• Title/Summary/Keyword: Review Features

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Joint Problems in Patients with Mucopolysaccharidosis Type II

  • Kim, Min-Sun;Kim, Jiyeon;Noh, Eu Seon;Kim, Chiwoo;Cho, Sung Yoon;Jin, Dong-Kyu
    • Journal of mucopolysaccharidosis and rare diseases
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    • v.5 no.1
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    • pp.17-21
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    • 2021
  • Hunter syndrome or mucopolysaccharidosis type II (MPS-II) (OMIM 309900) is a rare lysosomal storage disorder caused by deficiency in the activity of the enzyme iduronate-2-sulfatase. This enzyme is responsible for the catabolism of the following two different glycosaminoglycans (GAGs): dermatan sulfate and heparan sulfate. The lysosomal accumulation of these GAG molecules results in cell, tissue, and organ dysfunction. Patients can be broadly classified as having one of the following two forms of MPS II: a severe form and an attenuated form. In the severe form of the disease, signs and symptoms (including neurological impairment) develop in early childhood, whereas in the attenuated form, signs and symptoms develop in adolescence or early adulthood, and patients do not experience significant cognitive impairment. The involvement of the skeletal-muscle system is because of essential accumulated GAGs in joints and connective tissue. MPS II has many clinical features and includes two recognized clinical entities (mild and severe) that represent two ends of a wide spectrum of clinical severities. However, enzyme replacement therapy is likely to have only a limited impact on bone and joint disease based on the results of MPS II studies. The aim of this study was to review the involvement of joints in MPS II.

Item-Based Collaborative Filtering Recommendation Technique Using Product Review Sentiment Analysis (상품 리뷰 감성분석을 이용한 아이템 기반 협업 필터링 추천 기법)

  • Yun, So-Young;Yoon, Sung-Dae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.8
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    • pp.970-977
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    • 2020
  • The collaborative filtering recommendation technique has been the most widely used since the beginning of e-commerce companies introducing the recommendation system. As the online purchase of products or contents became an ordinary thing, however, recommendation simply applying purchasers' ratings led to the problem of low accuracy in recommendation. To improve the accuracy of recommendation, in this paper suggests the method of collaborative filtering that analyses product reviews and uses them as a weighted value. The proposed method refines product reviews with text mining to extract features and conducts sentiment analysis to draw a sentiment score. In order to recommend better items to user, sentiment weight is used to calculate the predicted values. The experiment results show that higher accuracy can be gained in the proposed method than the traditional collaborative filtering.

Quality Prediction Model for Manufacturing Process of Free-Machining 303-series Stainless Steel Small Rolling Wire Rods (쾌삭 303계 스테인리스강 소형 압연 선재 제조 공정의 생산품질 예측 모형)

  • Seo, Seokjun;Kim, Heungseob
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.4
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    • pp.12-22
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    • 2021
  • This article suggests the machine learning model, i.e., classifier, for predicting the production quality of free-machining 303-series stainless steel(STS303) small rolling wire rods according to the operating condition of the manufacturing process. For the development of the classifier, manufacturing data for 37 operating variables were collected from the manufacturing execution system(MES) of Company S, and the 12 types of derived variables were generated based on literature review and interviews with field experts. This research was performed with data preprocessing, exploratory data analysis, feature selection, machine learning modeling, and the evaluation of alternative models. In the preprocessing stage, missing values and outliers are removed, and oversampling using SMOTE(Synthetic oversampling technique) to resolve data imbalance. Features are selected by variable importance of LASSO(Least absolute shrinkage and selection operator) regression, extreme gradient boosting(XGBoost), and random forest models. Finally, logistic regression, support vector machine(SVM), random forest, and XGBoost are developed as a classifier to predict the adequate or defective products with new operating conditions. The optimal hyper-parameters for each model are investigated by the grid search and random search methods based on k-fold cross-validation. As a result of the experiment, XGBoost showed relatively high predictive performance compared to other models with an accuracy of 0.9929, specificity of 0.9372, F1-score of 0.9963, and logarithmic loss of 0.0209. The classifier developed in this study is expected to improve productivity by enabling effective management of the manufacturing process for the STS303 small rolling wire rods.

