Waching daily Jan 22 2018

hello hello hello, what's popping my super monkey's, it's funky monkey here, back at

it with another clash royale video. have you guys seen the new amazon go store they are

planning on releasing? apparently you can just walk in, take food, and walk out, with

it being charged on your credit card. this has got to be the dumbest idea ever, i could

just walk in, take food, and jump over this little scanner and just walk out. l o l. anyways,

in today's video, we will be looking at the best tips and tricks for the dart goblin.

be sure to like, subscribe, and comment below for a free tide pod, i mean free bottle of

bleach, i mean free pills. kappa.

the Dart Goblin is still one of the most under rated cards in Clash Royale.

The Dart Goblin is unlocked from Arena 9. He is a ranged, single target troop with low

H P but insane attack speed. The Dart Goblin is really a lovable card!

I love him because he can either be useless if you don�t know how to use him well, or

a game changer if you master him and play him well.

It�s just a matter of skill. And in my opinion Clash Royale should be based on players�

skill.

His problem is that it�s kinda hard to find great cards to match him with and to ensure

he does a great job. But don�t be sad, now I�m here to help you.

So, we said, the Darth Goblin is a killing machine when you make the full potential out

of his range. Also he�s got some pretty cool plays you may want to use.

It includes.

Having the Dart Goblin behind a meat shield like the giant.

(Just make sure he doesn�t eat it, kappa.

The Dart Goblin will be hard to kill without waiting for him to cross the river, or launching

a spell against him. He is a counterattack card.

Of course, if you use him in a push, you�d better use him as a counter attack card since

he�s quite fragile.

He can also destroy enemy centered buildings

while being on your side of the map. He really shines when he is placed in the

center of the map and your opponent is trying to split push against you.

He is an insane defensive card against bridge spam decks and also in 2 v 2 mode.

the best part is He is the ultimate anti-graveyard card,

since he can counter an entire Graveyard, and part of it while sitting behind your king

tower.

He lets you :

Stay out of damaging spells range for a small time

Have a lot of safe space where you can put your other defenses to avoid them being frozen,

since your opponent will most likely try to freeze your Dart Goblin.

dart goblin is insanely fast!

Take it as a mini x bo that moves.

It has amazing attack speed and very fast movement speed which makes it a usable card

to slowly demolish mini-tanks like Knight.

Dart Goblin synergies very well with Ice Spirit and can kill glass canons like Musketeer and

E wiz safely. Also it can counter Skeleton Army and even Goblin Gang. Use it behind a

tank while attacking and watch your opponent panic if he doesn�t have proper counters

in hand.

Although Dart Goblin do very little damage to the arena towers, he is a very good starting

hand. Use him directly at the bridge and he will have already hit some few shots and died

before your opponent could place his knight or any other card.

It�s more better to use him when you think your opponent is low in elixir, especially

with a cheap tank like Ice Golem. This forces your opponent to use some elixir to defend

and sometimes can make your opponent over commit.

He perfectly fits in a spell-bait deck to bait your opponent�s log or arrows.

One easier way to bait their spell is by placing him behind a cheap tank like a Knight or a

Ice Golem. It re targets units really quickly and switch from attacking a unit to the Tower

instantly just like X-Bow.

So, most of the times, your opponent will use his spell to counter him because of how

annoying he is!

I love this card since it was released and I like to use him in my decks, especially

in spell-bait Miner decks. He is really a good card in my opinion.

now that we have some extra time at the end, lets talk about the new youtube Monetization

update they released a few days ago. in the past, you needed at least 10 thousand views

to monetize videos, but now since the logan paul story, you tube now requires one thousand

subscribers, and 4 thousand hours of watch time before being able to monetize videos.

personally, i think this is a good idea. when i was under a thousand subscribers, i was

only making a couple dollars here and there. but now, i'm making a more steady stream of

revenue. by having this policy in place, the already scarce ads will now be distributed

to youtubers who really need them. it's kind of like communism. a funny story i heard on

twitter was, a guy's little sister used to upload club penguin game play on youtube and

accidentally turned the monetization on. and the guy recently checked the ad sense, and

found over a thousand dollars. l o l. anyways, this is the end of the video, if you enjoyed

please like, subscribe, and comment your opinion on the new youtube update. have a dart goblin

day.

