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1
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o
s
p
ital
to
ca
lcu
late
th
e
n
ee
d
ed
r
e
s
o
u
r
ce
s
i
n
ca
r
e
s
ta
f
f
an
d
h
o
s
p
ital
b
ed
s
.
No
u
ao
u
r
i
et
al
[
6
]
also
p
r
o
p
o
s
ed
t
w
o
in
te
g
er
li
n
ea
r
p
r
o
g
r
am
m
i
n
g
m
o
d
els
to
p
r
o
v
i
d
e
f
ir
s
t
t
h
e
o
p
ti
m
al
n
u
m
b
er
o
f
o
p
er
atin
g
r
o
o
m
s
th
a
t
allo
w
t
h
e
tr
ea
t
m
e
n
t
o
f
all
th
e
v
icti
m
s
,
a
n
d
th
e
n
to
d
eter
m
in
e
th
e
late
s
t
r
ea
d
y
d
ate
s
o
f
s
u
r
g
ical
s
ta
f
f
s
.
L
a
m
ir
i
et
al
[
7
]
p
r
o
p
o
s
ed
a
s
to
ch
a
s
tic
m
o
d
el
f
o
r
o
p
er
atin
g
r
o
o
m
p
lan
n
i
n
g
w
it
h
t
w
o
cl
ass
es
o
f
p
atie
n
ts
:
elec
ti
v
e
p
ati
en
ts
a
n
d
e
m
er
g
e
n
c
y
p
atien
ts
.
C
o
ch
r
a
n
[
8
]
u
s
ed
q
u
eu
in
g
th
eo
r
y
to
p
r
o
p
o
s
e
a
m
o
d
el
b
ased
o
n
p
atien
t
f
lo
w
s
to
s
ize
t
h
e
e
m
er
g
e
n
c
y
d
ep
a
r
tm
e
n
t
s
u
r
f
ac
e
ac
co
r
d
in
g
to
ce
r
tain
p
r
e
-
e
s
tab
lis
h
ed
cr
i
ter
ia.
T
h
e
s
i
m
u
latio
n
i
s
also
u
s
ed
i
n
t
h
e
E
D
to
ad
j
u
s
t
th
e
n
u
m
b
er
o
f
m
ed
ica
l
tea
m
s
b
y
s
izin
g
t
h
e
n
u
m
b
e
r
o
f
b
ed
s
n
ee
d
ed
to
ac
co
m
m
o
d
ate
p
atien
ts
[
9
]
.
R
id
g
e
et
al
[
1
0
]
u
s
ed
s
im
u
lat
i
o
n
m
o
d
el
f
o
r
b
ed
ca
p
ac
ity
p
la
n
n
i
n
g
in
i
n
te
n
s
i
v
e
ca
r
e.
J
o
h
n
et
al
[
1
1
]
d
escr
ib
e
d
a
s
et
o
f
m
o
d
els
f
o
r
allo
ca
tin
g
th
e
s
u
r
g
ical
r
eso
u
r
ce
s
i
n
h
o
s
p
itals
.
Ha
n
s
et
al
[
1
2
]
p
r
o
p
o
s
ed
v
ar
io
u
s
co
n
s
tr
u
ct
iv
e
h
eu
r
i
s
tic
s
an
d
l
o
ca
l
s
ea
r
ch
m
et
h
o
d
s
th
a
t
u
s
e
s
tatis
tica
l
in
f
o
r
m
at
io
n
o
n
s
u
r
g
er
y
d
u
r
atio
n
s
to
ex
p
lo
it
th
e
p
o
r
tf
o
lio
ef
f
ec
t,
an
d
th
er
eb
y
to
m
i
n
i
m
ize
t
h
e
r
eq
u
ir
ed
s
lack
.
Fied
r
ich
et
al
[
1
3
]
in
tr
o
d
u
ce
d
a
d
y
n
a
m
ic
o
p
ti
m
izatio
n
m
o
d
el
th
at
d
etailed
d
escr
ip
tio
n
s
o
f
b
o
th
th
e
o
p
er
atio
n
al
ar
ea
s
an
d
th
e
av
ailab
le
r
eso
u
r
ce
s
to
ca
lcu
late
th
e
r
eso
u
r
ce
p
er
f
o
r
m
a
n
ce
an
d
ef
f
icie
n
c
y
f
o
r
d
if
f
er
e
n
t
tas
k
s
r
elate
d
to
th
e
r
esp
o
n
s
e
af
ter
ea
r
th
q
u
a
k
e
d
is
aster
s
.
A
lt
h
o
u
g
h
a
lo
t
o
f
tas
k
s
co
n
ce
r
n
i
n
g
t
h
e
s
izi
n
g
o
f
th
e
h
o
s
p
ital
r
eso
u
r
ce
s
h
a
v
e
a
p
p
ea
r
ed
in
th
e
liter
at
u
r
e,
w
e
h
av
e
n
o
tic
ed
th
at
litt
le
o
f
t
h
e
m
h
a
v
e
f
o
cu
s
ed
o
n
r
eso
u
r
ce
s
s
iz
in
g
i
n
d
is
a
s
ter
s
i
tu
at
io
n
s
g
en
er
ati
n
g
a
m
a
s
s
i
v
e
in
f
l
u
x
o
f
v
icti
m
s
w
h
o
r
eq
u
ir
e
u
r
g
e
n
t
ca
r
e
[
6
]
.
Als
o
,
m
o
s
t
o
f
t
h
e
m
i
n
ter
es
ted
in
t
w
o
m
ater
ial
r
eso
u
r
ce
s
:
(
o
p
er
atin
g
r
o
o
m
s
a
n
d
b
ed
s
)
.
On
e
ex
ce
p
tio
n
is
t
h
e
s
t
u
d
y
o
f
B
er
q
u
ed
i
ch
et
al
[
1
4
]
w
h
ic
h
u
s
ed
th
e
ar
ti
f
icial
i
m
m
u
n
e
s
y
s
te
m
as
a
d
ec
is
io
n
s
u
p
p
o
r
t
to
o
l
to
m
a
n
ag
e
t
h
e
allo
ca
tio
n
o
f
n
ec
ess
ar
y
r
eso
u
r
ce
s
d
u
r
in
g
a
ten
s
io
n
s
itu
a
tio
n
.
T
h
is
m
et
h
o
d
is
b
ased
o
n
th
e
af
f
in
it
y
o
f
ea
ch
ca
s
e
w
it
h
r
esp
ec
t
to
t
h
e
av
ailab
le
s
o
lu
tio
n
s
to
ass
ig
n
t
h
e
m
o
s
t
s
u
itab
le
o
n
e.
Ou
r
r
esear
ch
ai
m
i
s
to
s
u
g
g
e
s
t
a
s
o
lu
tio
n
f
o
r
th
e
d
ec
is
io
n
m
ak
er
i
n
t
h
e
Mo
r
o
cc
an
h
o
s
p
i
tal
to
s
av
e
liv
es a
n
d
eli
m
in
ate
d
i
s
ab
ilit
y
i
n
n
at
u
r
al
an
d
h
u
m
a
n
d
is
aster
s
s
itu
a
tio
n
s
u
s
in
g
t
h
e
f
o
llo
w
i
n
g
:
a.
