• Journal of Korean Port Research
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• v.2 no.1
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• pp.75-106
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• 1988

As port transport system consists of subsystems such as navigation system, cargo handling system, storage system, inland transport system, and Management and Information system, the productivity of this system is determined by the minimum level of subsystem. From the viewpoint of elaborating the efficiency of integrated system, it is valuable to determine the optimal level of harbour tug boat which is the most important factor of navigation system. This paper treats the optimal amount of harbour tug boat by simulation, and applied to Pusan port. In the course of simulation, an emperical formula is introduced for determining the Horse Power (HP) of tug boat by the ship's gross tonnage (G/T) refering to the cases of various ports of other countries, that is ; $Y=9.96X^{0.6}+569$. X : The gross tonnage of vessel (G/T). Y : The Horse Power (HP) of tug boat. The results of the simulation are summarized as follows ; 1) In 1987, three or four low-powered harbour tug boats, five mid-powered harbour tug boats and four high-powered harbour tug boats are necessary in the mean level. But, five or seven low-powered harbour tug boats, ten mid-powered harbour tug boats and eight high-powered harbour tug boats are necessary lest delay should occur at all. 2) In 1992, 1lee or four low-powered harbour tug boats, six mid-powered harbour tug boats and seven high-powered harbour tug boats are estimated and be necessary in the mean level.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.4
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• pp.2311-2315
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• 2013

Objective: To investigate the expression level of TUG1 and one of its transcript variants (n377360) in osteosarcoma cells and assess the role of TUG1 in proliferation and apoptosis in the U2OS cell line. Methods: TUG1 and n377360 expression levels in patients with osteosarcomas and the U2OS human osteosarcoma cell line were evaluated using real-time quantitative PCR. U2OS cells were transected with TUG1 and n377360 siRNA or non-targeting siRNA. MTS was performed to assess the cell proliferation and flow cytometry was applied to analyze apoptosis. Results: We found significantly higher TUG1 and n377360 expression levels in osteosarcoma tissues compared with matched non-tumorous tissues. In line with this, suppression of TUG1 and n377360 expression by siRNA significantly impaired the cell proliferation potential of osteosarcoma cells. Furthermore, inhibition of TUG1 expression significantly promoted osteosarcoma cell apoptosis. Conclusions: The overexpression of TUG1 and n377360 in osteosarcoma specimens and the functional role of TUG1 and n377360 regarding cell proliferation and apoptosis in an osteosarcoma cell line provided evidence that the use of TUG1 or n377360 may be a viable but an as yet unexplored therapeutic strategy in tumors that over express these factors.

• Restorative Dentistry and Endodontics
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• v.42 no.4
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• pp.273-281
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• 2017

Objectives: The aims of this study were to quantify tug-back by measuring the pulling force and investigate the correlation of clinical tug-back pulling force with in vitro gutta-percha (GP) cone adaptation score using micro-computed tomography (${\mu}CT$). Materials and Methods: Twenty-eight roots from human single-rooted teeth were divided into 2 groups. In the ProTaper Next (PTN) group, root canals were prepared with PTN, and in the ProFile (PF) group, root canals were prepared using PF (n = 14). The degree of tug-back was scored after selecting taper-matched GP cones. A novel method using a spring balance was designed to quantify the tug-back by measuring the pulling force. The correlation between tug-back scores, pulling force, and percentage of the gutta-percha occupied area (pGPOA) within apical 3 mm was investigated using ${\mu}CT$. The data were analyzed using Pearson's correlation analysis, one-way analysis of variance (ANOVA) and Tukey's test. Results: Specimens with a strong tug-back had a mean pulling force of 1.24 N (range, 0.15-1.70 N). This study showed a positive correlation between tug-back score, pulling force, and pGPOA. However, there was no significant difference in these factors between the PTN and PF groups. Regardless of the groups, pGPOA and pulling force were significantly higher in the specimens with a higher tug-back score (p < 0.05). Conclusions: The degree of subjective tug-back was a definitive determinant for master cone adaptation in the root canal. The use of the tug-back scoring system and pulling force allows the interpretation of subjective tug-back in a more objective and quantitative manner.