For more infomation >> DART GOBLIN BEST TIPS AND TRICKS | Clash Royale - Duration: 6:42.

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GTA 5 MAKING MILLIONS INSTANTLY -GTA 5 CLEARING OUT EXPENSIVE CARS WITH OPEN LOBBIES - Duration: 1:42:55.

For more infomation >> GTA 5 MAKING MILLIONS INSTANTLY -GTA 5 CLEARING OUT EXPENSIVE CARS WITH OPEN LOBBIES - Duration: 1:42:55.

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Regularization - Duration: 8:09.

Occam's razor states that when you have two competing hypotheses that make the same predictions,

the simpler one is the better.

This is not an unquestionable statement, but it is a useful principle in many contexts.

In the context of machine learning, we can rephrase this statement as given two models

that have a similar performance, it's better to choose the simpler one.

Because the simpler ones are less likely to overfit and in some cases have some extra

computational benefits.

For example, a model with fewer parameters would demand less computational power.

Reducing the number of parameters is not the only way to make a model simpler though.

In fact, in deep learning, best performing models tend to be the models that are large

but trained in a way that restricts the utilization of their entire potential.

This strategy is called Regularization.

Regularization techniques encourage models to have a preference towards simpler models

without making a part of the hypothesis space completely unavailable.

These techniques intend to reduce the risk of overfitting without increasing the bias

significantly.

There are several ways to regularize a model.

A very common regularization strategy is to add a weight decay term to the loss function.

This weight decay term puts a constraint on the model complexity by penalizing large weights.

For example, let's say our original loss function is the mean squared error and we add the sum

of squares of the weights to this loss function as a weight decay term.

Here, alpha is a hyperparameter that determines the strength of the regularization.

Setting alpha to zero basically disables the regularizer.

On the other hand, a large alpha may lead to underfitting.

When we minimize this regularized loss function, our optimization algorithm tries to decrease

both the original loss function and the squared magnitude of the weights, expressing a preference

towards smaller weights.

This type of regularization is called L2-regularization and regression with L2-regularization is also

called Ridge regression.

L2-regularization is not the only type of weight decay.

Another option is to use the sum of absolute values of the weights instead of the sum of

their squares.

This type of weight decay is called the L1-regularization, also known as LASSO.

A key property of L1-regularization is that it leads to sparser weights.

In other words, it drives less important weights to zero, therefore acting like a natural feature

selector.

The reason behind that is that L2 regularization penalizes smaller weights less than the larger

weights since it tries to minimize the squared magnitude of the weights.

So, there isn't really a big incentive for the model to drive the small weights to zero.

For example, reducing a weight from a to b decreases the loss greatly where reducing

a smaller weight by the same amount decreases the loss by a much smaller amount.

L1 regularization, on the other hand, pushes all the weights down equally.

As a result, some weights get smashed down to zero and only a subset of the weights survives.

Although L1-regularization has this nice sparsity property, personally, I have rarely seen it

lead to a significantly better performance than L2-regularization.

So, I would say L2-regularization is pretty much the go-to option unless you have a reason

to use L1.

In the previous video, I mentioned that training a model for longer iterations increases its

effective capacity and we talked about how we can make use of this information to avoid

overfitting.

We take snapshots of the model periodically, run the snapshots over a validation set, and

pick the snapshot that has the best validation set performance.

Once the validation loss stops improving for a while, it's usually practical and efficient

to stop training.

This practice is called early stopping.

Early stopping has a regularization effect that is similar to weight decay.

Given that we initialize our model with small weights, every training iteration has the

potential to update a weight towards larger values.