R
eo
r
g
a
n
ize
t
h
e
m
an
a
g
e
m
e
n
t p
r
o
ce
s
s
o
f
v
icti
m
s
.
b.
E
s
ti
m
a
te
th
e
h
o
s
p
ital
h
u
m
a
n
’
s
r
eso
u
r
ce
s
(
d
o
cto
r
s
,
n
u
r
s
es
,
)
an
d
m
ater
ial
r
eso
u
r
ce
s
(
b
ed
s
,
o
p
er
atin
g
r
o
o
m
s
...
)
ac
co
r
d
in
g
to
th
e
n
u
m
b
er
o
f
v
icti
m
s
an
d
t
h
e
av
aila
b
le
r
eso
u
r
ce
s
.
c.
Ma
k
e
a
d
ec
is
io
n
s
u
p
p
o
r
t to
o
l f
o
r
th
e
h
o
s
p
ital
m
a
n
a
g
er
s
.
I
n
ad
d
itio
n
,
th
is
ar
ticle
w
i
ll
ad
d
r
ess
th
e
p
r
o
b
le
m
o
f
lac
k
o
f
r
eso
u
r
ce
s
a
n
d
p
r
o
p
o
s
e
s
o
lu
tio
n
s
f
o
r
r
esizin
g
e
m
er
g
e
n
c
y
d
ep
ar
t
m
e
n
ts
.
T
h
ese
s
o
l
u
tio
n
s
co
n
s
i
s
t
in
s
u
g
g
esti
n
g
a
h
y
b
r
id
h
e
u
r
i
s
tic
al
g
o
r
ith
m
th
a
t
i
m
p
r
o
v
e
an
o
t
h
er
h
y
b
r
id
g
e
n
eti
c
alg
o
r
ith
m
(
G
A
)
.
T
h
ese
alg
o
r
ith
m
s
u
s
e
t
w
o
i
n
p
u
t
s
:
a.
T
h
e
m
atr
i
x
o
f
s
o
lu
t
io
n
s
p
r
o
p
o
s
ed
b
y
s
i
m
u
latio
n
u
s
i
n
g
Op
tQ
u
est
AR
E
N
A
as
th
eo
r
etica
l
n
ee
d
s
ac
co
r
d
in
g
th
e
n
e
w
p
r
o
p
o
s
ed
p
r
o
ce
s
s
.
b.
T
h
e
s
o
lu
tio
n
p
r
o
p
o
s
ed
b
y
Neu
r
al
Net
w
o
r
k
s
(
NN)
b
ased
o
n
ex
p
er
ien
ce
s
f
ee
d
b
ac
k
.
T
h
is
s
tu
d
y
a
n
d
s
i
m
u
la
tio
n
s
o
f
o
u
r
task
s
w
a
s
in
co
llab
o
r
atio
n
w
it
h
Mo
h
a
m
m
ed
(
V)
h
o
s
p
ital
in
C
a
s
ab
lan
ca
cit
y
in
Mo
r
o
cc
o
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
e
m
e
th
o
d
o
lo
g
y
u
s
ed
is
a
h
y
b
r
id
al
g
o
r
ith
m
s
(
G
A
an
d
H
A
)
.
T
h
is
m
et
h
o
d
is
a
b
len
d
i
n
g
b
et
w
ee
n
th
e
s
i
m
u
latio
n
(
A
R
E
N
A
)
a
n
d
m
ac
h
i
n
e
lear
n
i
n
g
u
s
i
n
g
NN.
T
h
e
s
i
m
u
latio
n
o
f
o
u
r
p
r
o
p
o
s
ed
p
r
o
ce
s
s
co
n
tr
ib
u
ted
a
m
atr
i
x
o
f
t
h
eo
r
y
s
o
lu
tio
n
s
.
T
h
is
m
atr
ix
i
s
th
e
f
ir
s
t
in
p
u
t
f
o
r
t
h
e
h
y
b
r
id
al
g
o
r
ith
m
s
.
T
h
e
m
ac
h
i
n
e
lear
n
in
g
u
s
i
n
g
NN
i
s
th
e
to
o
l
w
it
h
w
h
ic
h
w
e
g
e
n
er
ate
a
s
o
lu
tio
n
t
h
at
b
ased
o
n
ex
p
er
ien
ce
s
f
ee
d
b
ac
k
.
T
h
is
s
o
lu
tio
n
i
s
t
h
e
s
ec
o
n
d
i
n
p
u
t
a
s
a
n
e
v
al
u
atio
n
v
ec
to
r
f
o
r
t
h
e
h
y
b
r
id
al
g
o
r
ith
m
s
.
T
h
e
c
h
o
ice
o
f
th
e
s
e
alg
o
r
ith
m
s
a
i
m
s
to
h
a
v
e
a
b
est
s
o
lu
tio
n
b
et
w
ee
n
th
e
th
e
o
r
etica
l
n
ee
d
s
an
d
t
h
e
ex
p
er
i
en
ce
s
f
ee
d
b
ac
k
th
a
t
r
ef
lects
t
h
e
a
v
ailab
le
r
eso
u
r
c
es,
w
h
ic
h
ap
p
lied
in
s
i
m
ilar
ca
s
es.
T
h
e
id
ea
is
to
s
u
g
g
es
t
a
r
ea
lis
tic
s
o
l
u
tio
n
b
ased
o
n
th
e
av
ailab
le
r
eso
u
r
c
es.
T
h
is
m
eth
o
d
h
a
v
e
b
ee
n
r
ec
o
m
m
e
n
d
ed
b
y
Mo
h
a
m
ed
(
V)
h
o
s
p
ital
m
a
n
ag
er
s
b
ec
au
s
e
it
co
m
b
i
n
es
t
h
eo
r
y
a
n
d
r
ea
l
p
r
ac
tice
(
f
ee
d
b
ac
k
)
to
p
r
o
d
u
ce
a
f
ea
s
i
b
le
an
d
e
f
f
ec
ti
v
e
s
o
lu
tio
n
i
n
o
r
d
er
to
s
av
e
th
e
m
a
x
i
m
u
m
n
u
m
b
er
o
f
v
icti
m
s
w
it
h
in
a
r
ea
s
o
n
ab
le
ti
m
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
10
,
No
.
1
,
Feb
r
u
ar
y
2
0
2
0
:
1
0
0
6
-
1
0
1
6
1008
3.
T
H
E
DIFF
E
R
E
NT
L
E
VE
L
S O
F
E
XCEP
T
I
O
NA
L
S
I
T
UATI
O
N
S
T
h
e
m
a
s
s
i
v
e
i
n
f
lu
x
o
f
v
icti
m
s
i
s
th
e
ar
r
i
v
al
o
f
a
lar
g
e
n
u
m
b
er
o
f
v
icti
m
s
f
o
r
th
e
s
a
m
e
ca
u
s
e
,
o
r
f
o
llo
w
i
n
g
d
if
f
er
e
n
t
ca
u
s
e
s
,
ex
ce
p
t
t
h
at
i
n
t
h
e
f
ir
s
t
ca
s
e
th
e
E
D
is
s
u
p
p
o
s
ed
to
r
ec
eiv
e
i
n
ad
d
itio
n
to
th
e
v
ic
ti
m
s
,
th
e
ir
f
a
m
ilie
s
,
th
e
m
ed
ias
an
d
o
f
co
u
r
s
e
th
e
a
u
th
o
r
ities
.
