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[1
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T
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[
2
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Evaluation Warning : The document was created with Spire.PDF for Python.
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I
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tell
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Vo
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14
,
No
.
4
,
Au
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20
25
:
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R
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r
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es:
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llab
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(
C
F)
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d
co
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ten
t
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ased
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(
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B
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lear
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m
o
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els
[
3
]
,
[
4
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.
Dee
p
lear
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in
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ased
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m
m
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5
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.
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ca
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b
ac
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ly
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tial.
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6
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I
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e
ep
lear
n
in
g
m
o
d
els,
a
n
d
t
h
e
u
n
tap
p
ed
p
o
ten
tial
o
f
s
u
p
p
lem
en
tar
y
d
ata.
B
y
ex
a
m
in
in
g
v
a
r
io
u
s
r
ec
o
m
m
en
d
atio
n
s
ce
n
ar
io
s
an
d
th
e
e
v
o
lv
in
g
r
o
le
o
f
d
ee
p
lear
n
i
n
g
,
we
aim
to
s
h
ed
lig
h
t
o
n
th
e
p
at
h
to
war
d
s
m
o
r
e
ac
c
u
r
ate,
p
er
s
o
n
alize
d
,
a
n
d
e
f
f
ec
tiv
e
r
ec
o
m
m
en
d
er
s
y
s
tem
s
[
7
]
.
T
h
is
s
u
r
v
ey
co
m
p
r
eh
en
s
iv
el
y
ex
am
in
es
th
e
lan
d
s
ca
p
e
o
f
r
ec
o
m
m
e
n
d
atio
n
s
y
s
tem
s
an
d
th
eir
p
r
o
m
is
in
g
ad
v
an
ce
m
e
n
ts
in
th
e
d
ig
ital e
r
a,
o
f
f
er
i
n
g
in
s
ig
h
ts
in
to
t
h
e
f
u
t
u
r
e
o
f
p
er
s
o
n
alize
d
co
n
ten
t
d
e
liv
er
y
.
T
h
e
p
r
o
b
lem
at
h
a
n
d
r
e
v
o
lv
es
ar
o
u
n
d
th
e
ch
allen
g
es
an
d
lim
itatio
n
s
f
ac
ed
b
y
tr
ad
itio
n
al
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
s
,
w
h
ich
ar
e
in
cr
ea
s
in
g
ly
v
ital
in
v
ar
io
u
s
d
o
m
ain
s
.
T
h
e
r
a
p
id
g
r
o
wth
o
f
d
ig
ita
l
in
f
o
r
m
atio
n
an
d
t
h
e
n
ee
d
f
o
r
p
er
s
o
n
aliza
tio
n
h
a
v
e
s
p
u
r
r
ed
i
n
ter
est
in
lev
er
ag
in
g
d
ee
p
lear
n
in
g
tech
n
iq
u
es
to
en
h
an
ce
r
ec
o
m
m
e
n
d
atio
n
s
y
s
t
em
s
.
Ho
wev
er
,
th
e
ad
o
p
tio
n
o
f
d
ee
p
lear
n
i
n
g
in
tr
o
d
u
ce
s
its
o
w
n
s
et
o
f
ch
allen
g
es,
in
clu
d
in
g
th
e
n
ee
d
f
o
r
s
u
b
s
tan
t
ial
tr
ain
in
g
d
ata,
co
m
p
le
x
m
o
d
el
ar
ch
itectu
r
es,
a
n
d
p
ar
a
m
eter
tu
n
in
g
.
T
o
a
d
d
r
ess
th
ese
is
s
u
es,
a
co
m
p
r
e
h
en
s
iv
e
s
u
r
v
ey
p
ap
e
r
is
p
r
o
p
o
s
ed
.
T
h
is
s
u
r
v
ey
aim
s
to
ex
p
lo
r
e
h
o
w
d
ee
p
lear
n
in
g
ca
n
allev
iate
th
e
lim
itatio
n
s
o
f
tr
ad
itio
n
al
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
s
,
p
r
o
v
id
i
n
g
m
o
r
e
ac
cu
r
ate
an
d
p
e
r
s
o
n
alize
d
r
ec
o
m
m
en
d
atio
n
s
.
Key
r
esear
ch
q
u
esti
o
n
s
in
v
o
l
v
e
th
e
ch
al
len
g
es
f
ac
ed
b
y
tr
ad
itio
n
al
s
y
s
tem
s
,
th
e
r
o
le
o
f
d
ee
p
lear
n
in
g
alg
o
r
ith
m
s
,
th
eir
ad
ap
tab
ilit
y
to
d
i
f
f
er
en
t
r
ec
o
m
m
en
d
atio
n
s
ce
n
ar
io
s
,
an
d
ad
d
r
ess
in
g
s
p
ec
if
ic
r
esear
ch
g
ap
s
with
in
th
is
d
o
m
ain
,
in
clu
d
in
g
s
p
ar
s
e
d
ata
an
d
im
p
r
o
v
e
d
co
n
te
x
t
-
b
ased
r
ec
o
m
m
en
d
atio
n
s
.
2.
RE
L
AT
E
D
WO
RK
I
n
th
is
s
u
r
v
ey
p
ap
er
,
we
r
esear
ch
in
to
th
e
v
ar
io
u
s
ty
p
es
o
f
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
s
,
co
n
s
id
er
in
g
th
e
ch
allen
g
es
an
d
in
n
o
v
atio
n
s
in
th
e
f
ield
.
T
h
is
ex
p
lo
r
atio
n
e
n
co
m
p
ass
es
tr
ad
itio
n
al
a
n
d
e
m
er
g
in
g
tech
n
iq
u
es,
u
n
d
er
s
co
r
i
n
g
th
e
e
v
o
lu
tio
n
o
f
r
ec
o
m
m
en
d
atio
n
alg
o
r
ith
m
s
an
d
th
e
q
u
est
f
o
r
m
o
r
e
p
r
ec
is
e
an
d
u
s
er
-
ce
n
tr
ic
r
ec
o
m
m
en
d
atio
n
s
in
an
in
cr
e
asin
g
ly
co
m
p
lex
d
ig
ital
en
v
i
r
o
n
m
e
n
t.
T
h
e
ef
f
ec
tiv
en
ess
o
f
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
s
is
co
n
tin
g
en
t
u
p
o
n
th
eir
ab
ilit
y
to
ef
f
ec
tiv
el
y
n
a
v
ig
ate
an
d
ad
d
r
ess
th
e
co
m
p
lex
it
ies
an
d
ch
allen
g
es
in
h
er
en
t
in
th
is
d
o
m
ai
n
.
T
h
e
ta
s
k
o
f
p
r
ed
ictin
g
u
s
er
p
r
e
f
er
en
c
es,
wh
eth
er
th
ey
ar
e
ex
p
r
ess
ed
th
r
o
u
g
h
r
atin
g
s
o
r
p
u
r
ch
asin
g
d
ec
is
io
n
s
,
p
o
s
es
a
f
u
n
d
am
e
n
tal
ch
allen
g
e
[
8
]
.
T
h
e
co
n
v
e
n
tio
n
al
ap
p
r
o
ac
h
o
f
ten
in
v
o
lv
es
th
e
lab
o
r
io
u
s
p
r
o
ce
s
s
o
f
m
an
u
ally
id
en
tify
in
g
u
s
er
s
wh
o
s
h
ar
e
s
im
ilar
in
ter
ests
.
R
ec
o
m
m
en
d
atio
n
alg
o
r
ith
m
s
,
s
u
ch
as
CF
,
C
B
F
,
an
d
h
y
b
r
id
m
o
d
el
s
,
o
f
ten
r
ely
o
n
m
an
u
al
co
n
s
tr
u
ctio
n
.
CF
alg
o
r
ith
m
s
o
p
er
ate
u
n
d
er
th
e
ass
u
m
p
tio
n
th
at
in
d
iv
id
u
als
with
s
im
ilar
p
r
ef
er
en
ce
s
f
o
r
s
p
ec
if
ic
item
s
wi
ll
ex
h
ib
it
s
im
ilar
lev
els
o
f
in
te
r
est
in
n
o
v
el
item
s
.
T
h
is
ass
u
m
p
ti
o
n
f
o
r
m
s
th
e
b
a
s
is
f
o
r
s
u
g
g
esti
n
g
to
p
-
r
ated
ite
m
s
th
at
alig
n
with
a
u
s
er
'
s
p
r
e
v
io
u
s
en
g
ag
em
e
n
ts
with
co
n
ten
t
[
9
]
.
T
h
e
u
s
er
'
s
p
r
o
f
ile,
d
e
r
iv
ed
f
r
o
m
ac
cu
r
ate
f
e
ed
b
ac
k
ass
ess
in
g
th
e
ap
p
ea
l
o
f
p
r
ev
i
o
u
s
p
r
o
d
u
cts,
p
lay
s
a
v
ital r
o
le
in
t
h
is
p
r
o
ce
d
u
r
e.
Sev
er
al
tech
n
iq
u
es,
s
u
ch
as
s
u
p
p
o
r
t
v
ec
to
r
m
ac
h
i
n
es,
K
-
n
ea
r
est
n
eig
h
b
o
r
s
(
K
-
NN)
,
n
eu
r
al
n
etwo
r
k
s
,
an
d
lo
g
is
tic
r
eg
r
ess
io
n
,
h
av
e
b
ee
n
em
p
lo
y
e
d
to
ad
d
r
es
s
th
ese
r
ec
o
m
m
en
d
atio
n
ch
allen
g
es
in
b
in
ar
y
class
if
icatio
n
task
s
.