Therefore, the earlier we stop the training, the smaller the weights are likely to be.

Another simple yet effective regularization method is the Dropout technique.

As its name suggests, dropout randomly drops out neurons with some probability during training.

Basically, the training algorithm uses a random subset of the network at every iteration.

This approach encourages neurons to learn useful features on their own without relying

on other neurons.

Once the model is trained the entire network is used for inference.

The outputs of the neurons are scaled to make sure that the overall magnitude of the neuron

outputs doesn't change due to the changed number of active neurons during training and

test.

This approach is somewhat similar to ensemble methods in machine learning.

Ensemble methods train multiple models separately for the same task, then combine them to achieve

better predictive performance.

The difference in Dropout is that the training algorithm doesn't train disjoint models.

Instead, a random sub-network is selected at every step.

These sub-networks share parameters as they all come from the same network, but with a

different set of units masked.

In a way, Dropout can be considered a type of ensemble method that trains nearly as many

models as the number of steps, where the models share parameters.

Regularization methods, in general, introduce additional prior knowledge in optimization

processes.

For example, weight decay and early stopping encode the additional information that smaller

weights are preferable to larger ones.

There are also other types of prior knowledge that we can inject into our optimization process

to improve our models.

One example would be sharing parameters between units, assuming that if one feature is useful

in one part of the input signal, it's likely that it's useful in other parts too.

This is a useful assumption particularly if the inputs are images or audio signals.

We will talk about parameter sharing more in detail when we cover convolutional neural

networks in another video.

To prevent overfitting, we usually have two types of options: using methods that limit

the effective capacity of a model or to get more training data.

The assumptions we made so far focused on the first one: limiting the model capacity.

We can also make some other assumptions that can help us increase the amount of data we

have.

For example, we might know that distorting the input in some ways shouldn't change the

results.

Based on this prior knowledge, we can increase the amount of training data we have by generating

modified versions of the samples that we already have.

This technique is called data augmentation.

How we augment the data depends on the type of the data and the nature of the task.

If the task is, for example, to classify flower pictures, we can assume that flipping and rotating an

image shouldn't change the labels.

So we can train a model on randomly rotated and flipped versions of an input image.

However, if the task is to recognize handwritten digits, an excessive amount of rotation might

not be acceptable.

For example, a six might become a nine and an eight might become infinity after rotation.

We could, however, add some random noise to the input and the labels would still be the

same.

Data augmentation is particularly useful for image recognition related tasks, where we

can simulate a wide variety of imaging conditions, such as scaling, translating, rotating, mirroring,

brightness and contrast shift, additive noise, and many others.

Other types of tasks such as speech recognition or time series prediction can also benefit

from it to some extent.

For example, random noise can be added to an audio signal for data augmentation.

Now we now know how to augment data, but you might ask where to find data in the first

place?

This is gonna be the topic of the next video, where we will talk about where to find data,

how to collect it to create our own datasets, and how to preprocess it before feeding it

to a model.

That's all for today.

Thanks for watching, stay tuned, and see you next time.

For more infomation >> Regularization - Duration: 8:09.

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Bembi 55: Die Natur mescht wasse will; abber es gibbt aach gude Sache... Created by B.S. - Duration: 1:30.

www.Bembeltown.de

For more infomation >> Bembi 55: Die Natur mescht wasse will; abber es gibbt aach gude Sache... Created by B.S. - Duration: 1:30.

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20/20 ABC Anna Nicole Smith Beauty Lost January 22th 2018 Must Watch!! - Duration: 39:50.

For more infomation >> 20/20 ABC Anna Nicole Smith Beauty Lost January 22th 2018 Must Watch!! - Duration: 39:50.

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Official Teaser : Our Music, Our Environment - Duration: 2:48.

I am Khothatso.

My surname is Ranoosi.

I live here in Malealea.

My name is Reekelitsoe Molapo.

My name means "we've been increased."

