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I
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ilit
y
lay
er
s
,
in
ter
clo
u
d
b
r
o
k
er
s
,
in
ter
clo
u
d
p
ee
r
in
g
,
an
d
p
o
licy
-
b
ased
o
r
ch
estra
tio
n
s
y
s
tem
s
to
ac
t
a
s
m
ed
iato
r
s
b
etwe
en
d
if
f
er
en
t
clo
u
d
v
en
d
o
r
in
f
r
astru
ctu
r
es
[
3
]
–
[
8
]
.
E
x
am
p
les
s
u
ch
as
Sk
y
Pil
o
t
h
av
e
p
r
o
v
e
n
th
at
th
e
id
ea
o
f
p
lacin
g
clo
u
d
co
m
p
u
tin
g
r
eso
u
r
ce
s
with
t
h
e
h
elp
o
f
in
ter
cl
o
u
d
b
r
o
k
er
s
ca
n
ab
s
tr
ac
t
awa
y
clo
u
d
h
eter
o
g
en
eity
f
o
r
b
o
th
b
atch
p
r
o
ce
s
s
in
g
an
d
ar
tific
ial
i
n
tellig
en
ce
-
b
ased
ap
p
licatio
n
s
[
3
]
–
[
5
]
.
T
h
e
ch
allen
g
e
th
is
r
esear
ch
ai
m
s
to
tack
le
is
th
at
alth
o
u
g
h
t
h
er
e
is
an
in
c
r
ea
s
in
g
n
u
m
b
er
o
f
s
tu
d
ies
ab
o
u
t
s
k
y
co
m
p
u
tin
g
,
th
e
li
ter
atu
r
e
co
n
tin
u
es
to
b
e
co
n
ce
p
tu
ally
f
r
ag
m
e
n
ted
.
Stu
d
i
es
o
n
ar
c
h
itectu
r
e
h
ig
h
lig
h
t
a
b
s
tr
ac
tin
g
an
d
b
r
o
k
er
in
g
,
wh
ile
o
r
c
h
estra
tio
n
s
tu
d
ies
ar
e
in
ter
ested
in
to
o
ls
lik
e
Ku
b
er
n
etes,
T
er
r
af
o
r
m
,
Air
f
l
o
w,
T
OSC
A,
an
d
OC
C
I
.
ar
tific
ial
in
tellig
en
ce
(
AI
)
a
n
d
m
ac
h
in
e
lear
n
in
g
(
ML
)
p
a
p
er
s
co
v
er
to
p
ics s
u
ch
as wo
r
k
lo
ad
p
lace
m
en
t,
wo
r
k
lo
a
d
p
r
e
d
ictio
n
,
an
d
o
p
tim
izatio
n
with
r
ein
f
o
r
ce
m
en
t le
ar
n
in
g
,
wh
ile
g
o
v
er
n
an
ce
s
tu
d
ies
ar
e
co
n
ce
r
n
ed
with
is
s
u
es
o
f
d
ata
s
o
v
e
r
eig
n
ty
,
ze
r
o
tr
u
s
t,
co
n
f
id
en
ti
al
co
m
p
u
tin
g
,
an
d
co
m
p
lian
ce
with
r
e
g
u
latio
n
s
[
6
]
–
[
1
6
]
.
T
h
er
ef
o
r
e,
th
e
o
b
jectiv
e
o
f
th
is
s
tu
d
y
is
to
p
er
f
o
r
m
a
s
y
s
tem
atic
r
ev
iew
o
f
th
e
liter
at
u
r
e
o
n
th
e
ev
o
lu
tio
n
o
f
th
e
s
h
if
t
f
r
o
m
m
u
lti
-
clo
u
d
to
s
k
y
co
m
p
u
tin
g
an
d
p
r
esen
t
th
e
f
in
d
in
g
s
th
r
o
u
g
h
a
r
o
ad
m
ap
.
T
h
e
r
esear
ch
q
u
esti
o
n
s
p
o
s
ed
ar
e
a
s
f
o
llo
ws:
R
Q1
: Wh
at
ar
ch
itectu
r
al
f
ea
tu
r
es e
n
ab
le
s
k
y
co
m
p
u
tin
g
b
ey
o
n
d
m
u
lti
-
clo
u
d
a
r
ch
itectu
r
e?
R
Q2
:
Ho
w
d
o
es
o
r
ch
estra
tio
n
an
d
in
ter
-
clo
u
d
b
r
o
k
er
in
g
co
n
t
r
ib
u
te
to
ac
h
iev
in
g
p
o
r
tab
ilit
y
an
d
p
o
licy
-
d
r
iv
e
n
m
an
ag
em
en
t?
R
Q3
: Wh
at
r
o
le
d
o
es AI
/ML
p
lay
in
s
k
y
c
o
m
p
u
tin
g
in
te
r
m
s
o
f
wo
r
k
lo
a
d
s
ch
ed
u
lin
g
an
d
o
p
tim
izatio
n
?
R
Q4
: Wh
at
g
o
v
er
n
an
ce
,
s
ec
u
r
ity
,
p
r
iv
ac
y
,
an
d
co
m
p
lian
ce
s
tr
ateg
ies ar
e
n
ee
d
ed
f
o
r
s
k
y
co
m
p
u
tin
g
?
T
h
e
u
n
iq
u
e
asp
ec
t
o
f
th
is
p
a
p
er
ca
n
b
e
co
n
s
id
er
e
d
th
r
ee
k
ey
co
n
tr
ib
u
tio
n
s
.
First,
it
s
u
g
g
ests
an
in
teg
r
ated
tax
o
n
o
m
y
,
wh
ich
will
allo
w
u
s
to
lin
k
ar
ch
itect
u
r
e,
o
r
ch
estra
tio
n
,
AI
/ML
,
a
n
d
g
o
v
er
n
an
ce
in
to
a
s
in
g
le
co
n
ce
p
t.
Seco
n
d
,
it
o
f
f
er
s
a
co
n
ce
p
tu
al
p
ath
f
r
o
m
te
ch
n
ical
to
o
ls
lik
e
co
m
p
atib
ilit
y
lay
er
in
g
,
b
r
o
k
er
s
,
ze
r
o
-
tr
u
s
t
s
ec
u
r
ity
co
n
tr
o
ls
,
s
e
lf
-
s
o
v
er
eig
n
id
e
n
titi
es,
co
n
f
id
en
tial
co
m
p
u
tin
g
,
an
d
ex
p
lain
ab
le
AI
s
ch
ed
u
lin
g
in
to
p
o
ten
tial
p
r
io
r
ities
in
f
u
tu
r
e
im
p
lem
en
tatio
n
s
.
