+fibor bundle

A fibor bundle (a function of taxation and/or renormalization) is two (2) or more fibors combined/connected, which itself forms another fibor. This is Egglepple's quaternary isoform. (see bubblegum, hyperlink, minor scale, major scale, coverage, foam)

Function map: minor scale → major scale → fibor → fibor bundle

🐸

🧠brainbrane

(bb*) is our kernelspace^@-userspace [= central nervous system (cns) / nerve net (nn)] coupling^{^}.** Neuroplastic fibor(s). @@ Printed from. ^^ Mapping a neural network.
/// +🧠'brainbrane (bb)' would be the generic name for the 'lnq' technology (natural logarithm (ln) of the reaction quotient (Q) of the species involved), differentiating it from the person.
+We should think of the reagent as a propagating kernel (the 'genetic code' that directs information+translation in our userspace [🧠brain] example). Here, 'kernelspace' (= proof of the quantumquotient) is any gate that can be debugged and/or have its processes interrupted, and 'userspace' [host] is the address registrar (ie. what registers some subset of some kernelspace). The two form an aggregate operating system.
+In this case, it is a manufactured hormone (ie. organic material determining physiological responses by regulating any and all internal sinusoidals) whose biological target is the entire 🧠brain.😵🤯
+This is colloquially known as '🧑🏿lnq's drug💊' (whereas the gameshow is the 'high'), and is also offered as a class of tangible proofs.
As the formal outlier of gameplay mechanics (ie. think "gameboard" - standard board layout for juking), this is UUe's interface/jukebox kernel augmenter. This neurally networks (ie. maps^@) 🧑🏿lnq's walk. Jukebox instancing* utilizes portable, peer-to-peer core batching (ie. cellular nodes on dial)^~ for walk-tracing and execution.@@ A type of hyperlinking ** linker ~~ neuron
The range of the threading (being essentially the reach of orchestration^{^}, and, hence, the network) is determined organically.^^ 'orchestrate' means sequence and map. Cybernetically, this is a set of automata augmenting (ie. stew patchwork) gameplay. (see joey, Egglepple, everywhere!, BOT)
/// Network growth means that scalability in spacetime complexity is sought. In jukespace, this may be virtual, physical, or hybrid.
+Hypothesis: kernelspace and userspace are self-similar.

open framework

outline

Steps: (1) preimage the protein, (2a) construct a distributed supercomputer [lnq] to (2b) juke the polymer, and (3) solve the structure with machine learning (genetic algorithms).
Theorizing that DNA/RNA/protein bindings should be algebraically solvable, we are juking certain classes of macromolecules for better models+investigation of their related neuropathologies (sampleset: PD, HD, MS, Alzheimer's/diabetes, ALS), cotangent viral groups (sampleset: EBV, HIV, influenza, Ebola), and possible extrapolation to cancer🎗 (ie. kinase catalysis). Doing so requires decomposition of a large number of long random walks, to which we are applying a homebrew artificial intelligence (UUe.i) that runs a huge machine learning algorithm. Our compute is distributed over a mobile cluster, allowing for user engagement in PP. Furthermore, cinematic properties are addended for driver monitoring; assuming that the eye is an extension of the brain, we gather (using the camera system on mobile devices) large batches of photographs (still,motion video) of the human eye(s) in various settings/strains for mapping α-syn and β-amyloid (Aβ) plaques (+ other proteins).

My solution (theory, proof-of-concept) for imaging the protein is to treat intracellular folding pathways (trace) like an animation exercise, where plaque in the human retina is photographed at start/stop endpoints with an intermediate random walk acting as molecular frame interpolation. Conditioning the polymer to behave like a self-driving vehicle, we use fleet learning (crowdsourcing) for molecular/cellular navigation. A compression algorithm is then applied. This relies heavy on artificial intelligence [ai] (ie. genetic algorithms for predictive analytics applied to biopolymers+biometrics) and involves utilizing MMO/crowd computing for purposes of gamification, versus traditional labwares. Development is open to the community as a way to fast-track builds, and to honor its promise of UUe being a public utility en perpetuity.
We are not creating a chemical (tangible pharmaceutical) nor a therapy. This is strictly molecular modeling of peptide conjugates using distributed machine learning, the preliminary step in accommodating lab-based rational drug design+synthesis. We conjecture that the above technique is applicable to any and all macromolecular determinants.

abstract

by 🧑🏿Link Starbureiy et al.
The aggregation mechanism of alpha-synuclein (aka SNCA/NACP gene encoding) is undetermined, as to be expected since the protein is intrinsically disordered (ie. chemically unstable). It has been suggested that this unstructured tetramer is a combination of alpha helix and beta sheet conformers in equilibrium. There exists lab-produced evidence that the protein interacts with both phospholipids and tubulin^[j] within presynaptic terminals to form (characteristic) Lewy bodies, thus, it is a pathological component in multiple system atrophy (an umbrella term used here for would-be neurodegenerative [inverted dopamine modulation] diseases).