And my surname means a "river."

"Cry me a river."

My name is Pitso Rah Makhula

Pitso means

"to assemble"

My name is Setla-Bocha

I'm 12 years old.

We as musicians,

we don't just - we don't have to just think of

singing.

We have to think of what can help the people

who are listening to music.

I'm most excited about the song compositions

and the singing, really.

Because what this project has done for me,

it has really awakened

a hidden

talent - a gift in me that I had decided to

just, like, bury.

But it awakened it,

and this time around I felt like this is for a good cause

And I thought, like, yeah, it's time to free the voice

and free the song.

So music is the best tool

that can be used

to reach people.

It's a universal language.

I could be singing here

and an alien with a spaceship could be there

and I could be tracking the middle of this song

and if they know better, and they can read language

and I have my thing right,

I could stop them or I could have a conversation with them,

I believe, with a song.

We wanted to really just generalize.

Talk about this climate thing

and approaching it

from all angles, possibly, where we could.

Because I realized that we are in danger.

You know, it's really affecting all of us.

The conscious, the aware, the literate and illiterate.

And it's high time for us as people who are aware

to add or instill this knowledge on the lesser privileged people

in terms of awareness.

So as a musician

I'm propelled to use music as a tool

to reach a larger audience,

my people!

I think music is something

that can educate people.

For more infomation >> Official Teaser : Our Music, Our Environment - Duration: 2:48.

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Insidious: The Last Key (2018) - Movie Review - Duration: 8:23.

Hi, I'm Torstein from Cinema Terror and yesterday I took my broken self into the cinema to finally

see Insidious: The Last Key.

My review of this is super late as I've been in pain for the last few weeks due to problems

with my back and leg.

But since yesterday was the final screening of the film, I felt it would be worth it to

endure the pain, and the annoying teenagers, and see the fourth chapter into the Insidious

franchise.

I'm a huge fan of the two first Insidious films, directed by James Wan.

In fact, I would probably have included Insidious: Chapter Two if I were to make a top ten list

of the best horror films from the last ten years as I love that film.

The third saw a shift in quality as Wan was no longer in the directors chair, but I still

went into this one with optimism of it being an enjoyable and hopefully scary experience.

Since this is a new movie, I will keep it as spoiler free as possible, but I will go

into some spoiler parts after the score has been given as I do want to talk about a few

things that I am unable to do without going into spoiler territory.

The Last Key gives all the focus to Lin Shaye's character Elise.

We've seen her fight off the evil demons in the previous films, but this explores her

backstory and childhood and makes her life come in full circle.

While still being tormented by her past, she one day gets a call from a desperate guy who

needs her help in getting rid of the evil that lies within the walls of his home.

The twist comes in that the guy lives in the old house that Elise grew up in, and she knows

very well what evil that lives there.

Together with her friends and helpers Specs and Tucket, she heads back to her childhood

home to help out and also confront her very own demons.

If you didn't know, Insidious: The Last Key continues directly after the third Insidious

and is set before the events that take place in Insidious 1 and 2.

With this film the saga has come full circle so far.

The focus on the Elise character is a bit unique in that it is not the norm that a 74

year old actress is allowed to lead a movie with the target audience being young people

at an age of 25 and below.

And the character deserves it as she has become the star of the franchise at this point, with

a lot of that having to do with the excellent performance by Lin Shaye.

Elise has become a tragic character that has dedicated her life in helping others, even

if it has absorbed her own potential happiness.

She makes the movie and if you feel the same for the character, then this will be an enoyable

experience for you.

I am guessing, due to what happened to her in the first film, that this will be the last

we see of Elise and I thought they handled her story okay.

The biggest problem I have with Insidious: The Last Key is that the story is a bit too

cluttered.

Too many things and characters are introduced instead of the film just focusing on making

a scary story.

You have the flashback childhood scenes with Elise and I don't consider this part as a

spoiler as it happens within the first few scenes of the film, but if you want to know

absolutely nothing about this film then this will be the point where you should turn this

off.

