39 research outputs found
์๋ง๊ธ ๊ฐ์ฒ์ง์ ์ผ์์๋ฌผ ๊ตฐ๋ฝ์ง ์กฐ์ฑ ์์ธ๊ณผ ํ๊ฒฝ์ ํจ๊ณผ ์ฐ๊ตฌ
ํ์๋
ผ๋ฌธ (๋ฐ์ฌ)-- ์์ธ๋ํ๊ต ๋ํ์ : ๋์๋ช
๊ณตํ๋ถ ์์ฉ์๋ช
ํํ ์ ๊ณต, 2013. 2. ๊น๋ฏผ๊ท .The two objectives of the present dissertation are to clarify development of halophyte communities constructed in Saemangeum reclaimed land and to quantify the environmental effects of halophyte communities. Through halophyte community development using 11,652 kg of eight halophytic species in 2,866 ha of the land from 2006 to 2008, halophytic area confined to autogenous 689 ha in 2005 increased to 4,364 ha by 6.3 times. The number of halophytic species increased from 4 in 2006 to 25 in 2008 and both average and maximum population densities rapidly increased. Besides, the number of plant species increased in 79% of the common quadrats for three years and halophyte community growth classified into five classes (from Class 1 to Class 5 with smaller numbers indicating better growth) was improved as the proportion of quadrats belonging to Class 1 or Class 2 increased from 38% to 86.8%. In salt response and flooding experiments, halophytic species with ever-increasing emergence percentage as soil electrical conductivity (EC) dropped to 0.88 dS m-1 through four-time desaltings were Suaeda asparagoides, Suaeda japonica, Limonium tetragonum, and Atriplex gmelini. S. asparagoides and S. japonica had an advantage for growing in the intermittently-flooded condition. Annual halophytes of S. asparagoides, S. japonica, and S. europaea were categorized into the upper EC group. Halophyte communities always located above high water level during the growing seasons and did not emerge in the seawater-flooded areas. In 2006, magnesium, potassium and sodium as well as soil EC had a significantly negative relationship with halophyte community growth. The negative relationship between plant species and soil EC persisted until 2008. Plant height was found to have a significantly negative relationship (R2=0.95) with soil EC. The electrical conductivity of a saturated soil extract (ECe) according to halophyte community growth from seven ECe maps made by electromagnetic measurement system was 24 to 27(ยฑ9) dS m-1 for Class 1, 31 to 36(ยฑ8) dS m-1 for Class 2, 33 to 37(ยฑ10) dS m-1 for Class 3, and 29 to 33(ยฑ13) dS m-1 for Class 4 respectively. Sixty eight % of quadrats in rake-plowing area showed growth better than Class 4, whereas 53% of quadrats in non-plowing area did.
In the experiments on wind reduction by halophyte communities, the wind was blocked at a height of 20 cm within a halophyte community beginning to be clearly reduced from the starting point of halophytes and stabilized through halophytes. The maximum wind reduction was 82 to 38% at a height of 20 cm within a halophyte community. Wind velocity was reduced through halophytes largely at heights of below 60 cm, which are lower than halophytes. Wind reduction percentage by a halophyte community was maximally 76% at a height of 20 cm. Total suspended particulate (TSP) decreased by 60.7% passing through a group of transplanted halophytes and the reduction effect continued almost the same to 50 m behind the community. Dust reduction behind halophyte communities amounted to 43.8 ug m-3 for TSP and 14.7 ug m-3 for PM10 (Particlulates <10 ฮผm). TSP collected within halophyte communities averaged 37.0 ug m-3 with differenences among four halophyte communities of S. asparagoides, Phragmites communis, Atriplex subulatus, and S. europaea. Nitrogen (total nitrogen), phosphorus (P2O5), and sodium (Na+) contents absorbed by halophytes in 2005 before halophyte community development were 2.60, 0.14, and 4.98 g m-2 respectively. Nitrogen, phosphorus, and sodium contents in S. asparagoides, S. japonica, and S. europaea were 1.24 to 2.20 g m-2, 0.07 to 0.13 g m-2, and 2.91 to 4.59 g m-2. However, in 2010 after halophyte community development, they were 0.45 g m-2, 0.04 g m-2, and 0.08 g m-2 respectively. On the basis of halophyte community area developed in 2006 (1,236 ha), the amount of total nitrogen (T-N), P2O5 and Na+ absorbed by only a major halophytic species of S. asparagoides amounted up to 439, 78, and 914 ton respectively.
