- Last 7 days
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https://web.archive.org/web/20240702043645/https://github.com/LadybirdBrowser/ladybird Ladybird is a project that aims to become a new independent *nix browser (not borrowing from other engines). There's also a US non-profit founded for it ladybird.org. Still very much in pre-alpha.
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opentext.uoregon.edu opentext.uoregon.edu
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tic.
Note to self to check current research content
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strangehorizons.com strangehorizons.com
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"How do you like the sky?" asked the younger man of the sky-folk. He came out of the fishing cot to watch each evening as I bathed at the river. Usually he looked away, but every so often I felt his eyes on my breasts, my round hips, the forest of curls between my legs. It charmed him that I was "so natural, so unselfconscious," even though every woman is conscious of such things.
The younger man from the sky people asks the narrator about the sky while she's bathing in the river. He seems innocent, but you can tell he's checking her out. He thinks she's "natural and unselfconscious," but she knows every woman is aware of being watched like that. It shows how different cultures see things and how women are seen in different ways.
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Perhaps we were. There had been only two choices at the time of the great exodus: the Ring, where there could be cities and cars and all the conveniences of life as it once was, or Earth and nothing. Most chose the Ring, even though it meant traveling to the great belt of rocks beyond Mars, from which the Earth is merely a tiny pinpoint lost in a black, starry sky. For those who chose Earth, the lama manipa and the rebbe and the storytellers came forth and taught the people anew all the ways they had once scorned. And all the clans everywhere, no matter their chosen ways, swore the same oath: to live simply. Those who could not or would not were exiled to the Ring.
This passage invites readers to consider the complexities of human decisions in extreme circumstances and the enduring power of cultural heritage amidst adversity.
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They bowed, stiffly and with no true humility, but that was all right because I expected no better of them. All my life I had heard tales of the sky-people and how their ways had nearly destroyed the world. I looked each of them in the eye as they straightened and sent my silent message again. You are fools, I said with my shoulders and my legs and my tight strong fists, but I know how much harm fools can do. I will watch you closely.
This reflects a moment of defiance and skepticism towards the sky-people, a mythical group known for their destructive influence on the world. The narrator, embodying strength and resolve, confronts them with a silent but powerful message: a warning against their potential for harm despite their perceived arrogance. Jemisin's use of physical imagery underscores the narrator's determination to vigilantly observe and challenge the sky-people.
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What woman has ever been proof against such a plea from the man she loves? Even if it means betraying all she holds dear. Every daughter must leave her father's house sometime. I never dreamt it would be like this.
This captures Nahautu’s deep emotional conflict and the intense sacrifice she faces.
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"I didn't think dragons were part of your, er, cultural tradition," he said. "Your people have chosen to follow African and Native American ways, right?
The tension between the Earth-dwellers and the sky-people, emphasizing the cultural disconnect and the importance of not making assumptions about others’ beliefs and practices. It also suggests that Nahautu’s culture is more complex and nuanced than the sky man realizes.
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I was a child when the sky changed. I can still remember days when it was endlessly blue, the clouds passive and gentle. The change occurred without warning: one morning we awoke and the sky was a pale, blushing rose
This part of the story marks a major turning point in Nahautu’s world, symbolizing the end of innocence and a new reality. The shift from a calm blue sky to an unexpected rose colored one suggests that big changes can hit without warning.
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developer.mozilla.org developer.mozilla.org
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ith this in mind, let's build up a basic web font example from first principles. It's difficult to demonstrate this using an embedded live ex
Is this entire exercise necessary lol I think i got the gist
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python-crash-course.pages.dev python-crash-course.pages.dev
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def __str__(self): return self.text
インデントが必要そうです。
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csrf token
原文がこうなっているのですが、ここはcsrf_tokenが正しいはずです。
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よ
トル
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view.py
↓typo
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def __str__(self): return self.text
インデントが必要そうです。
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Djangoは小さなプロジェクトでも、100万ユーザーが利用するサイトでも動作します。
この「、」の入れ方だとわかりにくく感じたので、以下のようにしてはどうでしょう。
Djangoは、小さなプロジェクトでも100万ユーザーが利用するサイトでも動作します。
または「、」なしにして
Djangoは小さなプロジェクトでも100万ユーザーが利用するサイトでも動作します。
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です
後ろに「。」が必要そうです。
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www.gurwinder.blog www.gurwinder.blog
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So how do you decide which games to play? The story of gamification offers five broad rules.
1) choose long-term goals - if you did the same thing today for the next 10 years, where would you be? 2) choose hard games - hone skills and build characters through long-term games 3) choose positive-sum games - games where every player is benefitted by playing 4) choose atelic games - games that you enjoy the process of, not the reward 5) - choose immeasurable rewards - freedom, meaning love
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There is, after all, a vacancy in heaven. When God is dead, and nations are atomized, and family seems burdensome, and machines can beat us at our jobs and even at art, and trust and truth are lost in a roiling sea of AI-generated clickbait — what is left but games?
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Companies that exploit our gameplaying compulsion will have an edge over those who don’t, so every company that wishes to compete must gamify in ever more addictive ways, even though in the long term this harms everyone. As such, gamification is not just a fad; it’s the fate of a digital capitalist society. Anything that can be turned into a game sooner or later will be. And the games won’t just be confined to our phones — “extended reality” eyewear like Meta Quest and Apple Vision, once they become normalized, will make playing even harder to avoid.
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On X, meanwhile, there is a self-propagating system known as “the culture war”. This game consists of trying to score points (likes and retweets) by attacking the enemy political tribe. Unlike in a regular war, the combatants can’t kill each other, only make each other angrier, so little is ever achieved, except that all players become stressed by constant bickering. And yet they persist in bickering, if only because their opponents do, in an endless state of mutually assured distraction.
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On Instagram, the main self-propagating system is a beauty pageant. Young women compete to be as pretty as possible, going to increasingly extreme lengths: makeup, filters, fillers, surgery. The result is that all women begin to feel ugly, online and off.
