Overview

Dataset statistics

Number of variables4
Number of observations1509
Missing cells0
Missing cells (%)0.0%
Duplicate rows19
Duplicate rows (%)1.3%
Total size in memory47.3 KiB
Average record size in memory32.1 B

Variable types

DateTime1
Text3

Dataset

Description농림식품기술기획평가원_농림수산식품 식품·유통 R&D 논문 정보 발표년월, 논문명, 저자, 게재지명 등 관련 정보가 포함되어 있습니다.
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15053198/fileData.do

Alerts

Dataset has 19 (1.3%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 10:10:49.070896
Analysis finished2023-12-12 10:10:50.033805
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발표일자
Date

Distinct49
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
Minimum2009-12-01 00:00:00
Maximum2013-12-01 00:00:00
2023-12-12T19:10:50.159635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:10:50.353509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

논문명
Text

Distinct1468
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2023-12-12T19:10:50.723830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length276
Median length155
Mean length74.181577
Min length11

Characters and Unicode

Total characters111940
Distinct characters653
Distinct categories13 ?
Distinct scripts5 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1433 ?
Unique (%)95.0%

Sample

1st row새로운 에어블라스트 냉동고의 착상 특성의 실험적 고찰
2nd row발효김치 중 면역활성 젖산균의 분리 및 특성
3rd row감나무잎 추출물에 대한 화장품약리활성 검증
4th rowAnticoagulant and fibrinolytic activities of hwanggeumchal sorghum in vitro
5th row국내 일부 자생식물 추출물의 여드름균 항균활성 탐색
ValueCountFrequency (%)
of 846
 
4.9%
and 549
 
3.2%
in 363
 
2.1%
및 276
 
1.6%
the 209
 
1.2%
on 177
 
1.0%
from 156
 
0.9%
a 112
 
0.6%
by 110
 
0.6%
특성 100
 
0.6%
Other values (5979) 14338
83.2%
2023-12-12T19:10:51.266360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15750
 
14.1%
e 7257
 
6.5%
i 6967
 
6.2%
a 6184
 
5.5%
o 6029
 
5.4%
n 5600
 
5.0%
t 5588
 
5.0%
r 4343
 
3.9%
s 4091
 
3.7%
c 3444
 
3.1%
Other values (643) 46687
41.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 70150
62.7%
Other Letter 17196
 
15.4%
Space Separator 15750
 
14.1%
Uppercase Letter 6741
 
6.0%
Dash Punctuation 607
 
0.5%
Decimal Number 568
 
0.5%
Other Punctuation 495
 
0.4%
Close Punctuation 202
 
0.2%
Open Punctuation 202
 
0.2%
Final Punctuation 12
 
< 0.1%
Other values (3) 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 755
 
4.4%
성 556
 
3.2%
한 398
 
2.3%
에 390
 
2.3%
및 282
 
1.6%
이 275
 
1.6%
분 263
 
1.5%
가 261
 
1.5%
리 221
 
1.3%
산 221
 
1.3%
Other values (548) 13574
78.9%
Lowercase Letter
ValueCountFrequency (%)
e 7257
10.3%
i 6967
9.9%
a 6184
 
8.8%
o 6029
 
8.6%
n 5600
 
8.0%
t 5588
 
8.0%
r 4343
 
6.2%
s 4091
 
5.8%
c 3444
 
4.9%
l 3275
 
4.7%
Other values (21) 17372
24.8%
Uppercase Letter
ValueCountFrequency (%)
A 663
 
9.8%
C 629
 
9.3%
P 589
 
8.7%
S 558
 
8.3%
E 468
 
6.9%
M 371
 
5.5%
I 359
 
5.3%
R 338
 
5.0%
T 317
 
4.7%
L 288
 
4.3%
Other values (16) 2161
32.1%
Other Punctuation
ValueCountFrequency (%)
, 248
50.1%
. 139
28.1%
/ 47
 
9.5%
: 40
 
8.1%
' 8
 
1.6%
; 5
 
1.0%
# 3
 
0.6%
& 3
 
0.6%
% 1
 
0.2%
· 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 145
25.5%
2 86
15.1%
3 65
11.4%
0 62
10.9%
7 52
 
9.2%
5 39
 
6.9%
4 38
 
6.7%
6 34
 
6.0%
9 24
 
4.2%
8 23
 
4.0%
Math Symbol
ValueCountFrequency (%)
= 1
16.7%
| 1
16.7%
+ 1
16.7%
∼ 1
16.7%
> 1
16.7%
< 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 196
97.0%
] 4
 
