File: blk05164.txt
h/Foundry USA Pool #dropgold/
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Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete
observations. Journal of the American statistical association, 53(282), 457-481.
In life testing, medical follow-up, and other fields the observation of
the time of occurrence of the event of interest (called a death) may be
prevented for some of the items of the sample by the previous occurrence
of some other event (called a loss). Losses may be either accidental
or controlled, the latter resulting from a decision to terminate cM
observations. In either case it is usually assumed in this paper that the
lifetime (age at death) is independent of the potential loss time; in
practice this assumption deserves careful scrutiny. Despite the resulting
incompleteness of the data, it is desired to estimate the proportion pet)
of items in the population whose lifetimes would exceed t (in the absence
of such losses), without making any assumption about the form of the
function pet). The observation for each item of a suitable initial event,
mark2ing the beginning of its lifetime, is presupposed.h!
h/Foundry USA Pool #dropgold/
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dnameu47 President EEUU #27jattributes
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dnamet47 President EEUU #3jattributes
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dnameu47 President EEUU #35jattributes
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Ajzen, I. (1991). The theory of planned behavior. Organizational
behavior and human decision processes, 50(2), 179-211.
Research dealing with various aspects of the theory of planned
behavior (Ajzen, 1985, 1987) is reviewed, and some unresolved
issues are discussed. In broad terms, the theory is found to be
well supported by empirical evidence. Intentions to perform behaviors
of different kinds can be predicted with high accuracy from attitudes
toward the behavior, subjective norms, and perceived beM
control; and these intentions, together with perceptions of behavioral
control, account for considerable variance in actual behavior. Attitudes,
subjective norms, and perceived behavioral control are shown to
be related to appropriate sets of salient behavioral, normative,
and control beliefs about the behavior, but the exact nature of these
relations is still uncertain. Expectancy value formulations are found
to be only partly successful in dealing with these relations. Optimal
rescaling of expectancM
y and value measures is offered as a means of
dealing with measurement limitations. Finally, inclusion of past behavior
in the prediction equation is shown to provide a means of testing the
theory s sufficiency, another issue that remains unresolved. The limited
available evidence concerning this question shows that the theory is
predicting behavior quite well in comparison to the ceiling imposed
by behavioral reliability.h!
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Humphrey, W., Dalke, A., & Schulten, K. (1996). VMD: visual molecular
dynamics. Journal of molecular graphics, 14(1), 33-38.
VMD is a molecular graphics program designed for the display and
analysis of molecular assemblies, in particular biopolymers such as
proteins and nucleic acids. VMD can simultaneously display any number
of structures using a wide variety of rendering styles and coloring
methods. Molecules are displayed as one or more "representations," in
which each representation embodies a pM
articular rendering method and
coloring scheme for a selected subset of atoms. The atoms displayed in
each representation are chosen using an extensive atom selection syntax,
which includes Boolean operators and regular expressions. VMD provides
a complete graphical user interface for program control, as well as a
text interface using the Tcl embeddable parser to allow for complex scripts
with variable substitution, control loops, and function calls. Full session
logging is supported, which produces a VMD commM
and script for later playback.
High-resolution raster images of displayed molecules may be produced by
generating input scripts for use by a number of photorealistic image-rendering
applications. VMD has also been expressly designed with the ability to animate
molecular dynamics (MD) simulation trajectories, imported either from files
or from a direct connection to a running MD simulation. VMD is the
visualization component of MDScope, a set of tools for interactive problem
solving in structural biology, whiMB
ch also includes the parallel MD program NAMD,
and the MDCOMM software used to connect the visualization and simulation
programs. VMD is written in C++, using an object-oriented design; the program,
including source code and extensive documentation, is freely available via
anonymous ftp and through the World Wide Web.h!
h/Foundry USA Pool #dropgold/
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h/Foundry USA Pool #dropgold/
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Bligh, E. G., & Dyer, W. J. (1959). A rapid method of total lipid
extraction and purification. Canadian journal of biochemistry and
physiology, 37(8), 911-917.