CF
tech
n
i
q
u
es
h
av
e
d
e
m
o
n
s
tr
ated
ef
f
ic
ac
y
in
p
r
o
v
id
in
g
p
er
s
o
n
alize
d
r
ec
o
m
m
en
d
atio
n
s
with
in
th
e
co
n
tex
t
o
f
e
-
c
o
m
m
er
ce
p
latf
o
r
m
s
[
1
0
]
.
I
n
t
h
is
d
o
cu
m
en
t,
we
will
in
tr
o
d
u
c
e
a
b
eh
a
v
io
r
r
ec
o
r
d
m
o
d
u
le,
f
o
llo
wed
b
y
an
an
aly
s
is
o
f
th
e
m
o
d
u
le
a
n
d
t
h
e
u
tili
za
tio
n
o
f
a
r
ec
o
m
m
en
d
atio
n
alg
o
r
ith
m
m
o
d
u
le.
A
cu
s
to
m
ized
r
ec
o
m
m
en
d
atio
n
m
eth
o
d
,
k
n
o
wn
as
m
ax
im
u
m
m
ar
g
in
f
ac
to
r
izatio
n
,
h
as
b
ee
n
ex
p
lo
r
ed
f
o
r
u
s
er
s
with
s
em
i
-
d
ef
in
ite
p
r
ef
er
e
n
ce
s
.
T
h
is
m
et
h
o
d
aim
s
to
p
r
o
v
id
e
r
ec
o
m
m
en
d
atio
n
s
th
at
ar
e
b
o
th
m
o
r
e
a
cc
u
r
ate
an
d
s
u
itab
le
f
o
r
th
ese
u
s
er
s
[
1
1
]
.
T
h
e
in
teg
r
atio
n
o
f
s
o
cial
n
etwo
r
k
d
ata
in
to
CF
h
as
b
ee
n
im
p
le
m
en
ted
to
en
h
an
c
e
th
e
ef
f
ec
tiv
e
n
ess
o
f
r
ec
o
m
m
e
n
d
atio
n
s
[
1
2
]
.
T
o
ac
co
m
p
lis
h
th
is
task
,
it
is
n
ec
ess
ar
y
to
co
l
lect
u
s
er
p
r
e
f
er
en
ce
r
atin
g
s
an
d
u
tili
ze
d
ata
o
b
tain
ed
f
r
o
m
s
o
cial
m
e
d
ia
r
elatio
n
s
h
ip
s
s
o
u
r
ce
d
f
r
o
m
s
o
cial
n
et
wo
r
k
in
g
s
ites
.
T
h
e
p
r
im
ar
y
o
b
jectiv
e
o
f
th
is
p
r
o
j
ec
t
h
as
b
ee
n
t
o
ass
ess
th
e
ef
f
icac
y
o
f
CF
in
v
ar
io
u
s
n
ei
g
h
b
o
r
g
r
o
u
p
s
,
s
u
ch
as
f
r
ien
d
s
an
d
n
ea
r
est n
eig
h
b
o
r
s
[
1
3
]
.
T
h
is
s
y
s
tem
will
r
ec
o
m
m
en
d
h
ig
h
ly
r
a
n
k
ed
item
s
to
u
s
er
s
b
ased
o
n
CF
alg
o
r
ith
m
s
.
T
h
ese
alg
o
r
ith
m
s
ass
u
m
e
th
at
u
s
er
s
with
s
im
ilar
tast
es
wil
l
f
in
d
th
e
r
ec
o
m
m
en
d
ed
item
s
co
m
p
ar
a
b
le
to
th
eir
o
wn
co
n
te
n
t
[
1
4
]
.
T
h
is
f
ea
tu
r
e
s
u
r
p
ass
es
its
p
r
ed
ec
ess
o
r
s
b
y
em
p
h
asizin
g
n
e
wly
av
ailab
le
p
r
o
d
u
cts
th
at
ar
e
s
im
ilar
to
th
e
o
n
es
th
e
cu
s
to
m
er
h
as
p
r
ev
io
u
s
ly
en
co
u
n
ter
e
d
.
T
h
e
p
r
im
ar
y
ch
allen
g
e
lies
in
d
eter
m
in
in
g
th
e
u
s
er
'
s
p
r
o
f
ile
b
y
g
ath
er
in
g
ac
cu
r
ate
in
f
o
r
m
atio
n
r
eg
ar
d
i
n
g
th
eir
lev
el
o
f
in
ter
est
in
p
r
ev
i
o
u
s
item
s
.
Var
io
u
s
tec
h
n
iq
u
es,
in
clu
d
in
g
s
u
p
p
o
r
t
v
ec
to
r
m
ac
h
i
n
es,
K
-
N
N,
n
eu
r
al
n
etwo
r
k
s
,
an
d
l
o
g
is
tic
r
eg
r
ess
io
n
,
ar
e
co
m
m
o
n
ly
e
m
p
lo
y
ed
f
o
r
b
in
ar
y
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
R
ev
o
lu
tio
n
iz
in
g
r
ec
o
mme
n
d
a
tio
n
s
a
s
u
r
ve
y:
a
c
o
mp
r
eh
en
s
ive
ex
p
lo
r
a
tio
n
o
f …
(
P
r
ith
vi
R
a
m
V
in
a
ya
b
a
b
u
)
2581
class
if
icatio
n
task
s
[
1
5
]
.
T
h
e
C
B
F
r
ec
o
m
m
en
d
atio
n
class
is
wid
ely
r
ec
o
g
n
ize
d
as
a
p
o
p
u
lar
an
d
ex
ten
s
iv
ely
s
tu
d
ied
ap
p
r
o
ac
h
.
T
h
e
u
s
er
m
o
d
elin
g
p
r
o
ce
s
s
is
an
ess
en
tial
elem
en
t
o
f
C
B
F.
I
t
in
v
o
lv
es
ex
tr
ac
tin
g
u
s
er
in
ter
ests
f
r
o
m
th
e
v
a
r
io
u
s
item
s
th
at
u
s
er
s
in
ter
ac
t
with
.
T
ex
t
-
b
ased
"item
s
"
co
m
m
o
n
l
y
in
clu
d
e
em
ails
an
d
web
p
ag
es.
T
y
p
ically
,
"in
ter
ac
tio
n
"
tak
es
p
lace
w
h
en
a
n
y
th
in
g
is
d
o
wn
lo
ad
e
d
,
b
o
u
g
h
t,
c
r
ea
ted
,
o
r
lab
eled
.
T
h
e
r
ep
r
esen
tatio
n
is
ac
h
iev
ed
th
r
o
u
g
h
th
e
u
tili
za
tio
n
o
f
a
co
n
ten
t
m
o
d
el
th
at
en
co
m
p
ass
es
all
th
e
ch
ar
ac
ter
is
tics
o
f
th
e
o
b
ject.
T
h
e
p
r
ed
o
m
in
an
t
attr
ib
u
tes
p
r
im
ar
ily
co
n
s
is
t
o
f
wo
r
d
-
b
ased
elem
en
ts
,
in
clu
d
in
g
s
in
g
le
wo
r
d
s
,
p
h
r
ases
,
o
r
n
-
g
r
a
m
s
.
R
ec
o
m
m
en
d
er
s
y
s
tem
s
m
ay
u
tili
ze
ex
t
en
s
ib
le
m
ar
k
u
p
lan
g
u
ag
e
(
XM
L
)
elem
en
ts
,
lay
o
u
t
s
p
ec
if
ics,
an
d
wr
itin
g
s
ty
le
as su
p
p
lem
en
tar
y
n
o
n
-
tex
tu
al
cr
i
ter
ia
[
1
6
]
.
I
n
m
o
d
elin
g
an
ite
m
,
ty
p
ically
o
n
l
y
th
e
m
o
s
t d
escr
ip
tiv
e
asp
ec
ts
ar
e
u
t
ilized
,
an
d
b
o
th
th
e
u
s
er
s
an
d
t
h
ese
f
ea
tu
r
es a
r
e
f
r
e
q
u
en
tly
ass
ig
n
ed
weig
h
ts
.
Hy
b
r
id
r
ec
o
m
m
e
n
d
atio
n
alg
o
r
ith
m
s
h
av
e
b
ee
n
f
o
u
n
d
t
o
o
u
tp
er
f
o
r
m
o
th
er
f
ilter
in
g
m
eth
o
d
s
b
y
co
m
b
in
in
g
CF
an
d
CBF
tech
n
iq
u
es
[
1
7
]
.
T
o
en
h
a
n
ce
p
r
ed
ictio
n
ca
p
a
b
ilit
ies
with
in
th
e
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
,
it
is
cr
u
cial
to
lev
er
a
g
e
a
n
o
tab
le
ex
ce
p
tio
n
i
d
en
ti
f
ied
in
th
is
c
o
n
tex
t
a
n
d
a
p
p
l
y
it
ac
r
o
s
s
v
ar
io
u
s
ca
teg
o
r
ies.
C
u
s
to
m
er
s
h
av
e
th
e
o
p
tio
n
to
ex
p
r
ess
th
eir
p
r
ef
er
en
ce
s
f
o
r
th
e
in
tr
o
d
u
ctio
n
o
f
n
ew
cu
s
to
m
er
item
s
,
th
er
eb
y
e
n
h
an
cin
g
tu
r
n
o
v
er
,
wh
en
n
ew
g
o
o
d
s
b
ec
o
m
e
av
aila
b
le.
T
h
e
in
v
esti
g
atio
n
o
f
th
is
i
n
f
o
r
m
atio
n
r
etr
iev
al
m
eth
o
d
is
cu
r
r
en
tly
u
n
d
er
wa
y
in
v
ar
io
u
s
f
ie
ld
s
,
s
u
ch
as
e
-
co
m
m
er
ce
an
d
d
is
tan
ce
lear
n
in
g
[
1
8
]
.