W
h
en
th
er
e
i
s
a
m
as
s
i
v
e
in
f
l
u
x
o
f
v
ict
i
m
s
i
n
a
H
C
,
th
e
n
o
r
m
a
l
s
it
u
atio
n
o
f
th
e
E
D
is
tr
a
n
s
f
o
r
m
ed
i
n
to
a
ten
s
io
n
o
r
a
cr
is
is
.
T
h
ese
le
v
els
o
f
s
it
u
atio
n
s
ar
e
class
i
f
ied
ac
co
r
d
in
g
to
t
h
e
c
h
ar
g
e/ca
p
ac
it
y
r
at
io
o
f
t
h
e
HC
w
h
ic
h
d
e
f
i
n
es
t
h
e
n
ee
d
i
n
h
u
m
a
n
a
n
d
m
ater
ial
r
eso
u
r
ce
s
n
ec
e
s
s
ar
y
to
r
etu
r
n
t
o
th
e
n
o
r
m
al
s
itu
a
tio
n
[
1
5
]
.
T
h
e
m
ai
n
f
ac
to
r
s
th
at
ca
n
af
f
e
ct
th
e
ch
ar
g
e
/cap
ac
it
y
r
atio
ar
e:
a.
T
h
e
f
ac
to
r
s
r
elate
d
to
th
e
n
u
m
b
er
o
f
v
icti
m
s
r
ec
eiv
ed
b
y
t
h
e
H
C
.
b.
T
h
e
f
ac
to
r
s
r
elate
d
to
th
e
s
k
ill
s
o
f
h
u
m
an
r
eso
u
r
ce
s
(
f
ee
d
b
ac
k
o
n
ex
p
er
ie
n
ce
s
,
tr
ain
in
g
an
d
s
o
o
n
)
.
c.
I
n
ter
n
al
a
n
d
ex
ter
n
a
l tr
an
s
f
er
c
ap
ac
it
y
(
av
ailab
ilit
y
o
f
d
o
w
n
s
t
r
ea
m
ca
r
e
s
er
v
ices)
[
1
6
]
.
4.
P
RO
CE
SS
M
ANAG
E
M
E
NT
I
N
T
H
E
CAS
E
O
F
A
M
A
SS
I
V
E
I
NF
L
UX
O
F
VIC
T
I
M
S
4
.
1
.
Curre
nt
pro
ce
s
s
m
a
na
g
e
m
e
nt
w
it
hin
t
he
M
o
ha
mm
ed
V
H
P
C
A
t
t
h
e
o
cc
u
r
r
e
n
ce
o
f
a
te
n
s
io
n
o
r
ex
ce
p
tio
n
al
s
i
tu
at
io
n
,
t
h
e
p
lan
ca
l
led
th
e
Ho
s
p
ital
E
m
er
g
en
c
y
P
lan
(
HE
P
)
o
f
Mo
h
a
m
m
ed
V
H
C
co
n
s
i
s
ts
to
cr
ea
te
a
c
o
o
r
d
in
a
tio
n
an
d
c
o
m
m
an
d
team
,
le
d
b
y
th
e
p
r
ef
ec
tu
r
al
au
th
o
r
ity
.
A
t
th
e
a
r
r
iv
al
o
f
th
e
v
ict
im
s
,
th
e
team
m
e
m
b
er
s
s
tar
t
t
o
r
e
ce
iv
e
,
g
u
i
d
e
an
d
r
eg
is
te
r
th
e
v
i
ctim
s
.
T
h
en
,
th
ey
b
eg
in
th
e
t
r
iag
e
a
n
d
o
r
ien
t
ati
o
n
o
p
e
r
ati
o
n
o
f
v
i
ctim
s
f
o
r
tr
e
atm
en
t
ac
c
o
r
d
in
g
to
th
ei
r
em
er
g
en
cy
d
eg
r
ee
s
(
r
ela
tiv
e
em
er
g
en
cy
,
ab
s
o
lu
t
e
em
er
g
en
cy
)
.
D
ea
th
C
ases
ar
e
p
l
ac
e
d
in
th
e
m
o
r
g
u
e
[
2
]
.
T
h
e
F
ig
u
r
e
1
s
u
m
m
ar
izes t
h
e
p
r
o
ce
s
s
es o
r
g
an
izatio
n
i
n
t
h
e
ev
e
n
t o
f
a
m
as
s
iv
e
i
n
f
lu
x
o
f
v
icti
m
s
.
Fig
u
r
e
1.
Or
g
an
izatio
n
ch
ar
t
with
v
icti
m
’
s
cir
cu
i
t a
p
p
licab
le
to
cr
is
is
s
it
u
atio
n
s
at
C
H
Mo
h
a
m
m
ed
5
Dep
en
d
in
g
o
n
t
h
e
ca
ta
s
tr
o
p
h
ic
(
ex
ce
p
tio
n
al)
s
it
u
atio
n
,
t
y
p
e
a
n
d
n
u
m
b
er
o
f
v
icti
m
s
,
th
e
HE
P
en
v
i
s
a
g
es t
w
o
m
aj
o
r
s
ce
n
ar
io
s
:
a.
P
lan
A
i
s
th
e
ca
s
e
w
h
e
n
th
e
ce
n
ter
r
ec
eiv
es
eit
h
er
m
o
r
e
t
h
an
t
w
e
n
t
y
v
icti
m
s
i
n
a
s
er
io
u
s
ca
s
e
o
r
f
i
f
t
y
v
icti
m
s
o
f
an
y
s
e
v
er
it
y
.
b.
P
lan
B
is
th
e
ca
s
e
w
h
en
t
h
e
ce
n
ter
r
ec
eiv
es
eit
h
er
f
i
v
e
s
er
io
u
s
v
ict
i
m
s
r
eq
u
ir
i
n
g
i
m
m
ed
iate
tr
ea
t
m
en
t
(
Su
ch
a
s
s
u
r
g
ical
ca
s
es o
r
r
esp
ir
ato
r
y
d
is
tr
e
s
s
)
o
r
ten
v
ict
i
m
s
o
f
an
y
s
e
v
er
it
y
.
A
cc
o
r
d
in
g
to
th
e
s
e
t
w
o
s
ce
n
a
r
io
s
,
w
e
n
o
ticed
t
h
at
t
h
e
tr
iag
e
is
d
o
n
e
at
th
e
H
C
.
I
n
ad
d
itio
n
,
th
er
e
ar
e
t
w
o
lev
els
o
f
tr
ia
g
e
w
h
ic
h
t
h
e
r
ela
tiv
e
e
m
er
g
e
n
c
y
an
d
t
h
e
ab
s
o
l
u
te
e
m
er
g
e
n
c
y
,
also
t
h
er
e
is
n
o
v
is
io
n
to
p
r
ed
ict
th
e
n
ee
d
ed
r
eso
u
r
ce
s
ac
co
r
d
in
g
to
th
e
v
icti
m
’
s
n
u
m
b
er
.
4
.
2
.
P
ro
po
s
ed
pro
ce
s
s
o
rg
a
niza
t
io
n
4
.
