• Title/Summary/Keyword: 종합법

Search Result 1,648, Processing Time 0.028 seconds

Antioxidant Activities of Protaetia brevitarsis Larvae Fermented by Lactobacillus acidophilus (유산균 발효가 흰점박이꽃무지(Protaetia brevitarsis) 유충의 항산화활성에 미치는 영향)

  • Min Jeong, Park;Soo Jeong, Cho
    • Journal of Life Science
    • /
    • v.32 no.11
    • /
    • pp.890-898
    • /
    • 2022
  • This study was carried out to evaluate the effect of fermentation by Lactobacillus acidophilus on the antioxidant activity of Protaetia brevitarsis larvae fed with mushroom substrates (king oyster mushroom). The total polyphenol content of the P. brevitarsis larvae extracts (PLEs) (93.33±0.98 mg GAEs/extract g) was higher than that of the fermented P. brevitarsis larvae extracts (FPLEs) (65.02±1.32 mg GAEs/extract g). The flavonoid contents of the PLEs and FPLEs were 18.3±1.57 QEs mg/extract g and 17.69±0.95 QEs mg/extract g, respectively. The DPPH radical scavenging activity showed no significant difference between the PLEs and FPLEs at a concentration of 2-4 mg/ml. However, at a concentration of 8 mg/ml or more, the DPPH radical scavenging activity of the FPLEs was higher than that of the PLEs. The reducing power of the FPLEs was also higher than that of the PLEs, and more than twice as high at a concentration of 1.6 mg/ml or more. The ORAC value of the FPLEs (79.22±0.72 μM TEs/extract g) was higher than that of the PLEs (74.34±0.37 μMTEs/extract g). A WST-1 assay of the RAW 264.7 cells indicated that the PLEs and FPLEs showed no cytotoxicity.

A Comparative Bibliometric Analysis of Substance Use Disorder Research in Social Science, Natural Science and Technology, and Multidisciplinary Field (사회과학, 자연과학기술 및 융복합 분야의 약물중독 연구에 대한 계량서지학적 비교 분석 연구)

  • Nam, Dongin;Park, Ji-Hong
    • Journal of the Korean Society for information Management
    • /
    • v.39 no.2
    • /
    • pp.203-232
    • /
    • 2022
  • Drug addiction or substance use disorder is continuously observed worldwide for its risks and prevalence. In this context, numerous studies have been conducted regarding this issue. However, bibliometric analysis related to drug addiction is insufficient. In particular, it is difficult to find research that utilizes a macro-level bibliographic approach that comprehensively reflects various characteristics related to drug addiction. In this study, to reflect the multidimensional features of drug addiction, research trends in drug addiction in social science, natural science, and multidisciplinary studies were compared and analyzed. This study collected drug addiction research articles from 2002 to 2021 by searching from the Web of Science, and classified academic disciplines based on SCI(E) and SSCI information. Author keyword co-occurrence analysis was also conducted, which provided confirmation that natural science mainly studied psychoactive substances and the reward system in the brain, while drug addiction studies reflecting demographic characteristics were conducted in the domain of social science. In the multidisciplinary field, all of the above topics were covered. Author co-citation analysis was also employed, which showed that there are superstars (i.e., authors who receive a rigorous amount of citation) in the field of natural science, while in the social science domain, authors were highly cited not only at the individual level but also at the institutional level.

Measures to improve the legal system for commercialization of sand dams (샌드댐 상용화를 위한 법제도 개선 방안)

  • Shim, Young-Gyoo;Chung, Il-Moon;Kim, Min-Gyu
    • Journal of Korea Water Resources Association
    • /
    • v.55 no.8
    • /
    • pp.635-643
    • /
    • 2022
  • Attempts are being made to use the sand dam as an alternative water resource securement facility by installing and operating sand dams in valleys, where water intake capacity is extremely limited, in areas with limited water supply in the upstream watershed of Korea. In the case of some countries in Africa, where sand dams are known to be most actively installed and used, it is difficult to find examples of establishing and applying a separate legal system for sand dams. A sand dam is a kind of groundwater dam, and in view of its concept, structural and technical form and characteristics, purpose, use, and function, it will be said that it has the legal character and status as a facility for securing groundwater resources specified in the current 「Ground Water Act」. Interpretation and application of regulations on facilities for securing groundwater resources also supports this. Therefore, it is legal and realistic to promote and implement the sand dam project as one of the installation and management projects for securing underground water resources based on the 「Ground Water Act」.

