A list of puns related to "Coefficient Of Absorption"
Hello all,
I'm a university student doing an engineering project that has stumbled into the weeds a bit using concepts from chemistry. I'm simply trying to calculate the Absorbance of a material using values found from references through Beer's law:
A=\epsilon * c * d
I understand c has units of mol/L, and d has units of length. For A to be unitless, the molar absorption coefficient should have units L/(mol * cm), however, many references I've been looking at report their molar absorption coefficient in units of 1/(mol * cm) with no Liters unit. Is the unit of Liters commonly suppressed in practice, or do researchers report this quantity in different units? Online educational information seems to gloss over this detail with no real explanation for why the units don't work out. How should I be interpreting these things in order to make a calculation that makes sense?
Thank you all for the help
Specifically how much visible light does the dust and gas between us and Sagittarius A* absorb? Obviously radio waves reach us, but presumably as the wavelength shortens it becomes more opaque. However, some photons of visible light must reach us even if lost in noise
I have the absorbance value measured at 0.674, there is a 1cm path length and the concentration is 3 mg/L of iron (III) solution. As it's such a low value it's recommended to convert the concentration to ppm, but I'm wondering how this would effect the final value and unit of the calculated absorptivity?
Link to Statistics.
Base AD Ranked: 8th lowest > 2nd Lowest
AD growth Ranked: 29th (using lowest of Rank of Champions with 3AD) > 5th lowest.
AD Value at lvl18 Ranked: 21st > 3rd.
The last time Sona was 'actually' Buffed was in Patch 8.9, Base attack & power chord damage were increased . Before that, she had mini reworked buffed in 6.14 which was the last time there was a pleasant healthy change. Buffs otherwise from then to now have been buffs into gutted nerfs.
Personally I dont like the intent of the new "buff to Sona support" as it's pretty much a bandage to cover the inconsistency issues of top lane.
For various reasons I need to stratify my models. My fit statistics show that negative binomial is the more appropriate model due to overdispersion. When running the negative binomial the estimate for the non-stratified data is 1.8 but the estimates for the models stratified by gender are males: 1.7 and females: 1.6. This is because (as I understand) each negative binomial regression model has a different dispersion parameter. What would you suggest in this scenario? Relative comparability between multiple different models from the same dataset, with different levels of stratification, is essential.
Sorry, I think I meant to say GDP per capita divided by median income.
Ok, so I am currently building a flight computer simulation using the Unity Engine and need to calculate how much lift is applied with my aircraft. Problem is, I have searched everywhere and the only non-lift necessary equation I could find was 2pi*AngleOfAttack, which only works at small angles. If anyone knows of a formula for this that would be very appreciated
So, like the post says, looking to ramp up from my super basic Zinc supplement since the C-virus has found it's way to my state.
What's the best form of zinc currently available? or is there even a difference?
also, i didn't want to post because there is no way this hasn't been tackled recently. Can someone point me to a recent thread about what people are doing to boost their immune systems?
Hoping to get some clarification here:
So the slope coefficient tells us how much Y changes for a 1 unit change of X, but it doesn't tell us the importance of X in explaing Y. Why is that?
The solution is to use a t-test to see if the slope coefficient=0, but we are given a slope coefficent from the regression. What is the purpose of the test then? Is it because we've estimated the slope so we are testing to see how certain we are that the true slope isnt zero?
What does a slope of 0 imply? Intuitivley an increase in X has no effect on Y, so X has zero predictive power in Y...
Just a fun idea, not really a full fledged theory.
It'd explain why he was only able to deter monsters like Elder Centipede instead of wiping them out, and why Blast is only going to come out for end of the world threats no one else can beat. If the threat is any weaker, then the other heroes would be able to cover it just as well as Blast.
It also would set him up as a foil to Saitama. Saitama is the strongest, Blast is only as strong as who he's currently facing. Saitama's main problem is he can never find a challenge, whereas every fight Blast has ever been in would be a challenge. It'd be interesting and would cause the characters to be envious of each other.
So at Formula North I was curious of what general range teams are sitting at downforce wise, so I asked them. Here's what resulted from that:
https://i.imgur.com/PMgovV2.png
Note that these values came from a mixture of good and bad CFD and validation. Some teams provided suspiciously rough numbers like 350 [lbf] @ 60 [mph], others gave rough numbers off the top of their head, others didn't have an aero guy to represent their aero.
It averages to a value of 3.03, with the lowest being 1.9, and the highest being somewhere in the 5.4-5.9 range.
Hi all, I'm working on a SolidWorks simulation for heat treatment/quenching of steel. I'm all but ready to run my simulation, but am having trouble finding one key value. I am submerging a steel shaft previously heated to 800C into water at 20C, so to simulate this I am running a transient analysis with water as the convection medium. However, I am having trouble finding any reliable information for the convection coefficient of still water at 20C. I'd appreciate any help!
