• Title/Summary/Keyword: Abnormal Pattern Analysis

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Characteristics of Pelvic Ranges According to Artificial Leg Length Discrepancy During Gait: Three-Dimensional Analysis in Healthy Individuals (보행 중 인위적 다리길이 차이에 따른 3차원적 골반 가동범위의 특성)

  • Kim, Yongwook
    • Journal of The Korean Society of Integrative Medicine
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    • v.7 no.2
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    • pp.59-67
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    • 2019
  • Purpose : The purpose of this study was to analyze the dynamic range of motion (ROM) of pelvic and translation of center of mass (COM) when wearing different shoe insole lifts according to leg length discrepancy (LLD) during free speed gait. Methods : Thirty-five healthy adults were participated in this study. Kinematic data were collected using a Vicon motion capture system. Reflective and cluster 40 markers attached to participants lower extremities and were asked to walk in a 6 m gait way under three different shoe lift conditions (without any insole, 1 cm insole, and 2 cm insole). The pelvic ROM and COM translation in three planes were sorted using a Nexus software, and a Visual3D motion analysis software was used to coordinate all kinematic data. Results : There were significantly increased maximal pelvic elevation and total pelvic range in coronal plane when wearing a standard shoe with 2 cm insole lift during gait (p<.05). When wearing a standard shoe with 2 cm insole lift, the total range of the pelvic segment were significantly different in all three motion planes (p<.05). Conclusion : Although LLD of less than 2 cm develops abnormal movement pattern of the pelvis and may cause of musculoskeletal diseases such as low back pain, hip and knee joint osteoarthritis, therefore intensive various physical therapy interventions for LLD are needed.

Contemporary Characteristics of Fashion-textile Design Applying Paisley Ornament (페이즐리 오너먼트를 활용한 패션텍스타일 디자인의 현대적 특징 연구)

  • Chung, Ha Jeong;Park, Juhee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.44 no.5
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    • pp.950-968
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    • 2020
  • This study derives the modern characteristics of the paisley ornament through an analysis of the paisley ornament shown in fashion since the 2010s based on a theoretical review of the paisley ornament used in Kashmir India shawls for artistic inspiration in the fashion-textile field. It classified the paisley ornament in fashion since the 2010s into types of 'basic structure of body and coif', 'abnormal paisley ornament shapes', 'complex structure of paisley ornament', 'complex structure with other motif', 'a pair of symmetrical reflection motif', 'regular of repetitive arrangement', 'complex arrangement of irregularity and regularity' and 'free arrangement of irregularity'. A comparative analysis with the historical paisley ornament shows that paisley ornaments have contemporary characteristics like 'Bisector structure of centerline in criterion of the body', 'Composite structure of extended 1-repeat', and 'Free structure of engineered placement'. A modern design was inspired by the historical art forms; however, it was used in free utilization of motifs and patterns in terms of size, direction, proportion and space. These were the expression of a design identity that originated from the aesthetic ability and career of a designer as well as the technology of computer programs for the improvements in time and cost efficiency.

A Study on Detection of Abnormal Patterns Based on AI·IoT to Support Environmental Management of Architectural Spaces (건축공간 환경관리 지원을 위한 AI·IoT 기반 이상패턴 검출에 관한 연구)

  • Kang, Tae-Wook
    • Journal of KIBIM
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    • v.13 no.3
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    • pp.12-20
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    • 2023
  • Deep learning-based anomaly detection technology is used in various fields such as computer vision, speech recognition, and natural language processing. In particular, this technology is applied in various fields such as monitoring manufacturing equipment abnormalities, detecting financial fraud, detecting network hacking, and detecting anomalies in medical images. However, in the field of construction and architecture, research on deep learning-based data anomaly detection technology is difficult due to the lack of digitization of domain knowledge due to late digital conversion, lack of learning data, and difficulties in collecting and processing field data in real time. This study acquires necessary data through IoT (Internet of Things) from the viewpoint of monitoring for environmental management of architectural spaces, converts them into a database, learns deep learning, and then supports anomaly patterns using AI (Artificial Infelligence) deep learning-based anomaly detection. We propose an implementation process. The results of this study suggest an effective environmental anomaly pattern detection solution architecture for environmental management of architectural spaces, proving its feasibility. The proposed method enables quick response through real-time data processing and analysis collected from IoT. In order to confirm the effectiveness of the proposed method, performance analysis is performed through prototype implementation to derive the results.

Analysis of Flood Level Mitigation due to the Naju Retention-Basin by Numerical Model Application (수치모형 적용을 통한 나주 강변저류지 홍수위 저감효과 분석)

  • Rhee, Dong Sop;Kim, Hyung-Jun;Cho, Gilje
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.9
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    • pp.5801-5812
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    • 2014
  • The retention basin is a hydraulic structure for flood mitigation by storing river flow over a design flood. In this study, numerical models were adopted to simulate the flood mitigation effects by a retention basin. The large flood condition was applied as a boundary condition to consider an abnormal flood caused by climate change. Furthermore, the two-dimensional numerical model was adopted to regenerate the complex flow pattern due to the topography and lateral flow near the retention basin. The numerical results of the one- and two-dimensional model were analyzed and compared. The results showed that the two-dimensional model is more applicable to assessing flood mitigation by the retention basin with a complex topography and lateral flow patterns.

