y. S., Wang, L., & Lee, V. J. M. (2020). Connecting clusters of COVID-19: An epidemiological and serological investigation. The Lancet Infectious Diseases, S1473309920302735. https://doi.org/10.1016/S1473-3099(20)30273-5
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Zhu, Y., Bloxham, C. J., Hulme, K. D., Sinclair, J. E., Tong, Z. W. M., Steele, L. E., Noye, E. C., Lu, J., Chew, K. Y., Pickering, J., Gilks, C., Bowen, A. C., & Short, K. R. (2020). Children are unlikely to have been the primary source of household SARS-CoV-2 infections [Preprint]. Epidemiology. https://doi.org/10.1101/2020.03.26.20044826
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Danis, K., Epaulard, O., Bénet, T., Gaymard, A., Campoy, S., Bothelo-Nevers, E., Bouscambert-Duchamp, M., Spaccaferri, G., Ader, F., Mailles, A., Boudalaa, Z., Tolsma, V., Berra, J., Vaux, S., Forestier, E., Landelle, C., Fougere, E., Thabuis, A., Berthelot, P., … Bag, B. C. (2020). Cluster of coronavirus disease 2019 (Covid-19) in the French Alps, 2020. Clinical Infectious Diseases, ciaa424. https://doi.org/10.1093/cid/ciaa424
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Jing, Q.-L., Liu, M.-J., Yuan, J., Zhang, Z.-B., Zhang, A.-R., Dean, N. E., Luo, L., Ma, M.-M., Longini, I., Kenah, E., Lu, Y., Ma, Y., Jalali, N., Fang, L.-Q., Yang, Z.-C., & Yang, Y. (2020). Household Secondary Attack Rate of COVID-19 and Associated Determinants [Preprint]. Epidemiology. https://doi.org/10.1101/2020.04.11.20056010
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Bi, Q., Wu, Y., Mei, S., Ye, C., Zou, X., Zhang, Z., Liu, X., Wei, L., Truelove, S. A., Zhang, T., Gao, W., Cheng, C., Tang, X., Wu, X., Wu, Y., Sun, B., Huang, S., Sun, Y., Zhang, J., … Feng, T. (2020). Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: A retrospective cohort study. The Lancet Infectious Diseases, S1473309920302875. https://doi.org/10.1016/S1473-3099(20)30287-5
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www.cdc.gov www.cdc.gov
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Burke RM, Midgley CM, Dratch A, et al. Active Monitoring of Persons Exposed to Patients with Confirmed COVID-19 — United States, January–February 2020. MMWR Morb Mortal Wkly Rep 2020;69:245–246. DOI: http://dx.doi.org/10.15585/mmwr.mm6909e1
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html.rhhz.net html.rhhz.net
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Yi, C., Aihong, W., Keqin, D., Haibo, W., Jianmei, W., Hongbo, S., Sijia,W., & Guozhang, X. (2020) The epidemiological characteristics of infection in close contacts of COVID-19 in Ningbo city. Chinese Journal of Epidemiology. Vol. 41 Issue (0):0-0. http://dx.doi.org/10.3760/cma.j.cn112338-20200304-00251
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twitter.com twitter.com
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Dr Muge Cevik on Twitter
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www.ecdc.europa.eu www.ecdc.europa.eu
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Contact tracing for COVID-19: Current evidence, options for scale-up and an assessment of resources needed. (2020, May 5). European Centre for Disease Prevention and Control. https://www.ecdc.europa.eu/en/publications-data/contact-tracing-covid-19-evidence-scale-up-assessment-resources
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psyarxiv.com psyarxiv.com
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Tomohiro, I. (2020, May 8). Consensus among group members’ shared leadership ratings polarizes group performance. https://doi.org/10.31234/osf.io/psjeu
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Local file Local file
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ecommended choice isgaff2
gaff2 is recommended for organic molecule
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www.nature.com www.nature.com
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Vespignani, A., Tian, H., Dye, C. et al. Modelling COVID-19. Nat Rev Phys (2020). https://doi.org/10.1038/s42254-020-0178-4
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Local file Local file
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ecommended choice isgaff2
gaff2 is recommended for organic compounds
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journals.plos.org journals.plos.org
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Rivkind, A., Schreier, H., Brenner, N., & Barak, O. (2020). Scale free topology as an effective feedback system. PLOS Computational Biology, 16(5), e1007825. https://doi.org/10.1371/journal.pcbi.1007825
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jamanetwork.com jamanetwork.com
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Steinbrook, R. (2020). Contact Tracing, Testing, and Control of COVID-19—Learning From Taiwan. JAMA Internal Medicine. https://doi.org/10.1001/jamainternmed.2020.2072
