Monthly Archives: June 2022

Roe v Wade: unfair distribution of burden

While i agree that the constitution does not have the right to provide the “right” to abortion, and while i do not think abortion is an appropriate form of contraception, pregnancy happens.

In my own case, the male (whom i married), was arrogant, impulsive, unwilling to change life style; I was weak, and wimpy and did what he asked.  I am not the only woman who has been, or will be in this situation. In truth, all i needed was for that male to say “awesome” i am going to be a father and there would never have been an abortion.  How ignorant are we all still of the differences in gender psyche… good grief.  How few men step up to the plate and become parents, fathers? Not that many.  …. And thus result of the act which required equal voluntary participation from man and woman, was left on my shoulders entirely  (not just once, but 5 times, for three children).  Some women need protection, I don’t need it now, but i did then.  I hope women are given that help. I hope men are included in any punishment or legal action. Where is the equity in this.

Since we see the burden of pregnancy and child rearing weighing most heavily on the woman…. the few males engaged in an equal burden. But they were gung-ho during sex.  How is it that they will be so little affected by this overturn of Roe v Wade, yet in cases of incest, rape they are the perps.  In cases where there are genetic defects where fetuses are not going to be viable at birth, who would force pregnancy and delivery on someone to watch a newborn die.

I am not for abortion at any time, BUT sometimes it is the better path. What that path is can be misued, ues, but I am for laying responsibility most directly on the shoulders where it should lie. I am for equal work and monetary investment for men, and women in child rearing…. that hasn’t happened. Make no mistake, this is a gender issue. Women are still the individuals who carry 99% of the burden of children, even in 2022, women of all races and creeds and nationalities and faiths bear that.  So we have lots of men, also every race creed and nationality who accept no physical burden, financial or emotional burden for child rearing.  How totally sad.

We best be voting out of office those who restrict personal medical rights, and condone forcing women to singly carry the responsibility for what is a shared burden at best, and forced burden at worst.

Econimically and socially, this is going to “be a snaffoo for lot of old white men”, ha ha.  watch the change in birth rate among poorer and darker skin people. Watch the cost of gov. substidized health care…. I hope that it comes right out of the pockets of the well off white men of considerable age.  That is what i hope.

BIAS vs LEARNING: am I rejecting valid “learned” input

No surprise here — except that it was a surprise, a little bit anyway, that as I add more and more peak finding algorithms to the bank of data on surfactant protein D, and understand that the input values for those algorithms are “human” intuitions (knowledge), then it is no surprise that as I find peaks just by visually scanning a grayscale plot of SP-D that I can hear my thoughts… 1) what is the relationship between the peak I am examining and the peaks along the entire molecule; 2) what is the relationship between the width of the peak and the entire plot, 3) height of the peaks that i consider noise.  I have never considered myself to have any knowledge of algorighms… i have no interest in math or equations or programming, but thats actually what I do when I examine a plot and pick my own “peaks”.

For me it was an interesting revelation.  I value my input now more than I did previously as the whole search for signal processing programs to analyze SP-D grayscale peaks was because somehow I felt that my peak choices were not “scientific” (and of course if i submit a manuscript, you would have felt that my peak choices were not “scientific” either, as you review the submission.  In fact however, the “ai” in my mind, is superior to any of the peak finding programs (for this very narrow, and specific peak finding task (as i would not suggest that in some of the noisy data from other applications i could even begin to find peaks……. but specifically in this data, where there are a reasonable number, say something around 10-20 peaks, my input is considerably more sensible than the algorithms I have found optimal in Octave, excel template (PVDT), scipy, and LTI… just saying…  LOL, why should i reject my own observations and accept ignorant input.

Yes I introduce BIAS in my peak finding, i call it LEARNING HERE. Ultimately I will compare the data from my peak counts, to those algorithms.

I see the comments that say  “you have to “fine tune” these algorithms”…. thats what the cortex does, fine tune.  Signal processing provides as much opportunity for introducing learned BIAS as image processing, the whole thing gets reduced to integrity of research, sample number and common sense.

I am NOT talking about really noisy data, ….  where casual inspection would be nearly useless.

Music: There must have been a place: by Peggy Turner Hogan

Music and lyrics modified from RLB….