It is quickly introduced that Elise's father is the old school rough and tough type of

dad.

This and the fact that Elise can see and communicate with spirits does not give her a great childhood.

Both the broken family dynamic and Elise struggling with learning her abilities is a bit too much

and I would rather have had more focus on just how she tackled her powers as a teenager

without the family becoming a big part of the story, as I didn't care much for the twist

with her family in the final part of the film.

They also introduce a new character that gets a decent amount of screen time in the final

part and she is not set up well at all, potentially making me think that they thought of future

films by including him or her in this film.

They also basically made Elise say no to help out the call she gets from the person now

living in her childhood home, to making her change her mind and go for it in the very

next scene.

That's just a bit too sloppy for my taste.

Problems with the plot structure aside, Lin Shaye does once again shine and steal the

show.

You cannot help but like this character, as even if she is broken at heart, she is still

able to put on a smile if it lightens the mood for others around her.

She also gets to show off her lighter side due to her having her crew of Tucker and Specs

with her.

They are the comedic relief of the franchise and as they have happened to do in the past,

they get too many scenes where they get to be funny in this one.

They also have some love interest, where they actually come off as creepy.

It doesn't help that they are probably about fifteen years older than the girls they creep

on either.

While they tried to do many things with the human characters, I felt like they didn't

do enough about the demon.

He, she, it does not do much to seperate itself from what we¨ve seen before.

Yeah, it gets keylike fingers, but ultimately he was just forgettable.

I also missed the creepy music and sounds from the first two films, which they seem

to not try to achieve in Insidious: The Last Key.

They did change it up by having a new face behind the camera in this one.

Adam Robitel came off the 2014 found footage film The Taking of Deborah Logan and he does

show that he is able to tackle bigger productions on this.

He likes to stretch out potential scares as much as he can and has no problem with not

going through to deliver it either, letting the audiences sit and hopefully keep the tension

level at high.

I did not think that all the jump scares was effective though and I found there to be a

surprisingly lack of scares in general actually.

Even the further in this seem a bit underwhelming.

I would have liked them to amped it up a bit more than they did.

So this is definitely the least scary of the entries so far.

The first two was right out scary films, while the third had some scenes that got my chills

running.

The Last Key did not.

Insidious: The Last Key is a horror film that will be enjoyable for fans of the franchise.

If you already are engaged in the Elise character then this will be worth seeing for you.

If you didn't care that much for the franchise already, then this will not turn you around

on it.

I still enjoy the Insidious films and I still want more of them in the future.

That will of course reflect on my positive score that ended up on a 3.5 out of 5.

So, I want to talk a bit more about the film so beware that from now on this will go into

major spoilers.

Good?

Ok.

I know the main focus of this film was not on Kirk Acevedo's character, the new home

owner of Elise's childhood home, but he was wasted in this film.

The idea of the demon in the house making the one living in it to do henious acts aren't

bad, but there isn't enough time used on it, making the twist with Elise's dad also not

hit us as much as they intended.

And while its not their fault, I cannot look at Acevedo and not think of him as Miguel

Alvarez from the television show Oz, so I was sure he was up to something bad as soon

as he entered the screen.

I am curious to see where the franchise will go next as I am sure that this won't be the

final one.

They pretty much have a clean slate now as everything has come full circle with the original

family and Elise, so while I love Lin Shaye, I do hope that they do not bring her back

to do more stuff that happens before the first two Insidious movies now.

They did set up Imogens character to be a potential new Elise, perhaps taking her place

between Tucker and Specs.

I am not sure if I want that.

I think I would rather want a film that starts on zero, with new humans being terrorized

by a demonic entity.

Perhap Tucker and Specs could return, now being helpless without Elise, but other than

that I just want a film with the focal point of being a scary experience.

With good character, of course, but when we see someone like Elise fight demons after

demons as we've seen that already and we know where her story ends.