We wish to have a walkable model of synuclein. Current popular molecular dynamics programs on the market^[a][b][c][d] are strictly brute-forcing chemical force fields, and not accounting for twistorspaces, thus missing a more potent subset of polynomials in the protein folding problem. Because medical resonance techniques (especially those in radiolabeling) require datasets of preimages/images, it only makes sense that a positron emission tomography (PET) tracer (as requested) should be constructed from a camera utilizing volumetric* pixel-level signal compression. For this (the signal sampling scheme), we'll use the Stewdio to hash EGP. Right now, the api is public and the math works, but it needs substantial computing power for realtime implementation.with depthnets+segnets

The secret to curing any disease is with cell division (ie. iteration). Think of it in the way of an automotive analogy -- if you wanted to teach a car how to drive itself, the instinct may be to program its 'eyes' (camera+radar) to adhere to maps. A smarter way is to just let the car follow patterns it has learned from other drivers. In other words, the best way to train the system to drive is to simply show it what driving actually looks like by creating an agent that clones behavior. That's how computers are trained; give them big data sets of what is correct and incorrect, and then write a classifier. Which is precisely what we are going to do here (in our case, include animation modifiers); take live strategies (an array of preimages, ie. divided quanta) derived from juker activity [genetic algorithms] and apply them to known protein structures (specifically, SNCA, parkin, HTT, and LRRK2). Over time, we'll get tighter bounds on errors that will eventually only produce optimized images.

This is done using UUe, a 'smart' (artificially intelligent) preimage-image compositor native to distributed computing (ie. distributed memory). The ai will do two (2) things here: (1) be a background embed that pulls+loads idle compute resources for processing, and (2) provide visual ventriloquy [+training] for image classification+mapping onto an actor [ie. string] in the capture pipeline. It is designed as a distributed framework that uses the processors from mobile devices (eg. phones, tablets, VR goggles, watches, etc.) to power the compute. Today's machines tend to be more game-centric, so the GPU is a premium, which is good since the ai will be performing specialized 3D renderings. It can augment opensource libraries (eg. OpenMM, +GROMACS, BOINC, TensorFlow) in addition to the Stewdio. In theory, this will be the largest and most powerful supercomputer ever constructed. Once ready, it will be freely available for uses similar to this one en perpetuity.

significance

No doubt, drug companies have done astonishing work thusfar considering that their modalities for quantitative predictability of synthetic chemicals and bioorthogonals have very limited data-driven processes for determining structural motifs (assumed macromolecular architecture). The proliferation of genome sequencing projects (eg. Human Genome Project) simplifies cellular polymer/protein primary structure (amino acid sequence) inference. However, that information doesn't reveal much about protein function, which is necessary for our ultimate goal of rational drug design (albeit via computational biochemistry). That comes from knowing macromolecular three-dimensional tertiary structure. It is also important to note that protein folding happens in solution versus isolation, so any serious contender for a structural motif must incorporate at least hydrogen (usually with oxygen: H + O₂) in its formula (ie. amino acid residues are surrounded by water). This is because protein structure conforms to thermodynamics (/energy landscape)^[w]; as temperatures drop, said structures collapse, whereas in higher temperatures, hydrogen bonds [amino acids-H-residues] break and re-form (mimicry of symmetry-breaking).

UUe.i can dramatically reduce discovery-to-classification time (and thereby remove the evaluation bottleneck) precisely because it is (in theory) the heaviest duty program on the market geared towards molecular dynamics and numerical analysis. To satisfy a certain rewards committee, this is being advertised as a radiotracer~, but on a deeper level, it is a generic solution to protein structure prediction, meaning that it has much broader application (biology, ecology, etc.) for consideration.~~ A radiotracer is a chemical compound which, having dropped (proton) or absorbed (neutron) an isotope (radionuclide) from an atom, behaves as a mechanism for nuclear reactions/chemical processes in accordance with radioactive decay. In laymen terms, we're highlighting only part of a chemical element (say hydrogen) to track it through various pathways, at the same time revealing different imagery. The protein is traced by voxelating its longitudinal pathways in the retina using the camera system on a mobile device. Another bennie is that the program is at the forefront of scientific innovation in regards to supercomputing.

