• Title/Summary/Keyword: meta information

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Development of Core Competency Model for Adult College Students (성인대학생의 핵심역량모형 개발)

  • Kim, Eun-Young;Kim, Jin-Sook
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.389-395
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    • 2022
  • This study aims to develop a core competency model for adult college students. For this purpose, the core competencies of adult college students were derived by analyzing domestic and foreign literature studies. And the Delphi survey was conducted for the validity of core competencies. The SPSS 18.0 program was used for analysis. As results of the analysis, there are 11 core competencies of adult college students derived: communication, problem-solving and meta, interpersonal, personal management and development, digital information literacy, major knowledge, citizenship, convergence, character, professional job, and global. The core competency model of adult college students was developed by assigning numbers from 01 to 11 based on the results of the Delphi survey. Core competencies of adult college students were organically linked, so the cultivation of one core competency affects other core competencies.

Therapeutic Potential of Active Components from Acorus gramineus and Acorus tatarinowii in Neurological Disorders and Their Application in Korean Medicine

  • Cheol Ju Kim;Tae Young Kwak;Min Hyeok Bae;Hwa Kyoung Shin;Byung Tae Choi
    • Journal of Pharmacopuncture
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    • v.25 no.4
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    • pp.326-343
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    • 2022
  • Neurological disorders represent a substantial healthcare burden worldwide due to population aging. Acorus gramineus Solander (AG) and Acorus tatarinowii Schott (AT), whose major component is asarone, have been shown to be effective in neurological disorders. This review summarized current information from preclinical and clinical studies regarding the effects of extracts and active components of AG and AT (e.g., α-asarone and β-asarone) on neurological disorders and biomedical targets, as well as the mechanisms involved. Databases, including PubMed, Embase, and RISS, were searched using the following keywords: asarone, AG, AT, and neurological disorders, including Alzheimer's disease, Parkinson's disease, depression and anxiety, epilepsy, and stroke. Meta-analyses and reviews were excluded. A total of 873 studies were collected. A total of 89 studies were selected after eliminating studies that did not meet the inclusion criteria. Research on neurological disorders widely reported that extracts or active components of AG and AT showed therapeutic efficacy in treating neurological disorders. These components also possessed a wide array of neuroprotective effects, including reduction of pathogenic protein aggregates, antiapoptotic activity, modulation of autophagy, anti-inflammatory and antioxidant activities, regulation of neurotransmitters, activation of neurogenesis, and stimulation of neurotrophic factors. Most of the included studies were preclinical studies that used in vitro and in vivo models, and only a few clinical studies have been performed. Therefore, this review summarizes the current knowledge on AG and AT therapeutic effects as a basis for further clinical studies, and clinical trials are required before these findings can be applied to human neurological disorders.

Comparative Genomic Analysis and BTEX Degradation Pathways of a Thermotolerant Cupriavidus cauae PHS1

  • Chandran Sathesh-Prabu;Jihoon Woo;Yuchan Kim;Suk Min Kim;Sun Bok Lee;Che Ok Jeon;Donghyuk Kim;Sung Kuk Lee
    • Journal of Microbiology and Biotechnology
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    • v.33 no.7
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    • pp.875-885
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    • 2023
  • Volatile organic compounds such as benzene, toluene, ethylbenzene, and isomers of xylenes (BTEX) constitute a group of monoaromatic compounds that are found in petroleum and have been classified as priority pollutants. In this study, based on its newly sequenced genome, we reclassified the previously identified BTEX-degrading thermotolerant strain Ralstonia sp. PHS1 as Cupriavidus cauae PHS1. Also presented are the complete genome sequence of C. cauae PHS1, its annotation, species delineation, and a comparative analysis of the BTEX-degrading gene cluster. Moreover, we cloned and characterized the BTEX-degrading pathway genes in C. cauae PHS1, the BTEX-degrading gene cluster of which consists of two monooxygenases and meta-cleavage genes. A genome-wide investigation of the PHS1 coding sequence and the experimentally confirmed regioselectivity of the toluene monooxygenases and catechol 2,3-dioxygenase allowed us to reconstruct the BTEX degradation pathway. The degradation of BTEX begins with aromatic ring hydroxylation, followed by ring cleavage, and eventually enters the core carbon metabolism. The information provided here on the genome and BTEX-degrading pathway of the thermotolerant strain C. cauae PHS1 could be useful in constructing an efficient production host.

