Hanel, P. H. P. (2020). Conducting High Impact Research With Limited Financial Resources (While Working From Home) [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/s3fcu
1,163 Matching Annotations
- May 2020
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psyarxiv.com psyarxiv.com
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psyarxiv.com psyarxiv.com
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Sutin, A., Luchetti, M., Aschwanden, D., Lee, J., Sesker, A. A., Strickhouser, J., … Terracciano, A. (2020, May 6). Change in Five-Factor Model Personality Traits During the Acute Phase of the Coronavirus Pandemic. Retrieved from psyarxiv.com/ja7b5
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arxiv.org arxiv.org
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Aslak, U., & Alessandretti, L. (2020). Infostop: Scalable stop-location detection in multi-user mobility data. ArXiv:2003.14370 [Physics]. http://arxiv.org/abs/2003.14370
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arxiv.org arxiv.org
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Mancastroppa, M., Burioni, R., Colizza, V., & Vezzani, A. (2020). Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks. ArXiv:2004.07902 [Cond-Mat, Physics:Physics]. http://arxiv.org/abs/2004.07902
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Lanovaz, M., & Turgeon, S. (2020). Tutorial: Applying Machine Learning in Behavioral Research [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/9w6a3
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psyarxiv.com psyarxiv.com
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Farias, J. E. M., & Pilati, R. (2020). Violating social distancing amid COVID-19 pandemic: Psychological factors to improve compliance [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/apg9e
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Lobato, E. J. C., Powell, M., Padilla, L., & Holbrook, C. (2020). Factors Predicting Willingness to Share COVID-19 Misinformation. https://doi.org/10.31234/osf.io/r4p5z
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nexus.od.nih.gov nexus.od.nih.gov
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Santangelo, G. (2020, April 15). New NIH Resource to Analyze COVID-19 Literature: The COVID-19 Portfolio Tool. NIH Extramural Nexus. https://nexus.od.nih.gov/all/2020/04/15/new-nih-resource-to-analyze-covid-19-literature-the-covid-19-portfolio-tool/
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www.covidcrisislab.unibocconi.eu www.covidcrisislab.unibocconi.euAbout us1
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About us. (n.d.). Retrieved May 5, 2020, from /wps/wcm/connect/Site/CovidCrisisLab/Home/About+us
Tags
- implication
- policy
- crisis
- is:webpage
- analysis
- laboratory
- financial
- healthcare
- lab
- health
- research
- economy
- lang:en
- COVID-19
- population
- consequence
- society
- legal
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www.preprints.org www.preprints.org
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Samuel, J.; Ali, G.G.M.N.; Rahman, M.M.; Esawi, E.; Samuel, Y. COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification. Preprints 2020, 2020050015 (doi: 10.20944/preprints202005.0015.v1)
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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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bmcmedresmethodol.biomedcentral.com bmcmedresmethodol.biomedcentral.com
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Munn, Z., Peters, M. D. J., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018). Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Medical Research Methodology, 18(1), 143. https://doi.org/10.1186/s12874-018-0611-x
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psyarxiv.com psyarxiv.com
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Dhami, M. K., & Mandel, D. R. (2020). UK and US policies for communicating probability in intelligence analysis: A review [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/kuyhb
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www.theguardian.com www.theguardian.com
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Davey, M. (2020, May 28). Questions raised over hydroxychloroquine study which caused WHO to halt trials for Covid-19. The Guardian. https://www.theguardian.com/science/2020/may/28/questions-raised-over-hydroxychloroquine-study-which-caused-who-to-halt-trials-for-covid-19
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www.repository.cam.ac.uk www.repository.cam.ac.uk
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Toxvaerd, F. M. O. (2020). Equilibrium Social Distancing [Working Paper]. Faculty of Economics, University of Cambridge. https://doi.org/10.17863/CAM.52489
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twitter.com twitter.com
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Jo Wood on Twitter: „Yesterday saw by far the highest ever use of London @SantanderCycles and possibly highest volume of cycling ever seen in the capital. / Twitter. (n.d.). Twitter. Retrieved May 27, 2020, from https://twitter.com/jwolondon/status/1265197657385025536
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www.digital-democracy.org www.digital-democracy.org
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If it’s a live pet, you do a little threat modeling: is the cat cute and cuddly, or will it scratch the kid’s face off?
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wintoncentre.maths.cam.ac.uk wintoncentre.maths.cam.ac.uk
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Winton Centre for Risk and Evidence Communication
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www.annualreviews.org www.annualreviews.org
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Correia, Rion Brattig, Ian B. Wood, Johan Bollen, and Luis M. Rocha. “Mining Social Media Data for Biomedical Signals and Health-Related Behavior.” Annual Review of Biomedical Data Science, May 4, 2020. https://doi.org/10.1146/annurev-biodatasci-030320-040844.
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psyarxiv.com psyarxiv.com
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Feys, F., Brokken, S., & De Peuter, S. (2020, May 22). Risk-benefit and cost-utility analysis for COVID-19 lockdown in Belgium: the impact on mental health and wellbeing. https://doi.org/10.31234/osf.io/xczb3
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www.scirp.org www.scirp.org
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Makulilo, A. B. (2016). “A Person Is a Person through Other Persons”—A Critical Analysis of Privacy and Culture in Africa. Beijing Law Review, 7(3), 720–726. https://doi.org/10.4236/blr.2016.73020
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science.sciencemag.org science.sciencemag.org
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Salje, H., Tran Kiem, C., Lefrancq, N., Courtejoie, N., Bosetti, P., Paireau, J., Andronico, A., Hozé, N., Richet, J., Dubost, C.-L., Le Strat, Y., Lessler, J., Levy-Bruhl, D., Fontanet, A., Opatowski, L., Boelle, P.-Y., & Cauchemez, S. (2020). Estimating the burden of SARS-CoV-2 in France. Science, eabc3517. https://doi.org/10.1126/science.abc3517
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analytics.google.com analytics.google.com
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Cross-channel conversion paths See the big picture. Understand the value of upper funnel ad clicks in multi-click, cross-channel journeys.
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www.medrxiv.org www.medrxiv.org
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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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psychologicalsciences.unimelb.edu.au psychologicalsciences.unimelb.edu.au
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White, J. (2020, May 8). Attitudes of Australians to the Government’s COVIDSafe contact tracing app. Melbourne School of Psychological Sciences. https://psychologicalsciences.unimelb.edu.au/chdh/news/attitudes-of-australians-to-the-governments-covidsafe-contact-tracing-app
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science-sciencemag-org.ezproxy.redlands.edu science-sciencemag-org.ezproxy.redlands.edu
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Aspesi, C., & Brand, A. (2020). In pursuit of open science, open access is not enough. Science, 368(6491), 574–577. https://doi.org/10.1126/science.aba3763
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Kennedy, B., Atari, M., Davani, A. M., Hoover, J., Omrani, A., Graham, J., & Dehghani, M. (2020, May 7). Moral Concerns are Differentially Observable in Language. https://doi.org/10.31234/osf.io/uqmty
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ai.googleblog.com ai.googleblog.com
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Tsitsulin, A. & Perozzi B. Understanding the Shape of Large-Scale Data. (2020 May 05). Google AI Blog. http://ai.googleblog.com/2020/05/understanding-shape-of-large-scale-data.html
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psycnet.apa.org psycnet.apa.org
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Can we count on parents to help their children learn at home? (2020, May 8). Evidence for Action. https://blogs.unicef.org/evidence-for-action/can-we-count-on-parents-to-help-their-children-learn-at-home/
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academic.oup.com academic.oup.com
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While somewhat modest in size, the literature on chronic tolerance to nicotine in humans is reasonably consistent in showing clear evidence of tolerance to subjective mood effects but little or no tolerance to cardiovascular, performance or other nicotine effects
This is what I'd expect for tobacco, but it tells me little about nicotine. Most of the subjective effects are not from tobacco, so It's still plausible that nicotine does not develop tolerance. Indeed, the effects that don't go away are the effects expected from nicotine.