There must have been a place
That was made for us
Are we living there, really living there
It’s so far off, I’ve never seen it before
Like another life, we’re all together
Teenage kids and a real small house.
There must have been a place
Where someone’s living that makes up for this
These iron thought can’t stop,
Always come up with you, oh why, oh why
There is a cottage in the valley
Or a wooded place where someone
Is pretending to be us, why, oh why
So we don’t go to waste
There must have been a place
There must have been a place

pdf sheet music PTH _RLB_there-must-have-been-a-place

Never tell a lie: Music and lyrics by Thomas Arthur Turner

Music and lyrics

Here is a little suggestion and it might be hard to take
That’s if you are the type who is inclined to prevaricate.
It’s just a little psychology that every man should know
If he’s to be the perfect romeo so

Never tell a lie
Here’s the reason why
Someone might believe the things you say are on the level, darling
You might break a heart and that’s no way to start romance.
The things you say and do might thrill her through and through
But if you are on the sly I’m telling you you’ll make her cry, darling
That’s no way to do, before love starts you’re through.

So never never tell her that you love her
Unless it’s from the bottom of your heart
For there will come a time when she’ll discover
That your love for her was just a lark.

Then you’ll be alone by the telephone
All the girls will find you’ve been handing them a line now, darling
That’s the reason why it never pays to tell a lie.

Elliot’s Lullaby

Music and Lyrics to Elliots Lullaby

And now I lay my head to rest
All cuddled to my mommies chest
And she whispers softly in my ear
How their love brought me here.

And as my daddy holds us close
I know his love surrounds us both
And snuggled in their arms so tight
Each kisses me good night

Opinion: image and signal processing of micrographs

For me, signal processing offered absolutely nothing over image processing and my own reading of brightness values. It was incredible to see that Octave, Scipy, LagThresholdInfluence, and PeakDetection template smoothing programs not only ignored symmetry, but punished it. Ha. I am hoping that a “model plot” , a conscensus made from a dozen or so nice AFM images of surfactant protein D can be used to make an accurate assessment of the number of peaks along the trimers and hexamers in other images.

Verge of a Dream: Graduation Night

Some things are real.
But I never saw you
In a low back dress
On what might
have been
A street lined with
Maples, houses
Not wanting pretense.
And with the prom
Tonight
I think the theme is
chiffon, You could be
My date. Except
you’ve never
Been known for
flounce or floating
around or chatting
in a circle about
the senior class
And what they’ll
Do in fall.
For all the things
I want to be real.
Nerves ignited
I never had my hand
Holding you when
They called
the slow dance.
For all the things
That could have
Been memories
So few are real.
Sitting next to you,
I can see the place
A hard bench,
A soft drink, hooking
From school, not
Single grace except
You, your brother’s
Creativity so
Brilliant I need
To turn away..or
then imagine
me a
White cane and cup.
It matters less what
Might be real,
it matters
More That when
at that turn point
that I might
Not see you when
It becomes
My graduation night.

RLB 05/30/2022

Lullaby: for Corin M Miller

Music and lyrics.

Two special souls bound together
Blended in purpose and heart
Brought forth a wondrous new child
Corin, to treasure
Blessed beyond measure
Pepsi and Bringer of Light
Tending this new precious life.

With hope and with wisdom they’ll teach her
Mercy and grace will embrace her
Spirit of goodness abound
Love will surround
Peace will be found
Tenderly calming her strife
Guarding her new little life.

I wrote this 11 (2011) years ago for an as yet unborn Corin M Miller, who is almost 11 now. I wasn’t sure if she would ever know it existed. Technology has changed so much that a performance video can at least remind her that grandma M loves/loved her when she has her own grandkids.

Sheet music: corins lullaby-tunescribers_final

Never tell a lie: Music and lyrics by Thomas Arthur Turner

Music and lyrics to “Never tell a lie” by Thomas Arthur Turner (@1938)

Here’s a little suggestion and it might be hard to take
Thats if you’re the type who is inclined to prevaricate
It’s just a little psychology that ev’ry man should know
If he’s to be the perfect Romeo, so

Never tell a lie, here’s the reason why
Someone might believe the things you say are on the level, darling,
You might break a heart, and that’s no way to start romance.

Things you say and do, might thrill her thru and thru, but if they’re on the sly I’m telling you
You’ll make her cry, now darling, that’s no way to do, before love starts you’re through.

So never, never tell her that you love her, unless its from the bottom of your heart
For there will come a time when she’ll discover that your love for her was just a lark.

Then you’ll be a lone, by the telephone, all the girls will find
That you’ve been handing them a line, now darling,
Thats the reason why, it never pays to tell a lie.