T
h
e
m
ain
r
esp
o
n
s
ib
ilit
y
en
tails
p
r
o
v
id
in
g
a
c
o
m
p
r
e
h
en
s
iv
e
d
escr
ip
tio
n
o
f
th
e
u
s
er
'
s
o
b
jectiv
es,
d
iet
ar
y
p
r
ef
er
e
n
ce
s
,
an
d
r
ec
r
ea
tio
n
al
a
ctiv
ities
.
R
ec
o
m
m
en
d
atio
n
s
y
s
tem
s
p
lay
a
c
r
u
cial
r
o
le
in
p
er
s
o
n
alizin
g
o
n
lin
e
co
n
te
n
t,
en
a
b
lin
g
tailo
r
ed
b
r
o
wsi
n
g
ex
p
er
ie
n
ce
s
b
ased
o
n
u
s
er
s
'
in
d
iv
id
u
al
in
ter
ests
,
an
d
f
ac
ilit
atin
g
co
m
m
u
n
icatio
n
in
ter
f
ac
es
ac
r
o
s
s
a
wid
e
r
an
g
e
o
f
d
i
v
er
s
e
lo
ca
tio
n
s
[
1
9
]
.
T
h
e
r
elev
a
n
t
f
ac
to
r
s
r
elate
d
to
u
s
er
s
'
in
ter
est
s
ar
e
p
r
io
r
itized
in
o
r
d
er
to
o
f
f
er
a
cu
s
to
m
ized
v
iewp
o
in
t.
Var
io
u
s
AI
s
tr
ateg
ies a
r
e
u
tili
ze
d
,
in
clu
d
in
g
p
a
r
am
eter
s
atis
f
a
ctio
n
,
u
s
er
m
o
d
elin
g
,
an
d
m
ac
h
in
e
lear
n
in
g
d
ata.
I
n
o
r
d
er
to
u
tili
ze
A
d
aB
o
o
s
t
m
ac
h
in
e
lear
n
in
g
alg
o
r
ith
m
s
,
it
i
s
n
ec
ess
ar
y
to
g
en
e
r
ate
r
ec
o
m
m
en
d
atio
n
s
.
I
n
o
r
d
er
t
o
p
r
ed
ict
th
e
p
r
ev
io
u
s
lik
es
an
d
d
is
lik
es
o
f
u
s
er
s
,
a
m
eth
o
d
o
lo
g
y
ca
lled
Ad
aBo
o
s
t
is
em
p
lo
y
ed
.
T
h
e
p
r
o
ce
s
s
o
f
co
m
p
ar
ativ
e
an
aly
s
is
in
v
o
lv
es
th
e
u
tili
za
tio
n
o
f
d
ep
e
n
d
ab
le
a
n
d
f
lex
ib
le
tech
n
iq
u
es
f
o
r
tr
ain
in
g
th
e
class
if
ier
s
.
K
-
f
o
ld
cr
o
s
s
-
v
alid
atio
n
is
em
p
lo
y
ed
t
o
ev
alu
ate
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
Ad
aBo
o
s
t
class
if
ier
.
A
s
tate
-
of
-
th
e
-
a
r
t
ap
p
r
o
ac
h
was
em
p
lo
y
ed
t
o
d
ev
elo
p
a
to
u
r
is
t
r
e
co
m
m
en
d
atio
n
s
y
s
tem
t
h
at
u
tili
ze
s
d
ata
m
in
in
g
tech
n
iq
u
es
to
p
r
o
v
id
e
p
er
s
o
n
a
lized
s
u
g
g
esti
o
n
s
b
ased
o
n
u
s
er
p
r
e
f
er
en
ce
s
[
2
0
]
.
T
h
e
r
ev
ie
ws
o
b
tain
ed
f
r
o
m
s
o
cial
m
ed
ia
p
latf
o
r
m
s
p
r
o
v
id
e
a
s
ig
n
if
ican
t
am
o
u
n
t
o
f
d
ata
th
at
ca
n
b
e
u
tili
ze
d
to
ex
tr
ac
t
u
s
er
p
r
ef
er
en
ce
s
in
th
e
f
ield
o
f
to
u
r
is
m
.
Fu
r
th
er
m
o
r
e,
th
e
co
m
m
e
n
ts
th
at
h
av
e
u
n
d
er
g
o
n
e
s
em
an
tic
an
d
em
o
t
io
n
al
p
r
e
p
r
o
ce
s
s
in
g
ar
e
f
u
r
th
er
p
r
o
ce
s
s
ed
to
d
eter
m
in
e
th
e
p
r
ef
er
en
ce
s
o
f
th
e
v
i
s
ito
r
s
.
I
n
a
s
im
ilar
m
an
n
e
r
,
th
e
ag
g
r
eg
ate
d
r
ev
iews
ar
e
u
tili
ze
d
to
ex
tr
ac
t
t
h
e
f
ea
t
u
r
es
o
f
th
e
r
eg
io
n
s
o
f
in
ter
est.
A
co
m
p
r
e
h
en
s
iv
e
p
r
o
f
ile
ca
n
b
e
cr
ea
ted
f
o
r
ea
ch
in
d
iv
id
u
al,
ac
co
m
p
a
n
ied
b
y
a
s
tr
ateg
y
f
o
r
p
r
o
v
id
in
g
g
r
o
u
p
r
ec
o
m
m
en
d
atio
n
s
.
T
h
is
s
tu
d
y
u
tili
ze
s
d
ee
p
p
r
o
f
iles
th
at
ar
e
d
er
iv
e
d
f
r
o
m
th
e
cu
m
u
lativ
e
s
u
m
o
f
all
g
r
o
u
p
n
u
m
b
er
s
,
r
ath
er
th
a
n
r
el
y
in
g
o
n
ite
m
p
r
e
f
er
en
ce
p
r
o
f
iles
as
s
ee
n
in
p
r
ev
i
o
u
s
r
esear
c
h
.
T
ab
le
1
s
h
o
ws
th
e
s
u
r
v
e
y
ta
b
le
f
o
r
CBF
.
T
ab
le
2
s
h
o
ws
th
e
s
u
r
v
ey
ta
b
le
f
o
r
CF
.
T
ab
le
3
s
h
o
ws th
e
s
u
r
v
ey
tab
l
e
f
o
r
h
y
b
r
i
d
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
.
T
ab
le
1
.
Su
r
v
ey
tab
le
f
o
r
c
o
n
t
en
t
-
b
ased
f
ilter
in
g
R
e
f
e
r
e
n
c
e
M
e
t
h
o
d
A
d
v
a
n
t
a
g
e
s
R
e
se
a
r
c
h
g
ap
[
1
7
]
S
u
p
e
r
v
i
se
d
l
e
a
r
n
i
n
g
˗
I
mp
r
o
v
e
d
h
e
a
l
t
h
c
a
r
e
r
e
c
o
mm
e
n
d
a
t
i
o
n
s
b
a
se
d
o
n
p
a
t
i
e
n
t
p
r
o
f
i
l
e
s
,
me
d
i
c
a
l
h
i
s
t
o
r
y
,
a
n
d
d
i
s
e
a
se
s.
˗
C
l
a
s
si
f
y
i
n
g
p
a
t
i
e
n
t
s
i
n
t
o
s
u
b
-
c
l
a
sses
.
˗
P
r
e
d
i
c
t
i
n
g
m
e
d
i
c
a
l
c
o
n
d
i
t
i
o
n
s.
˗
La
c
k
o
f
c
o
n
s
i
d
e
r
a
t
i
o
n
f
o
r
p
a
t
i
e
n
t
a
l
l
e
r
g
i
e
s
.
[
1
8
]
A
sso
c
i
a
t
i
o
n
r
u
l
e
m
i
n
i
n
g
,
K
-
NN
˗
P
r
e
d
i
c
t
i
n
g
I
C
U
p
a
t
i
e
n
t
s'
h
e
a
l
t
h
f
o
r
u
r
g
e
n
t
a
c
t
i
o
n
s.
˗
A
u
t
o
ma
t
e
d
h
e
a
l
t
h
p
r
e
d
i
c
t
i
o
n
f
o
r
I
C
U
p
a
t
i
e
n
t
s.
˗
I
g
n
o
r
e
d
e
mb
e
d
d
i
n
g
a
ma
c
h
i
n
e
l
e
a
r
n
i
n
g
(
ML
)
m
o
d
e
l
f
o
r
l
i
v
e
r
e
a
d
i
n
g
s fr
o
m I
C
U
ma
c
h
i
n
e
s.
[
1
9
]
C
o
m
b
i
n
a
t
i
o
n
o
f
a
sso
c
i
a
t
i
o
n
a
n
d
c
l
u
st
e
r
i
n
g
r
u
l
e
s
˗
S
u
c
c
e
ssf
u
l
a
p
p
r
o
a
c
h
t
o
d
i
s
e
a
s
e
p
r
e
d
i
c
t
i
o
n
u
si
n
g
med
i
c
a
l
h
i
st
o
r
y
.
˗
N
o
c
o
m
p
a
r
i
s
o
n
w
i
t
h
o
t
h
e
r
p
r
o
p
o
sal
s
i
n
t
h
e
l
i
t
e
r
a
t
u
r
e
.
˗
Li
mi
t
e
d
a
s
sessm
e
n
t
o
f
v
a
s
t
m
e
d
i
c
a
l
h
i
s
t
o
r
y
d
a
t
a
s
e
t
s.