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psyarxiv.com psyarxiv.com
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Cartaud, A., François, Q., & Coello, Y. (2020). Beware of virus! Wearing a face mask against COVID-19 results in a reduction of social distancing [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/ubzea
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science.sciencemag.org science.sciencemag.org
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Drew, D. A., Nguyen, L. H., Steves, C. J., Menni, C., Freydin, M., Varsavsky, T., Sudre, C. H., Cardoso, M. J., Ourselin, S., Wolf, J., Spector, T. D., Chan, A. T., & Consortium§, C. (2020). Rapid implementation of mobile technology for real-time epidemiology of COVID-19. Science. https://doi.org/10.1126/science.abc0473
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Zoder-Martell, K., Markelz, A., Floress, M. T., Skriba, H. A., & Sayyah, L. E. N. (2020, May 6). Technology to Facilitate Telehealth in Applied Behavior Analysis. https://doi.org/10.31234/osf.io/nz5s7
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Du, H., Yang, J., King, R. B., Yang, L., & Chi, P. (2020). COVID-19 Increases Online Emotional and Health-Related Searches [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/5gskw
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Dey, S. K., Rahman, M. M., Siddiqi, U. R., & Howlader, A. (n.d.). Analyzing the epidemiological outbreak of COVID-19: A visual exploratory data analysis approach. Journal of Medical Virology, n/a(n/a). https://doi.org/10.1002/jmv.25743
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leoferres.info leoferres.info
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Ferres, L. (2020 April 10). COVID19 mobility reports. Leo's Blog. https://leoferres.info/blog/2020/04/10/covid19-mobility-reports/
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easystats.github.io easystats.github.io
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psyarxiv.com psyarxiv.com
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Haaf, J. M., Hoogeveen, S., Berkhout, S., Gronau, Q. F., & Wagenmakers, E. (2020, April 14). A Bayesian Multiverse Analysis of Many Labs 4: Quantifying the Evidence against Mortality Salience. https://doi.org/10.31234/osf.io/cb9er
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Interdonato, R., Magnani, M., Perna, D., Tagarelli, A., & Vega, D. (2020). Multilayer network simplification: Approaches, models and methods. ArXiv:2004.14808 [Physics]. http://arxiv.org/abs/2004.14808
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epjdatascience.springeropen.com epjdatascience.springeropen.com
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Vilella, S., Paolotti, D., Ruffo, G. et al. News and the city: understanding online press consumption patterns through mobile data. EPJ Data Sci. 9, 10 (2020). https://doi.org/10.1140/epjds/s13688-020-00228-9
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Laban, G., George, J., Morrison, V., & Cross, E. S. (2020, May 6). Tell Me More! Assessing Interactions with Social Robots From Speech. Retrieved from psyarxiv.com/jkht2
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www.medrxiv.org www.medrxiv.org
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Modi, C., Boehm, V., Ferraro, S., Stein, G., & Seljak, U. (2020). Total COVID-19 Mortality in Italy: Excess Mortality and Age Dependence through Time-Series Analysis. MedRxiv, 2020.04.15.20067074. https://doi.org/10.1101/2020.04.15.20067074
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www.sciencedirect.com www.sciencedirect.com
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Hart, O. E., & Halden, R. U. (2020). Computational analysis of SARS-CoV-2/COVID-19 surveillance by wastewater-based epidemiology locally and globally: Feasibility, economy, opportunities and challenges. Science of The Total Environment, 730, 138875. https://doi.org/10.1016/j.scitotenv.2020.138875
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statmodeling.stat.columbia.edu statmodeling.stat.columbia.edu
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Statistical Modeling, Causal Inference, and Social Science. (2020 April 22). Blog Post: New analysis of excess coronavirus mortality; also a question about poststratification. https://statmodeling.stat.columbia.edu/2020/04/22/analysis-of-excess-coronavirus-mortality-also-a-question-about-poststratification/
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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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psyarxiv.com psyarxiv.com
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Olthof, M., Hasselman, F., & Lichtwarck-Aschoff, A. (2020, May 1). Complexity In Psychological Self-Ratings: Implications for research and practice. Retrieved from psyarxiv.com/fbta8
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psyarxiv.com psyarxiv.com
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Horstmann, K. T., Rauthmann, J. F., Sherman, R. A., & Ziegler, M. (2020, April 30). Unveiling an Exclusive Link: Predicting Behavior with Personality, Situation Perception, and Affect in a Pre-Registered Experience Sampling Study. Retrieved from psyarxiv.com/ztw2n
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- Apr 2020
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psyarxiv.com psyarxiv.com
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Tarbox, C., Silverman, E. A., Chastain, A. N., Little, A., Bermudez, T. L., & Tarbox, J. (2020, April 30). Taking ACTion: 18 Simple Strategies for Supporting Children with Autism During the COVID-19 Pandemic. Retrieved from psyarxiv.com/96whj
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psyarxiv.com psyarxiv.com
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Edelsbrunner, P. A., & Thurn, C. (2020, April 22). Improving the Utility of Non-Significant Results for Educational Research. https://doi.org/10.31234/osf.io/j93a2
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Moyers, S. A., & Hagger, M. S. (2020, April 20). Physical activity and sense of coherence: A meta-analysis. https://doi.org/10.31234/osf.io/d9e3k
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psyarxiv.com psyarxiv.com
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Fischer, R., Karl, J. A., Bortolini, T., Zilberberg, M., Robinson, K., Rabelo, A. L. A., … Mattos, P. (2020, April 22). Rapid review and meta-meta-analysis of self-guided interventions to address anxiety, depression and stress during COVID-19 social distancing. https://doi.org/10.31234/osf.io/ndyf4
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psyarxiv.com psyarxiv.com
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Dai, B., Fu, D., Meng, G., Qi, L., & Liu, X. (2020, April 25). The effects of governmental and individual predictors on COVID-19 protective behaviors in China: a path analysis model. https://doi.org/10.31234/osf.io/hgzj9
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psyarxiv.com psyarxiv.com
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Derks, K., de swart, j., van Batenburg, P., Wagenmakers, E., & wetzels, r. (2020, April 28). Priors in a Bayesian Audit: How Integration of Existing Information into the Prior Distribution Can Increase Transparency, Efficiency, and Quality. Retrieved from psyarxiv.com/8fhkp
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Chaves, M. S., Mattos, T. G., & Atman, A. P. F. (2020). Characterizing network topology using first-passage analysis. Physical Review E, 101(4), 042123. https://doi.org/10.1103/PhysRevE.101.042123
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psyarxiv.com psyarxiv.com
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Hallford, D. J., & D'Argembeau, A. (2020, April 15). Why We Imagine Our Future: Introducing the Functions of Future Thinking Scale (FoFTS). https://doi.org/10.31234/osf.io/bez4u
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psyarxiv.com psyarxiv.com
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Jarynowski, A., Wójta-Kempa, M., & Belik, V. (2020, April 22). TRENDS IN PERCEPTION OF COVID-19 IN POLISH INTERNET. https://doi.org/10.31234/osf.io/dr3gm
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Wang, T., Chen, X., Zhang, Q., & Jin, X. (2020, April 26). Use of Internet data to track Chinese behavior and interest in COVID-19. https://doi.org/10.31234/osf.io/j6m8q
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www.medrxiv.org www.medrxiv.org
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Jefferson, T., Jones, M., Al Ansari, L. A., Bawazeer, G., Beller, E., Clark, J., Conly, J., Del Mar, C., Dooley, E., Ferroni, E., Glasziou, P., Hoffman, T., Thorning, S., & Van Driel, M. (2020). Physical interventions to interrupt or reduce the spread of respiratory viruses. Part 1 - Face masks, eye protection and person distancing: Systematic review and meta-analysis [Preprint]. Public and Global Health. https://doi.org/10.1101/2020.03.30.20047217
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psyarxiv.com psyarxiv.com
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Fronapfel, B. H., & Demchak, M. (2020, April 12). School’s Out for COVID-19: 50 Ways BCBA Trainees in Special Education Settings Can Accrue Independent Fieldwork Experience Hours During the Pandemic. https://doi.org/10.31234/osf.io/cr3uv
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psyarxiv.com psyarxiv.com
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Colombo, R., Wallace, M., & Taylor, R. S. (2020, April 11). An Essential Service Decision Model for Applied Behavior Analytic Providers During Crisis. https://doi.org/10.31234/osf.io/te8ha
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Source: Office for National Statistics - United Kingdom
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Wölfel, R., Corman, V.M., Guggemos, W. et al. Virological assessment of hospitalized patients with COVID-2019. Nature (2020). https://doi.org/10.1038/s41586-020-2196-x