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Inglesby, T. V. (2020). Public Health Measures and the Reproduction Number of SARS-CoV-2. JAMA. https://doi.org/10.1001/jama.2020.7878
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Liu, L., Wang, X., Tang, S., & Zheng, Z. (2020). Complex social contagion induces bistability on multiplex networks. ArXiv:2005.00664 [Physics]. http://arxiv.org/abs/2005.00664
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www.economist.com www.economist.com
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Countries are using apps and data networks to keep tabs on the pandemic. (2020 March 26). The Economist. https://www.economist.com/briefing/2020/03/26/countries-are-using-apps-and-data-networks-to-keep-tabs-on-the-pandemic?fsrc=newsletter&utm_campaign=the-economist-today&utm_medium=newsletter&utm_source=salesforce-marketing-cloud&utm_term=2020-05-07&utm_content=article-link-1
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cbio.bmt.tue.nl cbio.bmt.tue.nl
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This is a good overview of the common potentials of a force field
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Martins, A. C. R. (2020). Extremism definitions in opinion dynamics models. ArXiv:2004.14548 [Nlin, Physics:Physics]. http://arxiv.org/abs/2004.14548
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www.fil.ion.ucl.ac.uk www.fil.ion.ucl.ac.uk
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Friston, K. J., Parr, T., Zeidman, P., Razi, A., Flandin, G., Daunizeau, J., Hulme, O. J., Billig, A. J., Litvak, V., Moran, R. J., Price, C. J., & Lambert, C. (2020). Dynamic causal modelling of COVID-19. ArXiv:2004.04463 [q-Bio]. http://arxiv.org/abs/2004.04463
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Zhang, J. et al. (2020, April 2). Evolving epidemiology and transmission dynamics of coronavirus disease 2019 outside Hubei province, China: a descriptive and modelling study. The Lancet: Infectious Diseases. https://doi.org/10.1016/S1473-3099(20)30230-9.
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psyarxiv.com psyarxiv.com
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Segovia-Martín, J., & Tamariz, M. (2020, May 5). Testing early and late connectivity dynamics in the lab: an experiment using 4-agent micro-societies. https://doi.org/10.31234/osf.io/nuf78
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Shweta, F., Murugadoss, K., Awasthi, S., Venkatakrishnan, A., Puranik, A., Kang, M., Pickering, B. W., O’Horo, J. C., Bauer, P. R., Razonable, R. R., Vergidis, P., Temesgen, Z., Rizza, S., Mahmood, M., Wilson, W. R., Challener, D., Anand, P., Liebers, M., Doctor, Z., … Badley, A. D. (2020). Augmented Curation of Unstructured Clinical Notes from a Massive EHR System Reveals Specific Phenotypic Signature of Impending COVID-19 Diagnosis [Preprint]. Infectious Diseases (except HIV/AIDS). https://doi.org/10.1101/2020.04.19.20067660
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psyarxiv.com psyarxiv.com
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Rotella, A. M., & Mishra, S. (2020, April 24). Personal relative deprivation negatively predicts engagement in group decision-making. https://doi.org/10.31234/osf.io/6d35w
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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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- Apr 2020
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Leitner, S. (2020, April 18). On the dynamics emerging from pandemics and infodemics. https://doi.org/10.31234/osf.io/nqru6
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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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journals.plos.org journals.plos.org
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Garira W (2020) The research and development process for multiscale models of infectious disease systems. PLoS Comput Biol 16(4): e1007734. https://doi.org/10.1371/journal.pcbi.1007734
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www.thelancet.com www.thelancet.com
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Xu, S., & Li, Y. (2020). Beware of the second wave of COVID-19. The Lancet, S014067362030845X. https://doi.org/10.1016/S0140-6736(20)30845-X
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Government of Canada. (2020). Government of Canada funds 49 additional COVID-19 research projects – Details of the funded projects. Canada.ca. https://www.canada.ca/en/institutes-health-research/news/2020/03/government-of-canada-funds-49-additional-covid-19-research-projects-details-of-the-funded-projects.html
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Noorazar, H. (2020). Recent advances in opinion propagation dynamics: A 2020 Survey. ArXiv:2004.05286 [Physics]. http://arxiv.org/abs/2004.05286
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arxiv.org arxiv.org