T
h
ir
d
,
it
p
r
o
v
id
es
a
r
esear
ch
p
at
h
f
o
r
s
k
y
co
m
p
u
ti
n
g
th
at
is
m
o
r
e
s
p
ec
if
ic
th
an
ju
s
t
th
e
d
is
cu
s
s
io
n
o
f
o
p
p
o
r
tu
n
itie
s
an
d
in
clu
d
es
r
ep
r
o
d
u
cib
il
ity
,
ex
p
lain
ab
ilit
y
,
in
ter
o
p
er
a
b
ilit
y
s
tan
d
ar
d
izatio
n
,
en
er
g
y
co
n
s
id
er
atio
n
,
a
n
d
c
o
m
p
lian
ce
-
by
-
d
esig
n
ev
alu
ati
o
n
[
1
7
]
–
[
2
5
]
.
2.
M
E
T
H
O
DO
L
O
G
Y
2
.
1
.
Rev
iew
des
ig
n
T
h
e
s
y
s
tem
atic
r
ev
iew
f
o
llo
ws
th
e
s
y
s
tem
atic
li
ter
atu
r
e
r
ev
iew
(
SLR)
r
esear
ch
m
eth
o
d
,
g
u
id
ed
b
y
th
e
PR
I
SMA
2
0
2
0
f
r
am
ewo
r
k
[
1
7
]
,
[
1
8
]
.
T
h
e
m
eth
o
d
was c
h
o
s
en
s
in
ce
th
e
aim
is
n
o
t to
c
o
n
d
u
ct
a
n
em
p
ir
ical
test
o
f
a
ce
r
tain
alg
o
r
ith
m
,
b
u
t
to
s
y
s
tem
atica
lly
id
en
tify
,
ev
alu
ate,
c
o
m
p
ar
e
a
n
d
s
y
n
th
esize
ex
is
tin
g
k
n
o
wled
g
e
ab
o
u
t
s
k
y
co
m
p
u
tin
g
,
m
u
lti
-
clo
u
d
o
r
ch
e
s
tr
atio
n
,
ar
tific
ial
in
tellig
en
ce
-
b
ased
wo
r
k
lo
ad
o
p
tim
izatio
n
,
a
n
d
g
o
v
e
r
n
an
ce
.
T
h
e
p
r
o
to
c
o
l
d
e
v
elo
p
ed
th
e
s
o
u
r
ce
s
,
s
ea
r
ch
ter
m
s
,
in
clu
s
io
n
/ex
clu
s
io
n
cr
iter
ia,
f
ield
s
f
o
r
d
ata
e
x
tr
ac
tio
n
,
q
u
al
ity
cr
iter
ia,
an
d
s
y
n
th
esis
s
tr
at
eg
y
p
r
i
o
r
to
t
h
em
atic
an
aly
s
is
.
2
.
2
.
Da
t
a
s
o
urce
s
a
nd
s
ea
rc
h str
a
t
eg
y
T
h
e
f
iv
e
ac
a
d
em
ic
d
ata
b
ases
th
at
wer
e
ac
ce
s
s
ed
ar
e
AC
M
Dig
ital
L
ib
r
ar
y
,
I
E
E
E
Xp
lo
r
e,
Sp
r
in
g
er
L
in
k
,
Scien
ce
Dir
ec
t,
an
d
Sco
p
u
s
.
T
h
is
d
atab
ase
was
ch
o
s
en
as
it
p
r
o
v
id
es
in
d
ex
es
o
n
liter
atu
r
e
r
elate
d
to
co
m
p
u
te
r
en
g
in
ee
r
in
g
,
d
is
tr
ib
u
ted
s
y
s
tem
s
,
clo
u
d
co
m
p
u
tin
g
,
c
y
b
er
s
ec
u
r
ity
,
AI
,
an
d
s
o
f
twar
e
en
g
in
ee
r
in
g
.
T
h
e
s
ea
r
ch
es
s
p
a
n
f
r
o
m
J
an
u
ar
y
2
0
2
0
t
o
J
u
n
e
2
0
2
5
,
wh
er
e
b
y
o
n
ly
p
ee
r
-
r
ev
i
ewe
d
p
ap
e
r
s
d
u
r
in
g
th
is
tim
elin
e
wer
e
co
n
s
id
er
ed
as p
o
ten
tial a
r
ticles f
o
r
th
e
SL
R
co
r
p
u
s
.
T
h
e
s
ea
r
ch
k
ey
wo
r
d
s
u
s
ed
ar
e
b
ased
o
n
th
e
f
o
llo
win
g
ex
p
r
ess
io
n
:
(
"
s
k
y
co
m
p
u
tin
g
"
OR
"c
lo
u
d
o
f
clo
u
d
s
"
OR
"in
ter
clo
u
d
b
r
o
k
er
")
AND
(
"m
u
lti
-
clo
u
d
"
OR
"
h
y
b
r
id
cl
o
u
d
"
OR
"in
ter
clo
u
d
o
r
ch
estra
tio
n
"
)
A
ND
(
"AI
"
OR
"m
ac
h
in
e
lear
n
i
n
g
"
OR
"wo
r
k
lo
ad
s
ch
ed
u
lin
g
"
OR
"g
o
v
e
r
n
an
ce
"
OR
"d
ata
s
o
v
er
eig
n
ty
"
OR
"z
er
o
tr
u
s
t")
.
2
.
3
.
Scre
ening
a
nd
elig
ib
ility
T
h
er
e
was
a
to
tal
o
f
3
2
5
r
es
u
lts
r
etr
iev
ed
.
A
f
ter
ex
cl
u
d
in
g
d
u
p
licates
to
talin
g
4
5
,
th
e
r
e
wer
e
2
8
0
ar
ticles
lef
t
f
o
r
titl
e/ab
s
tr
ac
t
r
ev
iew.
T
h
o
s
e
n
o
t
p
ee
r
-
r
e
v
iewe
d
,
th
o
s
e
n
o
t
wr
itten
in
E
n
g
lis
h
,
th
o
s
e
o
u
ts
id
e
th
e
p
er
io
d
f
r
o
m
2
0
2
0
-
2
0
2
5
,
an
d
t
h
o
s
e
ir
r
elev
an
t to
th
e
to
p
ic
o
f
clo
u
d
/in
ter
clo
u
d
/m
u
lti
-
clo
u
d
c
o
m
p
u
tin
g
wer
e
also
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8
7
0
8
A
s
ystema
tic
r
ev
ie
w
a
n
d
co
n
c
ep
tu
a
l ro
a
d
m
a
p
fo
r
s
ky
co
mp
u
tin
g
:
A
I
-
e
n
a
b
le
d
…
(
A
b
d
u
lla
h
A
l
-
B
a
kri
)
2249
ex
clu
d
ed
.