Smart Radar System for Life Pattern Recognition (생활패턴 인지가 가능한 스마트 레이더 시스템)

  • Sang-Joong Jung
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.2
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    • pp.91-96
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    • 2022
  • At the current camera-based technology level, sensor-based basic life pattern recognition technology has to suffer inconvenience to obtain accurate data, and commercial band products are difficult to collect accurate data, and cannot take into account the motive, cause, and psychological effect of behavior. the current situation. In this paper, radar technology for life pattern recognition is a technology that measures the distance, speed, and angle with an object by transmitting a waveform designed to detect nearby people or objects in daily life and processing the reflected received signal. It was designed to supplement issues such as privacy protection in the existing image-based service by applying it. For the implementation of the proposed system, based on TI IWR1642 chip, RF chipset control for 60GHz band millimeter wave FMCW transmission/reception, module development for distance/speed/angle detection, and technology including signal processing software were implemented. It is expected that analysis of individual life patterns will be possible by calculating self-management and behavior sequences by extracting personalized life patterns through quantitative analysis of life patterns as meta-analysis of living information in security and safe guards application.

Qualitative Assessment and Development of Level of Evidence and Strength of Recommendation Models in the Field of Physical Therapy in Korea (국내 물리치료분야에 대한 질적 평가와 근거 수준 및 권고 등급 모형 개발 방안)

  • Sung-Hyoun Cho;Jeong-Woo Lee
    • Journal of The Korean Society of Integrative Medicine
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    • v.11 no.2
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    • pp.231-242
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    • 2023
  • Purpose : This study aimed to identify ways to improve the quality of physical therapy research and ultimately review the current situation to improve evidence-based decision-making in physical therapy. Methods : For better evidence-based decision-making in physical therapy, researchers should review the quality assessment of articles in more detail and report their findings for valid and appropriate level of evidence and strength of recommendations. The level of evidence affects how well the findings are derived from well-designed literature. The evaluation of the evidence focuses primarily on the study design and the degree of bias that may compromise the validity of the findings. The final recommendation is based on a combination of the study design and literature quality. To uncover gems of information in each paper, a risk of bias assessment should be performed after the literature has been initially selected. Results : Researchers should consider the complexity of the intervention, appropriate grouping, and calculation of effect sizes for the intervention. Researchers conducting systematic reviews should provide a detailed description of the quality assessment performed and present a detailed analysis of their interpretation of the results. The results of systematic reviews and meta-analyses should be interpreted with caution and include a risk of bias assessment. Guidelines for the level of evidence and strength of recommendations should be developed and utilized more broadly to improve reporting practices in physical therapy. Conclusion : Researchers should be knowledgeable about the strengths and limitations of each study design and methodology. In the future, researchers will also need to improve their ability to critically evaluate their findings, given the potential for their results to influence clinical practice.

Do platelet concentrates accelerate orthodontic tooth movement?: a systematic review

  • Sergio Herrero-Llorente;Angel-Orion Salgado-Peralvo;Jan G.J.H. Schols
    • Journal of Periodontal and Implant Science
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    • v.53 no.1
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    • pp.2-19
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    • 2023
  • Purpose: Surgical techniques in orthodontics have received widespread attention in recent years. Meanwhile, biomaterials with high molecular content have been introduced, such as platelet concentrates (PCs), which may accelerate orthodontic tooth movement (OTM) and reduce periodontal damage. The present systematic review aimed to answer the following PICO question: "In patients in whom orthodontic surgical techniques are performed (P), what is the effectiveness of using PCs over the surgical site (I) when compared to not placing PCs (C) to achieve faster tooth movement (O)?" Methods: A search was performed in 6 databases. The criteria employed were those described in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses declaration. The present review included studies with a control group that provided information about the influence of PCs on the rate of OTM. Results: The electronic search identified 10 studies that met the established criteria. Conclusions: The included studies were very diverse, making it difficult to draw convincing conclusions. However, a tendency was observed for OTM to be accelerated when PCs were used as an adjuvant for canine distalization after premolar extraction when distalization was started in the same session. Likewise, studies seem to indicate an association between PC injection and the amount of canine retraction. However, it is not possible to affirm that the use of PCs in corticotomy shortens the overall treatment time, as this question has not been studied adequately.

Cryopreservation of mesenchymal stem cells derived from dental pulp: a systematic review

  • Sabrina Moreira Paes;Yasmine Mendes Pupo;Bruno Cavalini Cavenago;Thiago Fonseca-Silva;Carolina Carvalho de Oliveira Santos
    • Restorative Dentistry and Endodontics
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    • v.46 no.2
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    • pp.26.1-26.15
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    • 2021
  • Objectives: The aim of the present systematic review was to investigate the cryopreservation process of dental pulp mesenchymal stromal cells and whether cryopreservation is effective in promoting cell viability and recovery. Materials and Methods: This systematic review was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement and the research question was determined using the population, exposure, comparison, and outcomes strategy. Electronic searches were conducted in the PubMed, Cochrane Library, Science Direct, LILACS, and SciELO databases and in the gray literature (dissertations and thesis databases and Google Scholar) for relevant articles published up to March 2019. Clinical trial studies performed with dental pulp of human permanent or primary teeth, containing concrete information regarding the cryopreservation stages, and with cryopreservation performed for a period of at least 1 week were included in this study. Results: The search strategy resulted in the retrieval of 185 publications. After the application of the eligibility criteria, 21 articles were selected for a qualitative analysis. Conclusions: The cryopreservation process must be carried out in 6 stages: tooth disinfection, pulp extraction, cell isolation, cell proliferation, cryopreservation, and thawing. In addition, it can be inferred that the use of dimethyl sulfoxide, programmable freezing, and storage in liquid nitrogen are associated with a high rate of cell viability after thawing and a high rate of cell proliferation in both primary and permanent teeth.