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www.nationalreview.com www.nationalreview.com
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Verbruggen, R. (2020 March 24). Another COVID Cost-Benefit Analysis. National Review. https://www.nationalreview.com/corner/another-covid-cost-benefit-analysis/
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doi.org doi.org
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Hossain, M. A. (2020). Is the spread of COVID-19 across countries influenced by environmental, economic and social factors? [Preprint]. Epidemiology. https://doi.org/10.1101/2020.04.08.20058164
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Punn, N. S., Sonbhadra, S. K., & Agarwal, S. (2020). COVID-19 Epidemic Analysis using Machine Learning and Deep Learning Algorithms [Preprint]. Health Informatics. https://doi.org/10.1101/2020.04.08.20057679
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journals.plos.org journals.plos.org
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Sumner, P., Vivian-Griffiths, S., Boivin, J., Williams, A., Bott, L., Adams, R., Venetis, C. A., Whelan, L., Hughes, B., & Chambers, C. D. (2016). Exaggerations and Caveats in Press Releases and Health-Related Science News. PLOS ONE, 11(12), e0168217. https://doi.org/10.1371/journal.pone.0168217
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post.parliament.uk post.parliament.uk
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Hill-Cawthorne, G. (2020). COVID-19: Insights from behavioural science. https://post.parliament.uk/analysis/covid-19-insights-from-behavioural-science/, https://post.parliament.uk/analysis/covid-19-insights-from-behavioural-science/
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www.imperial.ac.uk www.imperial.ac.uk
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The economic impact of coronavirus: Analysis from Imperial experts | Imperial News | Imperial College London. (n.d.). Imperial News. Retrieved April 8, 2020, from https://www.imperial.ac.uk/news/196514/the-economic-impact-coronavirus-analysis-from/
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www.cmu.edu www.cmu.edu
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Fischhoff, B., de Bruin, W. B., Güvenç, Ü., Caruso, D., & Brilliant, L. (2006). Analyzing disaster risks and plans: An avian flu example. Journal of Risk and Uncertainty, 33(1–2), 131–149. https://doi.org/10.1007/s11166-006-0175-8
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twitter.com twitter.com
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ReconfigBehSci en Twitter: “https://t.co/DN7ajEZkiJ and Fischhoff, B., Wong-Parodi, G., Garfin, D., Holman, E.A., & Silver, R. (2018). Public understanding of Ebola risks: Mastering an unfamiliar threat. Risk Analysis, 38(1), 71-83. doi: 10.1111/risa.12794 2)” / Twitter. (n.d.). Twitter. Retrieved April 16, 2020, from https://twitter.com/scibeh/status/1243547189248393218
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datascience.udd.cl datascience.udd.cl
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Ferres, L., Schifanella, R., Perra, N., Vilella, S., Bravo, L., Paolotti, D., Ruffo, G., & Sacasa, M. (n.d.). Measuring Levels of Activity in a Changing City. 11.
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Giangreco, G. (n.d.). Case fatality rate analysis of Italian COVID-19 outbreak. Journal of Medical Virology, n/a(n/a). https://doi.org/10.1002/jmv.25894
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trello.com trello.com
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Collective Intelligence and COVID-19 | Trello. (n.d.). Retrieved April 20, 2020, from https://trello.com/b/STdgEhvX/collective-intelligence-and-covid-19
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arxiv.org arxiv.org
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Alam, F., Sajjad, H., Imran, M., & Ofli, F. (2020). Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing. ArXiv:2004.06774 [Cs]. http://arxiv.org/abs/2004.06774
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www.troyhunt.com www.troyhunt.com
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It might be contrary to traditional thinking, but writing unique passwords down in a book and keeping them inside your physically locked house is a damn sight better than reusing the same one all over the web. Just think about it - you go from your "threat actors" (people wanting to get their hands on your accounts) being anyone with an internet connection and the ability to download a broadly circulating list Collection #1, to people who can break into your house - and they want your TV, not your notebook!
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time.com time.com
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“Even if experts are saying it’s really not going to make a difference, a little [part of] people’s brains is thinking, well, it’s not going to hurt. Maybe it’ll cut my risk just a little bit, so it’s worth it to wear a mask,” she says.
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- Mar 2020
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www.cmswire.com www.cmswire.com
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One MailChimp user tweeted this week that it seems the EU has "effectively killed newsletter with GDPR." He said he sent "get consent" emails through MailChimp and reported these numbers: 100 percent delivery rate, 37 percent open rate, 0 percent given consent.
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en.wikipedia.org en.wikipedia.org
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stats.idre.ucla.edu stats.idre.ucla.edu
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Factors that affect power
Factors that affect power.
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Cohen’s recommendations: Jacob Cohen has many well-known publications regarding issues of power and power analyses, including some recommendations about effect sizes that you can use when doing your power analysis. Many researchers (including Cohen) consider the use of such recommendations as a last resort, when a thorough literature review has failed to reveal any useful numbers and a pilot study is either not possible or not feasible. From Cohen (1988, pages 24-27):
Recommendations from Cohen about choosing the effect size when doing a power analysis.
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Obtaining the necessary numbers to do a power analysis
Obtaining the necessary numbers to do a power analysis
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Power is the probability of detecting an effect, given that the effect is really there. In other words, it is the probability of rejecting the null hypothesis when it is in fact false. For example, let’s say that we have a simple study with drug A and a placebo group, and that the drug truly is effective; the power is the probability of finding a difference between the two groups. So, imagine that we had a power of .8 and that this simple study was conducted many times. Having power of .8 means that 80% of the time, we would get a statistically significant difference between the drug A and placebo groups. This also means that 20% of the times that we run this experiment, we will not obtain a statistically significant effect between the two groups, even though there really is an effect in reality.
Power analysis definition
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www.lexology.com www.lexology.com
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Are any sectors experiencing significant M&A activity? The following sectors are experiencing significant M&A activity: manufacturing; financial services; IT and information technology enabled services; oil and gas; pharmaceuticals; life sciences; and healthcare.
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www.mca.gov.in www.mca.gov.in
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Form No INC-5 : One Person Company- Intimation of exceeding threshold Form No INC-21 : Declaration prior to the commencement of business or exercising borrowing powers Form No. PAS-3 : Return of allotment Form No. SH-8 : letter of offer Form No SH-11 : Return in respect of buy-back of securities Form No MGT-14 : Filing of Resolutions and agreements to the Registrar Form No DIR-11 : Notice of resignation of a director to the Registrar Form No. MR-1 : Return of appointment of managing director or whole time director or manager Form No FC-4 : Annual Return of a Foreign company Form No MSC-3 : Return of dormant companies Form 5INV : Statement of unclaimed and unpaid amounts Form I-XBRL : Form for filing XBRL document in respect of cost audit report and other documents with the Central Government Form A-XBRL : Form for filing XBRL document in respect of compliance report and other documents with the Central Government
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- Feb 2020
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journals.sagepub.com journals.sagepub.com
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Discourses tend to be intertextual and interdiscursive (Reisigl and Wodak, 2001: 39). They interlink various texts, discourses and contexts. Social media data are therefore not independent from other media but tend to be multimodal and connected with texts in traditional media. An example is that many political tweets tend to link to articles in the online versions of mainstream newspapers. Studying social media therefore does not substitute the study of other media but often requires studying various media’s intercon-nection. Discourses are texts that stand in particular societal, political-economic, histori-cal, cultural contexts. Understanding them requires taking a holistic point of view, that is, to situate them in history and society.