T
h
o
s
e
co
n
ce
r
n
ed
s
o
lely
with
th
e
m
an
ag
em
e
n
t
o
f
s
in
g
le
clo
u
d
s
with
o
u
t
an
y
co
n
s
id
er
atio
n
s
o
f
in
ter
o
p
er
a
b
ilit
y
,
o
r
c
h
estra
tio
n
,
ar
tific
ial
in
tellig
en
ce
,
an
d
m
ac
h
in
e
lear
n
i
n
g
(
AI
/ML
)
,
a
n
d
g
o
v
e
r
n
an
ce
wer
e
also
ex
clu
d
ed
.
T
h
is
lef
t a
to
tal
o
f
6
0
ar
ticles f
o
r
f
u
ll
-
tex
t r
ev
i
ew.
T
h
o
s
e
th
at
d
id
n
o
t c
o
n
tr
ib
u
te
an
y
m
ea
n
in
g
f
u
l
m
eth
o
d
s
,
ar
c
h
itectu
r
e,
o
p
er
ati
o
n
s
,
an
d
g
o
v
e
r
n
an
ce
i
n
f
o
r
m
atio
n
wer
e
also
ex
cl
u
d
ed
.
2
.
4
.
Q
ua
lity
a
s
s
ess
m
ent
E
ac
h
elig
ib
le
s
tu
d
y
was
ass
ess
ed
u
s
in
g
f
iv
e
cr
iter
ia:
r
ele
v
an
ce
to
s
k
y
co
m
p
u
tin
g
o
r
m
u
lti
-
clo
u
d
tr
an
s
itio
n
;
clar
ity
o
f
r
esear
ch
o
b
jectiv
e;
tr
an
s
p
a
r
en
cy
o
f
m
et
h
o
d
o
r
s
y
s
tem
d
esig
n
;
s
tr
en
g
t
h
o
f
e
v
id
en
ce
,
s
u
ch
as
ev
alu
atio
n
,
p
r
o
to
ty
p
e,
ta
x
o
n
o
m
y
,
o
r
r
ep
r
o
d
u
ci
b
le
r
e
v
iew
p
r
o
t
o
co
l;
a
n
d
u
s
ef
u
ln
e
s
s
f
o
r
ar
c
h
itectu
r
e,
o
r
ch
estra
tio
n
,
AI
/ML
,
o
r
g
o
v
e
r
n
an
ce
s
y
n
th
esis
.
Stu
d
ies
r
ec
eiv
ed
a
q
u
alitativ
e
r
atin
g
o
f
h
i
g
h
,
m
ed
iu
m
,
o
r
lo
w.
L
o
w
-
q
u
ality
s
tu
d
ies
wer
e
u
s
ed
o
n
ly
f
o
r
co
n
tex
t
u
al
b
ac
k
g
r
o
u
n
d
an
d
wer
e
n
o
t
allo
wed
to
d
r
iv
e
co
r
e
f
i
n
d
in
g
s
.
T
h
is
q
u
ality
ass
ess
m
en
t
im
p
r
o
v
e
d
r
e
p
r
o
d
u
cib
ilit
y
a
n
d
h
elp
ed
a
v
o
id
tr
ea
tin
g
o
p
in
i
o
n
-
b
ased
claim
s
as
eq
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iv
alen
t to
e
v
alu
ated
s
y
s
te
m
s
o
r
s
y
s
tem
atic
ev
id
en
ce
.
2
.
5
.
Da
t
a
ex
t
r
a
ct
io
n a
nd
s
y
nthesis
T
h
e
s
tr
u
ctu
r
e
d
e
x
tr
ac
tio
n
p
r
o
ce
s
s
r
ec
o
r
d
e
d
b
ib
lio
g
r
a
p
h
ic
d
etails,
p
u
b
licatio
n
y
ea
r
,
p
u
r
p
o
s
e
o
f
r
esear
ch
,
clo
u
d
ar
c
h
itectu
r
e,
tech
n
o
lo
g
y
u
s
ed
,
m
eth
o
d
o
l
o
g
y
ad
o
p
ted
,
ev
al
u
atio
n
m
et
h
o
d
o
lo
g
y
,
b
en
ef
its
r
ea
lized
,
lim
itatio
n
s
,
a
n
d
ar
ea
s
f
o
r
f
u
r
t
h
er
i
n
v
esti
g
atio
n
.
E
v
i
d
en
ce
c
o
llected
f
r
o
m
th
ese
ar
t
icles
was
class
if
ied
in
to
f
o
u
r
ca
teg
o
r
ies:
ar
ch
itectu
r
al
b
asis
,
in
ter
clo
u
d
m
an
ag
e
m
en
t,
AI
/ML
in
teg
r
atio
n
,
an
d
s
ec
u
r
ity
,
p
r
iv
ac
y
,
an
d
co
m
p
lian
ce
.
Sy
n
th
esis
in
v
o
lv
e
d
a
n
ar
r
ativ
e
a
n
d
co
m
p
ar
ativ
e
an
aly
s
is
r
ath
er
th
an
s
tatis
t
ics
s
in
ce
th
e
ch
o
s
en
ar
ticles
u
tili
ze
d
d
if
f
e
r
en
t
m
eth
o
d
o
lo
g
ies,
s
u
ch
as
th
eo
r
etica
l
p
ap
er
s
,
s
u
r
v
ey
s
,
s
y
s
tem
p
r
o
to
ty
p
es,
s
tan
d
ar
d
izatio
n
,
r
eg
u
latio
n
,
a
n
d
s
ch
ed
u
lin
g
m
o
d
els
[
1
]
–
[
1
6
]
,
[
1
9
]
–
[
3
5
]
.
T
ab
le
1
p
r
esen
ts
s
u
m
m
ar
y
d
ata
o
n
s
tu
d
y
s
elec
tio
n
b
ased
o
n
PR
I
SMA.
T
ab
le
1
.
