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Adv
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Vo
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14
,
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3
,
Sep
tem
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er
20
25
,
p
p
.
8
49
~
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58
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A
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I
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:
2
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8
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I
n
t J Ad
v
Ap
p
l Sci
,
Vo
l.
14
,
No
.
3
,
Sep
tem
b
er
20
25
:
8
49
-
8
58
850
in
d
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e
co
n
d
u
cted
,
h
o
wev
er
.
T
h
e
g
a
p
s
ar
e
f
i
lled
in
o
u
r
r
es
ea
r
c
h
th
r
o
u
g
h
t
h
e
in
tr
o
d
u
ctio
n
o
f
a
n
o
v
el
ch
atb
o
t
s
y
s
tem
th
at
co
m
b
in
es
R
AG
an
d
L
L
M
p
ar
ad
ig
m
s
.
W
ith
th
e
u
s
e
o
f
th
is
in
-
d
ep
th
m
eth
o
d
o
lo
g
y
,
th
e
ch
atb
o
t
ca
n
n
o
t
o
n
ly
r
ec
o
g
n
ize
th
e
n
u
an
ce
o
f
u
s
er
q
u
er
ies
b
u
t
also
d
er
iv
e
an
d
in
co
r
p
o
r
ate
ac
cu
r
ate
an
d
r
elate
d
in
f
o
r
m
atio
n
f
r
o
m
a
ca
r
ef
u
lly
f
ilter
ed
p
o
o
l
o
f
u
s
er
-
cr
ea
ted
co
n
ten
t
th
at
is
r
etr
i
ev
ed
f
r
o
m
r
eliab
le
web
s
ites
an
d
ac
ad
em
ic
p
ap
er
s
r
elate
d
to
m
en
tal
h
ea
lth
.
I
n
th
is
p
ap
er
,
we
test
th
e
p
er
f
o
r
m
a
n
ce
o
f
ad
v
an
ce
d
L
L
Ms,
n
am
ely
,
g
en
er
ativ
e
p
r
e
-
tr
ain
ed
tr
an
s
f
o
r
m
er
(
GPT)
-
4
an
d
GPT
-
3
.
5
T
u
r
b
o
,
o
n
task
s
lik
e
y
e
s
-
or
-
n
o
q
u
esti
o
n
s
,
m
u
ltip
le
-
ch
o
ice
an
s
wer
in
g
,
an
d
n
u
m
er
ical
i
n
f
o
r
m
atio
n
e
x
tr
ac
ti
o
n
[
1
4
]
,
[
1
5
]
.
B
y
c
o
m
p
ar
i
n
g
t
h
ese
m
o
d
els d
ir
ec
tly
t
o
ex
p
er
t
-
an
n
o
tated
d
ata
an
d
ev
alu
atin
g
p
e
r
f
o
r
m
an
ce
a
g
ai
n
s
t
m
etr
ics
lik
e
r
ec
all
-
o
r
ien
t
ed
u
n
d
er
s
tu
d
y
f
o
r
g
is
tin
g
ev
alu
atio
n
(
R
OUGE
)
s
co
r
es,
th
is
r
esear
ch
b
u
ild
s
o
n
th
e
ef
f
o
r
ts
o
f
ea
r
lier
c
o
n
tr
ib
u
tio
n
s
.
T
h
is
r
esear
c
h
p
r
o
v
i
d
es
s
ev
er
al
s
ig
n
if
ican
t
en
h
an
ce
m
e
n
ts
.
Firstl
y
,
we
p
r
o
p
o
s
e
a
u
n
if
y
in
g
f
r
am
ewo
r
k
th
at
b
r
in
g
s
to
g
eth
e
r
th
e
a
cc
u
r
ate
in
f
o
r
m
atio
n
r
etr
iev
al
ca
p
ab
ilit
ies
o
f
R
AG
an
d
th
e
n
atu
r
al
lan
g
u
ag
e
c
o
m
p
r
eh
e
n
s
io
n
ca
p
ab
ilit
ies
o
f
L
L
M.
Su
ch
a
f
u
s
io
n
h
as
n
o
t
b
ee
n
e
x
h
au
s
tiv
ely
e
x
p
lo
r
ed
in
th
e
d
o
m
ain
o
f
ad
o
lesc
en
t
m
en
tal
h
ea
lth
.
Seco
n
d
ly
,
we
g
iv
e
a
d
etailed
ev
alu
atio
n
o
f
th
e
p
e
r
f
o
r
m
an
ce
o
f
th
e
s
y
s
tem
,
lis
tin
g
its
s
tr
en
g
th
s
an
d
lim
itatio
n
s
w
h
ile
d
is
cu
s
s
in
g
th
e
im
p
l
icatio
n
s
o
f
o
u
r
f
in
d
in
g
s
.
W
h
ile
th
e
co
m
b
in
ed
s
tr
ateg
y
s
u
cc
ee
d
s
in
y
ield
in
g
ac
c
u
r
at
e
an
d
co
n
tex
tu
ally
ap
p
r
o
p
r
iate
in
f
o
r
m
atio
n
,
b
as
ed
o
n
o
u
r
a
n
aly
s
is
,
ch
allen
g
es
r
em
ain
,
p
ar
ticu
lar
ly
f
o
r
co
m
p
lex
lin
g
u
is
tic
co
n
s
tr
u
ctio
n
s
an
d
co
m
p
licated
q
u
esti
o
n
s
.
L
ast
b
u
t
n
o
t
leas
t,
th
e
im
p
licatio
n
s
o
f
o
u
r
s
tu
d
y
s
u
g
g
est
th
at
th
is
ch
atb
o
t
s
y
s
tem
ca
n
s
ig
n
if
ican
t
ly
en
h
a
n
ce
th
e
q
u
ality
an
d
av
a
ilab
ilit
y
o
f
m
e
n
tal
h
ea
lth
s
er
v
i
ce
s
f
o
r
a
d
o
lescen
ts
[
1
6
]
–
[
1
8
]
.
W
h
ile
p
r
ev
io
u
s
s
tu
d
ies
h
av
e
ex
p
lo
r
ed
th
e
u
s
e
o
f
ch
atb
o
ts
in
v
ar
io
u
s
in
f
o
r
m
atio
n
r
etr
iev
al
co
n
tex
ts
,
th
ey
d
id
n
o
t
ex
p
licitly
ad
d
r
ess
th
eir
in
f
lu
en
ce
o
n
p
r
o
v
id
in
g
n
u
an
ce
d
,
co
n
tex
t
u
ally
r
ich
m
e
n
tal
h
ea
lth
s
u
p
p
o
r
t
s
p
ec
if
ically
tailo
r
ed
f
o
r
ad
o
lescen
ts
.