Meteorological Disasters and Damage Reducing Strategies in Oilseed Crops (유지작물의 기상재해와 피해 경감 대책)

  • Lee, Bong-Ho;Bang, Jin-Ki;Park, Hee-Woon;Lee, Jung-Il;Park, No-Jin
    • KOREAN JOURNAL OF CROP SCIENCE
    • /
    • v.36 no.5
    • /
    • pp.445-458
    • /
    • 1991
  • The literatures on meteorological disasters of which reported in Korea and abroad were reviewed and discussed in oilseed crops for refer to stable production and quality improvement of the crops. From the reviews, it was clarified that much of the reported disasters are almost same kinds as the other crops like reported in soybean and rice. However much of the disasters reported in oilseed crops were unconfirmed on their injury mechanisms or damage rate on yield loss and quality deteriorate comparing to the reports on soybean or rice. Among the meteorological disasters reported in oilseed crops, the disaters on sesame and groundnut were the most frequent in the numbers of report and water-flooding damage, drought damage, lodging damage in the kinds of disasters. Such kinds of the above disasters were leading to 90% yield loss in the most serious situation. To reduce the damage of meteorological disasters, it was suggested that the variety improvement of which highly resistant, and vinyl-mulching culture would be also an way to reduce water -logging and drought damage in sesame and groundnut in cultural practice. Further, it was indicated that the emphasis must be put on the oilseed crops to investigate and clarify the damage mechanisms, and reducing method of meteorological disasters in breeding and cultural practice.

  • PDF

Formulation Optimization Study of Carvedilol and Ivabradine Fixed-dose Combination Tablet Using Full-factorial Design (완전요인배치법을 이용한 carvedilol 및 ivabradine 이층정 복합제 내 carvedilol 속방층 제형 최적화 연구)

  • Yu Lim Song;Kang Min Kim
    • Journal of Life Science
    • /
    • v.33 no.3
    • /
    • pp.268-276
    • /
    • 2023
  • This study was conducted to optimize the formulation conditions of the immediate-release layer of carvedilol in the development of a two-layer tablet formulation for carvedilol and ivabradine. Using a 24+3 full-factorial design of experiments, excipients (microcrystalline cellulose, citric acid, and crospovidone) of the carvedilol immediate-release layer (wet granulation part) and process parameters for the tablet compression process (main compression) were optimized, and seven types of each dependent variable (assay, content uniformity, hardness, friability, disintegration, and dissolution [pH 1.2 and 6.8]) were evaluated using design expert software. The analysis of variance results confirmed that the main compression has a significant effect on hardness, friability, and disintegration time and that microcrystalline cellulose has a major effect on friability and dissolution. In addition, it was confirmed that citric acid has a significant effect on friability. Crospovidone affects friability and dissolution. According to the design space from the design of the experiment results, the optimized range is microcrystalline cellulose (~18.0-32.0 mg), citric acid (~0.5-12 mg), and main compression (~615-837 kgf). Consequently, this study confirmed the availability of manufacturing the carvedilol immediate-release layer in which all risk factors evaluated in the initial risk assessment are removed.

A Study of the Giftedness Expression Mechanism of Young-sil Jang through Gagne's DMGT Model (Gagne의 DMGT 모형을 통한 장영실의 영재성 발현 기제 연구)

  • Ji-Young Choi;Dong-Hyun Chea
    • Journal of the Korean Society of Earth Science Education
    • /
    • v.16 no.2
    • /
    • pp.234-246
    • /
    • 2023
  • This study uses Gagne's 'Differentiated Model of Giftedness and Talent (DMGT)' to collect and extract major life events of Jang Young-sil, and to investigate how giftedness was formed and developed in his life history, and what factors enabled him to demonstrate his talent in the field of science and technology. In addition, based on the framework of Gagne's Differentiation Model for Giftedness and Talent(DMGT), we analyzed the mechanism of giftedness manifestation of Jang Young-sil and sought to explore the direction of gifted education based on this. To sum up the results of the study, first, in Giftedness(G), it was found that Jang Young-sil had excellent scientific and technological skills. Second, motivation, determination, self-management, and personality factors that constitute the inner catalyst(IC) of the individual have had an impact on the development of giftedness. Third, it influenced the social environment and peer giftedness in environmental catalysis(EC). Fourth, the catalyst of chance or chance(C) was the factor that had the greatest influence on Jang Young-sil's manifestation of giftedness. Fifth, informal learning and non-institutional formal learning in the developmental process(LP) influenced the manifestation of giftedness. In this way, the talent development factors of people such as Jang Young-sil provide implications for the need to understand the manifestation mechanism of giftedness in the future, develop examination tools that can detect giftedness, and develop customized programs that can develop giftedness.

