Alright. This was a pain to do, but I've finally turned the bulk of my data into excel format so I can have it on my mac. This took a lot longer than I expected it to, but now I can quantitatively see the outcome of my experiments. I've attached the results here, and I will go over how to interpret them in class. The majority of my results support my hypothesis, but there are some that either gave inconclusive results or did not support my hypothesis.
I might be making random connections, but I was reading my physics textbook (and by the way, per Bob's recommendation I referred to my textbook and found a useful explanation for Carnot engine efficiency) and there was a discussion of symmetry. It was symmetry as pertaining to Gaussian surfaces.
Now, I do use Gauss in my algorithms, but it's not this kind of Gauss. My Gauss was the Gaussian distribution from statistics; this Gauss is the same guy, but a different concept. This Gauss, specifically the Gaussian surface, is just any closed surface.
I am currently working on refining parts of my background section and better explaining my methods.
Also, I'm finalizing the figures I am using (mostly the western blots and the NTRK1/NTKR2 gene figures marked with mutations).
The western blot with the starved cells did not turn out so well because:
1. there were not enough cells to start with (the pellets of the spun down cells were quite small)
At its heart, Carnot (pronounced Car-No) thermal efficiency is a mathematical expression that involves the temperature of the source and the temperature of the sink. It measures the efficiency of a mechanism called the Carnot heat engine, which for my purpose is simply the solar cell itself.
I've gotten another response from Kate! I meant to write this a few days ago, but I found myself distracted over the course of the weekend, so I am writing it now! I asked about the multiple lines on the RT-PCR, using different thresholds between plates, and how the sybr green functioned. Kate asked for clarification on both the question of two lines on the RT-PCR and the antibody that I used on me western blot, which actually scanned for HAS2 in stead of any MMPs.
Remember all those Carnot questions from Science Bowl yesterday?
Well, I did some research afterwards because I was curious. The Carnot principle relates to the second law of thermodynamics, which actually directly causes the thermodynamic losses I discussed in prior blog posts for solar cells. So there is a connection.
Now I'm looking into applying Carnot efficiency to multijunction quantum dot solar cell efficiency. I'm getting warmer.
I have been brainstorming the best way to quickly show someone what absorption means, and how it is related to how "good" a solar panel is.
Basically, the big-ticket question is: how much electricity can we get from the solar panel?
If we look at how much electricity it absorbs, that's the "usable" amount that can be converted to electricity to power our devices and buildings. I graphed this usable part in red (using a simplified version of my algorithm for the material silicon with bandgap 1.1 eV), below.
In other news, I am working on PowerPoint presentation slides for JSHS and Davidson, and ultimately my poster. I have revamped many of my graphs but am still working on details. I would be very interested in hearing your feedback tomorrow. In class, I'll edit some and show you what I have.