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moodle.cpce-polyu.edu.hk moodle.cpce-polyu.edu.hk
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Introduction
The first two sentences briefly summarise the scenario; the last sentence of the paragraph highlights the problem -- the topic to be elaborated in the subsequent section.
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ttu.blackboard.com ttu.blackboard.com
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What do you envision these people will do over the next two,three, and four years? How is it different from what they do now?
optimal questions
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wouldn’t it makesense to make that program widely available? Jobs are changing. We need best-in-breed practices here. What can we do to move that dispersed and diversegroup forward?”
YES I THOUGHT THE EXACT SAME FUCKING THING
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chrisbateman.github.io chrisbateman.github.io
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webpack.js.org webpack.js.orgConcepts1
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Bundle Analysis
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- Jan 2020
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quantum.country quantum.country
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What does it mean for a matrix UUU to be unitary? It’s easiest to answer this question algebraically, where it simply means that U†U=IU^\dagger U = IU†U=I, that is, the adjoint of UUU, denoted U†U^\daggerU†, times UUU, is equal to the identity matrix. That adjoint is, recall, the complex transpose of UUU:
Starting to get a little bit more into linear algebra / complex numbers. I'd like to see this happen more gradually as I haven't used any of this since college.
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diposit.ub.edu diposit.ub.edu
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) +)
Krippendorff, aquí en la bibliografía: Content analysis. An introduction to its methodology.
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- Dec 2019
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medium.com medium.comtayloR1
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“A measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track. Tracks with high valence sound more positive (e.g. happy, cheerful, euphoric), while tracks with low valence sound more negative (e.g. sad, depressed, angry).”
What is valence in music according to Spotify?
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www.civilsociety.co.uk www.civilsociety.co.uk
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Foundation finds its grantees 'significantly outperform' similar charities
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unixwiz.net unixwiz.net
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Before each election, I have traditionally written up an analysis of the California ballot measures and send it to my friends. It's not always obvious what the "real" agenda is on each one, and even with clear purposes there are often competing interests at play. These writings are the result of my own analysis, which comes from a libertarian perspective, and I'm not knowingly affiliated with any party behind any ballot measure. I believe that mere lists of "vote yes" or "vote no" are not very helpful except for sheep: it's important to know why one is urged to vote in any given direction. I would rather you vote against my position because you had an opposing view than vote with my position because you flipped a coin.
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- Nov 2019
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rstudio-pubs-static.s3.amazonaws.com rstudio-pubs-static.s3.amazonaws.com
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1. Introduction to eXtensible Time Series, using xts and zoo for time series Introducing xts and
question?
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github.com github.com
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a-little-book-of-r-for-time-series.readthedocs.io a-little-book-of-r-for-time-series.readthedocs.io
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This booklet itells you how to use the R statistical software to carry out some simple analyses that are common in analysing time series data.
what is time series?
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- Sep 2019
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lateraleconomics.com.au lateraleconomics.com.au
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Estimated economic benefit of data linkage
the potential value from linking Census data to administrative data sets is only beginning to be realised and holds immense potential.(In other work for the Population Health Research Network, Lateral Economics concluded that data linkage generated over $16 for every dollar invested).
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Economic benefit of the Census.
Our estimates suggest the benefits of running the Census easily outweigh its costs in the order of$6 of economic value for each $1 it costs. On this reckoning, the cost of the Census would have to rise to six times its current cost –to around $3 billion every five years –before it startedto become cost ineffective
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- Aug 2019
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labsblog.f-secure.com labsblog.f-secure.com
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Security Issues, Dangers And Implications Of Smart Systems
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www.pysurvival.io www.pysurvival.io
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so that instead of predicting the time of event, we are predicting the probability that an event happens at a particular time .
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- Jul 2019
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www.bloomberg.com www.bloomberg.com
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Children are going hungry too. Almost 14% of kids, or some 3.5 million in all, are estimated to live in poverty -- and that’s already down from a peak of more than 16% in 2012. To combat the problem, local governments around the country are opening thousands of cafeterias where children can eat for free.
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Given all of this good behavior, conservatives might expect that Japan’s poverty rate would be very low. But the opposite is true; Japan has a relatively high number of poor people for an advanced country.
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archimede.mat.ulaval.ca archimede.mat.ulaval.ca
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In practice, we found that it is not appropriate to use Aalen’s additive hazardsmodel for all datasets, because when we estimate cumulativeregression functionsB(t),they are restricted to the time interval where X (X has been defined in Chapter 3) is offull rank, that meansX0Xis invertible. Sometimes we found that X is not of full rank,which was not a problem with the Cox model.
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An overall conclusion is that the two models give different pieces of informationand should not be viewed as alternatives to each other, but ascomplementary methodsthat may be used together to give a fuller and more comprehensive understanding ofdata
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The effect ofthe covariates on survival is to act multiplicatively on some unknown baseline hazardrate, which makes it difficult to model covariate effects that change over time. Secondly,if covariates are deleted from a model or measured with a different level of precision, theproportional hazards assumption is no longer valid. These weaknesses in the Cox modelhave generated interest in alternative models. One such alternative model is Aalen’s(1989) additive model. This model assumes that covariates act in an additive manneron an unknown baseline hazard rate. The unknown risk coefficients are allowed to befunctions of time, so that the effect of a covariate may vary over time.
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www.sthda.com www.sthda.com
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Note that, three often used transformations can be specified using the argument fun: “log”: log transformation of the survivor function, “event”: plots cumulative events (f(y) = 1-y). It’s also known as the cumulative incidence, “cumhaz” plots the cumulative hazard function (f(y) = -log(y))
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Note that, the confidence limits are wide at the tail of the curves, making meaningful interpretations difficult. This can be explained by the fact that, in practice, there are usually patients who are lost to follow-up or alive at the end of follow-up. Thus, it may be sensible to shorten plots before the end of follow-up on the x-axis (Pocock et al, 2002).
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www.khanacademy.org www.khanacademy.org
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our sum of squares is 41.187941.187941.1879
Just considering the Y, and not the X. Calculating the residuals from the average/mean Y.
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summarizing and visualizing a complex data table in which individuals are described by several sets of variables (quantitative and /or qualitative) structured into groups.
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www.sthda.com www.sthda.com
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it acts as PCA quantitative variables and as MCA for qualitative variables.
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factominer.free.fr factominer.free.fr
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MFA is a weighted PCA
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Study the similarity between individuals with respect to thewhole set of variables AND the relationships between variables
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pedroconcejero.wordpress.com pedroconcejero.wordpress.com
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RF is now a standard to effectively analyze a large number of variables, of many different types, with no previous variable selection process. It is not parametric, and in particular for survival target it does not assume the proportional risks assumption.
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www.cscu.cornell.edu www.cscu.cornell.edu
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Thesurvival function gives,for every time,the probability of surviving(or not experiencing the event) up to that time.The hazard function gives the potential that the event will occur, per time unit, given that an individual has survived up to the specified time.
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- May 2019
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www.randhome.io www.randhome.io
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Methodology The classic OSINT methodology you will find everywhere is strait-forward: Define requirements: What are you looking for? Retrieve data Analyze the information gathered Pivoting & Reporting: Either define new requirements by pivoting on data just gathered or end the investigation and write the report.
Etienne's blog! Amazing resource for OSINT; particularly focused on technical attacks.
