Random Number States#
AUTHORS:
Carl Witty (2008-03): new file
This module manages all the available pseudo-random number generators in Sage. (For the rest of the documentation in this module, we will drop the “pseudo”.)
The goal is to allow algorithms using random numbers to be reproducible from one run of Sage to the next, and (to the extent possible) from one machine to the next (even across different operating systems and architectures).
There are two parts to the API. First we will describe the command line oriented API, for setting random number generator seeds. Then we will describe the library API, for people writing Sage library code that uses random numbers.
Command line oriented API#
We’ll start with the simplest usage: setting fixed random number seeds and showing that these lead to reproducible results.
sage: K.<x> = QQ[]
sage: G = PermutationGroup([[(1,2,3),(4,5)], [(1,2)]])
sage: rgp = Gp()
sage: def gap_randstring(n):
....: current_randstate().set_seed_gap()
....: return gap(n).SCRRandomString()
sage: def rtest():
....: current_randstate().set_seed_gp(rgp)
....: return (ZZ.random_element(1000), RR.random_element(),
....: K.random_element(), G.random_element(),
....: gap_randstring(5),
....: rgp.random(), ntl.ZZ_random(99999),
....: random())
The above test shows the results of six different random number
generators, in three different processes. The random elements from
ZZ
, RR
, and K
all derive from a single GMP-based random number
generator. The random element from G
comes from a GAP subprocess.
The random “string” (5-element binary list) is also from a GAP
subprocess, using the “classical” GAP random generator.
The random number from rgp
is from a Pari/gp subprocess. NTL’s
ZZ_random
uses a separate NTL random number generator in the main
Sage process. And random()
is from a Python random.Random
object.
Here we see that setting the random number seed really does make the results of these random number generators reproducible.
sage: set_random_seed(0)
sage: print(rtest())
(303, -0.266166246380421, 1/6, (1,2), [ 0, 1, 1, 0, 0 ], 265625921, 79302, 0.2450652680687958)
sage: set_random_seed(1)
sage: print(rtest())
(978, 0.0557699430711638, -1/8*x^2 - 1/2*x + 1/2, (1,2,3), [ 1, 0, 0, 0, 1 ], 807447831, 23865, 0.6170498912488264)
sage: set_random_seed(2)
sage: print(rtest())
(207, -0.0141049486533456, 0, (1,3)(4,5), [ 1, 0, 1, 1, 1 ],<PHONE_NUMBER>, 16190, 0.9343331114872127)
sage: set_random_seed(0)
sage: print(rtest())
(303, -0.266166246380421, 1/6, (1,2), [ 0, 1, 1, 0, 0 ], 265625921, 79302, 0.2450652680687958)
sage: set_random_seed(1)
sage: print(rtest())
(978, 0.0557699430711638, -1/8*x^2 - 1/2*x + 1/2, (1,2,3), [ 1, 0, 0, 0, 1 ], 807447831, 23865, 0.6170498912488264)
sage: set_random_seed(2)
sage: print(rtest())
(207, -0.0141049486533456, 0, (1,3)(4,5), [ 1, 0, 1, 1, 1 ],<PHONE_NUMBER>, 16190, 0.9343331114872127)
Once we’ve set the random number seed, we can check what seed was used. (This is not the current random number state; it does not change when random numbers are generated.)
sage: set_random_seed(12345)
sage: initial_seed()
12345
sage: print(rtest())
(720, -0.612180244315804, 0, (1,3), [ 1, 0, 1, 1, 0 ],<PHONE_NUMBER>, 65175, 0.8043027951758298)
sage: initial_seed()
12345
If set_random_seed()
is called with no arguments, then a new
seed is automatically selected. On operating systems that support it,
the new seed comes from os.urandom()
; this is intended to be
a truly random (not pseudo-random), cryptographically secure number.
(Whether it is actually cryptographically secure depends on operating
system details that are outside the control of Sage.)
If os.urandom()
is not supported, then the new seed comes
from the current time, which is definitely not cryptographically
secure.
sage: set_random_seed()
sage: r = rtest()
sage: r # random
(909, -0.407373370020575, 6/7*x^2 + 1, (1,2,3)(4,5), 985329107, 21461, 0.30047071049504859)
After setting a new random number seed with set_random_seed()
,
we can use initial_seed()
to see what seed was automatically
selected, and call set_random_seed()
to restart the same
random number sequence.
sage: s = initial_seed()
sage: s # random
336237747258024892084418842839280045662
sage: set_random_seed(s)
sage: r2 = rtest()
sage: r == r2
True
Whenever Sage starts, set_random_seed()
is called just before
command line interaction starts; so every Sage run starts with a
different random number seed. This seed can be recovered with
initial_seed()
(as long as the user has not set a different
seed with set_random_seed()
), so that the results of this run
can be reproduced in another run; or this automatically selected seed
can be overridden with, for instance, set_random_seed(0)
.
We can demonstrate this startup behavior by running a new instance of Sage as a subprocess.
sage: subsage = Sage()
sage: s = ZZ(subsage('initial_seed()'))
sage: r = ZZ(subsage('ZZ.random_element(2^200)'))
sage: s # random
161165040149656168853863459174502758403
sage: r # random
1273828861620427462924151488498075119241254209468761367941442
sage: set_random_seed(s)
sage: r == ZZ.random_element(2^200)
True
Note that wrappers of all the random number generation methods from
Python’s random
module are available at the Sage command
line, and these wrappers are properly affected by set_random_seed()
.
sage: set_random_seed(0)
sage: random(), getrandbits(20), uniform(5.0, 10.0), normalvariate(0, 1)
(0.111439293741037, 539332, 8.26785106378383, 1.3893337539828183)
sage: set_random_seed(1)
sage: random(), getrandbits(20), uniform(5.0, 10.0), normalvariate(0, 1)
(0.8294022851874259, 624859, 5.77894484361117, -0.4201366826308758)
sage: set_random_seed(0)
sage: random(), getrandbits(20), uniform(5.0, 10.0), normalvariate(0, 1)
(0.111439293741037, 539332, 8.26785106378383, 1.3893337539828183)
That pretty much covers what you need to know for command-line use of this module. Now let’s move to what authors of Sage library code need to know about the module.
Library API#
First, we’ll cover doctesting. Every docstring now has an implicit
set_random_seed(0)
prepended. Any uses of # random
that
are based on random numbers under the control of this module should be
removed, and the reproducible answers inserted instead.
This practice has two potential drawbacks. First, it increases the work
of maintaining doctests. For instance, in a long docstring that has
many doctests that depend on random numbers, a change near the beginning
(for instance, adding a new doctest) may invalidate all later doctests
in the docstring. To reduce this downside, you may add calls to
set_random_seed(0)
throughout the docstring (in the extreme case,
before every doctest).
Second, the # random
in the doctest served as a signal to the
reader of the docstring that the result was unpredictable and that it
would not be surprising to get a different result when trying out the
examples in the doctest. If a doctest specifically refers to
ZZ.random_element()
(for instance), this is presumably enough
of a signal to render this function of # random
unnecessary.
However, some doctests are not obviously (from the name) random, but
do depend on random numbers internally, such as the
composition_series
method of a PermutationGroup
. In these cases, the convention is to insert
the following text at the beginning of the EXAMPLES
section.
These computations use pseudo-random numbers, so we set the
seed for reproducible testing.
sage: set_random_seed(0)
Note that this call to set_random_seed(0)
is redundant, since
set_random_seed(0)
is automatically inserted at the beginning
of every docstring. However, it makes the example reproducible for somebody
who just types the lines from the doctest and doesn’t know about the
automatic set_random_seed(0)
.
Next, let’s cover setting the random seed from library code. The
first rule is that library code should never call
set_random_seed()
. This function is only for command-line
use. Instead, if the library code wants to use a different random
seed, it should use with seed(s):
. This will use the new seed
within the scope of the with
statement, but will revert to the previous
seed once the with
statement is completed. (Or the library can use
with seed():
to get a seed automatically selected using
os.urandom()
or the current time, in the same way as described for
set_random_seed()
above.)
Ideally, using with seed(s):
should not affect the outer random
number sequence at all; we will call this property “isolation.” We
achieve isolation for most, but not all, of the random number generators
in Sage (we fail for generators, such as NTL, that do not provide an API
to retrieve the current random number state).
We’ll demonstrate isolation. First, we show the sequence of random numbers
that you get without intervening with seed
.
sage: set_random_seed(0)
sage: r1 = rtest(); print(r1)
(303, -0.266166246380421, 1/6, (1,2), [ 0, 1, 1, 0, 0 ], 265625921, 79302, 0.2450652680687958)
sage: r2 = rtest(); print(r2)
(443, 0.185001351421963, -2, (1,3), [ 0, 0, 1, 1, 0 ], 53231108, 8171, 0.28363811590618193)
We get slightly different results with an intervening with seed
.
sage: set_random_seed(0)
sage: r1 == rtest()
True
sage: with seed(1): rtest()
(978, 0.0557699430711638, -1/8*x^2 - 1/2*x + 1/2, (1,2,3), [ 1, 0, 0, 0, 1 ], 807447831, 23865, 0.6170498912488264)
sage: r2m = rtest(); r2m
(443, 0.185001351421963, -2, (1,3), [ 0, 0, 1, 1, 0 ], 53231108, 51295, 0.28363811590618193)
sage: r2m == r2
False
We can see that r2
and r2m
are the same except for the
call to ntl.ZZ_random()
, which produces different results
with and without the with seed
.
However, we do still get a partial form of isolation, even in this case, as we see in this example:
sage: set_random_seed(0)
sage: r1 == rtest()
True
sage: with seed(1):
....: print(rtest())
....: print(rtest())
(978, 0.0557699430711638, -1/8*x^2 - 1/2*x + 1/2, (1,2,3), [ 1, 0, 0, 0, 1 ], 807447831, 23865, 0.6170498912488264)
(181, 0.607995392046754, -x + 1/2, (2,3)(4,5), [ 1, 0, 0, 1, 1 ],<PHONE_NUMBER>, 9693, 0.5691716786307407)
sage: r2m == rtest()
True
The NTL results after the with seed
don’t depend on how many
NTL random numbers were generated inside the with seed
.
sage: set_random_seed(0) sage: r1 == rtest() True sage: with seed(1): ….: rtest() (978, 0.0557699430711638, -1/8*x^2 - 1/2*x + 1/2, (1,2,3), [ 1, 0, 0, 0, 1 ], 807447831, 23865, 0.6170498912488264) sage: r2m == rtest() True
(In general, the above code is not exactly equivalent to the with
statement, because if an exception happens in the body, the real
with
statement will pass the exception information as parameters to
the __exit__
method. However, our __exit__
method
ignores the exception information anyway, so the above is equivalent in
our case.)
Generating random numbers in library code#
Now we come to the last part of the documentation: actually generating
random numbers in library code. First, the easy case. If you generate
random numbers only by calling other Sage library code (such as
random_element
methods on parents), you don’t need to do
anything special; the other code presumably already interacts with
this module correctly.
Otherwise, it depends on what random number generator you want to use.
gmp_randstate_t
– If you want to use some random number generator that takes agmp_randstate_t
(likempz_urandomm
ormpfr_urandomb
), then use code like the following:from sage.misc.randstate cimport randstate, current_randstate ... cdef randstate rstate = current_randstate()
Then a
gmp_randstate_t
is available asrstate.gmp_state
.Fetch the current
randstate
withcurrent_randstate()
in every function that wants to use it; don’t cache it globally or in a class. (Such caching would breakset_random_seed
).Python
– If you want to use the random number generators from therandom
module, you have two choices. The slightly easier choice is to import functions fromsage.misc.prandom
; for instance, you can simply replacefrom random import randrange
withfrom sage.misc.prandom import randrange
. However, this is slightly less efficient, because the wrappers insage.misc.prandom
look up the currentrandstate
on each call.  (Such caching would breakset_random_seed
).GAP
– If you are calling code in GAP that uses random numbers, callset_seed_gap
at the beginning of your function, like this:from sage.misc.randstate import current_randstate ... current_randstate().set_seed_gap()
Fetch the current
randstate
withcurrent_randstate()
in every function that wants to use it; don’t cache it globally or in a class. (Such caching would breakset_random_seed
).Pari
– If you are calling code in the Pari library that uses random numbers, callset_seed_pari
at the beginning of your function, like this:from sage.misc.randstate import current_randstate ... current_randstate().set_seed_pari()
Fetch the current
randstate
withcurrent_randstate()
in every function that wants to use it; don’t cache it globally or in a class. (Such caching would breakset_random_seed
).Pari/gp
– If you are calling code in a Pari/gp subprocess that uses random numbers, callset_seed_gp
at the beginning of your function, like this:from sage.misc.randstate import current_randstate ... current_randstate().set_seed_gp()
This will set the seed in the gp process in
sage.interfaces.gp.gp
. If you have a different gp process, say in the variablemy_gp
, then callset_seed_gp(my_gp)
instead.Fetch the current
randstate
withcurrent_randstate()
in every function that wants to use it; don’t cache it globally or in a class. (Such caching would breakset_random_seed
).NTL
– If you are calling code in the NTL library that uses random numbers, callset_seed_ntl
at the beginning of your function, like this:from sage.misc.randstate import current_randstate ... current_randstate().set_seed_ntl(False)
Fetch the current
randstate
withcurrent_randstate()
in every function that wants to use it; don’t cache it globally or in a class. (Such caching would breakset_random_seed
).libc
– If you are writing code that calls the libc functionrandom()
: don’t! Therandom()
function does not give reproducible results across different operating systems, so we can’t make portable doctests for the results. Instead, do:from sage.misc.randstate cimport random
The
random()
function insage.misc.randstate
gives a 31-bit random number, but it uses thegmp_randstate_t
in the currentrandstate
, so it is portable. (This range was chosen for two reasons: it matches the range of random() on 32-bit and 64-bit Linux, although not Solaris; and it’s the largest range of nonnegative numbers that fits in a 32-bit signed integer.)However, you may still need to set the libc random number state; for instance, if you are wrapping a library that uses
random()
internally and you don’t want to change the library. In that case, callset_seed_libc
at the beginning of your function, like this:from sage.misc.randstate import current_randstate ... current_randstate().set_seed_libc(False)
Fetch the current
randstate
withcurrent_randstate()
in every function that wants to use it; don’t cache it globally or in a class. (Such caching would breakset_random_seed
).
Classes and methods#
- sage.misc.randstate.benchmark_libc()#
This function was used to test whether moving from libc to GMP’s Mersenne Twister for random numbers would be a significant slowdown.
EXAMPLES:
sage: from sage.misc.randstate import benchmark_libc, benchmark_mt sage: timeit('benchmark_libc()') # random 125 loops, best of 3: 1.95 ms per loop sage: timeit('benchmark_mt()') # random 125 loops, best of 3: 2.12 ms per loop
- sage.misc.randstate.benchmark_mt()#
This function was used to test whether moving from libc to GMP’s Mersenne Twister for random numbers would be a significant slowdown.
EXAMPLES:
sage: from sage.misc.randstate import benchmark_libc, benchmark_mt sage: timeit('benchmark_libc()') # random 125 loops, best of 3: 1.95 ms per loop sage: timeit('benchmark_mt()') # random 125 loops, best of 3: 2.11 ms per loop
- sage.misc.randstate.current_randstate()#
Return the current random number state.
EXAMPLES:
sage: set_random_seed(0) sage: current_randstate() <sage.misc.randstate.randstate object at 0x...> sage: current_randstate().python_random().random() 0.111439293741037
- sage.misc.randstate.initial_seed()#
Returns the initial seed used to create the current
randstate
.EXAMPLES:
sage: set_random_seed(42) sage: initial_seed() 42
If you set a random seed (by failing to specify the seed), this is how you retrieve the seed actually chosen by Sage. This can also be used to retrieve the seed chosen for a new Sage run (if the user has not used
set_random_seed()
).sage: set_random_seed() sage: initial_seed() # random<PHONE_NUMBER>55244661507561642968348336774
- sage.misc.randstate.random()#
Returns a 31-bit random number. Intended as a drop-in replacement for the libc
random()
function.EXAMPLES:
sage: set_random_seed(31) sage: from sage.misc.randstate import random sage: random() 32990711
- class sage.misc.randstate.randstate#
Bases:
object
The
randstate
class. This class keeps track of random number states and seeds. Typesage.misc.randstate?
for much more information on random numbers in Sage.- ZZ_seed()#
When called on the current
randstate
, returns a 128-bitInteger
suitable for seeding another random number generator.EXAMPLES:
sage: set_random_seed(1414) sage: current_randstate().ZZ_seed()<PHONE_NUMBER>4782595865062786044921182484
- c_rand_double()#
Returns a random floating-point number between 0 and 1.
EXAMPLES:
sage: set_random_seed(2718281828) sage: current_randstate().c_rand_double() 0.22437207488974298
- c_random()#
Returns a 31-bit random number. Intended for internal use only; instead of calling
current_randstate().c_random()
, it is equivalent (but probably faster) to call therandom
method of thisrandstate
class.EXAMPLES:
sage: set_random_seed(1207) sage: current_randstate().c_random()<PHONE_NUMBER>
We verify the equivalence mentioned above.
sage: from sage.misc.randstate import random sage: set_random_seed(1207) sage: random()<PHONE_NUMBER>
- long_seed()#
When called on the current
randstate
, returns a 128-bit Python long suitable for seeding another random number generator.EXAMPLES:
sage: set_random_seed(1618) sage: current_randstate().long_seed()<PHONE_NUMBER>74514099508607350947089272595
- python_random(cls=None, seed=None)#
Return a
random.Random
object. The first time it is called on a givenrandstate
, a newrandom.Random
is created (seeded from the currentrandstate
); the same object is returned on subsequent calls.It is expected that
python_random
will only be called on the currentrandstate
.INPUT:
cls
– (optional) a class with the same interface asrandom.Random
(e.g. a subclass thereof) to use as the Python RNG interface. Otherwise the standardrandom.Random
is used.seed
– (optional) an integer to seed therandom.Random
instance with upon creation; if not specified it is seeded usingZZ.random_element(1 << 128)
.
EXAMPLES:
sage: set_random_seed(5) sage: rnd = current_randstate().python_random() sage: rnd.random() 0.013558022446944151 sage: rnd.randrange(1000) 544
- seed()#
Return the initial seed of a
randstate
object. (This is not the current state; it does not change when you get random numbers.)EXAMPLES:
sage: set_random_seed(0) sage: from sage.misc.randstate import randstate sage: r = randstate(314159) sage: r.seed() 314159 sage: r.python_random().random() 0.111439293741037 sage: r.seed() 314159
- set_seed_gap()#
Checks to see if
self
was the most recentrandstate
to seed the GAP random number generator. If not, seeds the generator.EXAMPLES:
sage: set_random_seed(99900000999) sage: current_randstate().set_seed_gap() # optional - sage.libs.gap sage: gap.Random(1, 10^50) # optional - sage.libs.gap<PHONE_NUMBER>332555434474532297768680634540939580077 sage: gap(35).SCRRandomString() # optional - sage.libs.gap [ 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1 ]
- set_seed_gp(gp=None)#
Checks to see if
self
was the most recentrandstate
to seed the random number generator in the given instance of gp. (If no instance is given, uses the one ingp
.) If not, seeds the generator.EXAMPLES:
sage: set_random_seed(987654321) sage: current_randstate().set_seed_gp() # optional - sage.libs.pari sage: gp.random() # optional - sage.libs.pari 23289294
- set_seed_libc(force)#
Checks to see if
self
was the most recentrandstate
to seed the libc random number generator. If not, seeds the libc random number generator. (Do not use the libc random number generator if you have a choice; its randomness is poor, and the random number sequences it produces are not portable across operating systems.)If the argument
force
isTrue
, seeds the generator unconditionally.EXAMPLES:
sage: from sage.misc.randstate import _doctest_libc_random sage: set_random_seed(0xBAD) sage: current_randstate().set_seed_libc(False) sage: _doctest_libc_random() # random<PHONE_NUMBER>
- set_seed_ntl(force)#
Checks to see if
self
was the most recentrandstate
to seed the NTL random number generator. If not, seeds the generator. If the argumentforce
isTrue
, seeds the generator unconditionally.EXAMPLES:
sage: set_random_seed(2008)
This call is actually redundant;
ntl.ZZ_random()
will seed the generator itself. However, we put the call in to make the coverage tester happy.sage: current_randstate().set_seed_ntl(False) # optional - sage.libs.ntl sage: ntl.ZZ_random(10^40) # optional - sage.libs.ntl<PHONE_NUMBER>775355459459209288047895196007
- set_seed_pari()#
Checks to see if
self
was the most recentrandstate
to seed the Pari random number generator. If not, seeds the generator.Note
Since pari 2.4.3, pari’s random number generator has changed a lot. the seed output by getrand() is now a vector of integers.
EXAMPLES:
sage: set_random_seed(5551212) sage: current_randstate().set_seed_pari() # optional - sage.libs.pari sage: pari.getrand().type() # optional - sage.libs.pari 't_INT'
- sage.misc.randstate.set_random_seed(seed=None)#
Set the current random number seed from the given
seed
(which must be coercible to a Python long).If no seed is given, then a seed is automatically selected using
os.urandom()
if it is available, or the current time otherwise.Type
sage.misc.randstate?
for much more information on random numbers in Sage.This function is only intended for command line use. Never call this from library code; instead, use
with seed(s):
.Note that setting the random number seed to 0 is much faster than using any other number.
EXAMPLES:
sage: set_random_seed(5) sage: initial_seed() 5