2.0%
』 2
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 196
97.0%
[ 4
 
2.0%
『 2
 
1.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
15750
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 607
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 12
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 76882
68.7%
Common 17851
 
15.9%
Hangul 17194
 
15.4%
Greek 11
 
< 0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 755
 
4.4%
성 556
 
3.2%
한 398
 
2.3%
에 390
 
2.3%
및 282
 
1.6%
이 275
 
1.6%
분 263
 
1.5%
가 261
 
1.5%
리 221
 
1.3%
산 221
 
1.3%
Other values (546) 13572
78.9%
Latin
ValueCountFrequency (%)
e 7257
 
9.4%
i 6967
 
9.1%
a 6184
 
8.0%
o 6029
 
7.8%
n 5600
 
7.3%
t 5588
 
7.3%
r 4343
 
5.6%
s 4091
 
5.3%
c 3444
 
4.5%
l 3275
 
4.3%
Other values (44) 24104
31.4%
Common
ValueCountFrequency (%)
15750
88.2%
- 607
 
3.4%
, 248
 
1.4%
) 196
 
1.1%
( 196
 
1.1%
1 145
 
0.8%
. 139
 
0.8%
2 86
 
0.5%
3 65
 
0.4%
0 62
 
0.3%
Other values (26) 357
 
2.0%
Greek
ValueCountFrequency (%)
γ 5
45.5%
α 2
 
18.2%
β 2
 
18.2%
κ 1
 
9.1%
δ 1
 
9.1%
Han
ValueCountFrequency (%)
錢 1
50.0%
茶 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 94704
84.6%
Hangul 17192
 
15.4%
Punctuation 21
 
< 0.1%
None 16
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK 1
 
< 0.1%
Math Operators 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15750
16.6%
e 7257
 
7.7%
i 6967
 
7.4%
a 6184
 
6.5%
o 6029
 
6.4%
n 5600
 
5.9%
t 5588
 
5.9%
r 4343
 
4.6%
s 4091
 
4.3%
c 3444
 
3.6%
Other values (72) 29451
31.1%
Hangul
ValueCountFrequency (%)
의 755
 
4.4%
성 556
 
3.2%
한 398
 
2.3%
에 390
 
2.3%
및 282
 
1.6%
이 275
 
1.6%
분 263
 
1.5%
가 261
 
1.5%
리 221
 
1.3%
산 221
 
1.3%
Other values (545) 13570
78.9%
Punctuation
ValueCountFrequency (%)
’ 12
57.1%
‘ 9
42.9%
None
ValueCountFrequency (%)
γ 5
31.2%
』 2
 
12.5%
α 2
 
12.5%
β 2
 
12.5%
『 2
 
12.5%
κ 1
 
6.2%
· 1
 
6.2%
δ 1
 
6.2%
Compat Jamo
ValueCountFrequency (%)
ㅌ 2
100.0%
CJK
ValueCountFrequency (%)
錢 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%

저자
Text

Distinct1082
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2023-12-12T19:10:51.671448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length3
Mean length6.5168986
Min length2

Characters and Unicode

Total characters9834
Distinct characters266
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique853 ?
Unique (%)56.5%

Sample

1st row형기우
2nd row최재임
3rd row이진만
4th rowYoungHoKim
5th row이진만
ValueCountFrequency (%)
kim 50
 
2.5%
lee 40
 
2.0%
choi 22
 
1.1%
park 18
 
0.9%
황인국 13
 
0.7%
jung 11
 
0.6%
j 11
 
0.6%
ji 11
 
0.6%
eun 10
 
0.5%
jeong 9
 
0.5%
Other values (1174) 1804
90.2%
2023-12-12T19:10:52.249031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 696
 
7.1%
490
 
5.0%
o 489
 
5.0%
i 407
 
4.1%
a 396
 
4.0%
e 394
 
4.0%
u 369
 
3.8%
, 348
 
3.5%
g 340
 
3.5%
- 235
 
2.4%
Other values (256) 5670
57.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4036
41.0%
Other Letter 2979
30.3%
Uppercase Letter 1591
 
