This is Darren Coil.
He loves adventures of all
kinds.
His most prized possession is
his grandfather's rock
collection and his heroes are
his parents.
He's helping transform supply
chain business technologies at
Microsoft.
What I love about my job is the
pace we are able to deploy a
really interesting
manufacturing technologies to
our own factory at a pace I
have never seen outside of
Microsoft in my 20 plus years
in manufacturing technologies
Microsoft as many people are
unaware is a manufacturing
company.
We build Xbox, we build
Surface, we build Surface Hubs,
HoloLens, keyboards and
accessories.
The first big challenge was
understanding the way the
supply chain works at Microsoft.
Everything from the sourcing
the plan, the make, the
delivery, the care, the return,
and the logistics. So just
understanding the scope and the
magnitude of our own supply
chain.
What are we doing in our
factories today what
opportunities are there to
improve the way that we build a
product?
What do we know about the
product? where the product is?
the quality the product, the
speed of deploying products?
There's lots of things in
manufacturing that are
important.
Manufacturing tends to be
fairly conservative in the way
they adopt technology.
In our case we have lots of
pockets of data.
So we had an engineering
database over here.
We had a SAP ERP system over
there.
We had the manufacturing
execution system at the
contract manufacturers place
all these different types of
all these different locations
of data.
The first problem we're trying
to solve is how do we answer
questions about our business?
For example, if a device came
back and we wanted to know the
history of that device: when
was it made, where it was made,
where did it ship to, who
activated it, why did they
return it?
Just the one serial number
would take us days to go to
each one of those different
data sources pull the data put
it together in a report and
answer one business question.
If you want to keep up in this
market, you've got to answer
these questions faster. You
can't spend your time getting
data,
bing it to the forefront.
answer one business question,
and then go figure out what the
next business question is that
you want to address.
That was the business problem
we were trying to solve.
Let's go connect all these data
sources in one location.
That way we can answer any
question that we may have --
today it's a serial number
tomorrow it's a quality issue.
The day after that it's a
sourcing issue and we don't
have to go spend countless
hours curating, manicuring,
stitching together data.
A year ago we took our
manufacturing operations on a
digital transformation, and
that transformation we broke
down into three waves: a
connected wave a predictive
wave and a cognitive wave.
And the connected wave was
really the first step which is
there's lots of data sources
all around the world get
connected to them all.
We're just connecting to the
data we already have that
turned into a trip to China.
We spent about a month there
and we connected to a dozen
different data sources.
They look at productivity they
look at yield.
They look at outputs.
They look at repairs and
inventory levels.
So productivity is data that
comes from our contract
manufacturer.
They use a Oracle based ERP
system.
And so what we did is we gave
them a data contract fairly
simple flat file format that
says here's the different
fields that we need.
We helped them with a script to
extract the data out of their
system, and then we basically
push that data to the event hub
or two blob storage.
So from the event hub or Blob
storage that then moves into
our Azur data like.
Our partner data flows to us
across the Internet using
encrypted packages into the
event hub or into Blob's George
depending on who's sending the
data and what they're sending.
Our product data flows across
police line also encrypted into
our storage containers and then
into your data lake.
For our network design.
It comes down to the data that
we're streaming off of the
location. what does it mean?
How important is it? what's its
time sensitivity?
For example, we just connected.
Process Equipment at the
factory.
And so we're using a IOT
gateway to azure connection to
stream data live into the
factory and then turn that data
back around to make real time
decisions, so the round trip is
seconds.
We just took the basic things
that they use everyday reports
that they trust and we
automated those reports. We got
them into Power BI we've got
the data moved into the cloud.
we got some basic analytics
behind it and brought all that
data back to the factory.
Our first deadline was to get
an operational control room for
the factory.
The four person team went out
there and in six weeks we were
able to automate their standard
reports.
They looked at everyday
productivity, shipments, yield
quality built him a 10 screen
power be-I visualization room
where they could look at all
the data live all the time.
We did all that in a six week
period before the CEO came out
to see an entire digital
transformation of the way that
that factory was looking at
data, and presenting data, and
reviewing data.
