231 Matching Annotations
  1. Jan 2018
  2. doc-0g-c0-docs.googleusercontent.com doc-0g-c0-docs.googleusercontent.com
    1. In particular, the FCC’s action today has restored the jurisdiction of the Federal Trade Commission to act when broadband providers engage in anticompetitive, unfair, or deceptive acts or practices.

      The FCC has has changed an act that has been unfair for many people who pay for the internet.

  3. Oct 2017
  4. Sep 2017
    1. Let Σ0be a compact strictly convex hypersurface inRn,Xbe the position vector ofa point on Σ0, and letNbe the unit outward normal of Σ0atX. Let Σrbe the convexhypersurface described byY=X+rN, withr≥0. The Euclidean space outside Σ0canbe represented by(Σ0×(0,∞),dr2+gr)wheregris the induced metric on Σr. Consider the following initial value problem(2.1)2H0∂u∂r= 2u2∆ru+ (u−u3)Rron Σ0×[0,∞)u(x,0) =u0(x)whereu0(x)>0 is a smooth function on Σ0,H0andRrare the mean curvature and scalarcurvature of Σrrespectively, and ∆ris the Laplacian operator on Σr.

      Note que de agora em diante o autor se detém a estudar esse caso particular, onde estão inteiramente determinadas as geometrias intrínseca e extrínseca das folhas do semi cilindro, obtido folheando-se pelas paralelas o exterior da hipersuperfície estritamente convexa dada a priori.

    2. Given a functionRonN, we want to find the equation forusuch that(1.2)ds2=u2dρ2+gρhas scalar curvatureR.

      O papel da aplicação \( u: N \longrightarrow \mathbb{R} \) é distorcer as fibras do semi cilindro \( N \), por dilatações e torções, deixando a geometria intrínseca das folhas invariante, de tal forma que o resultado seja um semi cilindro com a curvatura escalar prescrita \( \mathcal{R} \).

    3. Let Σ be a smooth compact manifold without boundary with dimensionn−1 and letN= [a,∞)×Σ equipped with a Riemannian metric of the form(1.1)ds20=dρ2+gρfor a point (ρ,x)∈N. Heregρis the induced metric on Σρwhich is the level surfaceρ=constant

      Isso significa que a construção a seguir é feita a partir de um semi cilindro em que a geometria das folhas é dada a priori.

      Esse artigo não trata da construção desse semi cilindro inicial.

  5. May 2017
  6. Apr 2017
  7. Jan 2017
    1. Educators must work together to ensure that every American young person has access to theskills and experiences needed to become a full participant, can articulate their understanding of

      The shift in generations and their view on the media is very clear. When I was in school (not college) we would stray away from the use of technology and media. Now, you see elementary and middle school students with laptops.

  8. Jul 2016
    1. Think of all the hard work and the sweat you put in to the things that your proudest of.

      Always feels good to say, "I worked out today!"

  9. Mar 2016
    1. Begg, C. B., & Berlin, J. A. (1988). Publication bias: A problem in interpreting medical data.Journal of theRoyal Statistical Society A, 151, 419–463.
    2. Gerber, A. S., & Malhotra, N. (2008). Publication bias in empirical sociological research: Do arbitrarysignificance levels distort published results?Sociological Methods & Research, 37, 3–30
    3. Gilbody, S. M., Song, F., Eastwood, A. J., & Sutton, A. (2000). The causes, consequences and detection ofpublication bias in psychiatry.Acta Psychiatrica Scandinavica, 102, 241–249
    4. Kennedy, D. (2004). The old file-drawer problem.Science, 305, 45
    5. Koletsi, D., Karagianni, A., Pandis, N., Makou, M., Polychronopolou, A., & Eliades, T. (2009). Are studiesreporting significant results more likely to be published?American Journal of Orthodontics andDentofacial Orthopedics, 136, 632e1

