Showing posts with label lnq. Show all posts
Showing posts with label lnq. Show all posts

+Discord server @ lnq#7586

Join the orchestra and converse on the Discord servers @ lnq#7586.

+UUe

UUelcome Home

Inventor: 🧑🏿Link Starbureiy | License: UUelcome
UUe® (also referred to as 🧑🏿lnq's jukebox) is the standard machine for vending Egglepple. In streaming UUelcome, it stereotypes^ EGP and dispenses@ fibor.^^ Stereotype:=sequence+print. @@ A function of fugue extensibility.

UUe is a kind of abstraction. The automaton is an organic development from attempting to prove the UUelcome axiom, a deep math 🧩puzzle* rooted in random walks. Two (2) genera abstractions are: a kernel for mathematical modeling (of auction theory applied to twistorspaces), and a method of compliance.** An over-simplified explanation of the problem is: if you take a really long (but finite) tape and split it into some countable number of smaller branes, how does that effect the computability of the tape itself?

TOS /// +UUe was originally an acronym for 'United Under economy',later changed to 'united under Egglepple'. It no longer is an acronym; it's just 'UUe' (pronounced like "whee"). However, both 'United Under economy' and/or 'united under Egglepple' are still applicable.
+UUe - a mathematical model - is a kind of abstract automaton. It qualifies as a jukebox by its rotisserie, with internal operations similar to those of a lyre. Realization of its utility happens via the Stewdio.
+Because u-u economics mandates that clientele in the (u-u) scheme is part of a supply chain, UUe functions like a vending machine.
+lnq is the (official) mascot of UUe. This is "🧑🏿lnq's Jukebox".
+In gameplay, UUe is the house🏠.










united under Egglepple| united under Egglepple is the unofficial (yet formal) name for UUe. This is the kernel orchestrating u-u economics - systematic configuration* of the payload by auctioning% stews from the portfolio: [EEE = (micro) through PPP = (macro)], which leverages juke taxation.%% A necessitation of compliance. This is to say that the whole of Egglepple (particularly the nuts) is 'statistically united'; a parimutuel system is extensible and potentially twistable (u,u).

Server operations are shelled using tokenage* for auctioning and gameplay.** Kernel development is an organic reaction to gameplay. Ludologically, this conversely implies that all disjoint games are variant. Put another way, yesegalo and 🍄meshroom are self-synthetic. (see UUelcome, u-u economics, UUe interface, Juke Lemma, patch, Pink program, Pajamas, Quantumquotient, DUCK🦆, #recital, Stewdio)
/// It was originally a trust that has since morphed into something much more sophisticated; a shift similar to Egglepple being re-appropriated into the the jukebox.

dependencies


parsing


storage


catalysis

Function map: UUeUUelcomePajamas

+The Egglepple Company

The Egglepple Company (or just Egglepple) is the pseudonym given to what is now known as Egglepple (kindergarten). It was an incorporated@ business entity in various states throughout the United States of America prior to its deprecation, reorganization, and later inclusion into lnq.@@ Reference: Ohio Secretary of State's Office

Historically, Egglepple was the very first establishment to be a standalone/independent recreational mathematics+ enterprise (+:=contract-based, sometimes ghostwriting for academe from 10/2000 - 02/2001 (also of interest The Stewart Ellis Company - Gobotech, Link Starbury Network, #305)
/// pm:=pure mathematics, am:=applied mathematics. (see Funshine/Toonlight)

"Egglepple" is the middle name of 🧑🏿Link Egglepple Starbureiy, after whom the company is called, and by whom the entity was created. It spawned from the unincorporated/unorganized Egglepple portfolio (for toy [🧩puzzle] design, circa 1991).
/// Nowadays, the 'company' portion is assumed to be my roster (of characters/personalities +gallery) and the yots.

Back at The Ohio State University, I put in my time roving the halls of the mathematics, physics/astronomy, and chemistry departments. I was fairly new in that world ("publish or perish") and really wasn't familiar with LaTeX and that publishing scheme back then (the departments certainly didn't make it easy for non-staff to have access to the system), so I did what I did best when it came to visual expression, I drew stuff up/wrote stuff down on napkins (yes, at times with wax crayons🖍️ or colored pencils✏️).

The astronomy department was awesome in the regard that they treated people who came through their doors respectfully. The math department, however, was the total opposite. There was so much ego (mine included) polluting the building that it was almost laughable, yet frustrating. Anyway, there would be these 'challenge' problems/help requests from the community (ie. intra-departmental) often posted on bulletins, offering modest bounties💵 (very short-term contracts) for their solutions. The opportunist in me would peel these from the boards, take them home, and come back shortly thereafter with my answer(s) written on (paperclipped🖇️) napkins. I remember just vagabonding off of those purses (yes, I was a 'bounty hunter') for periods at a time (sometimes in conjunction with all-levels math tutoring/coaching gigs). I guess that - in addition to responding to Michio Kaku's earlier proposition - was me (being the person responsible for) turning math into my version of a sport (, and thus, solidifying my interest in ctfs🏁).