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Nanni, M., Andrienko, G., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Giannotti, F., Guidotti, R., Helbing, D., Kertesz, J., Lehmann, S., Lepri, B., Lukowicz, P., … Vespignani, A. (2020). Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. ArXiv:2004.05222 [Cs]. http://arxiv.org/abs/2004.05222
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marlin-prod.literatumonline.com marlin-prod.literatumonline.com
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Liao, H., Zhang, L., Marley, G., Tang, W. (2020). Differentiating COVID-19 response strategies. University of North Carolina Project-China. DOI: 10.1016/j.xinn.2020.04.003
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doi.org doi.org
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Atchison, C. J., Bowman, L., Vrinten, C., Redd, R., Pristera, P., Eaton, J. W., & Ward, H. (2020). Perceptions and behavioural responses of the general public during the COVID-19 pandemic: A cross-sectional survey of UK Adults [Preprint]. Public and Global Health. https://doi.org/10.1101/2020.04.01.20050039
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URL
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www.pnas.org www.pnas.org
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Stavroglou, S. K., Pantelous, A. A., Stanley, H. E., & Zuev, K. M. (2020). Unveiling causal interactions in complex systems. Proceedings of the National Academy of Sciences, 117(14), 7599–7605. https://doi.org/10.1073/pnas.1918269117
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- Mar 2020
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www.mdanalysis.org www.mdanalysis.org
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MDAnalysis
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- Oct 2019
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www.iste.co.uk www.iste.co.uk
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Time and Dynamics
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- Jun 2019
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blogs.psychcentral.com blogs.psychcentral.com
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Internalization of anger can cause heart problems. As the Levenson study above shows, holding in your anger takes a toll on your heart. If you grow up in a household that is intolerant of your anger, ignores your anger, or fails to name, discuss or validate the reasons for your anger, you learn only one way to deal with it: wall it off. This may allow you to cope as a child, but it can harm your heart. Sensitivity to stress can cause back problems or headaches. What makes you sensitive to stress? Not dealing with your feelings. When you wall off your fear, your insecurity, your uncertainty, your anger, sadness, or hurt, those feelings do not go away. They simply pool together on the other side of the wall, waiting for something to touch them off. Then, when it happens, they all surge at you, making you feel overwhelmed and stressed. So going through your life with your feelings blocked makes you more sensitive to stress. Lack of self-awareness makes you vulnerable to poor habits. Families who don’t notice what their child is feeling miss getting to know their child on a deeply personal level. So they sadly remain unaware of who their child really is. I have seen, over decades of treating Childhood Emotional Neglect, that if your parents don’t see you, you do not learn that you are worth looking at. You grow up to be unaware of your own needs, and deep down you don’t realize that your needs even matter. You then are vulnerable to eating or sleeping too much or too little, drinking too much, or engaging in other behaviors that can harm your health. 3 Steps to Stop Childhood Emotional Neglect (CEN) From Harming Your Health Start paying attention to your feelings as you go through your day. Learn more emotion words and make an effort to use them, including naming your own feelings see the book Running On Empty: Overcome Your Childhood Emotional Neglect for an exhaustive list of feeling words). As you do steps 1 and 2 you will start to feel more. Now it is time to begin to actively take charge of your feelings. Work on learning the emotion s
IT should also be stressed that family dysfunction is highly variable and study correlations should never be construed as simple cause and effect. None of it is that simple--especially when it comes to dysfunctional family dynamics.Serious abusers for instance are expert liars (lest outsiders shine light on their true nature), and many come to clinic with stress related complaints about their own childhood experiences. Therapists and other healers must keep that in mind, and not fall to the flattery of 'so-and-so' is so good and helped me so much," while concealing and denying ongoing abuse they may be passing on--some in frank denial--on to their own families and to their own children.