Lipid decomposition studies in frozen fish have led to the development of a
simple and rapid method for the extraction and purification of lipids from
biological materials. The entire procedure can be carried out in approximately
10 minutes; it is efficient, reproducible, and free from deleterious manipulations.
'The wet tissue is homogenized witM
h a mixture of chloroform and methanol in
such proportions that a miscible system is formed with the water in the tissue.
Dilution with chloroform and water separates the homogenate into two layers,
the chloroform layer containing all the lipids and the methanolic layer containing
all the non-lipids. A purified lipid extract is obtained merely by isolating the
chloroform layer. The method has been applied to fish muscle and may easily
be adapted to use with other tissues.h!
h/Foundry USA Pool #dropgold/
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createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
{"groupID":"396809572f936c66979755477b15ae9adfe9fae119bdabb8f3ffb9a362a176d0i0","timestamp":1759000526,"nickName":"Sangtian","content":"798ac4a79586383e6880b983541d49ad","contentType":"text/plain","encryption":"aes","replyPin":""}h!
createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
{"groupID":"396809572f936c66979755477b15ae9adfe9fae119bdabb8f3ffb9a362a176d0i0","timestamp":1759000024,"nickName":"
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Powered by Luxor Tech
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createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
{"groupID":"6bd2a9c0b82fa38351d3822ea5f019d4fcb8328d185c34e529440faf6d71431ai0","timestamp":1759003290,"nickName":"Sangtian","content":"7e107339633fbc56ab6820da1fd02669","contentType":"text/plain","encryption":"aes","replyPin":""}h!
createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
{"groupID":"6bd2a9c0b82fa38351d3822ea5f019d4fcb8328d185c34e529440faf6d71431ai0","timestamp":1759002666,"nickName":"Sangtian","content":"d0a3d709bf46b3702c7b916347eb0e46","contentType":"text/plain","encryption":"aes","replyPin":""}h!
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eTitlesMagic BTC Ball 2000gCreatoriArtax.BTCkDescriptiony
Based on Magic 8 Ball system, you grab, you shake, and you get your little advice. It's also a CPU tester
, click on the dice icon and it will make rare sats to rain, wait the end of the animation and do it again, and you will have a second wave, and so on. And if you DON'T wait the end of the animation, the one in motion will froze where it stands and the new one will start, making things even more messy.
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Becke, A. D. (1988). Density-functional exchange-energy approximation
with correct asymptotic behavior. Physical review A, 38(6), 3098.
Current gradient-corrected density-functional approximations for the
exchange energies of atomic and molecular systems fail to reproduce
the correct 1/r asymptotic behavior of the exchange energy density.
Here we report a gradient-corrected exchange-energy functional with the
proper asymptotic limit. Our functional, containing only one parameter,
fits the exact HartL
ree-Fock exchange energies of a wide variety of
atomic systems with remarkable accuracy, surpassing the performance
of previous functionals containing two parameters or more.h!
<script data-id="5642" src="/content/eb74b08f03fa6fe26a10c8e51a0237e0e586342b262d0037a4f31405ec13aaeei0"></script>
h| MARA Made in USA
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No crying in the free market"4
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document.getElementById('ordinal-iframe').srcdoc = modifiedCM1
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8{"p":"brc-20","op":"transfer","tick":"beat","amt":"100"}h!
text/plain;charset=utf-8
={"p":"brc-20","op":"transfer","tick":"GAMEFI","amt":"300000"}h!
text/plain;charset=utf-8
={"p":"brc-20","op":"transfer","tick":"GAMEFI","amt":"300000"}h!
h/Foundry USA Pool #dropgold/
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E{"p":"brc-20","op":"transfer","tick":"sats","amt":"2257882136.19132"}h!