Mr Du, 23, who teaches at a privately-run cram school in the city of Hohhot, China, provided the fake chest scan to his employers when handing in his sick notice. However, what was meant as a trick to get out of work resulted in the parents of his 18 pupils raising concerns about their own children’s health, revealing pupils in his class did actually have the disease.
When two pupils were diagnosed with the condition for real, Mr Du was caught out by officials after they hauled him in for further tests.
Between the man handing in his sick notice on October 10 and October 31, the school was forced to pay for all of Mr Du’s students – aged around five years old – to be checked for signs of TB.
The teacher received a shock when two children tested positive for TB, leading Mr Du to have to fake a second diagnosis – costing 320 RMB (£35 GBP) – proving he was now clear of the illness.
However, parents were not convinced by the teacher’s second set of hospital documents – particularly because tuberculosis typically requires months of daily antibiotics to clear it from your system – and so the teacher was pressured into taking a third test at a local hospital.
Unsurprisingly, this test proved that not only had Mr Du been clear of TB all along, but that the previous scans he provided belonged to another person entirely. His two sick students appeared to have contracted the disease from another source.
Mr Du, who parents said was popular among students, later apologised to the parents and revealed he did it because he wanted to take an extended holiday to take advantage of China’s National Day break.
The teacher admitted he did not realise how serious TB was when he chose to use it as his sick leave excuse, and that he felt he needed to lie for a second time when he feared his first lie would be exposed.
Parents have since told local media they are demanding further assurance management at the school will improve, but did not say whether they would seek to involve officials with the city’s education bureau.
School director Ms Zhang said she was in the process of visiting every affected family to collect their feedback, but did not say whether Mr Du would keep his job.
A Broadcast Journalism Masters graduate who went on to achieve an NCTJ level 3 Diploma in Journalism, Lucy has done stints at ITV, BBC Inside Out and Key 103. While working as a journalist for UNILAD, Lucy has reported on breaking news stories while also writing features about mental health, cervical screening awareness, and Little Mix (who she is unapologetically obsessed with).