16.2%
Other Punctuation 501
 
5.1%
Space Separator 490
 
5.0%
Dash Punctuation 235
 
2.4%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 196
 
6.6%
이 132
 
4.4%
정 131
 
4.4%
박 93
 
3.1%
희 84
 
2.8%
영 84
 
2.8%
혜 64
 
2.1%
수 64
 
2.1%
최 63
 
2.1%
지 63
 
2.1%
Other values (201) 2005
67.3%
Uppercase Letter
ValueCountFrequency (%)
J 228
14.3%
K 199
12.5%
S 196
12.3%
H 177
11.1%
Y 103
 
6.5%
M 95
 
6.0%
L 94
 
5.9%
C 86
 
5.4%
W 55
 
3.5%
E 51
 
3.2%
Other values (16) 307
19.3%
Lowercase Letter
ValueCountFrequency (%)
n 696
17.2%
o 489
12.1%
i 407
10.1%
a 396
9.8%
e 394
9.8%
u 369
9.1%
g 340
8.4%
h 205
 
5.1%
m 180
 
4.5%
y 123
 
3.0%
Other values (12) 437
10.8%
Other Punctuation
ValueCountFrequency (%)
, 348
69.5%
. 110
 
22.0%
; 43
 
8.6%
Space Separator
ValueCountFrequency (%)
490
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 235
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5627
57.2%
Hangul 2979
30.3%
Common 1228
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 196
 
6.6%
이 132
 
4.4%
정 131
 
4.4%
박 93
 
3.1%
희 84
 
2.8%
영 84
 
2.8%
혜 64
 
2.1%
수 64
 
2.1%
최 63
 
2.1%
지 63
 
2.1%
Other values (201) 2005
67.3%
Latin
ValueCountFrequency (%)
n 696
 
12.4%
o 489
 
8.7%
i 407
 
7.2%
a 396
 
7.0%
e 394
 
7.0%
u 369
 
6.6%
g 340
 
6.0%
J 228
 
4.1%
h 205
 
3.6%
K 199
 
3.5%
Other values (38) 1904
33.8%
Common
ValueCountFrequency (%)
490
39.9%
, 348
28.3%
- 235
19.1%
. 110
 
9.0%
; 43
 
3.5%
( 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6855
69.7%
Hangul 2979
30.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 696
 
10.2%
490
 
7.1%
o 489
 
7.1%
i 407
 
5.9%
a 396
 
5.8%
e 394
 
5.7%
u 369
 
5.4%
, 348
 
5.1%
g 340
 
5.0%
- 235
 
3.4%
Other values (45) 2691
39.3%
Hangul
ValueCountFrequency (%)
김 196
 
6.6%
이 132
 
4.4%
정 131
 
4.4%
박 93
 
3.1%
희 84
 
2.8%
영 84
 
2.8%
혜 64
 
2.1%
수 64
 
2.1%
최 63
 
2.1%
지 63
 
2.1%
Other values (201) 2005
67.3%

게재지명
Text

Distinct560
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2023-12-12T19:10:52.596287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length124
Median length64
Mean length20.363154
Min length4

Characters and Unicode

Total characters30728
Distinct characters238
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique364 ?
Unique (%)24.1%

Sample

1st row대한설비공학회지
2nd row유산균학회지
3rd row대한미용학회
4th rowJournal of Life Science
5th row대한미용학회
ValueCountFrequency (%)
of 351
 
8.8%
journal 327
 
8.2%
and 251
 
6.3%
food 234
 
5.8%
science 168
 
4.2%
korean 111
 
2.8%
biotechnology 89
 
2.2%
한국식품영양과학회지 71
 
1.8%
chemistry 69
 
1.7%
microbiology 68
 
1.7%
Other values (521) 2265
56.6%
2023-12-12T19:10:53.089097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2497
 
8.1%
o 1463
 
4.8%
O 1311
 
4.3%
e 981
 
3.2%
n 975
 
3.2%
E 899
 
2.9%
i 876
 
2.9%
A 861
 
2.8%
N 788
 
2.6%
학 780
 
2.5%
Other values (228) 19297
62.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 10818
35.2%
Lowercase Letter 10155
33.0%
Other Letter 7058
23.0%
Space Separator 2497
 
8.1%
Other Punctuation 69
 
0.2%
Decimal Number 36
 
0.1%
Close Punctuation 32
 
0.1%
Open Punctuation 32
 
0.1%
Dash Punctuation 25
 
0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 780
 
11.1%
회 711
 
10.1%
지 616
 
8.7%
한 608
 
8.6%
국 586
 
8.3%
식 402
 
5.7%
품 328
 
4.6%
과 309
 
4.4%
생 162
 
2.3%
양 145
 
2.1%
Other values (156) 2411
34.2%
Lowercase Letter
ValueCountFrequency (%)
o 1463
14.4%
e 981
9.7%
n 975
9.6%
i 876
 
