關於 base running ，我們在網路上蒐集到這些相關的討論、資訊與評價

【基礎力量訓練的動作有哪些？】

在我的觀念裡，力量訓練可分為「基礎力量」和「專項力量」。前者是每一種運動項目都要練的，後者跟運動項目有關，例如游泳、自行車、足球和跑步的「專項力量」都會有差別。但「基礎力量」會大同小異，這個大同中就一定有蹲舉……等動作。但除了蹲舉還有哪些？《The System》這本談論基礎力量的專書已經明確回答了這個問題，下面引用原文書第34頁分享如下：
--
#以下為譯文

帕列托法則（Pareto’s Principle），是一項著名的經濟學法則，又稱為「80/20法則」，它也適用於力量訓練動作的選擇。它所要表達的意思很簡單：把80%資源花在能產出最大效益的20%關鍵事情上，而這20%的關鍵又將為你帶來80%的效益。從訓練的目的來看，我們可以把這個法則的內容改寫成：從所有的力量動作中選出最關鍵的20%，而這關鍵的20%訓練動作將為運動員的力量與爆發力帶來80%的訓練效果。

這關鍵的20%訓練動作，作者選列如下：
●蹲舉及其變化式：背蹲舉、前蹲舉、單腿蹲
●爆發力動作：上膊、抓舉、挺舉、推舉
●推與拉：臥推、肩推、上膊與抓舉的拉槓動作、划船及其變化式
●下背與後側動力鏈：羅馬尼亞式硬舉 (RDL)、背挺舉、反向背挺舉、早安動作

以上這份清單很短，但這些動作就是我們認為基礎力量動作中關鍵的20%。雖然我們所設計的力量課表中，不會只有這些動作，但80%的訓練效果無疑都是由它們產生，在跟我們合作過的運動員中只要是認真熟練這幾個動作，進步的效果都很明顯。

簡而言之，把你的重心放在學習與優化這幾種動作的教學上，會比學習眾多「複雜的」和「全面式的」課表，更能有效幫助運動員提升力量和爆發力。

除了上述20%關鍵動作之外，任何其他的舉重與訓練動作都應當作輔助、平衡弱點或滿足專項運動需求的訓練手段。這些動作應只占總體訓練的一小段時間，只是在填補訓練空隙，換句話說，它們只是輔助。有很多教練在動作選擇上太過追求創造力，不斷地學習與搜集那些無法顯著提升力量的訓練動作。

運動的基礎元素是蹲、跳、跑、彎(腰)/屈(膝)、(旋)轉、推、拉。只要你在這些基礎元素中奠定良好的基礎，練就更好的動作品質、穩定度與力量，並逐步提升動作的速度，我們幾乎就能為每一種運動提供所需的專項力量。重要的事先做，把大量的時間反覆花在關鍵動作的技術優化與力量強化上。

#原文如下
We ascribe to the 80/20 rule—attributed as Pareto’s Principle, an economic principle. It states that for many events, 20 percent of the work yields 80 percent of the effects. Adapted for our purposes, 20 percent of all the exercise and movement choices yield 80 percent of the gains in strength and power development.

●SQUAT VARIATIONS—back squat, front squat, single-leg squat
●EXPLOSIVE MOVEMENTS—clean, snatch, jerk, push-press
●PUSHING AND PULLING—bench press, military press, pulls (clean and snatch), row variants
●LOW BACK AND POSTERIOR CHAIN—Romanian deadlift (RDL), hyperextension and reverse hyperextension, good morning

That very short list of fundamental lifts compromises our particular 20 percent. Although we dedicate much more than 20 percent of our programming to these basic lifts, there is no doubt that well over 80 percent of the results we have seen in our athletes can be attributed to mastering this handful of movements and lifts.

Made even simpler, placing the primary focus of your coaching on learning and refining your teaching of the fundamental lifts will yield far greater and more sustained gains in your athletes’ strength and power than many more complex and “comprehensive” programs.

Any additional lifts or movements should be considered assistance or accessory work, which serve to address specific needs or deficits. Those exercises make up just a fraction of our time, as they fill gaps, rather than form the base of training—in other words, to provide assistance. Too many coaches try to be creative in exercise selection and end up with a collection of movements and lifts that improve nothing to any significant level.