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To illustrate his point, Kaczynski describes a thought experiment involving a forested region occupied by several rival kingdoms. The kingdoms that clear the most land for agriculture can support a larger population, affording them a military advantage. Every kingdom must therefore clear as much forest as possible, or face being conquered by its rivals. The resulting deforestation eventually leads to ecological disaster and the collapse of all the kingdoms. Thus, a trait that is advantageous for every kingdom’s short-term survival leads in the long term to every kingdom’s demise.Kaczynski was describing a “social trap”, a term coined by a student of Skinner, John Platt, who’d theorized that an entire population behaving like pigeons in a Skinner box, each acting only for the next immediate reward, would eventually overexploit a resource, causing ruin for everyone. What Platt called “social traps”, Kaczynski called “self-propagating systems”, because he viewed them as negative-sum games that took on a life of their own, defeating every player to become the only winner. He believed such games not only drove industrialization but also replaced the sense of purpose and meaning that industrialization destroyed. They were thus inextricable from technological advancement, and, in a society like ours, impossible to stop.
social trap/self-propagating systems - the more harm done, the more addicting it is. the more you're winning, the more you're losing
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Put simply, we try to measure what we value, but end up valuing what we measure.And what we measure is rarely what we mean to value. As Skinner showed, the goals of games — points, badges, trophies — are secondary reinforcers that only derive their worth due to their association with something we actually desire. But these associations are often illusory. A click is not the same thing as a food pellet. And points are not the same as progress.
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Kaczynski’s theories eerily prophesize the capture of society by gamification. While he overlooked the benefits of technology, he diligently noted its dangers, recognizing its role in depriving us of purpose and meaning. Today the evidence is everywhere: religion is dying out, Western nations are culturally confused, people are getting married less and having fewer children, and many jobs are threatened by automation, so the traditional pillars of life — God, nation, family, and work — are weakening, and people are losing their value systems. Amid such uncertainty, games, with their well-defined rules and goals, provide a semblance of order and purpose that may otherwise be lacking in people’s lives. Gamification is thus no accident, but an attempt to plug a widening hole in society.
- god, nation, family and work - traditional pillars of life
- it's exactly like cikszentmihalyi had said on flow state, that it's addicting and we'll go to far lengths just to experience it all over again
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Kaczynski argued that such conveniences didn’t make us happy, only aimless. And to stave off this aimlessness, we had to continually set ourselves goals purely to have goals to pursue, which Kaczynski called “surrogate activities”. These included sports, hobbies, and chasing the latest product that ads promised would make us happy.
this is interesting. we set goals just to have goals to pursue. we're chronically addicted to problem-solving.
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These features turned social media into the world’s most addictive status game.
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Respect is so important to humans that it’s a key reason we evolved to play games. Will Storr, in his book The Status Game, charted the rise of game-playing in different cultures, and found that games have historically functioned to organize societies into hierarchies of competence, with score acting as a conditioned reinforcer of status. In other words, all games descend from status games. The association between score and status has grown so strong in our minds that, like pigeons pecking the button long after the food dispenser has stopped dispensing, we’ll chase scores long after everyone else has stopped watching.
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Most of the feedback loops in employment — from salary payments to annual performance appraisals — were torturously long. So Coonradt proposed shortening them by introducing daily targets, points systems, and leaderboards. These conditioned reinforcers would transform work from a series of monthly slogs into daily status games, in which employees competed to fulfil the company’s goals.
- daily targets
- point systems
- leaderboards
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This led him to propose two kinds of reward: primary and conditioned reinforcers. A primary reinforcer is something we’re born to desire. A conditioned reinforcer is something we learn to desire, due to its association with a primary reinforcer. Skinner found that conditioned reinforcers were generally more effective in shaping behavior, because while our biological need for the primary reinforcer is easily satiable, our abstract desire for the conditioned reinforcer isn’t. The pigeons would stop seeking food once their bellies were full, but they’d take far longer to get tired of hearing the food dispenser click.
- primary reinforcer - natural desire
- conditioned reinforcer - we learned to desire on top of a primary reinforcer
conditioned reinforcer are more effective (click > food)
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Skinner’s goal was to make his pigeons peck the button as many times as possible. From his experiments, he made three discoveries. First, the pigeons pecked most when doing so yielded immediate, rather than delayed, rewards. Second, the pigeons pecked most when it rewarded them randomly, rather than every time. Skinner’s third discovery occurred when he noticed the pigeons continued to peck the button long after the food dispenser was empty, provided they could hear it click. He realized the pigeons had become conditioned to associate the click with the food, and now valued the click as a reward in itself.
1) immediate response/feedback 2) reward randomly instead of consistent 3) the click has become a reward too, not just the food
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docs-staging.docs.admlabs.aws.swinfra.net docs-staging.docs.admlabs.aws.swinfra.net
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Click Save.
At the bottom of the doc, can we add one known limitation? Avoid dragging and dropping shared resource when the week view is used, you may run into error when the view is changed. If you get the problem, remove the shared resource you just added and save the staffing profile.
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Click Save.
The characters of a shared resource which has already been added to a staffing profile. 1. They cannot be cloned 2. Open the link of the resource name, the dialog is different with normal positions. (Can show a screenshot)
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Drag the desired resource to the staffing profile to add it as an assignment.
1, When a shared resource is being dragged, the area where the shared resource can be dropped will be highlighted with blue borders. If you want to cancel the drag and drop, you can just move the shared resource out of the highlighted area and release your mouse. 2. Can we attach some screenshots?
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intersectionalthinking.substack.com intersectionalthinking.substack.com
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Or as Leonardo da Vinci declared, “To develop a complete mind: Study the science of art; Study the art of science. Learn how to see. Realize that everything connects to everything else.”
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"Imagination is more important than knowledge. For knowledge is limited, whereas imagination embraces the entire world, stimulating progress, giving birth to evolution." - Albert Einstein
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Seeing things for what it is. That's intelligence.
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metanit.com metanit.com
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b000_0011;
Мы просто работает с последними двумя битами, в них и находится наше значение. мы берём и на два разряда назад, чтоб получить другое число.
а это как раз маска для получения значение, которое находится внутри битовой структуре
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substack.com substack.com
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Someone once said that at least one in five people are writing a novel. I barely know anyone who isn’t. It is still a prestigious form. And so, despite social media – the junk food of communication – literature continues to adapt to the contemporary mood. Where there is digital overload, people are returning to this more relaxed, nutritious analogue mode - reading words on a page.