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- Mar 2019
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www.nwlink.com www.nwlink.com
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This is Bloom's taxonomy of cognitive objectives. I selected this page because it explains both the old and new versions of the taxonomy. When writing instructional objectives for adult learning and training, one should identify the level of learning in Blooms that is needed. This is not the most attractive presentation but it is one of the more thorough ones. rating 4/5
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iphysresearch.github.io iphysresearch.github.io
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A Deep Generative Model of Speech Complex Spectrograms
对傅里叶变换建模~~
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www.thedevelopersconference.com.br www.thedevelopersconference.com.br
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Você consegue visualizar a saúde da sua aplicação?
Ainda que aqui os tópicos da certificação não cubram exatamente esse assunto, monitorar a saúde de um sistema e suas aplicações é missão do profissional DevOps. Atente para os tópicos:
701 Software Engineering 701.1 Modern Software Development (weight: 6)
e
705.2 Log Management and Analysis (weight: 4)
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- Feb 2019
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paleorxiv.org paleorxiv.org
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set; if this is higher, the tree 2can be considered to fit the data less well
To test the fit between data and more than one alternative tree, you can just do a bootstrap analysis, and map the results on a neighbour-net splits graph based on the same data.
Note that the phangorn library includes functions to transfer information between trees/tree samples and trees and networks:<br/> Schliep K, Potts AJ, Morrison DA, Grimm GW. 2017. Intertwining phylogenetic trees and networks. Methods in Ecology and Evolution (DOI:10.1111/2041-210X.12760.)[http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12760/full] – the basic functions and script templates are provided in the associated vignette.
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framework.thoughtvectors.net framework.thoughtvectors.net
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especially at a time when many (perhaps most) computer technologies appear untethered to any philosophy besides the pursuit of maximum profit
This is why I am here. As we have become more and more specialized, we have become less capable of understanding the consequences, good or ill, of new technologies. Looking back at foundational documents like this with a critical eye is a first step. We can't divorce science and technology from history, ethics and critical analysis without suffering the consequences. Looking back and understanding how we got here will provide clues in how to fix things. I am Geoff Cain - I started out life as a writer and English teacher and eventually went into elearning. I am VERY interested in projects like this because we need to stop being passive consumers of information. I want to help end the Era of the Guilty By-Stander: shared thought can lead to shared action. I will be blogging my experiences with this project at http://geoffcain.com
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- Jan 2019
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www.at-the-intersection.com www.at-the-intersection.com
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Kind of the technical philosophy is everything that happens in the market is captured in the data and so any headline moves will be captured pretty much instantaneously or in a few minutes in the charts.
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Yeah, uh, I would say for reallocating, I'm, yeah. So I would say on Gemini I do Bitcoin, ethereum, and that's kind of like the longer term things.
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Uh, I definitely have some other, you know, mostly it's mostly I use ta very, very ta heavy. Um, I will, but I'll always keep the fundamentals in mind, especially for the medium to long term.
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I really try to focus on technicals cause I mean, yeah, the technicals is, is supposed to be representative, at least from an historical standpoint of the sentiment, right? Like if it's, if it's losing, if people are losing faith in it, then you'll probably see where did it go down? You'll see the price get affected by it. Um, and I tried to just trade on that. I try to minimize my sources all over the place.
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So depending on where you're trading, you could put more emphasis on where the other, when when you're doing fundamental analysis on a stock, there's a lot more information going into that, you know, potential company valuation. Um, whereas I would argue most cryptocurrencies heavily lack fundamentals at all.
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I personally try to trade based on technicals only. I'll read stuff for more general and for information. Um, but I guess the way I look at is like technical is this more short term? And fundamentals is more longterm.
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Uh, yeah, I'm in a few groups. There's a couple of the crypto focused, uh, the also have been just, I wouldn't say [inaudible], but have put more emphasis on, you know, since we're technical traders, there's a reason not to take advantage of, uh, the market opportunities and traditional as they pop up. So we've been focused mainly on just very few inverse etfs to short the s&p to short some major Chinese stocks, um, doing some stuff with, uh, oil, gas. And then there's some groups that I'm in that are specifically focused on just traditional, uh, that are broken up or categorized by what they're trading.
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inst-fs-iad-prod.inscloudgate.net inst-fs-iad-prod.inscloudgate.net
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This is because most authors usually did not report a plausible theoretical model for the structure of their observed variables, and there was often insufficient information for us to create our own plausible non-g models that could be compared with a theory of the existence of Spearman’s g in the data
The EFA vs. CFA question was a stickler for one peer reviewer, and I can understand why. When measurement is based on strong theory, then I believe that CFA is preferable to EFA. But that was rarely the case in these datasets.
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the strongest first factor accounted for 86.3% of observed variable variance
I suspect that this factor was so strong because it consisted of only four observed variables, and three of them were written measures of verbal content. All of the verbal cariables correlated r = .72 to .89. Even the "non-verbal" variable (numerical ability) correlates r = .72 to .81 with the other three variables (Rehna & Hanif, 2017, p. 25). Given these strong correlations, a very strong first factor is almost inevitable.
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The weakest first factor accounted for 18.3% of variance
This factor may be weak because the sample consists of Sudanese gifted children, which may have restricted the range of correlations in the dataset.
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The mean sample size of the remaining data sets was 539.6 (SD = 1,574.5). The large standard deviation in relationship to the mean is indicative of the noticeably positively skewed distribution of sample sizes, a finding supported by the much smaller median of 170 and skewness value of 6.297. There were 16,559 females (33.1%), 25,431 males (48.6%), and 10,350 individuals whose gender was unreported (19.8%). The majority of samples—62 of 97 samples (63.9%)—consisted entirely or predominantly of individuals below 18. Most of the remaining samples contained entirely or predominantly adults (32 data sets, 33.0%), and the remaining 3 datasets (3.1%) had an unknown age range or an unknown mix of adults and children). The samples span nearly the entire range of life span development, from age 2 to elderly individuals.
My colleague, Roberto Colom, stated in his blog (link below) that he would have discarded samples with fewer than 100 individuals. This is a legitimate analysis decision. See his other commentary (in Spanish) at https://robertocolom.wordpress.com/2018/06/01/la-universalidad-del-factor-general-de-inteligencia-g/
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wendynorris.com wendynorris.com
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Overall, recovery studies suggest that subcategories of the recovery process exist. However, different units of analysis (e.g., individual versus group) or different types of groups (e.g., based on ethnicity or social class) may experience the phases of recovery at differing rates. Thus, patterns, phrases or cycles of recovery are not linear.
Strong statement on how the unit of analysis can influence disaster research beyond theoretical frameworks and the need to look at temporality differently.
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- Dec 2018
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inst-fs-iad-prod.inscloudgate.net inst-fs-iad-prod.inscloudgate.net
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Ethnographic findings are not privileged, just particular: another country heard from. To regard them as anything more (or anything less) than that distorts both them and their implications, which are far profounder than mere primitivity, for social theory.
This tension exists in HCI as well.
Interpreted data vs empirical data and how each is systematically analyzed.
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- Nov 2018
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iphysresearch.github.io iphysresearch.github.io
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On the Spectral Bias of Deep Neural Networks
就是这么一句话：“we study deep networks using Fourier analysis.” 让我立马收藏此文，好好读读看！
Paper Summary
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futurepress.github.io futurepress.github.io
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The transition is a keen one, I assure you, from a schoolmaster to a sailor, and requires a strong decoction of Seneca and the Stoics to enable you to grin and bear it. But even this wears off in time.
This phrase is typical of Melville's sentence construction. Comparison is the mean and reason is the goal.
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- Oct 2018
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www.poetryfoundation.org www.poetryfoundation.org
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ghosts
These ghosts are representative of past lovers who are haunting her, which is especially disturbing to the speaker because she cannot remember them. Perhaps she cannot remember the past lovers because she was promiscuous rather than trying to find real love. I think Millay chose the word ghost because usually things that haunt you are things that you feel guilty about, and I think Millay feels guilty for her past behavior of being promiscuous.