In conclusion, it was most critical to select halophytic species with superior qualities against the harsh environment of reclaimed land such as salinity and flooding for halophyte community development. The annual halophytes mainly used in sowing not only held high germination capacity and velocity but also displayed broad salt-adaptability and tolerance to flooding. Sowing in the area at higher elevation than high level of seawater was important for halophyte communities to emerge. EC among soil properties had a significantly negative relationship with halophyte community until 2008. It was found that halophyte communities were capable of collecting significant dust as well as definitely reducing and stabilizing wind velocity. A great deal of nitrogen, phosphorus, and sodium absorbed into halophytic species in the reclaimed land can consequently contribute for lowering the levels of soil nitrogen and phosphorus leading to freshwater lake eutrophication or improving salt-affected soils.CONTENTS
ABSTRACT ........................................................................................... i
LITERATURE REVIEW .................................................................... 1
1. Halophyte community development ..................................................... 1
2. Factors affecting halophyte communities ............................................. 1
3. Soil EC measurement ............................................................................ 7
4. Analysis of halophyte community distribution ..................................... 8
5. Practical uses of halophytes .................................................................. 9
REFERENCES ................................................................................... 11
Chapter I. Development of Halophyte Communities
ABSTRACT ........................................................................................ 24
INTRODUCTION .............................................................................. 26
MATERIALS AND METHODS ....................................................... 29
1. Germination experiment ..................................................................... 29
2. Salt response experiment .................................................................... 29
3. Flooding experiment ........................................................................... 30
4. Halophyte community development ................................................... 30
5. Halophyte community monitoring ...................................................... 46
6. Soil analysis ........................................................................................ 50
RESULTS ............................................................................................ 56
1. Methodology of halophyte community development ......................... 56
2. Change of halophyte communities ...................................................... 62
3. Development of halophyte communities ............................................ 78
DISCUSSION .................................................................................... 133
REFERENCES ................................................................................. 143
