2,471 Matching Annotations
  1. May 2020
    1. Qualitative Research is primarily exploratory research. It is used to gain an understanding of underlying reasons, opinions, and motivations. It provides insights into the problem or helps to develop ideas or hypotheses for potential quantitative research.
    1. sci-hub is a service that lets you access research papers for free. It’s not quuiiiiiiiiite legal, but buying papers is super expensive, like fifty dollars per paper. Not something I can afford, and I think the entire industry is evil anyway.

      Good point on the research industry & Sci-Hub

    1. First things first, I am new to emacs and the eco system so there are packages I’m not aware of.

      emacs is pretty much an operating system. This makes it infinitely configurable and hard for new comers to grok.

    1. Ross-Hellauer, T., Tennant, J. P., Banelytė, V., Gorogh, E., Luzi, D., Kraker, P., Pisacane, L., Ruggieri, R., Sifacaki, E., & Vignoli, M. (2020). Ten simple rules for innovative dissemination of research. PLOS Computational Biology, 16(4), e1007704. https://doi.org/10.1371/journal.pcbi.1007704

    1. Dr. Julie Schwartz Gottman, John was also the Executive Director of the Relationship Research

      Affective Software, Inc. with his wife, Dr. Julie Schwartz Gottman, John was also the Executive Director of the Relationship Research Institute. He is Professor Emeritus of Psychology at the University of Washington, where he founded “The Love Lab” at which much of his research on couples’ interactions was conducted. To read more about Dr. Gottman’s research, check out this page for interesting questions and

    1. Simulations show that for most study designs and settings, it is more likely for a research claim to be false than true.
    2. There is increasing concern that most current published research findings are false.

      The probability that the research is true may depend on:

      • study power
      • bias
      • the number of other studies on the same question
      • the ratio of true to no relationships among the relationships probed in each scientific field.

      Research finding is less likely to be true when:

      • the studies are conducted in a smaller field
      • effect sizes are smaller
      • there is a greater number and lesser preselection of tested relationships
      • greater flexibility in designs, definition, outcomes and analytical modes
      • greater financial and other interest and prejudice
      • more teams are involved in a scientific field in chase of statistical significance
  2. Apr 2020
    1. Ebbinghaus is also largely credited with drafting the first standard research report. In his paper on memory, Ebbinghaus arranged his research into four sections: the introduction, the methods, the results, and a discussion section. The clarity and organization of this format was so impressive to contemporaries that it has now become standard in the discipline, and all research reports follow the same standards laid out by Ebbinghaus.
    1. Wynants, L., Van Calster, B., Bonten, M. M. J., Collins, G. S., Debray, T. P. A., De Vos, M., Haller, M. C., Heinze, G., Moons, K. G. M., Riley, R. D., Schuit, E., Smits, L. J. M., Snell, K. I. E., Steyerberg, E. W., Wallisch, C., & van Smeden, M. (2020). Prediction models for diagnosis and prognosis of covid-19 infection: Systematic review and critical appraisal. BMJ, m1328. https://doi.org/10.1136/bmj.m1328

    1. Verity, R., Okell, L. C., Dorigatti, I., Winskill, P., Whittaker, C., Imai, N., Cuomo-Dannenburg, G., Thompson, H., Walker, P. G. T., Fu, H., Dighe, A., Griffin, J. T., Baguelin, M., Bhatia, S., Boonyasiri, A., Cori, A., Cucunubá, Z., FitzJohn, R., Gaythorpe, K., … Ferguson, N. M. (2020). Estimates of the severity of coronavirus disease 2019: A model-based analysis. The Lancet Infectious Diseases, S1473309920302437. https://doi.org/10.1016/S1473-3099(20)30243-7

    1. But recent events have made me question the prudence of releasing this information, even for research purposes. The arrest and aggressive prosecution of Barrett Brown had a marked chilling effect on both journalists and security researchers.
    1. This all comes as part of a wider global shift towards more open research practices, and the geochemistry community needs to make sure it is engaging widely with these, as well as connected issues like research integrity and reproducibility, if it is to maintain its relevance in the modern research age.
      • Prinsip utama yang patut menjadi pegangan para peneliti/dosen masa depan adalah: keinginan pribadi (self-driven initiative) untuk menyebar-luaskan berbagai hasil risetnya secara luas.