2
.
1
.
P
ro
po
s
ed
t
ria
g
e
o
f
v
ict
i
m
s
T
h
e
tr
iag
e
o
p
er
atio
n
is
a
k
e
y
s
tep
to
b
etter
m
a
n
a
g
e
t
h
e
v
i
cti
m
s
h
a
n
d
li
n
g
,
it
id
en
ti
f
ies
t
h
e
o
r
d
er
in
w
h
ic
h
v
ic
ti
m
s
s
h
o
u
ld
b
e
ev
ac
u
ated
an
d
tr
ea
ted
f
o
llo
w
i
n
g
t
h
e
e
m
er
g
e
n
c
y
d
e
g
r
ee
s
to
s
a
v
e
a
m
ax
i
m
u
m
n
u
m
b
er
o
f
v
icti
m
s
.
T
h
is
o
p
er
atio
n
d
ete
r
m
in
e
s
:
a.
T
h
e
co
n
d
it
io
n
an
d
th
e
em
er
g
e
n
cy
d
eg
r
ee
s
o
f
v
ictim
s
.
b.
T
h
e
ev
ac
u
a
ti
o
n
p
r
io
r
i
ty
to
th
e
HC
.
c.
T
h
e
d
eg
r
e
e
o
f
th
e
tr
ea
tm
en
t
p
r
i
o
r
ity
th
at
s
h
o
u
l
d
f
o
ll
o
w
.
d.
Fo
r
th
is
p
u
r
p
o
s
e,
th
er
e
ar
e
s
ev
er
al
s
ca
les an
d
m
o
d
els
f
o
r
clas
s
if
y
i
n
g
v
icti
m
s
[
1
7
]
.
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:
2
0
8
8
-
8708
A
h
yb
r
id
a
lg
o
r
ith
m
to
s
iz
e
th
e
h
o
s
p
ita
l res
o
u
r
ce
s
in
th
e
ca
s
e
o
f a
ma
s
s
ive
..
.
(
A
b
d
err
a
h
ma
n
e
B
en
K
a
ce
m)
1009
T
ak
in
g
in
to
ac
co
u
n
t
t
h
e
s
e
d
i
f
f
er
en
t
tr
iag
e
s
ca
le
s
[
1
8
-
20]
an
d
i
n
co
n
s
u
ltatio
n
w
it
h
C
H
m
a
n
a
g
er
s
,
w
e
p
r
o
p
o
s
ed
a
f
iv
e
e
m
er
g
e
n
c
y
le
v
el
s
m
o
d
el.
A
t
ea
c
h
lev
el
w
e
h
a
v
e
as
s
o
ciate
d
a
co
lo
r
f
r
o
m
t
h
e
m
o
s
t
u
r
g
e
n
t
ca
s
e
(
r
ed
)
to
th
e
less
u
r
g
en
t
ca
s
e
(
b
lu
e)
,
in
o
r
d
er
to
s
av
e
a
lar
g
e
n
u
m
b
er
o
f
v
icti
m
s
as
p
o
s
s
ib
le
an
d
to
s
a
v
e
ti
m
e
f
o
r
th
e
av
ailab
le
r
eso
u
r
ce
s
.
Ou
r
p
r
o
p
o
s
itio
n
s
u
g
g
e
s
ts
t
h
at
th
e
tr
ia
g
e
s
h
o
u
ld
b
e
co
n
d
u
cted
at
th
e
in
cid
en
t
s
ite
to
av
o
id
p
r
io
r
itizin
g
le
s
s
u
r
g
en
t c
ase
[
1
5
]
.
T
h
e
T
ab
le
1
s
u
m
m
ar
ize
s
th
e
p
r
o
p
o
s
ed
tr
iag
e
m
o
d
el.
T
ab
le
1
.
E
m
er
g
e
n
c
y
le
v
el
s
f
r
o
m
1
to
5
Eme
r
g
e
n
c
y
l
e
v
e
l
s
C
o
l
o
r
s
S
t
a
t
u
s
R
e
c
o
mm
e
n
d
e
d
t
i
me
f
r
a
me
D
e
a
d
v
i
c
t
i
ms
B
l
a
c
k
N
e
u
r
o
l
o
g
i
c
a
l
D
e
a
t
h
i
m
p
a
i
r
me
n
t
(
c
o
ma,
b
i
l
a
t
e
r
a
l
my
d
r
i
a
si
s)
M
o
r
g
u
e
1
:
I
mm
e
d
i
a
t
e
R
e
d
F
a
i
l
u
r
e
o
f
o
n
e
v
i
t
a
l
f
u
n
c
t
i
o
n
a
t
l
e
a
st
(
n
e
u
r
o
l
o
g
i
c
a
l
,
c
a
r
d
i
a
c
,
r
e
sp
i
r
a
t
o
r
y
)
I
mm
e
d
i
a
t
e
2
:
V
e
r
y
u
r
g
e
n
t
O
r
a
n
g
e
U
n
st
a
b
l
e
v
i
c
t
i
m (
h
e
mo
r
r
h
a
g
e
,
C
T
,
v
i
s
c
e
r
a
l
d
a
mag
e
,
b
u
r
n
s,
g
a
s
p
o
i
so
n
i
n
g
)
5
M
u
n
i
t
e
s ma
x
3
:
U
r
g
e
n
t
Y
e
l
l
o
w
V
i
c
t
i
m w
i
t
h
a
w
o
u
n
d
M
u
sc
u
l
o
sk
e
l
e
t
a
l
i
n
j
u
r
y
(
f
r
a
c
t
u
r
e
s)
2
0
M
u
n
i
t
e
s
4
:
L
e
ss u
r
g
e
n
t
G
r
e
e
n
S
t
a
b
l
e
v
i
c
t
i
m
n
o
e
me
r
g
e
n
c
y
b
u
t
r
e
q
u
i
r
e
s a
n
a
s
se
ssm
e
n
t
6
0
M
u
n
i
t
e
s
5
:
N
o
-
u
r
g
e
n
t
B
l
u
e
C
a
n
b
e
t
r
e
a
t
e
d
o
n
t
h
e
a
c
c
i
d
e
n
t
s
i
t
e
T
r
e
a
t
me
n
t
o
u
t
s
i
d
e
H
C
4
.
2
.
2
.
P
ro
ce
s
s
o
rg
a
niza
t
io
n
A
t
th
e
o
cc
u
r
r
en
ce
o
f
a
n
e
x
ce
p
tio
n
al
s
itu
a
tio
n
,
t
h
e
H
C
cr
ea
te
s
a
lo
ca
l
r
e
g
u
la
tio
n
p
o
s
t
w
h
o
s
e
m
i
s
s
io
n
is
to
co
m
m
u
n
icate
t
h
e
i
n
f
o
r
m
atio
n
r
ec
eiv
ed
to
t
h
e
De
le
g
ate,
t
h
e
Dir
ec
to
r
o
f
th
e
H
C
an
d
th
e
h
ea
d
s
o
f
d
ep
ar
tm
e
n
ts
(
n
u
r
s
i
n
g
,
m
ed
ical,
ad
m
i
n
is
tr
ati
v
e
)
,
al
s
o
o
f
th
e
cit
y
'
s
o
th
er
HC
.
