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es
s
am
p
les
f
r
o
m
f
o
u
r
A
q
u
il
a
r
ia
s
p
ec
ies:
A
q
u
ila
r
ia
B
ec
ca
r
ia
n
a
,
A
q
u
ila
r
ia
Ma
la
cc
en
s
is
,
A
q
u
ila
r
ia
C
r
a
s
s
n
a
,
a
n
d
A
q
u
ila
r
ia
S
u
b
in
teg
r
a
.
T
h
e
a
n
aly
s
is
,
co
n
d
u
cted
u
s
in
g
SP
SS
s
o
f
twar
e
v
er
s
io
n
2
6
,
will a
p
p
ly
f
ea
tu
r
e
s
elec
tio
n
to
r
ed
u
ce
th
e
n
u
m
b
e
r
o
f
co
m
p
o
u
n
d
s
,
m
in
im
ize
tim
e
co
n
s
u
m
p
tio
n
,
a
n
d
en
h
an
ce
ef
f
icien
cy
.
B
y
s
y
s
tem
atica
l
ly
id
en
tify
in
g
th
e
m
o
s
t
in
f
lu
en
tial
ess
en
tial
o
il
co
m
p
o
n
e
n
ts
,
th
is
r
esear
c
h
s
ee
k
s
to
r
ef
in
e
ess
en
tial
o
il
class
if
icat
io
n
an
d
im
p
r
o
v
e
in
d
u
s
tr
ial
ap
p
licatio
n
s
s
u
ch
as
ag
ar
wo
o
d
au
th
en
ticatio
n
a
n
d
q
u
ality
co
n
tr
o
l.
R
esear
ch
er
s
h
av
e
u
tili
ze
d
v
a
r
io
u
s
an
aly
ti
ca
l
tech
n
iq
u
es
an
d
s
tatis
tical
m
eth
o
d
s
to
s
elec
t
s
ig
n
if
ican
t
co
m
p
o
u
n
d
s
o
f
ess
en
tial
o
ils
wh
ile
ex
clu
d
in
g
r
ed
u
n
d
an
t
o
n
es
[
7
]
,
[
8
]
.
Ma
lay
s
i
a
an
d
I
n
d
o
n
esia
ar
e
am
o
n
g
th
e
lead
in
g
c
o
u
n
tr
ie
s
cu
ltiv
atin
g
A
q
u
ila
r
ia
tr
ee
s
f
o
r
ag
ar
wo
o
d
p
r
o
d
u
ctio
n
.
T
h
ese
r
eg
io
n
s
a
r
e
r
ec
o
g
n
ized
f
o
r
th
ei
r
ex
ten
s
iv
e
ag
ar
wo
o
d
tr
a
d
e,
co
n
tr
ib
u
ti
n
g
s
ig
n
if
ican
tly
to
th
e
g
lo
b
a
l
m
ar
k
et.
T
ab
le
1
p
r
o
v
id
es
a
n
o
v
er
v
iew
o
f
d
if
f
e
r
en
t
A
q
u
ila
r
ia
s
p
ec
ies
an
d
th
e
ir
d
is
tr
ib
u
tio
n
d
is
p
lay
s
th
e
o
v
er
v
iew
o
f
d
if
f
er
en
t
ty
p
es o
f
A
q
u
ila
r
ia
s
p
ec
ies an
d
th
eir
g
lo
b
al
d
is
tr
ib
u
tio
n
[
9
]
-
[
1
1
]
.
T
a
b
l
e
1
.
T
h
e
o
v
e
r
v
i
e
w
o
f
d
i
f
f
er
e
n
t
t
y
p
e
s
o
f
A
q
u
i
l
a
r
i
a
s
p
e
ci
es
a
n
d
t
h
e
i
r
g
l
o
b
a
l
d
i
s
t
r
i
b
u
t
i
o
n
Aq
u
i
l
a
r
i
a
s
p
e
c
i
e
s
O
r
i
g
i
n
A
g
a
r
w
o
o
d
p
r
o
d
u
c
i
n
g
R
e
f
e
r
e
n
c
e
Aq
u
i
l
a
r
i
a
m
i
c
ro
c
a
r
p
a
M
a
l
a
y
si
a
,
I
n
d
o
n
e
s
i
a
,
S
i
n
g
a
p
o
r
e
Y
e
s
[
9
]
Aq
u
i
l
a
r
i
a
p
a
r
v
i
f
o
l
i
a
P
h
i
l
i
p
p
i
n
e
s
No
[
9
]
Aq
u
i
l
a
r
i
a
ro
st
r
a
t
a
M
a
l
a
y
si
a
Y
e
s
[
9
]
,
[
1
0
]
Aq
u
i
l
a
r
i
a
ru
g
o
s
a
V
i
e
t
n
a
m
No
[
9
]
Aq
u
i
l
a
r
i
a
c
r
a
ss
n
a
C
a
m
b
o
d
i
a
,
M
a
l
a
y
s
i
a
,
T
h
a
i
l
a
n
d
,
V
i
e
t
n
a
m
,
L
a
o
s
,
I
n
d
i
a
Y
e
s
[
9
]
,
[
1
0
]
Aq
u
i
l
a
r
i
a
c
u
m
i
n
g
i
a
n
a
B
o
r
n
e
o
,
I
n
d
o
n
e
s
i
a
,
P
h
i
l
i
p
p
i
n
e
s
Y
e
s
[
9
]
,
[
1
0
]
Aq
u
i
l
a
r
i
a
d
e
c
e
m
c
o
st
a
t
a
P
h
i
l
i
p
p
i
n
e
s
Y
e
s
[
9
]
Aq
u
i
l
a
r
i
a
f
i
l
a
ri
a
P
a
p
u
a
N
e
w
G
u
i
n
e
a
,
I
n
d
o
n
e
si
a
,
Th
a
i
l
a
n
d
,
P
h
i
l
i
p
p
i
n
e
s
Y
e
s
[
9
]
,
[
1
0
]
Aq
u
i
l
a
r
i
a
h
i
rt
a
M
a
l
a
y
si
a
,
I
n
d
o
n
e
s
i
a
,
T
h
a
i
l
a
n
d
Y
e
s
[
9
]
,
[
1
0
]
Aq
u
i
l
a
r
i
a
k
h
a
si
a
n
a
P
a
k
i
st
a
n
,
I
n
d
i
a
No
[
9
]
,
[
1
0
]
Aq
u
i
l
a
r
i
a
m
a
l
a
c
c
e
n
s
i
s
M
a
l
a
y
si
a
,
I
n
d
o
n
e
s
i
a
,
T
h
a
i
l
a
n
d
,
P
h
i
l
i
p
p
i
n
e
s,
S
i
n
g
a
p
o
r
e
,
M
y
a
n
mar,
I
n
d
i
a
,
B
a
n
g
l
a
d
e
s
h
,
B
h
u
t
a
n
,
La
o
s
Y
e
s
[
9
]
,
[
1
0
]
Aq
u
i
l
a
r
i
a
si
n
e
n
s
i
s
C
h
i
n
a
No
[
9
]
,
[
1
0
]
Aq
u
i
l
a
r
i
a
su
b
i
n
t
e
g
r
a
M
a
l
a
y
si
a
,
Th
a
i
l
a
n
d
Y
e
s
[
9
]
,
[
1
0
]
Aq
u
i
l
a
r
i
a
u
r
d
a
n
e
t
e
n
s
i
s
P
h
i
l
i
p
p
i
n
e
s
No
[
9
]
Aq
u
i
l
a
r
i
a
y
u
n
n
a
n
e
n
si
s
Aq
u
i
l
a
r
i
a
g
r
a
n
d
i
f
l
o
ra
Aq
u
i
l
a
r
i
a
o
p
h
i
s
p
e
rm
u
m
Aq
u
i
l
a
r
i
a
p
e
n
t
a
n
d
r
a
C
h
i
n
a
C
h
i
n
a
I
n
d
o
n
e
si
a
B
h
u
t
a
n
,
L
a
o
s
,
T
h
a
i
l
a
n
d
,
M
y
a
n
m
a
r
No
Y
e
s
No
No
[
9
]
[
9
]
[
9
]
[
9
]
Aq
u
i
l
a
r
i
a
a
c
u
m
i
n
a
t
a
P
a
p
u
a
N
e
w
G
u
i
n
e
a
,
I
n
d
o
n
e
si
a
,
Th
a
i
l
a
n
d
,
P
h
i
l
i
p
p
i
n
e
s
Y
e
s
[
9
]
,
[
1
0
]
Aq
u
i
l
a
r
i
a
a
p
i
c
u
l
a
t
a
P
h
i
l
i
p
p
i
n
e
s
Y
e
s
[
9
]
,
[
1
0
]
Aq
u
i
l
a
r
i
a
b
a
i
l
l
o
n
i
i
C
a
m
b
o
d
i
a
,
T
h
a
i
l
a
n
d
,
La
o
s,
V
i
e
t
n
a
m
No
[
9
]
,
[
1
0
]
Aq
u
i
l
a
r
i
a
b
a
n
a
e
n
si
s
V
i
e
t
n
a
m
No
[
9
]
,
[
1
0
]
Aq
u
i
l
a
r
i
a
b
e
c
c
a
r
i
a
n
a
M
a
l
a
y
si
a
,
I
n
d
o
n
e
s
i
a
,
B
o
r
n
e
o
Y
e
s
[
9
]
,
[
1
0
]
Aq
u
i
l
a
r
i
a
b
r
a
c
h
y
a
n
t
h
a
M
a
l
a
y
si
a
,
P
h
i
l
i
p
p
i
n
e
s
Y
e
s
[
9
]
,
[
1
0
]
Aq
u
i
l
a
r
i
a
c
i
t
r
i
n
i
c
a
r
p
a
P
h
i
l
i
p
p
i
n
e
s
No
[
9
]
A
k
ey
ap
p
r
o
ac
h
to
an
aly
zin
g
ess
en
tial
o
il
co
m
p
o
s
itio
n
i
n
v
o
lv
es
th
e
u
s
e
o
f
Pear
s
o
n
co
r
r
elatio
n
m
atr
ices
to
id
en
tify
th
e
r
elatio
n
s
h
ip
b
etwe
en
e
n
v
ir
o
n
m
en
tal
co
n
d
itio
n
s
an
d
th
e
ch
em
ical
p
r
o
f
iles
o
f
ess
en
tial
o
il
[
1
1
]
.