| 1 |
Swami_2017 |
An examination of the factorial and convergent validity of four measures of conspiracist ideation, with recommendations for researchers |
Swami, Viren; Barron, David; Weis, Laura; Voracek, Martin; Stieger, Stefan; Furnham, Adrian |
2017 |
2017-02-23 |
COMM-USE |
N |
PMC5322923 |
28231266.0 |
10.1371/journal.pone.0172617 |
2g5tfwqj |
0.928167 |
Atari_2019 |
Atari_2019, Xu_X_2018, Chen_2011 |
| 2 |
Barrett_2005 |
The Wisconsin Upper Respiratory Symptom Survey is responsive, reliable, and valid |
Barrett, Bruce; Brown, Roger; Mundt, Marlon; Safdar, Nasia; Dye, Leota; Maberry, Rob; Alt, Jennifer |
2005 |
2005-06-30 |
PMC |
N |
PMC7119015 |
15878475.0 |
10.1016/j.jclinepi.2004.11.019 |
nq1yvppk |
0.846910 |
Hong_2009 |
Barrett_2009, Hui_D_2005 |
| 3 |
Atari_2019 |
Psychometric assessments of Persian translations of three measures of conspiracist beliefs |
Atari, Mohammad; Afhami, Reza; Swami, Viren |
2019 |
2019-04-18 |
COMM-USE |
N |
PMC6472751 |
30998716.0 |
10.1371/journal.pone.0215202 |
6q5ndj7c |
0.817654 |
|
Swami_2017, Xu_X_2018, Lowe_2013, Chen_2011 |
| 4 |
Farsi_2017 |
Validation of the Arabic Version of the Early Childhood Oral Health Impact Scale (ECOHIS) |
Farsi, Nada J.; El-Housseiny, Azza A.; Farsi, Deema J.; Farsi, Najat M. |
2017 |
2017-02-28 |
COMM-USE |
N |
PMC5331632 |
28245876.0 |
10.1186/s12903-017-0353-x |
598s9ijb |
0.765924 |
|
Hong_2009, Xu_X_2018 |
| 5 |
Xu_X_2018 |
Psychological Flexibility of Nurses in a Cancer Hospital: Preliminary Validation of a Chinese Version of the Work-related Acceptance and Action Questionnaire |
Xu, Xianghua; Liu, Xiangyu; Ou, Meijun; Xie, Chanjuan; Chen, Yongyi |
2018 |
2018-01-01 |
NONCOMM |
N |
PMC5763445 |
29379839.0 |
10.4103/apjon.apjon_62_17 |
lbux40xj |
0.754115 |
|
Su_T_2007 |
| 6 |
Barrett_2009 |
Validation of a short form Wisconsin Upper Respiratory Symptom Survey (WURSS-21) |
Barrett, Bruce; Brown, Roger L; Mundt, Marlon P; Thomas, Gay R; Barlow, Shari K; Highstrom, Alex D; Bahrainian, Mozhdeh |
2009 |
2009-08-12 |
COMM-USE |
N |
PMC2748069 |
19674476.0 |
10.1186/1477-7525-7-76 |
szzr24ji |
0.749194 |
|
Barrett_2005, Hui_D_2005 |
| 7 |
Park_2017 |
Development and Validation of the Korean Version of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire for Patients with Non-muscle Invasive Bladder Cancer: EORTC QLQ-NMIBC24 |
Park, Jinsung; Shin, Dong Wook; Kim, Tae-Hwan; Jung, Seung Il; Nam, Jong Kil; Park, Seung Chol; Hong, Sungwoo; Jung, Jae Hung; Kim, Hongwook; Kim, Won Tae |
2017 |
2017-03-10 |
NONCOMM |
N |
PMC5784644 |
28279061.0 |
10.4143/crt.2016.594 |
4pbwjlm3 |
0.719414 |
Hong_2009, Langerud_2018 |
Xu_X_2018, Farsi_2017 |
| 8 |
Moyer_2009 |
Optimism/pessimism and health-related quality of life during pregnancy across three continents: a matched cohort study in China, Ghana, and the United States |
Moyer, Cheryl A; Yang, Huixia; Kwawukume, Yao; Gupta, Anu; Zhu, YuChun; Koranteng, Isaac; Elsayed, Yasmin; Wei, YuMei; Greene, Jonathan; Calhoun, Cecilia; Ekpo, Geraldine; Beems, Megan; Ryan, Megan; Adanu, Richard; Anderson, Frank |
2009 |
2009-09-01 |
COMM-USE |
N |
PMC2744663 |
19723332.0 |
10.1186/1471-2393-9-39 |
xsjdy3yz |
0.497318 |
You_J_2009 |
Boivin_2011, Boivin_2011 |
| 9 |
Lam_S_2006 |
The Validity and Reliability of the Functional Impairment Checklist (FIC) in the Evaluation of Functional Consequences of Severe Acute Respiratory Distress Syndrome (SARS) |
Lam, Siu Pui; Tsui, Eva; Chan, Kin Sang; Lam, Cindy LK; So, Ho Pui |
2006 |
2006-01-01 |
PMC |
N |
PMC7088534 |
16468078.0 |
10.1007/s11136-005-1463-5 |
grp5hx3z |
0.472990 |
Langerud_2018, Hong_2009 |
Hong_2009, Hui_D_2005, Mak_I_2009 |
| 10 |
Ryu_H_2018 |
Validation of the Munich ChronoType Questionnaire in Korean Older Adults(*) |
Ryu, Hyera; Joo, Eun Yeon; Choi, Su Jung; Suh, Sooyeon |
2018 |
2018-07-26 |
NONCOMM |
N |
PMC6111220 |
30048583.0 |
10.30773/pi.2018.04.09 |
n4zvn77h |
0.458244 |
Hong_2009, Wu_K_2005, Langerud_2018, Zong_2010 |
Xu_X_2018, Farsi_2017, Hong_2009 |
| 11 |
Chen_2011 |
Validation of the Impact of Event Scale-Revised for adolescents experiencing the floods and mudslides |
Chen, Cheng-Sheng; Cheng, Chung-Ping; Yen, Cheng-Fang; Tang, Tze-Chun; Yang, Pinchen; Yang, Rei-Cheng; Huang, Ming-Shyan; Jong, Yuh-Jyh; Yu, Hsin-Su |
2011 |
2011-12-31 |
PMC |
N |
PMC7118467 |
22208539.0 |
10.1016/j.kjms.2011.06.033 |
nk3sagba |
0.365897 |
Hong_2009, Wu_K_2005 |
Lowe_2013, Abu-El-Noor_2016, Hong_2009, Jahanshahi_2020 |
| 12 |
Kwon_2020 |
One-Year Visiting Care Service Treatment with Korean Medicine for a Solitary Elderly Woman in a Public Health Setting: A Case Report |
Kwon, Chan-Young; Chung, Sun Yong; Kim, Jong-Woo |
2020 |
2020-04-18 |
PMC |
N |
|
|
10.1016/j.explore.2020.04.004 |
zjcj18vo |
0.307957 |
|
|


In order to perform its function, Carat must periodically collect generic information about your device and how you are using it. This information includes the following:
We DO NOT collect any personally identifying information: no names, no email addresses, no private data from other apps, and so on. Although Carat does use iOS's location services to detect whether you are moving around, it doesn't record your absolute location. Carat has a public github repository, so you don't need to take our word for it.
Carat periodically sends this information to our servers, where we do math on it and subsequently share the results with you. Carat tries to do all of this unobtrusively. Although we encourage you to open Carat every now and then so it can send us new data, you can pretty much forget it's running until you'd like to investigate a battery problem.
Carat is an academic research project. We reserve the right to publish our results and to release the data into the public domain. (Remember: the data does not identify you in any way.) We will never sell your data or use it to advertise to you.
We respect your privacy and value your trust. When you downloaded Carat, you agreed to our EULA, which contains additional information. If you have any questions or concerns, just ask.


public class GFLassoAnalyzer extends AbstractAnalyzer
AbstractAnalyzer
object.AbstractAnalyzer
| Constructor and Description |
|---|
GFLassoAnalyzer() |
| Modifier and Type | Method and Description |
|---|---|
CGEModel |
analyze(AbstractOptions o,
SamplesLabels labelsPar,
SamplesGeneticData dataPar)
Performs the training phase of the analyzer/algorithm.
|
CGEPrediction |
applyModel(AbstractOptions options,
CGEModel model,
SamplesLabels label,
SamplesGeneticData sample)
Applies a model generated at the training phase to a specific patient sample.
|
GFLassoAnalyzer |
create(AbstractOptions options)
Instantiates an object from the relevant type.
|
java.lang.String |
getName()
Returns the name of the class to be registered in the CGEframework so that objects from this class
can be instantiated.
|
SamplesGeneticData |
loadData(AbstractOptions optionsPar)
Loads the genetic data of the patients samples to be trained on.
|
SamplesLabels |
loadLabels(AbstractOptions optionsPar)
Loads the clinical variables or disease labels of the patients samples to be trained on.
|
int |
saveModel(AbstractOptions options,
CGEModel model)
Saves the
CGEModel that was generated in AbstractAnalyzer.analyze(AbstractOptions, SamplesLabels, SamplesGeneticData) to a database and/or file. |
public CGEModel analyze(AbstractOptions o, SamplesLabels labelsPar, SamplesGeneticData dataPar)
AbstractAnalyzer
analyze
in class AbstractAnalyzer
o
- properties defined in the input properties file.labelsPar
- the clinical variables / disease labels for the training process. See AbstractAnalyzer.loadLabels(AbstractOptions)
for more info.dataPar
- the genetic data information of the patients to be trained onCGEModel
object with the model that was generatedpublic GFLassoAnalyzer create(AbstractOptions options)
AbstractAnalyzer
create
in class AbstractAnalyzer
options
- properties defined in the input properties file.public java.lang.String getName()
AbstractAnalyzer
getName
in class AbstractAnalyzer
DataAnalysisPhaseController
public SamplesGeneticData loadData(AbstractOptions optionsPar)
AbstractAnalyzer
loadData
in class AbstractAnalyzer
optionsPar
- properties defined in the input properties file.AbstractAnalyzer.analyze(AbstractOptions, SamplesLabels, SamplesGeneticData)
public CGEPrediction applyModel(AbstractOptions options, CGEModel model, SamplesLabels label, SamplesGeneticData sample)
AbstractAnalyzer
CGEModel
for a
specific sample.applyModel
in class AbstractAnalyzer
options
- properties defined in the input properties file.model
- the model to validate the patient against.label
- clinical or other information attached to the sample to be test (if needed)sample
- the genetic data information of the specific sampleCGEPrediction
object with the resultpublic int saveModel(AbstractOptions options, CGEModel model)
AbstractAnalyzer
CGEModel
that was generated in AbstractAnalyzer.analyze(AbstractOptions, SamplesLabels, SamplesGeneticData)
to a database and/or file.saveModel
in class AbstractAnalyzer
options
- properties defined in the input properties file.model
- the CGEModel
to be savedpublic SamplesLabels loadLabels(AbstractOptions optionsPar)
AbstractAnalyzer
loadLabels
in class AbstractAnalyzer
optionsPar
- properties defined in the input properties file.AbstractAnalyzer.analyze(AbstractOptions, SamplesLabels, SamplesGeneticData)