Use of Aconitum Herbal Medicine for Pain Control in Musculoskeletal Disease (근골격계 질환에서 통증 조절을 위한 부자류 약물의 활용)

  • Park, Hye-Jin;Kim, Hyun-Tae;Lee, Sang-Hyun;Heo, In;Hwang, Man-Suk
    • The Journal of Churna Manual Medicine for Spine and Nerves
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    • v.16 no.2
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    • pp.47-54
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    • 2021
  • Objectives This review was conducted to study use of Aconitum herbal medicine for pain control in musculoskeletal disease. Methods Musculoskeletal disease is a major factor of social cost increase and physical disability. Various drugs, surgery and imaging are being overused regardlessly. Aconitum herbal plants are one of the most toxic Korean traditional herbs. However, they could be utilized effectively on patients with appropriate processing and decocting time. We searched Korean medicine literature to see various features of aconitum herbal plants and tried to find the utilization of the plants in effective way for pain control in musculoskeletal disease. Results Aconitum herbal plants needs to be used carefully because of intoxication which could lead to severe damage to human body. Processing of these toxic plants could minimize the harm and raise the benefits, such as relieving various types of pain and positive inotropic action. Further studies with clearer evidence and discovering aftereffects of processing in more details are needed. Conclusions Aconitum herbal plants could dedicate to controlling pain in musculoskeletal disease with various forms and appropriate processing.

3D digital fashion design utilizing the characteristics of the mask of Nuo, Jiangxi province, China (중국 장시성 누오(儺) 가면의 특성을 활용한 3D 디지털 패션디자인)

  • Liu, Huan;Lee, Younhee
    • The Research Journal of the Costume Culture
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    • v.30 no.3
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    • pp.455-476
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    • 2022
  • The aim of this study was to develop Jiangxi Nuo masks using 3D digital fashion design technology and suggest various ways to utilize traditional culture based on the characteristics of Nuo masks, a traditional Chinese artifact of intangible cultural significance. The researchers conducted a literature review to gather information about Nuo culture and masks that could represent Jiangxi. Features of the masks were analyzed and classified. The result are as follows. First, the symbolic characteristics of Jiangxi's Nuo masks can be divided into those based on their origin and history, the user's social status, and the notions of primitive beliefs of the chosen people, such as naturism and totemism. Second, Nuo masks' splendid decorations convey meanings such as luck, the bixie, longevity, wealth, and peace in the family. Third, playfulness in mask-making is about dismantling the original form of the mask, re-creating it through application. Fourth, the masks express primitiveness mostly by conserving the wood's original color or material. The initial masks carved to represent images of figures aptly deliver the primitive forms and images of Nuo culture. In this study, Nuo masks were developed and produced using the 3D digital technology CLO 3D by adopting the expressive characteristics and applying design methods such as asymmetricity, exaggeration, and modification. The results of this study demonstrate the possibility of creating diverse as well as economical designs through the reduction of production.

Infection Characteristics of Clonorchis sinensis Metacercariae in Fish from Republic of Korea

  • Sohn, Woon-Mok
    • Parasites, Hosts and Diseases
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    • v.60 no.2
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    • pp.79-96
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    • 2022
  • The infection nature of Clonorchis sinensis metacercariae (CsMc) in freshwater fish hosts is closely related to the transmission of human clonorchiasis. This article reviewed the infection characteristics of CsMc in freshwater fish in the Republic of Korea (Korea). The status of CsMc infection was examined in a total of 17,792 cyprinid fish of 49 species in 9 water systems, which included Hantan-/Imjin-gang, Han-gang, Geum-gang, Mangyeong-gang, Yeongsan-gang, Tamjin-gang, Seomjin-gang, Nakdong-gang, and streams in the east coastal areas from 2010 to 2020. The infection status of CsMc was examined according to cyprinid fish species and water systems, after which analyzed by endemicity and susceptibility index. The high endemicity was shown in the cyprinid fish from 3 regions (6.1%) in the upper reaches of Nakdong-gang, such as Banbyeon-cheon (stream), Yongjeon-cheon, and Wi-cheon. The moderate levels were observed in fishes from 8 regions (16.3%), and low endemicity was shown in fishes from 20 regions (40.8%). No CsMc were detected in fish from 18 regions (36.7%). The susceptibility of CsMc in index fish, Puntungia herzi, was found to be a reliable index without examination of other fish species. CsMc infection rates were closely related to subfamily groups in the cyprinid fish hosts in a highly endemic area. In Korea, a total of 58 fish species in 10 families has been listed as the second intermediate hosts for C. sinensis. This review provides several novel features of CsMc infection and clarifies the species of second intermediate freshwater fish host in Korea.