Chapter II. Environmental Effects of Halophyte Communities
ABSTRACT ...................................................................................... 152
INTRODUCTION ............................................................................ 154
MATERIALS AND METHODS ..................................................... 156
1. Wind reduction experiments ............................................................. 156
2. Dust collection experiments .............................................................. 157
3. Absorbed nutrient analysis ................................................................ 161
RESULTS .......................................................................................... 164
1. Wind reduction .................................................................................. 164
2. Dust collection .................................................................................. 168
3. Nutrient absorption ........................................................................... 174
DISCUSSION .................................................................................... 182
REFERENCES ................................................................................. 187
CONCLUSION ................................................................................. 190
ABSTRACT IN KOREAN .............................................................. 192
ACKNOWLEDGEMENTS ............................................................. 196
APPENDIXES ................................................................................... 197Docto
๊ฑด์ค๊ธฐ๊ณ ์์ง๋ง์ดํธ ์ต์ ์ค๊ณ์ ๊ดํ ์ค์ฉ์ ์ฐ๊ตฌ
ํ์๋
ผ๋ฌธ (์์ฌ)-- ์์ธ๋ํ๊ต ๋ํ์ : ๊ธฐ๊ณํญ๊ณต๊ณตํ๋ถ, 2014. 2. ๊ฐ์ฐ์ค.์์ง๋ง์ดํธ ์ต์ ์ค๊ณ์ ๊ดํ ๊ธฐ์กด์ ์ฐ๊ตฌ๋ ๋ง์ดํธ ๊ฐ์ฑ์ ๊ณ ์ ๋ ๊ฐ์ผ๋ก ๊ฐ์ ํ์๋ค. ํ์ง๋ง ๋ง์ดํธ ๊ฐ์ฑ์ ํ์ฌ์กฐ๊ฑด(์ฃผํ์, ๋ณ์, ์ด๊ธฐํ์ค)์ ๋ฐ๋ผ์ ๋ฌ๋ผ์ง๋ฉฐ ์ธ๋ถํ๊ฒฝ ์กฐ๊ฑด(์จ๋)์ ๋ฐ๋ผ์๋ ๋ค๋ฅธ ๊ฐ์ ๊ฐ์ง๋ค. ๋ณธ ์ฐ๊ตฌ์์๋ ์กฐ๊ฑด์ ๋ฐ๋ผ ๋ฌ๋ผ์ง๋ ๋ง์ดํธ ๊ฐ์ฑ์ ํ๊ท ๊ณผ ํ์คํธ์ฐจ๋ฅผ ๊ฐ์ง๋ ์ ๊ทํ๋ฅ ๋ถํฌ๋ก ํํํ์ฌ ์ต์ ์ค๊ณ๋ฅผ ์ํํ์๊ณ ์ด๋ฅผ ์ ๋ขฐ์ฑ๊ธฐ๋ฐ ์ต์ ์ค๊ณ (Reliability Based Design Optimization)๋ผ๊ณ ํ๋ค. ์ต์ ์ค๊ณ๋ ๋ชฉ์ ํจ์, ์ ํ์กฐ๊ฑด, ์ค๊ณ๋ณ์๋ก ์ด๋ฃจ์ด์ง๋ฉฐ ๋ชฉ์ ํจ์๋ ๊ฐ์ค์น๊ฐ ๋ถ์ฌ๋ ์ ๋ฌ๋ ฅ์ ํฉ์ผ๋ก ํํ๋๊ณ ์ ํ์กฐ๊ฑด์ ์ฃผ์ ๊ฐ์ง๋ชจ๋์ ์ฃผํ์๋น์ด๋ฉฐ ์ค๊ณ๋ณ์๋ ๋ง์ดํธ ๊ฐ์ฑ๊ณผ ๋ง์ดํธ ์์น์ด๋ค. ๋ณธ ์ฐ๊ตฌ์์๋ 5๊ธฐํต ์์ง์ ๋ํ ์ ๋ขฐ์ฑ๊ธฐ๋ฐ ์ต์ ์ค๊ณ๋ฅผ ์ํํ์ฌ ์ ๋ขฐ๋์ ๋ฐ๋ฅธ ์ต์ ์ ์ค๊ณ๋ณ์๊ฐ์ ์ฐพ์๋ด์๋ค.์ด ๋ก โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ i
๋ชฉ ์ฐจ โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ ii
LIST OF TABLES โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ iii
LIST OF FIGURES โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ iv
1. ์ ๋ก โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 1
2. ์์ง๋ง์ดํธ ๊ฐ์ฑ์ ํน์ฑ โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 2
2.1 ์ด์ ์กฐ๊ฑด(์ฃผํ์, ๋ณ์, ์ด๊ธฐํ์ค) โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 2
2.2 ์จ๋์กฐ๊ฑด โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 4
2.3 ๊ธฐํ ๊ณ ๋ ค์ฌํญ โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 5
3. ์ ๋ฌ๋ ฅ ๋ฐ ์์ง๊ฐ์ง๋ ฅ ํด์ โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 6
3.1 ์ ๋ฌ๋ ฅ ํด์ โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 6
