Typically when scientists make a measurement, they know exactly what kind of measurement they're making, and their purpose is to obtain a measurement outcome. But in an "unrecorded measurement," both the type of measurement and the measurement outcome are unknown.
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Spinning black holes are capable of complex quantum information processes encoded in the X-ray photons. ... Read more »
Ovidiu Racorean. (2016) Photonic Bell states creation around rotating black holes. ArXiv. arXiv: 1608.06822v1
Mathematics is an important part of modern society. Science and engineering are hard to imagine without mathematics, and even simple things such as calculating the cost of groceries involve mathematics. So, it's not strange to stop and wonder what mathematics is. That turns out to be a very difficult question.... Read more »
Stefan Buijsman. (2016) Philosophy of Mathematics for the Masses: Extending the scope of the philosophy of mathematics. Stockholm: Department of Philosophy, Stockholm University . info:other/978-91-7649-351-9
A new paper in Brain tells the story of attempts to turn brain waves into music. The authors are Bart Lutters and Peter J. Koehler: Brainwaves in concert: the 20th century sonification of the electroencephalogram
Electroencephalography (EEG), a technique for measuring brain electrical activity, was invented by German psychiatrist Hans Berger in 1929. Berger's EEG displayed the recorded activity in the form of graphs, using a mobile pen and a rotating drum of graph paper, but within 5 years,... Read more »
Lutters B, & Koehler PJ. (2016) Brainwaves in concert: the 20th century sonification of the electroencephalogram. Brain. PMID: 27543971
Previously, I have discussed the importance of understanding how fitness is defined in a given model. So far, I’ve focused on how mathematically equivalent formulations can have different ontological commitments. In this post, I want to touch briefly on another concern: two different types of mathematical definitions of fitness. In particular, I will discuss additive […]... Read more »
Wu B, García J, Hauert C, & Traulsen A. (2013) Extrapolating weak selection in evolutionary games. PLoS Computational Biology, 9(12). PMID: 24339769
Today was my presentation day at ECMTB/SMB 2016. I spoke in David Basanta’s mini-symposium on the games that cancer cells play and postered during the poster session. The mini-symposium started with a brief intro from David, and had 25 minute talks from Jacob Scott, myself, Alexander Anderson, and John Nagy. David, Jake, Sandy, and John […]... Read more »
This week, I am at the University of Nottingham for the joint meeting of the Society of Mathematical Biology and the European Conference on Mathematical and Theoretical Biology — ECMTB/SMB 2016. It is a huge meeting, with over 800 delegates in attendance, 308 half-hour mini-symposium talks, 264 twenty-minute contributed talks, 190 posters, 7 prize talks, […]... Read more »
Gog, J.R., Ballesteros, S., Viboud, C., Simonsen, L., Bjornstad, O.N., Shaman, J., Chao, D.L., Khan, F., & Grenfell, B.T. (2014) Spatial Transmission of 2009 Pandemic Influenza in the US. PLoS Computational Biology, 10(6). PMID: 24921923
LHCP2016 is running yet with further analysis on 2015 data by people at CERN. We all have seen the history unfolding since the epochal event on 4 July 2012 where the announcement of the great discovery happened. Since then, also Kibble passed away. What is still there is our need of a deep understanding of the […]... Read more »
Marco Frasca. (2015) A theorem on the Higgs sector of the Standard Model. Eur. Phys. J. Plus (2016) 131: 199. arXiv: 1504.02299v3
"The brain is a three dimensional object." It would seem that this is one of the least controversial facts about the brain, something we can all agree on. But now, in a curious new paper, researchers Arturo Tozzi and James F. Peters suggest that the brain might have an extra dimension: Towards a fourth spatial dimension of brain activity
From topology, a strong concept comes into play in understanding brain functions, namely, the 4D space of a ‘‘hypersphere’s torus’’, undetectable by........ Read more »
Tozzi A, & Peters JF. (2016) Towards a fourth spatial dimension of brain activity. Cognitive neurodynamics, 10(3), 189-99. PMID: 27275375
Abstraction is my favorite part of mathematics. I find a certain beauty in seeing structures without their implementations, or structures that are preserved across various implementations. And although it seems possible to reason through analogy without (explicit) abstraction, I would not enjoy being restricted in such a way. In biology and medicine, however, I often […]... Read more »
Performing the discrete mode of presentation test strongly enhances the salience of the relevant variable, perimeter, and somewhat decreases that of area. This enhancement supports appropriate solution strategies that lead to improved performance. This effect is robust and transfers to continuous mode of presentation for at least 10 days. In line with this conclusion, a student who performed the continuous test after the discrete one commented that, “It [continuous] was harder this time bu........ Read more »