We had all that insight in the
slicing available Power BI
immediately because we were
connected to the raw data
source.
We could answer questions about
what happened yesterday or the
week before. We can look at
line to line comparisons. And
all these things were instantly
available and instantly
answered with power BI in the
factory which is what got the
wheel started.
Since we began a year ago,
we've connected to our primary
factory, we've connected to a
dozen of our vendors, we've
connected to our delivery
mechanisms that we connect to
our customer service mechanisms,
We were able to do all this
over the last nine months.
That's in a connected phase.
The predictive stage is kind of
where we are now where the data.
Lets us see trends as they are
occurring real time and respond
to them we can dispatch people
to the floor.
We don't have to wait for an
excursion event to happen.
We can see supplier data coming
in we can make decisions about
how much to build, where to
build, where to ship based on
all this data coming to the
surface real time because we
don't have to collect the data
anymore.
So for all of our automated
test machinery we did all of
the statistical grading and the
back end so that when it came
into Power BI it had already
had a sort of a ranking as to
whether or not this piece of
data was important or not,
Which then goes into the heat
maps which allows us to find
the data quickly on the machine
level data like a lamination
machine or a trimming machine?
All that data gets
statistically granted actually
in Power BI itself.
So we brought it all the way
through and then we developed
the statistical process control
rules in Power BI And so it
executes SPC on the fly.
So we have both.
The cognitive wave.
It's now there for us 24 by 7.
We've had dozens of
conversations with these
manufacturing operations that
see the same thing they laugh
the same way they say, oh yeah,
we run our factory off of Excel
we run our factory off a
PowerPoint, and we have the
same challenges. It takes us a
week to answer one business
question. And we show them in
five minutes and we bring up
Power BI and show our factory
and we're like look, I can tell
you why I miss production today.
Oh, I am short parts from this
vendor and I have a bunch of
stuff stuck in repair, and we
show them the power of
visualization layer and.
the pace that you can answer
questions and then we go back
and tell them again take
advantage of all of the machine
learning and the AI and the
intelligency insights and let
that then drive your business.
The cognitive wave is where we
allow the machine learning to
solve complex problems for us
and we focus on manufacturing
operations and supply chain
operations.
The difference between
predictive waves and cognitive
waves is more around the
fundamental technologies behind
it.
Cognitive is more about using
machine learning artificial
intelligence.
So to get started we presented
the problem to several data
scientists.
We gave them all of the data
streams. that streams came from
fact information, such as
process yield coming off of the
machinery.
We gave them dimensional
information, and this component
came from this physical
location,
The order in which things were
put together, so that the
patterns could then look for
relationships and causality and
create a better optimal
solution for how we built the
Hololens.
Large big data platform
analysis to solve complex
problems not necessarily things
that are occurring at this very
second but things that are
occurring over longer periods
of time this sort of analysis
by a human would take weeks and
weeks and weeks, trial and
error lots of computation,
Matlab and those kind of
computation programs to come up
with the same answer.
But by using machine learning
and doing the pattern
recognition we are able to come
up with the answer in just days.
For example optimizing the
material maximum minimum
material conditions of a kitted
device.
Fact information from what was
happening,
Dimensional information in
terms of where things are, and
what order things go together,
it's like a fax sort of a
construct.
And from there they then were
able to use the machine
learning pattern recognition to
come up with the optimal way to
assemble the Hololens, which
improved our yields.
So these are the kinds of
machine learning algorithm
things that will let us get to
a cognitive in a faster pace in
our manufacturing operations.
The big feature for Cognitive
in AI is to tackle problems
that haven't been addressed yet
in manufacturing simply because
there is not enough data
available not enough
computation not enough pattern
recognition to be able to do
these things.
You can do other examples where
you look at the way that you
build a device and you feed it
design and experiment and it
can generate better ways to
assemble a device or it will be
able to predict what will
happen in the future if you use
a component a component B.
So far Microsoft has reaped a
number of important benefits
from the continued digital
transformation of its
manufacturing operation.