3.2 ์์ง๊ฐ์ง๋ ฅ ํด์ โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 7
3.3 ์ ๋ฌ๋ ฅ ์ํ โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 9
4. ์ต์ ์ค๊ณ ์ํ โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 11
4.1 ์ ๋ขฐ์ฑ๊ธฐ๋ฐ ์ต์ ์ค๊ณ(RBDO) โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 11
4.2 ๋ชฉ์ ํจ์ โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 12
4.3 ์ค๊ณ๋ณ์ ๋ฐ ์ ํ์กฐ๊ฑด โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 13
4.4 ์ต์ ์ค๊ณ ์ โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 14
5. ๊ฒฐ ๋ก โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 31
์ฐธ๊ณ ๋ฌธํ โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 32
ABSTRACT โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 34Maste
Optimal Tuning of a Digital PID Controller Based on the PPGA and Model
In this paper, a methodology for estimating the parameters of discrete-time systems and designing a digital PID controller is presented. To deal with optimization problems occurring regarding parameter estimation and controller design, a pseudo parallel genetic algorithm(PPGA) is developed. The PPGA is characterized by several serial GAs, the migration model and the ring topology . The parameters of a discrete-time system are estimated using both the model technique and a PPGA. The digital PID controller is described by the pulse transfer function and its parameters are tuned based on both the model reference technique and another PPGA. A set of experimental works on two processes are carried out to illustrate the performance of the proposed method.์ 1์ฅ ์๋ก 1
์ 2์ฅ ์ต์ ํ ๋๊ตฌ๋ก์์ ๋ณ๋ ฌ ์ ์ ์๊ณ ๋ฆฌ์ฆ 4
2.1 ์ง๋ ฌ ์ ์ ์๊ณ ๋ฆฌ์ฆ์ ๊ตฌ์กฐ 4
2.1.1 ์ผ์์ฒด์ ํํ ๋ฐ ์ง๋จ์ ์ด๊ธฐํ 4
2.1.2 ์ ํฉ๋ ํ๊ฐ 5
2.1.3 ์ ์ ์ฐ์ฐ์ 6
2.1.4 ๊ธฐํ ์ ๋ต 8
2.1.5 ์ ์ง์กฐ๊ฑด 9
2.2 ์ ์ ์๊ณ ๋ฆฌ์ฆ์ ๋ณ๋ ฌํ 10
2.2.1 ์ด์ฃผ๋ชจ๋ธ ๊ตฌ์กฐ์ ๋ณ๋ ฌํ 11
2.2.2 ์ด์ฃผ๋ฐฉ๋ฒ 11
2.3 PPGA์ ๊ตฌํ 13
์ 3์ฅ ์ด์ฐ์๊ฐ ์์คํ
์ ํ๋ผ๋ฏธํฐ ์ถ์ 16
3.1 ์ ์ด๋์ ์์คํ
์ ํํ 16
3.2 ์ ์ด๋์ ์์คํ
์ ๋ชจ๋ธ 18
3.3 ํ๋ผ๋ฏธํฐ์ ์ถ์ 19
์ 4์ฅ ๋์งํธ PID ์ ์ด๊ธฐ์ ์ต์ ๋์กฐ 23
4.1 ๋์งํธ PID ์ ์ด๊ธฐ 23
4.2 PPGA์ ๊ธฐ์ค๋ชจ๋ธ ์ ์ด๊ธฐ๋ฒ์ ์ด์ฉํ ์ต์ ๋์กฐ 27
4.2.1 ๊ธฐ์ค๋ชจ๋ธ 27
4.2.2 PPGA๋ฅผ ์ด์ฉํ PID ์ ์ด๊ธฐ์ ์ต์ ๋์กฐ 29
์ 5์ฅ ์๋ฎฌ๋ ์ด์
๋ฐ ๊ฒฐ๊ณผ๊ฒํ 31
5.1 ์ด์ฐ์๊ฐ ๋ชจ๋ธ์ ํ๋ผ๋ฏธํฐ ์ถ์ 31
5.1.1 ์์คํ
I 31
5.1.2 ์์คํ
II 36
5.2 ๋์งํธ PID ์ ์ด๊ธฐ์ ์ต์ ๋์กฐ 40
5.2.1 ์์คํ
I 40
5.2.2 ์์คํ
II 44
์ 6์ฅ ๊ฒฐ๋ก 48
์ฐธ๊ณ ๋ฌธํ 4
A Study of the Classification of 4-Year University Students by Job Preference and the Length of Job Searching Period
๋ณธ ์ฐ๊ตฌ๋ 250๋ช
์ 4๋
์ ๋ํ์์ ๋์์ผ๋ก ์ทจ์
์ ํธ๋์ ๋ฐ๋ฅธ ์ ์ฌ์ง๋จ๋ถ์๊ณผ ๊ฐ ์ ์ฌ์ง๋จ๋ณ ์ทจ์
์์๊ธฐ๊ฐ ๋ถ์ ๋ฐ ์ํฅ์์ธ์ ๊ฒ์ฆํ์๋ค. ์กธ์
์์ ์ ์ทจ์
์ ํธ๋์ ๋ฐ๋ฅธ ์ ์ฌ์ง๋จ๋ถ์ ๊ฒฐ๊ณผ, ์ด์์ถ๊ตฌํ, ์ง์
ํ์ํ, ์์์คํํ, ์ฌ๋ฌด์ง์ ํธํ, ๋น์ฌ๋ฌด์ง์ ํธํ์ 5๊ฐ ์ง๋จ์ด ๋์ถ๋์๋ค. ๊ฐ ์ทจ์
์์๊ธฐ๊ฐ์ ๋ํ ์์กด๋ถ์๊ฒฐ๊ณผ, ์ ์ฌ์ง๋จ ๋ณ๋ก ์์ดํ ์ทจ์
์์๊ธฐ๊ฐ๊ณผ ๋ฏธ์ทจ์
๋ฅ ์ ๋ณด์๋ค. ์ทจ์
์์๊ธฐ๊ฐ์๋ ์ธ์ ์๋ณธ ์์ธ์ ์์ด์ ์์ ์ฌํ๊ฒฝ์ ์ ์์ธ์ ์ด๋จธ๋ ์ํ๊ท ์๋์ด ์ ์ํ ์ํญ์ ์ฃผ๋ ๋ณ์๋ก ๋ํ๋ฌ๋ค. ํ ์ต ์ ์๊ฐ ์์ ๊ฒฝ์ฐ์ ๋นํด 800์ ์ด์์ผ ๊ฒฝ์ฐ, ์ด๋จธ๋ ์ํ๊ท ์๋์ด ์์ ๊ฒฝ์ฐ์ ๋นํด 500๋ง์ ๋ฏธ๋ง 1,000๋ง์ ๋ฏธ๋ง์ผ ๊ฒฝ์ฐ ์ทจ์
์์๊ธฐ๊ฐ์ด ๋จ์ถ๋ ๊ฐ๋ฅ์ฑ์ด ๋์ ๊ฒ์ผ๋ก ๋ถ์๋์๋ค. ๋ณธ ์ฐ๊ตฌ๊ฐ ๊ณ ์ฉ์ ์ง์ ๋ํ ๋ถ๊ท ํ์ ํด์ํ๊ณ , ์ฒญ๋
๋ฏธ์ทจ์
์๋ค์ด ์์ ์ ์ง์