Characteristics of organic design in Alexander McQueen's collections (알렉산더 맥퀸 컬렉션에 나타난 유기적 디자인 특성)

  • Kim, Dana;Lee, Younhee
    • The Research Journal of the Costume Culture
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    • v.30 no.2
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    • pp.262-280
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    • 2022
  • The purpose of this study is to analyze the organic forms, expressions, and characteristics of Alexander McQueen's fashion design and to present various materials for understanding and utilizing this organic design style. The criteria for organic design expressions and characteristics were classified through a literature review, and the organic design characteristics of Alexander McQueen's fashion were then analyzed. The results are as follows: First, the morphological characteristics of nature's forms are used as objects in Alexander McQueen's fashions to represent organic characteristics. Second, abstraction through the application of organic forms means creating an abstract representation of the object being represented. Abstracting organic forms occurs by partially modifying the structural features of the human body to show characteristics or by visualizing these characteristics within the surface of the natural object. Third, continuity through the expression of the formation process of organisms is characteristic of the expression of the gradual growth of organisms; this reinterpretation is based on the concept that the internal elements of natural objects affect their external forms. Fourth, the structure of using natural materials, as well as regional and cultural characteristics, is shown in the designs through use of the physical characteristics of expressions and materials that use natural elements. Fifth, symbolism through subjective thinking implies that the element of nature that an object expresses is the element that appears in nature; this includes created organisms along with environmental factors. These characteristics are best demonstrated in fashion designs that express themselves through creativity.

A Study on Fire and Disaster prevention for Wooden Architecture Heritage: Focusing on the Wooden Catholic Secondary Station in Dangjin (목조건축유산 화재와 방재에 관한 연구: 당진지역 목조 공소건축을 중심으로)

  • Lee, Sanghee
    • Journal of Internet of Things and Convergence
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    • v.7 no.4
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    • pp.15-21
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    • 2021
  • This study aims to derive the problems of firefighting and safety measures for architectural heritage with a wooden structure in rural areas and present their improvement measures. To identify those problems, this study grasped the features of the cultural heritage through the building structure and environment of a wooden Catholic secondary station in Dangjin, and analyzed fires that may occur and safety factors. As a result, although the mission station is an important cultural property in terms of its history, place and local identity, it had problems with disaster prevention systems such as vulnerable safety including fire and difficulties in fire recognition and initial firefighting. Therefore, this study concluded through its review and analysis that a disaster prevention system such as stronger firefighting is needed; that fire fighting facilities suitable for the characteristics of the secondary station with a wooden structure should be installed and a main player should be arranged in fire prevention activities to improve the fire prevention system of the cultural property; and that as most mission stations are located in rural areas, it is necessary to more thoroughly protect wooden-structure secondary stations from natural disasters such as forest fire and to improve fire response measures.

A Study on the Factors Affecting the Attitude and Behavioral Intention toward the Instagrammable Exhibition: A case study on <Yumi's Cell Special Exhibition>

  • Ji-Su, Park;Bo-A, Rhee
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.2
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    • pp.27-38
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    • 2023
  • The purpose of this study is to shed light on the relationship between perceived value(PV), attitude toward the exhibition(ATYCSE), and behavioral intention toward the exhibition(BITYCSE) through literature review and quantitative research, focusing on <Yumi's Cells Special Exhibition (2020)> as an Instagrammable exhibition. The exhibition has strong entertainment experience quality, and taking pictures has a positive correlation with the satisfaction as well as the immersion, while sharing the viewing experience on Instagram does not influence on the ATYCSE in terms of the PV. Satisfaction also has meaningful correlations with the immersion and the detail factors of BITYCSE. In particular, it can be confirmed that the storytelling factor occupied a superiority over the exhibit factors or the exhibition environment of the Instagram-friendly exhibition, and through this, the importance of storytelling was confirmed. This research unveils implications for the influence of the interactivity and participatory features of the Instagrammable exhibition on the ATYCSE as a potential factor of PV, and the importance of storytelling in Instagrammable exhibitions.

Stacked Sparse Autoencoder-DeepCNN Model Trained on CICIDS2017 Dataset for Network Intrusion Detection (네트워크 침입 탐지를 위해 CICIDS2017 데이터셋으로 학습한 Stacked Sparse Autoencoder-DeepCNN 모델)

  • Lee, Jong-Hwa;Kim, Jong-Wouk;Choi, Mi-Jung
    • KNOM Review
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    • v.24 no.2
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    • pp.24-34
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    • 2021
  • Service providers using edge computing provide a high level of service. As a result, devices store important information in inner storage and have become a target of the latest cyberattacks, which are more difficult to detect. Although experts use a security system such as intrusion detection systems, the existing intrusion systems have low detection accuracy. Therefore, in this paper, we proposed a machine learning model for more accurate intrusion detections of devices in edge computing. The proposed model is a hybrid model that combines a stacked sparse autoencoder (SSAE) and a convolutional neural network (CNN) to extract important feature vectors from the input data using sparsity constraints. To find the optimal model, we compared and analyzed the performance as adjusting the sparsity coefficient of SSAE. As a result, the model showed the highest accuracy as a 96.9% using the sparsity constraints. Therefore, the model showed the highest performance when model trains only important features.