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What makes a writer a real writer is that they begin to find an audience for their work; readers who are excited by what they find on the page.
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Local file Local file
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I created an expectancy-value-cost form.
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opentext.uoregon.edu opentext.uoregon.edu
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.
Is there a way to get a different thumbnail from this video, and to make it smaller?
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academic-oup-com.proxy2.library.illinois.edu academic-oup-com.proxy2.library.illinois.edu
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The capabilities approach moves away from fairness as justice in that it also notes that equity, an approach to providing people the tools and resources needed to access opportunity, as opposed to equality, giving everyone the same tools and resources needed to access opportunity, may be a more effective means to justice.
As I was reading about the Theory of Justice approach, I found myself asking about the main factors of the capabilities approach. I agree with this approach in that different communities may need different resources. Equity means making these resources accessible for that community while another may need a different issue addressed. We cannot address equality until we, as a society, understand that there are systematic factors that prevent marginalized communities from accessing the resources they need. I appreciate this definition as it helps serve as a good reminder/clarifier on the difference between the two terms.
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“Social workers promote social justice and social change with and on behalf of clients”
As a SASS worker, I am constantly aiming to cultivate social change among my clients. One way I do this is by using an assessment tool called an "IMCAT", and subsequently, "IMCANS" to maintain in-person follow ups with my client. These sessions consist of learning new coping skills and trying to promote healthier behaviors. For my clients that are independent in the community and not children, cultivating social change may simply mean equipping them with the tools and resources they need to be successful.
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www.sciencedirect.com www.sciencedirect.com
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RRID:AB_331768
DOI: 10.1016/j.celrep.2021.108876
Resource: (Cell Signaling Technology Cat# 9106, RRID:AB_331768)
Curator: @Naa003
SciCrunch record: RRID:AB_331768
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www.sciencedirect.com www.sciencedirect.com
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RRID:BDSC_41671
DOI: 10.1016/j.celrep.2021.108875
Resource: (BDSC Cat# 41671,RRID:BDSC_41671)
Curator: @Naa003
SciCrunch record: RRID:BDSC_41671
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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BDSC 31473
DOI: 10.1371/journal.pbio.3000647
Resource: BDSC_31473
Curator: @anisehay
SciCrunch record: RRID:BDSC_31473
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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RRID:SCR_002141
DOI: 10.1101/2024.06.13.598906
Resource: circlize (RRID:SCR_002141)
Curator: @evieth
SciCrunch record: RRID:SCR_002141
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RRID:SCR_014601
DOI: 10.1101/2024.06.13.598906
Resource: ggplot2 (RRID:SCR_014601)
Curator: @scibot
SciCrunch record: RRID:SCR_014601
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RRID:SCR_001905
DOI: 10.1101/2024.06.13.598906
Resource: R Project for Statistical Computing (RRID:SCR_001905)
Curator: @scibot
SciCrunch record: RRID:SCR_001905
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RRID:SCR_015654
DOI: 10.1101/2024.06.13.598906
Resource: R package: lme4 (RRID:SCR_015654)
Curator: @scibot
SciCrunch record: RRID:SCR_015654
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RRID:SCR_001591
DOI: 10.1101/2024.06.13.598906
Resource: Clustal Omega (RRID:SCR_001591)
Curator: @scibot
SciCrunch record: RRID:SCR_001591
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RRID:SCR_007931
DOI: 10.1101/2024.06.13.598906
Resource: Variant Effect Predictor (RRID:SCR_007931)
Curator: @scibot
SciCrunch record: RRID:SCR_007931
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RRID:SCR_010910
DOI: 10.1101/2024.06.13.598906
Resource: BWA (RRID:SCR_010910)
Curator: @scibot
SciCrunch record: RRID:SCR_010910
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RRID:SCR_002105
DOI: 10.1101/2024.06.13.598906
Resource: Samtools (RRID:SCR_002105)
Curator: @scibot
SciCrunch record: RRID:SCR_002105
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RRID:SCR_004463
DOI: 10.1101/2024.06.13.598906
Resource: rna-star (RRID:SCR_004463)
Curator: @scibot
SciCrunch record: RRID:SCR_004463
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RRID:SCR_022376
DOI: 10.1101/2024.06.13.598906
Resource: University of Pennsylvania Perelman School of Medicine Cytomics and Cell Sorting Resource Laboratory Core Facility (RRID:SCR_022376)
Curator: @scibot
