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The phospholipid bilayer, with its fluid mosaic model, is more complex than a basic ceramide. A Ceramide can be a liquid crystal. However, a ceramide can be built up in complexity, constructed synthetically, later adding protein pumps and various changes in areas like electromagnet gradients. To take a chiral liquid crystal molecule and apply a charge to change it into a known state, like a nematic state, would allow a mirror of that on a computer to read the charge or even electron spin for a low count of molecues and then build those up. For instance, like a LCD computer screen, this could be a flat sheet but then a tube can be formed in a flexible screen. A synthetic nerve _(or after that success, an axon, its axoplasm and neuron potentially connected)_ could eventually be made. The simulated computer model would need to react and be proactive as a low-level driver to the physical liquid crystal, mimicking a nerve. Once a tolerance for how many liquid crystals can be placed in the synthetic nerve membrane, organic, biological membranes would need to be made. Then comes the nerve to brain control of an animal similar to a leech or fruit-fly larvae, and then progression to a fruit-fly. That would entail deep-learning, machine-learning _(even trying different graph models over a basic LLM)._ It is at this point when drug-discovery (and LLM computational chemistry) for testing on fruit-fly (larvae, fly and leech) for neurodegenerative diseases _(specifically growing flawed subjects with neurogenerative predispositions over known-quantity genetically predictable time-spans and environmental stimuli for acceleration of neurodegeneration)_ could be applied to accelerate, arrest or even reverse neurodegeneration. These are transactions on neural systems as the basis for the driver. Drug discovery would need to acknowledge endocrine system and hormonal epigenetic effect for deliberately induced neurodegeneration by premature cell death or membrane disruption by RNA interference, or mutation by RNA interference to create a new cell in multiplication by division so that cell copies are less flawed. Also for improving sight-loss, the motor parts of the brain where sight is located also could be studied to change a cell type. This is important because larvae undergo metamorphosis and the fly has the compound eye. A fly can be bred to grow legs for antennae. Then move onto more complex organisms to help write driver interfaces for growing cyber brain interfaces and drivers for axon-neuron learning and improvement in motor unit recruitment _(increasing maximal muscular force)_ in electromyography biomechanics sports, paraplegia, tetraplegia, nerve-damage, Alzheimer's and stroke patients all for rehabilitation engineering _(including prefrontal cortex damage resembling psychopathy)._ The LLM, graph and deep-learning, machine-learning would derive transactions on neural systems to standardise (or consort) in IEEE. So changing blood pH and oxygen content (or carbon monoxide) and simulated altitude training, and electrolytes _(isotonic, solute potential, etc.)_ would be stimuli _(and phantom limb induced by mirror or computer image, and the neuroprosthetic exoskeleton controlled by an epidural electrocorticographic wireless brain-machine interface such as at Institut Carnot)._ The trouble with sensors on muscles is that the best place is in the middle, not by the connective tissue. So to get around this, a synthetic muscle _(starting at chirality which can be defined, per state transition, and Markov state transition, as a spline made up of polynomials, which can be separated into a series by Fourier analysis as per Heisenberg's uncertainty principle for waves and the valence orbitals known)_ and then grown cell type allows a reading to come from anywhere in the muscle. The nematic state and chirality are so much simpler to find a known quantity than the (1972) fluid mosaic model. It would also work in computational chemistry drug discovery for a cell type _(synthetic tissue of eucaryote or procaryote)_ that does not exist but is emulated. As it is IEEE, patient data would be bought including for car and sports injuries and suicide attempts failed since there are no ethics derived for medical data on the technology not yet finalised, and consumer data law is the most concrete where there is not yet the IEEE to describe the medical ethics of what is and what is not private or closed source data. Philanthropy for tax breaks is one avenue. Hospital trains can do some but largely radiation technologies are required in underground or heavily shielded hospitals. Data would most likely need to be sold back to the patients as a licence instance as an NFT or blockchain asset because the polynomial is finite in the cryptographic function so it defines a limit to what the patient data is and how its licence is no longer theirs but of the philanthropic private entity which may include a corporate link. Buying that sort of intimate data from people so soon in rehabilitation, without guarantees of success is fraught with ethics and yet could be their only hope to have mobility and the cell motility. My comment has no hate in it and I do no harm. I am not appalled or afraid, boasting or envying or complaining... Just saying. Psalms23: Giving thanks and praise to the Lord and peace and love. Also, I'd say Matthew6.

Saved Me! So happy to have found you! Excellent voice and great teaching style 💯✨ Looking forward to future studies. Thank you! 🧬😊

My lancet looks nothing like that and my pack doesn't have instructions on it

This video will 100% save me from my dissection project

Thank you so much. I now know my blood type.

what? we ate these everyday

Thanks alot this have really help me

This is a very helpful video, thank you for taking the time to succinctly explain everything! I’ve taken the eldoncard test twice, and both times I got O Negative

How fo i know if its positive or nagetive?

You have helped me in understanding skull structure and number of cranial and facial bones well

Great video Sir! Love it

소도 인간처럼 원초적 공포를 느낀다.

Thank u

Than you❤

Thank you doctor, i watched many videos but yours was very clear and helpful😊 just subscribed!

This model is very very bad for peripheral nerves anatomy! So many mistakes .

thank you for explaining this topic in such a way that's easy to follow and understand.

Very helpful video btw. I wouldn’t have ever gotten the finger pokers off if I hadn’t watched this video.

Thank you Doctor

Thank you boss

This worth Gold! Thanks from Perú.

Great video except that the sound no longer works. I've been using this each quarter of the 23-24 school year and 4th quarter there is no sound.

I kinda screwed up my Eldoncard a little bit. I poked myself but I still feel I didn’t put enough blood on the Anti-D circle and the Control circle. I know that I am AB though. But my friend did say that if you look closely, the third circle did react a little, and that means I am Rh positive.

I’m AB+ positive. Probably the weirdest blood type.

Wow

LMAOOO his name is dr. hart and he's dissecting a heart how ironic

The vidio is unable to download

Thanks for the detailed explanation.

What are factors based during selection of lymphocytes,,are all lymphocytes have equal chance of being selected?

thank you 💪

Thank you so much

thank you from China!

How to straighten an EMG curvy baseline, please? I have a green and a red electrode I place on the patient along with a concentric needle

Oh, and thanks for the video. Super helpful

The ureter does not contain a submucosal layer. The layers of the ureter are as follows: Tunica mucosa ( 18:00 lamina epithelialis and 17:45 lamina propria mucosae) then tunica muscularis (stratum longitudinale then circulare then longitudinale) and lastly Tunica adventitia. Therefore a more proper term for the region where you were point would be would be lamina propria mucosae.

looks delicious

@Dr Ren Hartung making it easy-peasy again. A million thanks Sir

Great explanation 😍😍

I messed up my first one I got a new one

Why u gate keeping bro? Inform us

Opps the reproductive organs fell out LOL

WOW a hidden gem! Very clear glad I founfd you. Studying for MBLX helped me so much

رائع جدا🙏🏼🙏🏼🙏🏼

Thank you 🙏

I'm having one done in a few weeks for my peripheral neuropathy. They are expensive!

Thank you

Great explanation thank you 🙏🏼

well, done doctor. thank you.

You’re smart professor!!! Thank you 🙏

I did this today and for some reason it feels normsl