PR
I
SMA
-
in
f
o
r
m
e
d
s
tu
d
y
s
elec
tio
n
s
u
m
m
a
r
y
P
R
I
S
M
A
st
a
g
e
N
u
mb
e
r
D
e
c
i
s
i
o
n
r
u
l
e
I
d
e
n
t
i
f
i
c
a
t
i
o
n
3
2
5
S
t
u
d
i
e
s i
d
e
n
t
i
f
i
e
d
t
h
r
o
u
g
h
se
a
r
c
h
e
s
i
n
f
i
v
e
d
a
t
a
b
a
ses
w
i
t
h
s
p
e
c
i
f
i
c
s
k
y
c
o
m
p
u
t
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g
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mu
l
t
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c
l
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d
,
A
I
,
o
r
c
h
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st
r
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a
n
d
g
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k
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e
r
ms.
D
u
p
l
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c
a
t
e
r
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mo
v
a
l
4
5
r
e
m
o
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d
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d
e
n
t
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c
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l
t
i
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s
,
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O
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p
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a
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a
n
d
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r
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y
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t
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c
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l
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d
e
x
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d
s
t
u
d
i
e
s w
e
r
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e
l
i
mi
n
a
t
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d
.
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c
r
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n
i
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g
2
8
0
a
r
t
i
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s re
v
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;
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a
r
t
i
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d
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d
N
o
n
-
p
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d
a
r
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i
c
l
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s,
a
r
t
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l
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s w
i
t
h
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f
o
c
u
s
so
l
e
l
y
o
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s
i
n
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l
e
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c
l
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u
d
c
o
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p
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t
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n
g
,
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r
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e
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a
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t
a
r
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n
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a
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o
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2
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w
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9
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s r
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3.
RE
SU
L
T
S
T
h
e
last
s
et
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f
ev
id
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ce
illu
s
tr
ates
th
at
s
k
y
co
m
p
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tin
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is
an
i
n
teg
r
atio
n
o
f
ar
ch
itectu
r
e,
o
r
c
h
estra
tio
n
,
in
tellig
en
ce
,
an
d
g
o
v
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n
a
n
ce
.
Fig
u
r
e
1
s
u
m
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ar
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e
m
o
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if
ied
tax
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ested
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p
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elatio
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d
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f
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.
Fig
u
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e
1
.
Pro
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f
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r
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d
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s
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tax
o
n
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m
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p
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g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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I
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&
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4
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4.
DIS
CU
SS
I
O
N
4
.
1
.
Arc
hite
ct
ura
l f
o
un
da
t
io
ns
I
n
ar
ch
itectu
r
al
liter
atu
r
e,
s
k
y
co
m
p
u
tin
g
is
s
ee
n
as
an
ab
s
tr
ac
tio
n
o
f
th
e
f
r
ag
m
en
ted
clo
u
d
s
b
ased
o
n
p
r
in
cip
les
o
f
co
m
p
atib
ilit
y
.
I
n
r
ec
en
t
r
esear
ch
p
a
p
er
s
,
it
b
ec
o
m
es
clea
r
th
at
p
o
r
tab
ilit
y
ca
n
n
o
t
o
n
ly
b
e
ac
h
iev
ed
with
m
ig
r
atio
n
o
f
v
ir
tu
al
m
ac
h
in
es
(
VM
s
)
a
n
d
co
n
tain
er
s
,
b
u
t
also
with
co
n
s
is
ten
t
s
er
v
ice
d
escr
ip
tio
n
s
,
n
eg
o
tiab
le
p
o
lici
es,
co
m
p
atib
le
in
ter
f
ac
es,
a
n
d
b
r
o
k
er
s
[
1
]
–
[
7
]
.
W
ith
s
k
y
co
m
p
u
tin
g
,
th
e
au
th
o
r
s
b
u
ild
u
p
o
n
th
ese
in
s
ig
h
ts
to
claim
th
at
p
r
ac
tical
im
p
lem
en
tat
io
n
o
f
a
clo
u
d
-
of
-
clo
u
d
s
s
h
o
u
l
d
r
ely
o
n
t
h
e
u
s
e
o
f
in
ter
clo
u
d
b
r
o
k
er
s
an
d
c
o
m
p
atib
ilit
y
lay
er
s
b
ef
o
r
e
th
e
co
m
p
lete
s
tan
d
ar
d
izatio
n
o
f
th
e
p
r
o
v
i
d
er
s
o
cc
u
r
s
[
2
]
–
[
5
]
.
T
h
is
lead
s
to
a
d
if
f
er
en
t
ar
ch
itectu
r
al
f
o
cu
s
:
I
t
is
im
p
o
r
tan
t
n
o
t
to
o
v
er
c
o
m
e
th
e
d
if
f
er
en
ce
s
b
etwe
en
p
r
o
v
id
e
r
s
,
b
u
t
to
m
ed
iate
th
es
e
d
if
f
er
en
ce
s
u
s
in
g
p
r
o
g
r
am
m
ab
le
b
r
o
k
er
s
an
d
o
th
er
m
ea
n
s
.
W
o
r
k
lik
e
Sk
y
Pil
o
t
an
d
SKY
C
ONT
R
OL
ex
em
p
lify
th
is
d
ir
ec
tio
n
b
y
p
r
o
v
id
in
g
s
o
lu
tio
n
s
f
o
r
wo
r
k
lo
ad
p
lace
m
en
t
an
d
p
ar
ticip
atio
n
in
cl
o
u
d
s
r
e
g
ar
d
l
ess
o
f
th
e
p
r
o
v
id
er
s
in
v
o
lv
ed
[
3
]
–
[
5
]
.
No
n
eth
eless
,
it
h
as
to
b
e
n
o
te
d
th
at
th
e
cu
r
r
en
t state
o
f
k
n
o
wled
g
e
ab
o
u
t
s
k
y
co
m
p
u
tin
g
is
ch
ar
ac
ter
ized
b
y
a
ce
r
tain
im
m
atu
r
ity
.
4
.
2
.
I
nte
rc
lo
ud
o
rc
hes
t
ra
t
io
n
I
n
ter
clo
u
d
o
r
ch
estra
tio
n
is
th
e
ex
ec
u
tio
n
tier
th
at
tr
a
n
s
f
o
r
m
s
ar
ch
itectu
r
al
p
o
r
ta
b
ilit
y
i
n
to
ac
tu
al
d
ep
lo
y
m
e
n
t.