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- Nov 2018
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www.microsoft.com www.microsoft.com
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Holographic computing made possible
Microsoft hololens is designed to enable a new dimension of future productivity with the introduction of this self-contained holographic tools. The tool allows for engagement in holograms in the world around you.
Learning environments will gain ground with the implementation of this future tool in the learning program and models.
RATING: 5/5 (rating based upon a score system 1 to 5, 1= lowest 5=highest in terms of content, veracity, easiness of use etc.)
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- Jul 2018
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wendynorris.com wendynorris.com
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er. Each of these choices reflect power dynamics and conflicting tensions. Desires for ‘presence’ or singular focus often conflict with obligations to be responsive and integrate ‘work’ and ‘life
Are these power dynamics/tensions: actor or agent-based? individual or technical? situational or contextual? deliberate or autonomous?
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- Aug 2017
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Microsoft Dynamics CRM Training
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- Jan 2017
- Sep 2015
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cms.whittier.edu cms.whittier.edu
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Another key area of research has focused on the relationship between individual or group identity and housing
Depending on how many people are involved in the use of an area, the dynamics can change
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- Jan 2014
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en.wikioffuture.org en.wikioffuture.org
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intra-individual concordance
Are there examples of this kind of data product at scale?
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but scientists' understanding of the emergent spatial dynamics at the population level has not kept pace, in large part due to an absence of appropriate tools for data handling and statistical analysis.
Tools gap needs to be filled to improve understanding of emergent spatial dynamics.
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A grant is awarded to University of Maryland, College Park to develop informatics tools that allow scientists and conservation managers to use animal relocation and tracking data to study movement processes at the population level.
Movement Dynamics Homepage: http://www.clfs.umd.edu/biology/faganlab/movement/
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www.clfs.umd.edu www.clfs.umd.edu
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NSF Advances in Biological Informatics: "Informatics tools for population-level animal movements." with T. Mueller, P. Leimgruber, A. Royle, and J. Calabrese. Thomas Mueller, an Assistant Research Scientist in my lab, leads this project. Also on this grant, postdoc Chris Fleming is investigating theoretical aspects of animal foraging and statistical issues associated with empirical data on animal movements. This project is developing innovative data management and analysis tools that will allow scientists and conservation managers to use animal relocation and tracking data to study movement processes at the population-level, focusing on the interrelationship of multiple moving individuals. We are developing and testing these new tools using datasets on Mongolian gazelles, whooping cranes, and blacktip sharks. More information is available on the Movement Dynamics Homepage.
Movement Dynamics Homepage: http://www.clfs.umd.edu/biology/faganlab/movement/
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www.clfs.umd.edu www.clfs.umd.edu
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My project seeks to develop computer models that simulate and link behavioral movement mechanisms which can be either based on memory, perceptual cues or triggered by environmental factors. It explores their efficiency under different scenarios of resource distributions across time and space. Finally it tries to integrate empirical data on resource distributions as well as movements of moving animals, such as satellite data on primary productivity and satellite tracking data of Mongolian gazelles.
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