W
h
en
a
te
n
s
i
o
n
/
cr
is
i
s
s
it
u
atio
n
o
cc
u
r
s
,
it
is
ess
en
t
ial
f
o
r
u
s
to
ap
p
licate
th
e
E
HP
in
o
r
d
e
r
to
r
ec
o
n
f
ig
u
r
e
th
e
HC
b
ef
o
r
e
th
e
ar
r
iv
al
o
f
th
e
f
ir
s
t
v
icti
m
s
(
p
o
s
s
ib
l
y
f
a
m
ilies
,
t
h
e
m
ed
ia
an
d
t
h
e
au
t
h
o
r
ities
)
.
At
th
e
ac
cid
en
t
s
ite,
t
h
e
tr
iag
e
o
p
er
atio
n
s
tar
ts
,
it
is
d
o
n
e
b
y
a
n
e
m
er
g
en
c
y
d
o
cto
r
an
d
em
er
g
e
n
c
y
o
r
s
tate
n
u
r
s
es.
T
h
e
g
o
al
is
to
i
d
en
ti
f
y
f
i
r
s
t
th
e
m
o
s
t
u
r
g
en
t
ca
s
es
th
at
n
ee
d
an
i
m
m
ed
iate
tr
ea
t
m
e
n
t
an
d
at
th
e
last
ti
m
e
th
o
s
e
th
a
t
ar
e
less
u
r
g
e
n
t.
No
n
-
u
r
g
en
t
ca
s
e
s
w
ill
b
e
h
an
d
led
o
n
th
e
ac
cid
en
t
s
ite
to
d
o
n
o
t
clu
tter
u
p
th
e
C
H.
I
f
t
h
e
ca
p
ac
it
y
o
f
t
h
e
HC
is
r
ea
c
h
ed
,
th
e
r
e
m
ai
n
i
n
g
v
ic
ti
m
s
m
u
s
t b
e
o
r
ien
ted
to
th
e
n
ea
r
est H
C
.
T
h
e
d
if
f
e
r
en
t
s
te
p
t
o
m
an
ag
e
a
n
ex
ce
p
t
io
n
al
s
itu
at
io
n
a
r
e
as
f
o
ll
o
w
s
:
1)
On
t
h
e
ac
cid
en
t si
te:
a.
Fra
m
i
n
g
a
n
d
d
is
tr
ib
u
tio
n
o
f
t
h
e
ac
cid
en
t sit
e.
b.
C
o
n
s
u
lti
n
g
an
d
tr
ia
g
e
o
f
v
ic
ti
m
s
ac
co
r
d
in
g
to
th
e
f
iv
e
le
v
el
s
p
r
o
p
o
s
ed
to
b
etter
o
r
ien
t th
em
.
c.
I
d
en
tify
i
n
g
t
h
e
v
icti
m
s
b
y
t
h
e
lab
els th
at
i
n
d
icate
th
e
ir
e
m
er
g
en
c
y
le
v
el.
d.
L
es
s
u
r
g
en
t a
n
d
n
o
n
-
u
r
g
e
n
t
v
i
cti
m
s
s
h
o
u
ld
b
e
m
o
n
ito
r
ed
.
2)
B
ef
o
r
e
th
e
ar
r
iv
al
o
f
th
e
v
i
ctim
s
at
th
e
HC
:
a.
T
h
e
HC
m
u
s
t b
e
ev
a
cu
at
ed
.
b.
Pre
p
a
r
e
th
e
o
p
e
r
at
in
g
r
o
o
m
s
,
b
ed
s
,
eq
u
ip
m
en
t a
n
d
n
ec
ess
ar
y
m
ater
ials
t
o
tr
ea
t v
i
ctim
s
.
3)
A
t t
h
e
ar
r
iv
al
o
f
th
e
v
icti
m
s
at
th
e
HC
:
a.
T
r
ea
t th
em
f
o
llo
w
i
n
g
t
h
eir
e
m
er
g
en
c
y
lev
e
ls
.
b.
A
llo
ca
te
t
h
e
n
ec
e
s
s
ar
y
h
u
m
an
an
d
m
ater
ial
r
eso
u
r
ce
s
f
o
r
ea
c
h
ca
s
e.
4)
C
o
m
m
u
n
ica
te
in
f
o
r
m
atio
n
in
r
ea
l ti
m
e
to
th
e
lo
ca
l
r
eg
u
lat
io
n
p
o
s
t in
all
s
tep
s
o
f
t
h
e
p
r
o
ce
s
s
.
T
h
e
F
ig
u
r
e
2
s
u
m
m
ar
izes t
h
e
p
r
o
p
o
s
ed
p
r
o
ce
s
s
m
a
n
ag
e
m
e
n
t
:
Fig
u
r
e
1
.
Victi
m
’
s
p
r
o
ce
s
s
m
a
n
ag
e
m
e
n
t
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
10
,
No
.
1
,
Feb
r
u
ar
y
2
0
2
0
:
1
0
0
6
-
1
0
1
6
1010
5.
I
M
P
L
E
M
E
NT
AT
I
O
N
A
ND
RE
SU
L
T
S
Sizin
g
o
f
h
u
m
a
n
a
n
d
m
ater
ial
r
eso
u
r
ce
s
is
t
h
e
s
ec
o
n
d
s
tep
af
ter
t
h
e
tr
ia
g
e
o
p
er
atio
n
,
i
n
t
h
is
s
ta
g
e,
th
e
H
C
m
a
n
ag
er
s
s
h
o
u
ld
h
a
v
e
a
d
ec
is
io
n
s
u
p
p
o
r
t
to
o
l
th
at
g
iv
e
t
h
e
m
a
n
id
ea
ab
o
u
t
th
e
n
u
m
b
er
o
f
r
eso
u
r
ce
s
n
ee
d
ed
to
tr
ea
t
v
ict
i
m
s
.
T
o
th
i
s
en
d
,
w
e
p
r
o
p
o
s
ed
a
th
r
ee
h
y
b
r
id
alg
o
r
ith
m
s
t
h
at
co
m
b
in
e
b
et
w
ee
n
s
i
m
u
latio
n
an
d
ex
p
er
ien
ce
f
ee
d
b
ac
k
.
5
.
1
.
Sizin
g
t
he
ho
s
pita
l r
eso
urce
s
ba
s
ed
o
n a
s
i
m
ula
t
io
n by
A
RE
NA
s
o
f
t
w
a
re
T
h
e
s
i
m
u
latio
n
i
s
o
n
e
o
f
m
o
s
t
u
s
ed
s
o
l
u
tio
n
to
s
o
lv
e
s
i
zin
g
p
r
o
b
lem
s
.
I
n
t
h
is
r
e
g
ar
d
,
w
e
u
s
ed
AR
E
N
A
s
o
f
t
w
ar
e
b
ec
au
s
e
it
m
ak
e
s
i
t p
o
s
s
ib
le
to
g
et
a
s
tr
u
ctu
r
e
o
f
th
e
s
o
f
t
w
ar
e
m
o
d
el
s
a
m
e
to
t
h
at
o
f
th
e
r
ea
l
s
y
s
te
m
to
b
e
s
i
m
u
lated
.