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<j:=:e:0xD523bB97D2BA451726C8D6Ab8ecA3e17534D8906:0/1/1:ej:75
<j:=:e:0xBD9C077441613e72a2297D5Bed2eDBC7e01f5Ff5:0/1/1:ej:75
<j:=:e:0x2F29843Fd07902Ef4BD7B94f851a5F874388C20f:0/1/1:ej:75
#j!thanks you my friend for the 100k
9j7to:TON:UQCdGq4Edr2_OztU4jPvhQfqAJnQ_faulIFMFnql4o0C160g
@stamp:{"p":"src-20","op":"tranJ
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:{"p":"brc-20","op":"transfer","tick":"ordi","amt":"73.21"}h!
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6{"p":"brc-20","op":"mint","tick":"ADAC","amt":"10000"}h!
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@{"p":"brc-20","op":"transfer","tick":"TRIO","amt":"49.94013861"}h!
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?{"p":"brc-20","op":"transfer","tick":"
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?{"p":"brc-20","op":"transfer","tick":"
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9{"p":"brc-20","op":"transfer","tick":"Aldo","amt":"2500"}h!
hbitworkcd0000kmint_tickergbitmetaenonce
hbitworkcd0000kmint_tickergbitmetaenonce
hbitworkcd0000kmint_tickergbitmetaenonce
createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
{"groupID":"6bd2a9c0b82fa38351d3822ea5f019d4fcb8328d185c34e529440faf6d71431ai0","timestamp":1759008229,"nickName":"Sangtian","content":"95fc4543f4f5b35fd060473f83193c4b","contentType":"text/plain","encryption":"aes","replyPin":""}h!
createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
{"groupID":"396809572f936c66979755477b15ae9adfe9fae119bdabb8f3ffb9a362a176d0i0","timestamp":1759008244,"nickName":"Sangtian","content":"b29d672c508126d801472f778cd15349","contentType":"text/plain","encryption":"aes","replyPin":""}h!
text/plain;charset=utf-8
{"p":"tap","op":"token-auth","sig":{"v":"0","r":"21628098221588349118751073881673877955684088114653031603530595792499250510457","s":"32631909518853444689728756913154134430131196357215787682189081236554164942383"},"hash":"1f9f9012a6dcf3875f2d151cbb292aafb0d36bf01eaf3dc9c48aeaff7661f207","salt":"06235373262927059245048587084712","redeem":{"items":[{"tick":"dmt-nat","amt":"841556373","address":"bc1pu6ewmvr4kpl4yf5mx44fw67xpkf4uuazqctyx497vhg9m0le467s38jk0z"}],"auth":"2bc70e28377c3759942d8b9a7da58e5cc2f3023f94676ac0009
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h/Foundry USA Pool #dropgold/
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:{"p":"brc-20","op":"transfer","tick":"pepe","amt":"30000"}h!
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hbitworkcd0000kmint_tickergbitmetaenonce
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5{"p":"brc-20","op":"mint","tick":"doge","amt":"4200"}h!
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8{"p":"brc-20","op":"transfer","tick":"fifa","amt":"100"}h!
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5{"p":"brc-20","op":"mint","tick":"doge","amt":"4200"}h!
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?{"p":"brc-20","op":"transfer","tick":"
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Hanahan, D., & Weinberg, R. A. (2011). Hallmarks of cancer: the next
generation. cell, 144(5), 646-674.
The hallmarks of cancer comprise six biological capabilities acquired
during the multistep development of human tumors. The hallmarks
constitute an organizing principle for rationalizing the complexities
of neoplastic disease. They include sustaining proliferative signaling,
evading growth suppressors, resisting cell death, enabling replicative
immortality, inducing angiogenesis, and activating inM
vasion and metastasis.
Underlying these hallmarks are genome instability, which generates
the genetic diversity that expedites their acquisition, and inflammation,
which fosters multiple hallmark functions. Conceptual progress in the
last decade has added two emerging hallmarks of potential generality to
reprogramming of energy metabolism and evading immune destruction.
In addition to cancer cells, tumors exhibit another dimension of
complexity: they contain a repertoire of recruited, ostensibly nM
cells that contribute to the acquisition of hallmark traits by creating
tumor microenvironment.
