• Title/Summary/Keyword: Database application

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A Systematic Review on Intervention of Interactive Metronome: Focus on Single-Subject Research Design in Korean Academic Journals (상호작용식 메트로놈(Interactive Metronome)의 중재에 대한 체계적 고찰: 국내 단일대상연구를 중심으로)

  • Son, Yeong Soo;Choi, Yoo Im
    • Therapeutic Science for Rehabilitation
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    • v.12 no.1
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    • pp.7-22
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    • 2023
  • Objective : This study aimed to confirm the research characteristics and quality of single-subject literature among domestic studies that applied interactive metronome (IM) intervention. Methods : Regarding literature search, 11 single-subject studies using IM were selected from an online database from January 2011 to June 2022. Moreover, the general characteristics and quality of the research method were analyzed. Results : The qualitative level of the analyzed literature was above the moderate level. However, intervention blindness and reliability showed low compliance. The ABA design accounted for the largest proportion of methods. Most of the study participants had attention deficit hyperactivity disorder. Attention, balance, bilateral coordination, and timing were checked as dependent variables. The IM-SFT was used most frequently as an evaluation method. The mediation session applied more than 8-10 interventions for 3-11 weeks. The intervention results in all studies indicated functional improvement after intervention. Conclusion : It might be necessary to expand the application of IM interventions to diverse diseases. In addition, there is a need to study the effect on the participants' quality of life and changes in daily life along with dependent variables such as attention and balance

Development of VR-based Crane Simulator using Training Server (트레이닝 서버를 이용한 VR 기반의 크레인 시뮬레이터 개발)

  • Wan-Jik Lee;Geon-Young Kim;Seok-Yeol Heo
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.703-709
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    • 2023
  • It is most desirable to train with a real crane in an environment similar to that of a port for crane operation training in charge of loading and unloading in a port, but it has time and space limitations and cost problems. In order to overcome these limitations, VR(Virtual Reality) based crane training programs and related devices are receiving a lot of attention. In this paper, we designed and implemented a VR-based harbor crane simulator operating on an HMD. The simulator developed in this paper consists of a crane simulator program that operates on the HMD, an IoT driving terminal that processes trainees' crane operation input, and a training server that stores trainees' training information. The simulator program provides VR-based crane training scenarios implemented with Unity3D, and the IoT driving terminal developed based on Arduino is composed of two controllers and transmits the user's driving operation to the HMD. In particular, the crane simulator in this paper uses a training server to create a database of environment setting values for each educator, progress and training time, and information on driving warning situations. Through the use of such a server, trainees can use the simulator in a more convenient environment and can expect improved educational effects by providing training information.

Development of Geotechnical Information Input System Based on GIS on Standization of Geotechnical Investigation Result-format and Metadata (지반조사성과 양식 및 메타데이터 표준화를 통한 GIS기반의 지반정보 입력시스템 개발)

  • Jang, YongGu;Lee, SangHoon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.4D
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    • pp.545-551
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    • 2008
  • The MOCT(Ministry of Construction & Transportation) gave a order named as "The guideline for computerization and application of geotechnical investigation result" to an affiliated organization in March 2007. Today, pilot project of construction of geotechnical information database is in process to be stable for its system after applying this guideline, and discipline how to input investigated data for related users. We have developed standard for geotechnical investigation result-format, metadata for distribution of geotechnical information and to coordinate based on world geodetic system. Also, We had a introduce to status with respect to use the input system, collect a statistics of input contents. At a result, improvement items of input system is proposed. It was analyzed that most users put to practical use easily as a result of education for making use of on the spot of the developed GIIS. But There were problems with the GIIS as well as complexity of metadata formation, such as error of moving part of information window, and a part of recognition error of install program in accordance with computer OS circumstances. Particularly, to improve some parts of GIIS is needed, because of use of or KNHC (Korea National Housing Corporation)-specific format and difference of input process followed by MOCT's guideline. In this study, it is planning to make up for occurred problems, and improvements when operating and managing the Geotechnical Information DB center in 2008.

Application of Probabilistic Neural Network (PNN) for Evaluating the Lateral Flow Occurrence on Soft Ground (연약지반의 측방유동 평가를 위한 확률신경망 이론의 적용)

  • Kim, Young Sang;Joo, No Ah;Lee, Jeong Jae;Lee, Sook Ju
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.1C
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    • pp.1-8
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    • 2008
  • Recently, there have been many construction projects on soft ground with growth of industry and economy. Therefore foundation piles of abutments and(or) buildings had been suffering from a lot of stability problems of inordinary displacement due to lateral flow of soft ground. Although many researches about lateral flow have been carried out, it is still difficult to assess the mechanism of lateral flow in soft ground quantitatively. And reasonable design method for judgement of lateral flow occurrence in soft ground is not established yet. In this study, six PNN (Probabilistic Neural Network) models were developed according to input variables and database compiled from Korea and Japan for the judgment of lateral flow occurrence. PNN models were compared with present empirical methods. It was found that the developed PNN models can give more precise and reliable judgment of lateral flow occurrence than empirical methods.