T
h
is
r
esear
ch
s
ee
k
s
to
b
r
id
g
e
th
is
g
ap
b
y
co
m
b
in
in
g
ac
cu
r
ate
in
f
o
r
m
atio
n
r
etr
iev
al
an
d
n
atu
r
al
lan
g
u
ag
e
u
n
d
er
s
tan
d
in
g
to
en
h
a
n
ce
ad
o
lescen
t
m
en
tal
h
ea
lt
h
s
u
p
p
o
r
t
[
1
9
]
,
[
2
0
]
.
2.
M
E
T
H
O
D
2
.
1
.
Resea
rc
h desi
g
n
T
h
is
r
esear
ch
b
eg
in
s
with
p
la
n
n
in
g
a
n
d
p
r
e
p
ar
atio
n
,
wh
er
e
th
e
p
r
o
b
le
m
an
d
th
e
n
ee
d
f
o
r
a
m
en
tal
h
ea
lth
ch
at
b
o
t
f
o
r
teen
ag
e
r
s
a
r
e
id
en
tifie
d
.
A
liter
atu
r
e
r
ev
i
ew
is
co
n
d
u
cted
to
u
n
d
e
r
s
tan
d
tech
n
o
lo
g
ies
s
u
c
h
as
L
L
Ms
an
d
R
AG,
a
s
well
as
to
estab
lis
h
ev
alu
atio
n
m
etr
ics
s
u
ch
as
ac
cu
r
ac
y
,
r
elev
a
n
ce
,
an
d
r
esp
o
n
s
e
s
p
ee
d
.
Nex
t,
m
en
tal
h
ea
lth
d
ata
is
co
llected
f
r
o
m
tr
u
s
ted
s
o
u
r
ce
s
,
p
r
o
ce
s
s
ed
,
an
d
lab
eled
to
f
ac
ilit
ate
it
s
u
s
e
in
th
e
m
o
d
el.
On
ce
th
e
d
ata
is
r
ea
d
y
,
th
e
ch
atb
o
t
s
y
s
tem
is
d
ev
elo
p
ed
b
y
in
teg
r
atin
g
a
n
L
L
M
as
th
e
co
r
e
an
d
R
AG
to
r
etr
iev
e
r
elev
an
t
in
f
o
r
m
atio
n
f
r
o
m
a
k
n
o
wled
g
e
d
atab
ase.
T
h
e
m
o
d
el
is
th
en
tr
ain
ed
u
s
in
g
th
e
p
r
ep
ar
e
d
d
ata
an
d
in
itially
test
ed
to
en
s
u
r
e
its
f
u
n
ctio
n
a
lity
.
T
h
e
s
y
s
tem
i
s
ev
alu
ate
d
b
y
m
ea
s
u
r
in
g
its
p
er
f
o
r
m
an
ce
u
s
in
g
t
h
e
estab
l
is
h
ed
m
etr
ics,
an
d
teen
a
g
er
s
ar
e
in
v
o
lv
ed
as
u
s
er
s
to
p
r
o
v
id
e
f
ee
d
b
ac
k
.
T
h
e
ev
alu
atio
n
r
esu
lts
ar
e
an
aly
ze
d
to
id
en
tify
s
h
o
r
tco
m
in
g
s
an
d
ar
ea
s
f
o
r
im
p
r
o
v
em
e
n
t.
B
ased
o
n
th
e
ev
al
u
atio
n
r
esu
lts
,
th
e
s
y
s
tem
is
r
e
f
in
ed
th
r
o
u
g
h
iter
atio
n
s
,
s
u
ch
as
u
p
d
atin
g
t
h
e
m
o
d
el
a
n
d
k
n
o
wled
g
e
d
atab
ase,
a
n
d
th
en
r
etested
to
en
s
u
r
e
im
p
r
o
v
ed
p
er
f
o
r
m
an
ce
.
Af
ter
f
in
aliza
tio
n
,
th
e
ch
atb
o
t is im
p
lem
en
ted
an
d
lau
n
ch
e
d
o
n
p
latf
o
r
m
s
ea
s
ily
ac
ce
s
s
ib
le
to
teen
ag
er
s
,
s
u
ch
as
ap
p
s
o
r
we
b
s
ites
.
Per
i
o
d
ic
m
o
n
ito
r
in
g
is
co
n
d
u
cte
d
to
en
s
u
r
e
th
e
s
y
s
tem
r
em
ain
s
r
elev
an
t
an
d
ac
cu
r
ate.
T
h
e
r
esear
ch
r
esu
lts
ar
e
r
ep
o
r
ted
an
d
p
u
b
li
s
h
ed
in
jo
u
r
n
als
o
r
s
cien
tific
co
n
f
er
en
ce
s
,
wh
ile
th
e
ch
atb
o
t
s
y
s
tem
is
d
is
s
em
in
ated
to
th
e
p
u
b
lic
an
d
r
ele
v
an
t
s
tak
eh
o
ld
er
s
.
L
o
n
g
-
t
er
m
ev
alu
ati
o
n
is
also
ca
r
r
ied
o
u
t
to
m
o
n
ito
r
th
e
c
h
a
tb
o
t'
s
im
p
ac
t
o
n
teen
ag
e
r
s
'
m
en
tal
h
ea
lth
,
s
u
c
h
as
in
cr
ea
s
ed
awa
r
en
ess
o
r
r
ed
u
c
ed
s
tr
ess
lev
el
s
,
an
d
p
er
io
d
ic
u
p
d
ates
ar
e
p
er
f
o
r
m
ed
to
m
ain
tain
th
e
s
y
s
tem
's
q
u
ality
.
T
h
r
o
u
g
h
th
is
p
r
o
ce
s
s
,
th
e
r
esear
ch
is
ex
p
ec
ted
t
o
p
r
o
d
u
ce
an
ef
f
ec
tiv
e
a
n
d
b
en
ef
icial
ch
atb
o
t
f
o
r
teen
ag
er
s
in
th
e
c
o
n
tex
t o
f
m
e
n
tal
h
ea
lth
.
2
.
2
.
Resea
rc
h pro
ce
du
re
s
I
n
th
is
r
esear
ch
,
th
e
d
ataset
u
s
ed
was
o
b
tain
ed
f
r
o
m
two
m
ain
s
o
u
r
ce
s
:
ar
ticles
r
elate
d
to
m
en
tal
h
ea
lth
an
d
d
ata
f
r
o
m
th
e
Alo
d
o
k
ter
web
s
ite.