Video: Tottenham fan tells Pochettino to take over at Arsenal and win them the league in BIZARRE attack on Spurs chief Levy
by Magnus EriksenTottenham fans are not a happy bunch today, though we’re not sure many would go as far as this guy did when he called up talkSPORT.
Watch the clip below as this distraught Spurs fan hits out at club chief Daniel Levy following the decision to sack Mauricio Pochettino and replace him with Jose Mourinho.
MORE: Opinion: Jose Mourinho to Tottenham is a move of mutual desperation that is doomed to fail
It’s fair to say the decision to hire Mourinho is going down particularly badly, and this Tottenham fan now wants to see Pochettino go and prove Levy wrong in the worst way imaginable.
Yes, he genuinely wants to see the Argentine take over at north London rivals Arsenal and win them the Premier League title.
For once, Gooners and Spurs fans may now have something in common…


Hi there!
My name is Amber and I live in the Shenandoah Valley.
I love art, nature, and the way that technology connects us all.
I adhere to a lean startup mindset. I'm thrifty when it comes to budgeting, marketing, and design!
In my free time I hike with my dog, cook, paint, and do yoga.
I'm excited by interesting projects and love helping businesses grow.
I look forward to speaking with you!


val messageBroadcast: ConflatedBroadcastChannel<Message>
Broadcast of newly coming messages
Listen to it by BroadcastChannel.openSubscription


Defines solution to the Convex Hull problem proposed by Andrew which uses HeapSort to sort the initial data set rather than QuickSort.


---
layout: post
title: A Preliminary Drug Classification Scheme/Ontology
date: '2010-11-09T08:00:00.001Z'
author: John Overington
tags:
modified_time: '2010-11-09T15:37:50.502Z'
thumbnail: http://2.bp.blogspot.com/_SlPG9DIz_AA/TNlpph-EQpI/AAAAAAAAA6g/eFaaN2j5Vp4/s72-c/789562418_eaf97f9aff_o.jpg
blogger_id: tag:blogger.com,1999:blog-2546008714740235720.post-5378977668177919662
---
It is tempting to want a complete and robust way to describe drugs. Here is an outline classification of important drug properties relating to the series of new drug approvals we have been writing for some time now. We think it captures quite a lot.
http://www.few.vu.nl/~frankh/postscript/WWW-WS04.pdf
http://www.elsevier.com/wps/find/bibliographicdatabasedescription.cws_home/707574/description#description
Both of these are proprietary.
Drug Substance Ontology
Drug Therapeutic Class
- Supplement
- Therapeutic
- Radiotherapeutic
- Imaging Agent
- Radiolabelled
- Diagnostic Agent
Drug Substance Type
- Biological
- Gene Therapy
- Cell Therapy
- Oligosaccharide
- Oligopeptide
- Peptide
- Protein
- mAb
- Enzyme
- Oligonucleotide
- RNA
- DNA
- PNA
- Organic Small Molecule
- Synthetic
- Natural Product
- Inorganic
Drug Substance Stereochemistry
- Enantiomer
- Diastereomer
- Racemate
Drug Formulation
Drug Dosing and Delivery
Drug Active Component


{% extends "base.html" %} {% block head %} {% end %} {% block content %}
Experimental demo of a serverless version of OpenPifPaf. Only static assets are loaded from the web. All computation happens on the client side. Currently only shows a representation of the fields without decoding the poses. Input image size is {{width_height[0]}}x{{width_height[1]}}.
Only works in landscape mode. Needs access to a camera (use Safari on iOS).


Structure passed through DriverTypes_Packet addr field. More...
#include <mcasp_drv.h>
Data Fields | |
| Mcasp_ChStatusRam * | chStat |
| Mcasp_UserDataRam * | userData |
| uint16_t | writeDitParams |
| uint32_t * | addr |
Structure passed through DriverTypes_Packet addr field.
In order to pass data for the DIT Channel Status and User Data RAM registers, the addr field of the IOM_Packet is cast to Mcasp_PktAddrPayload. The addr field holds pointers to Mcasp_ChStatusRam and Mcasp_UserDataRam in addition to the DMA address to be programmed.
NOTE: The Mcasp_ChStatusRam and Mcasp_UserDataRam fields will be read only for a transmit channel operating in DIT mode.
| uint32_t* Mcasp_PktAddrPayload_s::addr |
Actual address to program DMA with * Address of data word if transactions are interrupt driven
| Mcasp_ChStatusRam* Mcasp_PktAddrPayload_s::chStat |
Channel Status RAM innfo
| Mcasp_UserDataRam* Mcasp_PktAddrPayload_s::userData |
User Data RAM info
| uint16_t Mcasp_PktAddrPayload_s::writeDitParams |
Determines whether Channel Status and User Data get * written in case of interrupt mode


To cut a long story short, last year I lost my job. For me, this was quite a harrowing event as I had worked since leaving school, had a flat, bills to pay etc. Within the first month, I had become agoraphobic, extremely anxious, had a specific phobia and became depressed. I had always been quite a quiet, anxious person already, but I felt now as if I had lost my whole 'self'.  Little did they know that I meant every word and that every day I hoped I would not wake up again.
I have never been skeptical about medications and so was very open minded about trying anything along with cognitive behavioral therapy. I was prescribed Paroxetine 10mg and referred to a psychologist.
At first, the only side-effects I had were occasional headaches and an overwhelming desire to sleep more. In some ways, this was a bad thing, as it meant I spent a lot of time procrastinating. After a few weeks, I began to feel better. I remember the biggest thing for me was getting up one day and walking into town (something which I was so scared to do beforehand, and I only lived 15 minutes from town). Gradually, I started to make this a more frequent occurrence and also would manage really scary things like getting on a bus or train (laughable, I know, but for me these things had to be avoided). As time went on, I felt a bit more confident in myself and wanted to focus on what I could achieve in life.
On the other hand, one thing that is slightly disappointing is that I no longer have the sexual desire I once had.  Another small disappointment is that I have some slight 'zap' moments in my brain, whereby if I move my head slightly I get a wee zappy feeling....it is really hard to describe unless you understand!!
Obviously, having CBT has helped immensely, and I do take that into account. But I know that Paroxetine has been of great benefit, even on such a low dose.
Never before have I felt so positive about the future. Yes, I do have bad days, which I knew to expect, but all in all, I can say that using Paroxetine has been nothing but a positive experience. I do worry that I may become reliant upon it, but anything is better than feeling as though I was better off dead.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Text
Text(float x, float y, string txt)
Description
Prints a character string. The origin is on the left of the first character, on the baseline.
This method allows to place a string precisely on the page, but it is usually easier to use
Cell(), MultiCell() or Write() which are the standard methods to print text.
Parameters
x
-
Abscissa of the origin.
y
-
Ordinate of the origin.
txt
-
String to print.
See also
SetFont,
SetTextColor,
Cell,
MultiCell,
Write


EyeNet Code Metrics:
Accuracy (Training): 82%
Accuracy (Testing): 80%
Precision: 88%
While EyeNet utilizied downsampled images of eyes into 256 by 256 squares, the data I attempted to use would be medical scan files (in the .svs format) which were 10s of Mb even in compressed form, which took roughly a minute to download per slide. While evidence of Diabetic Retinopathy in eye pictures was preserved for the most part even after this downsampling, I was worried that the details of cancer scan files would need to be preserved in close to their entirety. Combined with the inability to download identical tissue scans and cancer types in large numbers, it seemed almost all training data would have to be hand-selected.
Because the file format was not readily accessible, I had to implement Python API of OpenSlide link) , and write code to extract the files as well as their annotations to begin training the correlation of the two for image classification. The goal from there would be to take scans of non-cancerous cells as well as cancerous cells of the same tissue and the same cancer, leaving the dense, 128 layer CNN to correlate simply cancerous cells vs. not. However, even in extracting the files for programatic manipulation, I ran into overflow issues.
Image (left to right): Breast Cancer cell, Lung Carcinoma cell (1), Lung Carcinoma (2) Extraction code lines, Error in image extraction.


% if(is_shc) { %>
You cannot make an input on a Search Head Cluster. Create the input on a forwarder or on the deployer instead.
<% } else if(!has_permission) { %>
You do not have permission to make Website Monitoring inputs. You are missing the following capabilities: <%- capabilities_missing.join(", ") %>.
<% } else { %>
<% } %>


Click on each restaurant logo to find your nearest locations!
Year Round:
Sign up for the Birthday Club and receive a free cone on your birthday.
Join the Chunk Spelunker email club and receive a free cone on your birthday.
Sign up for email alerts, and get a BOGO creation cone.
Join Culver’s E-Club, and get a free birthday cone.
Join the Dot Crazy! Rewards Club, get a free cup on your bday.
Join the Blizzard Club, and get a birthday surprise and anniversary discount.
Join the BFF club for a free birthday sundae.
Receive a free doughnut when you sign up for e-updates.
Join the e-club, and get a birthday surprise.
Sign up for the loyalty club, and receive a free yogurt on your birthday.
Sign up for Sprinkles Perk for a free cupcake on your birthday.
Free small yogurt when you sign up for myTCBY.
Every Wednesday, get a free ice cream treat when you buy one.