• Journal of Navigation and Port Research
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• v.36 no.1
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• pp.15-20
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• 2012

In order to investigate the maneuverability of tug-barge, sea trial tests such as speed, acceleration/deceleration, $10^{\circ}$ turning, $20^{\circ}$ turning, $10^{\circ}/10^{\circ}$ zigzag and $20^{\circ}/20^{\circ}$ zigzag were conducted with both tug and tug-barge. From the result of turning test, longer tactical diameter and lower rate of turn of tug-barge than those of tug are obtained. From the result of the zigzag test, bigger overshoot angle of tug-barge than that of tug is obtained. When they turned or changed a course, it showed that the barge turned inner side of the trajectory of tug. For the safe navigation, the helmsman of tug-barge should be aware of these maneuvering characteristics.

• Journal of the Korean Society of Marine Environment & Safety
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• v.15 no.1
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• pp.57-62
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• 2009

In order to investigate the hydrodynamic interaction between the tug-barge and bank or ship which is crossing to the opposite direction, the towing simulations of tug-barge transportation were performed. Heading of barge, yaw moment and lateral force of tug boat were obtained by this simulation. The characteristics of results were analyzed and the safety towing method for tug-barge operation was proposed. In order to reduce the slewing motion of barge for safe towing operation, the speed of tug boat should be kept slow ahead state with shortened towing line as length of barge within the limits of the possible.

• Physical Therapy Korea
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• v.11 no.1
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• pp.1-17
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• 2004

The purposes of this study were to find correlations among Fugl-Meyer Assessment scale, gait speed, and Timed Up & Go test (TUG) and to predict gait ability from subscales of Fugl-Meyer Assessment scale. The study population consisted of 30 stroke patients referred to the Department of Rehabilitation Medicine in the Bundang Jaesang General Hospital. All subjects were ambulatory with or without an assistive device. All participants were assessed on Fugl-Meyer Assessment scale and gait speed (m/s), TUG (s). The data were analyzed using independent t-test, Pearson product moment correlation analysis and stepwise multiple regression. The results revealed that all items of Fugl-Meyer Assessment scale, except passive joint range of motion were significantly correlated with gait speed and TUG. In particular, sensation score, lower extremity motor and coordination score have a significant correlation with gait speed and TUG (p<.05). The sensation score and lower extremity motor score were important factors in comfortable gait and maximal gait speed. Their power of explanation regarding comfortable gait and maximal gait speed were 63.0% and 65.0%, respectively. The sensation score and lower extremity coordination score were important factors in TUG. Their power of explanation regarding TUG was 55.0%. These results showed that Fugl-Meyer Assessment scale is significantly correlated with gait speed and TUG. Therefore Fugl-Meyer Assessment scale is an appropriate assessment tool to predict gait ability of patients with stroke. Further study about gait speed and TUG by change of Fugl-Meyer Assessment score is needed using a longitudinal study design.

• The Journal of Korean Physical Therapy
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• v.21 no.1
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• pp.41-48
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• 2009

Purpose: The examine the Reliability and Validity of the modified Emory Functional Ambulation Profile (mEFAP), Tinetti. Gait (TG), Timed Up & Go Tes t (TUG), Comfortable Gait Speed (CGS), Berg Balance Scale (BBS) in assessing gait function and balance in elderly person. Methods: The 45 community-dwelling subjects were participated in this study. Reliability was determined by intra-class correlation coefficient (ICC$_{3,1}$), Bland and Altman method (Standard Error of Measurement (SEM), Smallest Real Difference (SRD)). Results: Validity was examined by correlation the mEFAP, TG, TUG, CGS, BBS. The intra-rater reliability were High (ICC$_{3,1}$ : mEFAP=0.95, TG=0.96, TUG=0.94, CGS=0.96, BBS=0.92) and Absolute reliability were excellent (SEM: mEFAP=1.90, TG=0.21, TUG=0.28 CGS=0.25, BBS=0.52), (SRD: mEFAP=5.26, TG=0.58, TUG=0.77, CGS=0.69, BBS=1.44). There were significant correlations between assessment tool (r=.0.58$\sim$0.78, p<0.01) indicating good validity. Our results provide strong evidence that the assessment tool has good reliability, validity for assessing elderly person undergoing rehabilitation. Conclusion: The gait assessment tool is a useful scale for measuring walking function and recovery in elderly person.