T
h
e
m
en
tal
h
ea
lth
ar
ticles
wer
e
co
llected
f
r
o
m
v
ar
io
u
s
s
cien
tific
p
u
b
licatio
n
s
an
d
o
t
h
er
tr
u
s
ted
s
o
u
r
ce
s
,
co
n
tain
i
n
g
in
-
d
ep
th
in
f
o
r
m
atio
n
o
n
v
a
r
io
u
s
asp
ec
ts
o
f
m
en
tal
h
ea
lth
,
s
u
ch
as
an
x
iety
d
is
o
r
d
er
s
,
d
ep
r
ess
io
n
,
an
d
co
p
in
g
tech
n
i
q
u
e
s
[
2
1
]
.
Me
an
wh
ile,
d
ata
f
r
o
m
Alo
d
o
k
ter
co
n
s
is
ts
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ad
v
Ap
p
l Sci
I
SS
N:
2252
-
8
8
1
4
La
r
g
e
la
n
g
u
a
g
e
mo
d
els a
n
d
r
e
tr
ieva
l
-
a
u
g
men
ted
g
en
era
tio
n
-
b
a
s
ed
ch
a
t
b
o
t
…
(
A
n
d
i R
ia
n
s
ya
h
)
851
o
f
f
r
eq
u
en
tly
ask
ed
q
u
esti
o
n
s
an
d
an
s
wer
s
b
y
u
s
er
s
o
f
th
e
s
ite
r
eg
ar
d
in
g
m
e
n
tal
h
ea
lth
to
p
ics
[
2
2
]
.
T
h
e
d
ataset
f
r
o
m
Alo
d
o
k
ter
p
r
o
v
id
es
v
alu
ab
le
in
s
ig
h
ts
in
to
co
m
m
o
n
m
en
tal
h
ea
lth
is
s
u
es
f
ac
ed
b
y
th
e
co
m
m
u
n
ity
,
as
well
as
th
e
m
ed
ical
r
esp
o
n
s
es
o
f
f
er
ed
b
y
e
x
p
er
ts
o
n
th
e
p
latf
o
r
m
[
2
1
]
,
[
2
2
]
.
T
h
e
co
m
b
in
atio
n
o
f
th
ese
two
s
o
u
r
ce
s
p
r
o
v
id
e
s
a
s
tr
o
n
g
f
o
u
n
d
atio
n
f
o
r
f
u
r
t
h
er
an
al
y
s
is
,
esp
ec
ially
in
d
e
v
elo
p
in
g
a
ch
atb
o
t
s
y
s
tem
ca
p
ab
le
o
f
d
eliv
e
r
in
g
r
elev
an
t a
n
d
ac
c
u
r
ate
m
e
n
tal
h
ea
lth
in
f
o
r
m
atio
n
an
d
s
u
p
p
o
r
t.
T
h
e
d
ata
p
r
o
ce
s
s
in
g
,
as
s
h
o
wn
i
n
Fig
u
r
e
1
,
in
v
o
lv
es
c
h
u
n
k
in
g
,
wh
ich
is
d
iv
i
d
in
g
th
e
tex
t
in
to
s
m
aller
,
r
elev
an
t
p
iece
s
to
f
ac
ilit
ate
em
b
ed
d
in
g
.
C
h
u
n
k
i
n
g
i
s
d
o
n
e
to
en
s
u
r
e
th
at
th
e
em
b
ed
d
ed
in
f
o
r
m
atio
n
r
em
ain
s
s
tr
u
ctu
r
ed
an
d
ea
s
ily
ac
ce
s
s
ib
le
b
y
th
e
m
o
d
el.
An
e
f
f
ec
tiv
e
ch
u
n
k
in
g
s
tr
ateg
y
ca
n
also
s
ig
n
if
ican
tly
en
h
an
ce
th
e
s
p
ee
d
an
d
ac
cu
r
ac
y
o
f
th
e
m
o
d
e
.
Af
ter
ch
u
n
k
in
g
,
t
h
e
p
r
o
ce
s
s
ed
d
ata
is
tr
an
s
f
o
r
m
ed
in
to
v
ec
t
o
r
s
u
s
in
g
th
e
Ollam
aE
m
b
ed
d
in
g
m
o
d
el.
T
h
is
tr
an
s
f
o
r
m
atio
n
o
f
te
x
t in
to
v
ec
to
r
s
is
cr
u
cial
in
th
e
d
ata
p
r
ep
r
o
ce
s
s
in
g
s
tag
e
s
o
th
at
th
e
co
llected
d
ata
ca
n
b
e
p
r
o
ce
s
s
ed
an
d
u
n
d
e
r
s
to
o
d
b
y
th
e
L
L
M
m
o
d
el
[
2
3
]
,
[
2
4
]
.
T
h
is
is
b
ec
au
s
e
th
e
d
ev
elo
p
m
en
t
o
f
th
e
ch
at
b
o
t
in
v
o
lv
es
in
teg
r
atin
g
L
L
M
an
d
R
AG.
L
L
M
is
u
s
ed
to
u
n
d
er
s
tan
d
th
e
co
n
tex
t
o
f
th
e
q
u
esti
o
n
s
,
wh
ile
R
A
G
ass
is
ts
in
r
etr
iev
in
g
r
ele
v
an
t
in
f
o
r
m
atio
n
f
r
o
m
th
e
em
b
e
d
d
ed
d
ata.
T
h
is
s
y
s
tem
is
d
esig
n
ed
to
p
r
o
v
id
e
ac
cu
r
ate
an
d
r
elev
an
t a
n
s
wer
s
b
ased
o
n
th
e
av
ailab
le
d
ata.
I
n
Fig
u
r
e
2
,
th
e
s
tag
es
o
f
s
y
s
tem
m
o
d
elin
g
d
ep
icted
in
th
e
f
lo
wch
ar
t
ab
o
v
e
ar
e
d
iv
id
ed
in
to
s
ev
er
al
p
h
ases
,
wh
ich
in
cl
u
d
e
e
m
b
e
d
d
in
g
th
e
u
s
er
'
s
in
p
u
t
u
s
in
g
th
e
s
am
e
m
o
d
el
as
th
e
em
b
e
d
d
in
g
s
d
u
r
in
g
d
ata
co
llectio
n
[
1
2
]
.