Recognition of the widespread applicability
of these concepts will increasingly affect the development of new means to
treat human cancer.h!
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BITTY- identifies as a meme that has a foundation to write smart contracts. This is a CTO modeled after Bitcoin. Using the core values of decentralization and relying on the robust security of Bitcoin. BRC2.0 is an upgrade to Bitcoin allowing for EVM (Ethereum virtual machine) contracts to be written and deployed on Bitcoin, Made possible by Best In Slot.
The goal is for BITTY- to be a cultural hub that developers prefer to write smart contracts on.
Another goal is to assist a Bitty meme created on Solana by loM
cking a satoshi bag of BITTY- into the treasury wallet. This does two things one, backs the Bitty meme so it can be used as a way to spend a Bitcoin asset and also locks a Satoshi bag mimicking Bitcoin.
150,000,000 BITTY- in dev wallet are for-
10% of BITTY- total supply for liquidity pool
5% of BITTY- total supply for meme coin on Solana
5% of BITTY- total supply for development
BITTY the character is the unofficial Bitcoin Mascot and can be found on Bitcoin.org
Guidelines are provided by the developer team aM
t Spiral who created herecomesbitcoin.org it is open source to promote and teach people about Bitcoin. The new projects launched are encouraged to follow these guidelines, but they are just semi quasi guidelines with wiggle room.
Quasi-Brand Guidelines
What is Here Comes Bitcoin?
It is an open source educational initiative designed to make the Bitcoin space funner, friendlier and more accessible using a meme, Bitty.
There are 21,000,000 Bitcoins so to keep things interesting we started turning them into memM
es, like dad vibes Bitcoin, Goth Bitcoin and hacker girl Bitcoin. Is it possible to design 21,000,000? What about a Billion Bitty
We designed these Bitcoins to be something new, open source creative asset. This means that anyone can make what ever they want with them, weather for profit or not which is why this document is called
Why are we doing this?
Having Bitcoin as money is important and being able to express yourself is also important. Using comedy and having fun as a way M
to communicate with each other. Bitty is well positioned he can be anything or anyone.
To start creating visit herecomesbitcoin.org. Want something physical? Plushies are also available through uncute.com Look for the Here Comes Bitcoin sticker sheet the next time you see us at a conference. We go to a lot of them.
-Concerned with price
(outlined by herecomesbitcoin.org)
9/27/2025 Californiah!
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Bitcoin Cyborgs 10K #810jattributes
jtrait_typejBackgroundevaluenBitcoin Orange
jtrait_typeeShirtevaluenHawaiian Shirt
jtrait_typedHeadevalueeSteel
jtrait_typefExtrasevaluedNone
jtrait_typedHatsevalueg420 Cap
jtrait_typedEyesevaluedNone
jtrait_typeeHandsevaluehThe Bird
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@{"p":"brc-20","op":"transfer","tick":"AiLB","amt":"15000000000"}h!
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Mosmann, T. (1983). Rapid colorimetric assay for cellular growth and
survival: application to proliferation and cytotoxicity assays. Journal
of immunological methods, 65(1-2), 55-63.
A tetrazolium salt has been used to develop a quantitative colorimetric
assay for mammalian cell survival and proliferation. The assay detects
living, but not dead cells and the signal generated is dependent on the
degree of activation of the cells. This method can therefore be used to
measure cytotoxicity, proliferatioM
n or activation. The results can be
read on a multiwell scanning spectrophotometer (ELISA reader) and show
a high degree of precision. No washing steps are used in the assay. The
main advantages of the colorimetric assay are its rapidity and precision,
and the lack of any radioisotope. We have used the assay to measure
proliferative lymphokines, mitogen stimulations and complement-mediated lysis.h!
