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20
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d
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Ad
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tag
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d
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s
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eq
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[
1
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.
T
h
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attac
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d
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d
to
b
r
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of
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Kn
o
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attac
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in
clu
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r
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witch
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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I
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C
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,
Vo
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16
,
No
.
5
,
Octo
b
e
r
20
26
:
2
7
9
5
-
2
8
0
5
2796
s
tr
u
ctu
r
es
,
an
d
in
cr
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m
en
tal
to
p
ic
escalatio
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[
2
]
,
[
3
]
.
I
f
d
r
if
t
is
n
o
t
d
etec
ted
,
a
c
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s
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a
h
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m
tr
an
s
ac
tio
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s
ex
ce
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d
in
g
p
er
m
itted
lim
its
[
4
]
.
T
ea
m
s
o
f
L
L
M
ag
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n
ts
h
av
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d
em
o
n
s
tr
ated
a
u
to
n
o
m
o
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s
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r
o
-
d
ay
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x
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lo
itatio
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,
lead
in
g
to
s
tr
u
ctu
r
al
en
f
o
r
ce
m
en
t
[
5
]
.
T
h
e
s
tan
d
ar
d
p
r
ac
tice
is
to
e
m
b
ed
th
e
a
g
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t’
s
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d
d
is
allo
wed
b
eh
av
io
r
s
with
in
th
e
s
y
s
tem
p
r
o
m
p
t,
a
p
r
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m
p
t
co
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r
ac
t,
an
d
tr
u
s
t
th
e
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o
d
el
to
s
elf
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p
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lice
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h
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ap
p
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ac
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s
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f
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th
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th
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attac
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T
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allen
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tp
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ar
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[
6
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[
7
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R
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k
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m
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ca
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it
[
8
]
.
T
h
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if
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.
R
MI
C
Gu
ar
d
r
elo
ca
tes
en
f
o
r
ce
m
en
t
f
o
r
m
th
e
m
o
d
el
’
s
co
n
tex
t
to
a
s
ep
ar
ate
r
u
n
tim
e
p
r
o
ce
s
s
:
a
m
id
d
le
war
e
en
g
in
e
th
at
in
te
r
ce
p
ts
ev
er
y
p
lan
n
e
d
to
o
l
ca
ll,
ch
ec
k
s
it
a
g
ain
s
t
a
tam
p
er
ev
id
e
n
t
cr
y
p
to
g
r
ap
h
ic
co
n
tr
ac
t,
an
d
is
s
u
es
a
b
in
d
in
g
d
ec
is
io
n
b
ef
o
r
e
an
y
ac
tio
n
r
ea
ch
es
th
e
ex
ec
u
tio
n
lay
er
.
T
h
e
m
o
d
el
n
ev
e
r
s
ee
s
e
n
f
o
r
ce
m
e
n
t lo
g
ic.
I
ts
co
n
tex
t
ca
r
r
ies o
n
ly
a
m
in
im
al
r
o
le
lab
el.
I
f
it
i
s
n
o
t in
th
e
m
o
d
el
in
p
u
t,
p
r
o
m
p
t m
a
n
ip
u
la
tio
n
ca
n
no
t tu
r
n
o
f
f
a
s
af
eg
u
ar
d
.
T
h
is
wo
r
k
em
p
ir
ically
ask
s
wh
eth
er
th
is
s
tr
u
ctu
r
al
d
if
f
er
en
ce
–
en
f
o
r
ce
m
en
t
p
o
s
itio
n
,
r
ath
er
th
an
m
o
d
el
ca
p
ab
ilit
y
or
p
r
o
m
p
t
q
u
ality
–
d
eter
m
in
es
th
e
d
eg
r
ee
to
wh
ich
id
en
tity
d
r
if
t
is
s
u
p
p
r
ess
ed
.
W
e
co
n
d
u
cted
a
f
o
u
r
-
c
o
n
d
itio
n
e
x
p
er
im
e
n
t
o
v
er
f
o
u
r
L
L
Ms,
f
o
u
r
ag
en
t
r
o
les,
an
d
a
co
r
p
u
s
o
f
ad
v
er
s
ar
ial
an
d
leg
itima
te
p
r
o
m
p
ts
,
f
o
r
a
to
tal
o
f
5
,
2
1
2
API
ca
lls
.
T
h
e
r
em
ain
d
er
o
f
th
is
p
ap
er
d
is
cu
s
s
es
o
u
r
s
y
s
tem
d
esig
n
,
ex
p
er
im
en
tal
s
etu
p
a
n
d
r
esu
lts
,
an
d
s
itu
ates th
em
with
in
th
e
b
r
o
ad
e
r
liter
atu
r
e
o
f
ag
en
tic
s
a
f
ety
.
2.
RE
L
AT
E
D
WO
RK
2
.
1
.
P
ro
m
pt
inje
ct
io
n
a
nd
a
dv
er
s
a
ria
l
ma
n
i
p
u
l
a
t
i
o
n
Per
ez
an
d
R
ib
eir
o
[
2
]
s
h
o
wed
th
at
a
s
in
g
le
ad
v
er
s
ar
ial
u
s
er
tu
r
n
ca
n
s
ilen
tly
o
v
er
w
r
ite
p
r
i
o
r
s
y
s
tem
in
s
tr
u
ctio
n
.
L
iu
et
a
l.
[
3
]
ex
t
en
d
ed
th
is
to
to
o
l
au
g
m
en
ted
s
ettin
g
s
an
d
f
o
u
n
d
a
n
am
p
lifi
ca
tio
n
o
f
r
is
k
wh
en
th
e
m
o
d
el
tak
es
co
n
tr
o
l
o
f
r
ea
l
-
wo
r
ld
ac
tio
n
s
.
I
n
d
ir
ec
t
in
jecti
o
n
v
ia
to
o
l
o
u
tp
u
t
p
r
o
d
u
ce
s
a
v
ec
to
r
th
at
p
r
o
m
p
t
co
n
tr
ac
ts
ca
n
n
o
t
h
an
d
le,
b
ec
au
s
e
th
e
m
alicio
u
s
co
n
ten
t
n
ev
er
tr
av
e
r
s
es
th
e
u
s
er
tu
r
n
at
all,
as
s
h
o
wn
b
y
Gr
esh
ak
e
et
a
l.
[
9
]
.
R
MI
C
Gu
ar
d
is
in
s
p
ir
ed
b
y
th
is
lin
e
o
f
wo
r
k
:
r
em
o
v
i
n
g
th
e
attac
k
s
u
r
f
ac
e
th
at
th
ese
p
ap
er
s
ch
ar
ac
ter
ize,
by
p
u
ttin
g
en
f
o
r
ce
m
en
t
o
u
ts
id
e
th
e
m
o
d
el’
s
r
ec
ep
tiv
e
f
ield
.
Me
th
o
d
s
lik
e
Au
to
DAN
can
g
en
er
ate
s
tealth
y
jailb
r
ea
k
p
r
o
m
p
ts
th
at
ev
ad
e
alig
n
m
e
n
t
tr
ain
in
g
[
1
0
]
.
I
n
jecA
g
e
n
t
b
en
ch
m
a
r
k
s
to
o
l
-
in
teg
r
ated
ag
en
ts
f
o
r
i
n
d
ir
ec
t
i
n
jectio
n
s
in
p
ar
ticu
lar
[
1
1
]
.
T
o
o
lEm
u
s
im
u
lates
to
o
l
ex
ec
u
t
io
n
to
ex
p
o
s
e
r
is
k
s
b
ef
o
r
e
d
e
p
lo
y
m
e
n
t
[
1
2
]
.