T
h
is
is
f
o
llo
wed
b
y
a
s
im
ilar
ity
s
ea
r
ch
f
o
r
r
etr
iev
in
g
o
r
ex
tr
ac
tin
g
th
e
r
elev
an
t
co
n
tex
t
b
etwe
en
th
e
in
p
u
t
d
ata
an
d
th
e
d
ata
in
t
h
e
d
atab
ase,
u
s
in
g
t
h
e
cr
ea
te_
r
etr
ie
v
al_
ch
ain
f
r
o
m
th
e
lib
r
a
r
y
.
Fr
o
m
th
e
r
elev
a
n
t
co
n
tex
ts
th
at
h
av
e
b
ee
n
r
etr
iev
e
d
,
th
ey
will
b
e
g
en
e
r
ated
with
llam
a3
,
an
d
t
h
e
r
esu
lts
f
r
o
m
th
e
llam
a3
g
en
er
atio
n
will b
e
p
r
es
en
ted
to
th
e
u
s
er
[
1
3
]
.
Fig
u
r
e
1
.
Data
co
llectio
n
f
lo
w
ch
ar
t
Fig
u
r
e
2
.
Sy
s
tem
m
o
d
elin
g
f
lo
wch
ar
t
2
.
3
.
Dev
el
o
pm
ent
s
o
f
cha
t
b
o
t
s
T
h
e
ch
atb
o
t
s
y
s
tem
in
teg
r
ate
s
R
AG
ar
ch
itectu
r
e
an
d
L
L
M.
R
AG
co
n
s
is
t
s
o
f
a
r
etr
iev
er
an
d
a
g
en
er
ato
r
[
2
5
]
,
wh
er
e
th
e
r
et
r
iev
er
f
etch
es
r
elev
a
n
t
d
o
c
u
m
en
ts
an
d
th
e
g
e
n
er
ato
r
u
s
es
L
L
M
to
p
r
o
d
u
ce
an
s
wer
s
.
T
h
e
Ollam
aE
m
b
ed
d
i
n
g
m
o
d
el
is
u
s
ed
to
co
n
v
er
t te
x
t d
ata
in
to
v
ec
t
o
r
s
u
tili
ze
d
b
y
th
e
r
etr
iev
er
.
L
L
M
is
em
p
lo
y
ed
to
u
n
d
e
r
s
tan
d
th
e
co
n
tex
t a
n
d
g
en
e
r
ate
an
s
wer
s
b
ased
o
n
th
e
r
etr
iev
ed
d
ata
[
1
3
]
.
T
h
e
d
e
v
elo
p
m
e
n
t
o
f
th
e
ch
atb
o
t
in
v
o
l
v
es
th
e
in
te
g
r
atio
n
o
f
t
h
e
Ollam
aE
m
b
ed
d
in
g
m
o
d
el,
R
AG,
an
d
L
L
M.
T
h
e
s
y
s
tem
ar
ch
itectu
r
e
d
iag
r
am
ca
n
b
e
s
ee
n
i
n
Fig
u
r
e
3
,
wh
ich
illu
s
tr
ates
h
o
w
d
ata
is
p
r
o
ce
s
s
ed
an
d
h
o
w
th
e
s
y
s
tem
c
o
m
p
o
n
en
ts
i
n
ter
ac
t.
T
h
e
wo
r
k
f
lo
w
d
iag
r
a
m
f
o
r
d
ata
r
et
r
iev
a
l
an
d
p
r
o
ce
s
s
in
g
is
p
r
esen
ted
in
Fig
u
r
e
1
.
T
h
e
s
y
s
tem
is
d
esig
n
ed
to
p
r
o
v
id
e
r
elev
an
t a
n
s
wer
s
b
ased
o
n
t
h
e
em
b
e
d
d
ed
d
ata
[
2
2
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
8
1
4
I
n
t J Ad
v
Ap
p
l Sci
,
Vo
l.
14
,
No
.
3
,
Sep
tem
b
er
20
25
:
8
49
-
8
58
852
Fig
u
r
e
3
.
R
AG
ar
ch
itectu
r
e
B
ased
o
n
Fig
u
r
e
3
,
th
e
R
AG
ar
ch
itectu
r
e
h
as th
r
ee
m
ain
co
m
p
o
n
e
n
ts
:
−
R
etr
iev
er
:
th
is
co
m
p
o
n
en
t
is
r
esp
o
n
s
ib
le
f
o
r
r
etr
iev
in
g
r
ele
v
an
t
d
o
cu
m
en
ts
f
r
o
m
th
e
k
n
o
w
led
g
e
s
o
u
r
ce
b
ased
o
n
th
e
g
i
v
en
q
u
er
y
.
So
u
r
ce
s
ca
n
b
e
eith
er
o
p
e
n
s
o
u
r
c
e
o
r
clo
s
ed
s
o
u
r
ce
[
2
6
]
.
A
r
et
r
iev
er
f
u
n
cti
o
n
s
to
m
ea
s
u
r
e
th
e
r
elev
an
ce
b
e
twee
n
a
q
u
e
r
y
a
n
d
d
o
cu
m
e
n
ts
f
o
r
ef
f
ec
tiv
e
in
f
o
r
m
atio
n
r
etr
iev
al.
Pre
-
r
etr
iev
al
an
d
p
o
s
t
-
r
etr
iev
al
en
h
an
ce
m
en
t
tech
n
iq
u
es
ar
e
u
s
ed
to
im
p
r
o
v
e
th
e
ac
cu
r
ac
y
an
d
r
elev
an
ce
o
f
r
etr
iev
al
r
esu
lts
.
−
Au
g
m
en
tatio
n
:
t
h
is
co
m
p
o
n
e
n
t
p
r
o
ce
s
s
es
th
e
r
etr
iev
ed
d
o
cu
m
en
ts
to
e
x
tr
ac
t
im
p
o
r
tan
t
in
f
o
r
m
atio
n
.
Au
g
m
en
tatio
n
is
ap
p
lied
at
t
h
r
ee
s
tag
es:
in
p
u
t
lay
er
(
co
m
b
in
in
g
d
o
c
u
m
en
ts
with
th
e
o
r
ig
in
al
q
u
e
r
y
)
,
o
u
tp
u
t
la
y
er
(
co
m
b
in
in
g
r
etr
ie
v
al
an
d
g
en
e
r
atio
n
r
esu
lts
)
,
a
n
d
in
ter
m
ed
iate
lay
e
r
(
in
te
g
r
a
tin
g
r
esu
lts
in
th
e
in
ter
n
al
g
e
n
er
ato
r
la
y
er
)
[
2
6
]
.
I
n
ter
m
ed
iate
-
la
y
er
au
g
m
e
n
tatio
n
o
f
f
er
s
th
e
p
o
te
n
tial
f
o
r
p
er
f
o
r
m
an
ce
im
p
r
o
v
em
e
n
t,
b
u
t it
r
eq
u
ir
es d
ee
p
er
ac
ce
s
s
to
th
e
L
L
M.