Or
ch
estra
tio
n
s
y
s
tem
s
f
ac
ilit
ate
s
er
v
ice
d
escr
ip
tio
n
s
,
in
f
r
astru
ctu
r
e
a
s
co
d
e,
wo
r
k
f
lo
w
au
to
m
atio
n
,
an
d
ab
s
tr
ac
tio
n
o
f
r
eso
u
r
ce
m
an
ag
em
e
n
t
[
6
]
–
[
8
]
,
[
1
9
]
–
[
2
3
]
.
Fro
m
th
e
s
u
r
v
e
y
e
d
liter
atu
r
e,
we
ca
n
s
ee
th
at
th
ese
tech
n
o
lo
g
ies
en
h
an
ce
r
ep
ea
tab
ilit
y
w
h
ile
m
in
im
izin
g
th
e
n
ee
d
f
o
r
h
u
m
an
in
ter
v
en
tio
n
;
h
o
wev
er
,
th
e
y
alo
n
e
ca
n
n
o
t
en
s
u
r
e
s
k
y
co
m
p
u
tin
g
.
Fo
r
an
ef
f
ec
tiv
e
s
k
y
co
m
p
u
tin
g
in
ter
clo
u
d
o
r
c
h
estra
tio
n
tier
,
o
n
e
n
ee
d
s
to
co
n
s
id
er
p
la
ce
m
en
t
o
f
wo
r
k
l
o
ad
s
,
o
p
tim
izatio
n
o
f
co
s
ts
an
d
laten
cies,
c
o
n
s
tr
ain
ts
o
n
wh
e
r
e
d
ata
s
h
o
u
ld
b
e
s
to
r
ed
,
p
o
licie
s
f
o
r
u
s
er
id
en
tity
an
d
p
er
m
i
s
s
io
n
s
,
en
er
g
y
g
o
als,
an
d
tr
ac
ea
b
ilit
y
o
f
ac
tio
n
s
with
in
th
e
s
y
s
tem
[
2
4
]
–
[
3
0
]
.
4
.
3
.
AI/
M
L
inte
g
ra
t
io
n
AI
/ML
p
lay
s
an
o
b
v
io
u
s
p
ar
t
in
s
k
y
co
m
p
u
tin
g
as
th
e
r
eso
u
r
ce
s
elec
tio
n
task
its
elf
i
s
a
d
y
n
am
ic
o
p
tim
izatio
n
p
r
o
b
lem
th
at
c
o
n
s
id
er
s
p
er
f
o
r
m
an
ce
,
co
s
t,
l
o
ca
tio
n
,
ca
r
b
o
n
im
p
ac
t,
t
r
u
s
t,
an
d
s
er
v
ice
-
lev
el
o
b
jectiv
es.
R
ec
en
t
in
v
esti
g
atio
n
s
in
to
m
ac
h
in
e
-
lear
n
in
g
-
d
r
iv
e
n
r
eso
u
r
ce
m
an
ag
e
m
en
t,
d
ee
p
-
lear
n
in
g
wo
r
k
lo
ad
s
ch
ed
u
lin
g
,
wo
r
k
lo
ad
p
r
ed
ictio
n
,
co
n
tain
er
o
r
c
h
estra
tio
n
,
an
d
r
ein
f
o
r
ce
m
en
t
-
lear
n
in
g
r
eso
u
r
ce
allo
ca
tio
n
d
em
o
n
s
tr
ate
th
at
r
e
s
o
u
r
ce
m
an
ag
e
m
en
t
s
y
s
tem
s
ca
n
lear
n
th
eir
p
lace
m
en
t
an
d
s
ch
ed
u
lin
g
p
o
licies
th
r
o
u
g
h
e
n
v
ir
o
n
m
en
tal
f
ee
d
b
a
ck
[
9
]
–
[
1
5
]
,
[
3
1
]
–
[
3
8
]
.
Fo
r
s
k
y
co
m
p
u
tin
g
,
th
e
im
p
o
r
tan
t
in
s
ig
h
t
h
er
e
is
th
at
o
f
AI
-
d
r
iv
en
o
r
ch
estra
tio
n
th
at
c
an
co
n
tin
u
ally
m
a
k
e
clo
u
d
s
elec
tio
n
s
,
r
eg
io
n
al
s
elec
tio
n
s
,
ac
ce
ler
ato
r
ch
o
ices,
an
d
s
to
r
a
g
e
p
lace
m
en
ts
b
ase
d
o
n
u
s
er
o
b
jectiv
es
an
d
p
o
licy
co
n
s
tr
ain
ts
.
H
o
wev
er
,
th
e
ev
id
en
ce
b
ase
is
in
co
m
p
lete.
Mo
s
t
AI
s
ch
ed
u
li
n
g
m
o
d
els
h
av
e
b
ee
n
s
tu
d
ied
o
n
ly
in
lim
ited
o
r
s
im
u
lated
en
v
ir
o
n
m
en
ts
,
an
d
ev
en
f
ewe
r
p
r
o
v
id
e
a
n
y
r
atio
n
ale
b
eh
in
d
wh
y
a
ce
r
tain
cl
o
u
d
o
r
r
eg
io
n
was
ch
o
s
en
.
Fo
r
wo
r
k
lo
a
d
s
th
at
r
eq
u
ir
e
r
e
g
u
latio
n
,
b
lack
-
b
o
x
s
elec
tio
n
p
r
o
ce
s
s
es
ar
e
u
n
d
esira
b
le.
Hen
ce
,
f
u
tu
r
e
AI
o
r
ch
estra
tio
n
m
u
s
t
in
co
r
p
o
r
ate
ex
p
lain
a
b
le
AI
,
u
n
ce
r
tain
ty
q
u
an
tific
atio
n
,
e
n
e
r
g
y
-
awa
r
e
s
ch
e
d
u
lin
g
,
ca
r
b
o
n
-
awa
r
e
p
lace
m
en
t,
an
d
g
o
v
er
n
a
n
ce
co
n
s
tr
ain
ts
[
3
5
]
–
[
4
1
]
.
4
.
4
.
Securit
y
,
priv
a
cy
,
a
nd
co
m
pli
a
nce
Secu
r
ity
an
d
co
m
p
lian
ce
ar
e
n
o
t
au
x
iliar
y
co
n
ce
r
n
s
i
n
s
k
y
co
m
p
u
tin
g
;
th
ey
ar
e
k
ey
co
n
s
t
r
ain
ts
b
u
ilt
in
to
its
d
esig
n
.