Composition and Attributes of Modeling Instructions and Factors of Teacher Competence in Elementary Science Classes: A Qualitative Meta-Analysis (초등과학 모델링 수업의 구성과 속성 및 교사 역량 요인에 대한 질적 메타 분석)

  • Kim, Hyun-Ju;Lim, Chae-Seong;Lee, Ki-Young
    • Journal of Korean Elementary Science Education
    • /
    • v.42 no.3
    • /
    • pp.434-454
    • /
    • 2023
  • This study explored the composition and attributes of modeling instructions and factors of teacher competence in elementary science classes. The study also examined educational research papers regarding modeling instruction cases in elementary schools and elementary teachers' perceptions of modeling instructions using qualitative meta-analysis, which can integrate findings from qualitative research. This investigation led to creating a small group to compose modeling instructions. Furthermore, the modeling approach was demonstrated to go through the process of generating, evaluating, and modifying the model. The attributes of modeling instructions can be divided into factors that affect modeling instructions and competence factors necessary for students participating in modeling instructions. The factors affecting modeling instructions included "small group interactions" and "time limitation in classes." The competence factors necessary for students participating in modeling instructions included "scientific knowledge," "meta-modeling knowledge," and the "ability to control emotions." The teacher competence factors in modeling instructions regarding knowledge, function, and attitude were explored. The teacher competence factors in elementary modeling instructions included "meta-modeling knowledge," "knowledge of modeling assessment," "emotional support for students," and the "awareness of modeling value." Accordingly, this study offered some recommendations for effective modeling instructions.

The effect of urban conditions, external influences, and O&M efficiency on urban water system from the perspective of water-energy nexus (도시 여건, 외부 영향 및 운영관리 효율이 넥서스 관점에서 도시 물순환 시스템에 미치는 영향)

  • Choi, Seo Hyung;Shin, Bongwoo;Shin, Eunher
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2022.05a
    • /
    • pp.31-31
    • /
    • 2022
  • 기후변화, 물 부족, 인구 증가와 도시화로 인한 물 수요 증가, 수질 악화, 노후화된 인프라와 같은 세계적인 물문제의 증가로 인해, 도시 물순환 시스템 관리는 더 큰 어려움을 겪고 있다. 취수, 도·송수, 정수처리, 배·급수, 용수 사용, 하수 집수, 하수 처리, 재이용 및 배출 과정을 포함하는 도시 물순환 시스템의 과정은 매우 에너지 집약적인 활동이며, 이와 같은 에너지 소비는 탄소 배출과 양의 직접적인 상관관계가 있다. 따라서 자원 관리 및 데이터 관리를 최적화하기 위해 넥서스 관점의 접근법이 도시 물순환 시스템에 점차적으로 도입되고 있는 추세이다. 도시 물순환 시스템 넥서스에서는 일반적으로 에너지 인텐시티로 표현되는 물을 위한 에너지를 이해하는 것이 중요하다. 에너지 인텐시티의 차이는 기후(연평균 강수량, 단기 기후 변동성, 기후패턴 등), 지리적 특징(표고차, 평지비, 위치 등), 시스템 특성(총급수량, 인구, 인구밀도, 관로 연장 등) 및 운영관리 효율(수압, 누수율, 에너지 효율 등)과 밀접한 관계가 있다. 그리고 도시 물순환 시스템에서 에너지 관리를 증진시킨 방안은 유지관리 효율 개선(물·에너지 관리전략, 물손실 관리, 수요 관리 및 수요 대응 등), 신기술 도입, 그리고 에너지 회수로 나누어진다. 본 연구에서는 기존 문헌의 자료를 분석하여 도시 물순환 시스템의 각 공정별 에너지 인텐시티를 분석하였으며, 시스템 다이나믹스를 적용하여 다양한 도시 여건(인구, lpcd, 누수율, 취수원, 에너지 인텐시티)에서 외부영향(기후변화, 도시화)과 운영효율 변동(운영효율 향상, 신시술 도입)에 따른 도시 물순환 시스템 내 자원 사용 및 이동을 분석하였다. 에너지 인텐시티는 전체 도시 물순환 시스템, 상수 시스템, 하수시스템에서 각각 2.334 kWh/m3, 1.029 kWh/m3, 1.024 kWh/m3를 나타내었으며, 용수사용, 담수화, 재이용 과정에서는 매우 높은 값이 나타났다. 에너지 인틴시티의 값은 외부 영향에 크게 좌우되는 것으로 분석되었으며, 운영효율의 변동에 따라서 물 및 에너지 사용량은 변화하였지만 에너지 인텐시티의 변동은 크지 않았다. 이에 따라 도시 물순환 시스템을 넥서스 관점에서 관리하기 위해서는 에너지 인텐시티 이외에 물 및 에너지 사용량, 유수수량 관점 에너지 인텐시티, 사용수량 관점 에너지 인텐시티를 종합적으로 고려하는 것이 필요하다.