      positive

    6. Krzyzanowska, M. K., Pintilie, M., & Tannock, I. F. (2003). Factors associated with failure to publish largerandomized trials presented at an oncology meeting.Journal of the American Medical Association,290, 495–501
    7. Levine, T., Asada, K. J., & Carpenter, C. (2009). Sample sizes and effect sizes are negatively correlated inmeta-analyses: Evidence and implications of a publication bias against non-significant findings.Communication Monographs, 76, 286–302
    8. Rosenthal, R. (1979). The file drawer problem and tolerance for null results.Psychological Bulletin, 86,638–641

      p

    9. Song, F. J., Parekh-Bhurke, S., Hooper, L., Loke, Y. K., Ryder, J. J., Sutton, A. J., et al. (2009). Extent ofpublication bias in different categories of research cohorts: A meta-analysis of empirical studies.BMCMedical Research Methodology, 9, 79
    10. Sterling, T. D. (1959). Publication decisions and their possible effects on inferences drawn from tests ofsignificance—Or vice versa.Journal of the American Statistical Association, 54, 30–34

      publication bias

    1. Pautasso, M. (2010). Worsening file-drawer problem in the abstracts of natural, medical and social sciencedatabases.Scientometrics, 85(1), 193–202
    2. Silvertown, J., & McConway, K. J. (1997). Does ‘‘publication bias’’ lead to biased science?Oikos, 79(1),167–168.
    3. Jeng, M. (2006). A selected history of expectation bias in physics.American Journal of Physics, 74(7),578–583

      History of expectation bias in physics

    4. Ioannidis, J. P. A. (2008a). Perfect study, poor evidence: Interpretation of biases preceding study design.Seminars in Hematology, 45(3), 160–166

      effect of positive bias

    5. Feigenbaum, S., & Levy, D. M. (1996). Research bias: Some preliminary findings.Knowledge and Policy:The International Journal of Knowledge Transfer and Utilization, 9(2 & 3), 135–142.

      Positive bias

    6. Song, F., Parekh, S., Hooper, L., Loke, Y. K., Ryder, J., Sutton, A. J., et al. (2010). Dissemination andpublication of research findings: An updated review of related biases.Health Technology Assessment,14(8), 1–193. doi

      positive bias

    1. But there’s, I think there is a question of how you interpret the data, even ... ifthe experiments are very well designed. And, in terms of advice—not that I’mgoing to say that it’s shocking—but one of my mentors, whom I very muchrespect as a scientist—I think he’s extraordinarily good—advised me to alwaysput the most positive spin you can on your data. And if you try to present, like,present your data objectively, like in a job seminar, you’re guaranteed tonotgetthe job

      Importance of "spinning" data

    2. You are. And you know what the problems are in doing the experiments. And ifyou, in your mind, think that there should be one more control—because youknow this stuff better than anybody else because you’re doing it, you know—you decided not to do that, not to bring up what the potential difficulties are, youhave a better chance of getting that paper published. But it’s—I don’t think it’sthe right thing to do.

      deliberate positive bias

  10. Dec 2015
    1. Lemma 2.3.(2.1) has a unique solutionufor allrwhich satisfies the estimates in Lemma2.2.
    2. Let Σ0be a smooth compact strictly convex hypersurface inRn. Letrbe the distance function from Σ0. Then the metric on the exteriorNof Σ0is given bydr2+gr, wheregris the induced metric on Σr, which is the hypersurface with distancerfrom Σ0. The functionuwith prescribed scalar curvatureR= 0 is given by2H0∂u∂r= 2u2∆ru+ (u−u3)RrwhereH0is the mean curvature of Σr,Rris the scalar curvature of ΣrandR0is the scalarcurvature of Σrwith the induced metric fromRnand ∆ris the Laplacian on Σr.
  11. May 2015
    1. The bias was first identified by the statistician Theodore Sterling, in 1959, after he noticed that ninety-seven per cent of all published psychological studies with statistically significant data found the effect they were looking for.

      That is rather outrageous that we've known about this since 1959 and have done nothing about it.