• Title/Summary/Keyword: Past trends

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Oral and Human Microbiome Research

  • Chung, Sung-Kyun
    • Journal of dental hygiene science
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    • v.19 no.2
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    • pp.77-85
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    • 2019
  • In the past gut microbiome has been the main focus of microbiome research. Studies about the microbiome inside oral cavities and other organs are underway. Studies about the relationship between noninfectious diseases and periodontal diseases, and the negative effects of harmful oral microbes on systemic health have been published in the recent past. A lot of attention is being paid towards fostering a healthy oral microbial ecosystem. This study aimed to understand the roles and effects of the microbiome inside the human body can potentially help cure various diseases including inflammatory bowel diseases with no known cure such as Crohn's disease, atopic dermatitis, obesity, cancer, diabetes, brain diseases and oral diseases. The present study examined technological trends in the correlation between the human microbiome and diseases in the human body, interactions between the human body's immunity, the metabolic system, and the microbiome, and research trends in other countries. While it has been proven that human microbiome is closely correlated with human diseases, most studies are still in the early stage of trying to compare the composition of microbiomes between health and patient groups. Since the oral environment is a dynamic environment that changes due to not only food intake but also other external factors such as lifestyle, hygiene, and drug intake, it is necessary to continue in-depth research on the microbiome composition characteristics to understand the complex functions of oral microorganisms. Analyzing the oral microbiome using computational technology may aid in disease diagnosis and prevention.

Satellite-based Drought Forecasting: Research Trends, Challenges, and Future Directions

  • Son, Bokyung;Im, Jungho;Park, Sumin;Lee, Jaese
    • Korean Journal of Remote Sensing
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    • v.37 no.4
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    • pp.815-831
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    • 2021
  • Drought forecasting is crucial to minimize the damage to food security and water resources caused by drought. Satellite-based drought research has been conducted since 1980s, which includes drought monitoring, assessment, and prediction. Unlike numerous studies on drought monitoring and assessment for the past few decades, satellite-based drought forecasting has gained popularity in recent years. For successful drought forecasting, it is necessary to carefully identify the relationships between drought factors and drought conditions by drought type and lead time. This paper aims to provide an overview of recent research trends and challenges for satellite-based drought forecasts focusing on lead times. Based on the recent literature survey during the past decade, the satellite-based drought forecasting studies were divided into three groups by lead time (i.e., short-term, sub-seasonal, and seasonal) and reviewed with the characteristics of the predictors (i.e., drought factors) and predictands (i.e., drought indices). Then, three major challenges-difficulty in model generalization, model resolution and feature selection, and saturation of forecasting skill improvement-were discussed, which led to provide several future research directions of satellite-based drought forecasting.

The Analysis of Fashion Trend Cycle using Big Data (패션 트렌드의 주기적 순환성에 관한 빅데이터 융합 분석)

  • Kim, Ki-Hyun;Byun, Hae-Won
    • Journal of the Korea Convergence Society
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    • v.11 no.12
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    • pp.113-123
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    • 2020
  • In this paper, big data analysis was conducted for past and present fashion trends and fashion cycle. We focused on daily look for ordinary people instead of the fashion professionals and fashion show. Using the social matrix tool, Textom, we performed frequency analysis, N-gram analysis, network analysis and structural equivalence analysis on the big data containing fashion trends and cycles. The results are as follows. First, this study extracted the major key words related to fashion trends for the daily look from the past(1980s, 1990s) and the present(2019 and 2020). Second, the frequence analysis and N-gram analysis showed that the fashion cycle has shorten to 30-40 years. Third, the structural equivalence analysis found the four representative clusters. The past four clusters are jean, retro codi, athleisure look, celebrity retro and the present clusters are retro, newtro, lady chic, retro futurism. Fourth, through the network analysis and N-gram analysis, it turned out that the past fashion is reproduced and evolves to the current fashion with certain reasoning.

Modeling Domestic Transportation Sector Using Global Change Assessment Model (GCAM을 이용한 국내 수송부문 모델링)

  • JEON, Seungho;KIM, Suduk
    • Journal of Korean Society of Transportation
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    • v.35 no.2
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    • pp.91-104
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    • 2017
  • In this study, we discuss the modeling of domestic transport sector using GCAM(Global Change Assessment Model). The GCAM is one of integrated assessment models widely used in internationally modeling community, and applied for the evaluation of IPCC 5th Report. Nevertheless, it is noted that there are a considerable number of problems in its application to domestic transport sector. First, the base year information of GCAM for detailed transportation service demand is found not consistent with national statistics. Second, the transportation sector simulation results do not properly reflect the past trends of service demand. Thus, the base year service demand is carefully matched with the detailed national statistics. In addition, the existing models were checked and modified so that the simulation results of service demand can accurately reflect past trends of national statistics. As a result, it is reported in detail how the current GCAM simulation results are corrected and how the trend of past transportation sector service demands is properly reflected. This study is expected to be useful as a basic tool for future scenario analysis for transportation policy, technology evaluation and greenhouse gas reduction measures.