T
h
is
ap
p
r
o
ac
h
allo
ws
r
esear
ch
er
s
to
ex
p
lo
r
e
ec
o
lo
g
ical
p
r
ef
er
en
ce
s
an
d
v
a
r
iatio
n
s
in
ess
en
tial
o
il
co
m
p
o
n
en
ts
,
f
ac
ilit
atin
g
th
e
id
en
tific
atio
n
o
f
c
o
m
p
o
u
n
d
s
t
h
at
ar
e
m
o
s
t
af
f
ec
ted
b
y
s
p
ec
if
ic
en
v
ir
o
n
m
en
tal
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
Un
r
a
ve
lin
g
th
e
r
ela
tio
n
s
h
ip
s
a
mo
n
g
ess
en
tia
l o
il c
o
mp
o
u
n
d
s
…
(
N
u
r
A
th
ir
a
h
S
ya
fiq
a
h
N
o
r
a
mli
)
169
f
ac
to
r
s
.
T
h
r
o
u
g
h
ad
v
a
n
ce
d
s
tatis
tical
an
aly
s
is
,
s
u
ch
as
Pear
s
o
n
’
s
ca
n
o
n
ical
c
o
r
r
elatio
n
an
aly
s
is
(
C
C
A)
,
r
esear
ch
er
s
ca
n
d
eter
m
i
n
e
wh
ich
ess
en
tial
o
il
co
m
p
o
u
n
d
s
e
x
h
ib
it
th
e
s
tr
o
n
g
est
ass
o
ciatio
n
s
with
p
r
ev
ailin
g
en
v
ir
o
n
m
en
tal
co
n
d
itio
n
s
[
7
]
,
[
1
1
]
.
A
s
tu
d
y
an
aly
zin
g
ess
en
tial
o
ils
f
r
o
m
A
p
ia
ce
a
e
f
r
u
its
u
t
ilized
g
as
ch
r
o
m
ato
g
r
a
p
h
ic
-
m
ass
s
p
ec
tr
o
m
etr
ic
an
aly
s
is
,
a
m
eth
o
d
o
lo
g
y
th
at
clo
s
ely
alig
n
s
with
th
e
ap
p
r
o
ac
h
a
d
o
p
ted
in
th
i
s
r
esear
ch
[
1
2
]
.
B
y
in
teg
r
atin
g
a
n
aly
tical
tech
n
i
q
u
es
with
s
tatis
tical
ev
alu
atio
n
,
th
e
s
tu
d
y
s
u
cc
ess
f
u
lly
d
eter
m
in
e
d
o
il
co
m
p
o
s
itio
n
s
an
d
id
e
n
tifie
d
s
ig
n
if
ican
t
co
m
p
o
u
n
d
s
th
r
o
u
g
h
co
r
r
elatio
n
-
b
ased
s
elec
tio
n
.
T
h
ese
f
in
d
in
g
s
h
ig
h
lig
h
t
th
e
im
p
o
r
tan
ce
o
f
c
o
m
b
in
in
g
ch
e
m
ical
p
r
o
f
ilin
g
with
s
tatis
tical
an
aly
s
is
to
r
ef
in
e
th
e
p
r
o
ce
s
s
o
f
co
m
p
o
u
n
d
i
d
en
tific
atio
n
a
n
d
e
n
h
an
ce
th
e
ac
cu
r
ac
y
o
f
ess
en
ti
al
o
il c
h
ar
ac
ter
izatio
n
.
R
ed
u
cin
g
th
e
n
u
m
b
er
o
f
v
ar
i
ab
les
in
an
an
aly
s
is
ca
n
h
elp
lo
wer
co
m
p
u
tatio
n
al
c
o
s
ts
an
d
im
p
r
o
v
e
o
v
er
all
ef
f
icien
cy
[
1
3
]
,
[
1
4
]
.
Pear
s
o
n
’
s
c
o
r
r
elatio
n
co
ef
f
icien
t
will
b
e
u
s
ed
to
m
ea
s
u
r
e
th
e
s
tatis
tica
l
r
elatio
n
s
h
ip
o
r
ass
o
ciatio
n
b
et
wee
n
two
co
n
tin
u
o
u
s
v
ar
iab
le
s
[
1
5
]
.
T
h
is
test
p
r
o
v
id
es
v
al
u
ab
le
in
s
ig
h
ts
in
to
th
e
m
ag
n
itu
d
e
an
d
d
ir
ec
tio
n
o
f
c
o
r
r
elatio
n
s
,
allo
win
g
r
esear
ch
er
s
to
p
i
n
p
o
in
t
s
ig
n
if
ican
t
ch
e
m
ical
co
m
p
o
u
n
d
s
.
T
h
ese
id
e
n
tifie
d
c
o
m
p
o
u
n
d
s
will ser
v
e
as b
en
ch
m
ar
k
s
f
o
r
class
i
f
y
in
g
d
if
f
er
e
n
t
A
q
u
ila
r
ia
s
p
ec
ies,
en
s
u
r
in
g
a
m
o
r
e
s
tr
u
ctu
r
ed
a
n
d
d
ata
-
d
r
iv
en
a
p
p
r
o
ac
h
to
ess
en
tial o
il c
h
ar
ac
ter
izatio
n
.
2.
M
E
T
H
O
D
T
h
e
m
eth
o
d
o
lo
g
y
em
p
lo
y
ed
in
th
is
s
tu
d
y
s
y
s
tem
atica
lly
an
aly
ze
s
th
e
ch
em
ical
co
m
p
o
s
itio
n
o
f
A
q
u
ila
r
ia
ess
en
tial
o
il
s
am
p
l
es,
f
o
cu
s
in
g
o
n
o
p
tim
izin
g
f
ea
tu
r
e
s
elec
tio
n
to
r
ed
u
ce
p
r
o
ce
s
s
in
g
tim
e
an
d
ad
d
r
ess
m
u
ltico
llin
ea
r
ity
.