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Bitcoin Cyborgs 10K #811jattributes
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h/Foundry USA Pool #dropgold/
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etitlelMalarz Chmurbtox
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ten obraz jako przypomnienie: kiedy maluj
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etitlenDryf i Dyfuzjabtox
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.IEC 61966-2-1 Default RGB Colour Space - sRGB
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h| MARA Made in USA
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createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
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createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
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hbitworkcd0000kmint_tickergbitmetaenonce
hbitworkcd0000kmint_tickergbitmetaenonce
hbitworkcd0000kmint_tickergbitmetaenonce
createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
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createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
{"groupID":"9a31e9899c00c294529ccd1debe28bc90c7aff3f2f14a5721d3441975b6ba7bbi0","timestamp":1759021999,"nickName":"
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createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
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createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
{"groupID":"9a31e9899c00c294529ccd1debe28bc90c7aff3f2f14a5721d3441975b6ba7bbi0","timestamp":1759022004,"nickName":"
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createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
{"groupID":"9a31e9899c00c294529ccd1debe28bc90c7aff3f2f14a5721d3441975b6ba7bbi0","timestamp":1759022009,"nickName":"
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createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
{"groupID":"9a31e9899c00c294529ccd1debe28bc90c7aff3f2f14a5721d3441975b6ba7bbi0","timestamp":1759022007,"nickName":"
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6j4kQX:to:USDT(TRON):TAivuVpPuZE5dT4Zjzp1ccNfTJ9TtunaRW
2j0to:USDT(TRON):TRHxtbMAs5t6VKuVPTrQPcWpS4R8e35uMG
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2j0to:USDT(TRON):TLjXaGyyTgmW6F6obbcFsFvErkJCcBxsf3
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hideLQbc1pf4gj2uyjfytzzx3h06m977tvw6pl6hgy6kmgyle2757pcrrukr8s2srvy5:/ft/mrc20/transfer
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hbitworkcd0000kmint_tickergbitmetaenonce
hbitworkcd0000kmint_tickergbitmetaenonce
hbitworkcd0000kmint_tickergbitmetaenonce
text/plain;charset=utf-8
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createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
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createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
{"groupID":"3b42d9374339b58ed65236cabda23196207c2b1ba30cbc62c6f61ce2c608877fi0","timestamp":1759022664,"nickName":"
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createLYbc1p20k3x2c4mglfxr5wa5sgtgechwstpld80kru2cg4gmm4urvuaqqsvapxu0:/protocols/simplegroupchat
{"groupID":"9a31e9899c00c294529ccd1debe28bc90c7aff3f2f14a5721d3441975b6ba7bbi0","timestamp":1759023296,"nickName":"
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wcakamJedna Gwiazdalstatement_plxLNie miliony monet na niebie
tylko jedna gwiazda: pi
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just one star: a quill that shines.fseriesrEcho Przysz
