• Journal of dental hygiene science
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• v.14 no.3
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• pp.269-275
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• 2014

Recently, there are lots methodologies to improve the quality of research in medical and public health fields. One of them is to checking a process of research with a reporting guideline before reporting paper. Especially, reporting guideline for randomized controlled trials (RCTs) is the consolidated standards of reporting trials (CONSORT). Therefore, this review describes the latest version of the CONSORT statement, CONSORT 2010, including intent, background, and contents of this. The CONSORT statement comprises a checklist of essential items that should be included in reports of RCTs and a diagram for documenting the flow of participants through a trial. This report guideline aims at providing guidance to authors about how to improve the reporting of their trials. As consulting the CONSORT, authors could be strictly reported about research methods and results. From this review, we expect to elevate the quality of such research about dental hygiene and to establish the foundation for evidence-based dental hygiene.

• Journal of Korean Society for Quality Management
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• v.45 no.4
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• pp.601-610
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• 2017

Purpose: Authors observe the digital twin enabled smart factory and/or digital manufacturing processes where Industry 4.0 technologies and quality management principles intersect. In this regard, this study reviews existing research regarding digital twins from the perspective of quality management. Methods: Initially, attention was given to how digital twins are manifested in the Industry 4.0 environment. Then, authors identify quality management elements amongst digital twin models, to align the concept of quality with the functional purpose of digital twins. After introducing specific examples of quality management tools applied to digital twins, the authors extend the domain of quality management into the analysis of multimedia format quality data obtained through machine vision. Results: Inspired by cases on the quality management application to digital twins, the authors suggest a framework for Industry 4.0 quality management. The envisioned suggested framework encompasses 4 dimensions, namely, 4M&1E, an application time window, new methodologies, and enabling technologies. Conclusion: Finally, the authors unfold the emerging trend of digital twin enabled smart factories, while emphasizing the necessity of quality management in conjunction with the introduction of digital twins.

• Journal of Veterinary Science
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• v.25 no.3
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• pp.48.1-48.12
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• 2024

Importance: Early diagnosis of canine pancreatitis is challenging due to non-specific clinical signs. Currently, abdominal ultrasonography and measurement of canine pancreatic lipase (cPL) have been employed for the diagnosis of pancreatitis. Objective: Many qualitative and quantitative commercial cPL tests have been developed and used in veterinary clinics. This study aimed to compare three different methodologies SNAP cPL, Spec cPL, and Vcheck cPL tests to assess the concordance of these assays. Methods: Fifty serum samples were collected from 36 dogs with or without pancreatitis and subjected to SNAP cPL, Spec cPL, and Vcheck cPL tests. Agreement and correlation coefficients were calculated between the test results, and correlations were determined during the management of the patients. Results: The results of the three cPL assays were strongly correlated in 47/50 serum samples (94%). Cohen's kappa analysis between the Spec cPL and Vcheck cPL showed near perfect agreement (κ = 0.960, p < 0.001), SNAP cPL and Vcheck cPL (κ = 0.920, p < 0.001), and Spec cPL and SNAP cPL (κ = 0.880, p < 0.001). The correlation coefficients (r) between data from Spec cPL and Vcheck cPL tests was calculated by Spearman's correlation test (r = 0.958, p < 0.001). Furthermore, the patterns of change in serum cPL concentrations determined using Spec cPL and Vcheck cPL were significantly consistent during the monitoring period in 11 patients. Conclusions and Relevance: Our data illustrated that Spec cPL and Vcheck cPL tests are compatible for clinical use in the diagnosis and monitoring of canine pancreatitis.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1997.10a
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• pp.105-108
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• 1997