Electroacupuncture for Lumbar Spinal Stenosis: A Systematic Review and Meta-Analysis (요추 척추관 협착증에 대한 전침 치료의 효과: 체계적 문헌고찰 및 메타분석)

  • Bok-Yeon Na;Woo-Seok Shon;Young-Jun Kim;Chang-Hoon Woo
    • Journal of Korean Medicine Rehabilitation
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    • v.33 no.3
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    • pp.67-78
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    • 2023
  • Objectives To evaluate the evidence supporting the efficacy and safety of electroacupuncture for lumbar spinal stenosis. Methods We searched eight electronic databases (PubMed, EMBASE, Cochrane Library, Chinese Academic Journals, Research Information Sharing Service, ScienceOn, KMBASE, DBpia) and related two journals up to March 2023. We included randomized controlled trials of testing electroacupuncture for lumbar spinal stenosis patients. The methodological quality of relevant randomized controlled trials assessed by the Cochrane risk of bias tool. Results Among 90 articles that were searched, seven randomized controlled trials involving 474 participants were finally selected in this systematic review. Electroacupuncture was more effective on lumbar spinal stenosis compared with other treatments including analgesics, acupuncture, bed rest and exercise therapy, but showed ambiguous effect compared with physical therapy. Most of the side effects and adverse reactions were reported as minor and temporary. Conclusions Electroacupuncture for lumbar spinal stenosis was more effective than analgesics, acupuncture, bed rest and exercise therapy. In terms of safety, it was limited because there are many papers that do not mention side effects and adverse reactions related to electroacupuncture. Additional studies are needed to determine the effect of electroacupuncture on lumbar spinal stenosis.

Cryptocurrency Auto-trading Program Development Using Prophet Algorithm (Prophet 알고리즘을 활용한 가상화폐의 자동 매매 프로그램 개발)

  • Hyun-Sun Kim;Jae Joon Ahn
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.1
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    • pp.105-111
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    • 2023
  • Recently, research on prediction algorithms using deep learning has been actively conducted. In addition, algorithmic trading (auto-trading) based on predictive power of artificial intelligence is also becoming one of the main investment methods in stock trading field, building its own history. Since the possibility of human error is blocked at source and traded mechanically according to the conditions, it is likely to be more profitable than humans in the long run. In particular, for the virtual currency market at least for now, unlike stocks, it is not possible to evaluate the intrinsic value of each cryptocurrencies. So it is far effective to approach them with technical analysis and cryptocurrency market might be the field that the performance of algorithmic trading can be maximized. Currently, the most commonly used artificial intelligence method for financial time series data analysis and forecasting is Long short-term memory(LSTM). However, even t4he LSTM also has deficiencies which constrain its widespread use. Therefore, many improvements are needed in the design of forecasting and investment algorithms in order to increase its utilization in actual investment situations. Meanwhile, Prophet, an artificial intelligence algorithm developed by Facebook (META) in 2017, is used to predict stock and cryptocurrency prices with high prediction accuracy. In particular, it is evaluated that Prophet predicts the price of virtual currencies better than that of stocks. In this study, we aim to show Prophet's virtual currency price prediction accuracy is higher than existing deep learning-based time series prediction method. In addition, we execute mock investment with Prophet predicted value. Evaluating the final value at the end of the investment, most of tested coins exceeded the initial investment recording a positive profit. In future research, we continue to test other coins to determine whether there is a significant difference in the predictive power by coin and therefore can establish investment strategies.

A Study on Extracting Boundary Data of Marine Fish Farms Based on Satellite Images (위성영상 기반 해양수산 양식장의 경계 데이터 추출)

  • Seong-hoon Jeong
    • Journal of Advanced Navigation Technology
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    • v.27 no.6
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    • pp.877-883
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    • 2023
  • For safe operation of ships and management of marine fisheries farms, the data set that extracts the boundaries of marine fisheries farms can provide information on obstacles in the vessel's navigation path in advance by examining whether it matches the fishing ground permit area. In addition, it can be used to determine whether fish farms are operating to compensate for damage caused by marine accidents, and the relevant local government can use it to manage fishing grounds. It is also highly utilized as basic data to identify obstacles for safe navigation of ships. In this study, Sentinel-2 satellite image data from the European Space Agency (ESA) was used to extract the boundaries of fish farms. From the video image, the fish farm's status data by cycle was divided into five zones: Busan-Ulsan area, Geoje-Changwon area, Goseong-Tongyeong area, and Namhae-Sacheon area. Through the image highlighting process, the farm boundary data and meta data were processed and extracted.