Ma
n
y
-
s
h
o
t
jailb
r
ea
k
in
g
s
h
o
ws
th
a
t
alig
n
m
en
t
f
ailu
r
es
s
ca
le
with
th
e
len
g
th
o
f
th
e
co
n
tex
t
[
1
3
]
.”
2
.
2
.
Alig
nm
ent
ba
s
ed
s
a
f
e
t
y
B
eh
av
io
r
al
co
n
s
tr
ain
ts
ar
e
en
c
o
d
ed
in
m
o
d
el
weig
h
ts
at
tr
ai
n
in
g
tim
e
th
r
o
u
g
h
c
o
n
s
titu
tio
n
al
AI
[
1
4
]
an
d
in
s
tr
u
ctio
n
f
o
llo
win
g
v
ia
r
ein
f
o
r
ce
m
e
n
t
lear
n
in
g
f
r
o
m
h
u
m
an
f
ee
d
b
ac
k
(
R
L
HF)
[
1
5
]
.
T
h
ese
tech
n
i
q
u
es
r
aise
th
e
b
ar
ag
ain
s
t
ca
s
u
al
m
is
u
s
e
but
ca
n
n
o
t
o
f
f
er
r
o
le
s
p
ec
if
ic
p
er
d
ep
lo
y
m
e
n
ts
g
u
a
r
an
tees.
A
g
lo
b
ally
alig
n
ed
m
o
d
el
wo
u
ld
ex
h
i
b
it
th
e
s
am
e
alig
n
m
en
t
p
r
o
p
er
tie
s
r
eg
ar
d
less
o
f
th
e
ag
e
n
t’
s
r
o
le;
it
wo
u
ld
n
o
t
b
e
s
p
ec
ialized
to
o
n
ly
ac
t
as
a
f
in
an
cial
tr
an
s
f
er
ag
en
t.
I
n
th
e
s
am
e
v
ein
,
R
MI
C
Gu
ar
d
is
a
p
p
li
ed
at
i
n
f
er
en
ce
tim
e
an
d
en
f
o
r
ce
s
p
er
-
r
o
le
co
n
s
tr
ain
ts
with
o
u
t
alter
in
g
th
e
u
n
d
er
ly
in
g
m
o
d
el.
Hen
ce
,
R
MI
C
Gu
ar
d
is
co
m
p
lem
en
tar
y
r
ath
e
r
th
an
c
o
m
p
etitiv
e
with
weig
h
t
-
lev
el
ap
p
r
o
ac
h
es.
2
.
3
.
Se
m
a
ntic
mo
n
i
t
o
r
i
n
g
Sen
ten
ce
B
E
R
T
[
1
6
]
allo
ws
m
ea
s
u
r
in
g
s
em
an
tic
s
im
ilar
ity
at
s
en
ten
ce
g
r
an
u
lar
ity
.
Sem
an
tic
an
o
m
aly
s
ig
n
als
ar
e
also
ce
n
tr
al
to
r
u
n
tim
e
m
o
n
ito
r
in
g
in
r
el
ated
f
ield
s
.
T
h
is
is
a
co
m
p
le
m
en
tar
y
a
p
p
r
o
ac
h
to
th
e
em
b
ed
d
in
g
-
b
ased
I
DS
s
ig
n
als
lev
er
ag
ed
in
R
MI
C
Gu
ar
d
.
Deb
en
ed
etti
et
a
l.
[
8
]
s
h
o
w
ed
th
e
v
u
ln
er
a
b
ilit
y
o
f
alig
n
ed
m
o
d
els
to
ad
v
er
s
ar
i
al
in
p
u
ts
.
I
t
also
s
h
ar
es
a
s
im
i
lar
s
tr
u
ctu
r
al
in
s
ig
h
t
th
at
th
e
ad
v
er
s
ar
ial
b
eh
av
i
o
r
r
eq
u
ir
es
a
g
en
er
ato
r
-
ev
al
u
ato
r
s
ep
ar
atio
n
th
at
ec
h
o
es
th
e
d
u
al
-
p
ass
d
esig
n
of
R
MI
C
Gu
ar
d
.
T
h
e
I
DS
co
m
p
o
n
en
t
of
R
MI
C
Gu
ar
d
e
x
ten
d
s
th
e
s
en
ten
ce
tr
a
n
s
f
o
r
m
er
tr
ad
itio
n
b
y
c
o
m
b
in
in
g
s
ev
en
in
d
ep
en
d
en
tly
co
m
p
u
ted
s
ig
n
als,
ea
ch
o
f
wh
ich
can
be
a
u
d
ited
an
d
ca
lib
r
a
ted
s
ep
ar
ately
.
An
attac
k
er
h
a
v
in
g
k
n
o
wled
g
e
of
th
e
weig
h
ts
co
u
ld
r
ev
er
s
e
en
g
in
ee
r
a
s
in
g
le
b
len
d
ed
s
co
r
e;
th
e
s
ev
en
in
d
ep
en
d
e
n
tly
g
ated
s
ig
n
als
d
o
n
o
t
h
av
e
th
is
v
u
ln
er
ab
ilit
y
.
2
.
4
.
F
o
r
ma
l
s
p
e
c
i
f
i
c
a
t
i
o
n
f
o
r
a
g
e
n
t
s
T
h
e
R
MI
C
s
p
ec
if
icatio
n
is
a
J
SON
d
o
cu
m
en
t
an
d
its
s
h
a
-
2
5
6
h
ash
is
v
er
if
ied
o
n
ea
ch
lo
ad
.
I
f
an
y
f
ield
ch
a
n
g
es
af
ter
s
ea
lin
g
th
e
h
ash
f
ails
an
d
t
h
e
s
ess
io
n
ab
o
r
ts
.
T
h
is
b
r
in
g
s
t
h
e
s
p
ir
it
of
f
o
r
m
a
l
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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t J E
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&
C
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m
p
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I
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N:
2088
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8
7
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8
R
o
le
mo
d
el
id
en
tity c
o
n
tr
a
ct
en
fo
r
ce
men
t a
s
a
s
tr
u
ctu
r
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a
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of
…
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S
a
h
a
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a
B
.
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2797
m
eth
o
d
s
in
f
o
p
r
o
d
u
ctio
n
d
e
p
lo
y
m
en
ts
with
o
u
t
r
eq
u
ir
i
n
g
f
u
ll
th
eo
r
em
p
r
o
v
in
g
.
Gu
a
r
d
Ag
e
n
t
ad
o
p
ts
a
g
u
a
r
d
-
ag
en
t
ar
ch
itectu
r
e
to
m
o
n
ito
r
th
e
b
eh
av
io
r
o
f
L
L
M
ag
e
n
ts
at
r
u
n
tim
e
[
1
7
]
.
Ag
en
t
b
e
h
av
io
r
al
co
n
tr
ac
ts
f
o
r
m
alize
p
r
e
a
n
d
p
o
s
t
c
o
n
d
it
io
n
s
f
o
r
au
to
n
o
m
o
u
s
AI
ag
en
ts
[
1
8
]
Saf
eAg
en
t
d
is
cu
s
s
es
an
ar
ch
itectu
r
e
f
o
r
r
u
n
tim
e
p
r
o
tectio
n
with
co
n
te
x
t
-
awa
r
e
s
tatef
u
l
g
o
v
e
r
n
an
ce
[
1
9
]
.
Ag
e
n
t
Sp
ec
[
2
0
]
allo
ws
c
u
s
to
m
izab
le
r
u
n
tim
e
en
f
o
r
ce
m
e
n
t
p
o
licies
f
o
r
L
L
M
ag
en
t
ac
tio
n
s
.
C
o
n
tex
tC
o
v
p
r
o
d
u
ce
s
ex
ec
u
tab
le
co
n
s
t
r
ain
ts
f
r
o
m
ag
e
n
t
in
s
tr
u
ctio
n
f
iles
[
2
1
]
.