Application of Multiple Linear Regression Analysis and Tree-Based Machine Learning Techniques for Cutter Life Index(CLI) Prediction (커터수명지수 예측을 위한 다중선형회귀분석과 트리 기반 머신러닝 기법 적용)

  • Ju-Pyo Hong;Tae Young Ko
    • Tunnel and Underground Space
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    • v.33 no.6
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    • pp.594-609
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    • 2023
  • TBM (Tunnel Boring Machine) method is gaining popularity in urban and underwater tunneling projects due to its ability to ensure excavation face stability and minimize environmental impact. Among the prominent models for predicting disc cutter life, the NTNU model uses the Cutter Life Index(CLI) as a key parameter, but the complexity of testing procedures and rarity of equipment make measurement challenging. In this study, CLI was predicted using multiple linear regression analysis and tree-based machine learning techniques, utilizing rock properties. Through literature review, a database including rock uniaxial compressive strength, Brazilian tensile strength, equivalent quartz content, and Cerchar abrasivity index was built, and derived variables were added. The multiple linear regression analysis selected input variables based on statistical significance and multicollinearity, while the machine learning prediction model chose variables based on their importance. Dividing the data into 80% for training and 20% for testing, a comparative analysis of the predictive performance was conducted, and XGBoost was identified as the optimal model. The validity of the multiple linear regression and XGBoost models derived in this study was confirmed by comparing their predictive performance with prior research.

Investigation of USGS Short-Wave Infrared Databases and Comparison with Domestic Cases - Focusing on the Availability for the Mineralogical Analyses and an Application on the Domestic Illite - (USGS 단파장 적외선 데이터베이스 분석 및 국내 사례와 비교: 광물학적 활용도 고찰 및 국내 산출 일라이트로의 적용 사례)

  • Chang Seong Kim;Raeyoon Jeong;Soon-Oh Kim;Ji-man Cha
    • Korean Journal of Mineralogy and Petrology
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    • v.36 no.4
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    • pp.259-271
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    • 2023
  • Since the short-wave infrared spectrum has a significant range of variation depending on the production environment, countries with advanced resource exploration are collecting the spectrum and building a database. Representative organizations include the USGS and CSIRO, and they are currently carrying out a project in China that can synthesize and use a large number of existing data. The USGS library provides a total of 2,457 spectra targeting not only minerals but also various materials that respond to infrared radiation. Among these, there are 1,276 mineral spectra, which are about half of the total. The spectrum title includes information, such as analysis devices (NIC4, BECK, ASDNG, etc.), purity codes (a, b, c, d, u), and measurement methods (AREF, RREF, RTGC, TRAN). Analyzed raw data are provided in ASCII and GIF format. The CSIRO library has a total of 502 spectra, of which the majority, 493, correspond to mineral spectra. The USGS library is a free, publically available resource, while the CSIRO library is bundled with TSG8 or must be purchased separately. Among these, when comparing the eight spectra whose spectral shapes can be analyzed with the spectra of domestic illite, the positions of the absorption peaks are significantly different from those of domestic illite, except for one Japanese illite. Additional research will be needed to determine the causes of such differences, and the domestically relevant databases should be established as well.

A Checklist of North Korea Plant and Current Status of Genetic Resources Held by Domestic and International Arboreta (북한식물 목록과 국내·외 수목원의 북한식물 유전자원 보유 현황)

  • Young-Min Choi;Seungju Jo;Hyeonji Lee;Jung-Won Yoon
    • Korean Journal of Plant Resources
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    • v.37 no.2
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    • pp.171-202
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    • 2024
  • If the plant genetic resources and information-sharing systems held by arboretums worldwide are effectively utilized, it is believed that a conservation system for plant diversity in the currently inaccessible North Korean region could be established. This study was conducted to review the scientific names of plants native to North Korea but not to South Korea and to assess the status of genetic resources held in domestic and international arboretums. To compile a list and status of North Korean plant's genetic resources, updated checklists of vascular plants in Korean Peninsula and online plant information databases were consulted to compile synonym, distribution range, and other related information. A total of 486 taxa (449 species, 13 subspecies, 21 varieties, 1 forma and 2 hybrids) from 236 genera and 64 families, representing 12.34% of the total native flora of the Korean Peninsular were presented in the North Korea plant list, and the presence of rare, endemic and northern lineage species was confirmed. It was found that 384 taxa from 190 genera, 53 families of North Korean plants are held as genetic resources in 333 arboretums and plant research institutions across 46 countries and 5 continents worldwide. This study is expected to contribute to the construction and application of a species list for plants native to the Korean Peninsula.