C
r
o
s
s
-
clo
u
d
a
p
p
licatio
n
s
m
ay
tr
an
s
p
o
r
t
d
at
a
ac
r
o
s
s
d
if
f
e
r
en
t
g
e
o
g
r
a
p
h
ies
an
d
leg
al
d
o
m
ain
s
;
h
en
ce
,
p
r
iv
a
cy
,
s
o
v
er
ei
g
n
ty
,
an
d
in
d
u
s
tr
y
-
s
p
ec
if
ic
p
o
licie
s
n
ee
d
to
b
e
co
n
s
id
er
ed
in
o
r
ch
estra
tio
n
[
1
6
]
,
[
3
9
]
–
[
4
5
]
.
I
n
th
is
s
en
s
e,
th
e
Z
er
o
T
r
u
s
t
ar
ch
itectu
r
e
f
r
a
m
ewo
r
k
is
ap
p
licab
le,
as
it
d
o
es
n
o
t
allo
w
an
y
ass
u
m
p
tio
n
s
ab
o
u
t
im
p
licit
tr
u
s
t
b
ased
o
n
a
lo
ca
tio
n
o
n
th
e
n
etwo
r
k
[
1
6
]
,
[
4
2
]
.
I
d
en
tity
f
ed
er
atio
n
tech
n
o
lo
g
ies,
s
elf
-
s
o
v
er
eig
n
id
en
tity
,
an
d
d
ec
en
tr
alize
d
id
en
tifie
r
s
(
I
Ds
)
ca
n
h
elp
to
h
an
d
le
cr
o
s
s
-
p
r
o
v
id
er
au
th
en
ticatio
n
an
d
au
th
o
r
izatio
n
,
w
h
er
ea
s
tech
n
o
lo
g
ies
lik
e
co
n
f
id
en
tial
co
m
p
u
tin
g
a
n
d
tr
u
s
ted
e
x
ec
u
tio
n
en
v
ir
o
n
m
en
ts
ca
n
p
r
o
v
id
e
h
ar
d
war
e
-
b
ased
s
ec
u
r
ity
o
f
d
ata
-
in
-
u
s
e
[
4
3
]
–
[
4
7
]
.
Priv
ac
y
-
en
a
b
lin
g
an
aly
tics
an
d
p
o
licy
-
o
r
ien
ted
g
o
v
er
n
an
ce
p
r
o
v
id
e
an
o
th
er
s
et
o
f
t
o
o
ls
f
o
r
c
o
n
tr
o
lled
a
n
aly
tics
[
4
4
]
–
[
5
0
]
.
I
t c
an
b
e
n
o
ted
th
at
all
o
f
th
ese
ar
ea
s
ar
e
d
is
cu
s
s
e
d
in
d
ep
en
d
en
tly
f
r
o
m
ea
ch
o
t
h
er
d
esp
ite
th
e
n
ec
ess
ity
f
o
r
th
eir
in
teg
r
atio
n
in
to
o
n
e
o
r
c
h
estra
to
r
p
o
licy
.
4
.
5
.
P
ra
ct
ica
l c
o
nte
x
t
a
nd
pil
o
t
i
m
plem
ent
a
t
io
ns
Sk
y
co
m
p
u
tin
g
im
p
lem
e
n
tatio
n
s
ar
e
n
ascen
t,
an
d
cu
r
r
e
n
t
ef
f
o
r
ts
r
ep
r
esen
t
p
a
r
tial
r
ea
lizatio
n
s
as
o
p
p
o
s
ed
to
f
u
lly
r
ea
lized
clo
u
d
-
of
-
cl
o
u
d
s
p
latf
o
r
m
s
.
E
x
am
p
les
o
f
cu
r
r
en
t
im
p
lem
e
n
tatio
n
s
in
clu
d
e
Sk
y
Pil
o
t
b
r
o
k
er
s
f
o
r
b
atch
an
d
AI
ap
p
l
icatio
n
s
,
v
en
d
o
r
ag
n
o
s
tic
m
a
r
k
etp
lace
s
lik
e
SKY
C
ONT
R
O
L
,
wo
r
k
f
lo
w
-
b
ased
ex
tr
ac
t
-
tr
an
s
f
o
r
m
-
lo
ad
(
E
T
L
)
o
r
ch
estra
tio
n
s
v
ia
Ap
ac
h
e
Air
f
lo
w
an
d
T
er
r
a
f
o
r
m
,
a
n
d
s
ec
u
r
ity
p
o
licy
f
r
am
ewo
r
k
s
th
at
in
co
r
p
o
r
ate
ze
r
o
tr
u
s
t,
f
ed
er
ated
id
en
titi
es,
co
n
f
id
en
tial
co
m
p
u
tin
g
,
an
d
s
elf
-
s
o
v
er
eig
n
id
en
tity
[
3
]
–
[
5
]
,
[
8
]
,
[
1
0
]
,
[
1
6
]
,
[
4
2
]
–
[
4
7
]
.
No
t
o
n
ly
d
o
th
ese
im
p
lem
en
tatio
n
s
s
h
o
w
th
e
tech
n
ical
v
iab
ilit
y
o
f
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8
7
0
8
A
s
ystema
tic
r
ev
ie
w
a
n
d
co
n
c
ep
tu
a
l ro
a
d
m
a
p
fo
r
s
ky
co
mp
u
tin
g
:
A
I
-
e
n
a
b
le
d
…
(
A
b
d
u
lla
h
A
l
-
B
a
kri
)
2251
s
k
y
co
m
p
u
tin
g
,
b
u
t
th
ey
also
in
d
icate
th
at
th
e
ad
o
p
tio
n
o
f
th
e
ar
ch
itectu
r
e
will
b
e
g
r
ad
u
al.
A
f
ea
s
ib
l
e
ap
p
r
o
ac
h
to
war
d
s
r
ea
lizin
g
th
e
v
is
io
n
in
v
o
lv
es
d
ef
in
in
g
p
o
r
tab
le
wo
r
k
lo
ad
s
p
ec
if
icatio
n
s
,
p
lacin
g
wo
r
k
lo
a
d
s
th
r
o
u
g
h
b
r
o
k
e
r
s
,
an
d
f
in
ally
im
p
lem
en
tin
g
p
o
licies
th
at
g
u
id
e
id
en
tity
m
an
a
g
em
en
t,
c
o
s
ts
,
d
ata
lo
ca
lity
,
en
er
g
y
u
s
ag
e,
an
d
co
m
p
lian
ce
r
eq
u
ir
em
e
n
ts
.
4
.
6
.
Co
ncept
ua
l r
o
a
dm
a
p
T
h
is
r
o
ad
m
ap
c
o
n
s
is
ts
o
f
f
o
u
r
p
h
ases
.