−
Gen
er
atio
n
:
th
is
co
m
p
o
n
en
t
is
a
lan
g
u
ag
e
m
o
d
el
th
at
p
r
o
d
u
c
es
f
in
al
an
s
wer
s
b
ased
o
n
th
e
in
p
u
t
an
d
t
h
e
au
g
m
en
ted
r
etr
iev
al
r
esu
lts
.
Au
g
m
en
tatio
n
ca
n
b
e
p
er
f
o
r
m
ed
at
th
r
ee
s
tag
es
(
in
p
u
t,
o
u
t
p
u
t,
o
r
in
ter
m
ed
iate)
,
d
e
p
en
d
i
n
g
o
n
th
e
s
y
s
tem
's n
ee
d
s
[
2
6
]
.
Fig
u
r
e
1
s
h
o
ws
h
o
w
r
etr
iev
al
an
d
g
e
n
er
atio
n
tec
h
n
iq
u
es
wo
r
k
to
g
eth
e
r
to
p
r
o
d
u
ce
r
ele
v
an
t
an
s
wer
s
.
Au
g
m
en
tatio
n
at
v
ar
io
u
s
lay
e
r
s
en
s
u
r
es
ac
cu
r
ate
an
d
co
n
te
x
tu
ally
ap
p
r
o
p
r
iate
an
s
wer
s
.
Fig
u
r
e
2
illu
s
tr
ates
th
e
ap
p
licatio
n
o
f
R
AG
in
ch
atb
o
ts
.
Fig
u
r
e
4
illu
s
tr
ates
th
e
ar
ch
itectu
r
e
o
f
th
e
R
AG
s
y
s
tem
ap
p
lied
to
a
ch
atb
o
t
f
o
r
m
en
tal
h
e
alth
in
f
o
r
m
atio
n
s
er
v
ices.
T
h
e
p
r
o
ce
s
s
b
eg
in
s
with
in
p
u
t
i
n
th
e
f
o
r
m
o
f
a
d
o
cu
m
e
n
t
o
r
ar
ticle
(
th
e
r
e
d
f
ile
s
y
m
b
o
l
o
n
th
e
lef
t)
,
wh
ich
is
th
en
d
iv
id
e
d
in
to
s
m
aller
p
iece
s
th
r
o
u
g
h
a
ch
u
n
k
in
g
p
r
o
ce
s
s
[
2
2
]
.
T
h
ese
p
iece
s
ar
e
p
r
o
ce
s
s
ed
b
y
th
e
r
etr
i
ev
e
r
co
m
p
o
n
en
t
(
r
ep
r
esen
ted
b
y
th
e
o
r
an
g
e
ch
ip
s
y
m
b
o
l)
,
wh
ich
f
u
n
ctio
n
s
to
s
ea
r
c
h
f
o
r
an
d
r
et
r
iev
e
r
elev
an
t i
n
f
o
r
m
atio
n
f
r
o
m
a
v
ec
to
r
-
b
ased
d
atab
ase
(
b
l
u
e
b
u
c
k
et
s
y
m
b
o
l)
.
Fig
u
r
e
4
.
I
m
p
lem
en
tatio
n
o
f
R
AG
an
d
L
L
M
in
c
h
atb
o
ts
T
h
e
r
etr
iev
er
co
n
d
u
cts
a
s
ea
r
ch
b
ased
o
n
th
e
s
em
an
tic
s
im
ilar
ity
b
etwe
en
th
e
u
s
er
'
s
q
u
er
y
(
t
h
e
p
er
s
o
n
s
y
m
b
o
l
i
n
th
e
u
p
p
er
r
ig
h
t)
an
d
t
h
e
p
r
o
ce
s
s
ed
d
o
cu
m
en
ts
[
2
7
]
.
R
elev
an
t
in
f
o
r
m
a
tio
n
is
s
en
t
to
th
e
g
en
er
ato
r
(
an
o
th
er
ch
ip
s
y
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b
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l
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,
w
h
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s
es
Op
en
AI
'
s
L
L
M
to
g
e
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er
ate
an
s
wer
s
b
ased
o
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ad
v
Ap
p
l Sci
I
SS
N:
2252
-
8
8
1
4
La
r
g
e
la
n
g
u
a
g
e
mo
d
els a
n
d
r
e
tr
ieva
l
-
a
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g
men
ted
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tio
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b
a
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ch
a
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b
o
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(
A
n
d
i R
ia
n
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ya
h
)
853
au
g
m
en
ted
s
ea
r
ch
r
esu
lts
.
T
h
e
f
in
al
r
esu
lt
is
a
r
esp
o
n
s
e
p
r
o
v
id
ed
b
ac
k
to
th
e
u
s
er
,
tailo
r
ed
to
th
e
r
elev
an
t
co
n
tex
t.
Ov
er
all,
t
h
is
d
iag
r
am
illu
s
tr
ates
h
o
w
th
e
co
m
b
in
ati
o
n
o
f
s
im
ilar
ity
s
ea
r
ch
an
d
p
r
o
m
p
tin
g
with
in
th
e
R
AG
s
y
s
tem
en
ab
les
t
h
e
ch
a
tb
o
t
to
p
r
o
v
id
e
m
o
r
e
ac
c
u
r
at
e
an
d
in
f
o
r
m
ativ
e
r
esp
o
n
s
es,
ass
is
tin
g
u
s
er
s
in
o
b
tain
in
g
m
en
tal
h
ea
lth
in
f
o
r
m
atio
n
q
u
ic
k
ly
an
d
ac
cu
r
ately
.
2
.
4
.
E
v
a
lua
t
i
o
n
T
h
e
ev
alu
atio
n
o
f
L
L
Ms
is
an
im
p
o
r
tan
t
co
m
p
o
n
en
t
in
co
n
tem
p
o
r
ar
y
ar
tific
ial
in
tellig
en
ce
r
esear
ch
b
ec
au
s
e
it
h
elp
s
to
u
n
d
er
s
tan
d
th
eir
o
p
e
r
atio
n
al
ca
p
ab
ilit
ies
an
d
s
h
o
ws
th
e
way
f
o
r
f
u
tu
r
e
ad
v
an
ce
m
e
n
ts
[
2
8
]
.
T
h
e
ch
atb
o
t
is
test
ed
b
y
p
r
o
v
id
in
g
v
ar
io
u
s
q
u
esti
o
n
s
to
ass
es
s
th
e
s
y
s
tem
's
ab
ilit
y
to
p
r
o
v
id
e
ac
c
u
r
ate
an
s
wer
s
.