[
2
0
]
O
n
t
o
l
o
g
y
c
h
a
r
a
c
t
e
r
i
st
i
c
s
,
d
i
s
e
a
se
t
e
x
t
m
i
n
i
n
g
˗
Ef
f
i
c
i
e
n
t
d
o
c
t
o
r
r
e
c
o
mm
e
n
d
a
t
i
o
n
sy
st
e
m
f
o
r
o
n
l
i
n
e
p
r
e
d
i
a
g
n
o
s
i
s.
˗
U
t
i
l
i
z
a
t
i
o
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˗
Li
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t
s
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n
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h
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f
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.
[
2
1
]
C
o
n
t
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n
t
-
b
a
se
d
i
ma
g
e
r
e
t
r
i
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mat
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mat
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.
[
2
2
]
C
r
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n
d
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d
a
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a
mi
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mat
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.
[
2
3
]
H
y
b
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d
m
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l
˗
P
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d
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c
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.
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˗
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Evaluation Warning : The document was created with Spire.PDF for Python.
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[
2
4
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CF
˗
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p
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r
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s
e
"
CF
."
˗
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d
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˗
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a
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R
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c
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mm
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d
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r
l
y
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n
t
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st
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g
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ms.
[
2
5
]
M
e
m
o
r
y
-
b
a
s
e
d
C
F
˗
U
ses
u
ser
r
a
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mi
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o
r
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e
ms.
˗
Ea
sy
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to
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mp
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t
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d
h
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˗
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d
c
o
mm
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ms a
r
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f
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w
.
[
2
6
]
M
o
d
e
l
-
ba
se
d
C
F
˗
U
t
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l
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d
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m
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˗
C
a
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b
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C
F
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c
h
n
i
q
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s.
[
2
7
]
M
a
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k
o
v
d
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c
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s
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o
n
p
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o
c
e
ss (
M
D
P
)
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d
C
F
˗
R
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s
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t
s
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n
h
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g
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p
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f
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o
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p
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d
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sy
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w
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h
o
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e
c
o
m
me
n
d
e
r
s.
˗
R
e
q
u
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r
e
s
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x
p
l
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n
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f
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D
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st
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ab
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3
.
Su
r
v
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tab
le
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R
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M
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d
A
d
v
a
n
t
a
g
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s
R
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se
a
r
c
h
g
ap
[
1
8
]
Tr
a
d
i
t
i
o
n
a
l
h
y
b
r
i
d
r
e
c
o
m
me
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s
y
s
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m.
˗
A
d
d
r
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d
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h
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c
o
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d
s
t
a
r
t
p
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b
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r
mo
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a
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d
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sers.
˗
U
sed
t
w
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m
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l
a
r
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y
mat
r
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c
e
s t
o
ma
k
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m
me
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d
a
t
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n
s.
H
i
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mem
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s
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mi
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a
r
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ma
t
r
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c
e
s.
[
1
9
]
N
e
u
r
a
l
n
e
t
w
o
r
k
˗
R
e
d
u
c
e
d
c
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me
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s.
˗
U
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t
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a
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s.
[
2
0
]
K
-
me
a
n
s
c
l
u
s
t
e
r
i
n
g
˗
R
e
c
o
mm
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d
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mo
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y
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m
me
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s
.
˗
S
t
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d
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d
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mo
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d
a
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.
C
o
m
p
l
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x
a
r
c
h
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t
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c
t
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e
.
[
2
1
]
C
l
a
s
si
f
i
c
a
t
i
o
n
a
l
g
o
r
i
t
h
m
s
˗
U
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c
l
a
ssi
f
i
c
a
t
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o
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a
l
g
o
r
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ms
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n
a
ï
v
e
B
a
y
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s,
d
e
c
i
s
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o
n
t
r
e
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,
r
a
n
d
o
m
c
l
a
ssi
f
i
c
a
t
i
o
n
)
a
s
si
m
i
l
a
r
i
t
y
met
r
i
c
s
.
˗
Ev
a
l
u
a
t
e
d
t
h
e
m
o
v
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e
l
e
n
s
d
a
t
a
se
t
.
M
o
r
e
sc
o
p
e
o
f
e
n
h
a
n
c
e
me
n
t
.
[
2
8
]
H
y
b
r
i
d
co
-
c
l
u
st
e
r
i
n
g
a
l
g
o
r
i
t
h
m
˗
P
r
o
p
o
se
d
a
h
y
b
r
i
d
me
t
h
o
d
c
o
mb
i
n
i
n
g
CF
a
n
d
d
e
m
o
g
r
a
p
h
i
c
i
n
f
o
r
ma
t
i
o
n
.
˗
U
sed
t
h
e
h
y
b
r
i
d
c
o
-
c
l
u
st
e
r
i
n
g
a
l
g
o
r
i
t
h
m.
˗
Ev
a
l
u
a
t
e
d
m
u
l
t
i
p
l
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d
a
t
a
se
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s (
M
o
v
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l
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n
s,
J
e
st
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,
N
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t
f
i
x
)
.
C
a
n
f
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t
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n
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d
i
f
f
e
r
e
n
t
a
l
g
o
r
i
t
h
ms.
[
2
9
]
S
o
c
i
a
l
n
e
t
w
o
r
k
i
n
g
a
p
p
r
o
a
c
h
˗
D
e
v
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d
a
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c
o
mm
e
n
d
a
t
i
o
n
sy
s
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e
m
f
o
r
o
n
l
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n
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s
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a
l
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t
w
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k
s.
˗
Ex
p
l
o
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d
u
ser
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i
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s
o
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t
w
o
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k
s
.
˗
C
o
n
d
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c
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d
e
x
p
e
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i
m
e
n
t
s
o
n
d
a
t
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f
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o
m
o
n
l
i
n
e
s
o
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i
a
l
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t
w
o
r
k
s.
A
d
d
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i
n
g
t
h
e
c
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l
d
st
a
r
t
p
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l
e
m
n
o
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e
x
p
l
i
c
i
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l
y
men
t
i
o
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d
.
[
3
0
]
S
o
c
i
a
l
n
e
t
w
o
r
k
d
a
t
a
a
n
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Ex
p
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g
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a
n
d
so
l
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t
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o
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s
f
o
r
r
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o
mm
e
n
d
e
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sy
st
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ms
i
n
l
a
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g
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so
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i
a
l
n
e
t
w
o
r
k
s.
˗
F
o
c
u
se
d
o
n
t
h
e
h
e
t
e
r
o
g
e
n
e
i
t
y
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s
i
z
e
,
a
n
d
d
y
n
a
m
i
c
s
o
f
so
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l
n
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t
w
o
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k
d
a
t
a
.
A
d
d
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ss
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g
t
h
e
c
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l
d
st
a
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p
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b
l
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m
n
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x
p
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i
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men
t
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d
.
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h
ey
s
u
m
m
ar
ize
th
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p
r
in
ci
p
les
an
d
ch
ar
ac
ter
is
tics
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r
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m
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p
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eq
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at
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ta
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ter
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ality
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p
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m
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tem
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is
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v
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y
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ta
-
i
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ter
est
p
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icts
th
e
u
s
er
'
s
in
ter
es
t
an
d
th
e
item
s
ass
o
ciate
d
wi
th
th
ese
in
ter
est
s
,
ev
en
if
th
e
u
s
er
'
s
h
is
to
r
y
d
o
e
s
n
o
t
co
n
tain
th
ese
item
s
o
r
s
im
ilar
o
n
es.
T
h
e
y
p
r
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t
a
d
esig
n
th
at
will
ex
p
an
d
o
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th
e
o
p
p
o
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tu
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ities
f
o
r
b
ett
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d
ata
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ce
s
s
ib
ilit
y
an
d
u
s
e,
b
y
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n
teg
r
atin
g
th
e
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
i
n
to
c
o
n
n
ec
ted
h
ea
lth
[
2
8
]
,
[
3
1
]
–
[
3
3
]
.
T
h
ey
c
o
m
b
in
e
th
e
ad
v
an
tag
es
o
f
g
r
a
p
h
c
o
n
v
o
lu
t
io
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al
n
etwo
r
k
(
GC
N
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an
d
s
eq
u
en
tial
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ec
o
m
m
e
n
d
atio
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m
o
d
els
b
y
p
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o
s
in
g
a
n
o
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el
s
elf
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atten
tio
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ased
s
eq
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o
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m
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atio
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with
g
r
ap
h
co
n
v
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l
u
tio
n
al
n
etwo
r
k
s
(
SASGC
N)
.
Mo
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if
y
th
e
f
u
s
io
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o
m
m
en
d
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n
alg
o
r
ith
m
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d
p
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p
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e
th
e
n
eu
r
al
n
etwo
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s
f
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io
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r
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o
m
m
en
d
atio
n
(
NNFR
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m
o
d
el.
T
h
is
m
o
d
el
im
p
r
o
v
es
th
e
s
tr
u
ctu
r
e
o
f
B
P
n
eu
r
al
n
etwo
r
k
b
y
s
p
ec
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d
esig
n
in
g
th
e
s
tr
u
ctu
r
e
o
f
n
etwo
r
k
lay
e
r
s
.
T
h
e
r
elatio
n
s
b
etwe
en
d
if
f
e
r
e
n
t
tim
e
s
p
an
s
ar
e
ad
o
p
ted
to
co
n
s
tr
u
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th
e
s
ig
n
ed
n
etwo
r
k
s
an
d
im
itate
u
s
er
’
s
in
ter
est ch
an
g
es
[
3
4
]
,
[
3
5
]
.
T
h
ey
p
r
o
p
o
s
e
h
ier
ar
ch
ical
f
ed
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ated
r
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m
m
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d
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tem
(
HFSA
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,
a
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ar
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ated
R
S.