The fundamental movements of sport are squatting, jumping, running, bending, twisting, pushing, and pulling. By building proficiency in the quality, the stability and strength, and then the speed of those movements, we provide almost all of the sport specificity we need. This is how we put first things first, and spend the greatest amount of time and repetition on refining and strengthening movements.
(以上原文出自《The System》第34頁)
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若有發現翻譯不到位或有問題的地方，非常歡迎也希望各界指正！

"To be a mother means to sacrifice my dreams and myself.”

As a feminist, I know at an intellectual level that this isn’t true.

But it doesn’t matter what you know in your head to be true. If you don’t do the inner work it takes to shift a limiting story at a deep level, the story always ends up running your life.

Like how the base of the iceberg is what carries the top and decide its direction. Not the other way around.

The Buddha taught:
“You can always tell if a body of water is the ocean. Because the ocean always tastes of salt. You can always tell if a thought is the truth. Because the truth always tastes of freedom.” 🙏

I know this is the story I choose.
---
💛 Excerpt from my latest blog "What Pregnancy Taught Me about Creating the Life I Want"
👉 Read full article here: https://milenanguyen.com/blog/what-pregnancy-taught-me-about-creating-the-life-i-want

📜 [專欄新文章] Uniswap v3 Features Explained in Depth

✍️ 田少谷 Shao

📥 歡迎投稿： https://medium.com/taipei-ethereum-meetup #徵技術分享文 #使用心得 #教學文 #medium

Once again the game-changing DEX 🦄 👑

Image source: https://uniswap.org/blog/uniswap-v3/

Outline

0. Intro1. Uniswap & AMM recap2. Ticks 3. Concentrated liquidity4. Range orders: reversible limit orders5. Impacts of v36. Conclusion

0. Intro

The announcement of Uniswap v3 is no doubt one of the most exciting news in the DeFi place recently 🔥🔥🔥

While most have talked about the impact v3 can potentially bring on the market, seldom explain the delicate implementation techniques to realize all those amazing features, such as concentrated liquidity, limit-order-like range orders, etc.

Since I’ve covered Uniswap v1 & v2 (if you happen to know Mandarin, here are v1 & v2), there’s no reason for me to not cover v3 as well ✅

Thus, this article aims to guide readers through Uniswap v3, based on their official whitepaper and examples made on the announcement page. However, one needs not to be an engineer, as not many codes are involved, nor a math major, as the math involved is definitely taught in your high school, to fully understand the following content 😊😊😊

If you really make it through but still don’t get shxt, feedbacks are welcomed! 🙏

There should be another article focusing on the codebase, so stay tuned and let’s get started with some background noise!

1. Uniswap & AMM recap

Before diving in, we have to first recap the uniqueness of Uniswap and compare it to traditional order book exchanges.

Uniswap v1 & v2 are a kind of AMMs (automated market marker) that follow the constant product equation x * y = k, with x & y stand for the amount of two tokens X and Y in a pool and k as a constant.

Comparing to order book exchanges, AMMs, such as the previous versions of Uniswap, offer quite a distinct user experience:

AMMs have pricing functions that offer the price for the two tokens, which make their users always price takers, while users of order book exchanges can be both makers or takers.

Uniswap as well as most AMMs have infinite liquidity¹, while order book exchanges don’t. The liquidity of Uniswap v1 & v2 is provided throughout the price range [0,∞]².

Uniswap as well as most AMMs have price slippage³ and it’s due to the pricing function, while there isn’t always price slippage on order book exchanges as long as an order is fulfilled within one tick.

In an order book, each price (whether in green or red) is a tick. Image source: https://ftx.com/trade/BTC-PERP

¹ though the price gets worse over time; AMM of constant sum such as mStable does not have infinite liquidity

² the range is in fact [-∞,∞], while a price in most cases won’t be negative

³ AMM of constant sum does not have price slippage

2. Tick

The whole innovation of Uniswap v3 starts from ticks.

For those unfamiliar with what is a tick:

Source: https://www.investopedia.com/terms/t/tick.asp

By slicing the price range [0,∞] into numerous granular ticks, trading on v3 is highly similar to trading on order book exchanges, with only three differences:

The price range of each tick is predefined by the system instead of being proposed by users.

Trades that happen within a tick still follows the pricing function of the AMM, while the equation has to be updated once the price crosses the tick.

Orders can be executed with any price within the price range, instead of being fulfilled at the same one price on order book exchanges.

