• Title/Summary/Keyword: knock-knee

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The Effects of the Manual Intervention and Self Corrective Exercise Models of General Coordinative Manipulation on the Distorsional Leg (전신조정술의 맨손 중재와 자가교정운동 모형이 휜 다리의 교정에 미치는 영향)

  • Kim, Yunseo;Moon, Sangeun
    • Journal of The Korean Society of Integrative Medicine
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    • v.3 no.1
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    • pp.29-39
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    • 2015
  • Purpose: The purpose of this study was to analyze the effect of the manual intervention and self corrective exercise models of GCM(General Coordinative Manipulation) on the groups bow-knee and knock-knee. Methods: GCM Center of 23 members were divided into the two different groups. 12 members of group bow-knee and 11 members of group knock-knee applied to each manual intervention and self corrective exercise models of GCM. Two different groups were applied to 1 cycle a day for 4 weeks, 3 times a week. Results: The effect of manual intervention and self corrective exercise models of GCM on the groups bow-knee and knock-knee was significant(z<.05). The relationship between groups bow-knee and knock-knee was no significant(z>.05). Conclusion: the manual intervention and self corrective exercise models of GCM was contributed in the Correct recovery of bow-knee and knock-knee(z<.05).

Effects of the General Coordinative Manipulation Joint Intervention Model in Correcting Distort Leg with Imbalance of the Lower Extremity Joint, Pelvic and Shoulder Girdles, and Lumbar Spine (다리관절, 다리-팔 이음뼈, 허리뼈의 불균형을 가진 휜다리에 대한 전신조정술 관절중재모형의 교정효과)

  • Moon, Sangeun
    • Journal of The Korean Society of Integrative Medicine
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    • v.8 no.3
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    • pp.1-10
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    • 2020
  • Purpose : The purpose of this study is to analyze the corrective effect of the general coordinative manipulation (GCM) joint intervention model on distort leg with imbalance of the lower extremity joints, pelvic and shoulder girdles, and lumbar spine. Methods : The study used a comparative analysis of the size of the distort leg and the imbalance of the lower extremity joints, pelvic and shoulder girdles, and lumbar spine before and after the application of the GCM joint intervention model. A total of 31 subjects from movement center G and the department of physical therapy at university M were selected as research subjects, and they were divided into two groups. The GCM joint intervention model was applied to 18 subjects in the bow knee group and 13 subjects in the knock knee group. The two groups received daily intervention three times a week for four weeks. The corrective effect of the GCM joint intervention model for each type of distort leg was compared and analyzed. Results : The effects of the GCM joint intervention model in correcting bow knee and knock knee with knee deformation and imbalance of the lower extremity joints, pelvic and shoulder girdles, and lumbar spine were significant in most domains (p<.05). The correlation between the bow knee and knock knee groups showed significance in most domains (p<.05). Conclusion : The GCM joint intervention model showed significant corrective effect in the bow knee and knock knee groups in terms of knee deformation, lower extremity joints, pelvic and shoulder girdles, and lumbar spine (p<.05).

Column Generation Approach to the Steiner Tree Packing Problem (열 생성 기법을 이용한 스타이너 나무 분할 문제에 관한 연구)

  • 정규웅;이경식;박성수;박경철
    • Journal of the Korean Operations Research and Management Science Society
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    • v.25 no.3
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    • pp.17-33
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    • 2000
  • We consider the Steiner tree packing problem. For a given undirected graph G =(V, E) with positive integer capacities and non-negative weights on its edges, and a list of node sets(nets), the problem is to find a connection of nets which satisfies the edge capacity limits and minimizes the total weights. We focus on the switchbox routing problem in knock-knee model and formulate this problem as an integer programming using Steiner tree variables. The model contains exponential number of variables, but the problem can be solved using a polynomial time column generation procedure. We test the algorithm on some standard test instances and compare the performances with the results using cutting plane approach. Computational results show that our algorithm is competitive to the cutting plane algorithm presented by Grotschel et al. and can be used to solve practically sized problems.

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