77 Matching Annotations
  1. Last 7 days
    1. Williamson, E. J., Walker, A. J., Bhaskaran, K., Bacon, S., Bates, C., Morton, C. E., Curtis, H. J., Mehrkar, A., Evans, D., Inglesby, P., Cockburn, J., McDonald, H. I., MacKenna, B., Tomlinson, L., Douglas, I. J., Rentsch, C. T., Mathur, R., Wong, A. Y. S., Grieve, R., … Goldacre, B. (2020). OpenSAFELY: Factors associated with COVID-19 death in 17 million patients. Nature, 1–11. https://doi.org/10.1038/s41586-020-2521-4

    1. Acknowledgments

      ”Blasphemy” and “irony” are mentioned--and continued through Kafer--to connote less math and masculinity and more--frankly--code, spoken from reclaimed empowerment. I couldn’t digest Haraway’s prose--within the coming Information Age she concentrates a lot of terms like machine parts herself--”Star Wars,” “Magic Mountain,” even “goddess” (Haraway 57). I wished for her own Dictionary.com to identify what these references meant to her.

      Did she mean to confound us for shock-factor’s sake? Because within her text that I could decipher I felt a postgendered, post-species, colorblind coalition that I couldn’t fully find affinity within, as much as the vague image of the Cyborg tantalizes me. For unity did she mean to catalyze divisiveness through language?

  2. Jul 2020
  3. Jun 2020
    1. Start the branching with 4 powers of 2: 20, 21, 22 and 23

      We branch with these powers because the prime factorization has \(2^3\). If it were instead \(2^5\), we would branch with \(2^0\), \(2^1\), \(2^2\), \(2^3\), \(2^4\), and \(2^5\), and we would have a branching factor of 6.

    1. Clark, A., Jit, M., Warren-Gash, C., Guthrie, B., Wang, H. H. X., Mercer, S. W., Sanderson, C., McKee, M., Troeger, C., Ong, K. L., Checchi, F., Perel, P., Joseph, S., Gibbs, H. P., Banerjee, A., Eggo, R. M., Nightingale, E. S., O’Reilly, K., Jombart, T., … Jarvis, C. I. (2020). Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: A modelling study. The Lancet Global Health, S2214109X20302643. https://doi.org/10.1016/S2214-109X(20)30264-3

  4. May 2020
    1. Banna, H. A., Sayeed, A., Kundu, S., Christopher, E., Hasan, M. T., Begum, M. R., Dola, T. I., Hassan, M., Chowdhury, S., & Khan, S. I. (2020). The impact of the COVID-19 pandemic on the mental health of the adult population in Bangladesh: A nationwide cross-sectional study [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/chw5d

  5. Apr 2020
    1. Although it can be inconvenient, the two-factor authentication is the easiest and best way to keep your accounts from getting hacked. Whenever you log into an account from a new device, it will send an email or a text with a code that you input with your password.
  6. Mar 2020
  7. Jul 2019
  8. Apr 2019
    1. Klotho-deficient mice have accelerated aging phenotypes, whereas overexpression of Klotho in mice extends lifespan. Klotho is an anti-aging single-pass membrane protein predominantly produced in the kidney, with shedding of the amino-terminal extracellular domain into the systemic circulation. Circulating levels of soluble Klotho decrease with age, and the klotho gene is associated with increased risk of age-related diseases. The three forms of Klotho protein have distinct functions. Membrane Klotho forms a complex with fibroblast growth factor (FGF) receptors, functions as an obligatory co-receptor for FGF23, which is involved in aging and the development of chronic diseases via regulation of Pi and vitamin D metabolism. Secreted Klotho functions as a humoral factor with pleiotropic activities including regulation of oxidative stress, growth factor signaling, and ion homeostasis. Secreted Klotho is also involved in organ protection. The intracellular form of Klotho suppresses inflammation-mediated cellular senescence and mineral metabolism. Herein we provide a brief overview of the structure and function and recent research about Klotho.
  9. Jan 2019
    1. Adipose tissue is no longer considered to be an inert tissue that stores fat. This tissue is capable of expanding to accommodate increased lipids through hypertrophy of existing adipocytes and by initiating differentiation of pre-adipocytes. Adipose tissue metabolism exerts an impact on whole-body metabolism. As an endocrine organ, adipose tissue is responsible for the synthesis and secretion of several hormones. These are active in a range of processes, such as control of nutritional intake (leptin, angiotensin), control of sensitivity to insulin and inflammatory process mediators (tumor necrosis factor α (TNF-α), interleukin-6 (IL-6), resistin, visfatin, adiponectin, among others) and pathways (plasminogen activator inhibitor 1 (PAI-1) and acylation stimulating protein (ASP) for example). This paper reviews some of the biochemical and metabolic aspects of adipose tissue and its relationship to inflammatory disease and insulin resistance.
    1. 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.