SciCrunch record: RRID:SCR_022376
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RRID:AB_3097753
DOI: 10.1101/2024.06.13.598906
Resource: (Abcam Cat# ab220822, RRID:AB_3097753)
Curator: @scibot
SciCrunch record: RRID:AB_3097753
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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RRID:IMSR JAX stock #001976
DOI: 10.1038/s41598-024-65454-x
Resource: (IMSR Cat# JAX_001976,RRID:IMSR_JAX:001976)
Curator: @evieth
SciCrunch record: RRID:IMSR_JAX:001976
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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RRID:SCR_001618
DOI: 10.1158/2767-9764.CRC-24-0026
Resource: GTEx eQTL Browser (RRID:SCR_001618)
Curator: @evieth
SciCrunch record: RRID:SCR_001618
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SCR_006796
DOI: 10.1158/2767-9764.CRC-24-0026
Resource: HaploReg (RRID:SCR_006796)
Curator: @scibot
SciCrunch record: RRID:SCR_006796
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RRID:SCR_009292
DOI: 10.1158/2767-9764.CRC-24-0026
Resource: MINIMAC (RRID:SCR_009292)
Curator: @scibot
SciCrunch record: RRID:SCR_009292
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RRID:SCR_015991
DOI: 10.1158/2767-9764.CRC-24-0026
Resource: Eagle (RRID:SCR_015991)
Curator: @scibot
SciCrunch record: RRID:SCR_015991
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RRID:SCR_004563
DOI: 10.1158/2767-9764.CRC-24-0026
Resource: HapMap 3 and ENCODE 3 (RRID:SCR_004563)
Curator: @scibot
SciCrunch record: RRID:SCR_004563
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RRID:SCR_000291
DOI: 10.1158/2767-9764.CRC-24-0026
Resource: DNASTAR: Lasergene Core Suite (RRID:SCR_000291)
Curator: @scibot
SciCrunch record: RRID:SCR_000291
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RRID:SCR_002338
DOI: 10.1158/2767-9764.CRC-24-0026
Resource: dbSNP (RRID:SCR_002338)
Curator: @scibot
SciCrunch record: RRID:SCR_002338
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RRID:SCR_017905
DOI: 10.1158/2767-9764.CRC-24-0026
Resource: RegulomeDB (RRID:SCR_017905)
Curator: @scibot
SciCrunch record: RRID:SCR_017905
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RRID:SCR_005780
DOI: 10.1158/2767-9764.CRC-24-0026
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Curator: @scibot
SciCrunch record: RRID:SCR_005780
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RRID:SCR_001757
DOI: 10.1158/2767-9764.CRC-24-0026
Resource: PLINK (RRID:SCR_001757)
Curator: @scibot
SciCrunch record: RRID:SCR_001757
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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RRID:SCR_000131
DOI: 10.1093/gigascience/giae036
Resource: SPAdes (RRID:SCR_000131)
Curator: @evieth
SciCrunch record: RRID:SCR_000131
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RRID:SCR_012954
DOI: 10.1093/gigascience/giae036
Resource: RepeatMasker (RRID:SCR_012954)
Curator: @evieth
SciCrunch record: RRID:SCR_012954
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RRID:SCR_012919
DOI: 10.1093/gigascience/giae036
Resource: featureCounts (RRID:SCR_012919)
Curator: @evieth
SciCrunch record: RRID:SCR_012919
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SCR_013048
DOI: 10.1093/gigascience/giae036
Resource: Trinity (RRID:SCR_013048)
Curator: @scibot
SciCrunch record: RRID:SCR_013048
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RRID:SCR_015687
DOI: 10.1093/gigascience/giae036
Resource: DESeq2 (RRID:SCR_015687)
Curator: @scibot
SciCrunch record: RRID:SCR_015687
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RRID:SCR_015530
DOI: 10.1093/gigascience/giae036
Resource: HISAT2 (RRID:SCR_015530)
Curator: @scibot
SciCrunch record: RRID:SCR_015530
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RRID:SCR_011897
DOI: 10.1093/gigascience/giae036
Resource: Rnnotator (RRID:SCR_011897)
Curator: @scibot
SciCrunch record: RRID:SCR_011897
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RRID:SCR_024177
DOI: 10.1093/gigascience/giae036
Resource: Proteinortho (RRID:SCR_024177)
Curator: @scibot
SciCrunch record: RRID:SCR_024177
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RRID:SCR_005026
DOI: 10.1093/gigascience/giae036
Resource: SMART (RRID:SCR_005026)
Curator: @scibot
SciCrunch record: RRID:SCR_005026
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RRID:SCR_001010
DOI: 10.1093/gigascience/giae036
Resource: BLASTP (RRID:SCR_001010)
Curator: @scibot
SciCrunch record: RRID:SCR_001010
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RRID:SCR_007777
DOI: 10.1093/gigascience/giae036
Resource: MEROPS (RRID:SCR_007777)
Curator: @scibot
SciCrunch record: RRID:SCR_007777
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RRID:SCR_011811
DOI: 10.1093/gigascience/giae036
Resource: MAFFT (RRID:SCR_011811)
Curator: @scibot
SciCrunch record: RRID:SCR_011811
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RRID:SCR_017118
DOI: 10.1093/gigascience/giae036
Resource: OrthoFinder (RRID:SCR_017118)
Curator: @scibot
SciCrunch record: RRID:SCR_017118
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RRID:SCR_005312
DOI: 10.1093/gigascience/giae036
Resource: MycoCosm (RRID:SCR_005312)
Curator: @scibot
SciCrunch record: RRID:SCR_005312
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RRID:SCR_006281