Darren said the team has
learned some important lessons
as well.
I think the things we could
have done differently we should
have kept the dedicated team
dedicated made this their full
time job.
Of course we didn't know that
it was going to have such an
impact we didn't know that the
value was going to be there.
This digital transformation has
been the largest change in
manufacturing technologies in
30 years and it was probably
one of the easiest changes to
bring to fruition the actual
physical part of connecting the
data and bringing the data to
Azure -and making the Power BI
It was actually very simple.
Like I said, a couple of weeks
to automate some of those basic
reports and a few more weeks to
connect to a bunch of machinery
and bring all that data live.
The number one thing keeping
all these companies from doing
this which was the same thing
for us which is business
adoption and change management
that it's the fear of if I go
invest in trying to go on a
digital transformation will my
business accept the answer to
that is that it has to come
from the top down.
When our vice president said
we're going to do this?
He was relentless for the two
or three months that it took
for everybody all the way down
the organization to believe the
data to see the change and to
get on board.
Once you get that change
management started the flywheel
begins and then it perpetuates
it feeds itself.
The beauty of the architecture
is we've moved from systems of
records to systems of records
and a system of intelligence on
top of that. We're not changing
the fact that the data still
exists on the machine or the
data still exists in an ERP
system,
We are simply moving all of
that data up to a system of
intelligence.
We've seen value in
productivity gains,
people not collecting data
anymore.
We've averted product loss in
the tune of millions of
millions of dollars.
We've optimized operations in
and around just the data that
we're getting from the insights
the payback the value to the
implementation, is measured in
days and weeks not years.
In our 10 part video series
expedition cloud, Microsoft
technical experts will share
the inside story of Microsoft's
journey to the cloud including
proven practices,
Things we do differently and
advice for customers on the
same journey towards digital
transformation.
For more infomation >> Refactoring for the cloud with Darren Coil - Duration: 11:32.-------------------------------------------
Available for £32.7m, Roma ace would be cheaper Van Dijk alternative for Liverpool ● News Now ● #LFC - Duration: 2:08.
Reds boss Jüren Klopp will be desperate to bolster his defensive ranks during the January
transfer window,
and whilst ace Virgil van Dijk remains the German's number one target, the Saints' refusal
to sell could mean that he has to explore different options.
With this in mind, a useful alternative for them could be Roma centre-back Kostas Manolas,
and a cheaper one at that.
The 26-year-old has recently had a €37 million release clause inserted into his current deal
with the Serie A giants, according to Italian media outlet Pagine Romaniste,
and that would represent fantastic business for Liverpool, should they make a move for
him.
Manolas is a wonderfully cultured defender.
He is a fully accomplished passer of the football, strong in the air, and quick along the ground.
Standing at nearly 6ft 3in, the Greece international possesses the type of frame required to be
a success in England, what with the robust nature of the Premier League.
He is also highly experienced in playing at the very highest level, having joined Roma
from Olympiacos three years ago.
Manolas has played 140 games over the past three years - a statistic that highlights
his robust nature, and that is something that is a prerequisite for any Klopp signing, what
with the German's insistence on a highly intense style of play.
And if he manages to bring the Greek centre-back to Anfield, it could turn out to be a signing
of real significance
for Liverpool.
-------------------------------------------
Are Exercise Machines HORRIBLE for You??? Watch This FIRST Before Using Them! - Duration: 5:08.
(imitating explosion noises)
- What's up everyone?
It's your host Justin here,
and today, I'm gonna tell you
the machines that take over the fitness world.
(imitating Arnold Schwarzenegger)
Okay, okay, enough of the melodramatic stuff.
In today's video,
I'm gonna talk to you about exercise machines.
If you've ever been to a modern gym,
you've probably noticed that
they are littered with exercise machines.
And because there are so many exercise machines,
that's what a lot of people are using for their workouts.
And if you think about it, it kinda makes sense.
Machines are super easy to use,
not intimidating,
and they seem kind of high tech and cool.