T
h
e
ap
p
r
o
ac
h
was
d
esig
n
e
d
to
en
s
u
r
e
ac
cu
r
ate
d
ata
c
o
llectio
n
an
d
th
e
p
r
ec
is
e
id
en
tific
atio
n
o
f
s
ig
n
if
ican
t
ch
em
ical
co
m
p
o
u
n
d
s
.
B
y
r
ef
in
in
g
th
e
an
aly
s
is
p
r
o
ce
s
s
,
th
e
s
tu
d
y
aim
s
to
en
h
an
ce
co
m
p
u
tatio
n
al
e
f
f
icien
cy
w
h
ile
m
ain
tain
in
g
p
r
ec
is
io
n
in
c
h
e
m
ical
p
r
o
f
ilin
g
.
T
h
e
d
is
cu
s
s
io
n
is
d
iv
i
d
ed
i
n
to
two
m
ain
s
u
b
s
ec
tio
n
s
:
2
.
1
s
a
m
p
le
d
ata
c
o
llectio
n
a
n
d
2
.
2
c
o
r
r
elatio
n
an
aly
s
is
f
o
r
f
ea
tu
r
e
s
elec
tio
n
.
T
h
e
f
ir
s
t
s
u
b
s
ec
tio
n
d
escr
ib
es
th
e
p
r
o
ce
d
u
r
es
f
o
r
co
llectin
g
an
d
ch
ar
ac
ter
izi
n
g
s
am
p
les,
en
s
u
r
in
g
co
n
s
is
ten
cy
an
d
r
eliab
ilit
y
in
d
ata
ac
q
u
is
itio
n
.
T
h
e
s
ec
o
n
d
s
u
b
s
ec
tio
n
d
etails
th
e
s
tati
s
tical
tech
n
iq
u
es
u
s
ed
to
ass
ess
r
elatio
n
s
h
ip
s
am
o
n
g
th
e
ch
em
ical
co
m
p
o
u
n
d
s
,
en
ab
lin
g
th
e
id
en
tific
atio
n
o
f
s
ig
n
if
ican
t
f
ea
tu
r
es.
B
y
f
o
cu
s
i
n
g
o
n
ess
en
tial
v
ar
iab
les,
th
e
m
eth
o
d
o
l
o
g
y
m
in
im
izes
r
ed
u
n
d
an
cy
,
s
tr
ea
m
lin
es
th
e
a
n
aly
s
is
an
d
s
ig
n
if
ican
tly
r
ed
u
ce
s
co
m
p
u
tatio
n
al
tim
e
th
er
eb
y
im
p
r
o
v
i
n
g
th
e
o
v
er
al
l
ef
f
icien
cy
o
f
th
e
p
r
o
f
ilin
g
p
r
o
ce
s
s
.
2
.
1
.
Sa
m
ple da
t
a
c
o
llect
io
n
T
h
e
A
q
u
ila
r
ia
ess
en
tial
o
il
s
am
p
les
wer
e
cr
ea
ted
b
y
th
e
B
AR
C
E
at
UM
P
SA.
T
h
e
ess
en
tial
o
il
wer
e
ex
tr
ac
ted
u
s
in
g
GC
-
MS
co
u
p
l
ed
with
t
h
e
GC
-
FID
tech
n
i
q
u
e.
T
h
is
m
et
h
o
d
allo
ws
f
o
r
p
r
ec
is
e
id
en
tific
atio
n
an
d
q
u
an
tific
atio
n
o
f
ess
en
tial
o
il
co
m
p
o
n
en
ts
,
e
n
s
u
r
in
g
r
eliab
le
d
ata
f
o
r
f
u
r
th
er
an
aly
s
is
.
A
to
tal
o
f
7
2
0
s
am
p
les,
ea
ch
co
n
tain
in
g
s
ix
d
if
f
er
en
t
c
h
em
ical
co
m
p
o
u
n
d
s
,
wer
e
an
aly
ze
d
.
T
h
e
c
o
m
p
o
u
n
d
s
ar
e
β
-
s
elin
en
e,
d
ih
y
d
r
o
-
β
-
ag
ar
o
f
u
r
a
n
,
δ
-
g
u
ai
en
e,
1
0
-
ep
i
-
γ
-
eu
d
esm
o
l,
γ
-
eu
d
esm
o
l
an
d
p
en
tad
ec
an
o
ic
ac
id
,
id
en
tifie
d
as
ac
r
o
n
y
m
s
A,
B
,
C
,
D,
E
,
an
d
F.
T
h
e
d
ataset
co
m
p
r
is
es
es
s
en
tial
o
il
s
am
p
les
f
r
o
m
f
o
u
r
A
q
u
ila
r
ia
s
p
ec
ies:
A
q
u
ila
r
ia
b
ec
c
a
r
ia
n
a
(
AB
)
,
A
q
u
ila
r
ia
ma
la
cc
en
s
is
(
AM
)
,
A
q
u
ila
r
ia
cra
s
s
n
a
(
AC
)
,
a
n
d
A
q
u
ila
r
ia
s
u
b
in
teg
r
a
(
AS)
.
T
h
ese
s
p
ec
ies
wer
e
s
elec
ted
d
u
e
to
th
ei
r
s
ig
n
if
ic
an
ce
in
a
g
ar
wo
o
d
p
r
o
d
u
ctio
n
an
d
th
eir
d
is
tin
ct
ch
em
ical
co
m
p
o
s
itio
n
s
.
T
h
e
p
ea
k
ar
ea
(
%)
m
ea
s
u
r
e
m
en
ts
o
b
tain
e
d
f
r
o
m
th
e
GC
-
MS
an
d
GC
-
FID
an
aly
s
es
in
d
icate
th
e
r
elativ
e
co
n
ce
n
tr
atio
n
lev
els
o
f
ea
ch
co
m
p
o
u
n
d
in
d
if
f
er
e
n
t
A
q
u
ila
r
ia
s
p
ec
ies.
T
h
is
q
u
an
ti
tativ
e
in
f
o
r
m
atio
n
was
ess
en
tial
f
o
r
ca
teg
o
r
izin
g
s
ig
n
if
ican
t
ch
em
ical
co
m
p
o
u
n
d
s
an
d
ass
ess
in
g
th
eir
v
ar
iab
i
l
ity
am
o
n
g
s
p
ec
ies.
B
y
an
aly
zin
g
th
ese
v
ar
iatio
n
s
,
th
is
r
esear
ch
aim
ed
to
id
en
tify
s
ig
n
if
ican
t
ch
em
ic
al
co
m
p
o
u
n
d
s
f
o
r
d
is
tin
g
u
is
h
in
g
d
if
f
er
en
t
A
q
u
ila
r
ia
s
p
ec
ies an
d
o
p
tim
izin
g
f
ea
tu
r
e
s
elec
tio
n
.
2
.
2
.
Co
rr
el
a
t
io
n a
na
ly
s
is
f
o
r
f
ea
t
ure
s
elec
t
io
n
Featu
r
e
s
elec
tio
n
is
a
cr
i
tical
s
tep
th
at
in
v
o
lv
es
r
ed
u
cin
g
th
e
n
u
m
b
er
o
f
in
p
u
t
v
ar
ia
b
les
to
en
h
an
ce
co
m
p
u
tatio
n
al
ef
f
icien
c
y
an
d
m
in
im
ize
p
r
o
ce
s
s
in
g
tim
e
[
1
4
]
.
C
o
r
r
elatio
n
a
n
aly
s
is
,
s
p
ec
if
ically
Pear
s
o
n
’
s
co
r
r
elatio
n
c
o
ef
f
icien
t,
is
co
m
m
o
n
ly
u
s
ed
to
ev
a
l
u
ate
t
h
e
r
elatio
n
s
h
ip
b
etwe
en
v
ar
iab
les.