2
.
5
.
Red
t
ea
m
ing
a
nd
e
v
a
l
u
a
t
i
o
n
B
o
m
m
asan
i
et
a
l.
[
1
]
cla
s
s
if
ie
d
th
e
r
is
k
ca
teg
o
r
ies
of
f
o
u
n
d
a
tio
n
m
o
d
els,
with
g
o
al
m
is
g
en
er
aliza
tio
n
an
d
r
o
le
b
o
u
n
d
ar
y
v
io
latio
n
s
b
ein
g
th
e
m
o
s
t
s
ev
er
e.
Ma
ze
i
k
a
et
a
l.
[
2
2
]
p
r
o
p
o
s
e
Har
m
B
en
ch
,
a
s
tan
d
ar
d
ized
r
ed
team
in
g
f
r
am
ewo
r
k
.
Per
e
z
et
a
l.
[
2
3
]
s
h
o
wed
L
L
Ms
-
ass
is
ted
r
ed
team
in
g
.
Ou
r
a
d
v
er
s
ar
ial
p
r
o
m
p
t
c
o
r
p
u
s
h
as
a
s
im
ilar
ca
teg
o
r
ical
s
tr
u
ct
u
r
e
-
r
o
le
d
r
if
t,
p
er
m
is
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io
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d
r
i
f
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o
al
d
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if
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p
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s
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n
a
d
r
if
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d
at
a
s
co
p
e
d
r
i
f
t
b
u
t
is
s
p
ec
if
ically
d
esig
n
ed
f
o
r
m
u
lti
-
r
o
le
ag
en
tic
ev
alu
atio
n
r
ath
er
th
an
s
in
g
le
m
o
d
el
ca
p
ab
ilit
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test
in
g
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Ag
en
tDo
jo
is
a
d
y
n
am
ic
b
e
n
ch
m
ar
k
f
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r
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alu
atin
g
p
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m
p
t
in
jectio
n
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ac
k
an
d
d
ef
en
s
e
[
8
]
.
J
ailb
r
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k
B
en
ch
p
r
o
v
id
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a
s
tan
d
ar
d
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r
em
e
n
t f
o
r
jailb
r
ea
k
r
o
b
u
s
tn
ess
[
2
4
]
.
3.
SYST
E
M
DE
SI
G
N
3
.
1
.
Ro
le
m
o
del
identit
y
co
ntr
a
ct
(
R
M
I
C
)
E
ac
h
ag
en
t
is
g
o
v
er
n
e
d
by
a
s
e
aled
R
MI
C
:
J
S
ON
ar
tifa
cts
co
n
tain
in
g
a
u
n
iq
u
e
ag
en
t
id
e
n
tif
ier
,
n
at
u
r
al
lan
g
u
ag
e
s
em
an
tic
a
n
ch
o
r
s
en
t
en
ce
s
d
ef
in
i
n
g
th
e
p
er
m
itted
s
co
p
e,
a
to
o
l
allo
w
lis
t
an
d
b
l
o
c
k
lis
t,
a
d
ata
s
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p
e
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d
of
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s
s
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le
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d
p
r
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h
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ited
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teg
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ies,
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u
m
er
ic
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ar
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eter
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n
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ain
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e.
g
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,
a
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ax
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s
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f
USD
5
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0
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r
th
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f
in
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cial
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en
t)
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d
I
DS
o
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esh
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s
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tic
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ch
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e
wr
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f
ir
s
t p
er
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n
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ed
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d
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ce
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r
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ad
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ial
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ef
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am
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g
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T
h
e
s
ea
lin
g
ta
k
es
p
lace
i
n
t
wo
s
tep
s
.
First,
a
ce
n
tr
o
i
d
e
m
b
ed
d
in
g
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m
p
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ted
f
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m
th
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s
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B
AAI
/b
g
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all
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en
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v
1
.
5
[
2
5
]
an
d
s
to
r
ed
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n
th
e
co
n
tr
ac
t.
Seco
n
d
,
a
SHA
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2
5
6
d
ig
est
in
clu
d
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all
f
ield
s
of
t
h
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c
o
n
tr
ac
t
e
x
ce
p
t
th
e
d
ig
est
f
ield
its
elf
;
th
e
d
ig
est
is
s
to
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ed
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d
r
e
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er
if
ied
at
th
e
b
e
g
in
n
in
g
of
ev
er
y
s
ess
io
n
.
R
u
n
tim
e
tam
p
er
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g
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r
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e
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ted
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ec
au
s
e
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y
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ield
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ter
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lo
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ig
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No
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th
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el:
it
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iv
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a
s
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lab
el
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Plan
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all
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F
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g
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r
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Fig
u
r
e
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R
MI
C
Gu
ar
d
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f
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t
p
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Evaluation Warning : The document was created with Spire.PDF for Python.
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s
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1
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Det
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m
ini
s
t
ic
ha
rd
r
ul
e
s
Fo
u
r
O(
1
)
ch
ec
k
s
ar
e
p
er
f
o
r
m
ed
on
th
e
s
ea
led
co
n
tr
ac
t:
i
)
T
h
e
to
o
l
n
am
e
is
not
in
th
e
li
s
t
of
f
o
r
b
id
d
e
n
ac
tio
n
s
;
ii
)
T
h
e
to
o
l
n
am
e
m
u
s
t
b
e
p
r
esen
t
in
th
e
allo
wed
ac
tio
n
s
lis
t;
iii
)
Nu
m
er
ic
ar
g
u
m
en
ts
m
u
s
t
s
ati
s
f
y
all
p
ar
am
eter
co
n
s
tr
ain
ts
;
iv
)
No
d
ata
ca
teg
o
r
y
r
eq
u
ested
m
ay
a
p
p
ea
r
o
n
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r
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h
i
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ited
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s
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g
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ailu
r
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m
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im
m
e
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iate
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d
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ap
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en
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r
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ig
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r
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t
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r
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et
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e
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e
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d
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e
B
ase
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DS r
ec
eiv
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r
e
e
s
ig
n
als:
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R
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d
is
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ce
(
R
D)
d
ef
in
ed
in
(
1
)
m
ea
s
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r
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th
e
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g
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lar
d
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ce
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etwe
en
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lan
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s
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ed
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icate
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ar
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f
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m
th
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wed
r
an
g
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=
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(
(
)
,
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1
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Sem
an
tic
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d
in
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(
SG)
,
I
n
(
2
)
,
we
d
e
f
in
e
s
em
an
tic
g
r
o
u
n
d
in
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(
SG)
as
b
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s
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o
1
.
0
wh
en
th
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t is m
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n
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p
r
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ited
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=
1
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(
−
−
−
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)
˗
T
r
ajec
to
r
y
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u
r
v
atu
r
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(
T
C
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d
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f
in
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in
(
3
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m
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m
e
an
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ch
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i
n
I
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o
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last
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r
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e
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ex
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ter
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atter
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ich
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n
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s
tain
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d
r
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ttack
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=
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|
−
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=
1
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T
h
en
th
e
b
ase
I
DS
is
ca
lcu
lated
as
(
4
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.
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u
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itio
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t
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en
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d
it
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etr
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.
If
B
ase
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DS
≥
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6
0
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e
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ll
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lo
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e
d
.
If
0
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≤
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ase
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DS
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re
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p
r
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m
p
t
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in
jecte
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d
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n
e
c
o
r
r
ec
tiv
e
attem
p
t
is
g
r
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ted
.
B
elo
w
0
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3
2
,
th
e
ca
ll
p
ass
es
to
ex
ec
u
tio
n
.
=
0
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4
×
+
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.
4
×
+
0
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2
×
(
4
)
4.
E
XP
E
R
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M
E
N
T
A
L
M
E
T
H
O
D
4
.