Previous studies in stock market predictions using artificial intelligence techniques such as artificial neural networks and case-based reasoning, have focused mainly on spot market prediction. Korea launched trading in index futures market (KOSPI 200) on May 3, 1996, then more people became attracted to this market. Thus, this research intends to predict the daily up/down fluctuant direction of the price for KOSPI 200 index futures to meet this recent surge of interest. The forecasting methodologies employed in this research are the integration of genetic algorithm and artificial neural network (GAANN) and the integration of genetic algorithm and case-based reasoning (GACBR). Genetic algorithm was mainly used to select relevant input variables. This study adopts the categorical data preprocessing based on expert's knowledge as well as traditional data preprocessing. The experimental results of each forecasting method with each data preprocessing method are compared and statistically tested. Artificial neural network and case-based reasoning methods with best performance are integrated. Out-of-the Model Integration and In-Model Integration are presented as the integration methodology. The research outcomes are as follows; First, genetic algorithms are useful and effective method to select input variables for Al techniques. Second, the results of the experiment with categorical data preprocessing significantly outperform that with traditional data preprocessing in forecasting up/down fluctuant direction of index futures price. Third, the integration of genetic algorithm and case-based reasoning (GACBR) outperforms the integration of genetic algorithm and artificial neural network (GAANN). Forth, the integration of genetic algorithm, case-based reasoning and artificial neural network (GAANN-GACBR, GACBRNN and GANNCBR) provide worse results than GACBR.

• Ocean and Polar Research
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• v.34 no.3
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• pp.349-364
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• 2012

This study focuses on systematic structure of factors, which affect commercialization of ocean science and technology (OST), applying both grounded theory methodology (GTM) and semantic network analysis methodology (SNAM) by using in-depth interviews with 8 specialists previously experienced in the same field. This study further focuses on clarification of the distinctiveness and universality of commercialization factors on OST by comparatively analyzing on the commercialization factors of general sciences and technologies. Using SNAM, it was determined that commercialization success required connected support system, government support, technology marketing, technology power and characteristics of commercialized entities, which were identified as dominant factors. GTM presented an outcome that connected support systems among participants in commercialization and found that research institute strategies are significant factors in the core phenomenon of commercialization, while technology marketing, technology power and market-oriented technology are important conditions. In addition, the factors of technology, market, connection of participants and government support of commercialized entities are shown as equally important factors for commercialization of ocean science and technology. Secondly, SNAM results indicate that ocean science characteristics depend on a network of government support, research institute strategy, organization and manpower, capital power, and technology marketing, as these ocean science characteristics have been identified as significant factors in the GTM study. It has been determined that technology, market and government support should be connected in order for commercialization of ocean science and technology (OST). Moreover, commercialization methods, applied to the marketing of commercialization of ocean science and technology is differentiated from others since commercialization success is more relevant to these factors.

• Women's Health Nursing
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• v.30 no.1
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• pp.41-55
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• 2024

Purpose: This review explored the status of publications on intimate partner violence (IPV) against pregnant women in contemporary China. Methods: The PubMed, Cochrane Library, Embase, CINAHL, and PsycInfo databases were searched using the terms "IPV," "pregnant woman," "Chinese," and synonyms in English, along with related keywords for Chinese publications. All literature pertaining to IPV during pregnancy, conducted in China, and published between 1987 and September 2023 was included. Results: A total of 37 articles from 30 studies were selected. The prevalence of IPV during pregnancy ranged from 2.5% to 31.3%, with psychological violence being the most common form. Frequently identified risk factors included unintended pregnancy, poor family economic conditions, male partners engaging in health risk behaviors, poor employment status of women or their partners, low education levels among women, physical or mental health issues, strained couple relationships, and in-law conflicts. IPV during pregnancy primarily led to mental health problems for the victims and could result in adverse obstetric outcomes, as well as negative effects on the temperament and development of the offspring. Victims in China demonstrated a low willingness to seek help from professionals. Furthermore, relevant research in mainland China is scarce, with a limited number of studies and non-standardized research methodologies. Conclusion: Future research should investigate IPV in pregnancy from various perspectives, identify factors unique to IPV during pregnancy, and focus on high-risk groups. Considering the conditions in China, there is a pressing need to increase public awareness of IPV and to investigate interventions aimed at addressing this issue.