Heck, we use machines for
just about everything else in life.
And boy, do we use some complicated ass machines.
So why not use machines for our workout?
The answer to that is because machines are not effective
at developing real, practical strength.
Oh, they're also terrible for movement patterning.
Long story short, machines should not be
your main course in your training program.
Now hold up, let's think about this for a second.
Take a look at this machine.
It's a bicep curl machine,
why would you ever lift something heavy
with just your biceps while sitting down?
Oh I know!
Probably never.
Well, unless you got a super heavy beer chug.
Cheers!
So if you're never gonna be in that position in your life,
why train like that?
Why force yourself into this tiny, awkward position
and then train a very specific muscle
in a single plane of motion?
And when I say single plane of motion,
I mean, you know, two dimensional like this.
I am a robot.
You see, here's the thing.
You're made of more muscles than just the obvious.
Yeah, biceps, quads,
glutes, abs, all the big stuff are all important,
but you know what else is working in the background?
Oh yeah!
Your stabilizer muscles.
Hi Justin, it's your stabilizer muscles.
We're working really hard right now
to make sure you don't drop that weight
and end up killing yourself.
Yay!
Well, that wasn't creepy at all.
So let's say I bicep curl a free weight
instead of using a machine,
I've suddenly now got a whole bunch of other muscles
working to keep the weight balanced.
If you only train with exercise machines,
you're gonna have really strong prime movers,
but really weak stabilizer muscles.
And if that's the case,
you don't have a lot of real, practical strength,
because nothing in real life mimics
the mechanics of a machine exercise.
Think about when you pick something up in real life,
like a really heavy suitcase.
It's basically a free weight.
So if being strong in real life
means picking up free weights,
what does this mean?
It means that if you wanna get strong,
you're better off ditching the machines
and sticking to your own body weight.
FYI, when you do a body weight exercise,
you're using your own body as a free weight,
so it's still a free weight.
Also, exercise machines are expensive as balls!
Now with all that said,
I am not the Donald Trump of exercise.
- All
machine
are terrible
and bad
for you.
- I know, I've pretty much been
shitting on exercise machines this whole time.
But, there are times when using them
isn't the worst idea in the universe.
So I mentioned earlier that machine work
should not be the main part of your workout.
So as long as you've got that part
covered with your free weights,
there's really nothing wrong with blasting
a few sets on the machine just as a supplement.
You going to the beach later?
What's up, dudes?
Nothing wrong with blasting a few sets
of machine bicep curls to get your pump going.
Aw, yeah.
Again, as long as machines are not the main focus
and don't take away from your main lifts,
you're all good.
Oh, one final note,
not all machines are created equal.
If you really wanna use a machine,
use a cable machine.
Why?
Because cable machines at least force
you to work in three dimensions,
so you get to work your stabilizer muscles.
But it'll still put you in an awkward position,
so you're still better off using free weights.
So there you have it.
Machines are not effective
for building real, practical strength.
Stick to free weights for that, kids.
But it's okay to use machines as a supplement,
if you've already finished with your main lifts.
Alright, if you guys enjoyed this video,
please like and comment,
and most importantly,
subscribe to the YouTube channel.
More videos are in the works,
so stay tuned.
(heavy electronic music)
-------------------------------------------
for presentation - Duration: 2:07.
Hello Canım, this is just a trial
Apparently, you write in the box and push plus.
After you do that you can adjust the length of time of the writing below the video. Just push and pull it.
After everything is fine, don't forget to save the changes "Değişiklikleri kaydet"
Ofc don't forget to delete this mini tutorial I wrote for you. :* Elske deg
-------------------------------------------
Violent BLM Is Back For Christmas With A Nasty Surprise For Trump ... | Global News Today - Duration: 7:11.
Violent BLM Is Back For Christmas With A Nasty Surprise For Trump They've Been Plotting
For Months.
Because Black Lives Matters hate everything thatAmerica stands for they are now preparing
a nasty surprise for Trump as he celebrates this awesome economy that we haven't seen
in decades.
