• Title/Summary/Keyword: 생리학(生理學)

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Present and Future of Functional Cosmetics (기능성 화장품 연구 동향)

  • Chang Ih Seop
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.29 no.2 s.43
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    • pp.149-178
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    • 2003
  • 화장품 산업의 특징을 요약하면 국가의 문화의 척도를 가늠할 수 있는 산업분야로써 사회와 문화의 발달과 더불어 성장하는 산업이라고 할 수 있다. 기술적인 측면에서 보면 화장품 산업은 화학, 생물학, 생리학, 약학 등의 기초과학과 응용기술이 복합적으로 적응되는 분야로써 다품종, 소량생산의 전형적인 정밀화학공업의 한 분야이다. 따라서, 화장품 산업은 기술 집약적이고 고부가가치의 산업이다. 그 동안 약사법에 포함되어 있어서 화장품으로서의 법적 지원이 미흡하였으나, 화장품 법이 약사법으로부터 분리되어 새로운 제도 하에서 다시 한번 도약을 준비 중에 있다.

Turfgrass Responses to Water Deficit: A Review (물 부족 현상으로 인한 잔디의 생리학적 반응: 리뷰)

  • Lee, Joon-Hee
    • Asian Journal of Turfgrass Science
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    • v.25 no.2
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    • pp.125-132
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    • 2011
  • Drought is a major limiting factor in turfgrass management. Turfgrass responses to water deficit depend on the amount and the rate of water loss as well as the duration of the stress condition. This review paper was designed to understand responses such as photosynthesis, canopy spectral reflectance, plant cell, root, hormone and protein alteration when turfgrass got drought stress. Furthermore, mechanisms to recover from drought conditions were reviewed in detail. However, there are still many questions regarding plant adaptation to water deficit. It is not clear that the mechanism by which plants detect water deficit and transfer that signal into adaptive responses. Turfgrass research should focus on the best management practices such as how to enhance the ability of self-defense mechanism through understanding plant responses by environmental stress.

An Analysis of Requisite Knowledge Body of Physiology for Nursing Education (간호학 관점에서 본 생리학 지식체 내용 분석)

  • Seo Wha-Sook
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.2 no.2
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    • pp.229-237
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    • 1995
  • The purpose of this study is to define requisite content of physiology for nursing education. This study classifies the subjects of physiology into 15 areas. The areas are cell and cell membrane, body fluid, nervous system, special sense, muscular system, blood, cardiovascular system, respiratory system, urinary system, digestive system, energy metabolism, body temperature, immune system, endocrine system, and reproductive system. Each subject area is further classified into subarea, resulting in a total of 194 subarea. The importance of each subarea is measured with a 3-point scale using a questionnaire. The subjects of this study were full-time professors teaching nursing in Korean universities. The analysis of the data collected from 68 respondents is as follows. 1. The areas of physiology necessary for nursing education in the order of importance are : body fluid, blood, endocrine, immune system, body temperature, urinary system, respiratory system, digestive system, reproductive system, energy metabolism, nervous system, cardiovascular system, cell and cell membrane, muscular system, and special sense. 2. Depending on the specific areas of nursing(such as pediatric nursing, maternity nursing), the importance of each physiology area may differ. For instance, the most important area for maternity nursing is reproductive physiology, whereas one for the psychiatric nursing is neuro-physiology. 3. The importance of each physiology area does not determine the importance of its subarea. For example, while the importance of cell and cell membrane was relatively very low across the respondents from different areas of nursing science, the importance of such subarea as osmosis, diffusion, and filteration reported by most respondents were high.

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Proposal of a Mathematical Model for Variations in Repeated Measurement of Korean Medicine Clinical Variables and its Applicability to Education (한의학 변수들의 반복측정시 변동량에 대한 수학적 모형 제안 및 교육에의 적용 가능성)

  • Hayeong, Jeong;Young-Kyu, Kwon;Chang-Eop, Kim
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.36 no.5
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    • pp.193-208
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    • 2022
  • In this study, we proposed a mathematical model that can explain the source of the observed variability of repeated measurement data collected in Korean medicine clinical practice, and conducted a pilot analysis to infer the source of these variability based on our model. Mathematical model was constructed by dividing the observed variations into three components: common time-dependent variations, signal shift, and measurement error. To show the applicability of our model in real data, we analyzed 20 repeated measurement data of Korean clinical indicators in graduate students of Pusan National University Graduate School of Korean Medicine. We showed how to infer each source of variations based on our model and also showed the limitation of inference given the acquired the dataset. On the basis of objective recognition of these source of the variability, we hope that quantitative investigations on these sources for each Korean medicine clinical indicator are made in the future, so that they can be used in the clinical and educational areas of Korean medicine.