• Title/Summary/Keyword: Growing factor

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New records of three endophytic green algae from Grateloupia spp. (Rhodophyta) in Korea

  • Kim, Chansong;Kim, Young Sik;Choi, Han Gil;Nam, Ki Wan
    • ALGAE
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    • v.29 no.2
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    • pp.127-136
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    • 2014
  • Endophytic green algae growing in fronds of Grateloupia spp. were examined for infection frequency from their field populations of Jeju, Wando, and Uljin, Korea in August and September 2013. Three endophytes were isolated in laboratory culture from a G. lanceolata thallus collected in Jeju. Unialgal cultures were made from the endophytes, and their morphological characteristics were observed with light microscopy. In addition, a phylogenetic analysis based on chloroplast-encoded elongation factor tufA gene sequences was performed to identify the G. lanceolata endophytes. Three filamentous green endophytic species, Ulvella leptochaete, Blastophysa rhizopus, and Bolbocoleon piliferum were reported for the first time in Korea. General biological information for the three endophytes was also described.

Expression of Bradykinin Binding Sites within the Mammalian Kidney Tissues (신장 조직의 브라디키닌 결합부위 발현)

  • Chung, Sung-Hyun;Jung, Jee-Chang
    • YAKHAK HOEJI
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    • v.38 no.5
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    • pp.602-607
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    • 1994
  • Based upon the previous experiments showing that kidney and lung tissues of rat had relatively abundant bradykinin binding sites, we tried to characterize and determine the densities of the bradykinin binding sites in the rabbit kidney tissue and proximal tubular cells under different growing conditions. Among the kidney tissue renal medulla segments showed the highest bradykinin binding sites. To determine which growth factors are to add in the serum free culture medium to express selectively the bradykinin binding sites in the rabbit kidney proximal tubular cells, we tried so called hormone-deletion approach and in here insulin, hydrocortisone, transferrin, triiodothyronine and prostaglandin $E_1$ are examined. By performing receptor binding assay and determination of protein concentrations, we may conclude that the most required hormones in the expression for bradykinin binding sites are insulin and transferrin, and fetal bovine serum is shown to be less effective in this regard.

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Temperature & Humidity Data Analysis for automatically controlled environment needed to develop mushroom crop (버섯농작물 육성에 필요한 온·습도 자동조절을 위한 재배자료 분석)

  • Lee, Hyun-chang;Jin, Chan-Yong;Shin, Seong-yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.387-388
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    • 2016
  • Among agricultural products, environmental temperature and humidity is an important factor that affects the growth of mushrooms. Mushrooms grow well in a certain temperature range, but if mushrooms deviate from the appropriate temperature range, mushrooms growth and development quality will become worse, and even stop growing. In this paper, the status of the mushroom bacteria, the growth of the mycelium, the occurrence of the fruiting bodies and the growth of the fungus were investigated, o as to provide reference for cultivation management technology of mushroom precise cultivation.

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Structural Equation Modeling Using R: Analysis Procedure and Method (R을 이용한 구조방정식모델링: 분석절차 및 방법)

  • Kwahk, Kee-Young
    • Knowledge Management Research
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    • v.20 no.1
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    • pp.1-26
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    • 2019
  • This tutorial introduces procedures and methods for performing structural equation modeling using R. For this, we present the whole process of analyzing the structural equations model from the confirmatory factor analysis to the path diagram generation using the lavaan package, which is relatively well evaluated among the R packages supporting the structural equation modeling, together with the R program codes. Considering that research applying structural equation modeling techniques is the mainstream in a variety of social sciences, including business administration, and that there is growing interest in open source R, this tutorial focuses on researchers who are looking for alternatives to traditional commercial statistical packages and is expected that it will be a useful guidebook for them.

Recent Improvements in the Treatment of High-Risk Thyroid Cancer (예후가 좋지 않은 갑상선암에 대한 최신 치료 방침)

  • Lee, Eun Kyung
    • Korean Journal of Head & Neck Oncology
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    • v.38 no.1
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    • pp.1-9
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    • 2022
  • Thyroid cancer is one of the slow-growing tumors with excellent oncological outcomes. However, a small set of patients with unexpectedly severe outcomes are usually ignored. Anaplastic thyroid cancer (ATC) remains one of the most aggressive and lethal solid tumors. Recently, dabrafenib and trametinib combination therapy or neoadjuvant BRAF induction therapy has shown promising results. In addition, a combination of targeted drugs, immunotherapy, surgery, and radiation therapy can improve overall survival in ATC patients. Another disease for which there is no breakthrough treatment is radioactive iodine-refractory differentiated thyroid cancer (DTC). To date, multikinase inhibitors (sorafenib, lenvatinib) targeting the growth factor signaling pathway have been developed and approved as anticancer agents for patients with advanced DTC. This review includes results from multikinase inhibitors to the emergence of new target molecules, including rearrangements during transformation (RET) and tropomyosin receptor kinase (TRK).