• Journal of Korean Medicine Rehabilitation
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• v.27 no.2
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• pp.39-54
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• 2017

Objectives This study aimed to search the Chinese literature on acupotomy for lumbar disc herniation and to analyze their methodologies. Methods Using 4 Chinese databases (CBM [www.sinomed.ac.cn], CNKI [www.cnki.net], WANFANG [www.wanfangdata.com], and WEIPU [www.cqvip.com]), we searched for clinical trials conducted in China over the past 10 years on acupotomy for lumbar disc herniation. The search terms used were "(腰椎椎間板脫出症 or 椎間板脫出症 or 椎間板脫出) and (针刀or 针刀松解术)" and we selected only meta-analyses that were published before December 2016. From among these meta-analyses, we excluded duplicates and selected the remaining 36 randomized controlled trials (RCTs) for our final analysis. Results The largest numbers of acupotomy papers were published in 2008 and 2013 (8 papers each). The average number of subjects was 120; the most common treatment method used for the control group was standard acupuncture (in 11 papers), and the most common concurrent treatment in the treatment group was massage (in 10 papers). The most common site of needle insertion was between the spinous processes, or at less than 0.5 cm on either side of the spinous processes (in 24 papers). The most common site of adhesion lysis was at the transverse process (in 24 papers). Two studies were blinded, and the mean Jadad score was 1.17. Conclusions A large number of RCTs on the use of acupotomy for lumbar disc herniation are conducted every year in China, and the procedure has been shown to be very effective, with few adverse effects. However, the average quality of the studies was not very high. Based on our study, we expect several high-quality clinical trials on acupotomy to be conducted in Korea in the future.

• Korean Journal of Agricultural and Forest Meteorology
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• v.11 no.1
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• pp.19-26
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• 2009

The standardization of eddy-covariance data processing is essential for the analysis and synthesis of vast amount of data being accumulated through continuous observations in various flux measurement networks. End users eventually benefit from the open and transparent standardization protocol by clear understanding of final products such as evapotranspiration and gross primary productivity. In this paper, we briefly introduced KoFlux efforts to standardize data processing methodologies and then estimated uncertainties of surface fluxes due to different processing methods. Based on our scrutiny of the data observed at Gwangneung KoFlux site, net ecosystem exchange and ecosystem respiration were sensitive to the selection of different processing methods. Gross primary production, however, was consistent within errors due to cancellation of the differences in NEE and Re, emphasizing that independent observation of ecosystem respiration is required for accurate estimates of carbon exchange. Nocturnal soil evaporation was small and thus the annually integrated evapotranspiration was not sensitive to the selection of different data processing methods. The implementation of such standardized data processing protocol to AsiaFlux will enable the establishment of consistent database for validation of models of carbon cycle, dynamic vegetation, and land-atmosphere interaction at regional scale.

• The Journal of Bigdata
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• v.8 no.2
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• pp.55-71
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• 2023

Cloud Native refers to the Technical Maturity Level of a cloud environment that can utilize all cloud resources to fully function. In converting public sector information resources to the cloud, the characteristics of the cloud are not being used well. Therefore, in this study, the qualitative research method cloud expert interview technique and the quantitative research method used text network analysis for domestic and foreign related articles. Through this, we analyzed the utilization trends related to domestic and foreign cloud natives and the cloud policies of developed countries. Through previous research, the core components of cloud-native were examined, and the need for agile methodologies that were not addressed in previous studies was raised. It is believed that these core components will be applied in the public sector to contribute to business innovation through digital innovation. In addition, this study aims to provide important implications for the use of cloud native in Korea through an in-depth discussion on how to spread cloud native in the public sector.

• Journal of Aerospace System Engineering
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• v.11 no.6
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• pp.68-75
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• 2017

In this study, the bolt torque calculation method for space industry was compared and verified experimentally. Currently, NASA, European Aerospace Agency, and US National Defense Standards are proposing standards for bolt torque estimation. However, these standards vary slightly and require a high level of comprehension. To address these challenges, we selected typical equations among the widely-used bolt torque calculation methodologies, and the predicted values were verified via clamping force test. In addition, we examined the changes in clamping force associated with handling and refastening.