      • Untuk itu teknologi digital dan internet harus dimanfaatkan dengan maksimal. Seringkali dosen/peneliti melupakan hal ini, bahwa internet ditemukan untuk mempercepat dan memperluas penyebaran ide.

      • Integritas riset dan reprodusibilitas adalah dua nilai yang perlu ditonjolkan agar relevan dengan kemajuan era internet, bukan hanya menonjolkan nama jurnalnya dan JIFnya.

    1. LitCovid: Curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus .t3_fp7epr ._2FCtq-QzlfuN-SwVMUZMM3 { --postTitle-VisitedLinkColor: #9b9b9b; --postTitleLink-VisitedLinkColor: #9b9b9b; } methods and toolshttps://www.ncbi.nlm.nih.gov/research/coronavirus/LitCovid is a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus. It is the most comprehensive resource on the subject, providing a central access to 1724 (and growing) relevant articles in PubMed. The articles are updated daily and are further categorized by different research topics and geographic locations for improved access. You can read more at Chen et al. Nature (2020) and download our data here.
    1. LitCovid is a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus. It is the most comprehensive resource on the subject, providing a central access to 1737 (and growing) relevant articles in PubMed. The articles are updated daily and are further categorized by different research topics and geographic locations for improved access. You can read more at Chen et al. Nature (2020) and download our data here.
  3. Mar 2020
    1. Research in Educational Technology

      This textbook, published by the Oklahoma State University Library ePress, contains a chapter which summarizes the main views of knowledge in educational technology research, including postpositivism, constructivism, advocacy, and pragmatism, as well as each view's research traditions. The chapter suggests an approach to evaluating research articles through the lenses of a consistent learning theory coupled, methodologies that support that learning theory, and the conclusions that are drawn by the researchers supported through their methodologies. This chapter would help educators evaluate how and why they might include technology into their course curriculum. Rating: 7/10

  4. Feb 2020
    1. Ways forward

      The shift from "review article" to "research proposal" article uses a format that I've been trying to promote for quite some time: the call to research format.

    1. Social media research ethics faces a contradiction between big data positivism and research ethics fundamentalism. Big data positivists tend to say, ‘Most social media data is public data. It is like data in a newspaper. I can therefore gather big data without limits. Those talking about privacy want to limit the progress of social science’. This position disregards any engagement with ethics and has a bias towards quantification. The ethical framework Social Media Research: A Guide to Ethics (Townsend and Wallace, 2016) that emerged from an ESRC-funded project tries to avoid both extremes and to take a critical-realist position: It recommends that social scientists neither ignore nor fetishize research ethics when studying digital media.Research ethics fundamentalists in contrast tend to say,You have to get informed consent for every piece of social media data you gather because we cannot assume automatic consent, users tend not to read platform’s privacy policies, they may assume some of their data is private and they may not agree to their data being used in research. Even if you anonymize the users you quote, many can still be identified in the networked online environment.
    2. Research ethics concerns issues, such as privacy, anonymity, informed consent and the sensitivity of data. Given that social media is part of society’s tendency to liquefy and blur the boundaries between the private and the public, labour/leisure, production/consumption (Fuchs, 2015a: Chapter 8), research ethics in social media research is par-ticularly complex.
    3. One important aspect of critical social media research is the study of not just ideolo-gies of the Internet but also ideologies on the Internet. Critical discourse analysis and ideology critique as research method have only been applied in a limited manner to social media data. Majid KhosraviNik (2013) argues in this context that ‘critical dis-course analysis appears to have shied away from new media research in the bulk of its research’ (p. 292). Critical social media discourse analysis is a critical digital method for the study of how ideologies are expressed on social media in light of society’s power structures and contradictions that form the texts’ contexts.
    4. Besides conducting qualitative social research with social media users in order to learn about their experiences, interpretations and perspectives, critical digital methods should not completely discard tools for digital data collection and analytics but take their use into a new direction. Critical digital methods should certainly engage in collecting and analys-ing samples of data from social media platforms with the help of tools and services, such as DiscoverText, Tweet Archivist, Netvizz, NodeXL, Gephi, NCapture/NVivo, Sodato, Import.io, InfoExtractor, Google Web Scraper, TAGS, SocioViz and so on.
    5. t has, for example, been common to study contemporary revolutions and protests (such as the 2011 Arab Spring) by collecting large amounts of tweets and analysing them. Such analyses can, however, tell us nothing about the degree to which activists use social and other media in protest communication, what their motivations are to use or not use social media, what their experiences have been, what problems they encounter in such uses and so on. If we only analyse big data, then the one-sided conclusion that con-temporary rebellions are Facebook and Twitter revolutions is often the logical conse-quence (see Aouragh, 2016; Gerbaudo, 2012). Digital methods do not outdate but require traditional methods in order to avoid the pitfall of digital positivism. Traditional socio-logical methods, such as semi-structured interviews, participant observation, surveys, content and critical discourse analysis, focus groups, experiments, creative methods, par-ticipatory action research, statistical analysis of secondary data and so on, have not lost importance. We do not just have to understand what people do on the Internet but also why they do it, what the broader implications are, and how power structures frame and shape online activities
    6. Studying digital and social media could take inspiration by the tradition going back to Karl Marx and other critical theorists