ONTOLOGY BASED KNOWLEDGE RETRIEVAL IN CONSTRUCTION PROJECTS: FOCUSED ON THE CONSTRUCTION PROCESS

  • Kyung-won Lee;Moonseo Park;Hyunsoo Lee;Soonseok Kwon
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.949-955
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    • 2009
  • Managing knowledge effectively is a critical factor for the competitive power of a company. There are efforts to use knowledge as an important resource in many industrial areas and likewise the interest in knowledge management is growing in the construction industry. Nevertheless, there are limitations in the current capture and reuse of knowledge in the construction industry owing to the unique characteristics of the knowledge created during the processes of projects. The knowledge produced during the processes of construction projects is project-oriented, experiential and context specific and due to these characteristics the reuse of knowledge is difficult. In this research, we focus on capturing and identifying the characteristics of construction knowledge and propose a method to apply these characteristics in developing an ontology based construction knowledge retrieval system to improve construction knowledge retrieval and enhance knowledge reuse.

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Morphology and Molecular Phylogeny of Pseudocercospora fatouae Associated with Hypophyllous Leaf Mold on Fatoua villosa in Korea

  • Kui-Jae Lee;In-Young Choi;Lamiya Abasova;Joon-Ho Choi;Jung-Hee Park;Hyeon-Dong Shin
    • The Korean Journal of Mycology
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    • v.51 no.2
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    • pp.147-153
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    • 2023
  • Dark brown leaf molds growing in a vein-limited pattern have been continuously observed on the lower leaf surface of Fatoua villosa in Korea. Fifteen samples deposited in the Korea University herbarium were examined for fungal morphological characterization. Two monoconidial isolates were obtained in 2022, and molecular analysis was performed based on a combined multigene dataset of the internal transcribed spacer (ITS) region and partial actin (actA), translation elongation factor 1-alpha (tef1), and DNA-directed RNA polymerase II second-largest subunit (rpb2). Based on morphological features and molecular phylogenetic analysis, the fungus Pseudocercospora fatouae was identified. To the best of our knowledge, it is the first study reporting the presence of P. fatouae on F. villosa in Korea.

Trends in Standardization for Intelligent Computing (지능형 컴퓨팅 표준화 동향)

  • J.H. Hong;K.C. Lee
    • Electronics and Telecommunications Trends
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    • v.38 no.4
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    • pp.70-80
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    • 2023
  • In recent years, our society has shifted from an information society to an intelligent information society, in which computing has become a key factor in shaping and driving social development. In this new era of digital civilization powered by the Internet of Things, traditional data-based computing is no longer sufficient to meet the growing demand for higher levels of intelligence. Therefore, intelligent computing has emerged, reshaping traditional computing and forming new computing paradigms to promote the digital revolution in the era of the Internet of Things, big data, and artificial intelligence. Intelligent computing has greatly expanded the scope of computing through new computing theories, architectures, methodologies, systems, and applications, and it is expanding into diverse computing paradigms such as perceptual intelligence, cognitive intelligence, autonomous intelligence, and human-computer fusion intelligence. This paper introduces the concept and main features of intelligent computing and describes trends in standardization for intelligent computing within the ISO/IEC JTC 1, focusing on the technical trend report on intelligent computing that is currently under development within ISO/ IEC JTC 1/AG 2.

Organizational Learning as Catalyst to Technological Innovation

  • Kim, Jongbae;Wilemon, David
    • Asia Marketing Journal
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    • v.16 no.3
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    • pp.35-56
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    • 2014
  • With rapid change and intensive competition in the global economy, the capability to capture, absorb, develop, and transfer new knowledge is a key organizational success factor. Through effective learning, companies are more likely to develop the innovation, quality, and responsiveness essential to meet the growing expectations of customers and the disruptive threats of competitors and new technologies. In the paper the role of technological innovation and its relationship to organizational learning in managing technology-based new products are examined. Several factors which can influence the rate and effectiveness of organizational learning are identified. Barriers to learning also are discussed. Finally, several managerial implications and propositions for future research on learning and technological innovation are advanced.

Sex Differences in the Preventive Effect of Cardiovascular and Metabolic Therapeutics on Dementia

  • Sun Ah Choi;Hye Jin Jee;Katrina Joy Bormate;Yeonjae Kim;Yi-Sook Jung
    • Biomolecules & Therapeutics
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    • v.31 no.6
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    • pp.583-598
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    • 2023
  • Dementia is a clinical syndrome characterized by progressive impairment of cognitive and functional abilities. As currently applied treatments for dementia can only delay the progression of dementia and cannot fundamentally cure it, much attention is being paid to reducing its incidence by preventing the associated risk factors. Cardiovascular and metabolic diseases are well-known risk factors for dementia, and many studies have attempted to prevent dementia by treating these risk factors. Growing evidence suggests that sex-based factors may play an important role in the pathogenesis of dementia. Therefore, a deeper understanding of the differences in the effects of drugs based on sex may help improve their effectiveness. In this study, we reviewed sex differences in the impact of therapeutics targeting risk factors for dementia, such as cardiovascular and metabolic diseases, to prevent the incidence and/or progression of dementia.