๊ฐ์น์ ๋ถํฉํ๋ ๋ค์ํ ์ผ์๋ฆฌ๋ฅผ ํ์ํ ์ ์๋๋ก ์ง์ํ๋ ํจ๊ณผ์ ์ธ ๋ฐฉํฅ์ฑ์ด ์ ์๋๊ธฐ๋ฅผ ๊ธฐ๋ํ๋ค.The present study applied Latent Class Analysis and Survival Analysis to classify college students by their job preferences and investigate the length of job searching period. According to the results of identifying latent classes by job preference, five classes were discerned for 250 college students. Each class showed distinctive length of job searching period and the unemployment rate. Also, the results of Survival Analysis showed that English test score (TOEIC) and motherโs average monthly income were significant determinants of length of job searching period. Based on the findings from this study, it is suggested that insightful measures to enhance imbalance of employment quality should be considered
ๆฑบๆ(Cassia tora), ์ฅ(Artemisia asiatica), ๆจๆํ๋ฅด ๆฝๅบ็ฉ์ ์ํ ๋ฐญๅๅฃคไธญ ๏ฆฝ็ด ๅ่งฃ์ ็ช้ ธๅไฝ็จ ๆๅถๆๆ
Thesis (master`s)--์์ธ๋ํ๊ต ๋ํ์ :๋ํํ๊ณผ,1997.Maste
์ฌํ๊ณ์ธต๊ฐ ์๋ ์ ํ์ ์ฑ์ทจ๋ ๊ฒฉ์ฐจ์ ์์ก๋ฌธํ
ํ์๋
ผ๋ฌธ(์์ฌ) --์์ธ๋ํ๊ต ๋ํ์ :์ธ๋ฅํ๊ณผ ์ธ๋ฅํ์ ๊ณต, 2004.Maste
Why do the children from affluent families show better academic performance?: -The academic performance gap between social classes and parenting practices-
ํ์๋
ผ๋ฌธ(๋ฐ์ฌ) --์์ธ๋ํ๊ต ๋ํ์ :์ฌํ๋ณต์งํ๊ณผ,2010.2.Docto
Generalized Ligamentous Laxity Is an Independent Predictor of Poor Outcomes After the Modified Brostr?m Procedure for Chronic Lateral Ankle Instability
BACKGROUND: The modified Brostr?m procedure for chronic lateral ankle instability (CLAI) has presented outstanding clinical results. However, after the procedure, some patients with generalized ligamentous laxity have experienced a recurrence of ankle instability.
PURPOSE: To understand the effect of generalized ligamentous laxity on prognosis and risk of recurrence in a cohort of patients with CLAI after the modified Brostr?m procedure.
STUDY DESIGN: Cohort study; Level of evidence, 3.
METHODS: A total of 199 ankles from 188 patients underwent the modified Brostr?m procedure for CLAI with a mean follow-up of 60.1 months (range, 48-108 months). Generalized ligamentous laxity was assessed in all patients. The Karlsson-Peterson ankle score (Karlsson score), talar tilt angle, and anterior displacement of the talus were used to evaluate clinical and radiological outcomes. Risk factors associated with clinical outcomes were evaluated using bivariate analysis and logistic regression analysis. Survival outcomes were compared using Kaplan-Meier analysis.
RESULTS: Generalized ligamentous laxity was evident in 42 cases (21.1%). The average Karlsson score improved from 54.6 ยฑ 7.1 preoperatively to 87.9 ยฑ 7.2 at last follow-up (P 15ยฐ), and high preoperative anterior displacement of the talus (>10 mm) were significantly associated with clinical failure. Multivariate logistic regression analysis revealed that generalized ligamentous laxity was the most important independent predictor of clinical failure after the modified Brostr?m procedure. The cumulative success rates for the nonlaxity group were significantly superior to those for the laxity group in Kaplan-Meier curves (P < .001).
CONCLUSION: Generalized ligamentous laxity is an independent predictor of poor outcomes and a risk factor of recurrent instability following the modified Brostr?m procedure for CLAI.restrictio