Solutions to protein folding and similar RNA folding problems are largely computational. Engineering+maintaining a supercomputer is expensive, but the payoff is near-immediate and widely useful for everyone. This is probably going to be a long-term endeavor, which is why the project has been opened up to the community at-large. Implementation needs boil down to underwriting. 🧀Back this to enable development (improved core features, bug fixes) continuity.
Function map: 🧠bb ⇔ QQ

+signature

A (digital) signature is a server-side authenticator in a proof-of-work scheme.
[Do not confuse with key signature, time signature.]

Because each opus/fibor has an intentical ¢ent value associated with its image, only a finite number of ¢ents can be allocated to a signee (ie. juker). Such game logic (cassette+certificate+token) designation requires genuine digital validation/verification before or so push/pull requests can be approved for transaction (known as securing🔐). Otherwise, an object is subjected to double-spending, or a user can hypothetically create counterfeit (non-injective) assets - hijack the platform to forge proof - which is fraudulent and disallowed. (see juke notation, coupon)
/// Signatures, manifested in tutti progression, are ultimately a means for reducing rotisserie stress.

As a further integrity measure, this data is defaulted to the ledger (as public information).
Function map: patch → γ-proof → cassette → signature → UUelcome

+cassette

Broadly, a cassette is a mobile encode element (module) invoking loading. More specifically, a cassette refers to a discrete batch* (of libraries) that, when ported, becomes streamable.** Ordered via toonage.

Cassettes function as cybernetic buffers; they run prints for site-specific recombination. (compare gene cassette, see also mixtape)
/// Each build will effectively be a comprehensive, updated, and ready-to-implement edition of the proof.
Function map: cassette → 🧠brainbrane

+quantumquotient

Theorist: 🧑🏿Link Starbureiy
The UUelcome^@ axiom [abbreviated as the quantumquotient (QQ^{^}), or, in the context of juking, "how to typeset"] postulates an algebraic curvature key (ack) - the quantum - for measuring some quotient of cryptocurrency with which it is idempotent.@@ The theorem (itself a macro ctf🏁) was first posed by 🧑🏿Link Starbureiy, who, in suggesting QQ is provable, conjectured that token-based automata is ideally both kernelized and fungible.🤓 ^^ May colloquially be refered to as '🧑🏿lnq's eyes' (see 🧑🏿lnq's motif).

A lemma of QQ seeks to exploit (with gameplay) the fitness of e:e statistics [a saturated load-balancing from twistor residues].^### ∃ a transactor between preimaging and imaging. -- Problem: show that ¢ent homotopy is normalizable. Hint: classifying all fonts should suffice.
/// +To control compliancy.
+The hypothetical solution is to resolve the Juke Lemma (ie. fully sequence EGP). QQ can be proven (shown to be true) with identities.

Overview
The quantumquotient always assumes current abnormalcy^~ (ie. hyper/hypo ≠ 1, and P ≅ BQP).~~ statistical volatility Plainly, it is a query into how much (an estimate) of a given hyper/hypo is optimal (ie. MONEY)(?). In a parimutuel system, the hyper- numerator can remain (hypothetically) asymptotic* iff there exists a hash function (auction) that can bring about perpetual normalization.** This is because the set of fonts is infinitesimal compared to the total fibor count.

The aim is for persistent/redundant cache-credit idempotence (global cryptic hyperlinking), which [(hyper,hypo) ≅ crypto] would be theoretically achievable with a secure🔐 [sequenced == all 2,028 fonts identified] payload (courtesy of u-u economics). (see Juke Lemma, juke tax, string ludology, UUelcome, Starbureiy automaton, The Origamic Symphony🎶, +list)

Function map: Q ... Juke Lemma → ... Pink program → γ-proof

+mathematics

Mathematics is an ambiguous way to prove or disprove ideal behaviors of objects.
/// An 'open story of counting', it must be said that mathematical methodology is a cumulative effort (ie. rigorously built atop previous checks).