DOI: 10.1093/gigascience/giae036
Resource: Galaxy (RRID:SCR_006281)
Curator: @scibot
SciCrunch record: RRID:SCR_006281
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RRID:SCR_015027
DOI: 10.1093/gigascience/giae036
Resource: RepeatModeler (RRID:SCR_015027)
Curator: @scibot
SciCrunch record: RRID:SCR_015027
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RRID:SCR_015008
DOI: 10.1093/gigascience/giae036
Resource: BUSCO (RRID:SCR_015008)
Curator: @scibot
SciCrunch record: RRID:SCR_015008
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RRID:SCR_010755
DOI: 10.1093/gigascience/giae036
Resource: Velvet (RRID:SCR_010755)
Curator: @scibot
SciCrunch record: RRID:SCR_010755
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RRID:SCR_016383
DOI: 10.1093/gigascience/giae036
Resource: Illumina HiSeq 2500 System (RRID:SCR_016383)
Curator: @scibot
SciCrunch record: RRID:SCR_016383
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RRID:SCR_016089
DOI: 10.1093/gigascience/giae036
Resource: Falcon (RRID:SCR_016089)
Curator: @scibot
SciCrunch record: RRID:SCR_016089
Tags
- RRID:SCR_015687
- RRID:SCR_016383
- RRID:SCR_005312
- RRID:SCR_012954
- RRID:SCR_005026
- RRID:SCR_012919
- RRID:SCR_000131
- RRID:SCR_015008
- RRID:SCR_007777
- RRID:SCR_010755
- RRID:SCR_017118
- RRID:SCR_016089
- RRID:SCR_015530
- RRID:SCR_001010
- RRID:SCR_013048
- RRID:SCR_011811
- DOI:10.1093/gigascience/giae036
- RRID:SCR_011897
- RRID:SCR_006281
- RRID:SCR_024177
- RRID:SCR_015027
Annotators
URL
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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The Jackson LaboratoryStock #007909
DOI: 10.7554/eLife.90278
Resource: (IMSR Cat# JAX_007909,RRID:IMSR_JAX:007909)
Curator: @evieth
SciCrunch record: RRID:IMSR_JAX:007909
-
The Jackson LaboratoryStock #006660
DOI: 10.7554/eLife.90278
Resource: (IMSR Cat# JAX_006660,RRID:IMSR_JAX:006660)
Curator: @evieth
SciCrunch record: RRID:IMSR_JAX:006660
-
RRID:AB_2313575
DOI: 10.7554/eLife.90278
Resource: (Vector Laboratories Cat# SP-1120, RRID:AB_2313575)
Curator: @scibot
SciCrunch record: RRID:AB_2313575
-
RRID:AB_2337245
DOI: 10.7554/eLife.90278
Resource: (Jackson ImmunoResearch Labs Cat# 016-170-084, RRID:AB_2337245)
Curator: @scibot
SciCrunch record: RRID:AB_2337245
-
RRID:SCR_024867
DOI: 10.7554/eLife.90278
Resource: neuTube (RRID:SCR_024867)
Curator: @scibot
SciCrunch record: RRID:SCR_024867
-
RRID:SCR_003070
DOI: 10.7554/eLife.90278
Resource: ImageJ (RRID:SCR_003070)
Curator: @scibot
SciCrunch record: RRID:SCR_003070
-
RRID:SCR_002798
DOI: 10.7554/eLife.90278
Resource: GraphPad Prism (RRID:SCR_002798)
Curator: @scibot
SciCrunch record: RRID:SCR_002798
-
RRID:SCR_000325
DOI: 10.7554/eLife.90278
Resource: IGOR Pro (RRID:SCR_000325)
Curator: @scibot
SciCrunch record: RRID:SCR_000325
-
RRID:AB_476743
DOI: 10.7554/eLife.90278
Resource: (Sigma-Aldrich Cat# A5316, RRID:AB_476743)
Curator: @scibot
SciCrunch record: RRID:AB_476743
-
RRID:AB_261587
DOI: 10.7554/eLife.90278
Resource: (Sigma-Aldrich Cat# T0678, RRID:AB_261587)
Curator: @scibot
SciCrunch record: RRID:AB_261587
-
RRID:AB_390204
DOI: 10.7554/eLife.90278
Resource: (Millipore Cat# AB152, RRID:AB_390204)
Curator: @scibot
SciCrunch record: RRID:AB_390204
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:AB_2120942
DOI: 10.12688/f1000research.55351.3
Resource: (Thermo Fisher Scientific Cat# PA1-017, RRID:AB_2120942)
Curator: @scibot
SciCrunch record: RRID:AB_2120942
-
RRID:AB_10978135
DOI: 10.12688/f1000research.55351.3
Resource: (Thermo Fisher Scientific Cat# MA5-11757, RRID:AB_10978135)
Curator: @scibot
SciCrunch record: RRID:AB_10978135
-
RRID:AB_2536771
DOI: 10.12688/f1000research.55351.3
Resource: (Thermo Fisher Scientific Cat# MA1-104, RRID:AB_2536771)
Curator: @scibot
SciCrunch record: RRID:AB_2536771
-
RRID:AB_2725298
DOI: 10.12688/f1000research.55351.3
Resource: (Thermo Fisher Scientific Cat# MA5-26328, RRID:AB_2725298)
Curator: @scibot
SciCrunch record: RRID:AB_2725298
-
RRID:AB_2896345
DOI: 10.12688/f1000research.55351.3
Resource: (Thermo Fisher Scientific Cat# A48282, RRID:AB_2896345)
Curator: @scibot
SciCrunch record: RRID:AB_2896345
-
RRID:AB_10981661
DOI: 10.12688/f1000research.55351.3
Resource: (Thermo Fisher Scientific Cat# MA5-13182, RRID:AB_10981661)
Curator: @scibot
SciCrunch record: RRID:AB_10981661
-
-
pubmed.ncbi.nlm.nih.gov pubmed.ncbi.nlm.nih.gov
-
RRID:AB_3095671
DOI: 10.1210/endocr/bqae071
Resource: (Cayman Chemical Cat# 581001, RRID:AB_3095671)
Curator: @scibot
SciCrunch record: RRID:AB_3095671
-
RRID:AB_2336811
DOI: 10.1210/endocr/bqae071
Resource: (Vector Laboratories Cat# PK-4002, RRID:AB_2336811)
Curator: @scibot
SciCrunch record: RRID:AB_2336811
-
RRID:AB_2142367
DOI: 10.1210/endocr/bqae071
Resource: (Agilent Cat# M7240, RRID:AB_2142367)
Curator: @scibot
SciCrunch record: RRID:AB_2142367
-
RRID:AB_2916034
DOI: 10.1210/endocr/bqae071
Resource: (Vector Laboratories Cat# PI-1000-1, RRID:AB_2916034)
Curator: @scibot
SciCrunch record: RRID:AB_2916034
-
RRID:AB_2336810
DOI: 10.1210/endocr/bqae071
Resource: (Vector Laboratories Cat# PK-4001, RRID:AB_2336810)
Curator: @scibot
SciCrunch record: RRID:AB_2336810
-
RRID:AB_2647505
-
RRID:AB_325809
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:SCR_025311
-
RRID:SCR_002516