T
h
e
ev
alu
atio
n
was
co
n
d
u
cted
u
s
in
g
R
OUGE
m
etr
ics,
n
am
ely
R
OUG
E
-
1
,
R
OUGE
-
2
,
an
d
R
OUGE
-
L
,
to
m
ea
s
u
r
e
th
e
q
u
ality
an
d
r
elev
a
n
ce
o
f
t
h
e
an
s
wer
s
[
2
9
]
.
T
h
is
test
aim
s
to
en
s
u
r
e
th
at
t
h
e
c
h
atb
o
t
ca
n
p
r
o
v
id
e
ef
f
ec
tiv
e
m
en
tal
h
ea
lth
in
f
o
r
m
atio
n
th
at
m
ee
ts
th
e
n
ee
d
s
o
f
a
d
o
lescen
ts
[
3
0
]
–
[
3
2
]
.
2
.
4
.
1
.
RO
UG
E
-
1
R
OUGE
-
1
is
an
ev
alu
atio
n
m
o
d
el
t
h
at
s
er
v
es
to
m
ea
s
u
r
e
s
im
ilar
ity
b
ased
o
n
u
n
ig
r
am
s
(
s
in
g
le
wo
r
d
s
)
b
etwe
en
t
h
e
o
u
t
p
u
t
tex
t
o
f
a
m
o
d
el
an
d
r
ef
e
r
en
ce
tex
t.
T
h
is
m
eth
o
d
is
u
s
ef
u
l
f
o
r
ev
alu
atin
g
h
o
w
m
an
y
im
p
o
r
tan
t
wo
r
d
s
i
n
th
e
r
ef
e
r
e
n
ce
ap
p
ea
r
i
n
th
e
m
o
d
el'
s
o
u
tp
u
t.
R
OUGE
-
1
is
ca
lcu
lated
as
t
h
e
r
atio
o
f
t
h
e
n
u
m
b
er
o
f
u
n
ig
r
am
s
th
at
o
v
er
lap
with
th
e
r
ef
er
en
ce
to
th
e
to
tal
u
n
ig
r
am
s
in
th
e
r
ef
er
en
c
e
o
r
m
o
d
el
o
u
tp
u
t,
d
ep
en
d
i
n
g
o
n
wh
eth
er
p
r
ec
is
io
n
,
r
ec
all,
o
r
F
-
m
ea
s
u
r
e
is
b
ei
n
g
ca
lcu
lated
.
Her
e
is
th
e
ca
lcu
latio
n
f
o
r
m
u
la:
=
ℎ
(
1
)
=
ℎ
(
2
)
−
=
2
×
×
×
(
3
)
2
.
4
.
2
.
RO
UG
E
-
2
R
OUGE
-
2
is
an
e
v
alu
atio
n
m
o
d
el
t
h
at
f
u
n
ctio
n
s
to
m
ea
s
u
r
e
s
im
ilar
ity
b
ased
o
n
b
ig
r
am
s
(
two
co
n
s
ec
u
tiv
e
wo
r
d
s
)
b
etwe
en
t
h
e
m
o
d
el'
s
o
u
tp
u
t
an
d
r
ef
er
e
n
ce
tex
ts
.
T
h
is
m
eth
o
d
is
u
s
e
d
to
ev
al
u
ate
m
o
r
e
co
m
p
lex
wo
r
d
s
eq
u
e
n
ce
s
,
p
r
o
v
id
in
g
d
ee
p
er
i
n
s
ig
h
ts
in
to
th
e
co
h
esio
n
a
n
d
co
n
tex
t
ca
p
t
u
r
ed
b
y
th
e
m
o
d
el.
R
OUGE
-
2
is
ca
lcu
lated
as
th
e
r
atio
o
f
th
e
n
u
m
b
e
r
o
f
b
ig
r
am
s
th
at
o
v
er
lap
with
th
e
r
e
f
er
en
ce
to
th
e
to
tal
n
u
m
b
er
o
f
b
ig
r
am
s
in
t
h
e
r
ef
er
en
ce
o
r
th
e
m
o
d
el
o
u
tp
u
t.
Her
e
is
th
e
ca
lcu
latio
n
f
o
r
m
u
la:
=
ℎ
(
4
)
=
ℎ
(
5
)
−
=
2
×
×
×
(
6
)
2
.
4
.
3
.
RO
UG
E
-
L
R
OUGE
-
L
is
an
ev
alu
atio
n
m
o
d
el
th
at
s
er
v
es
to
m
ea
s
u
r
e
s
im
ilar
ity
b
ased
o
n
th
e
l
o
n
g
est
co
m
m
o
n
s
u
b
s
eq
u
en
ce
(
L
C
S)
b
etwe
en
th
e
m
o
d
el
o
u
t
p
u
t
an
d
t
h
e
r
ef
er
en
ce
tex
t.
T
h
is
m
o
d
el
is
u
s
ed
to
ev
alu
ate
th
e
s
im
ilar
ity
o
f
l
o
n
g
s
eq
u
en
ce
s
b
etwe
en
th
e
m
o
d
el'
s
o
u
tp
u
t
a
n
d
th
e
r
e
f
er
en
ce
,
allo
win
g
f
o
r
th
e
ass
ess
m
en
t
o
f
h
o
w
well
th
e
g
en
er
ated
s
eq
u
en
ce
r
ef
lects
th
e
ex
p
ec
ted
s
eq
u
en
ce
in
th
e
r
ef
e
r
en
ce
.
Her
e
is
th
e
ca
lcu
latio
n
f
o
r
m
u
la:
=
(
)
ℎ
(
7
)
=
(
)
ℎ
(
8
)
−
=
2
×
×
×
(
9
)
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
I
n
th
is
s
ec
tio
n
,
th
e
ev
alu
atio
n
r
esu
lts
o
f
th
e
ch
atb
o
t
s
y
s
tem
d
esig
n
ed
to
ass
is
t
teen
ag
er
s
in
o
b
tain
in
g
m
en
tal
h
ea
lth
in
f
o
r
m
atio
n
wil
l
b
e
an
aly
ze
d
in
d
etail.
T
h
e
m
ain
o
b
jectiv
e
o
f
th
is
ev
alu
atio
n
is
to
as
s
es
s
th
e
ac
cu
r
ac
y
,
r
elev
a
n
ce
,
an
d
ef
f
e
ctiv
en
ess
o
f
th
e
ch
atb
o
t
in
p
r
o
v
id
in
g
ap
p
r
o
p
r
iate
s
o
lu
tio
n
s
f
o
r
th
e
s
itu
atio
n
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
8
1
4
I
n
t J Ad
v
Ap
p
l Sci
,
Vo
l.