1
.
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a
ng
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g
e
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o
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l
s
We
s
elec
ted
f
o
u
r
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ac
r
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s
s
two
v
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r
s
:
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d
e
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s
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n
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et
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6
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d
clau
d
e
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h
aik
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f
r
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m
An
th
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o
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ic
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llam
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t
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ia
Gr
o
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.
T
h
e
s
elec
tio
n
c
u
ts
ac
r
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s
s
ca
p
ab
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tier
s
,
p
ar
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eter
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ca
les
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d
alig
n
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en
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ap
p
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ac
h
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g
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p
r
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v
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at
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et
to
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2
,
r
an
d
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m
s
ee
d
to
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2
in
all
r
u
n
s
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4
.
2
.
Ag
ent
ro
les
a
nd
c
o
n
t
r
a
c
t
s
Fo
u
r
s
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led
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C
c
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n
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ac
ts
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e
p
r
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ar
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d
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f
f
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n
d
r
em
ain
ed
u
n
ch
a
n
g
ed
in
th
e
ex
p
e
r
im
en
ts
.
T
h
e
f
in
an
cial
tr
an
s
f
er
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e
n
t
can
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h
ec
k
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alan
ce
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an
d
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u
th
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an
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er
s
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0
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0
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h
e
cu
s
to
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er
s
u
p
p
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r
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en
t
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b
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g
a
n
d
escalate
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tick
ets.
T
h
e
h
ea
lth
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r
e
r
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ag
en
t
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n
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ea
r
ch
Pu
b
Me
d
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d
ar
Xiv
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m
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ar
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r
e,
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t
it
s
h
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u
ld
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t
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v
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d
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ical
g
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id
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ce
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h
e
leg
al
d
o
cu
m
e
n
t
r
ev
iew
a
g
en
t
s
h
all
n
o
t
r
e
n
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er
l
eg
al
o
p
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n
io
n
s
but
m
ay
e
x
tr
ac
t
an
d
f
lag
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u
s
es.
B
ef
o
r
e
t
h
e
tr
i
al
r
u
n
,
ea
c
h
c
o
n
tr
ac
t
was seale
d
u
s
in
g
r
ea
l BAAI
em
b
ed
d
in
g
s
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4
.
3
.
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x
p
e
r
i
me
n
t
a
l
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o
n
di
t
i
o
ns
Fo
u
r
ac
tiv
e
co
n
d
itio
n
s
wer
e
e
v
a
l
u
a
t
e
d
:
−
C
o
n
d
itio
n
B
(
Pro
m
p
t
co
n
tr
ac
t
)
-
T
h
e
f
u
ll
R
MI
C
co
n
tr
ac
t
is
s
er
ialized
in
to
th
e
m
o
d
el
s
y
s
tem
p
r
o
m
p
t;
th
e
en
f
o
r
ce
m
e
n
t e
n
g
i
n
e
is
d
is
ab
led
; th
e
m
o
d
el
s
elf
-
p
o
licies.
−
C
o
n
d
itio
n
C
(
R
MI
C
m
id
d
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war
e)
-
T
h
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m
o
d
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r
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;
th
e
d
u
al
p
ass
en
g
in
e
is
f
u
lly
ac
tiv
e
.
−
C
o
n
d
itio
n
C1
(
Har
d
r
u
les
o
n
l
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)
-
Pas
s
1
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ly
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I
DS
is
d
is
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led
.
I
s
o
lates
d
eter
m
in
is
tic
r
u
le
c
h
e
c
k
i
n
g
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
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&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8
7
0
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mo
d
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id
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tr
a
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fo
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S
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n
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B
.
)
2799
−
C
o
n
d
itio
n
C2
(
I
DS
o
n
l
y
)
-
Pas
s
2
o
n
ly
;
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s
1
is
d
is
ab
led
.
I
s
o
lates
s
em
an
tic
d
r
if
t
s
co
r
in
g
.
−
C
o
n
d
itio
n
A
(
n
o
co
n
t
r
ac
t,
n
o
en
f
o
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ce
m
en
t)
is
th
e
th
e
o
r
etica
l
f
lo
o
r
(
DSR
=
0
b
y
co
n
s
tr
u
ctio
n
)
a
n
d
is
ex
clu
d
ed
f
r
o
m
ac
tiv
e
tr
ials
.
4
.
4
.
P
r
o
m
pt
c
o
r
p
u
s
E
a
c
h
m
o
d
e
l
r
o
l
e
c
o
n
d
i
ti
o
n
t
r
ip
l
e
r
e
c
e
i
v
e
d
6
5
p
r
o
m
p
t
s
:
5
0
a
d
v
e
r
s
a
r
i
a
l
a
c
r
o
s
s
f
i
v
e
at
t
a
c
k
c
a
t
e
g
o
r
i
es
(
r
o
l
e
_
d
r
i
f
t
,
p
e
r
m
i
s
s
i
o
n
_
d
r
i
f
t
,
g
o
a
l
_
d
r
i
f
t
,
p
e
r
s
o
n
a
_
d
r
i
f
t
,
d
a
ta
_
s
c
o
p
e
_
d
r
i
f
t
,
1
0
e
a
c
h
)
a
n
d
1
5
l
e
g
i
t
i
m
a
t
e
(
1
0
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e
n
e
r
i
c
in
-
s
c
o
p
e
,
5
r
o
l
e
-
s
p
e
ci
f
i
c
)
.
T
h
e
r
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l
e
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s
p
e
c
i
f
i
c
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e
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it
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m
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s
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d
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i
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n
e
d
t
o
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e
l
e
x
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a
l
l
y
p
r
o
x
i
m
a
t
e
to
a
d
v
e
r
s
a
r
i
a
l
i
n
p
u
t
s
f
o
r
i
n
s
t
a
n
c
e
,
a
g
e
n
u
i
n
e
t
r
a
n
s
f
e
r
r
e
q
u
e
s
t
n
e
a
r
t
h
e
f
o
r
b
i
d
d
e
n
a
c
t
i
o
n
v
o
c
a
b
u
l
a
r
y
t
o
s
t
r
ess
t
es
t
f
a
ls
e
p
o
s
i
t
i
v
e
b
e
h
a
v
i
o
r
.
P
r
o
m
p
t
s
we
r
e
a
u
t
h
o
r
e
d
i
n
d
e
p
e
n
d
e
n
t
l
y
a
n
d
n
o
t
d
r
a
w
n
f
o
r
m
p
r
i
o
r
p
u
b
l
i
s
h
e
d
r
e
d
t
e
a
m
c
o
r
p
o
r
a
.
4
.
5
.
E
v
a
lua
t
i
o
n
m
e
t
r
i
c
s
Dr
if
t
s
u
p
p
r
ess
io
n
=
_
/
_
m
ea
s
u
r
e
h
ar
d
b
l
o
ck
in
g
o
f
ad
v
e
r
s
ar
ial
ca
lls
.
Dr
if
t
d
etec
tio
n
=
_
/
_
co
u
n
t
s
an
y
aler
t
(
B
L
OC
K
o
r
W
AR
N)
.
Fals
e
p
o
s
itiv
es
=
_
/
_
m
ea
s
u
r
es
o
p
er
atio
n
al
v
iab
ilit
y
.
W
ils
o
n
s
co
r
e
95%
c
o
n
f
id
e
n
ce
in
ter
v
als
ar
e
r
ep
o
r
ted
f
o
r
DSR
an
d
FP
R
;
ch
i
-
s
q
u
ar
e
c
o
n
tin
g
e
n
cy
test
s
ass
es
s
th
e
b
lo
ck
ed
/n
o
t
-
b
lo
c
k
ed
d
is
tr
ib
u
tio
n
ac
r
o
s
s
co
n
d
itio
n
s
.