A Study of the Predictive Effectiveness of Stem and Root Extracts of Cannabis sativa L. Through Network Pharmacological Analysis (네트워크 분석기반을 통한 대마 줄기 및 뿌리 추출물의 약리효능 예측연구)

  • Myung-Ja Shin;Min-Ho Cha
    • Journal of Life Science
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    • v.34 no.3
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    • pp.179-190
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    • 2024
  • Cannabis sativa is a plant widely cultivated worldwide and has been used as a material for food, medicine, building materials and cosmetics. In this study, we assessed the functional effects of C. sativa stem and root extracts using network pharmacology and confirmed their novel functions. The components in stem and root ethanol extracts were identified by gas chromatography-mass spectrometry analysis, and networks between the components and proteins were constructed using the STICHI database. Functional annotation of the proteins was performed using the KEGG pathway. The effects of the extracts were confirmed in lysophosphatidylcholine-induced THP-1 cells using real-time PCR. A total of 21 and 32 components were identified in stem and root extracts, respectively, and 147 and 184 proteins were linked to stem and root components, respectively. KEGG pathway analysis showed that 69 pathways, including the MAPK signaling pathway, were commonly affected by the extracts. Further investigation using pathway networks revealed that terpenoid backbone biosynthesis was likely affected by the extracts, and the expression of the MVK and MVD genes, key proteins in terpenoid backbone biosynthesis, was decreased in LPC-induced THP-1 cells. Therefore, this study determined the diverse function of C. sativa extracts, providing information for predicting and researching the effects of C. sativa.

Research on Evaluation of Properties of PA6/PA66/GF Composite according to Injection Pressure and Simulation of Damping Performance (엔진마운트 브라켓용 PA66/GF 복합재료의 특성 평가 및 진동감쇠 성능 시뮬레이션에 대한 연구)

  • Seong-Hun Yu;Hyun-Sung Yun;Dong-Hyun Yeo;Jun-Hee Lee;Jong-Su Park;Jee-hyun Sim
    • Composites Research
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    • v.37 no.2
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    • pp.59-67
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    • 2024
  • Research was conducted on a PA material-based composite material manufacturing method for application to engine mount brackets. Engine mount brackets must have heat resistance, impact resistance, and damping performance. PA66 resin was used as the base material for the composite material. The glass fiber was used as the reinforcement material. The composite material was manufactured using the injection molding method. The thermal, mechanical, and morphological characteristics were analyzed depending on the content of glass fiber. 3D model was created using the property evaluation database of composite materials(input data). The damping performance of the generated 3D model was extracted as out-put data. The reason for evaluating the characteristics of PA-based composite materials and conducting simulations on the damping performance of 3D models of engine brackets is because product performance can be predicted without manufacturing actual automobile parts and conducting damping performance tests. As a result of the damping simulation, damping performance tended to increase proportionally as the mass fraction of the reinforcement increased. But above a certain level, it no longer increased and slightly decreased. As a result of comparing the actual experimental values a nd the simulated values, the approximate value was within ±5%.

ZNF492 and GPR149 methylation patterns as prognostic markers for clear cell renal cell carcinoma: Array-based DNA methylation profiling

  • Yong‑June Kim;Wooyeong Jang;Xuan‑Mei Piao;Hyung‑Yoon Yoon;Young Joon Byun;Ji Sang Kim;Sung Min Kim;Sang Keun Lee;Sung Pil Seo;Ho Won Kang;Won Tae Kim;Seok Joong Yun;Ho Sun Shon;Keun Ho Ryu;Sang Won Kim;Yun‑Sok Ha;Ghil Suk Yoon;Sang‑Cheol Lee;Tae Gyun Kwon;Wun‑Jae Kim
    • Oncology Letters
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    • v.42 no.1
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    • pp.453-460
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    • 2019
  • The present study aimed to identify novel methylation markers of clear cell renal cell carcinoma (ccRCC) using microarray methylation analysis and evaluate their prognostic relevance in patient samples. To identify cancer-specific methylated biomarkers, microarray profiling of ccRCC samples from our institute (n=12) and The Cancer Genome Atlas (TCGA) database (n=160) were utilized, and the prognostic relevance of candidate genes were investigated in another TCGA dataset (n=153). For validation, pyrosequencing analyses with ccRCC samples from our institute (n=164) and another (n=117) were performed and the potential clinical application of selected biomarkers was examined. We identified 22 CpG island loci that were commonly hypermethylated in ccRCC. Kaplan-Meier analysis of TCGA data indicated that only 4/22 loci were significantly associated with disease progression. In the internal validation set, Kaplan-Meier analysis revealed that hypermethylation of two loci, zinc finger protein 492 (ZNF492) and G protein-coupled receptor 149 (GPR149), was significantly associated with shorter time-to-progression. Multivariate Cox regression models revealed that hypermethylation of ZNF492 [hazard ratio (HR), 5.44; P=0.001] and GPR149 (HR, 7.07; P<0.001) may be independent predictors of tumor progression. Similarly, the methylation status of these two genes was significantly associated with poor outcomes in the independent external validation cohort. Collectively, the present study proposed that the novel methylation markers ZNF492 and GPR149 could be independent prognostic indicators in patients with ccRCC.