I
n
ad
d
itio
n
,
it
h
as
Op
t
Q
u
es
t
to
o
l
t
h
at
g
i
v
es
u
s
t
h
e
o
p
p
o
r
tu
n
it
y
f
o
r
s
izin
g
r
eso
u
r
ce
s
.
T
h
e
F
ig
u
r
e
3
r
ep
r
esen
ts
t
h
e
AR
E
N
A
m
o
d
el
o
f
o
u
r
m
a
n
ag
e
m
en
t p
r
o
ce
s
s
o
f
v
icti
m
s
.
Fig
u
r
e
2
.
T
h
e
A
R
E
N
A
m
o
d
el
o
f
o
u
r
p
r
o
p
o
s
ed
p
r
o
ce
s
s
m
a
n
a
g
e
m
e
n
t o
f
v
ict
i
m
s
T
h
e
co
n
f
ig
u
r
atio
n
o
f
th
e
d
i
f
f
er
en
t
b
lo
ck
p
ar
a
m
eter
s
w
as
c
ar
r
ied
o
u
t
in
co
n
s
u
ltatio
n
w
it
h
th
e
H
C
m
an
a
g
er
s
i
n
o
r
d
er
to
ca
p
ita
lize
o
n
th
eir
ex
p
er
ien
ce
s
.
S
o
th
at,
w
e
u
s
ed
A
r
en
a
s
o
f
t
w
ar
e
v
er
s
io
n
1
1
,
th
e
C
ap
ac
it
y
r
eso
u
r
ce
s
o
f
t
h
e
HC
as
a
co
n
s
tr
ai
n
ts
a
n
d
th
e
n
u
m
b
er
o
f
v
icti
m
s
a
s
an
i
n
p
u
t.
T
h
e
s
izi
n
g
o
f
th
e
r
eso
u
r
ce
s
p
r
o
v
id
ed
t
h
e
r
es
u
lts
i
n
T
ab
le
2
.
T
o
g
et
t
h
e
b
es
t
m
atr
i
x
o
f
s
o
lu
tio
n
,
w
e
m
ad
e
m
an
y
s
i
m
u
latio
n
s
.
T
h
e
b
est s
o
lu
tio
n
is
t
h
e
li
n
e
i
n
b
lu
e.
I
n
o
r
d
er
to
i
m
p
r
o
v
e
th
e
s
e
r
esu
lt
s
,
w
e
u
s
ed
th
e
m
a
s
t
h
e
in
p
u
t
m
atr
i
x
o
f
o
u
r
to
w
h
y
b
r
id
alg
o
r
ith
m
s
p
r
o
p
o
s
ed
in
th
i
s
ar
ticle
.
T
ab
le
2.
R
esu
lts
o
f
s
i
m
u
latio
n
b
y
AR
E
N
A
s
o
f
t
w
ar
e
5
.
2
.
Sizin
g
t
he
ho
s
pita
l r
eso
urce
s
ba
s
ed
o
n neura
l net
w
o
rk
s
I
n
o
r
d
er
to
p
r
o
p
o
s
e
an
ef
f
ec
ti
v
en
e
s
s
d
ec
is
io
n
s
u
p
p
o
r
t
to
o
l,
w
e
u
s
ed
NN
as
to
o
l
o
f
m
ac
h
i
n
e
lear
n
in
g
to
p
r
o
d
u
ce
a
s
o
lu
tio
n
b
ased
o
n
e
x
p
e
rien
c
e
f
e
e
d
b
a
c
k
,
th
is
i
d
ea
aim
s
to
r
ef
er
to
r
eso
u
r
ce
s
u
s
ed
in
th
e
r
ea
l
ex
p
er
ien
ce
s
.
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:
2
0
8
8
-
8708
A
h
yb
r
id
a
lg
o
r
ith
m
to
s
iz
e
th
e
h
o
s
p
ita
l res
o
u
r
ce
s
in
th
e
ca
s
e
o
f a
ma
s
s
ive
..
.
(
A
b
d
err
a
h
ma
n
e
B
en
K
a
ce
m)
1011
5
.
2
.
1
.
Alg
o
rit
h
m
a
rc
hite
ct
ur
e
Fig
u
r
e
4
s
h
o
w
n
th
e
n
eu
r
al
n
et
w
o
r
k
a
r
c
h
itect
u
r
e
.
Fig
u
r
e
4.
Neu
r
al
n
et
w
o
r
k
ar
c
h
itectu
r
e
5
.
2
.
2
.
D
escript
io
n o
f
o
ur
a
lg
o
rit
h
m
1.
C
o
llecti
n
g
d
ata
f
r
o
m
ex
p
er
ien
ce
f
ee
d
b
ac
k
.
2.
Div
id
i
n
g
t
h
e
d
ata
in
to
t
w
o
g
r
o
u
p
s
,
g
r
o
u
p
A
co
n
tain
s
7
0
%
o
f
t
h
e
d
ata
a
n
d
g
r
o
u
p
B
co
n
tain
s
3
0
%
o
f
th
e
d
ata,
th
i
s
ch
o
ice
h
a
s
b
ee
n
v
alid
ated
af
ter
s
e
v
er
al
test
s
to
h
elp
th
e
NN
to
tr
ai
n
w
ell
o
n
t
h
e
d
ata.
3.
L
ea
r
n
i
n
g
o
f
NN
i
n
t
h
r
ee
s
tep
s
,
tr
ain
in
g
s
tep
,
tes
t step
an
d
v
al
id
atio
n
s
tep
.
4.
I
n
t
h
is
p
r
o
p
o
s
itio
n
,
t
h
e
tr
ai
n
in
g
an
d
test
p
h
ase
s
w
er
e
d
o
n
e
b
y
th
e
g
r
o
u
p
A
d
ata,
f
o
r
th
i
s
w
e
u
s
ed
th
e
alg
o
r
it
h
m
o
f
t
h
e
g
r
ad
ien
t d
escen
t a
n
d
th
e
p
r
o
ce
d
u
r
e
o
f
th
e
K
-
FO
L
D
cr
o
s
s
v
alid
atio
n
[
2
1
]
5.
C
alcu
lati
n
g
o
f
t
h
e
p
er
f
o
r
m
a
n
c
e
in
d
icato
r
s
o
f
th
e
al
g
o
r
ith
m
.
6.
Dis
p
la
y
i
n
g
th
e
s
o
lu
tio
n
.
T
h
e
s
izin
g
o
f
t
h
e
r
eso
u
r
ce
s
co
n
tr
ib
u
ted
t
h
e
f
o
llo
w
i
n
g
r
esu
lt i
n
T
ab
le
3
.
T
h
e
o
b
tain
ed
r
esu
lt
co
n
s
tit
u
t
e
th
e
ev
al
u
atio
n
v
ec
to
r
f
o
r
o
u
r
t
h
r
ee
h
y
b
r
id
alg
o
r
it
h
m
s
.
T
ab
le
3
.
R
esu
lt o
f
NN
N
e
u
r
a
l
n
e
t
w
o
r
k
so
l
u
t
i
o
n
(
N
N
)
A
mb
u
l
a
n
c
e
s
S
u
r
g
i
c
a
l
s
N
u
r
se
s
N
u
r
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[
2
2
-
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
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8708
I
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t J
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1
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[
2
7
-
29]
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a.