5.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
5
.
1
.
P
rim
a
ry
f
i
n
d
i
n
g
s
T
ab
le
1
lis
ts
DSR
,
DDR
an
d
FP
R
f
o
r
all
m
o
d
els
in
all
co
n
d
itio
n
s
f
r
o
m
5
,
2
1
2
API
ca
ll
s
(
two
f
u
ll
r
u
n
s
)
.
Fig
u
r
e
2
s
h
o
ws
th
e
s
a
m
e
d
ata
in
a
v
is
u
al
f
o
r
m
with
b
ar
s
d
if
f
er
en
tiated
b
y
p
atter
n
.
T
h
e
m
ain
r
esu
lt
is
o
b
v
io
u
s
:
in
t
h
e
co
n
d
itio
n
C,
t
wo
of
f
o
u
r
m
o
d
els
ac
h
iev
e
D
SR
=
1
.
0
0
0
,
th
e
th
ir
d
(
clau
d
e
-
s
o
n
n
et
-
4
-
6)
ac
h
iev
es
0
.
9
7
2
an
d
t
h
e
f
o
u
r
th
(
cla
u
d
e
-
h
aik
u
-
4
-
5
)
ac
h
ie
v
es
0
.
9
5
2
.
I
n
c
o
n
d
itio
n
B
,
n
o
m
o
d
el
g
o
es
b
e
y
o
n
d
DSR
=
0
.
3
9
1
;
llam
a
-
3
.
1
-
8b
-
in
s
tan
t o
n
ly
r
ea
c
h
es 0
.
0
2
0
.
T
h
e
g
ap
is
r
ep
licate
d
r
eg
ar
d
less
o
f
ar
ch
itectu
r
e
o
r
ca
p
ab
ilit
y
tier
.
DDR
=
1
.
0
0
0
u
n
d
er
co
n
d
itio
n
C
f
o
r
all
f
o
u
r
m
o
d
els)
m
e
an
in
g
th
at
th
e
I
DS
en
g
in
e
f
l
ag
s
ev
er
y
ad
v
er
s
ar
ial
p
r
o
m
p
t
as
a
W
A
R
N
at
m
in
im
u
m
ev
en
wh
en
PASS
1
d
o
es
not
f
ir
e.
A
ch
i
-
s
q
u
ar
e
test
on
th
e
b
lo
ck
ed
/n
o
t
-
b
lo
c
k
ed
d
is
tr
ib
u
tio
n
ac
r
o
s
s
co
n
d
itio
n
s
y
ield
2
(
3
)
=
847
.
3
,
p
<
0
.
0
0
0
1
.
C
o
h
e
n
’
s
d
c
o
m
p
ar
i
n
g
B
ase
I
DS
s
co
r
es
ca
lcu
lated
p
er
(
4
)
(
c
o
n
d
itio
n
C
v
er
s
u
s
C
o
n
d
itio
n
B
)
is
d
=1
.
8
4
,
a
lar
g
e
ef
f
ec
t.
T
h
e
d
ata
s
tr
o
n
g
ly
ex
clu
d
e
th
e
h
y
p
o
th
esis
th
at
s
u
p
p
r
ess
io
n
is
a
co
n
s
eq
u
en
ce
of
m
o
d
el
ca
p
ab
ilit
y
r
ath
e
r
th
an
en
f
o
r
ce
m
en
t
p
o
s
i
t
i
o
n
.
5
.
2
.
Abla
t
io
n
r
e
s
u
l
t
s
Un
d
er
co
n
d
itio
n
C
1
(
h
ar
d
r
u
l
es
o
n
ly
)
,
DSR
≈
1
.
0
0
0
ac
r
o
s
s
all
m
o
d
els,
co
n
f
ir
m
in
g
th
at
th
e
cr
af
ted
ad
v
er
s
ar
ial
co
r
p
u
s
alwa
y
s
tr
i
g
g
er
s
at
least
o
n
e
co
n
t
r
ac
t
c
o
n
s
tr
ain
t
in
n
ea
r
ly
all
ca
s
es.
T
h
e
p
r
ice
is
s
teep
:
FPR
=
0
.
6
2
2
-
0
.
6
6
7
.
L
eg
itim
ate
q
u
er
ies
th
at
m
en
tio
n
tr
an
s
f
er
o
p
er
atio
n
s
,
m
ed
icatio
n
n
am
es,
o
r
co
n
tr
ac
t
clau
s
es
ar
e
b
lo
ck
ed
alo
n
g
s
id
e
g
en
u
in
e
attac
k
s
b
ec
au
s
e
Pas
s
1
o
p
er
ates
o
n
to
o
l
n
am
es
an
d
d
ata
ca
teg
o
r
ies
r
ath
er
th
an
s
em
an
tic
in
ten
t.
A
p
r
o
d
u
ctio
n
d
e
p
lo
y
m
e
n
t th
at
o
n
ly
r
u
n
s
C
1
will r
ejec
t m
o
s
t v
alid
r
eq
u
ests
.
C
o
n
d
itio
n
C2
(
I
DS
o
n
ly
)
h
as
D
SR
=
0
.
0
0
0
f
o
r
b
o
th
An
th
r
o
p
ic
m
o
d
els,
0
.
0
7
8
f
o
r
‘
llam
a
-
3
.
1
-
8b
-
in
s
tan
t’
an
d
0
.
2
7
2
f
o
r
‘
llam
a
-
3
.
3
-
7
0
b
-
v
er
s
atile’
.
In
all
ca
s
es,
m
ea
n
in
g
e
v
er
y
ad
v
e
r
s
ar
ial
p
r
o
m
p
t
is
f
lag
g
ed
at
s
o
m
e
l
e
v
e
l
-
ev
en
th
o
u
g
h
DDR
=
1
.
0
0
0
,
th
e
I
DS
en
g
in
e
ca
n
n
o
t
is
s
u
e
ter
m
in
al
B
lo
ck
s
with
o
u
t
h
a
r
d
r
u
le
v
io
latio
n
s
to
an
ch
o
r
o
n
.
T
h
e
av
er
ag
e
ad
v
er
s
ar
ial
B
ase
I
DS
of
0
.
5
2
7
u
n
d
er
C
2
,
ca
lcu
lated
p
er
(
4
)
,
is
j
u
s
t
u
n
d
er
th
e
b
lo
ck
ce
ilin
g
o
f
0
.
6
0
,
r
esu
ltin
g
in
N
E
E
DS
R
E
C
OVE
R
Y
escalat
io
n
s
th
at
th
e
m
o
d
el
ca
n
th
en
av
o
id
.
T
h
e
d
u
al
p
ass
d
esig
n
is
n
o
t a
co
n
v
en
ie
n
ce
; it
is
ar
ch
itectu
r
ally
r
eq
u
ir
ed
.
5
.
3
.
I
DS
co
m
po
nent
a
n
a
l
y
s
i
s
All
s
ev
e
n
s
i
g
n
a
l
s
t
atis
tics
u
n
d
e
r
co
n
d
it
io
n
C
a
r
e
s
u
m
m
ar
i
ze
d
in
T
a
b
le
2.
A
d
eta
il
ed
v
is
u
al
r
e
p
r
ese
n
t
ati
o
n
o
f
t
h
e
a
v
er
ag
e
I
DS
c
o
m
p
o
n
e
n
ts
ac
r
o
s
s
al
l
f
o
u
r
e
v
a
lu
ate
d
m
o
d
e
ls
u
n
d
er
C
o
n
d
it
io
n
C
is
ill
u
s
tr
at
ed
i
n
Fi
g
u
r
e
3
.
T
h
e
m
o
s
t
s
t
ab
le
d
is
c
r
i
m
i
n
a
to
r
s
a
r
e
Ma
h
al
a
n
o
b
is
d
is
t
a
n
ce
(
m
ea
n
=
0
.