With the tick design, Uniswap v3 possesses most of the merits of both AMM and an order book exchange! 💯💯💯

So, how is the price range of a tick decided?

This question is actually somewhat related to the tick explanation above: the minimum tick size for stocks trading above 1$ is one cent.

The underlying meaning of a tick size traditionally being one cent is that one cent (1% of 1$) is the basis point of price changes between ticks, ex: 1.02 — 1.01 = 0.1.

Uniswap v3 employs a similar idea: compared to the previous/next price, the price change should always be 0.01% = 1 basis point.

However, notice the difference is that in the traditional basis point, the price change is defined with subtraction, while here in Uniswap it’s division.

This is how price ranges of ticks are decided⁴:

Image source: https://uniswap.org/whitepaper-v3.pdf

With the above equation, the tick/price range can be recorded in the index form [i, i+1], instead of some crazy numbers such as 1.0001¹⁰⁰ = 1.0100496621.

As each price is the multiplication of 1.0001 of the previous price, the price change is always 1.0001 — 1 = 0.0001 = 0.01%.

For example, when i=1, p(1) = 1.0001; when i=2, p(2) = 1.00020001.

p(2) / p(1) = 1.00020001 / 1.0001 = 1.0001

See the connection between the traditional basis point 1 cent (=1% of 1$) and Uniswap v3’s basis point 0.01%?

Image source: https://tenor.com/view/coin-master-cool-gif-19748052

But sir, are prices really granular enough? There are many shitcoins with prices less than 0.000001$. Will such prices be covered as well?

Price range: max & min

To know if an extremely small price is covered or not, we have to figure out the max & min price range of v3 by looking into the spec: there is a int24 tick state variable in UniswapV3Pool.sol.

Image source: https://uniswap.org/whitepaper-v3.pdf

The reason for a signed integer int instead of an uint is that negative power represents prices less than 1 but greater than 0.

24 bits can cover the range between 1.0001 ^ (2²³ — 1) and 1.0001 ^ -(2)²³. Even Google cannot calculate such numbers, so allow me to offer smaller values to have a rough idea of the whole price range:

1.0001 ^ (2¹⁸) = 242,214,459,604.341

1.0001 ^ -(2¹⁷) = 0.000002031888943

I think it’s safe to say that with a int24 the range can cover > 99.99% of the prices of all assets in the universe 👌

⁴ For implementation concern, however, a square root is added to both sides of the equation.

How about finding out which tick does a price belong to?

Tick index from price

The answer to this question is rather easy, as we know that p(i) = 1.0001^i, simply takes a log with base 1.0001 on both sides of the equation⁴:

Image source: https://www.codecogs.com/latex/eqneditor.php

Let’s try this out, say we wanna find out the tick index of 1000000.

Image source: https://ncalculators.com/number-conversion/log-logarithm-calculator.htm

Now, 1.0001¹³⁸¹⁶² = 999,998.678087146. Voila!

⁵ This formula is also slightly modified to fit the real implementation usage.

3. Concentrated liquidity

Now that we know how ticks and price ranges are decided, let’s talk about how orders are executed in a tick, what is concentrated liquidity and how it enables v3 to compete with stablecoin-specialized DEXs (decentralized exchange), such as Curve, by improving the capital efficiency.

Concentrated liquidity means LPs (liquidity providers) can provide liquidity to any price range/tick at their wish, which causes the liquidity to be imbalanced in ticks.

As each tick has a different liquidity depth, the corresponding pricing function x * y = k also won’t be the same!

Each tick has its own liquidity depth. Image source: https://uniswap.org/blog/uniswap-v3/

Mmm… examples are always helpful for abstract descriptions 😂

Say the original pricing function is 100(x) * 1000(y) = 100000(k), with the price of X token 1000 / 100 = 10 and we’re now in the price range [9.08, 11.08].

If the liquidity of the price range [11.08, 13.08] is the same as [9.08, 11.08], we don’t have to modify the pricing function if the price goes from 10 to 11.08, which is the boundary between two ticks.

The price of X is 1052.63 / 95 = 11.08 when the equation is 1052.63 * 95 = 100000.

However, if the liquidity of the price range [11.08, 13.08] is two times that of the current range [9.08, 11.08], balances of x and y should be doubled, which makes the equation become 2105.26 * 220 = 400000, which is (1052.63 * 2) * (110 * 2) = (100000 * 2 * 2).

