• Journal of Periodontal and Implant Science
• /
• v.53 no.1
• /
• pp.2-19
• /
• 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.

• Restorative Dentistry and Endodontics
• /
• v.46 no.2
• /
• pp.26.1-26.15
• /
• 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.

• Journal of Korean Medicine Rehabilitation
• /
• v.33 no.3
• /
• pp.67-78
• /
• 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.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.46 no.1
• /
• pp.105-111
• /
• 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.

• Journal of Advanced Navigation Technology
• /
• v.27 no.6
• /
• pp.877-883
• /
• 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.

• Tuberculosis and Respiratory Diseases
• /
• v.87 no.3
• /
• pp.261-281
• /
• 2024

Cardiovascular comorbidity is common in individuals with chronic obstructive pulmonary disease (COPD). This factor interferes with pharmacological treatment. The use of β-blockers has been proposed for their known cardioprotective effects. However, due to their adverse reactions, and the risk of causing bronchospasm, there is reluctance to use them. To summarize existing evidence on the effects of β-blocker use in COPD associated with cardiovascular comorbidities in relation to disease severity, exacerbation, and mortality outcomes. EMBASE, Medline, Lilacs, Cochrane Library, and Science Direct databases were used. Observational studies that evaluated the effects of β-blockers on individuals with COPD and cardiovascular comorbidities, and related disease severity, exacerbations, or mortality outcomes were included. Studies that did not present important information about the sample and pharmacological treatment were excluded. Twenty studies were included. Relevance to patient care and clinical practice: The use of β-blockers in individuals with COPD and cardiovascular disease caused positive effects on mortality and exacerbations outcomes, compared with the results of individuals who did not use them. The severity of the disease caused a slight change in forced expiratory volume in 1 second. The odds ratio for mortality was 0.50 (95% confidence interval [CI], 0.39 to 0.63; p<0.00001), and for exacerbations, 0.76 (95% CI, 0.62 to 0.92; p=0.005), being favorable to the group that used β-blockers. Further studies are needed to study the effect of using a specific β-blocker in COPD associated with a specific cardiovascular comorbidity.

• The KIPS Transactions:PartD
• /
• v.12D no.3 s.99
• /
• pp.417-428
• /
• 2005

Today, IT organizations perform projects with vision related to marketing and financial profit. The objective of realizing the vision is to improve the project performing ability in terms of QCD. Organizations have made a lot of efforts to achieve this objective through process improvement. Large companies such as IBM, Ford, and GE have made over $80\%$ of success through business process re-engineering using information technology instead of business improvement effect by computers. It is important to collect, analyze and manage the data on performed projects to achieve the objective, but quantitative measurement is difficult as software is invisible and the effect and efficiency caused by process change are not visibly identified. Therefore, it is not easy to extract the strategy of improvement. This paper measures and analyzes the project performance, focusing on organizations' external effectiveness and internal efficiency (Qualify, Delivery, Cycle time, and Waste). Based on the measured project performance scores, an OT (Opportunity Tree) model was designed for optimizing the project performance. The process of design is as follows. First, meta data are derived from projects and analyzed by quantitative GQM(Goal-Question-Metric) questionnaire. Then, the project performance model is designed with the data obtained from the quantitative GQM questionnaire and organization's performance score for each area is calculated. The value is revised by integrating the measured scores by area vision weights from all stakeholders (CEO, middle-class managers, developer, investor, and custom). Through this, routes for improvement are presented and an optimized improvement method is suggested. Existing methods to improve software process have been highly effective in division of processes' but somewhat unsatisfactory in structural function to develop and systemically manage strategies by applying the processes to Projects. The proposed OT model provides a solution to this problem. The OT model is useful to provide an optimal improvement method in line with organization's goals and can reduce risks which may occur in the course of improving process if it is applied with proposed methods. In addition, satisfaction about the improvement strategy can be improved by obtaining input about vision weight from all stakeholders through the qualitative questionnaire and by reflecting it to the calculation. The OT is also useful to optimize the expansion of market and financial performance by controlling the ability of Quality, Delivery, Cycle time, and Waste.