DOI: 10.46471/gigabyte.128
Resource: ParaView (RRID:SCR_002516)
Curator: @scibot
SciCrunch record: RRID:SCR_002516
-
RRID:SCR_015013
DOI: 10.46471/gigabyte.128
Resource: VTK (RRID:SCR_015013)
Curator: @scibot
SciCrunch record: RRID:SCR_015013
-
RRID:SCR_008624
DOI: 10.46471/gigabyte.128
Resource: MatPlotLib (RRID:SCR_008624)
Curator: @scibot
SciCrunch record: RRID:SCR_008624
-
RRID:SCR_001622
DOI: 10.46471/gigabyte.128
Resource: MATLAB (RRID:SCR_001622)
Curator: @scibot
SciCrunch record: RRID:SCR_001622
-
RRID:SCR_008394
DOI: 10.46471/gigabyte.128
Resource: Python Programming Language (RRID:SCR_008394)
Curator: @scibot
SciCrunch record: RRID:SCR_008394
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:SCR_002105
DOI: 10.46471/gigabyte.127
Resource: Samtools (RRID:SCR_002105)
Curator: @scibot
SciCrunch record: RRID:SCR_002105
-
RRID:SCR_001757
DOI: 10.46471/gigabyte.127
Resource: PLINK (RRID:SCR_001757)
Curator: @scibot
SciCrunch record: RRID:SCR_001757
-
RRID:SCR_005227
DOI: 10.46471/gigabyte.127
Resource: SAMtools/BCFtools (RRID:SCR_005227)
Curator: @scibot
SciCrunch record: RRID:SCR_005227
-
RRID:SCR_017980
DOI: 10.46471/gigabyte.127
Resource: DNBSEQ-G400 (RRID:SCR_017980)
Curator: @scibot
SciCrunch record: RRID:SCR_017980
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:SCR_015052
DOI: 10.21769/BioProtoc.5016
Resource: SnapGene (RRID:SCR_015052)
Curator: @scibot
SciCrunch record: RRID:SCR_015052
Tags
Annotators
URL
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:SCR_006431
DOI: 10.1038/s41598-024-65640-x
Resource: Parkinson's Progression Markers Initiative (RRID:SCR_006431)
Curator: @scibot
SciCrunch record: RRID:SCR_006431
Tags
Annotators
URL
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:SCR_022608
DOI: 10.1038/s41597-024-03467-x
Resource: Fred Hutchinson Cancer Center Antibody Technology Core Facility (RRID:SCR_022608)
Curator: @scibot
SciCrunch record: RRID:SCR_022608
Tags
Annotators
URL
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
SCR_016137
DOI: 10.7717/peerj.17514
Resource: Microsoft Excel (RRID:SCR_016137)
Curator: @scibot
SciCrunch record: RRID:SCR_016137
-
RRID:SCR_015044
DOI: 10.7717/peerj.17514
Resource: MedCalc (RRID:SCR_015044)
Curator: @scibot
SciCrunch record: RRID:SCR_015044
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:SCR_002798
DOI: 10.1136/jitc-2023-008364
Resource: GraphPad Prism (RRID:SCR_002798)
Curator: @scibot
SciCrunch record: RRID:SCR_002798
Tags
Annotators
URL
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
SCR_014601
DOI: 10.1126/sciadv.adk1296
Resource: ggplot2 (RRID:SCR_014601)
Curator: @scibot
SciCrunch record: RRID:SCR_014601
-
RRID:SCR_016368
DOI: 10.1126/sciadv.adk1296
Resource: Bowtie (RRID:SCR_005476)
Curator: @scibot
SciCrunch record: RRID:SCR_016368
-
RRID:AB_10681025
DOI: 10.1126/sciadv.adk1296
Resource: (Abcam Cat# ab97047, RRID:AB_10681025)
Curator: @scibot
SciCrunch record: RRID:AB_10681025
-
RRID:AB_2615077
DOI: 10.1126/sciadv.adk1296
Resource: (Active Motif Cat# 39159, RRID:AB_2615077)
Curator: @scibot
SciCrunch record: RRID:AB_2615077
-
RRID:SCR_016366
DOI: 10.1126/sciadv.adk1296
Resource: Deeptools (RRID:SCR_016366)
Curator: @scibot
SciCrunch record: RRID:SCR_016366
-
RRID:SCR_007322
DOI: 10.1126/sciadv.adk1296
Resource: SEURAT (RRID:SCR_007322)
Curator: @scibot
SciCrunch record: RRID:SCR_007322
-
RRID:SCR_017344
DOI: 10.1126/sciadv.adk1296
Resource: Cell Ranger (RRID:SCR_017344)
Curator: @scibot
SciCrunch record: RRID:SCR_017344
-
RRID:SCR_018550
DOI: 10.1126/sciadv.adk1296
Resource: Minimap2 (RRID:SCR_018550)
Curator: @scibot
SciCrunch record: RRID:SCR_018550
-
RRID:SCR_021174
DOI: 10.1126/sciadv.adk1296
Resource: CCS (RRID:SCR_021174)
Curator: @scibot
SciCrunch record: RRID:SCR_021174
-
RRID:SCR_003475
DOI: 10.1126/sciadv.adk1296
Resource: Snakemake (RRID:SCR_003475)
Curator: @scibot
SciCrunch record: RRID:SCR_003475
-
RRID:SCR_016323
DOI: 10.1126/sciadv.adk1296
Resource: StringTie (RRID:SCR_016323)
Curator: @scibot
SciCrunch record: RRID:SCR_016323
-
RRID:SCR_016708
DOI: 10.1126/sciadv.adk1296
Resource: dplyr (RRID:SCR_016708)
Curator: @scibot
SciCrunch record: RRID:SCR_016708
-
RRID:SCR_000025
DOI: 10.1126/sciadv.adk1296
Resource: GenomicRanges (RRID:SCR_000025)
Curator: @scibot
SciCrunch record: RRID:SCR_000025
-
RRID:SCR_001905
DOI: 10.1126/sciadv.adk1296
Resource: R Project for Statistical Computing (RRID:SCR_001905)
Curator: @scibot
SciCrunch record: RRID:SCR_001905
-
RRID:SCR_002105
DOI: 10.1126/sciadv.adk1296
Resource: Samtools (RRID:SCR_002105)
Curator: @scibot
SciCrunch record: RRID:SCR_002105
-
RRID:SCR_004463
DOI: 10.1126/sciadv.adk1296
Resource: rna-star (RRID:SCR_004463)
Curator: @scibot
SciCrunch record: RRID:SCR_004463
-
RRID:SCR_014583
DOI: 10.1126/sciadv.adk1296
Resource: FastQC (RRID:SCR_014583)
Curator: @scibot
SciCrunch record: RRID:SCR_014583
-
RRID:SCR_016962
DOI: 10.1126/sciadv.adk1296
Resource: fastp (RRID:SCR_016962)
Curator: @scibot
SciCrunch record: RRID:SCR_016962
Tags
- RRID:SCR_016708
- RRID:SCR_016366
- RRID:SCR_000025
- RRID:SCR_004463
- RRID:AB_10681025
- RRID:SCR_021174
- RRID:SCR_017344
- RRID:SCR_007322
- RRID:SCR_018550
- RRID:SCR_016323
- RRID:SCR_016368
- RRID:SCR_014601
- RRID:SCR_001905
- RRID:SCR_002105
- RRID:SCR_003475
- RRID:SCR_014583
- RRID:AB_2615077