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A little while, that in me sings no more.
This line also contributes to the overall gloominess of the text because it does not indicate any sort of hope for the future or incline that something will change for the speaker, whether that be her getting her memories back or her companionship and and presumable happiness back. They are saying that they were only happy for a little while and will never be happy again.
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I have forgotten, and what arms have lain
The speaker feels as though she should have deeper associations and more vivid memories of these past experiences.
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I cannot say what loves have come and gone,
The speaker might not know what loves have come and gone; However, she obviously senses on a base level that she was once happy and that she no longer is. The pain in her heart is "quiet" but it is very much present and continuing to hurt the speaker.
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We want to make our model temporally-aware, as furtherinsights can be gathered by analyzing the temporal dy-namics of the user interactions.
sounds exciting
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- Sep 2018
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drive.google.com drive.google.com
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Qualitative analysis
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clark.cs.ucr.edu clark.cs.ucr.edu
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CLARK is a software tool for classifying any type of DNA/RNA sequences
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osf.io osf.io
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Whilespatial biases may contribute to these findings,asnodes belonging to the same module tend to be anatomically colocalized [7,8],they cannot explain these effects entirely [94,95].
Very nice review. Please note the reference [94] (Pantazatos et al.) is misplaced because they did not argue that spatial biases cannot entirely explain the putative links between CGE and functional segregation. Instead, they argued there was insufficient evidence in the original Richiardi et al. study linking elevated CGE with resting state functional networks, and that spatial biases may in fact entirely account for their findings. To describe the debate/exchange more accurately, I would suggest replacing the below sentence
“While spatial biases may contribute to these findings, as nodes belonging to the same module tend to be anatomically colocalized [7,8], they cannot explain these effects entirely [94,95].”
with the below paragraph:
“Spatial biases may contribute to these findings, as nodes belonging to the same module tend to be anatomically colocalized [7,8]. Pantazatos et al. argued that these findings are entirely explained by spatial biases [94]. They showed that elevated CGE, as defined in the original Richiardi et al. study, falls monotonically as longer distance edges are removed. Moreover, they showed that 1,000 sets of randomly spaced modules all have significantly high CGE when using the same null distribution defined in the original Richiardi et al. analyses. Therefore, elevated CGE is not specifically related to functional segregation as defined by resting state functional networks, which is in direct contradiction to the main conclusion of the original Richiardi et al. study. Since randomly placed modules do not align (spatially) with any distributed pattern of functional segregation, the finding of elevated CGE may instead be attributed entirely to anatomical colocalization of the nodes within each module. In their rebuttal to [94], Richiardi et al. argue spatial biases cannot explain their findings entirely [95]. However, the authors do not offer an explanation for significantly high CGE observed for randomly spaced sets of modules, other than to note that nodes tend to be closer on average compared to when modules are defined by resting state fMRI. Future work is required to dissociate the effects of spatially proximity on relationships between CGE and spatially distributed functional networks.”
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- Aug 2018
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www.youtube.com www.youtube.com
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This text analysis that it contains words written in hebrew and deciphering of the first sentence of the text using hebrew translation seems to align with what this author is saying about the text being passed down through the family.
She made recommendations to the priest, man of the house and me and people.
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www.independent.co.uk www.independent.co.uk
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She made recommendations to the priest, man of the house and me and people.
This seems to align with the analysis of Sukhwant Singh
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www.voynich.nu www.voynich.nu
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Comments, questions, suggestions? Your feedback is welcome.
Sukhwant Singh's analysis here seems to fit with a lot of other's partial analysis/observations such as multiple characters representing the same character, certain characters only appearing at the end of words etc. It seems quite compelling. The dates however, are a century too early although that does not necessarily dispel his theory that it is written in Landa Khojki.
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Many "words" differ by only one character and are found in each other's vicinity
This might suggest the same thing as Tiltman's analysis in that a single character may take several forms.
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Tiltman treats f as a variant form of k and p as a variant form of t
When learning that there were over 100 characters used in the manuscript my first thought was that perhaps variations of a character were used to represent the same character.
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Speaking generally, each character behaves as if it has its own place in an 'order of precedence' within words; some symbols such as o and y seem to be able to occupy two functionally different places.
This is very interesting. It seems to suggest that each word may be scrambled based on the characters used.
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archive.org archive.org
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Here is a documentary on the Voynich Manuscript published in 2014.
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www.futurelearn.com www.futurelearn.com
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You might have seen the hashtag #BlackLivesMatter in the previous step. In this 6-minute video, #BlackTwitter after #Ferguson, we meet activists who were involved in the movement and learn about their own uses of Twitter as a platform of protest. Hashtags, when used like this, can be extremely complex in the way they represent ideas, communities and individuals.
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course-computational-literary-analysis.netlify.com course-computational-literary-analysis.netlify.com
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The smile passed away from Gabriel’s face. A dull anger began to gather again at the back of his mind and the dull fires of his lust began to glow angrily in his veins
There seems to be a lot of sharp turns in the mood of the main characters in the story; not long ago Gabriel had been "trembling with delight at her sudden kiss", I wonder if we could see such a pattern of highs followed by significant lows by doing a sentiment analysis on the stories in Dubliners. On the other hand, Gabriel strongly reminds me of Mr. Hammond in Mansfield's The Stranger, as his solicitude, anxiety regarding women, and overprotected-ness of his wife is emphasized several times throughout this story, and in the end a dead man also drives the wedge between the couple.
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No memory of the past touched him, for his mind was full of a present joy.
There's a quick (and almost absurd) change in mood where just in the previous paragraph he was sad when thinking about life; I'm guessing that there will be a fairly steep slope here if we do a sentiment analysis.
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- Jul 2018
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course-computational-literary-analysis.netlify.com course-computational-literary-analysis.netlify.com
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Then she dried her eyes and went over to the looking-glass. She dipped the end of the towel in the water-jug and refreshed her eyes with the cool water. She looked at herself in profile and readjusted a hairpin above her ear. Then she went back to the bed again and sat at the foot. She regarded the pillows for a long time and the sight of them awakened in her mind secret, amiable memories. She rested the nape of her neck against the cool iron bed-rail and fell into a reverie. There was no longer any perturbation visible on her face.
Polly's actions here could be analyzed by extracting the past tense verbs. She seemed to fall into a reverie of the future. Perhaps we could weigh her actions with regard to Mr.Doran's to penetrate what they genuinely expect from the affair.
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NORTH RICHMOND STREET, being blind, was a quiet street except at the hour when the Christian Brothers’ School set the boys free
This first sentence already raises some questions. What does it mean for North Richmond Street to be "blind" (sightless?)? And why is the Christian Brothers' School characterized as a prison from which boys are "set free"? We could explore the second question further by creating concordances and collocations with words associated with freedom and captivity.
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peaceful and resigned
James Joyce played around with adjectives for the corpse of the late Father. He described his face as 'very truculent, grey and massive, with black cavernous nostrils and circled by a scanty white fur' a few lines before, but here, he turned the whole picture around completely!
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We pleased ourselves with the spectacle of Dublin’s commerce—the barges signalled from far away by their curls of woolly smoke, the brown fishing fleet beyond Ringsend, the big white sailing-vessel which was being discharged on the opposite quay. Mahony said it would be right skit to run away to sea on one of those big ships and even I, looking at the high masts, saw, or imagined, the geography which had been scantily dosed to me at school gradually taking substance under my eyes. School and home seemed to recede from us and their influences upon us seemed to wane.
The narrator's description of the commercial ships, and his fantasy of sailing away from Dublin, briefly suspend the narrative, creating a temporal and spatial expansiveness that pressures the story's geographic containment. It would be interesting to track and investigate the language of imagination and fantasy throughout Dubliners with a concordance and collocations.
