• Title/Summary/Keyword: Risk indicators

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Citizen Science approach and Datification: Pilot Study on Factors Influencing the Dementia among Older Adults

  • Lim, Hong Tak;Han, Jeong-won;Seong, Deok-Hyun;Park, Na-Li;Park, Kyong Won;Kim, Woo-Kyong
    • International Journal of Contents
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    • v.17 no.4
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    • pp.46-51
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    • 2021
  • This pilot study examined the contribution of citizen science approach to the datification of factors influencing the progress of cognitive health of the older adults. Newspapers were reviewed and FGIs of field workers at a Day Care Center gathered relevant data from citizen. Two questions were put forward; whether new factors are drawn from citizen knowledge; if yes, whether they represent a new type of data. 'Aesal', personality of the older adults with dementia is noted as a new dementia affecting factor. The data on personality also present a new challenge for scientific measurement. The relationship between personality or psychology of the older adults and the risk of getting dementia has been a research field for a long time, yet the impact of personality on the progress of dementia has not been examined scientifically. Because of communication difficulties with the older adults with dementia, new types of indicators and new ways of measurements thus need to be developed.

A Study on Disaster Influencing Factors and Importance for Safety Management in NATM Tunnel Drilling (NATM 터널 굴진 시 안전관리를 위한 재해영향요인 및 중요도에 관한 연구)

  • Lee, YoungSoo;Yoon, Younggeun;Oh, Taekeun
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.757-763
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    • 2022
  • In the NATM tunnel construction method for urban subway and underpass construction, various causes of disaster exist. In this study, in order to analyze the importance of disaster influencing factors during NATM tunnel excavation, the possible risk factors were analyzed through prior research such as drilling, charging and blasting, It was divided into the work items of wrinkle treatment, pumice cleanup, and support materials. Next, the final 21 detailed measurement indicators were selected through the FGI survey of related experts, and AHP (Analytic Hierarchy Process) analysis were conducted. As a result, it was found that the workers involved in the tunnel construction were the most influential disaster influencing factor.

Factors Affecting the Development of Vietnamese Construction and Real Estate Companies

  • PHAN, Giang Lam;NGUYEN, Thuy Dieu;NGUYEN, Chi Thi;NGUYEN, Lan;TRAN, Le Thi
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.9
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    • pp.93-104
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    • 2022
  • This study aims to investigate the factors that contribute to the sustainable development of 334 Vietnamese construction and real estate companies listed on the Stock Exchange of Vietnam over a 5-year period from 2016 to 2020. By using regression analysis with the support of STATA software through examining the financial statements, which involves looking into crucial ratios including capital structure, profitability, firm size, accounts receivable management, and tangible assets investment, this study sheds light on whether these accounting indicators could help predict the construction and real estate companies growing potential in the future. Nevertheless, these ratios slightly contribute to the explanation of the change in revenue growth ratio, with a result of 1.6%, indicating that the value relevance of accounting information provides a modest and insignificant effect on investment decisions. This is understandable because the Vietnamese construction and real estate market still has many shortcomings in handling unexpected events, as well as the industry's peculiarities related to major capital sources from bank loans. Based on this study, governmental authorities and business executives should plan appropriate risk management policies and measures to contribute to the sustainable development of construction and real estate companies.

Sacral Acupuncture for Lower Urinary Tract Symptoms: A Systematic Review of Randomized Controlled Trials

  • Park, Jiwon;Chun, Se-Eun;Park, Min-Cheol;Jo, Eun-Heui
    • Journal of Acupuncture Research
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    • v.39 no.1
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    • pp.1-9
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    • 2022
  • Lower urinary tract symptoms (LUTS) associated with storage, voiding, and post-micturition reduce quality of life and cause mental health problems. In traditional medicine, Baliao points have been empirically used to treat urinary system diseases. In this review, randomized controlled trials (RCTs) using sacral acupuncture on Baliao points with sham treatment, other remedies, or other acupoints were retrieved from 8 electronic databases up to June 2021. Sixteen RCTs met the inclusion criteria. The quality of the included studies was assessed using a risk-of-bias (ROB) tool. Most of the evaluation indicators used in the included RCTs showed that sacral acupuncture had a significant therapeutic effect compared with the sham control intervention groups, and other remedies. However, all studies using acupoints (other than the Baliao points) as a control intervention had a "high" ROB and only reported secondary processed information, making it difficult to evaluate the efficacy of sacral acupuncture treatment for LUTS. No serious adverse effects were reported for sacral acupuncture, and only a low number of minor side effects were observed. These results suggest that sacral acupuncture could be considered as an alternative to existing treatments, with the added benefit of low cost. Large-scale, long-term RCTs are required in the future.