- RRID:SCR_016962
Annotators
URL
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:SCR_003302
DOI: 10.1080/15592324.2024.2371693
Resource: Weighted Gene Co-expression Network Analysis (RRID:SCR_003302)
Curator: @scibot
SciCrunch record: RRID:SCR_003302
-
RRID:SCR_014595
DOI: 10.1080/15592324.2024.2371693
Resource: GenStat (RRID:SCR_014595)
Curator: @scibot
SciCrunch record: RRID:SCR_014595
-
RRID:SCR_002380
DOI: 10.1080/15592324.2024.2371693
Resource: Universal Protein Resource (RRID:SCR_002380)
Curator: @scibot
SciCrunch record: RRID:SCR_002380
-
RRID:SCR_014477
DOI: 10.1080/15592324.2024.2371693
Resource: Proteome Discoverer (RRID:SCR_014477)
Curator: @scibot
SciCrunch record: RRID:SCR_014477
-
RRID:SCR_015753
DOI: 10.1080/15592324.2024.2371693
Resource: Perseus (RRID:SCR_015753)
Curator: @scibot
SciCrunch record: RRID:SCR_015753
-
RRID:SCR_014485
DOI: 10.1080/15592324.2024.2371693
Resource: MaxQuant (RRID:SCR_014485)
Curator: @scibot
SciCrunch record: RRID:SCR_014485
-
RRID:SCR_015687
DOI: 10.1080/15592324.2024.2371693
Resource: DESeq2 (RRID:SCR_015687)
Curator: @scibot
SciCrunch record: RRID:SCR_015687
-
RRID:SCR_001905
DOI: 10.1080/15592324.2024.2371693
Resource: R Project for Statistical Computing (RRID:SCR_001905)
Curator: @scibot
SciCrunch record: RRID:SCR_001905
-
RRID:SCR_006442
DOI: 10.1080/15592324.2024.2371693
Resource: Bioconductor (RRID:SCR_006442)
Curator: @scibot
SciCrunch record: RRID:SCR_006442
-
RRID:SCR_007931
DOI: 10.1080/15592324.2024.2371693
Resource: Variant Effect Predictor (RRID:SCR_007931)
Curator: @scibot
SciCrunch record: RRID:SCR_007931
-
RRID:SCR_005227
DOI: 10.1080/15592324.2024.2371693
Resource: SAMtools/BCFtools (RRID:SCR_005227)
Curator: @scibot
SciCrunch record: RRID:SCR_005227
-
RRID:SCR_013035
DOI: 10.1080/15592324.2024.2371693
Resource: TopHat (RRID:SCR_013035)
Curator: @scibot
SciCrunch record: RRID:SCR_013035
-
RRID:SCR_011834
DOI: 10.1080/15592324.2024.2371693
Resource: AdapterRemoval (RRID:SCR_011834)
Curator: @scibot
SciCrunch record: RRID:SCR_011834
-
RRID:SCR_023676
DOI: 10.1080/15592324.2024.2371693
Resource: OmicsBox (RRID:SCR_023676)
Curator: @scibot
SciCrunch record: RRID:SCR_023676
-
RRID:SCR_012773
DOI: 10.1080/15592324.2024.2371693
Resource: KEGG (RRID:SCR_012773)
Curator: @scibot
SciCrunch record: RRID:SCR_012773
-
RRID:SCR_008680
DOI: 10.1080/15592324.2024.2371693
Resource: Ensembl Plants (RRID:SCR_008680)
Curator: @scibot
SciCrunch record: RRID:SCR_008680
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:SCR_001362
DOI: 10.1523/JNEUROSCI.1757-23.2024
Resource: NiLearn (RRID:SCR_001362)
Curator: @scibot
SciCrunch record: RRID:SCR_001362
-
RRID:SCR_005927
DOI: 10.1523/JNEUROSCI.1757-23.2024
Resource: Analysis of Functional NeuroImages (RRID:SCR_005927)
Curator: @scibot
SciCrunch record: RRID:SCR_005927
-
RRID:SCR_002823
DOI: 10.1523/JNEUROSCI.1757-23.2024
Resource: FSL (RRID:SCR_002823)
Curator: @scibot
SciCrunch record: RRID:SCR_002823
-
RRID:SCR_004757
DOI: 10.1523/JNEUROSCI.1757-23.2024
Resource: ANTS - Advanced Normalization ToolS (RRID:SCR_004757)
Curator: @scibot
SciCrunch record: RRID:SCR_004757
-
RRID:SCR_008796
DOI: 10.1523/JNEUROSCI.1757-23.2024
Resource: ICBM 152 Nonlinear atlases version 2009 (RRID:SCR_008796)
Curator: @scibot
SciCrunch record: RRID:SCR_008796
-
RRID:SCR_002502
DOI: 10.1523/JNEUROSCI.1757-23.2024
Resource: Nipype (RRID:SCR_002502)
Curator: @scibot
SciCrunch record: RRID:SCR_002502
-
RRID:SCR_016216
DOI: 10.1523/JNEUROSCI.1757-23.2024
Resource: FMRIPREP (RRID:SCR_016216)
Curator: @scibot
SciCrunch record: RRID:SCR_016216
-
RRID:SCR_002881
DOI: 10.1523/JNEUROSCI.1757-23.2024
Resource: Psychophysics Toolbox (RRID:SCR_002881)
Curator: @scibot
SciCrunch record: RRID:SCR_002881
-
RRID:SCR_001622
DOI: 10.1523/JNEUROSCI.1757-23.2024
Resource: MATLAB (RRID:SCR_001622)
Curator: @scibot
SciCrunch record: RRID:SCR_001622
-
RRID:SCR_009603
DOI: 10.1523/JNEUROSCI.1757-23.2024
Resource: Mango (RRID:SCR_009603)
Curator: @scibot
SciCrunch record: RRID:SCR_009603
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:AB_467039
DOI: 10.7554/eLife.89319
Resource: (Thermo Fisher Scientific Cat# 14-0019-82, RRID:AB_467039)
Curator: @scibot
SciCrunch record: RRID:AB_467039
Tags
Annotators
URL
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:SCR_023645
DOI: 10.1186/s12870-024-05171-9
Resource: Pennsylvania State University Huck Institutes of the Life Sciences Genomics Core Facility (RRID:SCR_023645)
Curator: @scibot
SciCrunch record: RRID:SCR_023645
Tags
Annotators
URL
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:AB_10015251
DOI: 10.1371/journal.pbio.3002665
Resource: (Proteus Biosciences Cat# 25-6790, RRID:AB_10015251)
Curator: @scibot
SciCrunch record: RRID:AB_10015251
-
RRID:AB_2113875
DOI: 10.1371/journal.pbio.3002665
Resource: (Millipore Cat# MAB397, RRID:AB_2113875)
Curator: @scibot
SciCrunch record: RRID:AB_2113875
-
RRID:AB_399431
DOI: 10.1371/journal.pbio.3002665
Resource: (BD Biosciences Cat# 612044, RRID:AB_399431)
Curator: @scibot
SciCrunch record: RRID:AB_399431
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:SCR_015058
DOI: 10.1038/s41597-024-03554-z
Resource: bcl2fastq (RRID:SCR_015058)
Curator: @scibot
SciCrunch record: RRID:SCR_015058
Tags
Annotators
URL
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:SCR_017738