H
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it
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p
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p
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d
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p
n
eu
r
al
CF
f
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ca
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n
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R
ev
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2252
-
8
9
3
8
R
ev
o
lu
tio
n
iz
in
g
r
ec
o
mme
n
d
a
tio
n
s
a
s
u
r
ve
y:
a
c
o
mp
r
eh
en
s
ive
ex
p
lo
r
a
tio
n
o
f …
(
P
r
ith
vi
R
a
m
V
in
a
ya
b
a
b
u
)
2583
[
3
6
]
–
[
3
8
]
.
P
r
o
p
o
s
e
a
n
o
n
li
n
ea
r
l
y
atte
n
ti
v
e
s
im
i
la
r
it
y
m
o
d
el
(
NAS
M)
f
o
r
i
te
m
-
b
ase
d
C
F
v
ia
l
o
ca
l
ly
at
te
n
ti
v
e
em
b
e
d
d
i
n
g
b
y
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n
t
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d
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c
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e
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ti
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p
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n
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g
l
o
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it
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in
f
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m
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s
im
u
l
ta
n
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o
u
s
l
y
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A
h
y
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er
g
r
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p
h
em
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ed
d
i
n
g
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s
f
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r
m
u
s
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c
r
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c
o
m
m
en
d
a
ti
o
n
(
HE
MR)
,
a
n
o
v
e
l
f
r
am
ew
o
r
k
f
o
r
s
o
n
g
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m
m
e
n
d
at
io
n
b
as
e
d
o
n
h
y
p
er
g
r
a
p
h
e
m
b
e
d
d
in
g
[
3
9
]
.
A
n
ew
e
n
d
-
to
-
en
d
r
ec
o
m
m
e
n
d
ati
o
n
m
o
d
el
ca
l
le
d
n
ei
g
h
b
o
r
l
ib
r
ar
y
-
awa
r
e
g
r
ap
h
n
e
u
r
al
n
etw
o
r
k
(
NL
A
-
GNN
)
.
Desi
g
n
a
n
o
v
el
m
u
lti
m
o
d
al
c
o
n
t
r
ast
iv
e
f
r
a
m
e
wo
r
k
t
o
f
a
cil
ita
t
e
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te
m
-
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v
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m
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lti
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b
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m
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ty
-
s
h
a
r
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d
a
n
d
m
o
d
al
it
y
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s
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i
f
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in
f
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m
a
ti
o
n
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A
n
o
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li
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e
d
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p
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t
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g
-
b
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r
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m
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ati
o
n
(
DR
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OR
)
f
r
am
e
wo
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k
to
s
o
lv
e
th
e
d
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cisi
o
n
-
m
a
k
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g
p
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b
le
m
i
n
th
e
s
ce
n
ar
i
o
o
f
o
n
li
n
e
f
o
o
d
d
el
iv
e
r
y
(
O
FD
)
[
4
0
]
–
[
4
4
]
.
T
h
ey
e
v
al
u
ate
s
e
v
e
r
al
e
x
is
t
in
g
a
p
p
r
o
a
c
h
es
o
n
a
s
et
o
f
8
Mi
cr
o
s
o
f
t
r
e
p
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s
it
o
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o
f
d
i
f
f
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n
t
s
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s
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A
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y
c
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-
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m
o
d
el
(
R
C
o
L
M)
t
h
at
ta
k
es
t
h
e
in
co
m
p
l
ete
n
ess
n
atu
r
e
o
f
K
Gs
i
n
t
o
co
n
s
i
d
e
r
a
ti
o
n
w
h
e
n
in
c
o
r
p
o
r
at
in
g
t
h
em
i
n
t
o
r
e
co
m
m
e
n
d
ati
o
n
.
An
ef
f
icien
t
m
eth
o
d
f
o
r
ca
lc
u
latin
g
th
e
d
is
tan
ce
b
etwe
en
p
r
o
ce
s
s
f
r
ag
m
en
ts
an
d
s
elec
t
ca
n
d
id
ate
n
o
d
e
s
ets
f
o
r
r
ec
o
m
m
en
d
atio
n
p
u
r
p
o
s
e.
T
h
is
p
ap
er
ad
d
r
ess
es
th
e
d
y
n
am
is
m
o
f
th
e
o
r
d
er
r
ec
o
m
m
en
d
atio
n
p
r
o
b
lem
an
d
p
r
o
p
o
s
es
a
r
ein
f
o
r
ce
m
en
t
lear
n
i
n
g
s
o
lu
tio
n
m
eth
o
d
[
4
5
]
–
[
4
8
]
.
Pr
o
p
o
s
e
an
e
f
f
ec
tiv
e
n
eu
r
al
r
ec
o
m
m
en
d
er
s
y
s
tem
,
g
r
a
p
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-
co
n
v
o
l
v
ed
f
ac
to
r
izatio
n
m
ac
h
in
e
(
GC
FM)
,
with
th
e
s
p
ir
it
o
f
th
e
s
y
m
b
o
lic
g
r
ap
h
r
ea
s
o
n
in
g
p
r
in
cip
le
th
at
p
r
o
v
id
es
lig
h
tweig
h
t
an
d
in
ter
p
r
etab
le
r
ec
o
m
m
en
d
atio
n
s
u
g
g
esti
o
n
s
[
4
9
]
.
3.
RE
CO
M
M
E
NDA
T
I
O
N
S
YS
T
E
M
S
I
n
ea
ch
in
d
u
s
tr
y
,
r
ec
o
m
m
en
d
a
tio
n
s
y
s
tem
s
ar
e
u
tili
ze
d
to
g
iv
e
clien
ts
p
r
io
r
ity
b
ased
o
n
th
ei
r
p
r
ev
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u
s
p
r
ef
er
en
ce
s
.
T
h
e
r
e
ar
e
two
r
e
co
m
m
en
d
e
r
p
r
o
b
lem
s
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m
m
en
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p
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o
b
lem
.
T
h
e
ab
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to
p
r
ed
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a
u
s
er
'
s
p
r
ef
er
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ce
s
f
o
r
a
p
r
o
d
u
c
t
o
r
to
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an
k
an
d
p
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p
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s
e
p
r
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d
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cts
to
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s
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b
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cr
ea
tin
g
a
T
o
p
-
N
lis
t.
T
h
r
ee
ty
p
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o
f
r
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o
m
m
en
d
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s
y
s
tem
s
a
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ized
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f
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g
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ased
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n
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ter
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s
,
eith
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f
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m
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le,
p
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s
)
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er
tly
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g
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,
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er
co
m
m
e
n
ts
)
.
T
h
e
f
o
u
n
d
atio
n
o
f
co
n
ten
t
-
b
ased
r
ec
o
m
m
en
d
e
r
s
y
s
tem
s
is
th
e
id
ea
th
at
item
s
ar
e
s
u
g
g
ested
b
ased
o
n
h
o
w
m
u
ch
th
e
y
r
esem
b
le
p
r
ev
io
u
s
u
s
er
f
av
o
r
ites
.
Fig
u
r
e
1
s
h
o
ws
th
e
ty
p
es
o
f
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
s
.
T
h
ese
m
eth
o
d
s
ar
e
f
r
eq
u
e
n
tly
ap
p
lied
to
m
a
k
e
u
p
f
o
r
th
e
s
h
o
r
tco
m
in
g
s
o
f
o
n
e
m
eth
o
d
th
at
th
e
o
th
er
m
et
h
o
d
c
o
r
r
ec
ts
.
Fig
u
r
e
1.
T
y
p
es o
f
r
ec
o
m
m
e
n
d
atio
n
s
y
s
tem
s
3
.
1
.
Co
nt
ent
-
ba
s
ed
f
ilte
ring
re
co
mm
ender
s
y
s
t
em
s
C
B
F
is
a
p
o
p
u
lar
tec
h
n
iq
u
e
u
s
ed
in
r
ec
o
m
m
en
d
er
s
y
s
tem
s
to
p
r
o
v
id
e
p
e
r
s
o
n
alize
d
r
ec
o
m
m
en
d
atio
n
s
to
u
s
er
s
.
T
h
is
a
p
p
r
o
ac
h
is
b
ase
d
o
n
an
aly
zi
n
g
t
h
e
co
n
ten
t
o
r
a
ttrib
u
tes
o
f
item
s
(
e
.
g
.
,
p
r
o
d
u
ct
s
,
ar
ticles,
m
o
v
ies)
an
d
u
s
er
s
'
h
is
to
r
ical
p
r
ef
e
r
en
ce
s
to
m
ak
e
r
ec
o
m
m
e
n
d
atio
n
s
.
CBF
s
y
s
tem
s
f
o
cu
s
o
n
m
atch
in
g
th
e
ch
a
r
ac
ter
is
tics
o
f
item
s
to
th
e
u
s
er
'
s
p
r
o
f
ile
o
r
p
r
ef
er
e
n
ce
s
.
Her
e'
s
h
o
w
C
B
F
r
ec
o
m
m
en
d
er
s
y
s
tem
s
wo
r
k
:
−
I
tem
p
r
o
f
ile
c
r
ea
tio
n
:
e
ac
h
ite
m
in
th
e
s
y
s
tem
is
r
ep
r
esen
ted
b
y
a
s
et
o
f
d
escr
ip
tiv
e
f
ea
tu
r
e
s
o
r
attr
ib
u
tes.
Fo
r
ex
am
p
le,
in
a
m
o
v
ie
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
,
th
ese
f
ea
tu
r
es
co
u
ld
in
clu
d
e
g
en
r
es,
ac
t
o
r
s
,
d
ir
ec
to
r
s
,
an
d
r
elea
s
e
y
ea
r
.