Assessing the Suitability of Satellite Precipitation Products for Flood Modeling in the Tonle Sap Lake Basin, Cambodia

  • Oudom Satia Huong;Xuan-Hien Le;Giha Lee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.176-176
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    • 2023
  • The Tonle Sap is the richest and diverseness of freshwater ecosystem in Southeast Asia, receiving nurturing water flows from the Mekong and its immediate basin. In addition, the rapid development in the Tonle Sap Lake (TSL) Basin, and flood inundation may threaten the natural diversities and characteristics. The impacts of flood inundation in 11 sub-basins contributing to the Tonle Sap Lake were assessed using the Rainfall-Runoff-Inundation (RRI) model to quantify the potential magnitude and extent of the flooding. The RRI model is set up by using gauged rainfall data to simulate the information of river discharge and flood inundation of huge possible flood events. Moreover, two satellite precipitation products (SPPs), CHIRPS and GSMaP, within respectively spatial resolutions of 0.05° and 0.1°, are utilized as an input for the RRI model to simulate river discharge, flood depth, and flood extent for the great TSL Basin of Cambodia. This study used statistical indicators such as NSE, PBIAS, RSR, and R2 as crucial indices to evaluate the performance of the RRI model. Therefore, the findings of this study could provide promising guidance in hydrological modeling and the significant implications for flood risk management and disaster preparedness in the region.

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Study on the Relationship between Carotid Intima-Media Thickness and Korean Standard of Pattern Identification in Ischemic Stroke Patients (뇌경색 환자의 경동맥 초음파 검사와 한방 중풍 변증과의 관련성 연구)

  • Kim, Kyoung Min
    • The Journal of the Society of Stroke on Korean Medicine
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    • v.15 no.1
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    • pp.29-38
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    • 2014
  • ■ Objectives The purpose of this study was to investigate the correlation of The Korean Standard Pattern Identification for Stroke and Intima-Media Thickness of common carotid artery(CCA-IMT). ■ Methods 100 subjects with acute ischemic stroke were recruited from the patients admitted to DongEui Medical Center from the June 2011 to January 2014. We assessed 100 patient's Common Carotid Intima Media Thickness data by B Mode ultrasonography. We investigated pattern identification of all subjects based on Korean Standard Pattern Identification for Stroke-III. then, We analyzed their characteristics, risk factor, blood test result, life style. ■ Results We analyzed indicators of Korean Standard Pattern Identification for Stroke-III by Common Carotid Intima Media Thickness difference. As a result, pale complexion, look powerless, drowsiness like to lie, heat vexation and aversion to heat were significantly higher in the CCAIMT ≧ 1.0mm group then in the CCA-IMT < 1.0mm group. ■ Conclusion According to the analysis, the Relationship between Carotid Intima-Media Thickness and The Korean Standard Pattern Identification for Stroke in Ischemic Stroke Patients were founded. To acquire more concrete conclusion on this theme, we need more research.

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Determining Leadership Styles to Support Civil Servant Relocation: A Case Study of Indonesia's New Capital Plan

  • IRAWANTO, Dodi Wirawan;NOVIANTI, Khusnul Rofida;FANANI, Lutfi
    • The Journal of Asian Finance, Economics and Business
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    • v.10 no.1
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    • pp.233-242
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    • 2023
  • This study intends to investigate the impact of leadership style on civil servants' (in 4 ministries representatives of the Indonesian government) readiness to change and relocate to the future capital of Indonesia (Ibu Kota Nusantara / IKN). The quantitative approach was used from the data survey from 62 high-level civil servant representatives using a questionnaire. The collected data was analyzed using the SPSS software and exploratory factor analysis (EFA). The findings also indicated that, out of the 12 indicators of leadership style measured in this study, persuasion and integration leadership style should be considered crucial and important factors in shaping supportive behavior in the context of readiness for change. Making the relocation process successful requires avoiding the type of initiation structure leadership style. The finding of this study reveals that to choose the best leaders, the Indonesian government is urged to use these two criteria (persuasion and integration leadership style), especially for those in charge of facilitating the relocation process to IKN. Additionally, to demonstrate their confidence and make full use of their resources, leaders who are in command must be able to anticipate that the relocation of civil servants would go smoothly with less risk.