Since President Trump is the epitome of everything that is America and our capitalistic society,
the terrorist group that is Black Lives Matters has taken it upon themselves to boycott everything
that is "White."
And why you might ask, because of so-called "Racism."
Can anyone imagine the backlash from the liberal loons in the Left Wing Mainstream Media if
a white group called for a boycott of everything that is black?
The cries of racism would be never-ending.
FacebookTwitter Because Black Lives Matters hate everything
thatAmerica stands for they are now preparing a nasty surprise for Trump as he celebrates
this awesome economy that we haven't seen in decades.
Since President Trump is the epitome of everything that is America and our capitalistic society,
the terrorist group that is Black Lives Matters has taken it upon themselves to boycott everything
that is "White."
And why you might ask, because of so-called "Racism."
Can anyone imagine the backlash from the liberal loons in the Left Wing Mainstream Media if
a white group called for a boycott of everything that is black?
The cries of racism would be never-ending.
Via The Daily Wire: Black Lives Matter Organizes 'Black Xmas'
To Divest From 'White Corporations' And 'White Capitalism'
Dr. Melina Abdullah, a professor at California State University-Los Angeles (CSU-LA,) who
is also a national Black Lives Matter (BLM) leader, is urging allies to support the movement's
"Black Xmas" this holiday season by divesting from "white corporations."
She claims "white capitalism" is an American institution that is inherently racist, therefore
black people should pursue more collectivist approaches to economic empowerment.
"We say 'white capitalism' because it's important that we understand that the economic
system and the racial structures are connected," said Abdullah, a founding member of BLM who
leads its Los Angeles chapter (BLM-LA).
"We have to not only disrupt the systems of policing that literally kill our people,
but we have to disrupt the white supremacist, capitalistic, patriarchal, heteronormative
system that is really the root cause of these police killings."
Abdullah, who descends from a family of Marxist organizers, made the comments on her weekly
KPFK radio show called "Beautiful Struggle," which features songs like "5 Million Ways
to Kill a CEO" as bumper music.
She was joined by Dr. Anthony Ratcliff, also a professor at CSU-LA, who organized BLM's
first youth activist camp last summer.
"Black Lives Matter and other organizations build a strong critique and understanding
of racism and white supremacy and sexism and homophobia, transphobia, but we have to have
as much hatred or vitriol against capitalism," Ratcliff said.
"Until we start to see capitalism just as nefarious as white supremacy, we will always
be struggling."
BLM launched a Black Xmas website on Saturday which calls for "no spending with White
corporations" through New Year's Day, encouraging supporters to donate to allied,
black-led community groups or black-owned businesses instead.
The website goes on to state: "Donald Trump embodies White capitalism.
If you are anti-Trump, you should hold back your resources from him and the like."
"We are socialized to believe that the answer to white oppression is black capitalism,"
said Abdullah.
"We don't need any black millionaires and multi-millionaires, and we don't need
a black Walmart.
That doesn't free us."
In Los Angeles, BLM activists are organizing around historical, communal economic models
that were implemented by free black people during the era of slavery.
On the radio show, Ratcliff and Abdullah spoke of building black mutual aid societies and
black co-ops as alternatives to the existing capitalist structure that requires dismantling.
"In order to get free as a collective, we have to think collectively," said Abdullah.
"It's not enough for one person to draw profit because that also drains community.
It needs to be structured around this idea of collective uplift."
BLM has promoted Black Xmas every year since its founding, however many people remain unaware
of its anti-capitalist motivations.
As Dr. Abdullah wrote in the Los Angeles Sentinel: This call is fundamentally tied to Black Lives
Matter's mission to end state-sanctioned violence against Black people.
We know that state-sanctioned violence is rooted in White-supremacist capitalism.
Since its inception in 2013, Black Lives Matter has recognized the killing of Black people
at the hands of the police as not simply a question of a few rogue officers, but a part
of a system that is built on the backs of Black people.
…we live under a system of White-supremacist capitalism that exploits Black people as workers
and consumers and relies on the police state to secure and maintain its dominance."