A
p
o
s
itiv
e
co
r
r
elatio
n
in
d
icate
s
th
at
two
f
ea
tu
r
es
in
cr
ea
s
e
o
r
d
ec
r
ea
s
e
t
o
g
eth
er
,
wh
ile
a
n
e
g
ativ
e
c
o
r
r
elatio
n
s
u
g
g
ests
a
n
in
v
er
s
e
r
elatio
n
s
h
ip
wh
e
r
e
o
n
e
f
ea
tu
r
e
in
cr
ea
s
es a
s
th
e
o
th
e
r
d
ec
r
ea
s
es
[
1
5
]
.
T
ab
le
2
p
r
esen
ts
th
e
in
ter
p
r
eta
tio
n
o
f
co
r
r
elatio
n
co
ef
f
icien
ts
,
wh
ich
ar
e
u
s
ed
to
m
ea
s
u
r
e
th
e
s
tr
en
g
th
an
d
d
ir
ec
ti
o
n
o
f
th
e
r
elatio
n
s
h
ip
b
etwe
en
two
v
ar
iab
les.
T
h
e
tab
le
p
r
o
v
id
es
a
g
en
er
al
in
ter
p
r
etatio
n
o
f
th
e
s
ize
o
f
th
e
co
r
r
elatio
n
co
ef
f
icien
t
an
d
th
e
co
r
r
esp
o
n
d
i
n
g
s
tr
en
g
th
o
f
th
e
r
elatio
n
s
h
i
p
.
Acc
o
r
d
in
g
to
T
ab
le
2
,
a
co
r
r
elatio
n
co
ef
f
icien
t
b
etwe
en
0
.
8
an
d
1
.
0
in
d
icate
s
a
v
er
y
s
tr
o
n
g
r
elatio
n
s
h
ip
b
etwe
en
t
h
e
v
ar
iab
les,
wh
ile
a
co
ef
f
icien
t b
etwe
en
0
.
6
an
d
0
.
7
9
s
u
g
g
ests
a
s
tr
o
n
g
r
elatio
n
s
h
ip
.
A
m
o
d
e
r
ate
r
elatio
n
s
h
ip
is
i
n
d
icate
d
b
y
a
co
ef
f
icien
t
b
etwe
e
n
0
.
4
a
n
d
0
.
5
9
,
an
d
a
wea
k
r
e
latio
n
s
h
ip
is
r
ep
r
esen
ted
b
y
a
co
ef
f
icien
t b
etwe
en
0
.
2
an
d
0
.
3
9
.
Fin
ally
,
a
co
ef
f
icien
t b
etwe
en
0
.
0
an
d
0
.
1
9
is
in
ter
p
r
eted
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
3
9
,
No
.
1
,
Ju
ly
20
25
:
1
67
-
1
77
170
as
a
wea
k
o
r
n
o
r
elatio
n
s
h
ip
b
etwe
en
th
e
v
a
r
iab
les
[
1
6
]
.
T
h
es
e
class
if
icatio
n
s
p
r
o
v
i
d
e
a
g
u
id
elin
e
f
o
r
s
elec
tin
g
th
e
m
o
s
t r
elev
an
t f
ea
tu
r
es wh
ile
elim
in
atin
g
less
s
i
g
n
if
ican
t o
n
es.
T
ab
le
2
.
I
n
ter
p
r
etin
g
a
co
r
r
elat
io
n
co
ef
f
icien
t
[
1
6
]
S
i
z
e
o
f
t
h
e
c
o
r
r
e
l
a
t
i
o
n
C
o
e
f
f
i
c
i
e
n
t
g
e
n
e
r
a
l
i
n
t
e
r
p
r
e
t
a
t
i
o
n
0
.
8
t
o
1
.
0
V
e
r
y
s
t
r
o
n
g
r
e
l
a
t
i
o
n
s
h
i
p
0
.
6
t
o
0
.
7
9
S
t
r
o
n
g
r
e
l
a
t
i
o
n
s
h
i
p
0
.
4
t
o
0
.
5
9
M
o
d
e
r
a
t
e
r
e
l
a
t
i
o
n
s
h
i
p
0
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2
t
o
0
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3
9
W
e
a
k
r
e
l
a
t
i
o
n
s
h
i
p
0
.
0
t
o
0
.
1
9
W
e
a
k
o
r
n
o
r
e
l
a
t
i
o
n
sh
i
p
Hig
h
ly
co
r
r
elate
d
in
d
e
p
en
d
e
n
t
f
ea
tu
r
es
ar
e
co
n
s
id
er
ed
r
e
d
u
n
d
an
t,
lead
in
g
t
o
in
cr
ea
s
ed
p
r
o
ce
s
s
in
g
tim
e
an
d
in
ef
f
icien
t
co
m
p
u
tat
io
n
s
[
1
7
]
.
T
h
er
ef
o
r
e,
it
is
cr
u
cial
to
id
en
tify
an
d
elim
in
ate
h
ig
h
ly
co
r
r
elate
d
f
ea
tu
r
es
to
s
tr
ea
m
lin
e
d
ata
an
aly
s
is
wh
ile
r
etai
n
in
g
th
e
m
o
s
t
in
f
o
r
m
ativ
e
co
m
p
o
u
n
d
s
[
1
8
]
.
Featu
r
e
s
elec
tio
n
m
eth
o
d
s
ar
e
d
esig
n
e
d
to
d
ec
r
e
ase
co
m
p
u
tatio
n
tim
e,
e
n
h
an
c
e
ef
f
icien
cy
,
an
d
p
r
o
v
i
d
e
d
ee
p
er
in
s
ig
h
ts
in
to
th
e
d
ata
[
1
9
]
.
B
y
em
p
lo
y
in
g
f
ea
tu
r
e
s
elec
tio
n
tech
n
i
q
u
es,
r
esear
ch
e
r
s
ca
n
p
in
p
o
in
t
in
f
l
u
en
tial
f
ea
tu
r
e
s
,
d
is
ca
r
d
ir
r
elev
an
t
o
r
r
e
d
u
n
d
an
t
o
n
es,
an
d
estab
lis
h
a
n
ew
f
ea
tu
r
e
s
et
th
at
im
p
r
o
v
es
co
m
p
u
tatio
n
al
ef
f
icien
cy
[
2
0
]
.
Acc
o
r
d
in
g
to
th
e
f
in
d
in
g
s
in
[
2
1
]
,
s
tatis
tical
an
aly
s
is
u
s
in
g
a
Pear
s
o
n
co
r
r
elatio
n
m
atr
ix
was
s
u
cc
ess
f
u
lly
em
p
lo
y
ed
to
d
eter
m
in
e
t
h
e
in
s
ec
ticid
al
p
r
o
p
er
ties
o
f
ess
en
tial
o
ils
f
r
o
m
Pip
er
s
p
ec
ies.
T
h
e
s
tu
d
y
f
o
u
n
d
th
at
th
e
in
s
ec
ticid
al
ac
tiv
ity
was
p
r
im
ar
ily
attr
ib
u
te
d
to
s
p
ec
if
i
c
co
m
p
o
u
n
d
s
,
s
u
ch
as
ca
m
p
h
en
e,
α
-
p
in
en
e,
a
n
d
β
-
p
in
en
e,
h
ig
h
lig
h
tin
g
th
e
ef
f
ec
tiv
en
ess
o
f
u
s
in
g
co
r
r
elatio
n
an
aly
s
is
to
id
en
tify
s
ig
n
if
ican
t
co
m
p
o
u
n
d
s
.
I
n
th
is
r
esear
ch
,
co
m
p
o
u
n
d
s
with
co
r
r
elatio
n
co
ef
f
icie
n
ts
ab
o
v
e
0
.
8
wer
e
co
n
s
id
er
e
d
r
e
d
u
n
d
a
n
t
an
d
wer
e
r
em
o
v
ed
t
o
o
p
tim
ize
co
m
p
u
tatio
n
al
r
eso
u
r
ce
s
wh
ile
p
r
eser
v
in
g
ess
en
tial
ch
e
m
ical
in
f
o
r
m
atio
n
.
B
y
ap
p
ly
in
g
th
is
m
eth
o
d
,
th
e
d
ataset
was
r
ef
in
e
d
t
o
r
etain
th
e
m
o
s
t
s
ig
n
if
ican
t
co
m
p
o
u
n
d
s
wh
ile
e
n
s
u
r
in
g
th
at
co
m
p
u
tatio
n
al
ef
f
icien
cy
was m
ax
im
ized
with
o
u
t u
n
n
ec
ess
ar
y
co
m
p
lex
ity
.