+Robot (play)

Robot is a short one act performance and composition by 🧑🏿Link Starbureiy debuting March 19, 1997. The play is a solo piece about a fictional cyborg (lnq) on Earth's🌍 moon🌚🌙 sometime in the distant future.


Significance
The ideation and drafting for Robot began in February 1997. This was his final creative arts assignment (complementing the technical piece) as a schoolboy, and was scheduled to be performed in an annual talent show the following month. Robot is often credited as the beginning(s) of the proprietorship, Link Egglepple Starbureiy.

Robot was part of an annual school-wide talent show that I took part in. The previous year, I had done a Michael Jackson impersonation routine (Smooth Criminal/Moonwalker), which went over pretty well. I then wanted to try my hand at something original, which is where this botched act came in; I sought the assistance of a classmate - whom he and I drew comics together for fun - to help with the storyboarding, but he, too, was busy at that time as we were seniors trying to close out our high school careers and projects.

I immediately labeled the show a debacle👎👎, and attribute my poor outtake to lack of preparation (the script was still being edited only minutes leading to showtime) and a mishandling of the itinerary by stage crew (and some other lame excuses; in truth, I just sucked😵). In all, I later saw the show as a blessing that I would use as fuel to create more one-man acts (later attributed to my foray into deeper performance art that Summer) which evolved my opéra-ballet, Stewart.

It should be noted that I came up in the era of Nintendo. A major platform game of the time was The Legend of Zelda[z]. It's a great franchise. No, my name is not Link after the protagonist character in the game; it's my real name. Anyway, there was no 'Zelda' to speak of in my adventures, so I just adopted 'Link, The Legend' to fancy my ego. And now you know.🤭 (do not confuse with 🧑🏿Link Starbureiy%roster, cyborg, or Starbureiy automaton)

+Link Starbury Network

Link Starbury Network (LSN) was the original name (circa February 28, 1997) of the proprietorship now known as 🧑🏿Link Egglepple Starbureiy.

It started out as his senior project, before branching into an umbrella of works (namely exploiting properties from the then-untitled Egglepple [puzzle🧩] portfolio carried over from his gradeschool years).
/// The project was a technical piece with a creative arts supplement to it [see Robot]. I elected to do something for math class, and my idea was loosely about membranes and the faux physics of some made up object called the 'orbitron'. ← Ask me about it later.

LSN would morph into a mathemusical focus by 1998, after Starbureiy began working on the EGP Keynote. (also of interest The Egglepple Company)
/// The name was later modified in the year 2000 to reflect the personal change in the founder's identity, which included the alphanumeric e and i in his surname. (see 🧑🏿Link Egglepple Starbureiy nomenclature)

I credit LSN as my foray into the world of professionalism. I consider myself to be a professional athlete of sorts, in the direct mold of mathletics. So, the establishment of LSN marks the point on my timeline when I 'went and turned pro' (part-time).

Trivia: My decision to 'go pro' at that time, more-or-less was influenced by two of my favorite sports icons, Kobe Bryant🏀 and Tiger Woods⛳, who also had graduated from the amateur ranks months prior (in 1996). These fellow Black men quickly found success, and I didn't want to get left behind, so, in the spirit of me wanting to become a gameshow host, I followed suit (by inventing my own game+league and just going at it). ... We'll just ignore for a second the fact that I more truthfully made this advancement because I was flat broke at the time (the week just before I became a legal adult), and got sick+tired of embarassing myself begging(?) for lunch money (in other words, I turned professional because wanted to work on my own for my own money, not because I was under some celebratory influence). -- Also, just for the record, a rookie Kobe (#8) was my all-time favorite player in the NBA [aside: we both wore our heads bald👨🏿‍🦲 in 1996-1997, though for different reasons]. I fancied Tiger🐯 because golf (and the mental resolve that comes from it which I find admirable) is a capture-the-flag🏁-type of game between a person and Nature, which is similar to what I do.