  • PDF

Application and Usability Analysis of Local Climate Zone using Land-Use/Land-Cover(LULC) Data (토지이용/피복(LULC) 데이터를 이용한 도시기후구역의 적용가능성 분석)

  • Seung-Won KANG;Han-Sol MUN;Hye-Min PARK;Ju-Chul JUNG
    • Journal of the Korean Association of Geographic Information Studies
    • /
    • v.26 no.1
    • /
    • pp.69-88
    • /
    • 2023
  • Efficient spatial planning is one of the necessary factors to successfully respond to climate change. And researchers often use LULC(Land-Use/Cover) data to conduct land use and spatial planning research. However, LULC data has a limited number of grades related to urban surface, so each different urban structure appearing in several cities is not easily analyzed with existing land cover products. This limitation of land cover data seems to be overcome through LCZ(Local Climate Zone) data used in the urban heat island field. Therefore, this study aims to first discuss whether LCZ data can be applied not only to urban heat island fields but also to other fields, and secondly, whether LCZ data still have problems with existing LULC data. Research methodology is largely divided into two categories. First, through literature review, studies in the fields of climate, land use, and urban spatial structure related to LCZ are synthesized to analyze what research LCZ data is currently being used, and how it can be applied and utilized in the fields of land use and urban spatial structure. Next, the GIS spatial analysis methodology is used to analyze whether LCZ still has several errors that are found in the LULC.

Prediction of Germination of Korean Red Pine (Pinus densiflora) Seed using FT NIR Spectroscopy and Binary Classification Machine Learning Methods (FT NIR 분광법 및 이진분류 머신러닝 방법을 이용한 소나무 종자 발아 예측)

  • Yong-Yul Kim;Ja-Jung Ku;Da-Eun Gu;Sim-Hee Han;Kyu-Suk Kang
    • Journal of Korean Society of Forest Science
    • /
    • v.112 no.2
    • /
    • pp.145-156
    • /
    • 2023
  • In this study, Fourier-transform near-infrared (FT-NIR) spectra of Korean red pine seeds stored at -18℃ and 4℃ for 18 years were analyzed. To develop seed-germination prediction models, the performance of seven machine learning methods, namely XGBoost, Boosted Tree, Bootstrap Forest, Neural Networks, Decision Tree, Support Vector Machine, PLS-DA, were compared. The predictive performance, assessed by accuracy, misclassification, and area under the curve (0.9722, 0.0278, and 0.9735 for XGBoost, and 0.9653, 0.0347, and 0.9647 for Boosted Tree), was better for the XGBoost and decision tree models when compared with other models. The 54 wave-number variables of the two models were of high relative importance in seed-germination prediction and were grouped into six spectral ranges (811~1,088 nm, 1,137~1,273 nm, 1,336~1,453 nm, 1,666~1,671 nm, 1,879~2,045 nm, and 2,058~2,409 nm) for aromatic amino acids, cellulose, lignin, starch, fatty acids, and moisture, respectively. Use of the NIR spectral data and two machine learning models developed in this study gave >96% accuracy for the prediction of pine-seed germination after long-term storage, indicating this approach could be useful for non-destructive viability testing of stored seed genetic resources.