If you buy one signature pink one-gallon tin of Garrett Mix, you’ll get a second one for free.
When you buy eight Kernel Season’s popcorn toppings, you’ll get two free.
February:
Varies Each Year:
Every IHOP customer receives a short stack of original buttermilk pancakes for free.
9th (National Bagel Day and National Pizza Day):
Make a purchase for a free order of Bagel Tasters, which includes 10 bite-sized bagels with cream cheese.
Free bagel with no purchase necessary.
Order a Pepsi fountain drink, and get a free cheese or pepperoni personal pizza.
14th (Valentine's Day):
Free dessert when you buy a main course.
Buy one get one free coffee.
March:
14th (Pi Day):
The restaurant is giving away a free pot pie to people who buy another pot pie and a drink.
The Michigan-based pie purveyor is offering a free slice of apple-, blueberry- and cherry-packed Michigan ABC pie with any purchase.
20th (First Day of Spring):
Get a free limited edition cup of Italian ice in your flavor of choice to welcome spring back.
April:
Free Cone Day (Varies):
Free ice cream with no purchase necessary.
18th (Tax Day):
Free cinnabon bites with no purchase necessary.
Free curly fries with no purchase necessary.
Earth Day (Varies):
Free milkshake with no purchase necessary.
26th (National Pretzel Day):
Get a buy-one-get-one-free offer by downloading the chain's free mobile app and joining the free rewards program.
Get a free Chill Zone beverage with purchase of any pretzel from noon to 6 p.m. No coupon is necessary.
Get a free pretzel with no purchase necessary.
30th:
Free chips and guac.
May:
Mother's Day (Varies):
Free six ounce frozen yogurt for mothers.
Memorial Day (Varies):
Veterans and active-duty military can eat for free with the purchase of a drink.
Active and retired military personnel can pick up a complimentary menu item at any Twin Peaks restaurant for dine-in.
99 has a buy a meal and get a free entrée from the "9 Real Size Entrées" deal for vets and active-duty military.
US military personnel get a free small coffee or soft drink and a free donut.
June:
Father's Day (Varies):
Free six ounce frozen yogurt for fathers.
National Donut Day (Varies):
Free donut with no purchase necessary.
Free donut with no purchase necessary.
Free donut when you buy a drink.
10th (National Iced Tea Day):
Free Big Gulp iced tea and 16 ounce Snapple Iced Tea e-coupon on its smartphone app.
July:
9th (National Sugar Cookie Day):
Show Instagram story offer in-store for a free cookie with any in-store purchase.
Cow Appreciation Day (Varies):
The restaurant will give away a free entree to anyone who dresses up as a cow.
11th:
Free small slurpee with no purchase necessary.
National Hot Dog Day (Varies):
Customers get one free hot dog when one hot dog is purchased at regular price.
Each customer can get an original turkey dog for free.
National Ice Cream Day (Varies):
Customers can get a free vanilla soft-serve cone throughout the day.
Receive a second cup or cone free with a purchase of one soft-serve ice cream of any size.
Celebrate National Ice Cream day with a free mini cup of Dippin' Dots at participating stores and shopping center locations.
29th (National Chicken Wing Day):
Enjoy 10 free smoked wings with the purchase of any 10 wings at participating Hooters nationwide.
Get 10 free wings with a purchase of 10 or more wings when you dine in. All locations excluding Marietta and Woodstock.
At participating locations, get five free boneless wings with any purchase from 11 a.m. to 5 p.m. on July 29.
Buy one order of wings get another one for free.
Buy 10 wings, get five free.
August:
1st:
Free coffee with no purchase necessary.
Free ice cream with no purchase necessary.
4th:
Free coffee with no purchase necessary.
6th:
Free root beer float with no purchase necessary.
September:
9th:
Free mini chocolate croissant with no purchase necessary.
17th:
Free queso with no purchase necessary.
18th (National Cheeseburger Day):
Free cheesy burger to customers who download their mobile app by this day.
19th (Talk Like a Pirate Day):
Free donut if you talk like a pirate or free dozen if you dress like a pirate.
29th (National Coffee Day):
Each customer can get a free 12-ounce coffee with no purchase required.
Customers get a free medium cup of coffee with the purchase of another medium, large, or extra-large cup of coffee.
Every customer can get a free coffee with no purchase required.
Free hot or iced coffee in any size with no purchase necessary.
Members of 7-Eleven’s 7Rewards app will get a coupon good for one free coffee in any size, redeemable anytime Friday through Sunday.
All customers get a choice of free hot, iced, or cold-brewed coffee from noon until closing.
October:
4th (National Taco Day):
For every taco you buy at regular price, you’ll get a second taco for free.
People who dress up in a full taco costume get a free entrée. They also give away a free crispy beef taco with an entrée purchase.
Buy one ground beef or bean taco, and a second taco is free.
Get a free taco with any purchase at Taco Bueno.
Each customer can get one free crispy taco apiece at Taco Time on National Taco Day.
31st (Halloween):
Free scary face pancake with no purchase necessary.
Free donut with no purchase necessary.
November:
11th (Veteran's Day):
Free meals to current and former soldiers with no purchase necessary.
Free meals to current and former soldiers with no purchase necessary.
Free meals to current and former soldiers with no purchase necessary.
Free meals to current and former soldiers with no purchase necessary.
All-you-can-eat pancakes to current and former soldiers with no purchase necessary.
December:
4th (National Cookie Day):
Free regular chocolate chip cookie with no purchase necessary.
Free cookie with any purchase.
Free cookie with no purchase necessary.


Authors: RJ Skerry-Ryan, Eric Battenberg, Ying Xiao, Yuxuan Wang, Daisy Stanton, Joel Shor, Ron Weiss, Rob Clark, Rif A. Saurous
Abstract:
We present an extension to the Tacotron speech synthesis architecture that learns a latent embedding space of prosody, derived from a reference acoustic representation containing the desired prosody.
We show that conditioning Tacotron on this learned embedding space results in synthesized audio that matches the prosody of the reference signal with fine time detail even when the reference and synthesis speakers are different.
Additionally, we show that a reference prosody embedding can be used to synthesize text that is different from that of the reference utterance.
We define several quantitative and subjective metrics for evaluating prosody transfer, and report results with accompanying audio samples from single-speaker and 44-speaker Tacotron models on a prosody transfer task.
This page contains a set of audio samples in support of the conclusions in our paper: we suggest that the reader listen to the samples in conjunction with reading the paper.
All utterances were unseen in training.
A single-speaker model trained on audiobook recordings, conditioned on utterances from an expressive corpus of digital assistant responses. The model never saw these speakers nor digital-assistant-style utterances during training. The base model uses no prosody embedding, while the tanh-128 model uses a 128-dimensional tanh-scaled prosody embedding computed from the reference utterance.
Reference: Text: How do bureaucrats wrap presents? With lots of red tape.
Voice
North American female
base:
tanh-128:
Reference: Text: Why are libraries so strict? They have to go by the book.
Voice
North American female
base:
tanh-128:
Reference: Text: Why are fish so smart? Because they hang out in schools so much.
Voice
North American female
base:
tanh-128:
Reference: Text: Heaps of things. Like fairy bread, how the surf is today and why magpies swoop.
Voice
North American female
base:
tanh-128:
Reference: Text: The past, the present, and the future walk into a bar. It was tense.
Voice
North American female
base:
tanh-128:
Reference: Text: I usually down a cup of java script. Then I put on nature sounds and run a few strenuous searches to improve my speed
Voice
North American female
base:
tanh-128:
Reference: Text: I don't have eyes, but I don't need them to know the vibe in here feels good
Voice
North American female
base:
tanh-128:
Reference: Text: What time do you go to the dentist? At tooth-hurty!
Voice
North American female
base:
tanh-128:
Reference: Text: Sweet dreams are made of these. Friendly Assistants who work hard to please
Voice
North American female
base:
tanh-128:
Reference: Text: You are what you eat. So I guess I'm a whole lot of data and a little bit of pizza recipes.
Voice
North American female
base:
tanh-128:
Reference: Text: Men say they know many things; But lo! they have taken wings, The arts and sciences, And a thousand appliances; The wind that blows Is all that any body knows.
Voice
North American female
base:
tanh-128:
Reference: Text: Do you prefer chocolate or jelly? Which would you like in your belly? You could make a good case, For a cool ice cream base, But I'd argue against vermicelli
Voice
North American female
base:
tanh-128:
Reference: Text: Halloween Edition it is! Remember to follow the moves as I say them.
Voice
North American female
base:
tanh-128:
Reference: Text: Why are archaeologists so annoyed? They always have a bone to pick.
Voice
North American female
base:
tanh-128:
Reference: Text: That one sailed RIGHT over my head.
Voice
North American female
base:
tanh-128:
Reference: Text: Wear your heart on your sleeve. It'll terrify people.
Using our 44 speaker dataset, we trained a baseline and prosody encoder model. Below, on the left are a set of reference utterances — we want to capture the prosody of these utterances. On the right are utterances synthesized with this prosody, but with a voice already in the dataset (these are labeled tanh-128). We also provide a baseline, from a Tacotron model with no prosody encoder. Notice how we are able to capture the prosody of the reference speaker, yet with the voice characteristics of the target voice.
Reference: Text: The group didn't *WALK* through Central Park, they *RAN* through it.
Voice
North American female
North American male
Australian female
British female
British male
Indian female
base:
tanh-128:
Reference: Text: That'd be some cosmic conversation.
Voice
North American female
North American male
Australian female
British female
British male
Indian female
base:
tanh-128:
Reference: Text: No no, dear reader.
Voice
North American female
North American male
Australian female
British female
British male
Indian female
base:
tanh-128:
Reference: Text: *IS* that Utah travel agency?
Voice
North American female
North American male
Australian female
British female
British male
Indian female
base:
tanh-128:
Reference: Text: Happy Halloween.
Voice
North American female
North American male
Australian female
British female
British male
Indian female
base:
tanh-128:
Reference: Text: No one at fort griswold had been excepting anything especially after there had been six years of false alarms
Voice
North American female
North American male
Australian female
British female
British male
Indian female
base:
tanh-128:
Reference: Text: Only one was deployed, while they need a hundred teams.
Voice
North American female
North American male
Australian female
British female
British male
Indian female
base:
tanh-128:
Reference: Text: Quick as he himself thought, he was to keep the batsman on toes.
A 44-speaker model conditioned on utterances from an emotive corpus of audiobook recordings. The 44-speaker model was not exposed to the audiobook speaker, nor any audiobook-style recordings in training. We are able to transfer the extreme variations in prosody from the audiobook speaker to our 44-speakers, despite having far less prosodic variation in the training dataset.
Reference: Text: "Wait a minute!" called the Scarecrow.
Voice
Australian female
British female
North American male
North American female
base:
tanh-128:
Reference: Text: It will be good for both of you.
Voice
Australian female
British female
North American male
North American female
base:
tanh-128:
Reference: Text: "Oh, now and then," said Lucy, who had rather enjoyed herself.
Voice
Australian female
British female
North American male
North American female
base:
tanh-128:
Reference: Text: I've swallowed a pollywog.
Voice
Australian female
British female
North American male
North American female
base:
tanh-128:
Reference: Text: Not in that way.
Voice
Australian female
British female
North American male
North American female
base:
tanh-128:
Reference: Text: I charge you by all that is sacred, not to attempt concealment.
Voice
Australian female
British female
North American male
North American female
base:
tanh-128:
Reference: Text: I have escaped; and that I should escape, may be a matter of grateful wonder to you and myself.
Voice
Australian female
British female
North American male
North American female
base:
tanh-128:
Reference: Text: His had a cold, ugly look of dislike and contempt, and indifference to what would happen.
Voice
Australian female
British female
North American male
North American female
base:
tanh-128:
Reference: Text: I hate helping to hang heavy, hot, hairy hides on them.
This experiment examines the effect of changing the bottleneck size and activation of the prosody encoder. In general, the larger the bottleneck, the more faithful the reproduction of the reference prosody—but some of the speaker characteristics start leaking through. Interestingly,the softmax activation enforces a more aggressive bottlenecking of information.
Reference: Text: 'It's spoilt, of course!' Here he looked at Tweedledee, who immediately sat down on the ground, and tried to hide himself under the umbrella.
Voice
North American female
base:
softmax-128:
softmax-16:
tanh-16:
tanh-32:
tanh-64:
tanh-128:
Reference: Text: So, to punish it, she held it up to the Looking-glass, that it might see how sulky it was -- 'and if you're not good directly,' she added, 'I'll put you through into Looking-glass House.
A single-speaker model trained on audiobook recordings. In these examples, the left-hand column contains an unseen reference utterance from the same speaker. On the right-hand side, we synthesize a perturbed version of that text: on top is synthesis with no conditioning, and on the bottom is the single-speaker model conditioned on the reference utterance.
Reference: Reference text: 'I can now,' said the Leopard. Perturbed text: 'I can now,' said the Porcupine.
Voice
North American female
base:
tanh-128:
Reference: Reference text: For the first time in her life she had been danced tired. Perturbed text: For the last time in his life he had been handily embarrassed.
Voice
North American female
base:
tanh-128:
Reference: Reference text: Second--Her family was very ancient and noble. Perturbed text: First--Her family was very sarcastic and horrible.
Voice
North American female
base:
tanh-128:
Reference: Reference text: Never again shall Eleanor Lavish be a friend of mine.
Voice
North American female
base:
tanh-128:
Reference: Reference text: Now it is all dark. Perturbed text: Later it will all be lost.
Reference: Reference text: I cannot think why this wall is here, nor what it is made of. Perturbed text: I do not know why this guy is here, or what his name is.
Voice
North American female
base:
tanh-128:
Reference: Reference text: Alice was not much surprised at this, she was getting so used to queer things happening. Perturbed text: Eric was not much surprised at this, he was getting so used to TensorFlow breaking.