Temperature Fluctuations Over the Past 2000 Years in Western Mongolia

  • Pederson, Neil;Jacoby, Gordon C.;D′Arrigo, Rosanne.;Frank, David;Buckley, Brendan;Nachin, Baatarbileg;Chultem, Dugarjav;Renchin, Mijiddorj
    • The Korean Journal of Quaternary Research
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    • v.17 no.2
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    • pp.157-159
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    • 2003
  • Much of northern Asia is lacking in high-resolution palaeoclimatic data coverage. This vast region thus represents a sizeable gap in data sets used to reconstruct hemispheric-scale temperature trends for the past millennium. To improve coverage, we present a regional-scale composite of four tree-ring width records of Siberian pine and Siberian larch from temperature-sensitive alpine timber-line sites in Mongolia. The chronologies load closely in principal components analysis (PCA) with the first eigenvector accounting for over 53% of the variance from ad 1450 to 1998. The 20-year interval from 1974 to 1993 is the highest such growth period in this composite record, and 17 of the 20 highest growth years have occurred since 1946. Thus these trees, unlike those recently described at some northern sites, do not appear to have lost their temperature sensitivity, and suggest that recent decades have been some of the warmest in the past 500 years for this region. There are, however, comparable periods of inferred, local warmth for individual sites, e.g., in 1520-1580 and 1760-1790. The percent common variance between chronologies has increased through time and is highest (66.1%) in the present century. Although there are obvious differences among the individual chronologies, this result suggests a coherent signal which we consider to be related to temperature. The PCA scores show trends which strongly resemble those seen in recent temperature reconstructions for the Northern Hemisphere, very few of which included representation from Eurasia east of the Ural Mountains. The Mongolia series therefore provides independent corroboration for these reconstructions and their indications of unusual wanning during the twentieth century.

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An analysis of the construction elements of the "oversized" look in fashion collection since 2015 (2015년도 이후 패션 컬렉션에 나타난 오버사이즈 룩의 의복구성 특성 분석)

  • Kim, Kyung-A
    • The Research Journal of the Costume Culture
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    • v.27 no.5
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    • pp.433-448
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    • 2019
  • Oversized fashion is again in the spotlight due to the influence of retro fashion. This has created new fashion trends with methods different from those of the past. This analysis examines recent trends by sorting these looks according to new and different methods of judging their appearance. A new categorization of the oversized look and its configurations has been created, one which separates "big" looks, partial changes, and layered looks. This research was based on historical review and previous studies. Three thousand one hundred thirty-six photos of oversized looks that have appeared in collections over the past five years were gathered, and their appearance was categorized according to type. The categorization results showed that big looks (55.1%) were most prevalent, followed by partial alterations (36.35%), and layered looks (8.45%). In comparison to prior oversized clothing production, new permutations of the "Big" look expanded the silhouettes of torso, shoulders, neckline and collar. Partial changes have expanded from the broadened shoulders of the 1980s. Today these styles expand the shoulders and armholes vertically or horizontally, which dramatically exaggerates the sleeves and collar. The layered look no longer simply features overlapping layers but takes the form of over-layering through cuts and insertions. Through such analysis it is clear that modern oversized looks break away from the simple expanded forms and production methods of the past. They now attempt to realize an exaggerated beauty of form regarding each clothing component and also maximize decorative effects through innovative drafting or sewing methods.

Projection of Temporal Trends on Drought Characteristics using the Standardized Precipitation Evapotranspiration Index (SPEI) in South Korea (표준강수증발산지수를 활용한 미래 가뭄특성의 시계열 변화전망)