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
T
h
e
r
esear
ch
f
in
d
in
g
s
h
ig
h
lig
h
t
th
e
ch
em
ical
co
m
p
o
s
itio
n
ess
en
tial
o
ils
d
er
iv
ed
f
r
o
m
f
o
u
r
A
q
u
ila
r
ia
s
p
ec
ies,
with
a
f
o
cu
s
o
n
id
e
n
tify
in
g
th
e
m
o
s
t
s
ig
n
if
ican
t
c
h
em
ical
co
m
p
o
u
n
d
s
th
r
o
u
g
h
Pear
s
o
n
co
r
r
elatio
n
an
aly
s
is
.
T
h
is
ap
p
r
o
ac
h
en
ab
l
es
ef
f
ec
tiv
e
f
ea
tu
r
e
s
elec
tio
n
,
o
p
tim
izin
g
th
e
an
aly
tical
p
r
o
ce
s
s
,
to
ef
f
icien
cy
an
d
r
ed
u
ce
co
m
p
u
tatio
n
al
tim
e.
T
h
e
f
in
d
in
g
s
ar
e
illu
s
tr
ated
u
s
in
g
f
ig
u
r
es,
tab
les,
an
d
v
is
u
al
to
o
ls
s
u
ch
as
th
e
co
r
r
elatio
n
m
atr
ix
an
d
Ven
n
d
iag
r
a
m
,
wh
ich
h
ig
h
lig
h
t
th
e
r
elatio
n
s
h
ip
s
b
etwe
en
d
if
f
er
en
t
c
h
em
ical
co
m
p
o
u
n
d
s
.
T
h
ese
v
is
u
al
aid
s
ef
f
ec
tiv
ely
illu
s
tr
ate
th
e
r
elat
io
n
s
h
ip
s
am
o
n
g
c
h
em
ical
co
m
p
o
u
n
d
s
,
p
r
o
v
id
i
n
g
clea
r
in
s
ig
h
ts
in
to
th
eir
in
ter
d
ep
en
d
en
cies.
Su
ch
r
ep
r
esen
tatio
n
s
s
im
p
lify
th
e
id
en
tifi
ca
tio
n
o
f
ess
en
tial
f
ea
tu
r
es
wh
ile
d
is
tin
g
u
is
h
in
g
th
em
f
r
o
m
r
ed
u
n
d
a
n
t
o
n
es.
Un
d
er
s
tan
d
in
g
th
ese
co
r
r
ela
tio
n
s
is
cr
u
cial
f
o
r
r
ef
in
in
g
t
h
e
d
ataset
an
d
im
p
r
o
v
in
g
co
m
p
u
tatio
n
al
e
f
f
icien
cy
.
T
h
e
d
is
cu
s
s
io
n
is
o
r
g
a
n
ized
i
n
to
two
s
u
b
s
ec
tio
n
s
:
3
.
1
.
o
v
e
r
v
i
ew
o
f
A
q
u
ila
r
ia
ess
en
tial
o
il
f
ea
tu
r
e
s
elec
t
io
n
,
wh
ich
o
u
tli
n
es
th
e
f
ea
tu
r
e
s
elec
tio
n
p
r
o
ce
s
s
,
a
n
d
3
.
2
.
an
aly
s
is
o
f
th
e
co
r
r
elatio
n
m
atr
ix
an
d
im
p
licatio
n
s
f
o
r
f
ea
tu
r
e
s
elec
tio
n
,
wh
ich
ex
am
in
es
th
e
id
e
n
tifie
d
co
r
r
elatio
n
s
an
d
th
eir
r
o
le
in
elim
in
atin
g
r
ed
u
n
d
an
cy
f
ea
tu
r
es.
B
y
r
ed
u
c
in
g
r
ed
u
n
d
an
cy
in
th
e
d
ataset,
th
is
ap
p
r
o
ac
h
e
n
h
an
ce
s
co
m
p
u
tatio
n
al
ef
f
icien
cy
wh
ile
p
r
eser
v
in
g
t
h
e
in
teg
r
ity
o
f
th
e
ch
e
m
ical
an
aly
s
is
.
3
.
1
.
O
v
er
v
iew
o
f
A
q
uil
a
r
ia
ess
ent
ia
l o
il f
ea
t
ure
s
elec
t
io
n
C
o
r
r
elatio
n
an
aly
s
is
is
u
s
ed
to
s
elec
t
f
ea
tu
r
es
o
f
A
q
u
il
a
r
ia
ess
en
tial
o
il
f
r
o
m
ag
ar
wo
o
d
tr
ee
s
,
s
p
ec
if
ically
f
o
cu
s
in
g
o
n
f
o
u
r
s
p
ec
ies
:
A
q
u
ila
r
ia
B
ec
c
a
r
ia
n
a
,
A
q
u
ila
r
ia
Ma
la
cc
en
s
is
,
A
q
u
ila
r
ia
C
r
a
s
s
n
a
,
an
d
A
q
u
ila
r
ia
S
u
b
in
teg
r
a
.
T
a
b
le
3
d
is
p
lay
s
th
at
th
e
d
ataset
co
n
s
is
ts
o
f
7
2
0
s
am
p
les
co
llected
f
r
o
m
th
ese
f
o
u
r
s
p
ec
ies.
Six
k
ey
ch
em
ical
co
m
p
o
u
n
d
s
-
β
-
s
el
in
en
e,
d
ih
y
d
r
o
-
β
-
ag
ar
o
f
u
r
a
n
,
δ
-
g
u
aien
e,
1
0
-
ep
i
-
γ
-
eu
d
esm
o
l,
γ
-
eu
d
esm
o
l,
an
d
p
en
tad
ec
a
n
o
i
c
ac
id
-
d
en
o
ted
as
A,
B
,
C
,
D,
E
,
an
d
F,
wer
e
s
elec
ted
f
o
r
t
h
is
r
esear
ch
d
u
e
to
th
eir
co
n
s
is
ten
t
p
r
esen
ce
ac
r
o
s
s
all
f
o
u
r
A
q
u
ila
r
ia
s
p
ec
ies,
an
d
th
eir
p
r
o
m
i
n
en
t
p
ea
k
ar
e
as
(
%)
in
th
e
g
as
ch
r
o
m
ato
g
r
ap
h
y
r
esu
lts
[
2
2
]
.
T
h
ese
co
m
p
o
u
n
d
s
h
av
e
b
ee
n
wid
ely
ac
k
n
o
wled
g
e
d
in
p
r
ev
io
u
s
r
esear
ch
as
cr
itical
m
ar
k
er
s
o
f
ag
ar
wo
o
d
q
u
ality
,
as
th
e
y
p
lay
a
s
ig
n
if
ican
t
r
o
le
in
s
h
ap
in
g
t
h
e
d
is
tin
ctiv
e
f
r
a
g
r
an
ce
an
d
c
h
em
ical
co
m
p
o
s
itio
n
o
f
Aq
u
ila
r
ia
ess
en
tial
o
ils
[
2
3
]
.
No
ta
b
ly
,
c
o
m
p
o
u
n
d
s
A,
C
,
a
n
d
E
ar
e
f
r
eq
u
en
tly
lin
k
ed
to
th
e
ch
ar
ac
ter
is
tic
ar
o
m
a
an
d
r
es
in
o
u
s
co
n
ten
t
o
f
a
g
ar
wo
o
d
o
ils
,
m
ak
i
n
g
th
em
im
p
o
r
ta
n
t
co
m
p
o
u
n
d
s
f
o
r
d
is
tin
g
u
is
h
in
g
b
etwe
en
s
p
ec
ie
s
.