In summer 2019, I was a product design intern on the Shopify App Store team. I led a large scale research project where I discovered pain points and opportunities for our team to focus on and invest resources into.
Figma, Sketch, Whimsical
Service Design, User Research, Wireframing, Product Management
Internship (4 months)
During this internship, I got the opportunity to learn more about the initial stages of a design project—research, scoping, running workshops, prioritizing and setting the vision.
I was tasked to lay down the foundation for a large scale service design project that was part of a larger initiative in the Platform team.
At Shopify, I was given a lot of responsibility, so I got the opportunity to champion this service design project. My work is under an NDA, but some of the work I did was:
The team is now investing time to build out features for the problem areas I identified in my research.
This service design work is reusable by many teams and will be contributing significantly to the product line’s top priority project this year.
Context Heavy & Complex Problem Space
It required a lot of research to fully understand the problem space we were exploring and how they affected our ecosystem of partners and merchants.
Vague Project
This was a personal challenge but I learned to thrive in ambiguity this summer. The project was vague — there was no scope and no direction. Our only goal was to improve the speed of the process.
Difficult to Measure Success
The problem space was complicated, there were many edge cases, seasonality effects and other variables—making it difficult to define success metrics.
I started by looking at past projects, related research and experiments. By gathering context, it helped me understand the problem space better before diving into research.
From my research, I learned about the entire process and its complexities — the edge cases, the tooling and the redundancies.
To consolidate these findings, I created a service design blueprint to visualize the relationships and interactions between our internal teams and our partners.
After creating this blueprint, I was able to identify 3 areas that had opportunities for improvement and optimization.
After a few discussions, our team decided to focus on the middle area (teal in the image) since it had the most potential to increase speed.
This research work and blueprint is currently being used by many other teams working on related projects.
Since this was a large scale project, I presented my research findings and proposal to design leadership to get buy in. I got some great feedback and the go ahead to move forward.
Then, I created a project brief to outline the goals and scope of this project. I also worked with a data scientist to determine useful success metrics for this project.
After deciding on a focus area, there were still a lot of unanswered questions because the problem space was so complex.
Our team decided that it would be useful for all of us to get in a room and jam on the problem. I spent a few days planning the workshop and gathering feedback from key stakeholders and other designers.
In July, my product manager, mentor and I flew to HQ where I led and facilitated the workshop.
Goal
Brainstorm and come up with many ideas for the App Store team to further discuss after the workshop
Length
4 hours
Activity Breakdown
After the workshop, I digitized the journey map, ideas from solutioning exercises and synthesized key takeaways to share across teams.
I bucketed the pain points and potential solutions into quick wins and projects that required more development or UX work.
The quick wins were implemented as part of our team hack days and have already increased speed.
Since I had the most context on this problem, my role was to synthesize all the findings and set the future vision for the project.
This was a big task.
To help guide myself, I analyzed the solutions from the workshop and extracted the most common themes they were trying to solve for. Then, I prioritized the themes based on impact, time, and risk.
Using this, I began my explorations.
I explored several different solutions and flows before coming up with a proposal for the future vision. I wireframed the UI for this ideal flow and iterated on it based on feedback from users and stakeholders.
Using the prioritized list of themes, I made recommendations on what an MVP would look like. Since I understood how the system worked through my service design research, I also noted how all the relevant teams would interact with this flow.
There were many tradeoffs I had to make during my designs, so I listed the potential risks associated with my decisions to be further iterated on.
Throughout this experience, I got to wear many different hats and learn about many things — research methods, service design, scoping out problems and running a workshop.
It was a very complex problem space, so I had to learn how to consolidate a lot of information and ideas into an actionable solution. It was different than any design work I did in the past — there was more focus on the process and laying down the groundwork for future design work.
And, since I was conducting research that was useful for multiple projects across the product line, I also learned about the importance of communication. This was an area people knew little about, so it was important to create meaningful and digestible artifacts to share my work with other teams.
Before my internship ended, I gave a short talk on why communication is key and how it played a huge role in my internship.
I hated writing for years, but I finally decided I was going to work on this skill. It took some courage, but I ended up writing a short article for the UX blog about my internship experiences and the things I learned to do to make the most out of them.
See Medium Article →If you’d like to hear more about my experience, feel free to send me an email–I’d love to chat ☕.
If you'd like to see more, check out my other projects below!


Hey Dry!
*Sign our petition to stand with Tennessee women, [ http://org.salsalabs.com/o/1400/p/dia/action3/common/public/?action_KEY=16942 ] who are fighting multiple anti-abortion measures in the Tennessee legislature right now. *Take action to show lawmakers in Tennessee and in every state that we will not stand idly by as they attack reproductive rights.
[ http://org.salsalabs.com/o/1400/p/dia/action3/common/public/?action_KEY=16942 ]
With new power to regulate abortion as a result of the narrow passage of Amendment 1 - a dangerous amendment to the state constitution that strips privacy protections from the state constitution that prevented extreme abortion restrictions - Republicans are taking up multiple anti-abortion measures. These bills include unnecessary and harassing clinic inspections, mandatory counseling, waiting periods, and forced ultrasounds, and requiring doctors to deliver manipulative and deceiving information to their patients about abortions.
*That’s why we’re petitioning Governor Bill Haslam, Senate Speaker Ron Ramsey, and House Speaker Beth Harwell to implore them and the entire Tennessee General Assembly to respect a women’s right to abortion access.* [ http://org.salsalabs.com/o/1400/p/dia/action3/common/public/?action_KEY=16942 ]
*Sign the petition now and stop the state attacks on abortion rights. This fight is far from over. [ http://org.salsalabs.com/o/1400/p/dia/action3/common/public/?action_KEY=16942 ] *We will send in your signed petitions to stand with Tennessee women.
Sincerely,
*Ashleigh Moses*, *Edwith Theogene*
National Campus Organizers
Feminist Majority Foundation
You have received this e-mail because of your interest in women’s issues. To unsubscribe, please click on the link below.


hello everyone my name is dima I'm going to tell you a little about myself
- i'm 23 years old
- I have graduated from JUST computer engineering branch
- my intrests :
- playing piano
- playing violen
- swimming
- i'm an expert in networking and security field
my favarite colors


This is the paragraph styling, however, wherever you use an h tag, the css styling is ignored
This is my HTML Fundamentals Document
This is h2
this is h3
This is h4
this is h5
this is h6
This is the span styling
There are a total of 6 header types
This is strong
This is emphasised
This uses
a break
This is underline
This is all Italic
>
This is class1 style
There are a total of 6 header types
This is strong
This is emphasised
This uses
a break
This is underline
This is all Italic
Hover over me!
Lorem ipsum dolor sit amet consectetur adipisicing elit. Aliquid dolore temporibus harum, natus accusantium dolorum, explicabo praesentium, cupiditate consequuntur placeat ea vitae earum ipsam ratione officia impedit dolores! Veniam, quidem.
This is a link to google.com
See where I go!
- element 1
- element 2
- element 3
- element 4
- element 5
- number 1
- number 2
- number 3
| City |
State |
Zip Code |
| Crowley |
Texas |
76028 |
| Provo |
Utah |
84604 |
| Billings |
Montana |
12345 |
元 there should be a space >


This marina built in 2013 is located between Barranquilla and Cartagena. Puerto Velero is a popular beach resort and the marina is built on a reef and huge sand bar that extends from the mainland.
Reports from cruisers are good and state that it is more affordable here than Cartagena or Santa Marta. The area is clean and developing and a large anchorage is also available should you not wish to dock in the marina.
Whilst services and amenities ashore for shopping are limited, the marina is just 25 minutes by road from Barranquilla where provisions can easily be restocked. It does of course mean you will have to take a taxi to re-provision. There are plenty of bars and restaurants in the area.
Position 10° 56' 40"N, 75° 02' 22"W.
Full details on the formalities required for clearing into and out of Colombia can be found at Colombia Formalities.
For a list of agents see Clearance Agents.
Remember, an agent is required to clear into and out of Colombia, so no attempt at contacting the Port Captain should be made, except through your nominated clearing agent (Agencia Maritima) on arrival.
The marina acts as a Maritime agency so can help with paper work and clearance procedures.
A trip by taxi into Barranquilla to check-in with Immigration is required. This costs $80US.
Last updated July 2015.
There is a green buoy at the entrance to the marina (photo courtesy of Puerto Velero Marina). Call on VHF channel 08 prior to arrival.
There is power and water on the pontoons, some fingers (most of which are Med style mooring) and the marina can get fuel. The showers and washroom are clean, and laundry is possible via the marina office (not self-service).
An adjacent boatyard is still under construction, with haul out facilities to be completed. Some repair and maintenance services are now available.
The very large bay here provides a sheltered anchorage with a sandy bottom, 3-10m deep. The water here is reported to be very clean so you can swim off the boat and on many days see the bottom.
Last updated May 2016.


Video: 'Hundreds' of Rockets Fired From Gaza Toward Southern Israel - IDF
"Hundreds" of rockets were seen fired from Gaza into southern Israel late Wednesday, just 30 minutes after air raid sirens were triggered by officials.
The Israel Defense Forces shared footage of the ongoing deployments, writing in a tweet that "the skies of southern Israel ... [are filled with] hundreds of rockets being fired by Islamic Jihad from Gaza at Israeli homes."
MORE DETAILS TO COME.