8.6%
a 777
 
7.7%
r 734
 
7.2%
c 653
 
6.4%
l 636
 
6.3%
t 493
 
4.9%
d 368
 
3.6%
Other values (16) 2199
21.7%
Uppercase Letter
ValueCountFrequency (%)
O 1311
12.1%
E 899
 
8.3%
A 861
 
8.0%
N 788
 
7.3%
I 766
 
7.1%
R 744
 
6.9%
C 693
 
6.4%
L 628
 
5.8%
S 535
 
4.9%
T 473
 
4.4%
Other values (16) 3120
28.8%
Decimal Number
ValueCountFrequency (%)
0 10
27.8%
2 9
25.0%
9 5
13.9%
6 3
 
8.3%
7 2
 
5.6%
1 2
 
5.6%
3 2
 
5.6%
8 2
 
5.6%
4 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
& 29
42.0%
. 28
40.6%
; 4
 
5.8%
# 4
 
5.8%
: 3
 
4.3%
· 1
 
1.4%
Space Separator
ValueCountFrequency (%)
2497
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
= 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20973
68.3%
Hangul 7021
 
22.8%
Common 2697
 
8.8%
Han 37
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 780
 
11.1%
회 711
 
10.1%
지 616
 
8.8%
한 608
 
8.7%
국 586
 
8.3%
식 402
 
5.7%
품 328
 
4.7%
과 309
 
4.4%
생 162
 
2.3%
양 145
 
2.1%
Other values (137) 2374
33.8%
Latin
ValueCountFrequency (%)
o 1463
 
7.0%
O 1311
 
6.3%
e 981
 
4.7%
n 975
 
4.6%
E 899
 
4.3%
i 876
 
4.2%
A 861
 
4.1%
N 788
 
3.8%
a 777
 
3.7%
I 766
 
3.7%
Other values (42) 11276
53.8%
Common
ValueCountFrequency (%)
2497
92.6%
) 32
 
1.2%
( 32
 
1.2%
& 29
 
1.1%
. 28
 
1.0%
- 25
 
0.9%
0 10
 
0.4%
2 9
 
0.3%
= 6
 
0.2%
9 5
 
0.2%
Other values (10) 24
 
0.9%
Han
ValueCountFrequency (%)
硏 4
 
10.8%
究 4
 
10.8%
生 3
 
8.1%
學 3
 
8.1%
物 2
 
5.4%
國 2
 
5.4%
源 2
 
5.4%
資 2
 
5.4%
動 2
 
5.4%
韓 2
 
5.4%
Other values (9) 11
29.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23669
77.0%
Hangul 7021
 
22.8%
CJK 37
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2497
 
10.5%
o 1463
 
6.2%
O 1311
 
5.5%
e 981
 
4.1%
n 975
 
4.1%
E 899
 
3.8%
i 876
 
3.7%
A 861
 
3.6%
N 788
 
3.3%
a 777
 
3.3%
Other values (61) 12241
51.7%
Hangul
ValueCountFrequency (%)
학 780
 
11.1%
회 711
 
10.1%
지 616
 
8.8%
한 608
 
8.7%
국 586
 
8.3%
식 402
 
5.7%
품 328
 
4.7%
과 309
 
4.4%
생 162
 
2.3%
양 145
 
2.1%
Other values (137) 2374
33.8%
CJK
ValueCountFrequency (%)
硏 4
 
10.8%
究 4
 
10.8%
生 3
 
8.1%
學 3
 
8.1%
物 2
 
5.4%
國 2
 
5.4%
源 2
 
5.4%
資 2
 
5.4%
動 2
 
5.4%
韓 2
 
5.4%
Other values (9) 11
29.7%
None
ValueCountFrequency (%)
· 1
100.0%

Missing values

2023-12-12T19:10:49.848080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:10:49.975918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