Babai, R., Nattiv, L., & Stavy, R. (2016) Comparison of perimeters: improving students’ performance by increasing the salience of the relevant variable. ZDM, 48(3), 367-378. DOI: 10.1007/s11858-016-0766-z
Last month, Robert Vander Velde discussed a striking similarity between the linear version of our model of two anti-correlated goods and the Haert et al. (2002) optional public good game. Robert didn’t get a chance to go into the detailed math behind the scenes, so I wanted to do that today. The derivations here will […]... Read more »
Artist's depiction of the WMAP satellite gathering data to understand the Big Bang. Source: NASA.For decades physicists have been trying to decipher the first moments after the Big Bang. Using very large telescopes, for example, scientists scan the skies and look at how fast galaxies move. Satellites study the relic radiation left from the Big Bang, called the cosmic microwave background radiation. And finally, particle colliders, like the Large Hadron Collider at CERN, allow researchers to smas........ Read more »
Grohs, E., Fuller, G., Kishimoto, C., Paris, M., & Vlasenko, A. (2016) Neutrino energy transport in weak decoupling and big bang nucleosynthesis. Physical Review D, 93(8). DOI: 10.1103/PhysRevD.93.083522
Working to orient oneself to the symmetries available in mathematical situations seems like one appropriate remedy to what I've called "left-to-rightism," or "cinemathematics"—a syndrome that makes us teach concepts like the equals sign (unwittingly) in a left-to-right way, such that students take away (unwittingly) the misconception that the equals sign indicates that some answer is to follow, rather than that two expressions are equal. Some recent research points........ Read more »
Tsang, J., Blair, K., Bofferding, L., & Schwartz, D. (2015) Learning to “See” Less Than Nothing: Putting Perceptual Skills to Work for Learning Numerical Structure. Cognition and Instruction, 33(2), 154-197. DOI: 10.1080/07370008.2015.1038539
by Robert Vander Velde in Evolutionary Games Group
When I first came to Tampa to do my Masters, my focus turned to explanations of the Warburg effect — especially a recent paper by Archetti (2014) — and the acid-mediated tumor invasion hypothesis (Gatenby, 1995; Basanta et al., 2008). In the course of our discussions about Archetti (2013,2014), Artem proposed the idea of combining two […]... Read more »
Hauert, C., De Monte, S., Hofbauer, J., & Sigmund, K. (2002) Replicator dynamics for optional public good games. Journal of Theoretical Biology, 218(2), 187-194. PMID: 12381291
A flying insect that's suddenly swallowed by a bat probably doesn't have a lot of time to reflect on its fate. If it did, though, it might wonder how on Earth the swooping mammal managed to grab it with so little warning. The answer is that bats don't hunt just one bug at a time. While scanning the air with echoes, they manage to plan two victims ahead.
Bats aren't blind, despite what you may have read on Twitter. But bats that hunt at night rely on sound, not vision. They send out very h... Read more »
Fujioka, E., Aihara, I., Sumiya, M., Aihara, K., & Hiryu, S. (2016) Echolocating bats use future-target information for optimal foraging. Proceedings of the National Academy of Sciences, 201515091. DOI: 10.1073/pnas.1515091113
Many of the misconceptions we deal with in mathematics education in particular can be seen as the result of dealing with objects of 'low discriminability' (objects that are hard to tell apart). In many cases, these objects really are hard to tell apart, and in others we simply make them hard through our sequencing.... Read more »
Birnbaum, M., Kornell, N., Bjork, E., & Bjork, R. (2012) Why interleaving enhances inductive learning: The roles of discrimination and retrieval. Memory , 41(3), 392-402. DOI: 10.3758/s13421-012-0272-7
No matter how much I like modeling for the sake of modeling, or science for the sake of science, working in a hospital adds some constraints. At some point people look over at you measuring games in the Petri dish and ask “why are you doing this?” They expect an answer that involves something that […]... Read more »
Gatenby, R.A., & Gawlinski, E.T. (2003) The glycolytic phenotype in carcinogenesis and tumor invasion: insights through mathematical models. Cancer Research, 63(14), 3847-54. PMID: 12873971
Many properties of cities are quantitatively predictable due to agglomeration or scaling effects. What do these general relations predict for European cities?... Read more »
Five of 65 behaviours measured by the Social Responsiveness Scale (SRS) were "sufficient to distinguish ASD [autism spectrum disorder] from ADHD [attention-deficit hyperactivity disorder] with high accuracy." Further: "machine learning can be used to discern between autism and ADHD."Machine learning - outside of any visions of the Matrix or the T-1000 comin' at yer - applied to autism usually means one lab based at Stanford University and a familiar name, Dennis Wall. Actuall........ Read more »
Duda M, Ma R, Haber N, & Wall DP. (2016) Use of machine learning for behavioral distinction of autism and ADHD. Translational psychiatry. PMID: 26859815
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