Ph
ase
1
in
v
o
lv
es
t
h
e
s
tan
d
ar
d
izatio
n
o
f
wo
r
k
l
o
ad
a
n
d
s
er
v
ice
s
p
ec
if
icatio
n
s
b
y
u
s
in
g
T
O
SC
A/O
C
C
I
-
s
ty
le
ab
s
tr
ac
tio
n
s
,
in
f
r
astru
ctu
r
e
-
as
-
co
d
e,
an
d
co
n
tain
er
-
n
ativ
e
d
ep
lo
y
m
e
n
ts
.
Ph
ase
2
in
v
o
lv
e
s
b
r
o
k
er
e
d
p
lace
m
e
n
t
in
wh
ic
h
in
ter
clo
u
d
b
r
o
k
er
s
tr
a
n
s
late
u
s
er
in
ten
tio
n
s
in
to
p
r
o
v
id
e
r
-
s
p
ec
if
ic
ac
tio
n
s
.
Ph
ase
3
in
v
o
lv
es
AI
-
ass
is
ted
o
p
ti
m
izatio
n
th
r
o
u
g
h
lear
n
in
g
-
b
as
ed
alg
o
r
ith
m
s
u
s
ed
to
s
elec
t
p
r
o
v
id
er
s
,
r
e
g
io
n
s
,
a
n
d
r
eso
u
r
ce
s
s
u
b
ject
to
co
s
ts
,
p
er
f
o
r
m
an
ce
,
e
n
er
g
y
,
an
d
SLAs.
Fin
ally
,
p
h
ase
4
in
v
o
lv
es
g
o
v
er
n
an
ce
b
y
d
es
ig
n
,
wh
e
r
ein
ze
r
o
tr
u
s
t,
id
e
n
tity
f
ed
e
r
atio
n
,
co
n
f
id
en
tial
co
m
p
u
tin
g
,
d
ata
s
o
v
er
eig
n
ty
laws,
an
d
au
d
it
p
o
licies
ar
e
b
u
ilt
in
to
th
e
o
r
ch
estra
tio
n
f
r
am
ewo
r
k
its
elf
.
W
ith
th
is
r
o
ad
m
ap
in
m
in
d
,
it
b
ec
o
m
es
clea
r
wh
at
th
e
n
o
v
elty
in
th
is
m
an
u
s
cr
ip
t
lies
in
–
s
k
y
co
m
p
u
tin
g
m
u
s
t
b
e
co
n
s
id
er
ed
as
a
s
o
cio
-
tech
n
ical
s
y
s
tem
.
4
.
7
.
I
m
pli
ca
t
io
ns
f
o
r
f
uture
re
s
ea
rc
h
T
h
r
ee
r
esear
ch
av
en
u
es
s
h
o
u
l
d
b
e
p
r
io
r
itized
in
f
u
tu
r
e
wo
r
k
.
Firstl
y
,
test
b
ed
s
in
v
o
lv
in
g
m
u
ltip
le
p
r
o
v
id
e
r
s
m
u
s
t
b
e
d
ev
elo
p
e
d
to
f
ac
ilit
ate
co
m
p
ar
is
o
n
o
f
d
ec
is
io
n
s
b
ased
o
n
co
s
t,
laten
cy
,
s
ec
u
r
ity
,
co
m
p
lian
ce
,
a
n
d
en
e
r
g
y
.
Seco
n
d
ly
,
th
e
p
er
f
o
r
m
a
n
ce
o
f
ex
p
l
ain
ab
le
an
d
s
u
s
tain
ab
le
AI
s
ch
ed
u
lin
g
alg
o
r
ith
m
s
s
h
o
u
ld
b
e
co
m
p
a
r
ed
to
tr
an
s
p
ar
en
t
b
en
c
h
m
ar
k
s
r
ath
er
th
an
b
lack
b
o
x
o
p
tim
izatio
n
s
.
Fin
ally
,
m
o
d
els
o
f
g
o
v
er
n
an
ce
m
u
s
t
in
co
r
p
o
r
ate
r
eg
u
lato
r
y
p
o
licies
to
en
s
u
r
e
d
ata
s
o
v
er
eig
n
ty
a
n
d
p
r
iv
ac
y
co
n
s
id
er
atio
n
s
ar
e
m
et
p
r
io
r
to
m
i
g
r
atio
n
.
T
h
ese
av
en
u
es
d
ir
ec
tly
ad
d
r
ess
o
r
ig
in
ality
an
d
s
ig
n
if
ican
ce
b
y
estab
lis
h
in
g
r
esear
ch
q
u
esti
o
n
s
r
ath
er
th
a
n
m
er
ely
r
ev
iewin
g
cu
r
r
en
t liter
atu
r
e.
5.
CO
NCLU
SI
O
N
T
h
is
s
y
s
tem
atic
l
iter
atu
r
e
r
ev
iew
in
v
esti
g
ates
th
e
ev
o
lu
tio
n
o
f
clo
u
d
co
m
p
u
tin
g
f
r
o
m
m
u
l
ti
-
clo
u
d
to
s
k
y
co
m
p
u
tin
g
b
y
r
ev
iewin
g
3
5
p
ee
r
-
r
ev
iewe
d
ar
ticles
th
at
h
av
e
b
ee
n
ca
r
ef
u
lly
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h
o
s
en
f
r
o
m
a
p
o
o
l
o
f
3
2
5
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ticles
p
u
b
lis
h
ed
f
r
o
m
J
an
u
ar
y
2
0
2
0
to
J
u
n
e
2
0
2
5
.
T
h
e
u
p
d
ated
m
an
u
s
cr
ip
t
m
ak
es
it
clea
r
th
at
th
e
p
r
o
b
lem
ad
d
r
ess
ed
b
y
s
k
y
co
m
p
u
tin
g
ex
is
ts
in
th
e
r
ea
l
wo
r
ld
s
in
ce
,
d
esp
ite
b
ein
g
m
o
r
e
f
lex
i
b
le
th
an
s
in
g
le
clo
u
d
s
,
m
u
lti
-
clo
u
d
s
y
s
tem
s
s
till
s
u
f
f
er
f
r
o
m
is
s
u
es
lik
e
API
in
co
n
s
i
s
ten
cy
,
d
is
jo
in
ted
o
r
ch
estra
tio
n
m
ec
h
an
is
m
s
,
an
d
u
n
m
et
leg
al
r
eq
u
ir
em
e
n
ts
d
u
e
to
cr
o
s
s
-
ju
r
is
d
ictio
n
al
co
n
f
licts
.