  • Nam, Won-Ho;Hayes, Michael J.;Wilhite, Donald A.;Svoboda, Mark D.
    • Journal of The Korean Society of Agricultural Engineers
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    • v.57 no.1
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    • pp.37-45
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    • 2015
  • Recent droughts in South Korea have had large economic and environmental impacts across the country. Changes in rainfall and hydrologic patterns due to climate change can potentially increase the occurrence of extreme droughts and affect the future availability of water resources. Therefore, it is necessary to evaluate drought vulnerability for water resources planning and management, and identify the appropriate mitigation actions to conduct a drought risk analysis in the context of climate change. The objective of this study is changes in the temporal trends of drought characteristics in South Korea to examine drought impacts under climate change. First, the changes of drought occurrence were analyzed by applying the Standardized Precipitation Evapotranspiration Index (SPEI) for meteorological data on 54 meteorological stations, and were analyzed for the past 30 years (1981-2010), and Representative Concentration Pathways (RCP) climate change scenarios (2011-2100). Second, the changes on the temporal trends of drought characteristics were performed using run theory, which was used to compare drought duration, severity, and magnitude to allow for quantitative evaluations under past and future climate conditions. These results show the high influence of climate change on drought phenomenon, and will contribute to water resources management and drought countermeasures to climate change.

Analysis of Trends of Mathematics Education in Korean Classes Based on TIMSS (TIMSS 결과에 나타난 우리나라 교실내 수학 교육의 변화 추이 분석)

  • Kim, Sun Hee;Kim, Soojin
    • Journal for History of Mathematics
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    • v.25 no.4
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    • pp.139-155
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    • 2012
  • This study researched the trends of mathematics education in Korean mathematics class in the aspects of teaching and learning method, assessment and teachers' competency based on TIMSS 1995, 1999, 2003 and 2007. For the mathematics teaching and learning method, the differentiated instruction rate is higher. The activities focused on students not teacher are more, and frequencies of homework are higher but time spent for homework is less than the past. Especially, mathematics teachers link homeworks to instructions. And mathematics teachers uses more multiple choice items and more various assessment methods than the past. The average age of mathematics teachers tends to become older since 1995. The major of mathematics teacher are primarily mathematics and mathematics education. Korean mathematics teachers have less self-esteem for teaching mathematics contents and have more various interactions with peers. The rate of participating in-service training is more or less according to training contents.

A Study on Domestic Research Trends (2001-2020) of Forest Ecology Using Text Mining (텍스트마이닝을 활용한 국내 산림생태 분야 연구동향(2001-2020) 분석)

  • Lee, Jinkyu;Lee, Chang-Bae
    • Journal of Korean Society of Forest Science
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    • v.110 no.3
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    • pp.308-321
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    • 2021
  • The purpose of this study was to analyze domestic research trends over the past 20 years and future direction of forest ecology using text mining. A total of 1,015 academic papers and keywords data related to forest ecology were collected by the "Research and Information Service Section" and analyzed using big data analysis programs, such as Textom and UCINET. From the results of word frequency and N-gram analyses, we found domestic studies on forest ecology rapidly increased since 2011. The most common research topic was "species diversity" over the past 20 years and "climate change" became a major topic since 2011. Based on CONCOR analysis, study subjects were grouped intoeight categories, such as "species diversity," "environmental policy," "climate change," "management," "plant taxonomy," "habitat suitability index," "vascular plants," and "recreation and welfare." Consequently, species diversity and climate change will remain important topics in the future and diversifying and expanding domestic research topics following global research trendsis necessary.

Research trends in the Korean Journal of Emergency Medical Services : Examining the articles published in the past 10 years (한국응급구조학회지의 연구동향 분석 : 최근 10년간의 게재논문을 중심으로)

  • Kang, Min-Ju;Jeon, Hyuk-Jin;Ju, Jeong-Mi
    • The Korean Journal of Emergency Medical Services
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    • v.23 no.1
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    • pp.147-155
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    • 2019
  • Purpose: This study aimed to analyze the research trends of the articles published in the Korean Journal of Emergency Medical Services in the past 10 years. Methods: A total of 236 articles published between 2009 and 2018 were analyzed. For analysis of the collected data, frequencies and percentages were calculated using SPSS 23 (IBM, Armonk, NY, USA). Results: Most of the articles (47.9%, 113) were authored by 2 researchers, and most first authors were affiliated with university (81.4%, 192). Most of the articles were presented with 3 key words (34.3%, 81), and the most studied subjects of emergency medical technology was clinical researches (26.7%, 63). The majority of the research was performed quantitatively (99.6%, 235) and retrospectively (72.5%, 171), and research design was the most surveyed (68.2%, 161). For the majority of articles, the size of the sample was less than 100 (35.6%, 84), and the study participants were students (38.1%, 91). Only 12.7% (40) of the articles were reviewed by institutional review boards. Conclusion: In future studies on emergency medical technology, active participation of field emergency workers is needed. In addition, qualitative and prospective studies should be conducted on various types of research subjects.