I am sure something like this would get some backslash for just being like a rehash of

the first one, but I am fine with that as you could point at things in Insidious that

are like older haunted houses films as well.

The brilliance of it comes from its the execution and I do believe that there are plenty of

more scares that can be explored in this universe.

So, that was my long review and thoughts on Insidious: The Last Key.

Did you see it?

What did you think of it and where do you want the franchise to go next.

Let me know about it in the comment section below, subscribe and check out my Patreon

page if you want to support what I do and I hope to see you again next time.

Thank you.

For more infomation >> Insidious: The Last Key (2018) - Movie Review - Duration: 8:23.

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Hayat Sırları // Burak ve Seher // Korkma Söyle - Duration: 1:01.

how long did we remain far from each other?

how did we remain like this without any news from each other?

Without remembering those days when we said "(s)he is mine'".

now what has happened to us?

i'm still broken from you

or maybe something bad happened after you went

you can cry, i will wipe your tears

wherever you are, i will run,

find you

and my heart will burn for you

dont be afraid,

tell me when you forgot about us

in fact, tell me who you replaced me with

Don't stay silent,

tell me, all I need is to hear your voice

if i only knew where you sleep now

dont be afraid,

tell me when you forgot about us

thanks for watching!

For more infomation >> Hayat Sırları // Burak ve Seher // Korkma Söyle - Duration: 1:01.

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Homeland Security Is Preparing To ARREST Leaders of Sanctuary Cities - Duration: 17:25.

Homeland Security Is Preparing To ARREST Leaders of Sanctuary Cities

One of President Trump's key campaign promises was to clean up the streets of America.

Deporting illegal aliens is key to making America safe again.

The Trump administration wants to go a step further.

According to Stephen Dinan of the Washington Times, Homeland Security head Kirstjen Nielsen

told the Senate Judiciary Committee Tuesday that her Department is preparing to arrest

leaders of sanctuary cities.

Washington Times reports:

Homeland Security Secretary Kirstjen Nielsen confirmed Tuesday that her department has

asked federal prosecutors to see if they can lodge criminal charges against sanctuary cities

that refuse to cooperate with federal deportation efforts.

"The Department of Justice is reviewing what avenues may be available," Ms. Nielsen

told the Senate Judiciary Committee.

Her confirmation came after California's new sanctuary law went into effect Jan. 1,

severely restricting cooperation the state or any of its localities could offer.

This isn't the first time calls for arresting leaders of sanctuary cities have been made.

CBS News reports:

Bristol County Sheriff Thomas Hodgson told the House Subcommittee on Illegal Immigration

that sanctuary cities "have become magnets for illegal aliens, some of which have violent

criminal records."

"If these sanctuary cities are going to harbor and conceal criminal illegal aliens

from ICE, which is in direct violation of Title 8 of the U.S. Code, federal arrest warrants

should be issued for their elected officials," Hodgson said.

"Our citizens would be safer if we never stopped enforcing immigration law and if we

never formed or turned a blind eye toward sanctuary cities."

The move follows the Justice Department issuing a "final warning," to various sanctuary

cities around the country.

Cook County, Illinois, Chicago, Illinois, New Orleans, Louisiana, New York, New York

and Philadelphia, Pennsylvania are on the Justice Department's hit list for failing

to enforce federal immigration laws.

The cities had until October 27th to provide additional evidence that the interpretation

and application of their laws, policies, or practices comply with the statute.

That was months ago.

While Sessions sits on his hands, Nielsen is taking charge with the Department's latest

plans to come down on sanctuary

city leaders.

For more infomation >> Homeland Security Is Preparing To ARREST Leaders of Sanctuary Cities - Duration: 17:25.

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Ya başkasını seversem (Yorum Hasan Fırat) What If I love Someone else - Duration: 2:16.

Poem by Özdemir Asaf

Dubbing: Hasan Topal

I don't miss you as much as before.

and I don't cry for the littlest things now.