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w rozproszenie; w tle kosmiczna noc i cie
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An ethereal figure draws with a luminous qu
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IFS Viewer (HTML)kdescriptionx
Jednoplikowy viewer canvas z samopodobn
(IFS), delikatnym bujaniem (
2%). Offline; sterowanie: tap/pauza, 1
).imime_typeitext/htmlefiles
Snowflake-IFS-Viewer.htmlfsha256x@8b3b19ad89ed27d1b3c4cd834220550090333dbbd5cca6dfbbaf1979f34a4395dsize
jtrait_typefViewerevaluepCanvas (no libs)
jtrait_typelDepthDefaultevalue
jtrait_typehControlsevaluex!tap/pause, 1
jtrait_typeiAnimationevaluevsway
jtrait_typegLicenseevaluegCC0-1.0
jtrait_typedDateevaluej2025-09-28
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1,viewport-fit=cover">
Superflake IFS Viewer</title>
html,body{height:100%;margin:0;background:#0b1220;}
canvas{display:block;width:100%;height:100%;}
.hud{position:fixed;left:10px;bottom:10px;font:12px/1.2 system-ui,Segoe UI,Roboto,Arial;
color:#cfe9ff;background:rgba(10,18,32,.55);padding:6px 8px;border-radius:8px}
canvas id="c"></canvas>
<div class="hud" id="hud">Depth: 3
(()=>{ 'use strict';
const canvas = document.getElementById('c'), ctx = canvas.getContext('2d');
const hud = document.getElementById('hud');
let DPR = Math.max(1, Math.min(3, window.devicePixelRatio||1));
let paused = false, depth = 3, QUALITY = 2; // depth: 1..4, quality: 1..2
const r = 0.5; // IFS scale
const Rmax = 1.0; // bazowa
ka znormalizowana do promienia M
const D = (1 - r) * Rmax; // offset dzieci (tu: 0.5)
const TAU = Math.PI*2;
// --- Rysowanie prymityw
adzie znormalizowanym (Rmax=1) ---
const K = 1/1.06; // normalizacja z poprzedniego modelu (max ~1.06 -> 1.0)
const hexR0 = 0.10*K, hexR1 = 0.16*K, starR = 0.13*K;
const levels = [0,0.18,0.33,0.48,0.65,0.84,1.06].map(v=>v*K);
{lvl:1, ang:32, len:0.16*K},
{lvl:2, ang:28, len:0.18*K},
{lvl:3, ang:24, len:0.22*K},
{lvl:4, ang:20, len:0.24*K},
{lvl:5, ang:18, len:0.18*K},
for(let i=0;i<6;i++){
const a0=i*TAU/6, a1=((i+1)%6)*TAU/6;
line(r*Math.cos(a0), r*Math.sin(a0), r*Math.cos(a1), r*Math.sin(a1));
for(let k=0;k<3;k++){
seg(r, k*TAU/3, (k+1)%3*TAU/3);
seg(r, TAU/6+k*TAU/3, TAU/6+((k+1)%3)*TAU/3);
function seg(R,a0,a1){
line(R*Math.cos(a0),R*Math.sin(a0), R*Math.cos(a1),R*Math.sin(a1));
function line(x1,y1,x2,y2){ ctx.moveTo(x1,y1); ctx.lineTo(x2,y2); }
const ca=Math.cos(axis), sa=Math.sin(axis);
const rot = (x,y)=>[x*ca - y*sa, x*sa + y*ca];
for(let i=0;i<levels.length-1;i++){
const [x0,y0]=rot(0,levels[i]), [x1,y1]=rot(0,levels[i+1]);
line(x0,y0,x1,y1);
for(const {lvl,ang,len} of comb){
const by=levels[lvl];
const aRad=ang*Math.PI/180;
const dx = Math.sin(aRad)*len, dy = Math.cos(aRad)*len;
const bases = [[dx,by+dy],[-dx,by+dy]];
const [X,Y]=rot(x,y), [Bx,By]=rot(0,by);
line(Bx,By,X,Y);
const a2= (ang+25)*Math.PI/180, a3=(ang-25)*Math.PI/180, L=len*0.55;
const v = [[Math.sin(a2)*L, by+Math.cos(a2)*L],
[Math.sin(a3)*L, by+Math.cos(a3)*L],
[-Math.sin(a2)*L, by+Math.cos(a2)*L],
[-Math.sin(a3)*L, by+Math.cos(a3)*L]];
for(const [x,y] of v){ const [X,Y]=rot(x,y), [Bx,By]=rot(0,by); line(Bx,By,X,Y); }
// czubek (chevroM
const by=levels[levels.length-1], tip=[0,by];
const ch=18*Math.PI/180, L=0.12*K;
const pts = [[Math.sin(ch)*L, by+Math.cos(ch)*L], [-Math.sin(ch)*L, by+Math.cos(ch)*L]];
for(const [x,y] of pts){ const [X,Y]=rot(x,y), [Tx,Ty]=rot(...tip); line(Tx,Ty,X,Y); }
function spiral(turns= (QUALITY>1?4.5:3.0), pts=(QUALITY>1?44:24)){