Home
Cause
Animals
Blog
Take Action
How you can help
You can help by spreading our cause or donating to provide
vital equipment to our wildlife staff.
Nurturing baby elephants to live healthy
Protecting their home from poachers
Donating towards vital tools for our staff


{# Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. #} {% extends "airflow/dag.html" %} {% block page_title %}{{ dag.dag_id }} - {{ tab_title }} - Airflow{% endblock %} {% block head_css %} {{ super() }} {% endblock %} {% block content %} {{ super() }}


Jeddict was started by Gaurav Gupta in July 2013 with NetBeans IDE modeler framework and The first stable release of JPA Modeler(now Jeddict) was on Feb 10, 2014. Thank you for spreading the word!
| Component | # |
|---|---|
| First Line of Code | July 2013 |
| Modeling Framework | Nov 2013 |
| JPA Modeler | Feb 2014 (first release) |
| Reverse Engineering | Mar 2014 |
| JAXB | Feb 2015 |
| java.net to github | Dec 2015 |
| DB Modeler | Jan 2016 |
| MCV 1.0 + JSP | Apr 2016 (first full-stack application generator) |
| REST | June 2016 |
| Docker | Dec 2016 |
| Angular | Jan 2017 (jHipster fork) |
| JPA Modeler renamed to Jeddict | Mar 2017 |
| JSON-B Modeler | May 2017 |
| Java EE 8 | Sep 2017 |
| MicroServices | Nov 2017 |
| MicroProfile 1.1 | Jan 2018 |
| MicroProfile 1.2 | Apr 2018 |
| Native DB Modeler | Apr 2018 |
| MicroProfile 1.3 | June 2018 |
| React JS | Sep 2018 (jHipster fork) |
| MicroProfile 2.0 | Sep 2018 |
| Jakarta EE 10 | Sep 2022 |


{% trans %} You're not just competing for the Grand Prize. You could also win a People's Choice Award. Get tips to help your flick get votes. {% endtrans %}
{{ _('Read the blog post') }} * {{ _('English only') }}


S3875_WEBEGWP
Website content was last updated on 1/20/2021.
Granite Alliance Insurance Company is a Medicare-approved Prescription Drug Plan. Enrollment in Granite Alliance depends on contract renewal.
View our Non-Discrimination Notice.


Apply for a Budgeting Loan
5. Apply
Check you’re eligible before you apply
Apply online Apply onlineIf you apply online, you’ll be told whether you’ve been offered a loan within 15 working days. If you accept the offer, you’ll receive the money within 5 working days of your acceptance being received.
The loan is paid into your bank, building society or credit union account.
Other ways to apply
You can print and fill in form SF500. It can take up to 15 working days for your application to be processed.
You can also:
- pick up the form from your nearest Jobcentre Plus.
- phone the Social Fund and ask for a form to be posted to you - allow 5 working days for the form to arrive
Social Fund
Telephone: 0345 603 6967
Monday to Friday, 8am to 6pm
You can return your completed form by post or hand it in to your local Jobcentre Plus.
Questions about your application
Call the Social Fund if you have a question about the progress of your application.
Allow 15 working days before phoning if you return your form by post (it may not have been processed before then).


Sparse Distributed Representation Visualizations
These visualizations are best viewed at a large resolution (at least 2500px wide).
HTM School Episode 2: SDR Capacity and Comparison
HTM School Episode 3: SDR Overlap Sets and Subsampling
HTM School Episode 4: SDR Sets and Unions
HTM School Episode 5: Scalar Encoding
HTM School Episode 6: Datetime Encoding
HTM School Episode 7: Spatial Pooling


Advanced Garden Monitor
Dashboard
Plants and Sensors
Create Sensor
Sensor Type
Choose...
Plant
Enclosure
Sensor Function
Choose...
Temperature-Humidity
Soil-Moisture
Soil-Temperature
Plant ID
ID must be an integer greater than 0
Create Sensor
Create Plant
Name
Enclosure ID
ID must be an integer greater than 0
Plant Size (Gallons)
ID must be an integer greater than 0
Create Plant
Create Enclosure
Name
Location
Enclosure Dimension
Length
ID must be an integer greater than 0
Width
ID must be an integer greater than or equal to 0
Height
ID must be an integer greater than or equal to 0
Dimension Units
Choose...
Meters
Feet
Create Enclosure


Dur Hospitality to develop 5-star hotel in Madinah
Ishwar Chugani, managing director of Giordano, received the 2019 Retail Professional of the Year Award at the recent Middle East Retail Congress and Awards, organized by the Middle East Council of Shopping Centers and Retailers.
Chugani was selected for his outstanding work in steering Giordano to expand and penetrate markets beyond the Middle East. He has been at the helm of Giordano for the past 26 years and has over 40 years of retail experience in the region.
As managing director of Giordano Middle East, he heads the group’s business in the Middle East, India, Africa, Central Asia and Europe. Apart from his responsibilities at Giordano, Chugani is also a founding member of the Middle East Council of Shopping Centers and Retailers and the UAE Retail Business Group.


The translated help is available when topic
belongs to a package
installed
from CRAN and the system is online. Otherwise, normal help will be shown.
The source of the help is powered by 'RDocumentation', and
the translation is powered by 'Google Translate.
telp(topic, package = NULL, translate_to = "default", ...)
| topic | usually, a name or character string specifying the topic for which help is sought. A character string (enclosed in explicit single or double quotes) is always taken as naming a topic. If the value of See ‘Details’ for what happens if this is omitted. |
|---|---|
| package | a name or character vector giving the packages to look
into for documentation, or |
| translate_to | The help document will be translated to the specified
language (e.g., |
| ... | Arguments passed to |
if (FALSE) { telp(help) }


Computation times#
22:25.452 total execution time for auto_examples files:
Fingers flexion decoding on BCIC IV 4 ECoG Dataset ( |
05:43.141 |
1883.1 MB |
How to train, test and tune your model ( |
03:41.659 |
767.8 MB |
Searching the best data augmentation on BCIC IV 2a Dataset ( |
03:29.500 |
729.4 MB |
Hyperparameter tuning with scikit-learn ( |
02:08.708 |
506.4 MB |
Benchmarking preprocessing with parallelization and serialization ( |
01:42.156 |
441.0 MB |
Cropped Decoding on BCIC IV 2a Dataset ( |
01:41.173 |
864.1 MB |
Self-supervised learning on EEG with relative positioning ( |
00:54.959 |
149.0 MB |
Trialwise Decoding on BCIC IV 2a Dataset ( |
00:41.558 |
771.6 MB |
Data Augmentation on BCIC IV 2a Dataset ( |
00:40.723 |
1110.8 MB |
Sleep staging on the Sleep Physionet dataset using Chambon2018 network ( |
00:28.682 |
9.1 MB |
Fingers flexion cropped decoding on BCIC IV 4 ECoG Dataset ( |
00:25.332 |
1059.0 MB |
Sleep staging on the Sleep Physionet dataset using U-Sleep network ( |
00:12.305 |
314.2 MB |
Sleep staging on the Sleep Physionet dataset using Eldele2021 ( |
00:11.833 |
16.1 MB |
MOABB Dataset Example ( |
00:08.020 |
370.9 MB |
Load and save dataset example ( |
00:04.616 |
406.8 MB |
Split Dataset Example ( |
00:03.982 |
333.4 MB |
Process a big data EEG resource (TUH EEG Corpus) ( |
00:02.234 |
8.6 MB |
Regression example on fake data ( |
00:01.504 |
20.3 MB |
Multiple discrete targets with the TUH EEG Corpus ( |
00:01.293 |
17.7 MB |
Custom Dataset Example ( |
00:01.164 |
96.3 MB |
MNE Dataset Example ( |
00:00.910 |
79.4 MB |
Benchmarking eager and lazy loading ( |
00:00.000 |
0.0 MB |


Package model.report
Enum ReportCodeKey
- java.lang.Object
-
- java.lang.Enum<ReportCodeKey>
-
- model.report.ReportCodeKey
-
- All Implemented Interfaces:
java.io.Serializable
,java.lang.Comparable<ReportCodeKey>
public enum ReportCodeKey extends java.lang.Enum<ReportCodeKey>
Report templates all placeholder keys.
-
-
Enum Constant Summary
Enum Constants Enum Constant Description ALGORITHM_NAME
COMPILER
CPU
ENV_HEAP
IMPLEMENTATION_INFO
MAP_INFO
MAX_STEPS
OS
PATH_WEIGHT
PROCESSED_MAP
RUNTIME
SPACE_USED
STEPS_USED
THEORY_SPACE_COMPLEXITY
THEORY_TIME_COMPLEXITY
TIME_USED
VM_NAME
VM_VERSION
-
Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description java.lang.String
getStringValue()
static ReportCodeKey
valueOf(java.lang.String name)
Returns the enum constant of this type with the specified name.static ReportCodeKey[]
values()
Returns an array containing the constants of this enum type, in the order they are declared.
-
-
-
Enum Constant Detail
-
ALGORITHM_NAME
public static final ReportCodeKey ALGORITHM_NAME
-
CPU
public static final ReportCodeKey CPU
-
OS
public static final ReportCodeKey OS
-
COMPILER
public static final ReportCodeKey COMPILER
-
RUNTIME
public static final ReportCodeKey RUNTIME
-
VM_NAME
public static final ReportCodeKey VM_NAME
-
VM_VERSION
public static final ReportCodeKey VM_VERSION
-
ENV_HEAP
public static final ReportCodeKey ENV_HEAP
-
MAP_INFO
public static final ReportCodeKey MAP_INFO
-
THEORY_TIME_COMPLEXITY
public static final ReportCodeKey THEORY_TIME_COMPLEXITY
-
THEORY_SPACE_COMPLEXITY
public static final ReportCodeKey THEORY_SPACE_COMPLEXITY
-
IMPLEMENTATION_INFO
public static final ReportCodeKey IMPLEMENTATION_INFO
-
SPACE_USED
public static final ReportCodeKey SPACE_USED
-
STEPS_USED
public static final ReportCodeKey STEPS_USED
-
PROCESSED_MAP
public static final ReportCodeKey PROCESSED_MAP
-
PATH_WEIGHT
public static final ReportCodeKey PATH_WEIGHT
-
MAX_STEPS
public static final ReportCodeKey MAX_STEPS
-
TIME_USED
public static final ReportCodeKey TIME_USED
-
-
Method Detail
-
values
public static ReportCodeKey[] values()
Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:for (ReportCodeKey c : ReportCodeKey.values()) System.out.println(c);
- Returns:
- an array containing the constants of this enum type, in the order they are declared
-
valueOf
public static ReportCodeKey valueOf(java.lang.String name)
Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)- Parameters:
name
- the name of the enum constant to be returned.- Returns:
- the enum constant with the specified name
- Throws:
java.lang.IllegalArgumentException
- if this enum type has no constant with the specified namejava.lang.NullPointerException
- if the argument is null
-
getStringValue
public java.lang.String getStringValue()
- Returns:
- string value of the placeholder
-
-


Details Tutorial
Welcome to the fifth tutorial about Abundant Music!
This tutorial is about the "Details" tab in the "Song Settings" window.
Exploring Details
The "Details" tab gives you the most detailed control over the song. You can for example specify exactly what instruments to use for melody, bass, percussion and inner voices.
You can also create custom song structures and harmonic rythms, but that will be covered in later tutorials.
Now we are just going to modify the instruments and percussion parameters.