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ter
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to
p
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T
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o
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m
w
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ll
s
to
p
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n
th
e
f
it
n
es
s
co
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ld
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t b
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p
tim
ized
.
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:
2
0
8
8
-
8708
A
h
yb
r
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a
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ith
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to
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[
6
,
14]
co
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s
id
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in
g
t
h
e
av
ai
lab
le
r
eso
u
r
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s
in
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p
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C
en
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6
.
CO
NCLU
SI
O
N
Ou
r
r
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is
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h
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in
th
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s
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f
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w
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p
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p
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t
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s
ti
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th
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y
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7
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a
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d
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2
7
in
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f
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s
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ith
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d
in
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n
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n
s
u
s
p
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ted
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is
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s
.
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n
p
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s
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w
e
w
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f
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a
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k
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,
esp
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m
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t
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m
s
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a
s
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le
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is
li
m
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n
t
h
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h
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n
d
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w
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th
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u
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all
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ad
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ts
RE
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R
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NC
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S
[1
]
OMS
,
“
S
ix
-
y
e
a
r
W
HO
stra
te
g
ic p
lan
t
o
re
d
u
c
e
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im
p
a
c
t
o
f
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e
n
c
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a
n
d
d
isa
ste
rs (
in
F
re
n
c
h
)
,
”
2
0
1
9
.
[2
]
M
in
ister
o
f
He
a
lt
h
,
“
Em
e
r
g
e
n
c
y
Ho
sp
it
a
l
P
lan
,
”
2
0
1
8
.
[3
]
F
.
Ja
wa
b
,
e
t
a
l
.
,
“
Ho
sp
it
a
l
L
o
g
isti
c
s
A
c
ti
v
it
ies
,
”
Pro
c
e
e
d
in
g
s
o
f
th
e
In
ter
n
a
t
io
n
a
l
Co
n
fer
e
n
c
e
o
n
In
d
u
stria
l
En
g
i
n
e
e
rin
g
a
n
d
O
p
e
ra
ti
o
n
s M
a
n
a
g
e
me
n
t
,
p
p
.
3
2
2
8
-
3
2
3
7
,
2
0
1
8
.
[4
]
F
.
Ka
d
ri,
e
t
a
l
.
,
“
T
o
w
a
rd
s
th
e
Re
sili
e
n
c
e
o
f
Ho
sp
it
a
l
Em
e
rg
e
n
c
y
S
e
rv
ice
s:
Eff
e
c
ti
v
e
M
a
n
a
g
e
m
e
n
t
o
f
Vo
lt
a
g
e
S
it
u
a
ti
o
n
s (i
n
F
re
n
c
h
)
,
”
2
0
1
4
.
[5
]
E.
P
.
C.
Ka
o
,
“
M
o
d
e
li
n
g
th
e
m
o
v
e
m
e
n
t
o
f
c
o
ro
n
a
r
y
p
a
ti
e
n
ts
w
it
h
in
a
h
o
sp
i
tal
b
y
se
m
i
-
M
a
r
k
o
v
p
ro
c
e
ss
e
s,”
Op
e
r.
Res
.
,
v
o
l.
2
2
,
p
p
.
6
8
3
-
6
9
9
,
1
9
7
4
.
[6
]
D.
J.
I.
No
u
a
o
u
ri
a
n
d
J
.
Ch
.
Ni
c
o
las
,
“
Disa
ste
r
m
a
n
a
g
e
m
e
n
t
in
Ho
sp
it
a
l:
siz
in
g
c
rit
ica
l
re
so
u
rc
e
s,”
J
.
Co
mp
u
t
.
,
v
o
l.
8
3
8
0
,
p
p
.
1
-
4
1
,
2
0
1
2
.
[7
]
M
.
L
a
m
iri
,
e
t
a
l
.
,
“
A
sto
c
h
a
stic
m
o
d
e
l
f
o
r
o
p
e
ra
ti
n
g
ro
o
m
p
lan
n
in
g
w
it
h
e
lec
ti
v
e
a
n
d
e
m
e
rg
e
n
c
y
d
e
m
a
n
d
f
o
r
su
rg
e
r
y
,
”
Eu
r.
J
.
Op
e
r.
Res
.
,
v
o
l
.
1
8
5
,
p
p
.
1
0
2
6
-
1
0
3
7
,
2
0
0
8
.
[8
]
J.
K.
Co
c
h
ra
n
a
n
d
K.
T
.
Ro
c
h
e
,
“
A
m
u
lt
i
-
c
las
s
q
u
e
u
in
g
n
e
tw
o
rk
a
n
a
l
y
sis
m
e
th
o
d
o
l
o
g
y
f
o
r
im
p
ro
v
in
g
h
o
sp
it
a
l
e
m
e
rg
e
n
c
y
d
e
p
a
rtme
n
t
p
e
rf
o
rm
a
n
c
e
,
”
Co
mp
u
t.
Op
e
r.
Res
.
,
v
o
l.
3
6
,
p
p
.
1
4
9
7
-
1
5
1
2
,
2
0
0
9
.
[9
]
T
.
Wan
g
,
e
t
a
l
.
,
“
M
o
d
e
ll
in
g
a
n
d
sim
u
latio
n
o
f
e
m
e
r
g
e
n
c
y
se
rv
ice
s
w
it
h
A
RIS
a
n
d
A
re
n
a
.
c
a
se
stu
d
y
:
T
h
e
e
m
e
rg
e
n
c
y
d
e
p
a
rtme
n
t
o
f
S
a
in
t
J
o
se
p
h
a
n
d
S
a
i
n
t
L
u
c
h
o
sp
i
tal,
”
Pr
o
d
.
P
la
n
.
C
o
n
tr
o
l
,
v
o
l.
2
0
,
p
p
.
4
8
4
-
4
9
5
,
2
0
0
9
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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1015
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J.
C.
Rid
g
e
,
e
t
a
l
.
,
“
Ca
p
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y
p
lan
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in
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o
r
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s,”
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u
r.
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.
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Res
.
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p
.
3
4
6
-
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5
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9
8
.
[1
1
]
M
.
W
.
Ca
rter
a
n
d
Jo
h
n
T
.
Blak
e
A.
,
“
A
g
o
a
l
p
ro
g
ra
m
m
in
g
a
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to
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so
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rc
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a
ll
o
c
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ti
o
n
in
a
c
u
te
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a
re
h
o
sp
i
tals,”
Eu
r.
J
.
Op
e
r.
Res
.
,
v
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l
.
1
4
0
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p
p
.
5
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1
,
2
0
0
2
.
[1
2
]
E.
Ha
n
s,
e
t
a
l
.
,
“
Ro
b
u
st su
rg
e
ry
l
o
a
d
in
g
,
”
E
u
r.
J
.
O
p
e
r.
Res
.
,
v
o
l.
1
8
5
,
p
p
.
1
0
3
8
-
1
0
5
0
,
2
0
0
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.
[1
3
]
F
.
F
ied
ric
h
,
e
t
a
l
.
,
“
O
p
ti
m
ize
d
re
so
u
rc
e
a
ll
o
c
a
ti
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n
f
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m
e
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c
y
re
sp
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n
se
a
f
ter
e
a
rth
q
u
a
k
e
d
isa
ste
rs,”
S
a
f.