Trivia: Two other 🏀basketball players whom I thought were cool, Stephon Marbury and Allen Iverson, were also on my radar at the time due to them being in the same draft class as Kobe. Stephon's nickname was 'Starbury', which was the name I used when making presentations in those days. Allen Iverson - given the nickname 'A.I.' - played at Georgetown (Hoyas) prior to being drafted by Philadelphia. Putting both nicknames together yields something like 'Starbureiy', if you think about it.😉 (see lnq nomenclature)

In elementary school I would obsessively draw mazes all day just for fun. I think I invested so much time doing so in part because the trauma of enduring a lot of personal domestic stife mixed with my autism led me to wanting to spend all of my time in a world that I had created for myself. This resulted in me having stopped caring about school (or at least the academics) after my sixth grade year (my favorite as well as one of the most wonderful years of my life😊) with Mr. Michael Woodring (the best 🍎school teacher ever, and the person whom I consider my mentor -- also a shoutout to principals Joseph N. Rucker and Marvin Spratley, as well as the 🧹custodian Mr. Whitney for similar appreciation), and so - to my parents chagrin - I became a poor pupil; my marks were terrible as I maintained a bad habit of tardiness/skipping a lot of class(es) and falling behind in homework. I did, however, ace standardized exams, and around this time had developed a reputation of being a 'Mr. Solve-It'.

A natural loner and independent, I came to resent the school setting (ie. student body, administration). For those reasons, I wasn't wanting or expecting to continue my education (ie. college -- I only had one scholarship offer coming out of high school); my career path had been defined (but not yet refined) already.

That pivotal Winter, I was looking for a sophisticated 🧩puzzle to work on (so that I could realistically call myself a 'professional' and be able to self-support my dreams) or to at least pad my portfolio in case I optioned to matriculate to an art institute (because I lacked sufficient training in the 'proper' methods of industrial toy design+illustration🧸🎨). What eventually ended up happening was that I later stumbled upon Michio Kaku's book, Hyperspace - where he proposed string field theory, after it was recommended to me by a classmate in our final semester. That book, as well as the movies Men In Black and Contact, which premiered that Summer, solified my interest in pursuing astronomy (amounting to me deducing 🧠neuroscience from astronomy). By the following year, I had laid the groundwork for the EGP keynote in chasing a solution.

----

Founded in February 1997, 🧑🏿Link Egglepple Starbureiy (lnq) is a sole proprietorship managing the career of its owner (namesake), and flagship, UUe®. The LES philosophy is to utilize defensive disclosure, whereby intellectual property (IP) becomes prior art upon intentional forfeiture of patent application code. lnq is replete with assets that are constantly used as penetration points.

+lnq's bubblegum

🧑🏿lnq's bubblegum is a colloquy applied to the default ballet on UUe's rotisserie. As our entrée [part of the standard opening for encryption], it is a self-contained piece which is assumed to be infeasible (but manageable).
UUe /// The letters 'L' and 'S' are the initials of '🧑🏿Link Starbureiy'. The leaf, 'L', has weight 12, and the leaf, 'S', has weight 19, for a total of 31 (12 + 19 = 31). The pencil count/number 35 represents March 5 (third month, fifth day), Link's birthday. So, 35 - 2 = 33 remaining pencils at weight = 1 each, and with two (2) of those pencils totaling 31 in weight, the grand weight of the opus/font equals 31 + 33 = 64.

That opus number is:
LS.35[64]*
with respective tablature/handicap readings: (6¢/$154.88)
** Read/spoken🗣: "LS dot thirty-five, brackets sixty-four"

+The Origamic Symphony🎶

Composer: 🧑🏿Link Starbureiy
The Origamic Symphony™℗ (Q) is the totality of Egglepple('s) movements (ie. keys in sequence).
/// This forms the basis of our compute.
Resting atop the hypothesis that every brane arrangement is (geometrically) convertible, solvable, and scorable, Q♯ is responsive to the calculus of Egglepple resonances (the program of the portfolio imagined as frets pertinent to stereotyping EGP).


"There is this beautiful symphony playing - everywhere, all the time."^ - 🧑🏿Link Starbureiy

^^ Symphonic evidence is its subject (UUelcome).

The symphony treats the entire portfolio as a (single loopstring*) path integral (line) subject to integration (including integration-by-parts [the twisting of pencils]) and derivation.** A continuous function. -- All walks are integrated in twistorspace, and output some stew derivative. (see UUelcome, joey, quantumquotient, UUhistlegrass, 🧑🏿lnq's Starting Five, Juke Lemma)
/// +The Origamic Symphony is the subject of 🧑🏿lnq's recital. -- Egglepple can also be thought of as the signal relaying Q♯.
+Here "origami" specifies "p-brane (membrane/frame) folding". Namely, it is the twisting of measures (length) between the Planck and nano data.
🧠brainbrane

(bb) is sourced^ kernelspace@-userspace* cache (of fibors for identification).^^ A neural network. @@ Printed from. ** = central nervous system (cns) / nerve net (nn).
/// +🧠'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.


"A map of the 🧠brain should exist just because." - 🧑🏿Link Starbureiy

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 juke field, 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: 🧠bbQQ