p.15 has a summary of what they propose, e.g., density of p21+ chondrocytes, as an inhibitor:
"Because we found that the extent of compensatory proliferation does not linearly correlate with cell density—but it does with the proportion of p21+ chondrocytes — we posit that density plays a permissive rather than an instructive role and that stress signals emanating from p21+ chondrocytes are needed as well."
"Atherosclerosis was common in four preindustrial populations including preagricultural hunter-gatherers. Although commonly assumed to be a modern disease, the presence of atherosclerosis in premodern human beings raises the possibility of a more basic predisposition to the disease.
While I am skeptical of attributing personality changes due to cell memory from organ transplanting, is it possible for a cell or a cell collective to have information (memory) embedded as a dynamical system? Theoretically, it may be possible to embed memory into a dynamical system [1].
> If the latter features are of interest to our Government, we shall be pleased to take up the matter either on a basis of providing machines of agreed specification, at a contract price, or, of furnishing all the scientific and practical information we have accumulated in these years of experience, together with a license to use our patents; thus putting the Government in a position to operate on its own account.
I took this to mean that they were inquiring whether the government would be interested in a system manufactured according to specifications agreed to by both parties (or just providing the IP according to a license agreement), not necessarily for a pre-existing system. Necessary modifications to a system do not make for a fully developed machine.
If you're implying that the Wright brothers are not looking for R&D funding like Langley, I agree. They made that explicit in a later letter to the government. It's too bad that the government gave funding to Langley yet somehow rejected contracts to complete a working system with the Wright brothers, despite their initial successes.
Early on, Langley (and the Smithsonian Institute), who opposed the Wright brothers, was funded by the military early on failed flights whereas the Wright brothers were unable to secure funding even though they had a working prototype. Considering such opposition, it seems only natural that they would be careful about the licensing of their patents. Wright brothers certainly weren't patent trolls, since trolls typically don't even have a working prototype and are uninterested in commercializing the technology.
If you know how to formulate the problem well (which is typically half the problem anyway), Mathematica is great for providing closed-form solutions, if there is one. In CS graduate school, it would provide general closed-form solutions that I'd never have thought of. Most everyone else brute-forced a solution numerically or simplified the problem to specific cases, which is fine but you get so much more insight from the general analytical solution, if one exists.
You could use GRE test scores to compare across subject majors. There may be saturation at the top where further differentiation between majors could be possible if the exam material were sufficiently more difficult.
> In short, we over-reward those at the top and dismiss the rest. It’s an unhelpful and unnecessary bias that facilitates hero worship, undermines the goal of nurturing creativity and discourages valuable contributions to communities, worthy causes and scientific projects.
This happens in every research community. The hero worship also tends to over-fund certain areas because of how the agenda is effectively set by a few researchers.
One way that may help fix this is if there's a way to generate a crowd-sourced network of links whose purpose is to plot as a graph the current gaps and challenges of the field. It's perhaps easier in fields with clear subject boundaries like physics.
We could then observe how individual knowledge contributions have helped (are helping) progress the growing knowledge "surface." Young researchers could also observe areas of neglect and attack those instead of going where everyone else is. Reward people who grow the knowledge surface, irrespective of their background.
The same could occur for support staff in the medical field, e.g., radiology.
Doctors and lawyers themselves are unlikely to be as affected in the next several decades, except they may be under pressure to take up more clients or including more sophisticated analyses increasing workload. Job requirements will likely require higher and higher levels of education.
Based on % total majors, interesting how biomed has been inversely related to engineering (and most of CS) except in the last decade where they're all growing at a higher rate than math + physics. Would be interesting to relate this to:
> United spokesman Jonathan Guerin said Tuesday that all 70 seats on United Express Flight 3411 were filled, but the plane was not overbooked as the airline previously reported.
> It is very important for a designer to recognize all the parts of a design that are not easy wins, that is, there is no proportionality between the effort and the advantages.
In optimization, if you make an analogy between speedup / improvement with advantages / effort, you get Amdahl's Law:
"[T]heoretical speedup of the execution of the whole task increases with the improvement of the resources of the system and that regardless of the magnitude of the improvement, the theoretical speedup is always limited by the part of the task that cannot benefit from the improvement."
I haven't heard about the programming conference effect. That makes sense. Proving it out involves exposing the theory to a wide range of adversarial inputs to demonstrate robustness.
There seems to be a similar trend in mortality with respect to getting treated in a teaching hospital vs nonteaching hospital:
At teaching hospitals treatments, may be very conservative as well (perhaps even more so than at non-teaching hospitals) with residents whose teaching is freshly learned.
> Team members who believe in their leadership tend to be more effective. Patients who believe in their care have better recovery rates.
There may be other factors regarding recovery rates perhaps counter-intuitive with respect to the presence of leadership (or appearance of leadership). Somewhat related:
"High-risk patients with certain acute heart conditions are more likely to survive than other similar patients if they are admitted to the hospital during national cardiology meetings, when many cardiologists are away from their regular practices."
The focus is on the subtle impact of using some framework for analysis rather than the gross impact of individual bias (obviously that's an issue every scientist should be and probably is aware of).
For example, statistical causal models are widely used in the social sciences. After searching within the field, I looked for a problem associated with explanation ambiguity due to how the models were framed (or could be equivalently framed leading to alternate explanations) and found this paper:
MacCallum, R. C., Wegener, D. T., Uchino, B. N., & Fabrigar, L. R. (1993). The problem of equivalent models in applications of covariance structure analysis. Psychological Bulletin, 114(1), 185-199. doi:10.1037/0033-2909.114.1.185
I'm not sure if they could extend their approach using manifold theory and an equivalence class for the set of models, but I wouldn't be surprised if someone did something similar. It could then be an example of a coordinate-free approach to data analysis in psychology.