Analysis of the Postaxial Polydactyly of the Foot (족부 축후성 다지증의 분석)

  • Lee, Ho-Seung;Yoon, Jun-O;Won, Choong-Hee;Kim, Yong-Min;Choi, Eu-Sung;Kim, Jong-Pil
    • Journal of Korean Foot and Ankle Society
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    • v.6 no.1
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    • pp.7-14
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    • 2002
  • Purpose: We investigate the characteristic morphologic features and suggest proper treatment of postaxial polydactyly of the foot Materials and Methods: We analysed 37 cases of postaxial polydactyly. Mean post operative follow up period was 2 years 10 months. We analysed them according to morphological, radiological and operative findings. Patients were classified into extra 5th toe polydactyly and extra 6th toe polydactyly based on the abnormal extradigit, and subdivided into joint origin type, bone origin type and floating type based on duplication pattern. Results: 23 cases were extra 5th toe polydactyly and 14 cases were extra 6th toe polydactyly. Most common types were metatarsophalangeal joint origin type of extra 6th toe polydactyly. Compared with extra 5th toe polydactyly, extra 6th toe polydactyly originated from more proximal part and had not syndactylism. Conclusion: As the duplication level was more distal, degree of syndactylism and nail union was more severe. In case of syndactyly between 5th and 6th toe, abnormal extradigit was 5th toe.

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RUNX1 Upregulation Causes Mitochondrial Dysfunction via Regulating the PI3K-Akt Pathway in iPSC from Patients with Down Syndrome

  • Yanna Liu;Yuehua Zhang;Zhaorui Ren;Fanyi Zeng;Jingbin Yan
    • Molecules and Cells
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    • v.46 no.4
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    • pp.219-230
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    • 2023
  • Down syndrome (DS) is the most common autosomal aneuploidy caused by trisomy of chromosome 21. Previous studies demonstrated that DS affected mitochondrial functions, which may be associated with the abnormal development of the nervous system in patients with DS. Runt-related transcription factor 1 (RUNX1) is an encoding gene located on chromosome 21. It has been reported that RUNX1 may affect cell apoptosis via the mitochondrial pathway. The present study investigated whether RUNX1 plays a critical role in mitochondrial dysfunction in DS and explored the mechanism by which RUNX1 affects mitochondrial functions. Expression of RUNX1 was detected in induced pluripotent stem cells of patients with DS (DS-iPSCs) and normal iPSCs (N-iPSCs), and the mitochondrial functions were investigated in the current study. Subsequently, RUNX1 was overexpressed in N-iPSCs and inhibited in DS-iPSCs. The mitochondrial functions were investigated thoroughly, including reactive oxygen species levels, mitochondrial membrane potential, ATP content, and lysosomal activity. Finally, RNA-sequencing was used to explore the global expression pattern. It was observed that the expression levels of RUNX1 in DS-iPSCs were significantly higher than those in normal controls. Impaired mitochondrial functions were observed in DS-iPSCs. Of note, overexpression of RUNX1 in N-iPSCs resulted in mitochondrial dysfunction, while inhibition of RUNX1 expression could improve the mitochondrial function in DS-iPSCs. Global gene expression analysis indicated that overexpression of RUNX1 may promote the induction of apoptosis in DS-iPSCs by activating the PI3K/Akt signaling pathway. The present findings indicate that abnormal expression of RUNX1 may play a critical role in mitochondrial dysfunction in DS-iPSCs.

Toward understanding learning patterns in an open online learning platform using process mining (프로세스 마이닝을 활용한 온라인 교육 오픈 플랫폼 내 학습 패턴 분석 방법 개발)

  • Taeyoung Kim;Hyomin Kim;Minsu Cho
    • Journal of Intelligence and Information Systems
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    • v.29 no.2
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    • pp.285-301
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    • 2023
  • Due to the increasing demand and importance of non-face-to-face education, open online learning platforms are getting interests both domestically and internationally. These platforms exhibit different characteristics from online courses by universities and other educational institutions. In particular, students engaged in these platforms can receive more learner autonomy, and the development of tools to assist learning is required. From the past, researchers have attempted to utilize process mining to understand realistic study behaviors and derive learning patterns. However, it has a deficiency to employ it to the open online learning platforms. Moreover, existing research has primarily focused on the process model perspective, including process model discovery, but lacks a method for the process pattern and instance perspectives. In this study, we propose a method to identify learning patterns within an open online learning platform using process mining techniques. To achieve this, we suggest three different viewpoints, e.g., model-level, variant-level, and instance-level, to comprehend the learning patterns, and various techniques are employed, such as process discovery, conformance checking, autoencoder-based clustering, and predictive approaches. To validate this method, we collected a learning log of machine learning-related courses on a domestic open education platform. The results unveiled a spaghetti-like process model that can be differentiated into a standard learning pattern and three abnormal patterns. Furthermore, as a result of deriving a pattern classification model, our model achieved a high accuracy of 0.86 when predicting the pattern of instances based on the initial 30% of the entire flow. This study contributes to systematically analyze learners' patterns using process mining.