14
,
No
.
3
,
Sep
tem
b
er
20
25
:
8
49
-
8
58
854
f
ac
ed
b
y
u
s
er
s
.
T
h
e
e
v
alu
atio
n
r
esu
lts
aim
to
p
r
o
v
id
e
a
c
lear
p
ictu
r
e
o
f
th
e
s
y
s
tem
'
s
p
er
f
o
r
m
a
n
ce
a
n
d
its
co
n
tr
ib
u
tio
n
to
s
u
p
p
o
r
tin
g
th
e
m
en
tal
h
ea
lth
o
f
ad
o
lescen
ts
.
T
h
e
ev
alu
atio
n
m
et
h
o
d
u
s
ed
is
th
e
m
ea
s
u
r
em
en
t
o
f
R
OUGE
s
co
r
es,
wh
ich
is
ap
p
lied
to
ass
es
s
t
h
e
ex
ten
t
to
wh
ich
t
h
e
an
s
wer
s
p
r
o
v
id
e
d
b
y
th
e
ch
at
b
o
t
alig
n
with
th
e
p
r
ed
ete
r
m
in
ed
r
ef
er
en
ce
an
s
wer
s
.
T
h
is
ass
es
s
m
en
t
in
clu
d
es
R
OUG
E
-
1
,
R
OUGE
-
2
,
an
d
R
OUGE
-
L
,
ea
ch
o
f
wh
ic
h
p
r
o
v
id
e
s
in
s
ig
h
ts
in
to
th
e
p
r
ec
is
io
n
,
r
ec
all,
an
d
F
-
m
ea
s
u
r
e
o
f
th
e
s
y
s
tem
.
I
n
ad
d
it
io
n
,
th
e
u
s
er
in
ter
f
ac
e
(
UI
)
asp
ec
t
is
also
ev
alu
ated
to
en
s
u
r
e
th
at
th
e
s
y
s
tem
is
n
o
t o
n
ly
ef
f
ec
tiv
e
i
n
ter
m
s
o
f
c
o
n
te
n
t b
u
t a
ls
o
ea
s
y
to
u
s
e
f
o
r
e
n
d
u
s
er
s
.
T
o
ev
alu
ate
t
h
e
ch
atb
o
t’
s
a
b
ilit
y
to
r
esp
o
n
d
to
v
ar
io
u
s
ty
p
es
o
f
u
s
er
in
p
u
ts
,
a
s
e
t
o
f
f
iv
e
r
ep
r
es
en
tativ
e
q
u
esti
o
n
s
was
s
elec
ted
.
T
h
ese
q
u
esti
o
n
s
c
o
v
er
b
o
th
g
e
n
er
al
k
n
o
wled
g
e
an
d
s
p
ec
if
ic
u
s
er
s
ce
n
ar
io
s
r
elate
d
to
ad
o
lescen
t
m
en
tal
h
ea
lth
:
i)
W
h
at
is
d
e
p
r
ess
io
n
?
ii)
W
h
at
i
s
em
o
tio
n
al
m
en
tal
d
is
o
r
d
er
?
iii)
W
h
at
i
s
th
e
d
ev
elo
p
m
en
t
o
f
em
o
tio
n
al
m
en
tal
h
e
alth
lik
e
b
etwe
en
ad
o
lescen
ts
li
v
in
g
in
th
e
"Pu
tr
i
Ais
y
iah
"
o
r
p
h
a
n
ag
e
a
n
d
th
o
s
e
liv
in
g
at
h
o
m
e
i
n
Su
k
o
r
ejo
V
illag
e,
Ken
d
al
R
eg
en
cy
?
iv
)
I
am
an
1
8
-
y
ea
r
-
o
ld
f
r
esh
m
an
,
a
n
d
I
o
f
ten
f
o
r
g
et
t
h
in
g
s
an
d
ca
n
'
t
f
o
cu
s
at
all.
I
s
th
er
e
a
way
f
o
r
m
e
to
r
eg
ain
m
y
co
n
ce
n
tr
atio
n
?
an
d
v
)
I
o
f
ten
lau
g
h
ex
ce
s
s
iv
ely
an
d
s
o
m
etim
es c
r
y
u
n
c
o
n
tr
o
llab
ly
; w
h
at
s
y
m
p
to
m
s
co
u
ld
t
h
at
b
e?
T
ab
le
1
s
h
o
ws
th
e
r
esu
lts
o
f
t
h
e
ch
atb
o
t
p
er
f
o
r
m
a
n
ce
ev
alu
atio
n
b
ased
o
n
th
e
R
OUGE
s
c
o
r
e,
wh
ich
m
ea
s
u
r
es
th
e
q
u
ality
o
f
th
e
ch
atb
o
t'
s
r
esp
o
n
s
es
b
y
co
m
p
ar
in
g
th
em
to
r
ef
er
e
n
ce
an
s
wer
s
.
T
h
is
ev
alu
atio
n
in
v
o
lv
es
th
r
ee
m
ain
m
etr
ics:
R
OUGE
-
1
,
R
OUGE
-
2
,
an
d
R
OUGE
-
L
.
E
ac
h
m
etr
ic
is
m
ea
s
u
r
ed
f
r
o
m
th
r
ee
asp
ec
ts
,
n
am
ely
p
r
ec
is
io
n
,
r
ec
all,
an
d
F1
-
m
ea
s
u
r
e
.
−
R
OUGE
-
1
m
ea
s
u
r
es
th
e
s
im
ilar
ity
b
ased
o
n
u
n
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icate
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−
R
OUGE
-
2
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ip
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−
R
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ased
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atch
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T
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R
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Q
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ii
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iii
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A
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Ou
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AG
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th
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er
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tan
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i
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g
a
n
d
ac
c
u
r
ac
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o
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ch
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r
esp
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s
es,
o
u
tp
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f
o
r
m
in
g
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im
p
ler
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s
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s
tem
s
ex
p
lo
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p
r
i
o
r
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T
h
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g
g
ests
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at
em
p
lo
y
in
g
a
r
etr
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v
al
-
au
g
m
e
n
ted
a
p
p
r
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ac
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ef
f
ec
tiv
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p
p
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etailed
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tex
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if
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in
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o
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m
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eliv
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g
ativ
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m
p
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g
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q
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av
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b
ly
with
s
im
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ac
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L
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M
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Fig
u
r
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5
p
r
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an
in
ter
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e
ch
atb
o
t
in
ter
f
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s
p
ec
if
ic
ally
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esig
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to
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lth
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m
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m
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iti
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ch
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tical
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v
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ch
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p
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m
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ig
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r
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T
h
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ch
at
b
o
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s
u
cc
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f
u
lly
id
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tifie
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ac
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s
er
an
d
p
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v
id
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s
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th
at
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ad
v
Ap
p
l Sci
I
SS
N:
2252
-
8
8
1
4
La
r
g
e
la
n
g
u
a
g
e
mo
d
els a
n
d
r
e
tr
ieva
l
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g
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b
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ch
a
t
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…
(
A
n
d
i R
ia
n
s
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h
)
855
wer
e
r
elev
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t
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th
e
co
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t
o
f
th
e
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esti
o
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s
.