Chuna Manual Therapy for Premature Infants: A Literature Review (조산아의 추나 치료에 대한 문헌 고찰)

  • Ju-Chan Cho;Hye-Jin Park;In Heo
    • The Journal of Churna Manual Medicine for Spine and Nerves
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    • v.18 no.2
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    • pp.23-29
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    • 2023
  • Objectives This study aimed to explore literature evidence regarding Chuna manual therapy for premature infants and determine its applicability. Methods Eight electronic databases were searched, and randomized control trials (RCTs) applying Chuna manual therapy to premature infants were sought. The Cochrane risk of bias tool was employed to assess the methodological quality of each RCT. Results Two RCTs met the inclusion criteria and were subjected to analysis. Each study compared the usual care group with the pediatric Chuna group. The results indicated improvements in nutritional status, a reduction in hospitalization days, and enhancements in growth indicators. Conclusions Chuna manual therapy is worth applying to premature infants. However, evidence is limited due to a lack of well-designed RCTs. More qualified clinical trials are needed to obtain stronger evidence.

Comparing Social Media and News Articles on Climate Change: Different Viewpoints Revealed

  • Kang Nyeon Lee;Haein Lee;Jang Hyun Kim;Youngsang Kim;Seon Hong Lee
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.11
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    • pp.2966-2986
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    • 2023
  • Climate change is a constant threat to human life, and it is important to understand the public perception of this issue. Previous studies examining climate change have been based on limited survey data. In this study, the authors used big data such as news articles and social media data, within which the authors selected specific keywords related to climate change. Using these natural language data, topic modeling was performed for discourse analysis regarding climate change based on various topics. In addition, before applying topic modeling, sentiment analysis was adjusted to discover the differences between discourses on climate change. Through this approach, discourses of positive and negative tendencies were classified. As a result, it was possible to identify the tendency of each document by extracting key words for the classified discourse. This study aims to prove that topic modeling is a useful methodology for exploring discourse on platforms with big data. Moreover, the reliability of the study was increased by performing topic modeling in consideration of objective indicators (i.e., coherence score, perplexity). Theoretically, based on the social amplification of risk framework (SARF), this study demonstrates that the diffusion of the agenda of climate change in public news media leads to personal anxiety and fear on social media.

A Study on a Development of Automated Measurement Sensor for Forest Fire Surface Fuel Moistures (산불연료습도 자동화 측정센서 개발에 관한 연구)

  • YEOM, Chan-Ho;LEE, Si-Young;PARK, Houng-Sek;WON, Myoung-Soo
    • Journal of the Korean Wood Science and Technology
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    • v.48 no.6
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    • pp.917-935
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    • 2020
  • In this study, an automated sensor to measure forest fire surface fuel moistures was developed to predict changes in the moisture content and risk of forest fire surface fuel, which was indicators of forest fire occurrence and spread risk. This measurement sensor was a method of automatically calculating the moisture content of forest fire surface fuel by electric resistance. The proxy of forest fire surface fuel used in this sensor is pine (50 cm long, 1.5 cm in diameter), and the relationship between moisture content and electrical resistance, R(R:Electrical resistance)=2E(E:Exponent of 10)+13X(X:Moisture content)-9.705(R2=0.947) was developed. In addition, using this, the software and case of the automated measurement sensor for forest fire surface fuel moisture were designed to produce a prototype, and the suitability (R2=0.824) was confirmed by performing field monitoring verification in the forest. The results of this study would contribute to develop technologies that can predict the occurrence, spread and intensity of forest fires, and are expected to be used as basic data for advanced forest fire risk forecasting technologies.