Ad
d
itio
n
ally
,
co
m
p
o
u
n
d
s
B
an
d
D
h
a
v
e
b
ee
n
i
d
en
tifie
d
as
co
m
p
o
u
n
d
s
th
at
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
Un
r
a
ve
lin
g
th
e
r
ela
tio
n
s
h
ip
s
a
mo
n
g
ess
en
tia
l o
il c
o
mp
o
u
n
d
s
…
(
N
u
r
A
th
ir
a
h
S
ya
fiq
a
h
N
o
r
a
mli
)
171
co
n
tr
ib
u
te
to
t
h
e
b
io
lo
g
ical
ac
tiv
ities
o
f
ag
ar
wo
o
d
o
ils
[
2
4
]
.
W
h
ile
p
en
tad
ec
an
o
ic
ac
id
is
less
co
m
m
o
n
ly
en
co
u
n
ter
e
d
,
it
s
er
v
es
as
a
s
ec
o
n
d
ar
y
m
ar
k
er
f
o
r
s
p
ec
ies
-
s
p
ec
if
ic
v
ar
iatio
n
s
.
T
h
er
ef
o
r
e
,
th
e
s
e
s
ix
co
m
p
o
u
n
d
s
wer
e
s
elec
ted
b
ased
o
n
th
eir
r
eliab
le
p
r
esen
ce
a
n
d
s
ig
n
if
ic
an
t
p
ea
k
a
r
ea
s
in
GC
-
MS
co
u
p
led
with
GC
-
FID
an
aly
s
is
ac
r
o
s
s
th
e
s
p
ec
ies.
T
h
ese
co
m
p
o
u
n
d
s
p
r
o
v
id
e
d
th
e
in
p
u
t
f
o
r
th
e
class
if
icatio
n
s
y
s
tem
,
wh
er
ea
s
th
e
ch
em
ical
co
m
p
o
s
itio
n
o
f
th
e
f
o
u
r
A
q
u
ila
r
ia
s
p
ec
ies
was
d
et
er
m
in
ed
as
th
e
o
u
tp
u
t.
SP
SS
v
er
s
io
n
2
6
was
u
s
ed
to
co
n
d
u
ct
th
e
an
al
y
s
is
.
T
ab
le
3
.
Data
s
ets o
f
ch
em
ical
co
m
p
o
u
n
d
s
an
d
p
ea
k
ar
ea
s
f
o
r
ea
ch
A
q
u
ila
r
ia
s
p
ec
ies
C
o
d
e
C
h
e
mi
c
a
l
c
o
m
p
o
u
n
d
s
I
n
d
e
n
t
.
M
o
d
e
P
e
a
k
a
r
e
a
(
%)
AB
AM
AC
AS
A
β
-
sel
i
n
e
n
e
F
I
D
,
M
S
0
.
6
6
0
.
5
6
0
.
1
1
0
.
3
7
B
d
i
h
y
r
o
-
β
-
a
g
a
r
o
f
u
r
a
n
F
I
D
,
M
S
1
.
2
5
0
.
5
5
0
.
4
8
0
.
4
4
C
δ
-
g
u
a
i
e
n
e
F
I
D
,
M
S
0
.
7
4
2
.
0
2
0
.
2
1
0
.
3
5
D
10
-
e
p
i
-
γ
-
e
u
d
e
sm
o
l
F
I
D
,
M
S
0
.
3
4
6
.
7
3
2
.
5
4
2
.
1
6
E
γ
-
e
u
d
e
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o
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ip
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o
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r
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(
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2
5
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.
=
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W
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in
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f
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2
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I
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d
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J
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&
C
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Vo
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3
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1
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20
25
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1
67
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172
A
s
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6
5
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A
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co
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C
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r
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4
5
2
8
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.
T
h
e
s
e
f
in
d
in
g
s
h
ig
h
lig
h
t
th
e
n
ec
ess
ity
o
f
f
ea
tu
r
e
s
elec
tio
n
m
e
th
o
d
s
to
m
in
im
ize
r
ed
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n
d
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cy
a
n
d
e
n
h
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ce
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o
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p
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tatio
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Neg
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th
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o
m
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h
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its
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o
d
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te
n
eg
ativ
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co
r
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n
with
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d
D
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r
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-
0
.
5
2
8
4
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n
d
a
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n
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with
co
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E
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7
3
9
4
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T
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s
e
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s
h
ip
s
s
u
g
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ch
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ter
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n
s
o
r
m
u
tu
al
ex
cl
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s
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ity
in
A
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tial o
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m
p
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s
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n
.
Ad
d
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ally
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C
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s
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Su
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icate
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t
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ter
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ip
s
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th
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c
o
m
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d
s
,
s
u
g
g
esti
n
g
p
o
s
s
ib
le
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n
d
an
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R
etain
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g
h
ig
h
ly
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r
elate
d
f
ea
tu
r
es
ca
n
in
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e
co
m
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al
tim
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a
n
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c
o
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e
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ak
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tim
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o
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th
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f
ea
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e
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tec
h
n
iq
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p
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o
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v
e
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i
g
h
ly
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d
c
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m
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d
s
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s
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r
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g
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tr
ea
m
lin
e
d
d
atase
t
wh
ile
m
ain
tain
in
g
ess
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tial
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em
ical
in
f
o
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m
atio
n
.
A
s
i
m
ilar
ap
p
r
o
ac
h
was
r
ep
o
r
ted
in
[
7
]
,
wh
er
e
co
r
r
ela
tio
n
an
aly
s
is
lin
k
ed
th
e
ch
em
ical
co
m
p
o
s
itio
n
o
f
C
en
ta
u
r
ea
ess
en
tial
o
ils
with
an
tim
icr
o
b
ial
ac
tiv
ity
,
d
em
o
n
s
tr
atin
g
th
e
u
tili
ty
o
f
co
r
r
elatio
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an
aly
s
is
in
r
ed
u
ci
n
g
r
e
d
u
n
d
a
n
cy
an
d
en
h
a
n
cin
g
ef
f
icien
cy
.
T
ab
le
4
p
r
o
v
id
es
a
s
u
m
m
a
r
y
o
f
h
o
w
well
ea
ch
c
o
m
p
o
u
n
d
ca
n
ex
p
lain
s
o
th
e
r
s
in
t
h
e
d
ataset.
C
o
m
p
o
u
n
d
A
ca
n
ef
f
ec
tiv
ely
ex
p
lain
s
co
m
p
o
u
n
d
s
B
an
d
C
,
in
d
icatin
g
th
at
it
ca
p
tu
r
es
k
ey
ch
ar
ac
ter
is
tics
s
h
ar
ed
with
th
ese
two
co
m
p
o
u
n
d
s
.
Similar
ly
,
co
m
p
o
u
n
d
s
B
an
d
C
ex
h
ib
it
s
tr
o
n
g
ex
p
lan
ato
r
y
p
o
wer
,
in
f
lu
en
cin
g
co
m
p
o
u
n
d
s
A,
D,
an
d
E
.
T
h
is
s
h
o
ws
th
at
th
ese
two
co
m
p
o
u
n
d
s
h
a
v
e
a
b
r
o
ad
i
n
f
lu
en
ce
with
in
th
e
d
ataset
an
d
m
ay
r
ep
r
esen
t c
r
iti
ca
l f
ea
tu
r
es.
T
ab
le
4
.
I
n
ter
p
r
etatio
n
o
f
Pear
s
o
n
’
s
co
r
r
elatio
n
s
C
o
m
p
o
u
n
d
s
C
a
n
e
x
p
l
a
i
n
(
c
o
m
p
o
u
n
d
s)
A
B
,
C
B
A
,
D
,
E
C
A
,
D
,
E
D
B
,
C
,
E
E
B
,
C
,
D
,
F
F
E
C
o
m
p
o
u
n
d
D
also
d
em
o
n
s
tr
at
es
s
tr
o
n
g
ex
p
lan
ato
r
y
p
o
wer
,
as
it
ca
n
ex
p
lain
co
m
p
o
u
n
d
s
B
,
C
,
an
d
E
well.
T
h
is
s
u
g
g
ests
th
at
it
p
lay
s
a
ce
n
tr
al
r
o
le
i
n
co
n
n
ec
tin
g
o
th
er
f
ea
tu
r
es
with
in
th
e
d
a
taset.