When I hear the sentences which involve your name, my eyes are not full with tears anymore.

I don't count the days of your absence anymore.

I am a little tired, a little broken

And also your absence vitiated me a little.

I couldn't learn how to be fine yet but..

I covered my tongue with ''I am fine''s

I am nervous actually.

To be forgetting you..

Even though I force my memory a million times hard not to forget you..

Not remembering your face scares me.

I don't wait for you to come around anymore.

I even don't want you to come around.

I don't have tiny bit of curiosity about how you're doing.

Sometimes you cross my mind

but then I say ''I don't care''

''I have enough trouble myself. I cant bring myself to worry about someone else.''

Am I used to your absence?

Am I giving up on the hopes that you'd be here?

I am actually nervous.

What if I love someone else?

Then, I would never forgive you.

For more infomation >> Ya başkasını seversem (Yorum Hasan Fırat) What If I love Someone else - Duration: 2:16.

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APRENDER A JUGAR BOLA 8 FULL, APRENDER A JUGAR BOLA 8 POOL EN ESPAÑOL 2018, CLAVES PARA JUGAR POOL - Duration: 16:29.

For more infomation >> APRENDER A JUGAR BOLA 8 FULL, APRENDER A JUGAR BOLA 8 POOL EN ESPAÑOL 2018, CLAVES PARA JUGAR POOL - Duration: 16:29.

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LEGACY - Track #12 THE CABO SAN LUCAS ALBUM 2018 by Coach Dom Costa - Duration: 1:53.

This one's gonna wrap it up but people will say to me like why do you make

those videos and I go why aren't you making some videos? All the things I've

been through this is a chance to help people right now when I'm making these

I'm actually like talking to you but if I gotta leave this planet early like

with a health issue or an accident or something I've left a legacy with this

video that people after me people in my own family I'm talking to my

grandchildren great-grandchildren great-great-grandchildren and if it

helps them have some self-esteem or encourages them in some manner or form I

know I'm another brick in the wall another grain of sand check out all that

sand I get it I'm not any better than anyone else but to be able to have this

technology and share with everybody on the planet with these social mediums I'm

for it and and I realize every time I get in front of one of these cameras

there's a story I'm telling I'm telling my my future generations and I'm honored

I'm honored and I hope that more of you get out there and do this and share your

stories it's awesome and I'm grateful that I was able to do some of this stuff

and this is the end of my Cabo album I must do a little 360 pan around as the

Sun gets up and makes weird shadows on my head this is a beautiful place and I

didn't get here by myself I've got a great family and support team God the

Sun is but I'll block it with my big head I'm really lucky and I think you

can get some knowledge from some of these videos and go out there and hustle

and do some great things for yourself and your family too hey I love you I'm

proud of you and I'm honored that I get to do this and thank you so much for

watching!:-)

For more infomation >> LEGACY - Track #12 THE CABO SAN LUCAS ALBUM 2018 by Coach Dom Costa - Duration: 1:53.

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How To Open A Coconut Easily At Home| How To Husk And Open Coconut|How To Remove Coconut Meat Easily - Duration: 7:01.

For more infomation >> How To Open A Coconut Easily At Home| How To Husk And Open Coconut|How To Remove Coconut Meat Easily - Duration: 7:01.

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Nhạc điện tử kích thích phát triển trí thông minh cho bé | EDM cho Mẹ và Bé | EDM Streams VN - Duration: 50:55.

Nhạc kích thích sự thông minh cho bé

For more infomation >> Nhạc điện tử kích thích phát triển trí thông minh cho bé | EDM cho Mẹ và Bé | EDM Streams VN - Duration: 50:55.

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Join the Republic 2017 - Recap | ROG - Duration: 5:23.

They want to turn pro one day.

I can be the mentor for my teammates.

It´s their first time to have a big match like this,

so they said it´s really helpful for their lives.

I´m still in shock because it's a huge chance for all of us.