    2. 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.

    3. 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.

    4. 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/

  10. May 2018
  11. Jun 2017
    1. Furthermore, the JIF –in its normalized variant –seems to differentiate more or less successfully between promising and uninteresting candidates not only in the short term, but also in the long term.

      Except that the effect sizes are too small for them to be credible in the absence of pre-registration of this hypothesis.

  12. Mar 2017
    1. She was the same person. But her situation—her environment—was different, so she acted differently.
    2. No, one afternoon, she rearranged her office. Now, when people came to see her, she had to turn completely around to face them. Her computer was totally out of sight. No more email temptation.
  13. Jan 2017
    1. Eric Poole – Age 33 Sales Manager – Visalia, CA Eric had only been working out sporadically off-and-on for a year. Nothing serious. Then he saw what I and some of my other clients had done with the Bulgarian system and he wanted to be a part of. When he began, he could only bench press 175 pounds for three reps maximum. Four weeks later, he was bench pressing 315 pounds! His squats went from 190 pounds (5 reps max) to 265 pounds.


    2. Bob Pierce – Age 20 College football player – Tulare, CA Bob started this program weighing 234 pounds (his heaviest weight ever), but he desperately needed to gain more weight for his lineman position on the football team. He had already tried lots of other systems for putting on weight and muscle mass, but nothing seemed to work. What's more, he had been training for over 5 years, which means his body was near its peak–and that's why he was having trouble putting on lean meat. (Or so he thought.) I put him on the Bulgarian system and in only 10 weeks, Bob gained 20 pounds of new muscle, with no increase in body fat! His bench press went from 315 pounds to 415 pounds in only 10 weeks. His legs don't fit into his old blue jeans anymore, and his friends at the gym swear he must be on steroids. (He's not. I don't allow any of my clients to use steroids.)


  14. Mar 2016
    1. De Rond, M., & Miller, A. N. (2005). Publish or perish—Bane or boon of academic life?Journal ofManagement Inquiry, 14(4), 321–329. doi:

      On how increased pressure to publish diminishes creativity.

    2. Atkin, P. A. (2002). A paradigm shift in the medical literature.British Medical Journal, 325(7378),1450–1451

      On the rise of sexy terms like "paradigm shift" in abstracts.

    3. Bonitz, M., & Scharnhorst, A. (2001). Competition in science and the Matthew core journals.Sciento-metrics, 51(1), 37–54

      Matthew effect

    1. To publish. And sometimes publish in the right journals.... In my discipline ...there’s just a few journals, and if you’re not in that journal, then yourpublication doesn’t really count

      Importance of "top" journals

    1. Editors, Publishers, Impact Factors, and Reprint Income

      On the incentives for journal editors to publish papers they think might improve IF... and how citations are gamed.

  15. Jul 2015
    1. based on a scientific analysis of citation data

      JIF is discredited in many reviews. See for example http://dx.doi.org/10.3389/fnhum.2013.00291. A recent independent review of metrics for the Higher Education Funding Council for England also strongly recommended against the use of measures like JIF: http://www.hefce.ac.uk/pubs/rereports/Year/2015/metrictide/

  16. May 2015
    1. Surprisingly, even publications in prestigious journals or from several independent groups did not ensure reproducibility.

      This seems to be at least one reproducible result!