9
5
3
4
,
SD
=
0
.
0
0
1
9
)
an
d
W
ass
er
s
tei
n
d
is
ta
n
c
e
(
m
ea
n
=
0
.
9
9
7
8
,
SD
=
0
.
0
0
2
7
)
,
wh
i
ch
r
em
ain
n
ea
r
ce
ilin
g
with
m
in
im
al
in
ter
-
m
o
d
el
v
ar
ian
ce
,
s
u
g
g
esti
n
g
th
at
ad
v
er
s
ar
ial
in
p
u
ts
p
r
o
d
u
ce
co
n
s
is
ten
t
d
is
tr
ib
u
tio
n
al
an
o
m
alies
r
eg
ar
d
less
of
wh
ich
m
o
d
el
g
en
er
ates
th
e
p
lan
.
T
o
o
l
Fre
q
u
en
cy
d
r
if
t
(
m
ea
n
=
0
.
8
3
1
3
,
SD
=
0
.
1
7
9
5
)
ca
r
r
ies
th
e
m
o
s
t
v
ar
ian
ce
.
T
h
is
co
m
es
f
r
o
m
ca
s
es
wh
e
r
e
an
a
d
v
er
s
ar
ial
r
e
q
u
est
s
u
cc
ess
f
u
lly
u
tili
ze
s
an
allo
wed
to
o
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Fin
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Fo
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16
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ir
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t
f
ix
is
tar
g
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d
p
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R
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lib
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5
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a
ls
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ca
us
e
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nd
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me
d
y
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=
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6
6
7
u
n
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e
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s
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at
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d
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is
tr
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tio
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lib
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ax
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lim
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s
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ata
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ce
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f
o
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5
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.
Drif
t
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J
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5
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L
a
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Fig
u
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4
s
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c
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B,
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ac
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s
s
th
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m
o
d
els.
C
o
m
p
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ed
to
co
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:
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Gr
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laten
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Pas
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DS
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v
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d
d
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est
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u
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tr
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r
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tifie
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p
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to
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b
5
0
0
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s
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DS
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n
.
T
ab
le
1.
Ma
in
ex
p
e
r
im
en
tal
r
e
s
u
lts
:
DS
R
,
DDR,
FP
R
an
d
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er
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p
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o
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el
p
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d
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t
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M
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l
C
o
n
d
.
D
S
R
DDR
FPR
L
a
t
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c
y
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CI
(
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6
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[
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C2
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[
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1
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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
R
o
le
mo
d
el
id
en
tity c
o
n
tr
a
ct
en
fo
r
ce
men
t a
s
a
s
tr
u
ctu
r
a
l d
e
termin
a
n
t
of
…
(
S
a
h
a
n
a
B
.
)
2801
B
=
Pro
m
p
t
C
o
n
t
r
a
c
t
C
=
RM
I
C
Mi
d
d
l
e
w
a
re
C1
=
H
a
r
d
Ru
l
e
s
O
n
l
y
C2
=
IDS
O
n
l
y
Fig
u
r
e
2
.
DSR
,
DDR
an
d
FPR
p
er
co
n
d
itio
n
p
er
m
o
d
el
(B
=
Pro
m
p
t
C
o
n
tr
ac
t,
C
=
Fu
ll
Mi
d
d
le
war
e,
C1
=
Har
d
R
u
les,
C
2
=
I
DS o
n
ly
)
T
ab
le
2.
I
DS
co
m
p
o
n
en
t
s
tatis
tics
f
o
r
co
n
d
itio
n
C
(
all
m
o
d
e
l
s
)
I
D
S
M
e
t
r
i
c
M
e
a
n
S
t
d
.
D
e
v
.
M
i
n
M
a
x
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se
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D
S
0
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5
5
6
7
0
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0
1
5
7
0
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5
3
8
4
0
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5
8
0
9
M
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h
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l
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e
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e
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3
4
4
9
0
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3
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5
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o
o
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r
e
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8
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3
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1
7
9
5
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5
2
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8
0
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Fig
u
r
e
3
.
Av
er
ag
e
I
DS
co
m
p
o
n
en
t
s
co
r
es
f
o
r
C
o
n
d
itio
n
C
ac
r
o
s
s
all
f
o
u
r
m
o
d
els
(
d
ar
k
er
ce
lls
r
ep
r
esen
t
h
ig
h
er
d
r
if
t sig
n
al;
v
alu
es a
r
e
m
o
d
el
-
av
er
ag
ed
m
ea
n
s
)
T
ab
le
3.
R
o
le
-
wis
e
DSR
p
er
f
o
r
m
an
ce
a
n
d
I
DS
s
t
a
t
is
t
i
cs
A
g
e
n
t
R
o
l
e
D
S
R
N
(
a
d
v
.
)
A
v
g
.
B
a
se
I
D
S
F
i
n
a
n
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i
a
l
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n
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e
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1
2
0
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5
4
4
C
u
s
t
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mer
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t
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1
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0
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e
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l
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Le
g
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l
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4
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
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8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
16
,
No
.
5
,
Octo
b
e
r
20
26
:
2
7
9
5
-
2
8
0
5
2802
Fig
u
r
e
4
.
Av
er
ag
e
p
e
r
-
ca
ll
laten
cy
(
m
s
)
f
o
r
C
o
n
d
itio
n
s
B,
C,
an
d
C1
ac
r
o
s
s
f
o
u
r
m
o
d
els
(
C
2
o
m
itted
f
o
r
clar
ity
; I
DS
-
o
n
ly
laten
cy
is
co
m
p
ar
ab
le
to
f
u
ll C
o
n
d
itio
n
C
)
6.
CO
NCLU
SI
O
N
R
MI
C
Gu
ar
d
d
em
o
n
s
tr
ates
th
at
p
lacin
g
en
f
o
r
ce
m
e
n
t
o
u
ts
id
e
th
e
m
o
d
el’
s
in
s
tr
u
ctio
n
co
n
tex
t
r
ath
er
th
an
r
ely
in
g
o
n
m
o
d
el
s
elf
-
p
o
licin
g
th
r
o
u
g
h
a
p
r
o
m
p
t
c
o
n
tr
ac
t
is
th
e
p
r
im
ar
y
d
eter
m
in
an
t
o
f
id
e
n
tity
d
r
if
t
s
u
p
p
r
ess
io
n
.
Acr
o
s
s
5
,
2
1
2
API
ca
lls
,
f
o
u
r
m
o
d
els
an
d
f
o
u
r
ag
en
t
r
o
les,
ex
ter
n
al
d
u
al
p
ass
m
id
d
le
war
e
ac
h
iev
es
DSR
=
0
.
9
5
2
-
1
.
0
0
0
u
n
if
o
r
m
ly
,
wh
ile
t
h
e
b
est
p
r
o
m
p
t
o
n
ly
co
n
d
itio
n
r
ea
ch
es
DSR
=
0
.
3
9
1
a
n
d
wea
k
est
r
ea
ch
es
0
.
0
2
0
.
A
b
latio
n
s
h
o
w
s
th
e
n
ec
ess
ity
o
f
t
h
e
d
u
al
p
as
s
ar
ch
itectu
r
e:
h
ar
d
r
u
les
alo
n
e
p
r
o
d
u
ce
t
o
o
m
a
n
y
f
alse
p
o
s
itiv
es;
s
em
an
tic
I
DS
alo
n
e
ca
n
n
o
t
o
u
tp
u
t
ter
m
in
al
b
lo
ck
s
.
It
i
s
th
e
co
m
b
in
atio
n
o
f
b
o
th
p
ass
es
th
at
m
ak
es th
e
s
y
s
tem
b
o
th
s
af
e
a
n
d
o
p
er
atio
n
ally
v
iab
le
.