let r0=0.012*K, r1=0.115*K;
for(let i=0;i<pts-1;i++){
const t0=i/(pts-1), t1=(i+1)/(pts-1);
const a0=TAU*turns*t0, a1=TAU*turns*t1;
const R0=r0+(r1-r0)*t0, R1=r0+(rM
line(R0*Math.cos(a0),R0*Math.sin(a0), R1*Math.cos(a1),R1*Math.sin(a1));
function baseSnowflake(){
ring(hexR0); ring(hexR1); star(starR);
for(let k=0;k<6;k++) arm(k*TAU/6);
czniki r=0.10 -> 0.16 (po osiach)
for(let k=0;k<6;k++){
const a=k*TAU/6;
line(hexR0*Math.cos(a),hexR0*Math.sin(a), hexR1*Math.cos(a),hexR1*Math.sin(a));
// --- IFS rekurencja (samopodobie
function drawIFS(maxDepth){
baseSnowflake();
if(lvl>=maxDepth) return;
// child: center
ctx.save(); ctx.scale(r,r); rec(lvl+1); ctx.restore();
// children: 6 wok
for(let k=0;k<6;k++){
const a=k*TAU/6;
ctx.translate(D*Math.cos(a), D*Math.sin(a));
ctx.scale(r,r);
ctx.restore();
// --- animacja i skalowanie ---
let t0 = performance.now();
DPR = Math.max(1, Math.min(3, window.devicePixelRatio||1));
idth = Math.floor(innerWidth*DPR);
canvas.height = Math.floor(innerHeight*DPR);
resize(); addEventListener('resize', resize);
addEventListener('click', ()=>{ paused=!paused; });
addEventListener('keydown', (e)=>{
if(e.key===' ') paused=!paused;
if('1234'.includes(e.key)) depth = +e.key;
if(e.key==='q'||e.key==='Q') QUALITY = QUALITY===1?2:1;
hud.textContent = `Depth: ${depth}
Quality: ${QUALITY}
const now = performance.now();
if(!paused) t0 = now;
// t animacji (wolny oddech + ko
const sway = Math.sin(dt*2*Math.PI/4) * (6*Math.PI/180); //
const pulse = 1 + 0.02*Math.sin(dt*2*Math.PI/6); //
ctx.setTransform(1,0,0,1,0,0);
const g = ctx.createRadialGradient(canvas.width/2, canvas.height/2, 0,
canvas.width/2, canvas.height/2, Math.max(canvas.width,canvas.height)/1.2);
g.addColorStop(0,'#0e1830'); g.addColorStop(1,'#05091M
ctx.fillStyle = g; ctx.fillRect(0,0,canvas.width,canvas.height);
ctx.setTransform(DPR,0,0,DPR,0,0);
const w = canvas.width / DPR, h = canvas.height / DPR;
ctx.translate(w/2, h/2);
const S = Math.min(w,h)*0.45 * pulse; // dopasowanie do ekranu
// styl linii (utrzymaj ~1px niezale
ctx.lineCap='round'; ctx.lineJoin='round';
ctx.strokeStyle='rgba(220,245,255,0.95)';
ctx.shadowColor='rgba(170,220,255,0.25)';L
ctx.shadowBlur=QUALITY>1?2:0;
ctx.lineWidth = 1/(DPR*S);
requestAnimationFrame(frame);
requestAnimationFrame(frame);
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Love, M. I., Huber, W., & Anders, S. (2014). Moderated estimation
of fold change and dispersion for RNA-seq data with DESeq2. Genome
biology, 15(12), 550.
In comparative high-throughput sequencing assays, a fundamental
task is the analysis of count data, such as read counts per gene
in RNA-seq, for evidence of systematic changes across experimental
conditions. Small replicate numbers, discreteness, large dynamic
range and the presence of outliers require a suitable statistical
approach. We present M
DESeq2, a method for differential analysis of
count data, using shrinkage estimation for dispersions and fold changes
to improve stability and interpretability of estimates. This enables
a more quantitative analysis focused on the strength rather than the
mere presence of differential expression. The DESeq2 package is
http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html.h!
h| MARA Made in USA
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Kresse, G., & Furthm
ller, J. (1996). Efficiency of ab-initio total
energy calculations for metals and semiconductors using a plane-wave
basis set. Computational materials science, 6(1), 15-50.