I'm really happy.

We are actually one hundred meters below the ground

and we are going to do some Counter-Strike.

We gonna prepare some strategies and positioning and stuff like that.

Let's do some mobile gaming!

You meet a lot of people that you probably never would have met.

It´s cool, it´s cool, I like it a lot.

Playing with "Reven" is a really nice experience for me.

When I was learning Leauge Of Legends I watched him and his videos and I learned a lot from him.

And now I´m playing with him. It's really nice to have that.

The thing I will remember from this event

would be at the boot camp that we had when we got to travel with the RIB boats. That was super fun.

It also showed me that it's important to have team building and to know your players.

Because after that it's been a lot easier to play because you know them, you can have fun.

In general, I think just team bonding and having fun is a key component in a teams success.

I think that was our success here.

I think Leauge Of Legends is just like life.

Leauge Of Legends made me grow up.

It's easy to play but hard to master.

Join The Republic showed me how many talented and skilled players the Polish scene has.

Because there weren't many professional teams a year ago in Poland.

There are more now. I think it was really important to notice these guys and just give them a chance.

So I created an esports organisation after Join The Republic.

And more and more players in Poland are given a chance to play in a professional league.

Join The Republic is really good for the community itself.

Because I get to pick talented Swedish players that might not be recognized by some teams and players.

And also, they get to try out playing in a professional environment.

This is the same kind of tournament that we would play on my normal day when I travel to tournaments.

So it's a very good and positive thing and I would like to have more things like this.

I haven't felt this good in a long time.

I'm really proud of myself.

For all of you at home watching, don't hesitate to join up for the next season.

This is your chance to come here and play in a good environment with good players and have a lot of fun.

For more infomation >> Join the Republic 2017 - Recap | ROG - Duration: 5:23.

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Cherish Pads Fully Activated Nspire Network Premium Sanitary Napkins - Duration: 3:45.

www.MyHealthDaily.net

oh hey everybody we are officially on day five

normally my day five prior to pre cherish I would be still wearing a

regular pad on day five and I would still have a mmm fairly fairly heavy not

fairly I don't even want to say heavy it would still be flowing but it wouldn't

be consistent it would be very sporadic so ladies most of you may experience

toward the end of your cycle where it changes colors as well as the level of

flow so mine has changed color already where normally I would still be the same

color I would still be red and it would still flow very light but I could pretty

much I'd be okay so and then they fix with my normal cycle would be where I

would spot and change colors so here it is day five cherish product fully

activated and I've already changed color and I am using the liners now so with

this being said I still have product left from the initial purchase with this

cycle so I had all four of the products I had being regular day pad so if you've

never seen it this is the pack it's fairly small in my hand it's fairly

small but if it's ten pads in here I still have four left it's two in here I

forgot that I had taken two out and had in my purse so I have four out of ten

left so that means only is six pads now ladies we know and this is me changing

them everyday but like I said I have all four whereas prior pre cherish you

forget my turning out terminology pre cherish the leading brand that I would

use would yeah it would come with like sixteen and I would pretty much have

used all of it here are the nights they are longer than the days these are

purple they come with eight pads and I have three left in here

same size package they're pretty small but they fit in there really good the

package is basically literally the same size as the pad almost and then they're

the overnights which are purple or blue whatever I might be colorblind but it's

blue so these have seven and I have four or three in here I have three left them

here and then they're all of course marked

individually they're marked the same color as their packing so I still have

plenty left and then lastly which I'll be

transitioning to use every day until my next cycle is the liners these are green

these come with 13 it was recommended by one of the demonstrators that are sold

to use these everyday in between the cycle ladies you don't have to you can

just wait until your cycle comes next month you can wait until a couple days

prior to your next cycle and use the liner's to set your your your system of

your uterus up for your period but so yeah I'll be trying these to see if I

get myself set up to decrease a couple of things for next month so thanks for

watching have a blessed one and I will see you next time

you

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