I have put my data as column vectors in my workspace. When I run corrceof(X,Y) I get the output desired. However, I would like to do corrcoef(X,Y,Z...,A) but the command does not allow me to do so. I get error βcorrcoef>getparamsβ and β[alpha, use rows] = getparams(Varangian{:});β To put it succinctly, how do I run a correlation coefficient of more than 2 variables? Thank you.
Some follow-up questions to the one above:
Modi, Amit, JP nadda must not allow clout to get to their head or their own down fall is evitable. Also they need to find a better strategy instead of blaming Congress for all the problems. Give people examples of the problems they fixed and show them what are the current problems and how they are planning on tackling them. If not corruption is gonna spring up in BJP and then the downfall is Evitable.
Lets say I'm at a 250 calorie defect for 14 days (3500 cal net deficit = 1 lb body fat), then I have a day with a 3500 calorie surplus. Is the whole thing a wash?
Is there a limit to the amount of calories that can be absorbed in a day? Will some of that 3500 calorie surplus pass through un-absorbed making the above example still beneficial?
Here's the situation: about a month ago I started using Skinceuticals CE Ferulic serum. I was able to purchase it at a steep discount through a friend, but she just left the company (v inconsiderate, yes?). Because I do not have a 20k boyfie, I will not be repurchasing at full price.
Thus, I want to maximize results of the two-ish months left of product I have. Skinceuticals says to apply the serum directly to clean, dry skin, but is that really the optimal method? Would using an essence beforehand increase absorption? I assume any moisturizing or occlusive essences would be a bad idea. The serum has a crazy low pH, so would an acidic toner help?
Thanks!
A block slides up an incline of 50.0 deg above horizontal. The coefficient of kinetic friction is 0.40, and the initial speed is 2.00 m/s. What is the acceleration of the block and distance traveled before coming to rest?
Hey guys, I'm trying to do a basic test of whether two coefficients are different in different regressions.
So, let's say I have two regressions:
ivreg2 profit i.rnd c.assets c.cash c.debt i.industry, cluster(companyID year)
ivreg2 profit i.rnd_type1 i.rnd_type2 c.assets c.cash c.debt i.industry, cluster(companyID year)
I want to run a test to see if the coefficient on RND in the first regression statistically smaller than (unequal to) the coefficient of RND_Type1 in the second regression.
How could I do this?
I am trying to create a kind of glove which can catch objects very well by having a lot of friction and then throw them, which would be easier the more similar the coefficient of static friction is to that of human skin. Does this kind of material exist?
Today in class we studied correlations and looked at r. Teacher said that there is no correlation if r = 0, but even if r = 0.0000000000001, we'd say there is a correlation, albeit an extremely weak one.
This made me wonder if r = 0 actually exists in real life, even if things that absolutely seem like they have no correlation like (apologies for the stupid example) the amount of farts and lung cancer.
Because I'd imagine if the two variables were drawn on a graph, it would have to be symmetric around the x axis like a perfectly reflected parabola or circle, which seems impossible.
A friend had thyroid cancer and had surgery. She was then put on Levothyroxine as replacement. Her blood levels are erratic, and she has been put on higher and higher doses to no end. She is exhausted most of the time. In addition, she has been tested for most common interaction to no avail. Any ideas?
And I guess another question, was LDB always a DB, or was he/her in the right place and right time, and chosen by Akatosh at that moment.
I've a question on the fitting of FIR filter coefficients, specifically methods of doing so when the filter has an unequal number of precursor and postcursor taps. I've posted on the DSP Stack Exchange, but no luck so far so I thought I'd chance my arm here. Any help is very much appreciated. :)
I'm trying to fit an FIR filter to the measured frequency response (magnitude, and eventually phase) of a device. The frequency response is essentially a low-pass filter. I'd like to vary the number of taps to see how many are necessary to appropriately match the response, but also give differing number of precursor and postcursor taps in the design.
I've investigated Matlab's fdesign.arbmag and fdesign.arbmagnphase functions, but these seem to only give designs with the same number of pre- and post-cursor taps.
Here's some sample Matlab code with simplified frequency (F) and amplitude (A) values for reference.
F = 0:0.1:1;
A = [1 0.85 0.9 0.7 0.5 0.3 0.35 0.1 0.2 0.1 0];
filterOrder = 7;
d = fdesign.arbmag('N,F,A',filterOrder,F,A);
Hd = design(d);
fvtool(Hd)
tapWeights = [Hd.numerator];
disp(tapWeights)
The above code runs happily, and produces a low-pass filter that matches the frequency response reasonably well, with tap weights as follows: [0.0030 0.0361 0.2161 0.4500 0.2161 0.0361 0.0030].
However, the central tap (the cursor, 0.45) is surrounded by three precursor and three postcursor taps. Is there a way to design, say, with one precursor and six postcursors?
Suggestions for Matlab methods would be brilliant, but even suggestions towards algorithms, etc., would be great too.
Sorry, I think I meant to say GDP per capita divided by median income.
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