T
h
is
p
ap
er
p
r
o
v
id
es
an
in
teg
r
ated
tax
o
n
o
m
y
o
f
r
esear
ch
g
ap
s
a
n
d
a
r
o
a
d
m
ap
f
o
r
ar
c
h
itectu
r
al
d
esig
n
,
in
ter
clo
u
d
o
r
ch
estra
tio
n
,
AI
an
d
ML
in
teg
r
atio
n
,
an
d
g
o
v
er
n
an
ce
b
y
d
esig
n
f
o
r
s
k
y
co
m
p
u
tin
g
.
Ou
r
m
ain
r
e
s
u
lts
in
clu
d
e
th
e
b
en
e
f
its
o
f
u
s
in
g
b
r
o
k
er
s
an
d
co
m
p
atib
le
f
r
a
m
ewo
r
k
s
f
o
r
w
o
r
k
lo
ad
p
o
r
tab
ilit
y
,
p
o
licies
a
n
d
o
r
c
h
estra
tio
n
f
o
r
h
a
r
m
o
n
iz
ed
d
ep
lo
y
m
en
t
a
n
d
co
m
p
lian
ce
e
n
f
o
r
ce
m
en
t,
th
e
u
s
e
o
f
AI
a
n
d
ML
f
o
r
d
y
n
am
i
c
s
ch
ed
u
lin
g
an
d
c
o
s
t
-
p
er
f
o
r
m
an
ce
o
p
tim
izatio
n
,
an
d
th
e
r
o
le
o
f
ze
r
o
tr
u
s
t,
f
ed
er
ated
id
en
tity
,
co
n
f
i
d
en
tial
co
m
p
u
tin
g
,
an
d
p
r
iv
ac
y
-
by
-
d
esig
n
ap
p
r
o
ac
h
es
in
cr
ea
tin
g
tr
u
s
two
r
th
y
cl
o
u
d
s
.
T
h
e
f
u
tu
r
e
im
p
ac
t
o
f
o
u
r
co
n
tr
ib
u
tio
n
s
will
b
e
in
cr
e
atin
g
m
o
r
e
v
e
n
d
o
r
-
in
d
ep
en
d
en
t,
ex
p
lain
a
b
le,
en
e
r
g
y
-
awa
r
e,
an
d
leg
ally
co
m
p
l
ian
t
s
k
y
co
m
p
u
tin
g
en
v
i
r
o
n
m
en
ts
f
o
r
in
tellig
en
t
d
is
tr
ib
u
ted
s
er
v
ices.
ACK
NO
WL
E
DG
M
E
N
T
S
Ack
n
o
wled
g
m
e
n
t
is
ex
ten
d
ed
to
th
e
ed
ito
r
an
d
th
e
an
o
n
y
m
o
u
s
r
ef
er
ee
s
f
o
r
th
eir
v
alu
a
b
le
f
ee
d
b
ac
k
th
at
en
h
an
ce
d
th
e
clar
ity
,
m
et
h
o
d
o
lo
g
y
,
n
o
v
elt
y
,
p
r
ac
tical
a
p
p
licab
ilit
y
,
an
d
o
v
er
all
q
u
alit
y
o
f
th
e
p
ap
e
r
.
F
UNDING
I
NF
O
R
M
A
T
I
O
N
T
h
is
s
tu
d
y
h
as
b
ee
n
ca
r
r
ied
o
u
t
with
o
u
t
an
y
s
p
ec
if
ic
f
in
a
n
c
ial
s
u
p
p
o
r
t
f
r
o
m
a
n
y
p
u
b
lic,
p
r
iv
ate,
an
d
non
-
p
r
o
f
it
o
r
g
an
izatio
n
s
.
AUTHO
R
CO
NT
RI
B
UT
I
O
NS ST
A
T
E
M
E
N
T
T
h
is
jo
u
r
n
al
u
s
es
th
e
C
o
n
tr
ib
u
to
r
R
o
les
T
ax
o
n
o
m
y
(
C
R
ed
iT)
to
r
ec
o
g
n
ize
in
d
iv
id
u
al
au
th
o
r
co
n
tr
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u
tio
n
s
,
r
ed
u
ce
au
th
o
r
s
h
ip
d
is
p
u
tes,
an
d
f
ac
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ate
co
llab
o
r
atio
n
.
Na
m
e
o
f
Aut
ho
r
C
M
So
Va
Fo
I
R
D
O
E
Vi
Su
P
Fu
Ab
d
u
llah
Alb
ak
r
i
✓
✓
✓
✓
✓
✓
✓
✓
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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RE
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E
S
[
1
]
K
.
K
.
V
o
r
u
g
a
n
t
i
,
“
O
r
c
h
e
st
r
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g
mu
l
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,
”
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o
u
r
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a
l
o
f
T
e
c
h
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y
a
n
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y
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s
,
v
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l
.
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o
.
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p
.
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4
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o
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t
s.
1
8
1
0
.
[
2
]
I
.
S
t
o
i
c
a
a
n
d
S
.
S
h
e
n
k
e
r
,
“
F
r
o
m
c
l
o
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d
c
o
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p
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t
o
sk
y
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o
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p
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t
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,
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o
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m
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c
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M
,
v
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l
.
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o
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o
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3
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.
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4
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.
[
3
]
Z.
Y
a
n
g
e
t
a
l
.
,
“
S
k
y
P
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l
o
t
:
A
n
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n
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b
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f
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p
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,
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n
P
ro
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.
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h
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)
,
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3
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[
4
]
Z.
W
u
,
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h
.
D
.
d
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ss
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.
[
5
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H
.
N
.
C
o
c
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s,
C
.
B
a
u
n
,
a
n
d
M
.
K
a
p
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s
,
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T
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v
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f
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d
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,
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Pr
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ER)
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p
p
.
2
1
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5
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o
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2
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0
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3
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5
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.
[
6
]
S
.
C
h
a
l
l
i
t
a
,
F
.
K
o
r
t
e
,
J.
Er
b
e
l
,
F
.
Za
l
i
l
a
,
J
.
G
r
a
b
o
w
sk
i
,
a
n
d
P
.
M
e
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l
e
,
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M
o
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l
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b
a
s
e
d
c
l
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d
r
e
s
o
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r
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e
ma
n
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g
e
m
e
n
t
w
i
t
h
TO
S
C
A
a
n
d
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C
C
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,
”
a
rXi
v
:
2
0
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