T
h
e
item
p
r
o
f
iles
ar
e
cr
ea
ted
b
ased
o
n
th
es
e
attr
ib
u
tes.
−
User
p
r
o
f
ile
cr
ea
tio
n
:
a
u
s
er
'
s
p
r
o
f
ile
is
co
n
s
tr
u
cte
d
b
y
an
al
y
zin
g
th
eir
p
ast
in
ter
ac
tio
n
s
o
r
p
r
ef
e
r
en
ce
s
.
Fo
r
in
s
tan
ce
,
in
a
m
o
v
ie
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
,
th
e
u
s
er
'
s
p
r
o
f
ile
m
ig
h
t
in
clu
d
e
th
e
g
e
n
r
es,
d
ir
ec
to
r
s
,
o
r
ac
to
r
s
th
ey
h
av
e
s
h
o
wn
a
p
r
ef
er
en
ce
f
o
r
in
t
h
e
p
ast.
Evaluation Warning : The document was created with Spire.PDF for Python.
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9
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n
t J Ar
tif
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n
tell
,
Vo
l.
14
,
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.
4
,
Au
g
u
s
t
20
25
:
2
5
7
9
-
2
5
8
9
2584
−
R
ec
o
m
m
en
d
atio
n
g
en
er
atio
n
:
t
o
g
en
er
ate
r
ec
o
m
m
en
d
atio
n
s
f
o
r
a
u
s
er
,
th
e
s
y
s
tem
co
m
p
ar
es
th
e
u
s
er
'
s
p
r
o
f
ile
with
th
e
p
r
o
f
iles
o
f
item
s
.
I
t
ca
lcu
lates
a
s
im
i
lar
ity
s
c
o
r
e
b
etwe
en
th
e
u
s
er
'
s
p
r
o
f
ile
a
n
d
ea
ch
item
'
s
p
r
o
f
ile.
T
h
is
s
co
r
e
ca
n
b
e
c
o
m
p
u
ted
u
s
in
g
v
ar
io
u
s
tech
n
iq
u
es
s
u
ch
as
co
s
in
e
s
im
ilar
ity
,
J
ac
ca
r
d
s
im
ilar
ity
,
o
r
ter
m
f
r
eq
u
e
n
cy
-
in
v
er
s
e
d
o
cu
m
en
t
f
r
eq
u
e
n
cy
(
TF
-
I
DF
)
weig
h
tin
g
.
T
h
e
item
s
with
th
e
h
ig
h
est
s
im
ilar
ity
s
co
r
es a
r
e
r
ec
o
m
m
e
n
d
ed
to
th
e
u
s
er
.
−
Fil
ter
in
g
an
d
r
an
k
in
g
:
t
h
e
s
y
s
t
em
c
an
ap
p
ly
ad
d
itio
n
al
f
ilter
s
o
r
r
u
les
to
r
ef
i
n
e
th
e
r
ec
o
m
m
e
n
d
atio
n
s
.
Fo
r
ex
am
p
le,
it
m
ay
e
x
clu
d
e
item
s
th
e
u
s
er
h
as
alr
ea
d
y
in
ter
ac
t
ed
with
o
r
lim
it
r
ec
o
m
m
e
n
d
at
io
n
s
to
item
s
th
at
ar
e
cu
r
r
en
tly
av
ailab
le
o
r
p
o
p
u
lar
.
T
h
e
r
ec
o
m
m
en
d
e
d
item
s
ar
e
th
en
r
an
k
ed
b
ase
d
o
n
th
eir
s
im
ilar
ity
s
co
r
es
o
r
o
th
er
f
ac
to
r
s
(
e.
g
.
,
r
e
lease
d
ate,
p
o
p
u
lar
ity
)
t
o
p
r
es
en
t
th
e
m
o
s
t
r
elev
an
t
item
s
at
th
e
to
p
o
f
th
e
lis
t.
3
.
1
.
1
.
Adv
a
nta
g
es
Per
s
o
n
aliza
tio
n
:
c
o
n
ten
t
-
b
ase
d
s
y
s
tem
s
p
r
o
v
id
e
p
er
s
o
n
aliz
ed
r
ec
o
m
m
e
n
d
atio
n
s
b
ased
o
n
a
u
s
er
'
s
h
is
to
r
ical
p
r
ef
er
en
ce
s
an
d
th
e
co
n
ten
t
attr
ib
u
tes
o
f
item
s
.
E
x
p
lan
atio
n
s
:
t
h
ese
s
y
s
tem
s
ca
n
o
f
ten
p
r
o
v
id
e
ex
p
lan
atio
n
s
f
o
r
wh
y
a
p
ar
tic
u
lar
item
is
r
ec
o
m
m
en
d
ed
(
e
.
g
.
"T
h
is
b
o
o
k
is
r
ec
o
m
m
en
d
e
d
b
ec
au
s
e
y
o
u
lik
ed
o
th
er
b
o
o
k
s
b
y
th
e
s
am
e
a
u
th
o
r
")
.
C
o
ld
s
tar
t
p
r
o
b
lem
:
CBF
ca
n
m
ak
e
r
ec
o
m
m
en
d
atio
n
s
f
o
r
n
ew
item
s
o
r
u
s
er
s
with
lim
ited
h
is
to
r
ical
d
ata,
ad
d
r
ess
in
g
th
e
"c
o
ld
s
tar
t"
p
r
o
b
l
em
to
s
o
m
e
ex
ten
t.
3
.
1
.
2
.
L
im
it
a
t
io
ns
L
im
ited
s
er
en
d
ip
ity
:
it
ten
d
s
to
r
ec
o
m
m
e
n
d
item
s
t
h
at
ar
e
s
im
ilar
to
w
h
at
th
e
u
s
er
h
as
alr
ea
d
y
in
ter
ac
ted
with
,
wh
ich
c
an
le
ad
to
a
lack
o
f
d
iv
er
s
ity
in
r
ec
o
m
m
en
d
atio
n
s
.
Ov
er
-
s
p
ec
ia
lizatio
n
:
if
a
u
s
er
'
s
h
is
to
r
ical
p
r
ef
er
e
n
ce
s
ar
e
to
o
n
ar
r
o
w
o
r
if
t
h
e
item
p
r
o
f
iles
a
r
e
n
o
t
d
iv
er
s
e,
th
e
r
ec
o
m
m
e
n
d
atio
n
s
m
ay
b
ec
o
m
e
r
ep
etitiv
e.
C
o
n
ten
t
q
u
ality
:
t
h
e
q
u
ality
o
f
r
ec
o
m
m
en
d
atio
n
s
h
ea
v
ily
d
e
p
en
d
s
o
n
th
e
q
u
ality
an
d
ac
c
u
r
ac
y
o
f
th
e
item
p
r
o
f
iles
.
Scalab
ilit
y
:
c
r
ea
tin
g
an
d
m
ain
tain
in
g
d
etailed
item
p
r
o
f
iles
f
o
r
a
lar
g
e
ca
talo
g
o
f
item
s
ca
n
b
e
ch
allen
g
in
g
.
3
.
2
.
Co
lla
bo
r
a
t
iv
e
f
ilte
ring
CF
is
a
p
o
p
u
lar
tec
h
n
iq
u
e
u
s
ed
in
r
ec
o
m
m
e
n
d
er
s
y
s
tem
s
to
p
r
o
v
id
e
p
er
s
o
n
alize
d
r
ec
o
m
m
en
d
atio
n
s
t
o
u
s
er
s
.
I
t is b
ased
o
n
th
e
id
ea
th
at
u
s
er
s
wh
o
h
av
e
ag
r
ee
d
o
n
o
r
in
ter
ac
ted
with
item
s
in
s
im
il
ar
way
s
in
th
e
p
ast
ar
e
lik
ely
to
ag
r
ee
o
n
item
s
in
th
e
f
u
tu
r
e.
CF
ca
n
b
e
b
r
o
ad
ly
ca
teg
o
r
ized
in
to
two
m
ain
ty
p
es:
u
s
er
-
b
ased
CF
an
d
item
-
b
ased
CF
.
I
tem
-
b
ase
d
CF
is
le
s
s
s
en
s
itiv
e
to
th
e
s
p
ar
s
ity
p
r
o
b
lem
an
d
ca
n
b
e
m
o
r
e
s
ca
lab
le
s
in
ce
th
e
n
u
m
b
er
o
f
item
s
is
ty
p
ically
s
m
aller
th
an
th
e
n
u
m
b
er
o
f
u
s
e
r
s
.
−
User
-
b
ased
C
F
:
I
n
u
s
er
-
b
ased
CF
,
th
e
s
y
s
tem
r
ec
o
m
m
e
n
d
s
it
em
s
to
a
u
s
er
b
ased
o
n
th
e
p
r
e
f
er
en
ce
s
an
d
b
eh
av
io
r
s
o
f
u
s
er
s
wh
o
a
r
e
s
im
ilar
to
th
at
u
s
er
.
User
-
b
ased
CF
is
s
en
s
itiv
e
to
th
e
"sp
ar
s
ity
"
p
r
o
b
lem
,
wh
ich
o
cc
u
r
s
wh
en
m
o
s
t u
s
er
s
h
av
e
in
ter
ac
ted
with
o
n
ly
a
s
m
all
s
u
b
s
et
o
f
item
s
.
I
t
m
ay
al
s
o
s
u
f
f
er
f
r
o
m
s
ca
lab
ilit
y
is
s
u
e
s
with
a
la
r
g
e
u
s
er
b
ase.