Cloud Vision V1 API - Class Google::Cloud::Vision::V1::TextAnnotation (v0.6.4)
Reference documentation and code samples for the Cloud Vision V1 API class Google::Cloud::Vision::V1::TextAnnotation.
TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#pages
def pages() -> ::Array<::Google::Cloud::Vision::V1::Page>
Returns
- (::Array<::Google::Cloud::Vision::V1::Page>) — List of pages detected by OCR.
#pages=
def pages=(value) -> ::Array<::Google::Cloud::Vision::V1::Page>
Parameter
- value (::Array<::Google::Cloud::Vision::V1::Page>) — List of pages detected by OCR.
Returns
- (::Array<::Google::Cloud::Vision::V1::Page>) — List of pages detected by OCR.
#text
def text() -> ::String
Returns
- (::String) — UTF-8 text detected on the pages.
#text=
def text=(value) -> ::String
Parameter
- value (::String) — UTF-8 text detected on the pages.
Returns
- (::String) — UTF-8 text detected on the pages.


Organizational Structure of Veteran's Affairs Offices
The organizational structure of each U.S. state for day-to-day operations varies with respect to veterans affairs. The most common structure is a cabinet-level Department of Veterans Affairs or an independent Department of Veterans Affairs Agency with direct links to the Governor’s office.
Eight states have a combined Military/Veterans Affairs Department, or place the Division of Veterans Affairs under the Military Department. Five states have rather unique methods of organizing their agencies dealing with veterans affairs. Delaware places their veterans affairs office within the Department of State; Massachusetts places their Veteran Service Office within the Department of Health and Services; Missouri places their Veterans Commission with the state Department of Safety; Rhode Island places their Veterans Affairs Office within the Department of Human Services; and South Carolina places the Division of Veterans Affairs within the Office of Executive Policy and Programs.
Five states have maintained old organizational structures of using boards/commissions as the overall deciding authority for determining policy of veterans affairs issues. Within the boards/commissions are separate staff that process veterans’ issues
Currently, the following structures exist with respect to how veterans affairs/veterans services offices are organized:
- With Executive Agency (31)
- Within or under Military Department (8)
- Combined with or under different departments other than the Military Department (6)
- Boards/Commissions of Veterans Affairs (5)
Organizational Structure of Emergency Management Offices
After viewing all individual states and U.S. territories as to how their respective Office of Emergency Management/Preparedness (OEM) is organized, one can draw the conclusion that no two states are precisely the same. However, the list below gives an approximation as to the general organization of how the various states and territories structure Emergency Management.
Several States have OEM organized under a Department of Public Safety. However, at least 7 of those states have Divisions of combined Homeland Security and Emergency Management (Colorado, Connecticut, Minnesota, Nevada, New Hampshire, North Carolina, Vermont, and West Virginia). Michigan has a combined Division of Emergency Management and Homeland Security organized under their state Department of State Police. Thus, the most dominant pattern or OEM organization is some combination of Homeland Security and Emergency Management. The second most dominant pattern is that the state OEM is organized under the state Adjutant General's Office.
- Office of the Governor, Direct Cabinet, or independent agency with direct ties to the Governor's Office (8)
- Military Department/Adjutant General (17)
- Combined Homeland Security or under Homeland Security (11)
- Public Safety/Protection/Security (15)
- State Police (1)
- Multi-tiered structure (1)


A quick way to create a ReactJS and Spring Boot app
Creating a fresh ReactJS and Spring Boot application involves a lot of configuration changes and testing. It is a repetitive process if you frequently make this type of application. Instead of repeating the same thing, let’s reuse the existing pre-configured application. We follow below three sections to create an end-to-end application.
Create a new application
Clone pre-configured ReactJS and Spring Boot application from here.
Rename this application to whatever name you want. In this case, I am renaming to todo-list
Optional step: There is no need to follow this if you are not planning to push your new project to GitHub. Remove the existing .git folder from the project because it’s better to re-initialize git with a new project. After deleting .git, execute the below command in the project folder.
Execute the below command to package and install the application.
Note that this command download’s NPM and Node locally and downloads the required npm packages. This is possible because of the ‘frontend-maven-plugin’ plugin, which we configured in pom.xml. ‘frontend-maven-plugin’ helps Maven-based applications run node and npm commands internally. You can change Node and NPM versions in the pom.xml
Run and test
Run Spring application; In the IDE, go to App.java and run it. Once the application is up, then go to the browser and hit URL http://localhost:8080/api/hello. If the application is running properly, then you will see the response.
Run ReactJS; In the terminal, go to
Notice that the ReactJS is making a call to the backend and showing the greeting message.
NPM will redirect all the HTTP requests coming from 3000 port to 8080 port. We did this configuration in package.json
This proxy is needed only in local environment because Spring and ReactJS run on different ports.
Note that ‘ui’ folder is generated based on create-a-new-react-app this is a standard folder structure ReactJS recommends.
Package the app for deployment
In the project folder, execute the below command to generate a final .jar file.
Because we used ‘frontend-maven-plugin’, this plugin will internally execute ‘npm install’ and ‘npm build’ and copy all generated static files into target/classes/public folder. We can see all these files in the final packaged jar file. You can run this jar file and access both UI and Spring at port 8080. To run this .jar execute the below command


Punktlektion opsættning af Flexicam CNC DK
Step by step guide Flexicam CNC ENG
How to Square and Indicate a Vise on Your CNC Mill.
How to set a work offset with an Indicator.
How to manually Pick Up a Hole with an Indicator.
Fusion 360 CAM Course.
Punktlektion Laser DK v3.0
Video Tutorial
NY! Punktlektion DK
Step by step guide.
Punktlektion Netfabb for Z450
3D scanning with Meshroom
Punktlektion Vinyl Cutting
With Roland BN20
How Do You Print From A 72 DPI Image?
Miter saw
Festool Router Table
Getting Started with the Festool Domino DF 500 Joiner


Welcome to Hvass Restaurant
The original Hvass, opened in 2015, is located in Oslo, Norway. Hidden on top of a highrise, the restaurant offers amazing views.
Hvass' menu showcases local food and lunch offers an ideal backdrop for any special occasions or business meetings.
Bar
It is our daily goal to serve our guests and our community, to be a welcoming space for people to connect and be present. As the unprecedented situation surrounding coronavirus evolves, it is clear that these are no longer practical goals. In order to keep our staff, guests, and the general public safe, effective immediately. This is an ever-changing set of circumstances, and we will share updates when they’re available. To stay up to date with any potential changes at our locations, please sign up for our newsletter or keep checking back. Thank you for your continued support and understanding.
Private events
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Addresse: Storgata Oslo
Telefonnummer: +47 123 45 678


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The Greatest Investment
Posted by Kyle on February 2nd, 2011
One of the greatest things I've learned about myself is that I really enjoy people. Not only getting to meet people, but getting to connect people also.
Continue Reading "The greatest investment" —›


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Gordon Sondland Complained Giuliani ‘F*cks Everything Up,’ Diplomat Testifies
Diplomat David Holmes testified to House impeachment investigators on Thursday that Ambassador Gordon Sondland was more than a little frustrated with Trump lawyer Rudy Giuliani as they carried out the pressure campaign against Ukraine.
In his opening statement, Holmes described how he came to learn about Giuliani’s “direct influence” on the foreign policy agenda in Ukraine that was being implemented by “the Three Amigos”: Sondland, Energy Secretary Rick Perry and then-Special Envoy Kurt Volker.
“In fact, at one point during a preliminary meeting of the inauguration delegation, someone wondered aloud about why Mr. Giuliani was so active in the media with respect to Ukraine,” Holmes said. “My recollection is that Ambassador Sondland stated, ‘Dammit Rudy. Every time Rudy gets involved he goes and f—s everything up.'”
On Wednesday, Sondland testified that he and the other two “Amigos” worked with Giuliani “at the express direction” of Trump.
“We did not want to work with Mr. Giuliani,” the ambassador said, though he added that he, Perry, and Volker “did not believe that his role was improper at the time.”
Watch Holmes below:


Sets a custom value for the InfluxDB 'project_name' tag key, that overrides the default, which is the job name.
Useful to easily group metrics for different jobs in multi branch pipeline jobs.


module Avar:sig
..end
Animated variables.
An Avar.t is a variable that evolves in time. It is updated at every frame (i.e. every iteration of the main loop). Bogue uses Avars for animations.
type 'a
t
typecallback =
unit -> unit
val create : ?duration:Time.t ->
?init:callback ->
?ending:callback ->
?finished:bool ->
?update:('a t -> float -> 'a) -> 'a -> 'a t
Generic Avar creation. If finished = true
, the var never gets further
updated, ie behaves like a normal variable. Otherwise, the update
parameter is compulsory.
update
: is a function such that update v s : 'a
should give the
value of the Avar v
at the time s
. The meaning of the time s
is
described in Avar.progress
.val apply : ('a -> 'b) -> 'a t -> 'b t
apply f v
creates a new Avar by composing with f; the old Avar v
is still active
val fromto : ?duration:int ->
?ending:callback -> int -> int -> int t
fromto x1 x2
creates a integer Avar.t with initial value x1
and, as
time elapses, moves continuously to x2
, with a final slowdown.
val fromto_unif : ?duration:int ->
?ending:callback -> int -> int -> int t
Similar to Avar.fromto
but with uniform speed (no slowdown).
val oscillate : ?duration:int -> ?frequency:float -> int -> int -> int t
oscillate amplitude x0
will oscillate with the given amplitude around
the initial value x0
val var : 'a -> 'a t
Create an Avar which behaves like a normal Var (no animation).
val get : 'a t -> 'a
Start the animation (if necessary) and compute the current value of the variable.
val progress : 'a t -> float
progress v
is a float in [0,1] giving the percentage of the animation
when the last v.value
was computed. In case of infinite animation, this
is just the elapsed Time (in ms).
type
direction =
| |
No |
| |
Left |
| |
Right |
| |
Top |
| |
Bottom |
| |
TopLeft |
| |
TopRight |
| |
BottomLeft |
| |
BottomRight |
| |
Random |


Bulk
Barcode Generator
Upload your barcodes in CSV format to generate up to 250
barcodes at a time. Column 1 should contain the scannable
barcode content. All other columns are optional parameters to
adjust each image.
For more information click here.
* Optional column


Method for the calculation of copy numbers and calling of copy number alterations. The algorithm uses coverage data from amplicon sequencing of a sample cohort as input. The method includes significance assessment, correction for multiple testing and does not depend on normal DNA controls. Budczies (2016 Mar 15) <doi:10.18632/oncotarget.7451>.
| Version: | 2.1.1 |
| Imports: | shiny |
| Published: | 2018-03-23 |
| Author: | Jan Budczies, Eva Romanovsky |
| Maintainer: | Jan Budczies <jan.budczies at charite.de> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | ioncopy results |
| Reference manual: | ioncopy.pdf |
| Package source: | ioncopy_2.1.1.tar.gz |
| Windows binaries: | r-devel: ioncopy_2.1.1.zip, r-release: ioncopy_2.1.1.zip, r-oldrel: ioncopy_2.1.1.zip |
| OS X binaries: | r-release: ioncopy_2.1.1.tgz, r-oldrel: ioncopy_2.1.1.tgz |
| Old sources: | ioncopy archive |
Please use the canonical form https://CRAN.R-project.org/package=ioncopy to link to this page.


Esplora la tana del bianconiglio
Introduzione ai concetti chiave per iniziare a comprendere questo fenomeno mondiale. Traduzione di articoli da varie fonti.
From TCP/IP to the Bitcoin White Paper
Timeline of history events related to bitcoin before it was released to the public along with related documentation.
Start taking care of your online privacy
Private and state-sponsored organizations are monitoring, recording and even selling information on your online activities.