      A need to think about the context and broader social implications of the research being conducted.

    7. Who communicates what to whom on social media with what effects? It forgets users’ subjectivity, experiences, norms, values and interpre-tations, as well as the embeddedness of the media into society’s power structures and social struggles. We need a paradigm shift from administrative digital positivist big data analytics towards critical social media research. Critical social media research combines critical social media theory, critical digital methods and critical-realist social media research ethics.
    8. de-emphasis of philosophy, theory, critique and qualitative analysis advances what Paul Lazarsfeld (2004 [1941]) termed administrative research, research that is predominantly concerned with how to make technologies and administration more efficient and effective.
    9. There is a tendency in Internet Studies to engage with theory only on the micro- and middle-range levels that theorize single online phenomena but neglect the larger picture of society as a totality (Rice and Fuller, 2013). Such theories tend to be atomized. They just focus on single phenomena and miss soci-ety’s big picture
    1. scientific laboratories create an amazing amount of plastic waste, consume large amounts of water, create risks from hazardous chemicals and use significantly more energy
    1. I use this to keep information about processes that were running at any time during last five days. These are 1-min snapshots so something might get lost but I think it is good enough for me. I want to have some data available when I discover there was a peak in resource usage (I use munin for that). I haven't found a better way to keep track of past processes (tried psacct).
  5. Jan 2020
    1. 0:11 / 12:00LiveScroll for details M2 Research Categorization

      :30 categorization, def. action or process of placing into classes or groups; a system of classes into which something is sorted.

    1. Summarizing a paper in your own words restructures the content to focus on learning rather than novelty.

      In the scientific papers we convey novelty, hence, some of the early readers might confuse themselves that this is the right way to speak in a daily scientific community

    2. Blogging has taught me how to read a paper because explaining something is a more active form of understanding. Now I summarize the main contribution in my own words, write out the notation and problem setup, define terms, and rederive the main equations or results. This process mimics the act of presenting and is great practice for it.

      Why teaching others/blogging has a great value in terms of learning new topics

    3. When I first started teaching myself to program, I felt that I had no imagination. I couldn’t be creative because I was too focused on finding the syntax bug or reasoning about program structure. However, with proficiency came creativity. Programming became less important than what I was building and why.

      While learning, don't worry about the creativity, which shall come after gaining proficiency (knowledge base)

    4. In my opinion the reason most people fail to do great research is that they are not willing to pay the price in self-development. Say some new field opens up that combines field XXX and field YYY. Researchers from each of these fields flock to the new field. My experience is that virtually none of the researchers in either field will systematically learn the other field in any sort of depth. The few who do put in this effort often achieve spectacular results.

      I think we all know that...

    5. Many of us have done this on exams, hoping for partial credit by stitching together the outline of a proof or using the right words in an essay with the hopes that the professor connects the dots for us.

      Often we tend to communicate with a jargon we don't understand just to pretend we know something

  6. www.drugwiki.net www.drugwiki.net
    1. L-T3 has proven to be 4-5 times more biologically active and to take effect more quickly than L-thyroxine (L-T4).

      Will need to check up on that. I recall T4 being less potent.

    1. In almost all cases the genetic basis of RTH lies in mutation of the carboxyl-terminus of the ß-thyroid hormone receptor. RTH is a dominant disorder, except in one family; most individuals are heterozygous for the mutant allele.

      So, given that thyroid hormone resistance does exist, the remaining question is whether it is common enough to explain some cases of CFS or similar conditions. Unfortunately this paper is not in english, but the abstract provides enough information to google more.