C
o
m
p
o
u
n
d
E
s
tan
d
s
o
u
t
as th
e
m
o
s
t in
ter
co
n
n
ec
ted
,
as it c
an
ex
p
lain
f
o
u
r
o
th
er
co
m
p
o
u
n
d
s
-
B
,
C
,
D,
an
d
F in
d
icatin
g
th
at
it
ca
r
r
ies
s
ig
n
if
ican
t
in
f
o
r
m
atio
n
ab
o
u
t
th
e
d
ataset
’
s
s
tr
u
ctu
r
e.
Fin
ally
,
co
m
p
o
u
n
d
F,
wh
ile
m
o
r
e
lim
ited
,
s
till
ex
p
lain
s
co
m
p
o
u
n
d
E
e
f
f
ec
tiv
ely
,
wh
ich
h
ig
h
li
g
h
ts
a
s
p
ec
if
ic
b
u
t
im
p
o
r
tan
t
r
elatio
n
s
h
ip
b
etwe
en
th
ese
two
co
m
p
o
u
n
d
s
.
Ho
wev
er
,
co
m
p
o
u
n
d
s
B
an
d
C
h
av
e
s
im
ilar
ex
p
lan
ato
r
y
p
o
wer
,
p
ar
tic
u
lar
ly
f
o
r
c
o
m
p
o
u
n
d
s
A,
D,
an
d
E
.
T
o
ad
d
r
ess
th
e
is
s
u
e
o
f
m
u
ltico
llin
ea
r
ity
,
co
m
p
o
u
n
d
B
h
as
b
ee
n
ch
o
s
en
as
th
e
r
e
p
r
esen
tativ
e
f
ea
tu
r
e
f
r
o
m
th
is
p
air
d
u
e
to
its
b
r
o
a
d
er
ex
p
lan
at
o
r
y
s
ig
n
if
ican
ce
a
n
d
co
n
n
ec
tio
n
s
.
T
h
is
s
tep
r
ed
u
ce
s
r
ed
u
n
d
a
n
cy
in
th
e
d
ataset
an
d
en
s
u
r
es
a
m
o
r
e
ef
f
icien
t
an
aly
s
is
.
T
h
u
s
,
th
e
m
o
s
t
s
ig
n
if
ican
t
co
m
p
o
u
n
d
s
f
o
r
th
e
Pear
s
o
n
co
r
r
elatio
n
a
r
e
B
,
D,
an
d
E
.
Usi
n
g
th
ese
th
r
ee
k
e
y
co
m
p
o
u
n
d
s
,
it
is
p
o
s
s
ib
le
to
ex
p
lain
all
s
ix
co
m
p
o
u
n
d
s
th
at
d
is
tin
g
u
is
h
th
e
A
q
u
ila
r
ia
ess
e
n
tial o
il.
A
Ven
n
d
iag
r
am
in
Fig
u
r
e
2
v
is
u
ally
r
ep
r
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ts
th
e
o
v
er
lap
p
in
g
co
r
r
elatio
n
s
am
o
n
g
k
ey
co
m
p
o
u
n
d
s
in
A
q
u
ila
r
ia
ess
en
tial
o
il
s
.
I
t
h
ig
h
lig
h
ts
co
m
p
o
u
n
d
s
B
,
E
,
an
d
D
as
ce
n
tr
al
co
m
p
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n
d
s
,
e
f
f
ec
tiv
ely
ca
p
tu
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g
s
h
ar
ed
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ical
ch
ar
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ter
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tics
.
C
o
m
p
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d
B
,
e
x
h
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tin
g
b
o
th
s
tr
o
n
g
p
o
s
itiv
e
a
n
d
n
e
g
ativ
e
co
r
r
elatio
n
s
,
s
er
v
es
as
a
u
s
ef
u
l
p
r
o
x
y
f
o
r
u
n
d
er
s
tan
d
i
n
g
ch
em
ical
r
elatio
n
s
h
ip
s
.
L
ik
ewise,
co
m
p
o
u
n
d
E
’
s
s
ig
n
if
ican
t
p
o
s
itiv
e
co
r
r
elatio
n
s
s
u
g
g
est
its
im
p
o
r
tan
ce
in
d
e
f
in
in
g
f
r
ag
r
an
ce
an
d
b
i
o
lo
g
ical
p
r
o
p
e
r
ties
.
C
o
m
p
o
u
n
d
D
f
u
r
th
er
r
ein
f
o
r
ce
s
its
r
o
le
as a
k
ey
co
m
p
o
n
e
n
t d
u
e
to
its
s
tr
o
n
g
co
r
r
elatio
n
s
with
o
th
er
co
m
p
o
u
n
d
s
.
T
h
e
o
v
er
lap
s
am
o
n
g
co
m
p
o
u
n
d
s
B
,
E
,
a
n
d
D
em
p
h
asize
t
h
eir
in
f
l
u
en
ce
a
n
d
r
ep
r
esen
tat
io
n
in
th
e
d
ataset.
T
h
ese
f
in
d
in
g
s
alig
n
with
p
r
ev
io
u
s
r
esear
ch
[
2
6
]
,
[
2
7
]
wh
ic
h
id
e
n
tifie
d
s
esq
u
i
ter
p
en
es
as
m
ajo
r
co
n
s
titu
en
ts
in
ag
ar
wo
o
d
ess
e
n
tial
o
il.
Prio
r
itizin
g
th
ese
co
m
p
o
u
n
d
s
in
f
ea
tu
r
e
s
elec
tio
n
en
h
an
ce
s
ef
f
icien
c
y
,
m
in
im
izes c
o
m
p
u
tatio
n
al
d
em
an
d
s
,
an
d
o
p
tim
izes th
e
ch
em
i
ca
l a
n
aly
s
is
o
f
A
q
u
ila
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ia
ess
en
tial o
ils
.
Featu
r
e
s
elec
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lay
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cr
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cial
r
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le
in
o
p
tim
izin
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u
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al
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e
co
m
p
u
tatio
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al
tim
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ef
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s
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ter
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ly
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ig
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if
ican
tly
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ed
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ce
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o
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0
0
4
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o
n
d
s
.
T
h
is
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em
o
n
s
tr
ates
a
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b
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tan
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9
0
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0
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%
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v
em
e
n
t
in
co
m
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tatio
n
al
e
f
f
icien
cy
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
Un
r
a
ve
lin
g
th
e
r
ela
tio
n
s
h
ip
s
a
mo
n
g
ess
en
tia
l o
il c
o
mp
o
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n
d
s
…
(
N
u
r
A
th
ir
a
h
S
ya
fiq
a
h
N
o
r
a
mli
)
173
T
h
e
r
ed
u
ctio
n
in
co
m
p
u
tatio
n
tim
e
in
d
icate
s
th
at
f
ea
tu
r
e
s
elec
tio
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s
u
cc
ess
f
u
lly
elim
in
ates
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ed
u
n
d
an
t
o
r
less
r
elev
an
t
f
ea
tu
r
es,
lead
in
g
to
a
m
o
r
e
ef
f
icien
t
d
ata
p
r
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ce
s
s
in
g
p
ip
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e.
T
h
is
im
p
r
o
v
e
m
en
t
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p
ar
ticu
lar
ly
b
en
e
f
icial
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lar
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e
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atasets
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wh
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n
n
ec
ess
ar
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n
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ig
n
if
ican
tly
s
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w
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o
wn
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m
p
u
tatio
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s
.
T
h
e
r
esu
lts
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i
g
h
lig
h
t
th
at
b
y
ap
p
ly
in
g
f
ea
tu
r
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s
elec
tio
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tech
n
iq
u
es,
th
e
m
o
d
el
n
o
t
o
n
ly
im
p
r
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ter
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s
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p
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p
ee
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b
u
t
also
b
ec
o
m
es
m
o
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e
s
ca
lab
le
a
n
d
r
eso
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ce
-
ef
f
i
cien
t.
T
h
ese
f
in
d
in
g
s
co
n
f
ir
m
th
e
e
f
f
ec
tiv
en
ess
o
f
t
h
e
ap
p
lied
f
ea
t
u
r
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s
elec
tio
n
m
eth
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d
,
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ei
n
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o
r
cin
g
its
im
p
o
r
tan
ce
in
en
h
an
ci
n
g
co
m
p
u
tatio
n
al
e
f
f
icien
cy
a
n
d
o
p
tim
izin
g
ch
e
m
ical
co
m
p
o
u
n
d
an
aly
s
is
task
s
.