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I wished to go in and look at him but I had not the courage to knock. I walked away slowly along the sunny side of the street, reading all the theatrical advertisements in the shopwindows as I went. I found it strange that neither I nor the day seemed in a mourning mood and I felt even annoyed at discovering in myself a sensation of freedom as if I had been freed from something by his death. I wondered at this for, as my uncle had said the night before, he had taught me a great deal. He had studied in the Irish college in Rome and he had taught me to pronounce Latin properly. He had told me stories about the catacombs and about Napoleon Bonaparte, and he had explained to me the meaning of the different ceremonies of the Mass and of the different vestments worn by the priest. Sometimes he had amused himself by putting difficult questions to me, asking me what one should do in certain circumstances or whether such and such sins were mortal or venial or only imperfections.
Packed with mixed feelings of curiosity, fear, deferral, confusion, irritation, freedom, and reminiscing, this passage suggests that the narrator's relationship with the late Father Flynn is far more complicated (and perhaps troubling) than meets the eye. The language of this excerpt is ripe for close reading, but we could also explore it computationally by calculating pronoun frequencies (i.e., how often "he" and "him" appear compared to "I" and "me"), and by performing a sentiment analysis in a Jupyter notebook. It would be interesting to compare one's close readings with the results of a computer-generated sentiment analysis.
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f1000research.com f1000research.com
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Amendments from Version 1
For a blog post commenting on an earlier draft of this article (many points raised remain relevant) see here.
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globalvoices.org globalvoices.org
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Then I used Gephi, another free data analysis tool, to visualize the data as an entity-relationship graph. The coloured circles—called Nodes—represent Twitter accounts, and the intersecting lines—known as Edges—refer to Follow/Follower connections between accounts. The accounts are grouped into colour-coded community clusters based on the Modularity algorithm, which detects tightly interconnected groups. The size of each node is based on the number of connections that account has with others in the network.
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Using the open-source NodeXL tool, I collected and imported a complete list of accounts tweeting that exact phrase into a spreadsheet. From that list, I also gathered and imported an extended community of Twitter users, comprised of the friends and followers of each account. It was going to be an interesting test: if the slurs against Nemtsov were just a minor case of rumour-spreading, they probably wouldn't be coming from more than a few dozen users.
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course-computational-literary-analysis.netlify.com course-computational-literary-analysis.netlify.com
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Even Charlotte and the girls were too much for him to-night. They were too... too... But all his drowsing brain could think of was—too rich for him.
I'm curious about what we would find by tracking the word "too" across the entire Mansfield short story corpus, mainly with word counts, word collocations, and n-grams. My hypothesis would be that the word "too" appears most frequently (perhaps exclusively) in stories with thematics of excess, both material and immaterial.
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Out came the thin, butter-yellow watch again, and for the twentieth—fiftieth—hundredth time he made the calculation.
The watch is a recurring motif in this story. And time after time the 'thin', 'butter-yellow' aspects of the watch were underscored. And here Katherine demonstrated a peculiar use of the token '----' , maybe she used it in consistence with her other stories such as The Garden Party.
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shrewd grey
The author devoted a lot of beautiful adjectives to delineate Mr.Hammond's glance: 'quick', 'eager', 'nervous', 'shrewd', and so on. Maybe fetching those words would facilitate our understanding of this character.
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“Dreadfully sweet!
There is definitely a lot negative sentiment in this narrative. It would be interesting to do a sentiment analysis with this story and the Garden Party, which seems to have more a positive connotation. I would be interested in seeing which turns out to be the more negative of the two.
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There came a little rustle, a scurry, a hop.
There have been some interesting verbs in the narrative thus far, especially this little cluster here. While the use of verbs has been frequent, the verbs them self have been some what gentle and not aggressive or assertive. I would be interested in performing a word frequency analysis to gather all the verbs, followed by a sentiment analysis to see if they are congruent with this theme of gentle submission / obedience which arises in the text.
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Meringues
The recurrence of "meringues" until this point warrants further examination. In addition to tracing this motif and performing contextual analyses, we can use word collocations and concordances to better understand the physical and figurative resonances of this dessert. This reading could then feed into a broader analysis of all of the story's ingestible substances.
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How strange! She looked up at the pale sky, and all she thought was, “Yes, it was the most successful party.”
There is no denying that Laura thinks a party with the dead is not a successful party. So I supposed that it is a verbal irony. There are also many ironies in The Moonstone. How can we track the irony through a computational method? I think this example of irony gives me an inspiration. There are some passive words which indicate the meaning that is ostensibly expressed in this paragraph, but "the most successful" are positive words. The strong contrast can be a typical symbol for the computer to recognize irony.
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The very smoke coming out of their chimneys was poverty-stricken. Little rags and shreds of smoke, so unlike the great silvery plumes that uncurled from the Sheridans’ chimneys. Washerwomen lived in the lane and sweeps and a cobbler, and a man whose house-front was studded all over with minute bird-cages. Children swarmed.
A comparison of the smoke that came out of the chimneys brings about a pathetically stark contrast of the socioeconomic lives of people who lived in such proximity. Perhaps an extraction of the adjectives used to describe their chimney smokes could better demonstrate the differences.
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“My dear!” trilled Kitty Maitland
The author implements zoomorphism, using the sound of birds to describe how the characters talk: Jose "cooed" liked a dove, Kitty Maitland "trilled" like a warbler, and "'Tuk-tuk-tuk,' clucked cook like an agitated hen." The author also uses a lot of adverbs to modify other verbs, such as "oily", "meaningly", "fondly", etc, I think we could run a parts of speech analysis on the contrast of ways of behaviour between characters from the Sheridan household and the village.
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course-computational-literary-analysis.netlify.com course-computational-literary-analysis.netlify.com
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beyond any reasonable doubt
With this key phrase of legal discourse, Cuff's takes on the role of a prosecutor in a courtroom, shouldering the burden of proof in the case at hand. What is the relationship between detective work and legal argumentation? How does the novel's language put various characters on trial, not only before other characters, but also before the novel's jury of readers? A word collocation analysis of words and phrases with legal significance would help us to determine whether or not legal language shapes standards of evidence in The Moonstone.
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laudanum,
Aw we have discussed before in class, there is a motif of addictive substances, like opium, alcohol and laudanum. It would be interesting to do a word collocation/concordance to in what context these substance arise. I would also be interesting in creating a network of the characters based on these substance to see which characters share the same bad habits!
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Here, again, there is a motive under the surface; and, here again, I fancy that I can find it out.
Once again, we encounter the language of detective work, which often involves the uncovering and probing of underlying motives. What distinguishes Betteredge's "detective fever" from Ezra Jennings's understanding of detection? We could operationalize this comparative question into a word collocation study of target words that are associated with detective work (e.g., "detective," "suspect," "motive," etc.).
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The chance of searching into the loss of the Moonstone, is the one chance of inquiry that Rachel herself has left me.”
Throughout his narrative Blake repeatedly links the mention of Rachel to the mention of the Moonstone / Diamond. I would be interested in running a word colocation / frequency analysis to see how often this happens in Blake's narrative and throughout the rest of the text. It may also be worth while to do a sentiment analysis and see what the tone is for each mention based on which narrative it came occurred in.
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The picture presented of me, by my old friend Betteredge, at the time of my departure from England, is (as I think) a little overdrawn. He has, in his own quaint way, interpreted seriously one of his young mistress’s many satirical references to my foreign education; and has persuaded himself that he actually saw those French, German, and Italian sides to my character, which my lively cousin only professed to discover in jest, and which never had any real existence, except in our good Betteredge’s own brain. But, barring this drawback, I am bound to own that he has stated no more than the truth in representing me as wounded to the heart by Rachel’s treatment, and as leaving England in the first keenness of suffering caused by the bitterest disappointment of my life.
Although the novel has already suggested that Betteredge is an unreliable narrator, Franklin Blake's explicit refutation of specific points in the First Period account corroborates the faultiness of Betteredge's perspective. Whom should we trust? Maybe a comparative sentiment analysis of Betteredge and Blake's accounts would allow us to test Blake's claim that Betteredge has "overdrawn" his narrative and interpreted passing references too "seriously."