S
c
i.
,
v
o
l.
3
5
,
p
p
.
4
1
-
5
7
,
2
0
0
0
.
[1
4
]
M
.
Be
rq
u
e
d
ic
h
,
e
t
a
l
.
,
“
A
g
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m
a
n
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g
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m
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t
o
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ten
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n
s
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m
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e
n
c
y
se
r
v
ice
s
u
sin
g
A
IS
tec
h
n
iq
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e
s,”
2
0
1
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I
n
t.
C
o
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lo
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.
L
o
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S
u
p
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ly
Ch
a
in
M
a
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g
.
C
o
mp
e
t.
In
n
o
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.
Au
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5
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A
.
B
.
Ka
c
e
m
,
e
t
a
l
.
,
“
T
h
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re
c
o
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ig
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ra
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a
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f
lu
x
o
f
v
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m
s,”
2
0
1
8
In
ter
n
a
t
io
n
a
l
Co
l
lo
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i
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m
o
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o
g
isti
c
s
a
n
d
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u
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ly
Ch
a
in
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a
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me
n
t,
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OG
IS
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IQU
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2
0
1
8
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l.
0
0
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1
2
6
6
7
9
8
,
p
p
.
1
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110
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.
[1
6
]
M
.
Be
rq
u
e
d
ich
,
e
t
a
l
.
,
“
Org
a
n
iza
ti
o
n
a
l
m
e
th
o
d
o
lo
g
y
o
f
p
ro
c
e
ss
e
s
in
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n
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n
c
e
rtain
a
n
d
d
ist
u
rb
e
d
e
n
v
iro
n
m
e
n
t:
A
p
p
li
c
a
ti
o
n
to
t
h
e
h
o
sp
it
a
l
d
o
m
a
in
(in
F
re
n
c
h
)
,
”
Xèm
e
Co
n
fér
e
n
c
e
In
ter
n
a
ti
o
n
a
le:
Co
n
c
e
p
ti
o
n
e
t
Pro
d
u
c
ti
o
n
In
tég
ré
e
s
,
2
0
1
5
.
[1
7
]
A
.
A
r
m
a
n
d
-
p
e
rro
u
x
,
“
T
riag
e
in
e
m
e
rg
e
n
c
y
stru
c
tu
re
F
o
rm
a
li
z
e
d
re
c
o
m
m
e
n
d
a
ti
o
n
s
o
f
e
x
p
e
rts
(in
F
re
n
c
h
)
,
”
2
0
1
3
.
[1
8
]
Ag
e
n
c
y
f
o
r
He
a
lt
h
c
a
re
Re
se
a
rc
h
a
n
d
Qu
a
li
ty
,
“
d
i
Ne
ric
w
E
m
e
rg
e
n
c
y
S
e
v
e
rit
y
In
d
e
x
(
ES
I
),
”
Co
mp
u
t.
M
e
th
o
d
s
Pro
g
ra
ms
B
io
me
d
.
,
v
o
l.
1
1
7
,
p
p
.
6
1
-
7
0
,
2
0
1
2
.
[1
9
]
J.
W
in
d
le,
“
M
a
n
c
h
e
ste
r
T
riag
e
S
y
ste
m
:
A
g
lo
b
a
l
so
l
u
ti
o
n
,
”
2
0
1
3
.
[2
0
]
M
.
J.
Bu
ll
a
rd
,
e
t
a
l
.
,
“
Re
v
isio
n
s
to
th
e
Ca
n
a
d
ian
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e
rg
e
n
c
y
De
p
a
rtme
n
t
T
ria
g
e
a
n
d
A
c
u
it
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c
a
le
(CTA
S
)
G
u
id
e
li
n
e
s 2
0
1
6
,
”
Ca
n
.
J
.
Eme
rg
.
M
e
d
.
,
v
o
l.
1
9
,
p
p
.
S
1
8
-
S
2
7
,
2
0
1
7
.
[2
1
]
R.
Ko
h
a
v
i,
“
Cro
ss
v
a
li
d
a
ti
o
n
n
u
m
b
e
r
,
”
v
o
l.
5
,
1
9
9
5
.
[2
2
]
A
.
N.
F
a
u
z
i
y
a
h
a
n
d
W
.
F
.
M
a
h
m
u
d
y
,
“
H
y
b
rid
G
e
n
e
ti
c
A
lg
o
rit
h
m
f
o
r
Op
ti
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iz
a
ti
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o
f
F
o
o
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m
p
o
siti
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o
n
Hy
p
e
rten
siv
e
P
a
ti
e
n
t,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
Co
mp
u
ter
En
g
in
e
e
rin
g
(
IJ
ECE
)
,
v
o
l.
8
(6
)
,
p
p
.
4
6
7
3
-
4
6
8
3
,
2
0
1
8
.
[2
3
]
A
.
K.
A
ri
y
a
n
i,
e
t
a
l
.
,
“
H
y
b
rid
G
e
n
e
ti
c
A
lg
o
rit
h
m
s
a
n
d
S
im
u
la
ted
A
n
n
e
a
li
n
g
f
o
r
M
u
lt
i
-
tri
p
Ve
h
icle
Ro
u
ti
n
g
P
r
o
b
lem
w
it
h
T
i
m
e
W
in
d
o
w
s,”
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
El
e
c
trica
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a
n
d
Co
mp
u
ter
E
n
g
i
n
e
e
rin
g
(
IJ
ECE
)
,
v
o
l
.
8
(6
)
,
p
p
.
4
7
1
3
-
4
7
2
3
,
2
0
1
8
.
[2
4
]
J.
H.
G
o
ld
b
e
rg
a
n
d
D
.
E.
Ho
l
lan
d
,
“
G
UES
T
EDI
T
ORI
AL
Ge
n
e
ti
c
A
lg
o
rit
h
m
s
a
n
d
M
a
c
h
in
e
L
e
a
rn
in
g
,
”
M
a
c
h
.
L
e
a
rn
.
,
v
o
l
.
3
,
p
p
.
9
5
-
9
9
,
1
9
8
8
.
[2
5
]
T
.
El
m
ih
o
u
b
,
e
t
a
l
.
,
“
P
e
rf
o
rm
a
n
c
e
o
f
H
y
b
rid
G
e
n
e
ti
c
A
l
g
o
rit
h
m
s
In
c
o
rp
o
ra
ti
n
g
L
o
c
a
l
S
e
a
r
c
h
,
”
Pro
c
.
1
8
t
h
Eu
r
.
S
imu
l.
M
u
lt
ico
n
fer
e
n
c
e
,
v
o
l.
4
,
p
p
.
1
5
4
-
1
6
0
,
2
0
0
4
.
[2
6
]
A
.
Ko
n
a
k
a
n
d
A
.
E.
S
m
it
h
,
“
A
h
y
b
rid
g
e
n
e
ti
c
a
l
g
o
rit
h
m
a
p
p
ro
a
c
h
f
o
r
b
a
c
k
b
o
n
e
d
e
sig
n
o
f
c
o
m
m
u
n
ica
ti
o
n
n
e
tw
o
rk
s,”
Pro
c
.
1
9
9
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