Fig
u
r
e
2
.
Ven
n
d
iag
r
am
o
f
th
e
co
r
r
elatio
n
m
atr
ix
3
.
3
.
Dis
cus
s
io
n
T
h
is
s
tu
d
y
s
u
cc
ess
f
u
lly
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ied
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r
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ed
k
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m
ical
co
m
p
o
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n
d
s
in
A
q
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ila
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ess
en
tial
o
ils
u
s
in
g
GC
-
MS
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d
GC
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FID
tech
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B
y
em
p
lo
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in
g
Pear
s
o
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co
r
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al
y
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is
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th
e
s
ix
in
itially
id
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tifie
d
c
o
m
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n
d
s
-
A
,
B
,
C
,
D
,
E
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a
n
d
F
-
w
e
r
e
r
e
d
u
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t
o
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e
t
h
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e
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o
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t
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c
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B
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n
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E
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T
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ctio
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h
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ce
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an
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y
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ce
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m
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atin
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im
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g
s
p
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s
s
if
icatio
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ac
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r
ac
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a
n
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o
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tim
izin
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tial o
il p
r
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ilin
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h
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im
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ac
t
o
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m
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was
also
ev
alu
at
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d
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h
e
c
o
m
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ed
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ce
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0
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4
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d
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ter
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iev
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9
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%
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v
e
m
en
t
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c
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m
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.
T
h
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s
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b
s
tan
tial
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ed
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ctio
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em
o
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tr
ates
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o
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n
n
ec
ess
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atu
r
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as
it
n
o
t
o
n
ly
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ed
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ce
s
co
m
p
u
tatio
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al
lo
ad
b
u
t
also
s
tr
ea
m
lin
es
d
ata
p
r
o
ce
s
s
in
g
.
T
h
ese
r
esu
lts
co
n
f
ir
m
th
at
s
tr
u
ctu
r
ed
f
ea
tu
r
e
s
elec
tio
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m
eth
o
d
s
ca
n
ef
f
ec
tiv
ely
en
h
an
ce
an
al
y
s
is
ef
f
icien
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,
m
a
k
in
g
d
ata
h
an
d
lin
g
m
o
r
e
s
ca
lab
le
a
n
d
r
eso
u
r
ce
-
ef
f
icien
t.
T
h
e
f
in
d
in
g
s
s
u
p
p
o
r
t
th
e
h
y
p
o
th
esis
th
at
f
ea
tu
r
e
s
e
lectio
n
te
ch
n
iq
u
es
im
p
r
o
v
e
an
aly
s
is
ef
f
icien
cy
b
y
ad
d
r
ess
in
g
m
u
ltico
llin
ea
r
ity
a
n
d
elim
in
atin
g
r
e
d
u
n
d
an
t c
o
m
p
o
u
n
d
s
.
T
h
is
co
n
f
ir
m
s
f
in
d
in
g
s
[
7
]
,
[
2
6
]
,
[
2
7
]
th
at
h
ig
h
lig
h
ts
s
esq
u
iter
p
e
n
es
(
e.
g
.
,
γ
-
eu
d
esm
o
l)
as
k
ey
co
n
tr
ib
u
to
r
s
to
ag
ar
wo
o
d
’
s
f
r
ag
r
a
n
ce
an
d
m
ed
icin
al
p
r
o
p
er
ties
.
B
y
p
r
io
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itizin
g
th
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n
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s
d
u
r
in
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,
th
e
s
tu
d
y
en
h
an
ce
s
ef
f
icien
cy
,
wh
ile
m
in
im
izin
g
c
o
m
p
u
tatio
n
al
d
e
m
an
d
s
.
T
h
ese
r
esu
lts
r
ein
f
o
r
c
e
th
e
im
p
o
r
t
an
ce
o
f
s
tr
u
ctu
r
ed
f
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r
e
s
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n
in
ess
en
tial o
il a
n
aly
s
is
.
B
ey
o
n
d
c
o
m
p
u
tatio
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im
p
r
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en
ts
,
th
e
id
en
tific
atio
n
o
f
d
ih
y
d
r
o
-
β
-
ag
ar
o
f
u
r
an
(
B
)
,
γ
-
eu
d
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o
l
(
D)
,
an
d
1
0
-
ep
i
-
γ
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e
u
d
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o
l
(
E
)
as
s
ig
n
if
ican
t
ch
em
ical
co
m
p
o
u
n
d
s
h
ig
h
lig
h
ts
th
eir
p
o
te
n
tial
s
ig
n
if
ican
ce
in
ag
ar
wo
o
d
a
u
th
en
ticatio
n
.
T
h
ese
co
m
p
o
u
n
d
s
co
n
tr
ib
u
te
to
th
e
f
r
ag
r
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ce
,
m
ed
icin
al
p
r
o
p
er
ties
,
an
d
r
esin
f
o
r
m
atio
n
in
A
q
u
ila
r
ia
s
p
ec
i
es,
wh
ich
ar
e
cr
u
cial
f
ac
to
r
s
f
o
r
i
n
d
u
s
tr
ial
ap
p
licatio
n
s
.
B
y
s
tr
ea
m
lin
in
g
th
e
d
ataset
wh
ile
m
ain
tain
in
g
ess
en
tial
c
h
em
ical
in
f
o
r
m
atio
n
,
th
i
s
r
esear
ch
co
n
tr
ib
u
tes
to
m
o
r
e
ef
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ec
tiv
e
ess
en
tial
o
il c
h
ar
ac
ter
izatio
n
.
Desp
ite
th
ese
co
n
tr
ib
u
tio
n
s
,
th
e
r
esear
ch
r
elies
o
n
tr
a
d
itio
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al
s
tatis
t
ical
m
eth
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d
s
f
o
r
f
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r
e
s
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n
,
wh
ich
,
wh
ile
ef
f
ec
tiv
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m
ay
n
o
t
f
u
lly
o
p
tim
ize
co
m
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o
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n
d
s
elec
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u
n
d
er
c
o
m
p
lex
co
n
d
itio
n
s
.
Fu
tu
r
e
r
esear
ch
s
h
o
u
ld
in
teg
r
a
te
m
ac
h
in
e
lear
n
in
g
tech
n
iq
u
e
s
,
s
u
ch
as p
r
in
cip
al
co
m
p
o
n
en
t a
n
aly
s
is
(
P
C
A)
o
r
d
ee
p
lear
n
i
n
g
,
to
f
u
r
t
h
er
en
h
an
ce
th
e
s
elec
tio
n
o
f
ess
en
tial
o
il
co
m
p
o
u
n
d
s
.
T
h
ese
ad
v
a
n
ce
d
m
eth
o
d
s
ca
n
d
etec
t
m
o
r
e
in
tr
icate
r
elatio
n
s
h
ip
s
b
etwe
en
ch
em
ical
co
m
p
o
n
en
ts
,
p
r
o
v
id
in
g
a
s
ca
lab
le
a
p
p
r
o
ac
h
to
ess
en
tial
o
il p
r
o
f
ilin
g
[
2
8
]
.
On
e
lim
itatio
n
o
f
t
h
is
r
esear
c
h
is
th
at
th
e
a
n
aly
s
is
was
co
n
d
u
cted
o
n
a
d
ataset
o
f
7
2
0
s
a
m
p
les
f
r
o
m
f
o
u
r
A
q
u
ila
r
ia
s
p
ec
ies.
W
h
ile
t
h
is
p
r
o
v
id
es
v
alu
ab
le
in
s
ig
h
ts
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f
u
tu
r
e
r
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ch
s
h
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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:
2
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CO
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Fu
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m
e
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AI
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
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s
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wit
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li
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ti
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rs
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ies
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lt
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h
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h
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h
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se
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telli
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d
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fiel
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c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
m
u
h
a
m
m
a
d
ik
h
sa
n
r
o
sla
n
@g
m
a
il
.
c
o
m
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