Previous Black Xmas demonstrations in Minneapolis, San Francisco, and L.A. resulted in activists
blocking traffic near major airports during peak times of the holiday rush, inconveniencing
many travelers.
Last year, BLM-LA disrupted Christmas Eve brunch at the Trump National Golf Club in
Rancho Palos Verdes, California.
According to LAist, protesters "entered the dining hall and began singing 'Protest
Carols,' or classic Christmas carols re-worded with mainly anti-Trump lyrics, to the patrons."
Sadly now that the malcontents have moved on from trashing Thanksgiving as a racist
holiday against Native Americans they have now gone to the war with Christmas and since
there are only 27 shopping days left to spoil the season for others they just can't seem
to be able to help themselves.
The Los Angeles chapter of Black Lives Matter (Of course it had to come from California)
is doing their part to actively promote "Black Xmas" as a protest against President Trump.
While falsely representing the effort to bolster African-American businesses, the message via
the group's website makes it abundantly clear this is just another temper tantrum
because Donald Trump is the President.
This has to be one of the sickest displays of racism I have ever witnessed being done
here in America.
In their hate for President Trump thee people seem to forget that the so-called "Racist
Americans" didn't go to Africa to pick them up and make them slaves.
Their own people sold them off to Muslim traders who in turn sold the slaves to Americans so
they could work the fields.
But even if this fact offends you there is one awesome fact about America.
Our doors are wide open and you can go back to Africa whenever you like.
Or do you prefer our "Benefits" more?
-------------------------------------------
How to Design a Cover Crop Mixture for Multiple Goals - Duration: 11:33.
- Hi, my name is Jim LaChance.
I work with a group of researchers and farmers here
at Penn State who are interested in using winter annual
cover crop mixes in organic systems.
And so we work in a corn, soy, wheat rotation here.
We're in central Pennsylvania at the Rock Springs Agronomy
Research Farm, and I'm standing in a strip of cover crops
that were planted after wheat in that rotation.
And so these were planted in about mid August,
and now we're here in December to show you a bit about
some of our research here at our research station.
We have a variety of mixtures that we've been planting
as well as monocultures.
We use six main species to make up
our monoculture treatments, and then those six species
come together in all of our mixtures.
The species are two legumes, red clover
and Austrian winter pea,
two brassicas, canola and forage radish.
And then we also use two grasses,
so winter hardy cereal rye
and then oats that winter kills
here in Central Pennsylvania.
When we started working with mixtures here in Pennsylvania,
and we started talked to farmers, we realized
that a lot of the work they were already doing
on their farms using mixtures aligned with some
of the general ecological theory and knowledge
that was kind of already out there.
We knew that farmers wanted to get more out
of their cover crops by using mixtures.
They wanted to achieve different goals
or get different benefits for their farm.
And so what we saw in some of the research
that was existing specifically in natural grasslands
was that as you added more species to a field,
you increased the amount of a certain function.
And so you can think of that function as a benefit
that you get out of your field.
So it could be anything from weed suppression
to nitrogen supply or nitrogen retention,
beneficial insects and pollinators that you can attract
to your farm, so that's what we really wanted to research
is what kind of functions and goals can we get
and then what are some of the trade offs or challenges
to using these mixtures?
To give you a bit of a context of where we're working
in central Pennsylvania, we have a average
January temperature of around 20 degrees.
In December now we've already had several very hard frosts.
Our low temperature of the year in the winter
is usually around five to 10 degrees below zero.
That's a plant hardiness zone of around six.
And so that gives you an idea of where we're working
and maybe now I can show you a bit about each
of the individual mixes and tell you a bit more
about the six species that make up those mixes.
So this is our three species weed mix.
This was designed to suppress weeds
and then to retain and to supply nitrogen.
This is made up of our oats, which you see here.
Then we have our cereal rye seen here.
And then we have red clover.
Together these three species are planted
at 127 pounds per acre.
They're drilled in mid August, and now you see
what they look like in December.
So here we have our three species nitrogen mix.