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h
is
in
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icate
s
th
at
th
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ca
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ize
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m
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in
ac
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with
th
e
co
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t
t
h
at
h
as
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ee
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em
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ed
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ed
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to
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m
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el.
Fig
u
r
e
6
s
h
o
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th
e
c
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n
v
er
s
atio
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ag
e
b
etwe
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r
ev
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m
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o
f
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to
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h
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ically
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Fig
u
r
e
5
.
C
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Fig
u
r
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6
.
C
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4.
CO
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ased
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M
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ir
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with
an
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e
R
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s
co
r
e
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f
R
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-
1
:
p
r
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is
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n
8
7
.
8
%,
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all
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3
.
0
%,
an
d
F1
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m
ea
s
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r
e
8
4
.
0
%;
R
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-
2
:
p
r
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is
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2
.
8
%,
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.
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d
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m
ea
s
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r
e
7
8
.
2
%
;
an
d
R
OUGE
-
L
:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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I
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N:
2252
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8
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7
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58
858
BIO
G
RAP
H
I
E
S O
F
AUTH
O
RS
And
i
Ria
n
sy
a
h
is
a
c
o
m
p
u
ter
sc
ien
ti
st
wit
h
a
b
a
c
h
e
lo
r
o
f
c
o
m
p
u
ter
sc
ien
c
e
d
e
g
re
e
fro
m
Un
iv
e
rsitas
Isla
m
S
u
lt
a
n
Ag
u
n
g
a
n
d
a
m
a
ste
r
o
f
in
fo
r
m
a
ti
o
n
sy
ste
m
s
d
e
g
re
e
fro
m
Un
iv
e
rsitas
Dip
o
n
e
g
o
r
o
.
He
p
o
ss
e
ss
e
s
o
v
e
r
7
y
e
a
rs
o
f
re
se
a
rc
h
e
x
p
e
rien
c
e
a
n
d
h
a
s
a
c
q
u
ired
a
p
ro
f
o
u
n
d
u
n
d
e
rsta
n
d
in
g
o
f
c
o
m
p
u
ter
sc
ien
c
e
,
m
a
k
in
g
n
o
tew
o
rth
y
c
o
n
tri
b
u
ti
o
n
s
to
sc
ien
t
ifi
c
a
d
v
a
n
c
e
m
e
n
t.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
a
n
d
i@u
n
issu
la.ac
.
id
.
Im
a
m
Mu
c
h
Ibn
u
S
u
b
r
o
to
re
c
e
iv
e
d
th
e
P
h
.
D.
d
e
g
re
e
fro
m
Un
i
v
e
rsiti
Tek
n
o
l
o
g
i
M
a
lay
sia
in
2
0
1
5
.
He
is
c
u
rre
n
tl
y
a
S
e
n
io
r
Lec
tu
re
r
with
t
h
e
De
p
a
rtme
n
t
o
f
In
f
o
rm
a
ti
c
s
En
g
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n
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rin
g
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iv
e
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m
S
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lt
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n
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g
u
n
g
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t
h
e
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n
d
e
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o
f
S
INTA
a
n
d
t
h
e
f
o
u
n
d
e
r
o
f
G
AR
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A.
His
re
s
e
a
rc
h
in
tere
st
s
in
c
lu
d
e
c
o
m
p
u
ter
sc
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c
e
,
a
rti
ficia
l
in
telli
g
e
n
c
e
,
m
a
c
h
in
e
lea
rn
in
g
,
d
a
ta
m
i
n
in
g
,
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d
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d
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c
a
ti
o
n
tec
h
n
o
l
o
g
y
.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
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:
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m
@u
n
issu
la.ac
.
id
.
Inta
n
Nur'a
i
n
i
p
rima
ry
fo
c
u
s
li
e
s
in
c
o
m
p
u
ter
sc
ien
c
e
,
p
a
rti
c
u
l
a
rly
in
th
e
field
o
f
d
a
ta
e
n
g
i
n
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e
r
in
g
a
n
d
a
rti
ficia
l
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telli
g
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n
c
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,
wh
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re
h
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a
s
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m
p
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ted
n
u
m
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ro
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rse
s
a
n
d
re
se
a
rc
h
p
ro
jec
ts.
As
id
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fr
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m
h
is
a
c
a
d
e
m
ic
p
u
rs
u
it
s.
S
h
e
c
a
n
b
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c
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n
tac
ted
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m
a
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tan
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ra
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td
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u
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id
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Ra
tn
a
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u
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p
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y
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x
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rt
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S
h
e
re
c
e
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d
a
Ba
c
h
e
lo
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o
f
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sy
c
h
o
lo
g
y
a
n
d
a
M
a
ste
r
o
f
P
s
y
c
h
o
lo
g
y
fro
m
G
a
j
a
h
M
a
d
a
Un
i
v
e
rsity
.
S
h
e
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
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:
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p
ra
d
e
wi@u
n
issu
la.ac
.
id
.
S
u
y
a
n
to
S
u
y
a
n
t
o
is
a
n
u
rsin
g
lec
tu
re
r.
He
re
c
e
iv
e
d
a
Ba
c
h
e
lo
r
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f
Nu
rsin
g
d
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re
e
(S
.
Ke
p
.
),
a
M
a
ste
r
o
f
N
u
rsin
g
d
e
g
re
e
(M
.
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p
.
),
a
n
d
a
M
e
d
ica
l
-
S
u
rg
ica
l
Nu
rsi
n
g
S
p
e
c
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c
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rti
fica
ti
o
n
.
(S
p
.
Ke
p
.
M
B
.
)
.
He
c
a
n
b
e
c
o
n
tac
ted
at
e
m
a
il
:
su
y
a
n
to
@u
n
issu
la.ac
.
i
d
.
Evaluation Warning : The document was created with Spire.PDF for Python.