발표일자논문명저자게재지명
02013-12-01새로운 에어블라스트 냉동고의 착상 특성의 실험적 고찰형기우대한설비공학회지
12013-12-01발효김치 중 면역활성 젖산균의 분리 및 특성최재임유산균학회지
22013-12-01감나무잎 추출물에 대한 화장품약리활성 검증이진만대한미용학회
32013-12-01Anticoagulant and fibrinolytic activities of hwanggeumchal sorghum in vitroYoungHoKimJournal of Life Science
42013-12-01국내 일부 자생식물 추출물의 여드름균 항균활성 탐색이진만대한미용학회
52013-12-01Comparison of Bifidogenic Growth Stimulation Activities of Fermented Whey PrototypesGi-SeongMoonPreventive Nutrition and Food Science
62013-12-01국내산 및 일본산 천일염의 패키징 디자인 비교 분석강희수한국포장학회
72013-12-01간헐적 운동부하에서 흑마늘과 생약재의 복합처방이 흰쥐의 체내 지질 성분 및 항산화에 미치는 영향이수정한국생명과학회지
82013-12-01In vitro study of potentially probiotic lactic acid bacteria strains isolated from kimchiEunHyeRyuAnnals of Microbiology
92013-12-01가열기구에 따른 조리방법이 소고기의 품질특성에 미치는 영향전기홍한국조리학회지
발표일자논문명저자게재지명
14992009-12-01용매 추출과 병용 추출법을 이용한 양파 과육으로부터 quercetin 관련물질의 추출진은영Food Engineering Progress
15002009-12-01신선 과채류에 존재하는 박테리오신 유사 활성을 지니는 유산균의 분포와 다양성박영서Food Engineering Progress
15012009-12-01마 추출물이 방사선처리 식물세포의 생장과 핵 DNA 손상에 미치는 영향권순태한국자원식물학회지
15022009-12-01감분말의 입자크기가 특성에 미치는 영향최소영Proceedings of The Korean Society of Postharvest Science and Technology of Agricultural Products Conference
15032009-12-01Induction of IL-8 expression by bacterial flagellin is mediated through lipid raft formation and intracellular TLR5 activation in A549 cellsIm,J.;Im, J.Molecular Immunology
15042009-12-01학교급식에서 제공되는 튀김식품의 원료별 이용실태 및 관리공정김은미한국식품영양과학회지
15052009-12-01대마 구성 세포의 현미경적 관찰이명구2009년 추계학술논문발표집
15062009-12-01Chrysosporium pseudomerdarium produces gibberellins and promotes plant growth.Hamayun,Muhammad;Hamayun, MuhammadJournal Of Microbiology
15072009-12-01Lactic acid fermentation of onion juice added with puffed red ginseng extract박지만한국산업식품공학회 2009년도 춘계심포지엄 및 학술대회 초록집
15082009-12-01Refrigeration of Riptortus clavatus (Hemiptera: Alydidae) eggs for the parasitization by Gryon japonicum (Hymenoptera: Scelionidae)Alim,M.A.;Alim, M. A.Biocontrol Science and Technology

Duplicate rows

Most frequently occurring

발표일자논문명저자게재지명# duplicates
102012-09-01치즈 숙성 중의 곰팡이 오염 방제 - 현황과 전망정후길한국유가공기술과학회지3
162012-12-01미산성 전해수로 처리한 생식원료의 저장 중 미생물 저감 효과 및 색도 변화김광희한국식품영양과학회지3
02009-12-01ATM blocks tunicamycin-induced endoplasmic reticulum stressHe,L.;He, L.FEBS Letters2
12010-02-01사료첨가용 생균제 개발을 위한 마늘 내성 유산균의 배양 조건박영서Food Engineering Progress2
22010-06-01기능성 물질의 첨가가 폐계육이 함유된 게맛살의 저장중 품질에 미치는 영향진상근생명과학회지2
32010-08-01Bacillus cereus 증식 억제능을 가지는 Bacillus licheniformis SCK121057의 분리 및 특성김용상한국미생물학회지2
42010-12-01국내 막걸리 산업의 현황과 발전 방안여수환한국식품과학회지2
52011-12-01The Changes of Natural Microflora in Liver Sausage with Kimchi Powder during StoragesKim, Hyoun WookKOREAN JOURNAL FOR FOOD SCIENCE OF ANIMAL RESOURCES2
62012-01-01Effects of slightly acidic low concentration electrolyzed water on microbiological, physicochemical, and sensory quality of fresh chicken breast meat.S.M.E. RahmanJournal of Food Science2
72012-08-01Effects of combined treatment of aqueous chlorine dioxide and UV-C or electron beam irradiation on the microbial growth and quality in chicon during storage강지훈한국식품영양과학회지2