Now this mix was designed
to both supply and retain nitrogen.
It's made up of our red clover,
Austrian winter pea, and rye.
And so the rye is in there because it's a very aggressive
scavenger, and it's kept at that low 20% rate also
because of that aggressiveness.
We don't want it to crowd out either of the legumes,
the Austrian winter pea or the red clover.
So let me show you those real quickly.
This is our Austrian winter pea,
and this is the red clover.
Now the Austrian winter pea does come on a little bit
more aggressively for us in these mixes than the red clover.
So you see it at a bit thicker establishment here.
But it can be, if planted too early, susceptible
to winter kill in some situations where the red clover
is a bit more winter hardy.
Then here you see our cereal rye
part of our mixes.
Again very winter hardy and can be very aggressive.
So this plot here is of our four species mix.
Now this mix is made up of canola, red clover,
Austrian winter pea, and cereal rye.
Those are all from those six monocultures
I mentioned before.
Here this is planted at about 78 pounds an acre
and that comes out to about $77 an acre.
This is our most expensive mix.
And that is because the canola, which we added,
is for our primary goal of this mix
which is to additionally attract pollinators
and beneficial insects for biological control.
So we know that of the six species that we're studying
in this project, the canola is gonna be the first
to flower come this spring.
So by adding that to this mix, we hope that in the spring
we'll be able to attract more
of those beneficial insects to the field.
Here you see our four species in the mix together.
This was planted in mid August and now it's early December.
And so you see here we have some of our canola
in the mixture.
We also have our Austrian winter pea,
and then we have small amounts of red clover,
and we have our cereal rye in the same mix.
So here we have our six species mix.
And so we thought of this mix as our insurance mix
because it includes each of the six species
that we're also looking at in monoculture cover crops.
We have them all here.
We think of it as an insurance mix
because if one or two of the species doesn't perform well
in a particular year, we still know that we'll have
a solid mixture of at least four or five species
or at least we hope to have at least four or five species
that do perform well and to keep whatever benefit
or function that we're thinking about and that
we want to achieve to keep that at a high level.
And so I'll show you the six species here.
They're at smaller rates obviously
because there are so many different mixes.
But this is our oat again
which is in the process of winter killing now in December.
This is our other grass, our cereal rye,
very winter hardy.
We also have one of our brassicas here, canola.
And then our other brassica, which I have to look for
over here, is our
tillage radish.
Let's see if I can get a good one.
So here is the top of that tillage radish.
That's a pea.
The top of the tillage radish, and then you see
where this is about where it met the ground.
Then in addition to the brassicas,
we have our two legumes in this mix,
again, the Austrian winter pea vining,
usually winter hardy but can winter kill
a little bit more easily than our other legume
which is the red clover right here.
So in working with winter annual cover crop mixes
in organic systems, there are four key takeaways
that we really want you to be able
to take home from this research.
So first when thinking about weed suppression,
we suggest it's best to have one or two species
that you know are going to come on very aggressively
in the fall and that's primarily to be able
to suppress weeds in the fall.
We've see that if you can suppress them in the fall,
then you'll have better spring suppression
for your cash crop.
And so once you have those one or two species picked out,
then you can think about adding other species to the mix
for additional goals.
Our second key takeaway
has to do with insects.
So to attract beneficial insects and pollinators
to your field, we found that it's most important
to have a species in the mix that will flower early,
or just about flower at all
before you terminate your cover crop.
And so once you figure out what that is for your area
and your fields, add that in and then think about adding
other species for additional goals.
The third key takeaway is for managing nitrogen.
We suggest that you start off with one or two species
of legumes that are well adapted for your area
and that will help to make sure that you're supplying
nitrogen to your fall and cash crop.
Then once you choose those couple of species,
then you can think about adding a grass or a brassica
which is winter hardy and is good at scavenging
to retain nitrogen.
And then finally our overall fourth key takeaway
is that when you're designing your mix and you see
how your mixture establishes and what it kind of looks like
in your specific farm and climate,
what you really want to aim for overall is a balance
of the different species that you have in the mix.