We can observe the following two points from the above example:

Trades always follow the pricing function x * y = k, while once the price crosses the current price range/tick, the liquidity/equation has to be updated.

√(x * y) = √k = L is how we represent the liquidity, as I say the liquidity of x * y = 400000 is two times the liquidity of x * y = 100000, as √(400000 / 100000) = 2.

What’s more, compared to liquidity on v1 & v2 is always spread across [0,∞], liquidity on v3 can be concentrated within certain price ranges and thus results in higher capital efficiency from traders’ swapping fees!

Let’s say if I provide liquidity in the range [1200, 2800], the capital efficiency will then be 4.24x higher than v2 with the range [0,∞] 😮😮😮 There’s a capital efficiency comparison calculator, make sure to try it out!

Image source: https://uniswap.org/blog/uniswap-v3/

It’s worth noticing that the concept of concentrated liquidity was proposed and already implemented by Kyper, prior to Uniswap, which is called Automated Price Reserve in their case.⁵

⁶ Thanks to Yenwen Feng for the information.

4. Range orders: reversible limit orders

As explained in the above section, LPs of v3 can provide liquidity to any price range/tick at their wish. Depending on the current price and the targeted price range, there are three scenarios:

current price < the targeted price range

current price > the targeted price range

current price belongs to the targeted price range

The first two scenarios are called range orders. They have unique characteristics and are essentially fee-earning reversible limit orders, which will be explained later.

The last case is the exact same liquidity providing mechanism as the previous versions: LPs provide liquidity in both tokens of the same value (= amount * price).

There’s also an identical product to the case: grid trading, a very powerful investment tool for a time of consolidation. Dunno what’s grid trading? Check out Binance’s explanation on this, as this topic won’t be covered!

In fact, LPs of Uniswap v1 & v2 are grid trading with a range of [0,∞] and the entry price as the baseline.

Range orders

To understand range orders, we’d have to first revisit how price is discovered on Uniswap with the equation x * y = k, for x & y stand for the amount of two tokens X and Y and k as a constant.

The price of X compared to Y is y / x, which means how many Y one can get for 1 unit of X, and vice versa the price of Y compared to X is x / y.

For the price of X to go up, y has to increase and x decrease.

With this pricing mechanism in mind, it’s example time!

Say an LP plans to place liquidity in the price range [15.625, 17.313], higher than the current price of X 10, when 100(x) * 1000(y) = 100000(k).

The price of X is 1250 / 80 = 15.625 when the equation is 80 * 1250 = 100000.

The price of X is 1315.789 / 76 = 17.313 when the equation is 76 * 1315.789 = 100000.

If now the price of X reaches 15.625, the only way for the price of X to go even higher is to further increase y and decrease x, which means exchanging a certain amount of X for Y.

Thus, to provide liquidity in the range [15.625, 17.313], an LP needs only to prepare 80 — 76 = 4 of X. If the price exceeds 17.313, all 4 X of the LP is swapped into 1315.789 — 1250 = 65.798 Y, and then the LP has nothing more to do with the pool, as his/her liquidity is drained.

What if the price stays in the range? It’s exactly what LPs would love to see, as they can earn swapping fees for all transactions in the range! Also, the balance of X will swing between [76, 80] and the balance of Y between [1250, 1315.789].

This might not be obvious, but the example above shows an interesting insight: if the liquidity of one token is provided, only when the token becomes more valuable will it be exchanged for the less valuable one.

…wut? 🤔

Remember that if 4 X is provided within [15.625, 17.313], only when the price of X goes up from 15.625 to 17.313 is 4 X gradually swapped into Y, the less valuable one!

What if the price of X drops back immediately after reaching 17.313? As X becomes less valuable, others are going to exchange Y for X.

The below image illustrates the scenario of DAI/USDC pair with a price range of [1.001, 1.002] well: the pool is always composed entirely of one token on both sides of the tick, while in the middle 1.001499⁶ is of both tokens.

Image source: https://uniswap.org/blog/uniswap-v3/

Similarly, to provide liquidity in a price range < current price, an LP has to prepare a certain amount of Y for others to exchange Y for X within the range.

To wrap up such an interesting feature, we know that:

Only one token is required for range orders.

Only when the current price is within the range of the range order can LP earn trading fees. This is the main reason why most people believe LPs of v3 have to monitor the price more actively to maximize their income, which also means that LPs of v3 have become arbitrageurs 🤯

I will be discussing more the impacts of v3 in 5. Impacts of v3.