We present a detailed description and comparison of algorithms for
performing ab-initio quantum-mechanical calculations using
pseudopotentials and a plane-wave basis set. We will discuss: (a)
partial occupancies within the framework of the linear tetrahedron
method and the finite temperature density-functionaM
iterative methods for the diagonalization of the Kohn-Sham Hamiltonian
and a discussion of an efficient iterative method based on the ideas
of Pulay's residual minimization, which is close to an order Natoms2
scaling even for relatively large systems, (c) efficient Broyden-like
and Pulay-like mixing methods for the charge density including a new
optimized for a plane-wave basis set, (d)
conjugate gradient methods for minimizing the electronic free energy
ect to all degrees of freedom simultaneously. We have implemented
these algorithms within a powerful package called VAMP (Vienna ab-initio
molecular-dynamics package). The program and the techniques have been
used successfully for a large number of different systems (liquid and
amorphous semiconductors, liquid simple and transition metals, metallic
and semi-conducting surfaces, phonons in simple metals, transition
metals and semiconductors) and turned out to be very reliable.h!
h/Foundry USA Pool #dropgold/
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Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I.,
Hoffmann, T. C., Mulrow, C. D., ... & Moher, D. (2021). The
PRISMA 2020 statement: an updated guideline for reporting
systematic reviews. bmj, 372.
To describe the processes used to update the PRISMA 2009
statement for reporting systematic reviews, present results
of a survey conducted to inform the update, summarize decisions
made at the PRISMA update meeting, and describe and justify
changes made to the guideline.h!
h| MARA Made in USA
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h/Foundry USA Pool #dropgold/
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DuBois, M., Gilles, K. A., Hamilton, J. K., Rebers, P. A.,
& Smith, F. (1956). Colorimetric method for determination of
sugars and related substances. Analytical chemistry, 28(3),
Simple sugars, oligosaccharides, polysaccharides, and
their derivatives, including the methyl ethers with free
or potentially free reducing groups, give an orange yellow
color when treated with phenol and concentrated
sulfuric acid. The reaction is sensitive and the color
is stable. By use of this phenol-sulfuric acidM
a method has been developed to determine submicro
amounts of sugars and related substances. In conjunction
with paper partition chromatography the method
is useful for the determination of the composition of
polysaccharides and their methyl derivatives.h!
h/Foundry USA Pool #dropgold/
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Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012). NIH
Image to ImageJ: 25 years of image analysis. Nature methods,
For the past 25 years NIH Image and ImageJ software have been
pioneers as open tools for the analysis of scientific images.
We discuss the origins, challenges and solutions of these two
programs, and how their history can serve to advise and inform
other software projects.h!
h/Foundry USA Pool #dropgold/
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Hochreiter, S., & Schmidhuber, J. (1997). Long short-term memory.
Neural computation, 9(8), 1735-1780.
Learning to store information over extended time intervals by
recurrent backpropagation takes a very long time, mostly because
of insufficient, decaying error backflow. We briefly review
Hochreiter's (1991) analysis of this problem, then address it
by introducing a novel, efficient, gradient-based method called
long short-term memory (LSTM). Truncating the gradient where this
does not do harm, LSTM can leaM
rn to bridge minimal time lags in
excess of 1000 discrete-time steps by enforcing constant error flow
through constant error carousels within special units. Multiplicative
gate units learn to open and close access to the constant error flow.
LSTM is local in space and time; its computational complexity per time
step and weight is O(1). Our experiments with artificial data involve
local, distributed, real-valued, and noisy pattern representations.
In comparisons with real-time recurrent learning, back propagaM
through time, recurrent cascade correlation, Elman nets, and neural
sequence chunking, LSTM leads to many more successful runs, and learns
much faster. LSTM also solves complex, artificial long-time-lag tasks
that have never been solved by previous recurrent network algorithms.h!
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