DOI: 10.1002/prp2.1230
Resource: West Virginia University Flow Cytometry and Single Cell Core Facility (RRID:SCR_017738)
Curator: @scibot
SciCrunch record: RRID:SCR_017738
Tags
Annotators
URL
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:AB_2629482
DOI: 10.1261/rna.079890.123
Resource: (Thermo Fisher Scientific Cat# D1306, RRID:AB_2629482)
Curator: @scibot
SciCrunch record: RRID:AB_2629482
-
RRID:AB_2732073
DOI: 10.1261/rna.079890.123
Resource: (Abcam Cat# ab150108, RRID:AB_2732073)
Curator: @scibot
SciCrunch record: RRID:AB_2732073
-
RRID:AB_141637
DOI: 10.1261/rna.079890.123
Resource: (Molecular Probes Cat# A-21207, RRID:AB_141637)
Curator: @scibot
SciCrunch record: RRID:AB_141637
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:CVCL_3798
DOI: 10.1172/JCI179122
Resource: (KCB Cat# KCB 2012112YJ, RRID:CVCL_3798)
Curator: @scibot
SciCrunch record: RRID:CVCL_3798
-
RRID:CVCL_0554
DOI: 10.1172/JCI179122
Resource: (DSMZ Cat# ACC-376, RRID:CVCL_0554)
Curator: @scibot
SciCrunch record: RRID:CVCL_0554
-
RRID:CVCL_1783
DOI: 10.1172/JCI179122
Resource: (ECACC Cat# 96020936, RRID:CVCL_1783)
Curator: @scibot
SciCrunch record: RRID:CVCL_1783
-
RRID:CVCL_0126
DOI: 10.1172/JCI179122
Resource: (RCB Cat# RCB3676, RRID:CVCL_0126)
Curator: @scibot
SciCrunch record: RRID:CVCL_0126
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
RRID:WB-STRAIN
DOI: 10.1371/journal.pbio.3002672
Resource: (WB Cat# WBStrain00000001,RRID:WB-STRAIN:WBStrain00000001)
Curator: @evieth
SciCrunch record: RRID:WB-STRAIN:WBStrain00000001
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www.theodinproject.com www.theodinproject.com
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1em is the font-size of an element (or the element’s parent if you’re using it to set font-size). So, for example, if an element’s font-size is 16px, then setting its width to 4em would make its width 64px (16 * 4 == 64). 1rem is the font-size of the root element (either :root or html). The math works the same with rem as it did with em
Confused - whats the diff between 1em and 1rem (what do they mean by element's parent)
what does root element mean
Why do they multiply 16px by 4em?
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blogs.baruch.cuny.edu blogs.baruch.cuny.eduscan.pdf1
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“Wedlock suits you,” he remarked. “I think,Watson, that you have put on seven and a halfpounds since I saw you.”“Seven!” I answered.“Indeed, I should have thought a little more.Just a trifle more, I fancy, Watson. And in prac-tice again, I observe. You did not tell me that youintended to go into harness.”“Then, how do you know?”“I see it, I deduce it. How do I know that youhave been getting yourself very wet lately, and thatyou have a most clumsy and careless servant girl?”“My dear Holmes,” said I, “this is too much.You would certainly have been burned, had youlived a few centuries ago.
Sherlock Holmes is long famous for picking up on the subtlest of clues. Still, his ability to reference Watson's weight gain to near precision, as well as deduce he is under duress (harness) with various matters, including his 'clumsy and careless servant girl,' is refreshing to read. I mention this because, two paragraphs down, where it states, "He chuckled to himself and rubbed his long, nervous hands together," makes me curious of Holmes being insecure. Of course, as human beings, we all exhibit various degrees of insecurities. However, because Holmes always presents himself as being super ahead of the average person, for a moment I thought it might make for an interesting essay to consider what makes Holmes nervous.
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python-crash-course.pages.dev python-crash-course.pages.dev
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第8章
第19章
In Chapter 19,
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辞書 context
context辞書前の表現と合わせる。他も同様なのでどちらかに統一したほうがよさそうです。
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第8章
第19章
in Chapter 19
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第9章
第20章
in Chapter 20.
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第8章と第9章
第19章と第20章
In Chapters 19 and 20,
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ixed-formatdata
I'm not exactly sure what "fixed-format data" is
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quarto-ext.github.io quarto-ext.github.io
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ruptions on La Palma happen every 79.8 years on average. Studies of the magma systems feeding the volcano, such as Marre
This is an issue!
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www.reddit.com www.reddit.com
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Wrong, Study Finds
test
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www.reddit.com www.reddit.com
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Welcome to our Wednesday thread
testing
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www.plainproof.com www.plainproof.com
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7 of the 12
alkjdnakldnlkadnlkad
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vapepod365.net vapepod365.net
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