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And what of that?–you may reply–the thing is done every day. Granted, my dear sir. But would you think of it quite as lightly as you do, if the thing was done (let us say) with your own sister?
Mathew Bruff carefully anticipates the reader's objections, and tries to persuade him ("my dear sir") to reconsider his assessment of Godfrey Ablewhite. To better understand how and why The Moonstone's various narrators directly address readers, we could run a word collocation analysis and/or a sentiment analysis on each moment that features a narrator addressing a reader. Then, we would be informed enough to speculate about the extent to which such addresses prove effective.
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There had once been an occasion, under somewhat similar circumstances, when Miss Jane Ann Stamper had been taken by the two shoulders and turned out of a room. I waited, inspired by HER spirit, for a repetition of HER martyrdom
Now that we have a woman narrator, I would be interested to performing a sentiment analysis and compare Miss Clack with Mr. Betteredge and the words they use to describe the female characters in the story in addition to the overall differences in word use and phrasing. It would also make for an interesting study about the author and his ability to create distinct voices for each character.
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witnessed
As we evaluate the many forms of "evidence" that the novel presents, we should ask ourselves how important or meaningful eyewitness accounts are in relation to testimonies, object clues, hearsay, and characters' inferences. An evidence network would allow us to visualize how information interacts and spreads, and modify our epistemological questions and detective work accordingly.
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Whether the letter which Rosanna had left to be given to him after her death did, or did not, contain the confession which Mr. Franklin had suspected her of trying to make to him in her life-time, it was impossible to say.
Letters have been used throughout the text to add detail and action to the narrative. It would be interesting to create some kind of network connecting the senders and receivers of the letters and see which characters are the receivers and relayers of the information they provide. I would imagine Mr. Betteridge would be a major hub, but I think it would be interesting to see how they all connect and relate.
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Being restless and miserable, and having no particular room to go to, I took a turn on the terrace, and thought it over in peace and quietness by myself. It doesn’t much matter what my thoughts were. I felt wretchedly old, and worn out, and unfit for my place–and began to wonder, for the first time in my life, when it would please God to take me. With all this, I held firm, notwithstanding, to my belief in Miss Rachel. If Sergeant Cuff had been Solomon in all his glory, and had told me that my young lady had mixed herself up in a mean and guilty plot, I should have had but one answer for Solomon, wise as he was, “You don’t know her; and I do.”
The twists and turns in the investigation had exhausted Mr.Betteredge, but hadn't worn out his faith in Miss Rachel. Despite his awfully miserable feeling at Miss Rachel's being suspected, his belief in Miss Rachel never wavered. It's interesting how Betteredge's acquaintance with the suspect varied his viewpoint. Was his belief blinded by his familiarity with Miss Rachel? Was it a "human infirmity" that Mr.Betteredge tended to protect Miss Rachel? It appears necessary to analyze Betteredge's attitudes towards Miss Rachel to evaluate his statement of Miss Rachel's innocence here.
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I began to feel a little uneasy. There was something in the way Penelope put it which silenced my superior sense. I called to mind, now my thoughts were directed that way, what had passed between Mr. Franklin and Rosanna overnight. She looked cut to the heart on that occasion; and now, as ill-luck would have it, she had been unavoidably stung again, poor soul, on the tender place. Sad! sad!–all the more sad because the girl had no reason to justify her, and no right to feel it.
Betteredge's demonstrative narrative here appeals to me. All along the way, the old man had been high up above, examining Rosanna's affections towards Mr.Franklin from behind the veils. However, the quiet stolidity of Rosanna described by his daughter "silenced" his "superiority sense". Not only that Rosanna had been stung in the tenderest chamber of her heart, but also her lack of justification of her feelings, had aroused the melancholy sense. I would be intrigued to analyze the turn of Betteredge's feelings towards Rosanna, as revealed here for an instance. Additionally, the old man's stereotypes towards Rosanna might be linked to class prejudice, since she was a mere servant in the house.
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Penelope fired up instantly. “I’ve never been taught to tell lies Mr. Policeman!–and if father can stand there and hear me accused of falsehood and thieving, and my own bed-room shut against me, and my character taken away, which is all a poor girl has left, he’s not the good father I take him for!”
Penelope has been a compelling and independent character throughout the narrative, from the ways in which she gives insight to the narrative itself , to this moment here. It would be interesting to extract her character descriptions and speech and compare it to the other female characters in the story to see how they are different / similar. I would also be interested in comparing her to the male characters. Would this be something the sentiment analysis could be used for?
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- Jun 2018
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www.youtube.com www.youtube.com
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Analyzing and Modeling Time Series Gene Expression with STEM and DREM
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- May 2018
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www.irrodl.org www.irrodl.org
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Over half of the respondents (54%) reported not purchasing a required textbook at least once (see Figure 2). Bivariate correlations revealed that these individuals were more likely to hold a student loan [r(307) = .16, p =.01] and be working more hours per week [r(254) = .13, p = .05].
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www.gutenberg.org www.gutenberg.org
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one hand was stretched out, seemingly to detain me,
There is so much misunderstanding! It is far more likely the monster was reaching for his father creator. In a way, he was just born. Victor is all he knows.
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while a grin wrinkled his cheeks.
The monster seems happy to see his creator. It's what Victor wanted. The creature is grateful for life. Yet, Victor isn't by any means pleased by this.
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A new species would bless me as its creator and source; many happy and excellent natures would owe their being to me.
There it is, Victor wants to be a creator of new life. He wants to be a god. He does not seem to realize however everything that role would entail.
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Darkness had no effect upon my fancy, and a churchyard was to me merely the receptacle of bodies deprived of life, which, from being the seat of beauty and strength, had become food for the worm.
Victor thinks very logically about everything and tries to take a common-sense approach to anything he seems to come across. Most people are irked by graveyards and dead bodies, but to Victor- it isn't anything more than that. What I find interesting though is his disbelief in the supernatural. He wants to reanimate the dead and create new life, how then, does he not believe in ANYTHING supernatural?
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Thus ended a day memorable to me; it decided my future destiny
And this is where it all seems to go downhill for him. Does he look back at the day with remorse? Does he look back at it with a reminiscent air? It's hard to tell, but I think it might be both.
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creation.
Creation is the very basis of religion. If you find a way to mimic creation, you become closer to a god.
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Such were the professor’s words—rather let me say such the words of the fate—enounced to destroy me.
The professor seems to mimic Victor's intense obsession with the idea of altering nature and playing god. He may not want to actually do it, unlike Victor, but he may still be interested in how it would work.
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It was a strong effort of the spirit of good, but it was ineffectual. Destiny was too potent, and her immutable laws had decreed my utter and terrible destruction.
Destiny and Nature fight within Victor's mind over what's "right". Destiny is encouraging Victor to continue on to his pursuits of reanimating the dead as she wants to destroy Victor. Nature wants Victor to leave her alone, let her preside over things the way they are supposed to be. Though Nature is correct and following this path will ultimately lead Victor to safety- Destiny is far more alluring and attractive, fooling Victor into the terrible trap she has laid.
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Wealth was an inferior object, but what glory would attend the discovery if I could banish disease from the human frame and render man invulnerable to any but a violent death!
He claims to be in awe of those who "know" Nature and all of her secrets and implies that he wants to be like them. Yet, here he seems to want to twist and defile nature rather than know her for what she really is. He wants to change the most universal truth about nature (death), as if trying to fix it rather than trusting Nature to do her job.
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I was their plaything and their idol, and something better—their child, the innocent and helpless creature bestowed on them
His parents loved their "creation" with everything that they had. They saw this "innocent and helpless creature" and gave him everything he could need and more. Victor had nothing but remorse for his own "innocent and helpless creature". In a way, the creation is Victor's own child. Victors' expression of love, affection, and passion differ greatly from that of his parents.
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