Difference between a chigger bite and a mosquito bite?
location, location, location
i really do not like chiggers, sorry
i really do not like chiggers, sorry
JDVance on “stay with your abusive partner” I DONT THINK SO!!!
That would have cost my daughter her life, and possibly her two girl as well. Her current partner was violent, attacked her with a knife but didn’t kill her. Should she be told to stay with him, i think not, and he went to prison. JD Vance knows zero about biology, gender role playing, gender violence, and zero about abuse, and is just talking from a hypercritical, uneducated and unknowledgeable position. Dont listen to it women, and girls, if the male is abusive, get yourself out of there, and get help. Pattern below.
Gender is a behavioral issue.
Where are our brains???
In some states a convicted felon cannot vote, but in all states apprenetly it is ok to run for president. This is just nuts. This is not the America that I want to be a part of, nevertheless, I will work for justice in a peaceful manner.
This is an interesting term to apply to digital signal processing. What (to me at least) suggests is that these different statistical approaches do little to change the data, but they impose personal “hopeful” results. This is a direct quote from a very nice opinion paper on digital signal processing, but it just made me understand that the human brain, at this point, is still largely responsible for outcomes of those processing procedures.
“Statistics and probability are used in Digital Signal Processing to characterize signals and the processes that generate them. For example, a primary use of DSP is to reduce interference, noise, and other undesirable components in acquired data. These may be an inherent part of the signal being measured,…”
I am not saying that digital signal processing is not useful for helping to shape views about what signals (in this case, which peaks) are worth “recognizing as important” and those which are seen as “undesirable“, but the bottom line is still “it is ultimately my choice” and my application of the metrics used in that digital processing that ultimately “I accept”.
So I am not sure why so much credibility is given to these methods over the (yes laborious) task of “thinking” rather than just accepting what the apps put out.
This concept has been brewing for a long time, “the good the bad and the learned” which title i should change to “the good, the bad, and the undesirable” perhaps (LOL), and I have been trying to sort out how much “bias” i add to these apps as i work to find the number of peaks along a trimer (as height, width and valley data).
It seems that the question of the benefit of trying to be diligent at using algorithms for peak determination along a trimer of surfactant protein-D (at least at this point in time) is perhaps not that helpful (save a fairly robust verification that I see just a little more than what the peak finding apps see). I dont think this is heubris, I really think that at this point in time, the nuances of bilateral symmetry and huge differences in peak widths, heights, and peak positions along a plot are pretty much neglected (undesirable and overlooked) in the peak finding apps used so far (scipy, octave -iPeak.m, AutoFindPeaksPlot.m, Lag-Threshold-Interference, PeakValleyDetectionTemplate.xlsx, PeakDetectionTemplate.xlsx, and others, using various settings (all these apps have been mentioned hundreds of times in this blog).
I am using those digital processing data, along with what i see as peak patterns as a blend for a final choice for peak parameters (yes that’s bias)(bias is a dirty word for ‘learned’).
A quote from the same article mentioned above “…… the final judge of quality is often a subjective human evaluation, rather than an objective criteria. These special characteristics have made image processing a distinct subgroup within DSP” (aside, i think he should have used the singlar of criteria (criterion) here).
☆
UPCYCLED is defined as follows:
(of discarded objects or material) reused in such a way as to create a product of higher quality or value than the original.
“upcyled furniture”
I have been trying to find a app for finding peaks that does not depend upon previous peak height and width to influence the peaks following, and the peaks prior to extremely large peaks. I have also tried to find such a app that “understands” symmetry.
What I would like is one that has 0 “influence” and 0 “width” parameters. I find peaks consistently that are very small, and always in a similar place (which for two or more years I have named the “tiny” peak, that lies in the valley between the N term peak and the glycosylation peak(s) of surfactant protein D. I have rarely found that the peak finding apps (this includes scipy, octave, excel templates, stackoverflow) find those peaks with any regularity, in spite of the fact that they very often find “peaks” that I would never assume would be a peak.
I have used the same .csv file of two plots (each a hexamer, thus two trimers) of a dodecamer of surfactant protein D and applied several iterations of Octave iPeakM. The counts below are for peaks per trimer (the N term is included in each trimer though it is a central peak in this molecule, and is included in the count only once in each hexamer). (as an aside, it is interesting that this central N term peak often has divisions, as is seen in one plot, but not the other).
Peak widths for all the Octave plots are determine without my influence. The most botton plot, is MY ORIGINAL PLOT, from before I ever started using Octave or any other peak finding app. Thus something between iPeakM60-80 was/is the best (but not perfect) match for my own findings. Coloration of the peaks is done for the sake of observing obvious symmetry, the N term peak (peach) the glycosylation peaks (light green) and the CRD peaks (orange) are known (and reported peaks). Four additional peaks are consistently found per trimer. Five additional peaks (total of 8, counting the N term in a trimer) in each trimer is the typical number of peaks found. (that data obtained from almost 1000 plots of trimers previously).
RLB, 07/06/2024