T
h
e
p
r
o
ce
s
s
ty
p
ically
in
v
o
lv
es
th
e
f
o
ll
o
win
g
s
tep
s
:
i
)
c
r
ea
te
a
u
s
er
-
item
m
atr
ix
wh
er
e
r
o
ws
r
ep
r
esen
t
u
s
er
s
,
co
lu
m
n
s
r
ep
r
esen
t
item
s
,
an
d
th
e
v
alu
es
r
ep
r
esen
t
u
s
er
in
ter
ac
tio
n
s
(
e.
g
.
,
r
atin
g
s
,
lik
es,
p
u
r
ch
ase
h
is
to
r
y
)
.
ii
)
c
a
lcu
late
th
e
s
im
ilar
ity
b
etwe
en
th
e
tar
g
et
u
s
e
r
an
d
o
th
er
u
s
er
s
in
th
e
s
y
s
tem
.
iii
)
i
d
en
tify
u
s
er
s
wh
o
ar
e
m
o
s
t
s
im
ilar
to
th
e
tar
g
et
u
s
er
.
iv
)
r
ec
o
m
m
e
n
d
item
s
th
at
th
ese
s
im
ilar
u
s
er
s
h
av
e
in
ter
ac
ted
with
,
b
u
t t
h
e
t
ar
g
et
u
s
er
h
as n
o
t.
−
I
tem
-
b
ased
C
F:
in
item
-
b
ased
CF
,
th
e
s
y
s
tem
r
ec
o
m
m
en
d
s
it
em
s
to
a
u
s
er
b
ased
o
n
th
e
s
im
ilar
ity
b
etwe
e
n
th
e
item
s
th
e
u
s
er
h
as
in
ter
ac
ted
with
an
d
o
th
e
r
item
s
in
t
h
e
s
y
s
tem
.
T
h
e
s
im
ilar
ity
b
et
wee
n
item
s
is
d
eter
m
in
ed
b
ased
o
n
h
o
w
u
s
er
s
h
av
e
in
te
r
ac
ted
with
th
em
.
Similar
ity
ca
n
b
e
ca
lcu
lated
u
s
in
g
v
ar
io
u
s
m
etr
ics,
s
u
ch
as
co
s
in
e
s
im
ilar
ity
o
r
J
ac
ca
r
d
in
d
ex
.
I
tem
-
b
ase
d
CF
i
s
les
s
s
en
s
itiv
e
to
th
e
s
p
a
r
s
ity
p
r
o
b
lem
an
d
ca
n
b
e
m
o
r
e
s
ca
lab
le
s
in
ce
th
e
n
u
m
b
er
o
f
item
s
is
ty
p
ically
s
m
aller
th
an
th
e
n
u
m
b
e
r
o
f
u
s
er
s
.
T
h
e
p
r
o
ce
s
s
ty
p
ically
in
v
o
l
v
es
th
e
f
o
llo
win
g
s
tep
s
:
i
)
c
r
ea
te
an
it
em
-
item
s
im
ilar
ity
m
atr
ix
,
wh
er
e
ea
ch
en
tr
y
r
ep
r
esen
ts
th
e
s
im
ilar
ity
b
etwe
en
two
item
s
.
ii
)
f
o
r
th
e
tar
g
et
u
s
er
,
id
en
tif
y
th
e
item
s
th
ey
h
av
e
in
ter
ac
te
d
with
.
iii
)
r
ec
o
m
m
en
d
it
em
s
th
at
ar
e
s
im
ilar
to
t
h
e
o
n
es
th
e
tar
g
et
u
s
er
h
as
in
ter
ac
ted
with
b
u
t
h
av
e
n
o
t
b
ee
n
in
ter
ac
ted
with
b
y
th
e
u
s
er
.
3
.
2
.
1
.
Adv
a
nta
g
es
User
-
item
in
d
ep
en
d
en
ce
:
it
d
o
esn
'
t
r
eq
u
ir
e
ex
ten
s
iv
e
in
f
o
r
m
atio
n
ab
o
u
t
item
s
,
m
ak
in
g
it
s
u
itab
le
f
o
r
a
wid
e
r
an
g
e
o
f
d
o
m
ain
s
.
Ser
en
d
ip
ity
:
i
t
ca
n
d
is
co
v
er
h
id
d
en
o
r
u
n
ex
p
ec
ted
c
o
n
n
ec
tio
n
s
b
etwe
en
u
s
er
s
an
d
item
s
.
Scalab
ilit
y
:
i
ts
ab
ilit
y
to
f
u
n
ctio
n
with
o
u
t d
etailed
d
o
m
ain
-
s
p
ec
if
ic
d
ata
all
o
ws
f
o
r
ef
f
o
r
tles
s
ad
ap
tatio
n
to
n
ew
o
r
e
x
p
an
d
in
g
u
s
er
-
item
d
atasets
.
3
.
2
.
2
.
L
im
it
a
t
io
ns
C
o
ld
s
tar
t
p
r
o
b
lem
:
it
ca
n
s
tr
u
g
g
le
to
m
ak
e
r
ec
o
m
m
e
n
d
ati
o
n
s
f
o
r
n
ew
u
s
er
s
o
r
item
s
with
lim
ited
in
ter
ac
tio
n
d
ata
(
th
e
"c
o
ld
s
tar
t"
p
r
o
b
lem
)
.
Data
s
p
ar
s
ity
:
i
n
s
y
s
tem
s
wi
th
s
p
ar
s
e
d
ata,
it
ca
n
b
e
ch
allen
g
in
g
to
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
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n
tell
I
SS
N:
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-
8
9
3
8
R
ev
o
lu
tio
n
iz
in
g
r
ec
o
mme
n
d
a
tio
n
s
a
s
u
r
ve
y:
a
c
o
mp
r
eh
en
s
ive
ex
p
lo
r
a
tio
n
o
f …
(
P
r
ith
vi
R
a
m
V
in
a
ya
b
a
b
u
)
2585
f
in
d
s
im
ilar
u
s
er
s
o
r
item
s
.
S
ca
lab
ilit
y
:
u
s
er
-
b
ased
CF
m
ay
b
ec
o
m
e
in
ef
f
icien
t
as
th
e
u
s
er
b
ase
g
r
o
ws,
an
d
item
-
b
ased
CF
ca
n
f
ac
e
ch
alle
n
g
es with
a
lar
g
e
item
ca
talo
g
.
3
.
3
.
H
y
brid re
co
mm
enda
t
io
n sy
s
t
em
Hy
b
r
id
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
is
a
r
ec
o
m
m
en
d
er
s
y
s
tem
th
at
co
m
b
in
es
m
u
ltip
le
r
ec
o
m
m
en
d
atio
n
tech
n
iq
u
es
to
p
r
o
v
id
e
m
o
r
e
a
cc
u
r
ate,
d
iv
er
s
e,
an
d
ef
f
ec
tiv
e
r
ec
o
m
m
en
d
atio
n
s
to
u
s
er
s
.
T
h
e
g
o
al
o
f
h
y
b
r
id
s
y
s
tem
s
is
to
lev
er
ag
e
th
e
s
tr
en
g
th
s
o
f
d
if
f
er
e
n
t
r
ec
o
m
m
en
d
atio
n
ap
p
r
o
ac
h
es
wh
ile
m
itig
a
tin
g
th
eir
in
d
iv
id
u
a
l
wea
k
n
ess
es.
Hy
b
r
id
r
ec
o
m
m
e
n
d
atio
n
s
y
s
tem
s
ar
e
wid
ely
u
s
ed
in
e
-
co
m
m
er
ce
,
c
o
n
ten
t
p
latf
o
r
m
s
,
an
d
o
t
h
er
d
o
m
ain
s
wh
er
e
p
er
s
o
n
alize
d
r
ec
o
m
m
en
d
atio
n
s
ar
e
cr
u
cial
f
o
r
u
s
er
en
g
a
g
em
en
t
a
n
d
s
atis
f
ac
tio
n
.
T
h
e
c
h
o
ice
o
f
h
y
b
r
i
d
a
p
p
r
o
ac
h
an
d
its
co
m
p
o
n
en
ts
d
ep
en
d
s
o
n
t
h
e
s
p
ec
if
ic
r
eq
u
ir
em
en
ts
an
d
c
h
ar
ac
ter
is
tics
o
f
th
e
ap
p
licatio
n
.
T
h
er
e
ar
e
s
ev
er
al
c
o
m
m
o
n
ap
p
r
o
ac
h
es to
b
u
ild
in
g
h
y
b
r
id
r
e
co
m
m
en
d
atio
n
s
y
s
tem
s
:
−
W
eig
h
ted
h
y
b
r
id
r
ec
o
m
m
en
d
a
tio
n
:
i
n
a
weig
h
ted
h
y
b
r
id
s
y
s
tem
,
m
u
ltip
le
r
ec
o
m
m
en
d
atio
n
alg
o
r
ith
m
s
(
e.
g
.
,
CF
,
CBF
,
an
d
p
o
p
u
lar
ity
-
b
ased
r
ec
o
m
m
en
d
atio
n
s
)
ar
e
em
p
lo
y
ee
.
E
ac
h
alg
o
r
ith
m
p
r
o
d
u
ce
s
a
s
et
o
f
r
ec
o
m
m
en
d
atio
n
s
,
an
d
th
e
s
y
s
tem
ass
ig
n
s
weig
h
ts
to
th
ese
r
ec
o
m
m
en
d
atio
n
s
to
in
d
icate
t
h
eir
r
elativ
e
im
p
o
r
tan
ce
.
T
h
e
f
in
al
r
ec
o
m
m
en
d
atio
n
is
g
e
n
er
ated
b
y
c
o
m
b
in
in
g
th
e
weig
h
te
d
r
esu
lt
s
f
r
o
m
ea
c
h
alg
o
r
ith
m
.