That might take some kind of tinkering or tailoring
over a course of a couple years to figure out
what's gonna be best to get that even expression
of each species in the mix on your farm.
So those are our four key takeaways.
-------------------------------------------
Marvel heroes super toy set - Christmas presents ideas for kids under $30 - Duration: 4:13.
what
super heroes
welcome to lucas toy time
hi guys
PAPA: so what do you think it's inside?
i don't know
let's pop and see.. ok
lets pop and see.. ok. I'll show you guys
hello, somebody there?
1, 2, 3, 4 and 5
what
super heroes
1,2,3
4,5,6
7,8,9
10
10
10?
yeah.. thank you papi... but i didnt bring your toys
shoulder
mac pirate
thor
mami
iron man
that guy
right palm
captain america
hulk mash
ella
I know all their names
(microwave beep)
the food is ready
food is ready
i got to be...
angry guy
and you could be this guy
come on boy
yeah
got you
got you.. got you back home from lap
hi iron man
look behind you
uh?
ohh, guys
that's your boy friends
how dare you?
i see you there
me?
yeah
yeah but my friend
he shot me.. yeah
bye guys
-------------------------------------------
Contruction Project On 2nd Street To Improve Safety For Cyclists And Pedestrians - Duration: 1:26.
For more infomation >> Contruction Project On 2nd Street To Improve Safety For Cyclists And Pedestrians - Duration: 1:26. -------------------------------------------
Suspect Arrested For Shooting Up San Jose Elementary School With Shotgun - Duration: 0:46.
For more infomation >> Suspect Arrested For Shooting Up San Jose Elementary School With Shotgun - Duration: 0:46. -------------------------------------------
Flashback: Lauer Hammers O'Reilly for Sexual Harassment Allegations - Duration: 2:48.
Long-time newsman Matt Lauer is out of a job.
The former NBC News journalist and previous host of "The Today Show" was just let
go amid allegations of sexual misconduct that go back years… but just two months ago,
the same man was sanctimoniously lecturing Bill O'Reilly about similar accusations.
During a September interview with the sacked Fox News host, NBC's Lauer smugly implied
that there must have been overwhelming evidence against O'Reilly for the right-leaning network
to let him go.
"You were probably the last guy in the world that they wanted to fire because you were
the guy that the ratings and the revenues were built on, you carried that network on
your shoulders for a lot of years," he stated.
"So doesn't it seem safe to assume that the people at Fox News were given a piece
of information or given some evidence that simply made it impossible for you to stay
on at Fox News?"
O'Reilly denied any wrongdoing, but pointed out that every major media organization — including
Matt Lauer's employer — faced these types of claims.
That statement would end up being eerily prescient.
"Every company in this country, including this one, Comcast, has these lawsuits, every
one," O'Reilly said.
Lauer stayed on his high horse, and took the side of women who made allegations against
the Fox host.
"But think about those five women and what they did," he lectured.
"They came forward and filed complaints against the biggest star at the network they
worked at.
Think of how intimidating that must have been, how nerve-racking that must have been.
Doesn't that tell you how strongly they felt about the way they were treated by you?"
Remember, the claims against NBC's Matt Lauer began back in 2014.
That means that as he sat scolding Bill O'Reilly, he almost certainly knew that his own scandal
was waiting in the wings.
Or, perhaps, he was too arrogant to consider that it might happen to him.
Frustratingly, that is probably the more likely scenario.
If the last several months have shown us anything, it's that prominent liberals believe that
they are perfectly moral and invincible — right until the moment that they lose their careers.
We've seen this time and time again with the left.
They claim to hold the moral high ground, but are actually up to their necks in filth.
It's time to stop pretending that a person's political leanings magically make them more
moral or less flawed than the rest of humanity.
More and more, it looks like liberal elitists actually believe that being "part of the
movement" absolves them from personal responsibility.
Americans are tired of hypocrisy, and they're tired of being lectured by smug elitists.
The dominoes are toppling, and Lauer was just the latest in a long line of falling elitists.
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