Musculoskeletal Models to Predict Patient-specific Gait Patterns Using Function-based Morphing Technique (기능기반 형상변형기술을 응용한 환자맞춤형 근골격 모델의 보행패턴 예측에 관한 연구)

  • Park, Byoung-Keon;Koo, Bon-Yeol;Park, Eun-Joo;Chae, Jae-Wook;Lee, Soon-Hyuk;Kim, Jae-Jung
    • Korean Journal of Computational Design and Engineering
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    • v.17 no.6
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    • pp.443-455
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    • 2012
  • The configuration of a musculoskeletal (MS) system is closely related to the individual motions of the human body. Many researches have been focused on evaluating the associations between the MS configuration and the individual motion using patient-specific MS models, but it still remains a challenging issue to accurately predict the motion by differed configurations of the MS system. The main objective of this paper is to predict the changes of a patient-specific gait by altering the geometric parameters of the hip joint using function-based morphing method (FBM). FBM is suitable for motion analysis since this method provide a robust way to morph a MS model while preserving the biomechanical functions of the bones. Computed-muscle control technique is used to calculate the muscle excitations to reproduce the targeted motion within a digital MS model without the motion-captured data. We applied this approach to a patient who has an abnormal gait pattern. Results showed that the femoral neck length and the angle significantly affect to the motion especially for the hip abduction angle during gait, and that this approach is suitable for gait prediction.

Analysis of TIMP-2 and Vimentin Protein Expression and Epigenetic Reprogramming in Cloned Bovine Placentae

  • Kim, Hong-Rye;Han, Rong-Xun;Lee, Hye-Ran;Yoon, Jong-Taek;Cheong, Hee-Tae;Park, Chang-Sik;Jin, Dong-Il
    • Reproductive and Developmental Biology
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    • v.31 no.2
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    • pp.97-102
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    • 2007
  • The objective of this study was to analyzed pattern of proteins expression abnormally in cloned bovine placenta. TIMP-2 protein whose function is related to extracellular matrix degradation and tissue remodeling processes was one of differentially up-regulated proteins in SCNT placenta. And one of down-regulated protein in SCNT placenta was identified as vimentin protein that is presumed to stabilize the architecture of the cytoplasm. The expression patterns of these proteins were validated by Western blotting. To evaluate how regulatory loci. of TIMP-2 and vimentin genes was programmed reprogramming in cloned placenta. the status of DNA methylation in the promoter region of TIMP-2 and vimentin genes was analyzed by sodium Bisulfite mapping. The DNA methylation results showed that there was not difference in methylation pattern of TIMP-2 and vimentin loci between cloned and normal placenta. Histone H3 acetylation state of the nucleosome was analyzed in the cloned placental and normal placenta by Western blotting. A small portion of the protein lysates were subjected to Western blotting with the antibodies against anti acetyl-Histone H3. Overall histone H3 acetylation state of SCNT placenta was significantly higher than those of normal placenta cells. It is postulated that cloned placenta at the end of gestation seems to be unusual in function and morphology of placenta via improper expression of TIMP-2 and vimentin by abnormal acetylation states of cloned genome.

Methylation Status of H19 Gene in Embryos Produced by Nuclear Transfer of Spermatogonial Stem Cells in Pig

  • Lee, Hyun-Seung;Lee, Sung-Ho;Gupta, Mukesh Kumar;Uhm, Sang-Jun;Lee, Hoon-Taek
    • Reproductive and Developmental Biology
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    • v.35 no.1
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    • pp.67-75
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    • 2011
  • The faulty regulation of imprinting gene lead to the abnormal development of reconstructed embryo after nuclear transfer. However, the correlation between the imprinting status of donor cell and preimplantation stage of embryo development is not yet clear. In this study, to determine this correlation, we used the porcine spermatogonial stem cell (pSSC) and fetal fibroblast (pFF) as donor cells. As the results, the isolated cells with laminin matrix selection strongly expressed the GFR ${\alpha}$-1 and PLZF genes of SSCs specific markers. The pSSCs were maintained to 12 passages and positive for the pluripotent marker including OCT4, SSEA1 and NANOG. The methylation analysis of H19 DMR of pSSCs revealed that the zinc finger protein binding sites CTCF3 of H19 DMRs displayed an androgenic imprinting pattern (92.7%). Also, to investigate the reprogramming potential of pSSCs as donor cell, we compared the development rate and methylation status of H19 gene between the reconstructed embryos from pFF and pSSC. This result showed no significant differences of the development rate between the pFFs ($11.2{\pm}0.8%$) and SSCs ($13.3{\pm}1.1%$). However, interestingly, while the CTCF3 methylation status of pFF-NT blastocyst was decreased (36.3%), and the CTCF3 methylation status of pSSC-NT blastocyst was maintained. Therefore, this result suggested that the genomic imprinting status of pSSCs is more effective than that of normal somatic cells for the normal development because the maintenance of imprinting pattern is very important in early embryo stage.