−
Switch
in
g
h
y
b
r
id
r
ec
o
m
m
en
d
atio
n
:
i
n
a
s
witch
in
g
h
y
b
r
id
s
y
s
tem
,
th
e
r
ec
o
m
m
en
d
atio
n
alg
o
r
ith
m
i
s
ch
o
s
en
b
ased
o
n
ce
r
tain
c
o
n
d
it
io
n
s
o
r
u
s
er
ch
a
r
a
cter
is
tics
.
Fo
r
ex
am
p
le
,
if
t
h
e
s
y
s
tem
d
eter
m
in
es
th
at
a
u
s
er
is
a
n
ew
u
s
er
with
lim
ite
d
in
ter
ac
tio
n
h
is
to
r
y
(
t
h
e
"c
o
l
d
s
tar
t"
p
r
o
b
lem
)
,
it
m
ig
h
t
u
s
e
a
co
n
ten
t
-
b
ased
ap
p
r
o
ac
h
.
Fo
r
u
s
er
s
with
m
o
r
e
h
is
to
r
ical
d
ata,
CF
co
u
ld
b
e
em
p
l
o
y
ed
.
−
C
ascad
e
h
y
b
r
id
r
ec
o
m
m
en
d
atio
n
:
a
ca
s
ca
d
e
h
y
b
r
id
s
y
s
tem
g
e
n
er
ates
r
ec
o
m
m
en
d
atio
n
s
in
s
t
ag
es,
wh
er
e
ea
ch
s
tag
e
r
ef
in
es
th
e
r
esu
lts
o
f
th
e
p
r
e
v
io
u
s
o
n
e
.
Fo
r
ex
am
p
le,
in
th
e
f
ir
s
t
s
tag
e,
a
c
o
n
ten
t
-
b
ase
d
ap
p
r
o
ac
h
m
ig
h
t
g
en
e
r
ate
in
itial
r
ec
o
m
m
en
d
atio
n
s
.
I
n
th
e
s
ec
o
n
d
s
tag
e,
CF
co
u
l
d
b
e
a
p
p
lied
to
f
ilter
an
d
r
ef
in
e
th
ese
in
itial r
ec
o
m
m
e
n
d
atio
n
s
f
u
r
th
er
.
−
Featu
r
e
co
m
b
in
atio
n
h
y
b
r
id
r
ec
o
m
m
en
d
atio
n
:
i
n
a
f
ea
tu
r
e
co
m
b
in
atio
n
h
y
b
r
id
s
y
s
tem
,
f
ea
tu
r
es
f
r
o
m
d
if
f
er
en
t
r
ec
o
m
m
e
n
d
atio
n
a
p
p
r
o
ac
h
es
ar
e
c
o
m
b
in
e
d
in
to
a
s
in
g
le
u
n
if
ied
m
o
d
el.
Fo
r
in
s
ta
n
ce
,
in
a
m
o
v
ie
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
,
f
ea
tu
r
es
f
r
o
m
co
n
ten
t
-
b
ase
d
(
e.
g
.
,
g
en
r
e,
ac
to
r
,
d
i
r
ec
to
r
)
an
d
CF
(
u
s
er
-
u
s
er
o
r
item
-
item
s
im
ilar
ities
)
ap
p
r
o
ac
h
es m
ig
h
t b
e
co
n
ca
ten
ated
an
d
u
s
ed
to
p
r
ed
ict
u
s
er
p
r
ef
er
en
ce
s
.
−
Me
ta
-
lev
el
h
y
b
r
id
r
ec
o
m
m
e
n
d
atio
n
:
i
n
a
m
et
a
-
lev
el
h
y
b
r
id
s
y
s
tem
,
m
u
ltip
le
r
ec
o
m
m
en
d
atio
n
alg
o
r
ith
m
s
o
p
er
ate
in
d
ep
en
d
e
n
tly
an
d
p
r
o
d
u
ce
r
ec
o
m
m
e
n
d
atio
n
s
.
A
s
ep
ar
ate
m
eta
-
lev
el
alg
o
r
ith
m
lear
n
s
to
co
m
b
in
e
an
d
o
p
tim
i
ze
th
e
r
esu
lts
o
f
th
ese
b
ase
alg
o
r
ith
m
s
,
p
o
ten
tially
in
c
o
r
p
o
r
atin
g
u
s
er
f
ee
d
b
ac
k
t
o
d
et
er
m
i
n
e
th
e
f
i
n
a
l r
ec
o
m
m
en
d
atio
n
s
.
−
Par
allel
h
y
b
r
id
r
ec
o
m
m
e
n
d
ati
o
n
:
i
n
a
p
ar
allel
h
y
b
r
id
s
y
s
te
m
,
d
if
f
e
r
en
t
alg
o
r
ith
m
s
r
u
n
in
p
ar
allel,
an
d
th
eir
r
ec
o
m
m
en
d
atio
n
s
ar
e
p
r
esen
ted
to
th
e
u
s
er
s
im
u
ltan
e
o
u
s
ly
.
User
s
ca
n
c
h
o
o
s
e
f
r
o
m
am
o
n
g
t
h
e
r
ec
o
m
m
en
d
atio
n
s
,
an
d
th
e
s
y
s
tem
m
ay
ad
a
p
t its
p
r
esen
tatio
n
b
ased
o
n
u
s
er
in
ter
ac
tio
n
s
an
d
f
ee
d
b
ac
k
.
3
.
3
.
1
.
Adv
a
nta
g
es
E
n
h
an
ce
d
r
ec
o
m
m
e
n
d
atio
n
q
u
ality
:
h
y
b
r
i
d
s
y
s
tem
s
o
f
ten
p
r
o
v
i
d
e
m
o
r
e
ac
cu
r
ate
an
d
d
iv
er
s
e
r
ec
o
m
m
en
d
atio
n
s
b
y
le
v
er
ag
i
n
g
th
e
s
tr
en
g
t
h
s
o
f
d
if
f
e
r
en
t
alg
o
r
ith
m
s
.
Flex
ib
ilit
y
:
t
h
ey
ca
n
h
a
n
d
le
v
ar
io
u
s
r
ec
o
m
m
en
d
atio
n
s
ce
n
ar
io
s
,
in
clu
d
in
g
th
e
c
o
ld
s
tar
t
p
r
o
b
lem
an
d
s
p
ar
s
e
d
ata.
Per
s
o
n
aliza
tio
n
:
t
h
ey
ca
n
ca
ter
to
in
d
iv
id
u
al
u
s
er
p
r
ef
e
r
en
ce
s
m
o
r
e
ef
f
ec
tiv
ely
.
3
.
3
.
2
.
Cha
lleng
es
C
o
m
p
lex
ity
:
d
e
v
elo
p
in
g
an
d
m
ain
tain
in
g
h
y
b
r
id
s
y
s
tem
s
c
an
b
e
m
o
r
e
co
m
p
lex
th
an
s
in
g
le
-
m
eth
o
d
s
y
s
tem
s
.
Par
am
eter
tu
n
in
g
:
d
e
ter
m
in
in
g
t
h
e
r
ig
h
t
weig
h
ts
,
s
tr
ateg
ies,
an
d
al
g
o
r
ith
m
s
ca
n
b
e
ch
allen
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g
a
n
d
m
ay
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eq
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ir
e
o
n
g
o
in
g
tu
n
in
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.
C
o
m
p
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tatio
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al
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er
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d
:
r
u
n
n
in
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m
u
ltip
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r
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m
m
en
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al
g
o
r
it
h
m
s
ca
n
b
e
co
m
p
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tatio
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ally
in
ten
s
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4.
DE
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P
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A
RNING
B
AS
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D
AL
G
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T
H
M
S
U
SE
D
F
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CO
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ased
alg
o
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ith
m
s
ca
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b
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u
s
ed
in
v
ar
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o
m
m
e
n
d
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s
ce
n
a
r
io
s
,
s
u
ch
as
CF
,
C
B
F
,
an
d
h
y
b
r
id
s
y
s
tem
s
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h
ey
o
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eq
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t
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u
n
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to
ac
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o
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m
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Ad
d
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d
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b
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with
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m
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v
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r
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m
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n
d
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p
ab
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T
h
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ch
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Ma
tr
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ac
to
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with
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ac
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o
m
m
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s
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−
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to
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m
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to
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r
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R
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r
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t
n
eu
r
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R
NNs):
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N
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m
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ased
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ter
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m
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lar
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m
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tio
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k
s
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NN
s
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ased
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in
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m
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ith
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3
.
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tab
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R
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f
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d
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d
v
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s
R
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se
a
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h
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ap
[
1
8
]
M
a
t
r
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x
f
a
c
t
o
r
i
z
a
t
i
o
n
(
M
F
)
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t
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t
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.
[
2
3
]
D
u
a
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[
2
4
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[
2
5
]
A
sy
mm
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r
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mat
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.
[
2
6
]
V
a
r
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s
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S
t
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c
h
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q
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e
s f
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CO
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f
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Evaluation Warning : The document was created with Spire.PDF for Python.
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2252
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8
9
3
8
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F
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R
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NC
E
S
[
1
]
T.
I
sl
a
m,
A
.
R
.
Jo
y
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,
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.
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.
[
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]
R
.
K
w
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sk
i
,
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.
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C
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[
3
]
L.
W
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.
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a
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,
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.
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a
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mm
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:
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[
4
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.
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,
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EEE
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sa
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0
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S
S
.
2
0
2
2
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2
3
1
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.
[
5
]
J.
Ji
n
,
H
.
G
u
o
,
J.
X
u
,
X
.
W
a
n
g
,
a
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.
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.
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,
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f
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TS.2
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3
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.
[
6
]
A
.
J.
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