⁷ 1.001499988 = √(1.0001 * 1.0002) is the geometric mean of 1.0001 and 1.0002. The implication is that the geometric mean of two prices is the average execution price within the range of the two prices.

Reversible limit orders

As the example in the last section demonstrates, if there is 4 X in range [15.625, 17.313], the 4 X will be completely converted into 65.798 Y when the price goes over 17.313.

We all know that a price can stay in a wide range such as [10, 11] for quite some time, while it’s unlikely so in a narrow range such as [15.625, 15.626].

Thus, if an LP provides liquidity in [15.625, 15.626], we can expect that once the price of X goes over 15.625 and immediately also 15.626, and does not drop back, all X are then forever converted into Y.

The concept of having a targeted price and the order will be executed after the price is crossed is exactly the concept of limit orders! The only difference is that if the range of a range order is not narrow enough, it’s highly possible that the conversion of tokens will be reverted once the price falls back to the range.

As price ranges follow the equation p(i) = 1.0001 ^ i, the range can be quite narrow and a range order can thus effectively serve as a limit order:

When i = 27490, 1.0001²⁷⁴⁹⁰ = 15.6248.⁸

When i = 27491, 1.0001²⁷⁴⁹¹ = 15.6264.⁸

A range of 0.0016 is not THAT narrow but can certainly satisfy most limit order use cases!

⁸ As mentioned previously in note #4, there is a square root in the equation of the price and index, thus the numbers here are for explantion only.

5. Impacts of v3

Higher capital efficiency, LPs become arbitrageurs… as v3 has made tons of radical changes, I’d like to summarize my personal takes of the impacts of v3:

Higher capital efficiency makes one of the most frequently considered indices in DeFi: TVL, total value locked, becomes less meaningful, as 1$ on Uniswap v3 might have the same effect as 100$ or even 2000$ on v2.

The ease of spot exchanging between spot exchanges used to be a huge advantage of spot markets over derivative markets. As LPs will take up the role of arbitrageurs and arbitraging is more likely to happen on v3 itself other than between DEXs, this gap is narrowed … to what extent? No idea though.

LP strategies and the aggregation of NFT of Uniswap v3 liquidity token are becoming the blue ocean for new DeFi startups: see Visor and Lixir. In fact, this might be the turning point for both DeFi and NFT: the two main reasons of blockchain going mainstream now come to the alignment of interest: solving the $$ problem 😏😏😏

In the right venue, which means a place where transaction fees are low enough, such as Optimism, we might see Algo trading firms coming in to share the market of designing LP strategies on Uniswap v3, as I believe Algo trading is way stronger than on-chain strategies or DAO voting to add liquidity that sort of thing.

After reading this article by Parsec.finance: The Dex to Rule Them All, I cannot help but wonder: maybe there is going to be centralized crypto exchanges adopting v3’s approach. The reason is that since orders of LPs in the same tick are executed pro-rata, the endless front-running speeding-competition issue in the Algo trading world, to some degree, is… solved? 🤔

Anyway, personal opinions can be biased and seriously wrong 🙈 I’m merely throwing out a sprat to catch a whale. Having a different voice? Leave your comment down below!

6. Conclusion

That was kinda tough, isn’t it? Glad you make it through here 🥂🥂🥂

There are actually many more details and also a huge section of Oracle yet to be covered. However, since this article is more about features and targeting normal DeFi users, I’ll leave those to the next one; hope there is one 😅

If you have any doubt or find any mistake, please feel free to reach out to me and I’d try to reply AFAP!

Stay tuned and in the meantime let’s wait and see how Uniswap v3 is again pioneering the innovation of DeFi 🌟

Uniswap v3 Features Explained in Depth was originally published in Taipei Ethereum Meetup on Medium, where people are continuing the conversation by highlighting and responding to this story.

👏 歡迎轉載分享鼓掌

Somen is perfect refreshing food for hot and humid summer season :)

Sōmen (素麺) is very thin Japanese noodles made of wheat flour. The noodles are usually served cold in summer with a dashi flavored tasty dipping sauce called Mentsuyu (めんつゆ).