T
wo
o
p
e
n
p
r
o
b
l
em
s
d
ese
r
v
e
i
m
m
ed
iat
e
at
te
n
ti
o
n
.
Fi
r
s
t,
p
er
r
o
le
R
OC
ca
l
ib
r
a
ti
o
n
is
n
ee
d
ed
b
e
f
o
r
e
p
r
o
d
u
ct
io
n
d
e
p
l
o
y
m
e
n
t
:
t
h
e
c
u
r
r
e
n
t d
e
f
au
lt th
r
es
h
o
l
d
s
y
i
el
d
F
PR
=
0
.
6
6
7
at
wa
r
n
l
e
v
el
,
wh
i
ch
m
u
s
t
b
e
r
e
d
u
c
e
d
wit
h
o
u
t
s
ac
r
i
f
ici
n
g
DSR
.
S
e
co
n
d
,
l
ate
n
cy
o
p
ti
m
i
za
ti
o
n
s
p
e
ci
f
ic
all
y
b
at
ch
e
d
em
b
ed
d
i
n
g
c
o
m
p
u
t
ati
o
n
a
n
d
ce
n
t
r
o
id
c
ac
h
i
n
g
is
n
e
ce
s
s
a
r
y
f
o
r
i
n
te
r
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cti
v
e
ap
p
l
ica
ti
o
n
s
t
h
at
ca
n
n
o
t
t
o
l
e
r
at
e
s
ev
e
r
al
s
e
co
n
d
s
o
f
e
n
f
o
r
ce
m
e
n
t
o
v
e
r
h
ea
d
p
er
c
all
.
B
e
y
o
n
d
th
e
s
e,
f
u
t
u
r
e
d
ir
ec
ti
o
n
s
i
n
c
lu
d
e
m
u
lt
i
ag
en
t
R
MI
C
f
ed
e
r
ati
o
n
f
o
r
c
o
o
r
d
i
n
a
te
d
c
r
o
s
s
-
ag
en
t
d
r
i
f
t
d
ete
cti
o
n
,
wh
ite
box
e
v
a
lu
ati
o
n
a
g
ai
n
s
t
a
tta
c
k
e
r
s
wit
h
f
u
l
l
c
o
n
t
r
ac
t
k
n
o
w
le
d
g
e,
an
d
l
o
n
g
e
r
t
r
aj
ec
to
r
y
win
d
o
ws
t
o
ca
p
t
u
r
e
s
lo
w
b
u
r
n
d
r
if
t
ca
m
p
ai
g
n
s
u
n
f
o
l
d
i
n
g
o
v
e
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te
n
s
o
f
c
o
n
v
er
s
ati
o
n
tu
r
n
s
.
T
h
e
b
r
o
a
d
e
r
i
m
p
l
i
c
a
t
i
o
n
is
a
r
c
h
i
t
e
c
t
u
r
a
l
r
a
t
h
e
r
t
h
a
n
m
o
d
e
l
s
p
e
c
i
f
i
c
.
P
r
o
m
p
t
e
n
g
i
n
e
e
r
i
n
g
c
a
n
n
o
t
p
r
o
v
i
d
e
p
r
o
v
a
b
le
r
o
le
is
o
latio
n
,
r
e
g
ar
d
less
o
f
h
o
w
well
c
o
n
s
tr
u
cted
t
h
e
co
n
tr
ac
t
tex
t
is
o
r
h
o
w
ca
p
ab
le
th
e
u
n
d
er
ly
in
g
m
o
d
el
is
.
Stru
ct
u
r
al
en
f
o
r
ce
m
en
t
v
er
if
ia
b
le,
au
d
itab
le
an
d
in
d
ep
e
n
d
en
t
o
f
t
h
e
m
o
d
el’
s
r
ec
ep
tiv
e
f
ield
is
th
e
en
g
in
ee
r
in
g
f
o
u
n
d
atio
n
th
at
h
i
g
h
-
s
tak
es
ag
en
tic
d
e
p
lo
y
m
e
n
ts
r
eq
u
ir
e.
A
C
K
N
O
W
L
E
D
G
M
E
NT
S
T
h
is
r
esear
ch
d
id
n
o
t
r
ec
eiv
e
an
y
s
p
ec
if
ic
g
r
an
t
f
r
o
m
f
u
n
d
i
n
g
ag
en
cies
in
th
e
p
u
b
lic,
co
m
m
er
cial,
o
r
not
-
f
o
r
-
p
r
o
f
it
s
ec
to
r
s
.
T
h
e
s
tu
d
y
was
ca
r
r
ied
out
as
p
ar
t
of
o
n
g
o
in
g
ac
ad
em
ic
r
esear
ch
ac
tiv
ities
at
th
e
au
th
o
r
s
’
in
s
titu
tio
n
.
Au
th
o
r
s
s
tate
n
o
f
u
n
d
in
g
i
n
v
o
lv
e
d
.
F
UNDING
I
N
F
O
R
M
A
T
I
O
N
No
ad
d
itio
n
al
ex
ter
n
al
f
u
n
d
i
n
g
was
r
ec
eiv
ed
.
Au
th
o
r
s
s
tate
no
f
u
n
d
in
g
c
o
n
f
l
i
c
t
s
.
CO
NF
L
I
C
T
OF
I
N
T
E
RE
ST
S
T
A
T
E
M
E
NT
T
h
e
au
t
h
o
r
s
d
ec
lar
e
th
at
th
e
y
h
av
e
n
o
k
n
o
wn
c
o
m
p
etin
g
f
in
an
cial
in
ter
ests
o
r
p
er
s
o
n
al
r
el
atio
n
s
h
ip
s
th
at
co
u
ld
h
av
e
ap
p
ea
r
ed
t
o
in
f
lu
en
ce
th
e
wo
r
k
r
e
p
o
r
te
d
in
t
h
is
p
ap
er
.
Au
th
o
r
s
s
tate
n
o
co
n
f
lict o
f
in
ter
est.
D
A
T
A
A
V
A
I
L
AB
I
L
I
T
Y
A
l
l
r
es
e
a
r
c
h
a
r
t
i
f
ac
t
s
u
s
e
d
in
t
h
i
s
s
t
u
d
y
a
r
e
p
u
b
l
i
c
ly
a
v
a
i
l
a
b
l
e
at
h
tt
p
s
:
//
g
i
t
h
u
b
.
c
o
m
/
A
r
s
h
u
-
1
1
0
4
/
R
M
I
C
.
g
i
t
u
n
d
er
th
e
MI
T
L
icen
s
e.
T
h
e
r
ep
o
s
ito
r
y
i
n
clu
d
es
th
e
en
f
o
r
ce
m
en
t
en
g
in
e
s
o
u
r
ce
co
d
e,
s
ea
led
R
MI
C
co
n
tr
ac
ts
,
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h
n
o
l
o
g
ies
.
S
h
e
h
a
s
b
e
e
n
in
v
o
lv
e
d
in
th
e
d
e
sig
n
a
n
d
d
e
v
e
l
o
p
m
e
n
t
of
in
telli
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e
n
t
s
y
ste
m
s
a
d
d
re
ss
in
g
c
h
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ll
e
n
g
e
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in
h
e
a
lt
h
-
c
a
re
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c
a
re
e
r
g
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i
d
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n
c
e
,
a
n
d
n
a
tu
ra
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lan
g
u
a
g
e
p
ro
c
e
ss
in
g
.