• The Journal of Korean Physical Therapy
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• v.20 no.4
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• pp.1-6
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• 2008

Purpose: We studied the correlation between BBS (Berg Balance Scale), Functional Reach Test (FRT), Timed-Up & Go test (TUG), Stability Index (STI), MBI (Modified Barthel Index), and Fall History. Methods: We recruited 20 stroke patients from the Gang Dong Gu Health Care Center in Seoul, Korea. All subjects could walk with or without an assisting device. Subjects first completed a questionnaire pertaining to their fall history and Activity of Daily Living (MBI), and then were evaluated with BBS, TUG, FRT, and STI. We used the Tetrax posturography system that calculates a STI based on fluctuations in vertical ground reaction forces. The data were analyzed using a Pearson Correlation Coefficient. Results: The BBS and FRT (p<0.05) and MBI (p<0.01) showed a significant positive correlation. BBS negatively correlated with STI and TUG (p<0.01). Fall history and BBS, TUG, MBI, FR, STI did not correlate. Conclusion: The BBS helps predict weight shifting, walking, and ADL, but is not good for predicting fall risk. So, we need to study about factors that affect falling.

• Journal of Korean Physical Therapy Science
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• v.15 no.3
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• pp.1-8
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• 2008

The purpose of this study was to compare the relationship among the Dynamic Gait Index(DGI), Berg Balance Scale(BBS) scores, Timed Up & Go Test(TUG), and subject characteristics. The subjects were fifteen stroke with hemiplegia were chosen in the Konyang University Hospital. Dynamic balance was measured Dynamic Gait Index(DGI), and balance was measured using Berg Balance Scale(BBS). Timed Up & Go Test(TUG) was used to evaluate functional mobility. Data were analyzed using Spearman correlation. There was significant correlated among Dynamic Gait Index(DGI), Berg Balance Scale(BBS) and Timed Up & Go Test(TUG)(p<.01). The correlation among subject characteristics and Dynamic Gait Index(DGI), Berg Balance Scale(BBS), Timed Up & Go Test(TUG) score was significant result in r = -.527 from Dynamic Gait Index(DGI) and pathogenesis(p<.05). There were no significant statistical differences among the types of spasticity and Dynamic Gait Index(DGI), Berg Balance Scale(BBS), Timed Up & Go Test(TUG). The comparison among the sex, type of hemiplegia, pain, pathogenesis and Dynamic Gait Index(DGI), Berg Balance Scale(BBS), Timed Up & Go Test(TUG) score was significant result in pathogenesis(p<.05). The results of this study showed that there was high correlations among the Dynamic Gait Index(DGI) and balance test of people with stroke.

• Journal of the Korean Academy of Clinical Electrophysiology
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• v.2 no.1
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• pp.83-92
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• 2004

This study aims to the influenced factor analysis of spinal cord independence measure(SCIM), on walking velocity, walking endurance, time up & go(TUG), and subject characteristics. The subject of this study were 12 persons with incomplete spinal cord injury(ASIA C, D). All subject ambulatory with or without an assistive device. All participants were assessed on SCIM(score), walking velocity(m/s), walking endurance(m) and TUG(s). The data were analyzed using independent t-test and stepwise multiple regression. The results revealed that no statistical difference was noted in subject characteristics among SCIM, walking velocity, walking endurance, TUG(p>0.5). The independence score, breathing-sphincter control and ambulation were important factors in TUG(31.4%). The results suggest that SCIM may be an inappropriate assessment tool to predict gait ability of patient with incomplete spinal cord injury. Further study about gait speed, gait endurance and TUG by change of SCIM is needed using to patient of incomplete spinal cord injury.