Kids requested me to make Edamame and Corn Nagashi Somen (Flowing Somen). Edamame and corn were pretty easy to catch and eat 😉 Kids enjoyed it very much 👍

Soomen Party (Flowing Somen Machine):
https://amzn.to/2VCzqkd

Basic Nagashi Somen (Flowing Somen Noodles) Recipe:
https://www.youtube.com/watch?v=OOjnmdfA0QU

---------------------------------
Edamame Corn Flowing Somen Noodles Recipe

Difficulty: Very Easy
Time: 15min
Number of servings: N/A

Ingredients:
((Toppings))
frozen edamame and canned kernel corn are OK! (Fibers may get stuck in the machine, so you want to be careful.)
Star-Shaped Dried Wheat Gluten are cute: https://amzn.to/3i3z41G
Other Topping Ideas:
boiled eggs https://www.youtube.com/watch?v=agsRmI4F2mI
Kinshi Tamago (shredded egg crepe) is perfect https://youtu.be/6tgDi2Ny3VI?t=49s
cooked shrimp
simmered Shiitake mushrooms https://www.youtube.com/watch?v=t_sRN0HvrGA
goldfish tomatoes (optional)
cucumber slices (or thin strips)
ham
shredded chicken
Yakibuta (braised pork) is good
Shiso leaves
Naganegi (long onion slices)
Aonegi (chopped green onions)
ginger strips
etc...
((Somen Dipping Sauce))
Yamasa Mentsuyu (noodle soup base)
https://amzn.to/3xOqyZq
((Somen Noodles))
dried Somen noodles

Directions:
((Somen Dipping Sauce))
I used this Mentsuyu (noodle soup base) btw: ヤマサ ぱぱっとちゃんと これ！うま！！つゆ https://amzn.to/3xOqyZq
Dilute with water as instructed on its package.
((Somen Noodles))
Boil water in a large pot. Add dried Somen noodles in boiling water and gently stir noodles with chopsticks. Cook Somen noodles according to your package (mine was 2 min). Drain the noodles in a strainer and rinse the noodles with hands under running water.

NOTE: You can put about 100g (usually 2 bundles) of Somen noodles in the machine or the noodles won't flow.

((Somen Dipping Sauce from scratch))
* 300ml Dashi broth (using packaged dashi powder saves time)
* 4 tbsp. Mirin (sweet Sake)
* 4 tbsp. soy sauce
In a pot, bring Dashi broth, Mirin, and soy sauce to a boil. You can also microwave until it comes to a boil. Cool in the fridge until ready to serve.

↓レシピ（日本語）
https://cooklabo.blogspot.com/2021/07/Edamame-Corn-Somen-Noodles.html
---------------------------------

Music by
YouTube Audio Library

Follow me on social media. If you have recreated any of my food, you can share some pictures #ochikeron. I am always happy to see them.

♥FOLLOW ME HERE♥
http://instagram.com/ochikeron/
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♥My COOKBOOK available on Amazon Kindle♥
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NO MORE hard copies... those who got one are lucky!

♥More Written Recipes are on my BLOG♥
http://createeathappy.blogspot.com/

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http://cookpad.com/ami
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マーブルラン ASMRコロコロ 木の段々コースを走るよ! The marbles will run on a course of wooden steps!

#おもちゃレンジャー #玉転がし #ASMR

チャンネル登録おねがいします
https://www.youtube.com/channel/UCSq41z34TBES35hB53JLkhw

miniature cooking
https://www.youtube.com/channel/UCJMQ_Y6zR-w9ObwRUURafug

SIMO BASE=
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猫のチャンネル アルは猫♪よかったらこちらのチャンネルも登録宜しくお願いします。
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Hi, my name's Lyn- Lai Lyn, I'm 24.
Currently freelance as an architect, a graphic designer, a photographer, a content creator and a "Lil studio Lynl's Academy Art Class" Lead art teacher.
I am -I mean me and my lovely Lynl's Academy team are from a tiny town called Bien Hoa.
One of my major plans for the class is redesigning the interior since it is not the most eye-pleasing sight.
The "study routine" for Lynn students is as enjoyable as it can get for a class because it's base on their mood.
I teach them how to be real with our feeling, whoever we are, wherever we in and the diversity is crazy. My goal is to help them know who they are, heal the student souls from all the barricades and develop their art skill at the same time. Basically, Im not running around the class to teach them how to draw but to help students print their feeling and thought on the paper because nothing is scarier than a blank piece of paper.
So I am trying to reach out to as many kids as possible to let them know that they are not alone.
#lynlacademy