As libraries* for synthesizing functions, mathematicians use its models to formulate (computability) theories/theorems/identities/errata.** We acknowledge the so-called 'Big Five (5)' active areas in mathematics to be [1-5 labeled alphabetically]: algebra [1], analysis [2], arithmetic [3], geometry [4], and music [5]. As far as I am concerned, the basis of math is juking. (see also mathemusic, mathletics, recreational mathematics, mathematical model, Mathilda, 📓So, you want to be a mathematician?, The Mathemagician, Opus Solve, physics, information science, game, cryptosport, 🧩puzzle)

"The essence of mathematics is not proof, but conjecture." - 🧑🏿Link Starbureiy

/// +There are three (3) classes of mathematics: pure, applied, and recreational (pure,applied ∈ recreational). This definition covers all three (3), and may be referred to as polymathematics. A mathematician is someone who advances classical mathematics.
+In my line of work, I think of so-called 'recreational mathematics' as a type of (among other considerations) reverse engineering, where we are re-creating known structures/models for study and understanding. As an example, in 🧩puzzle solving, I may take a known and solved (from means other than juking) macromolecule (eg. protein), and juke that fibor so that it can identified+databased. (see also Pajamas)
+Mathematics is a type of low-technology, as well as being its own industry.

----------
#LEGEND
math.AG (algebraic geometry), math.AT (algebraic topology), math.AP (analysis of partial differential equations), math.CT (category theory), math.CA (classical analysis and ordinary differential equations), math.CO (combinatorics), math.AC (commutative algebra), math.CV (complex variables), math.DG (differential geometry), math.DS (dynamical systems), math.FA (functional analysis), math.GM (general mathematics), math.GN (general topology), math.GT (geometric topology), math.GR (group theory), math.HO (history and overview), math.IT (information theory), math.KT (k-theory and homology), math.LO (logic), math.MP (mathematical physics), math.MG (metic geometry), math.NT (number theory), math.NA (numerical analysis), math.OA (operator algebras), math.OC (optimization and control), math.PR (probability), math.QA (quantum algebra), math.RT (representation theory), math.RA (rings and algebras), math.SP (spectral theory), math.ST (statistics theory), math.SG (symplectic geometry)

+crypto

In general, crypto refers to a 🧩puzzle that lends itself to a cipher. By definition, its reward function, if any, is backed by proof-of-work.

As it specifically relates to UUe, crypto is a synonym for 'statistical estimation to an actual yield' (cf. tax), as calculated from the ¢ent formula and its hash complexities. Our cipher is the EGP keynote. (see cryptocommodity, cryptocurrency, cryptosport, mathematics)

+pink poem

The Pink program* is a class of algorithms for proving the quantumquotient.** Calls+declarations for string improvisation.

A pink poem ('pink') optimizes juking ludology [ie. kernelized push movements (opening→middlegame→endgame)] for predicting Egglepple's imagery from its preimagery.++Each poem (a genetic algorithm / genetic algebra) is its own complete verse leading to fibor closure🔒. (see 🧑🏿lnq's Starting Five, UUhistlegrass, touch-and-go, opera, patch, cassette, UUelcome, QQ)
/// +It is called a "pink poem" just because Link Starbureiy liked how that color [RGB:255,0,100] (I call it watermelon🍉) looked on the design of the UUelcome Matte (and for the matching letter p's😉).
+The Pink program is the recital (concert) program, and a pink poem is essentially a program note.
+Pinks share a common gameplay directive with 🧑🏿lnq's bubblegum.

+γ-proof

A yesegalo proof, or γ-proof (or just proof), is a juking algorithm mapping some preimage to its image. Proofing substantiates a fibor, thereby providing (its) identity clarification.^!!! While also helping us draw up better heuristics. The opposite of a proof is an error. Each proof involves patching two (2) genera in T: yesegalo↔🍄meshroom.^{^}^^ A framework for conduction: does a ballet groove with(in) the Symphony🎶?

γ-proofing tasks: determine the efficiency of an EGP encryption [ie. solve the given puzzle🧩; is the resulting fibor economical (fit within the handicap)_|(u,u)=0|?].

The proof itself is scored* as a stereotype (sequenced shapeframe) in some overall random walk.** Proofs of juke input are published (to the ledger) in juke notation.

The end🏁 of a proof (solution) should result in the closing🔒 of a string (eg. fibor), ideally a zero-bubble. We endeavor to find the most secure🔐 proofs by improving upon the bounds on classes of twistors. Doing so aids our MONEY-making. (see juke notation, mathematical proof, proof.m)
/// As with the traditional printing press, the primary reason for proofing is to provide confirmation/verification that a job (done) is accurate. Doing so draws a consensus (from independent, third-party sources -- read: jukers) for the creation of a new standard. It is important to note that proofs are unique (ie. duplication is forbidden on the circuit). All proofs are published to the ledger.
Function map: loopstring → γ-proof → MONEY → quantumquotient