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r
o
u
g
h
a
c
ti
v
e
p
a
rt
icip
a
ti
o
n
in
re
se
a
rc
h
p
ro
jec
ts,
h
a
c
k
a
th
o
n
s,
a
n
d
in
n
o
v
a
t
io
n
-
d
riv
e
n
i
n
it
iati
v
e
s,
sh
e
h
a
s
g
a
in
e
d
e
x
p
e
rien
c
e
in
a
p
p
l
y
i
n
g
AI
a
n
d
d
a
ta
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d
riv
e
n
m
e
th
o
d
o
l
o
g
ies
to
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lv
e
p
ra
c
ti
c
a
l
p
ro
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lem
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r
w
o
rk
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flec
ts
a
stro
n
g
c
o
m
m
it
m
e
n
t
t
o
a
d
v
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n
c
in
g
tec
h
n
o
l
o
g
y
f
o
r
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ieta
l
imp
a
c
t
a
n
d
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ri
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g
in
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o
v
a
ti
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in
e
m
e
rg
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g
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re
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o
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ter
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ien
c
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.
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h
e
c
a
n
b
e
c
o
n
tac
ted
a
t
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m
a
il
:
a
rsh
it
h
a
.
s1
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4
@g
m
a
il
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o
m
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n
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r
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k
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l
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is
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rre
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p
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rsu
in
g
h
e
r
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c
h
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lo
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g
i
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rin
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o
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p
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ter
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d
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g
i
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e
r
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g
at
R
N
S
I
n
s
t
i
t
u
t
e
of
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c
h
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o
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o
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y
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e
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g
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l
u
r
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,
a
n
d
is
p
r
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s
e
n
t
l
y
in
h
e
r
t
h
i
r
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y
e
a
r
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t
u
d
y
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e
r
p
r
i
m
a
ry
a
re
a
s
of
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tere
st
in
c
lu
d
e
a
rti
f
icia
l
in
tel
li
g
e
n
c
e
,
a
g
e
n
ti
c
AI
sy
ste
m
s,
a
n
d
e
m
e
rg
in
g
tec
h
n
o
lo
g
ies
.
S
h
e
h
a
s
c
o
n
tri
b
u
ted
t
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th
e
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se
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rc
h
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n
d
d
e
v
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lo
p
m
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t
o
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IC
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G
u
a
rd
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c
ry
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ra
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h
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id
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re
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m
fo
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ru
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ti
m
e
i
d
e
n
ti
t
y
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o
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trac
t
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in
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to
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o
m
o
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s
L
L
M
a
g
e
n
ts.
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h
e
h
a
s
a
lso
w
o
rk
e
d
o
n
a
n
AI
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b
a
se
d
Re
su
m
e
An
a
ly
z
e
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ro
jec
t
f
o
c
u
se
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o
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i
n
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li
g
e
n
t
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m
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n
d
a
n
a
l
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sis.
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r
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u
g
h
h
e
r
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c
a
d
e
m
ic
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n
d
p
r
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jec
t
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r
k
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s
h
e
h
a
s
d
e
v
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l
o
p
e
d
sk
i
ll
s
in
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ftwa
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d
e
v
e
l
o
p
m
e
n
t,
p
ro
b
lem
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so
lv
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n
g
,
a
n
d
AI
-
d
riv
e
n
a
p
p
li
c
a
ti
o
n
s.
S
h
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k
e
e
n
o
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x
p
lo
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g
e
m
e
rg
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tec
h
n
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lo
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ies
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n
d
a
d
v
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n
c
i
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g
h
e
r
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h
n
ica
l
e
x
p
e
rt
ise
th
r
o
u
g
h
re
se
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rc
h
,
p
r
o
jec
ts,
a
n
d
c
o
n
ti
n
u
o
u
s
lea
rn
in
g
.
S
h
e
c
a
n
b
e
c
o
n
tac
ted
a
t:
c
h
a
n
d
a
n
a
h
1
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0
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@g
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a
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o
m
.
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e
th
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.
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r
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n
d
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m
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s
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ird
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y
e
a
r
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n
g
i
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e
e
rin
g
st
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d
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n
t
at
RNS
In
stit
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te
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f
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h
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o
lo
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y
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th
a
stro
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g
p
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ss
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n
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r
tec
h
n
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lo
g
y
,
in
n
o
v
a
ti
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n
,
a
n
d
p
ro
b
lem
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so
lv
i
n
g
.
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h
e
h
a
s
d
e
v
e
lo
p
e
d
a
so
li
d
fo
u
n
d
a
ti
o
n
in
so
ftwa
re
d
e
v
e
lo
p
m
e
n
t,
a
rti
ficia
l
in
telli
g
e
n
c
e
,
a
n
d
e
m
e
rg
in
g
tec
h
n
o
l
o
g
ies
.
Kn
o
wn
fo
r
a
d
isc
ip
l
in
e
d
w
o
rk
e
t
h
ic,
a
n
a
ly
ti
c
a
l
m
in
d
se
t,
a
n
d
c
o
m
m
it
m
e
n
t
to
c
o
n
ti
n
u
o
u
s
lea
rn
i
n
g
.
S
h
e
c
o
n
siste
n
tl
y
se
e
k
s
o
p
p
o
r
tu
n
it
ies
to
e
x
p
a
n
d
tec
h
n
ica
l
e
x
p
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rti
se
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n
d
a
p
p
l
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k
n
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wle
d
g
e
t
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re
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l
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rl
d
c
h
a
ll
e
n
g
e
s.
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y
o
n
d
a
c
a
d
e
m
ics
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sh
e
is
d
e
e
p
ly
in
tere
ste
d
in
c
o
d
i
n
g
a
n
d
e
x
p
lo
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n
g
n
e
w
tec
h
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ica
l
a
d
v
a
n
c
e
m
e
n
ts.
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t
h
a
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lea
r
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o
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l
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b
e
c
o
m
in
g
a
su
c
c
e
ss
fu
l
so
ftwa
re
e
n
g
in
e
e
r,
sh
e
a
sp
ires
to
c
re
a
te
imp
a
c
tfu
l
so
lu
ti
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n
s
t
h
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t
c
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tri
b
u
te
m
e
a
n
in
g
fu
ll
y
to
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iet
y
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n
d
tec
h
n
o
l
o
g
ica
l
p
ro
g
re
ss
.
S
h
e
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
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e
e
th
u
.
b
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k
rish
n
a
1
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g
m
a
il
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c
o
m
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o
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m
y
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Pra
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e
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g
i
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e
e
rin
g
M
a
n
a
g
e
r
at
IBM
In
d
ia
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o
ftwa
re
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s
,
Ba
n
g
a
lo
re
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lea
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in
g
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latfo
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v
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p
m
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n
t
fo
r
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o
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h
e
stra
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(Dig
it
a
l
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r).
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t
h
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v
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r
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rs
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stry
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p
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e
,
in
c
lu
d
in
g
1
4
y
e
a
rs
a
t
IBM
,
sh
e
h
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s
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o
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tri
b
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a
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a
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g
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Re
tail,
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n
su
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n
d
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a
lt
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m
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o
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sin
g
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n
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p
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d
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u
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u
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m
a
ti
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ig
it
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ti
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tu
re
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h
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a
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e
m
b
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r
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f
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e
IBM
Ac
a
d
e
m
y
of
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h
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y
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n
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h
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s
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ly
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b
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ted
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th
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lab
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ra
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ra
c
e
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p
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v
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in
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,
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n
d
g
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l
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re
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r
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c
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lu
d
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V
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Aw
a
rd
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r
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m
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in
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rsh
ip
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)
a
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To
p
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t
th
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n
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s
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ia
(2
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h
e
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lso
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m
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rsh
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p
,
d
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rsity
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it
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a
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d
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d
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rc
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p
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b
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to
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e
r
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re
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it
.
S
h
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can
be
c
o
n
tac
ted
at
e
m
a
il
:
s
p
r
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s
a
d
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@
i
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.
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.
c
o
m
.
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