• Journal of Internet Computing and Services
• /
• v.20 no.4
• /
• pp.63-72
• /
• 2019

As a sub-concept of corporate or organization governance, business governance and IT governance have become major research topics in academia. However, despite the importance of process as a construct for mediating the domain between business and information technology, research on process governance is relatively inadequate. Process Governance focuses on activities that link business strategy with IT system implementation and explains the creation of corporate core values. The researcher studied the basic conceptual governance models of political science, sociology, public administration, and classified governance styles into six categories. The researcher focused on the series of metamodels. For examples, the traditional Strategy Alignment Model(SAM) by Henderson and Venkatraman which is replaced by the neo-SAM model, organizational governance network model, sequential organization governance model, organization governance meta model, process governance CUBE model, COSO and process governance CUBE comparison model, and finally Process Governance Framework and etc. The Major difference between SAM and neo-SAM model is Process Governance domain inserted between Business Governance and IT Governance. Among several metamodels, Process Governance framework, the core conceptual model consists of four activity dimensions: strategic aligning, human empowering, competency enhancing, and autonomous organizing. The researcher designed five variables for each activity dimensions, totally twenty variables. Besides four activity dimensions, there are six driving forces for Process Governance cycle: De-normalizing power, micro-power, vitalizing power, self-organizing power, normalizing power and sense-making. With four activity dimensions and six driving powers, an organization can maintain the flexibility of process governance cycle to cope with internal and external environmental changes. This study aims to propose the Process Governance competency model and Process Governance variables. The situation of the industry is changing from the function-oriented organization management to the process-oriented perspective. Process Governance framework proposed by the researcher will be the contextual reference models for the further diffusion of the research on Process Governance domain and the operational definition for the development of Process Governance measurement tools in detail.

• Journal of Internet Computing and Services
• /
• v.17 no.5
• /
• pp.151-160
• /
• 2016

The purpose of this research is to investigate Korean popular attitudes and social perceptions of 'sharing economy' terminology at the current moment from a creative or socio-economic point of view. In Korea, this study discovers and interprets the objective and tangible annual changes and patterns of sociocultural collective intelligence that have taken place over the last five years by applying text mining in the big data analysis approach. By crawling and Googling, this study collected a significant amount of time series web meta-data with regard to the theme of the sharing economy on the world wide web from 2010 to 2014. Consequently, huge amounts of raw data concerning sharing economy are processed into the value-added meaningful 'word clouding' form of graphs or figures by using the function of word clouding with R programming. Till now, the lack of accumulated data or collective intelligence about sharing economy notwithstanding, it is worth nothing that this study carried out preliminary research on conducting a time-series big data analysis from the perspective of knowledge management and processing. Thus, the results of this study can be utilized as fundamental data to help understand the academic and industrial aspects of future sharing economy-related markets or consumer behavior.

• Journal of Korean Library and Information Science Society
• /
• v.46 no.2
• /
• pp.337-366
• /
• 2015

This study had begun about the conflict between a lack of social adjustment and integration program for resident foreigners in Korea and a duplication of multicultural service in a specific area. This study was implemented through literature review and interview for analyses of the current status and problems of multicultural policy, subdivided into 3-stages model to reach the multiculturalism as multicultural policy process. The first stage suggested the unification of a channel for establishing a policies, reinforcing the functions of government ministries and the cooperation between the branches of the government. The second stage attempted to build the multicutural institutes network in a specific area unit, considering of the geographical and administrative environments. The third stage focused on the activities of individual organizations and proposed collaboration with library, school, support center for multi-cultural families, social service center, sport center, community center, and cultural facility. Additionally, 3-stages model emphasized on civic organization's role. This study was offered a meta-platform leaded by library community for sharing the information about planning and managing of multicutural programs and also mentioned significances for formulating multicutural policies. As a result, this study was presented and specified the 3-stages model to reach the multiculturalism, and verified the various considerations which have influenced the refinements of the multicultural policies as the demographic and geographical characteristics.