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Production of Monozygotic Multiplets from 8-cell Mouse Embryos through the Construction of Chimeric Embryos (Chimeric embryo의 구성을 통한 8세포기 생쥐 수정란으로부터의 일란성 다쌍자 생산)

  • 이철상;한용만
    • The Korean Journal of Zoology
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    • v.34 no.3
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    • pp.389-393
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    • 1991
  • To obtain monozygotic multiplets from 8-cell mouse embryos, we artificially constructed chimeric embryos by introducing one blastomere (donor) of 8-cell embryos of Fl hybrid (C57BL/6 X CBA) mice into 4-cell ICR mouse embryos (carrier) of which one blastomere had been previously removed with a micromanipulator. After 42 h of culture, the developmental frequency of chimeric embryos to normal morula and blastocyst was 95% (310/328). When chimeric embryos at morula or blastocvst stage were transferred to pseudopregnant mice,39%, (70/180) of them were born. Most of the offspring (56/70) were the carrier type in coat color, whereas only three of them were the donor type, of which ho were assumed to be derived from single 8-cell donor embryo. Because the two donor type mice Ivere the same sex and produced only the donor type offspring from a testcross, they are probably monozvgotic multiplets of 8-cell mouse embryos. However, since their internal chimerism was not able to be examined, it remains to be determined if their genetic constitutions are identical.

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A Study on the Dwellers' Awareness and Demand for the Pro-Environmental Elements of Interior Space of Apartment House - With homemakers with children attending elementary.middle.high schools and college - (아파트 실내공간의 친환경적 요소에 대한 거주자 인식 및 요구 - 광주광역시 초.중.고.대학생자녀를 둔 주부를 대상으로 -)

  • Yang, Hyeong-Sun;Kim, Mi-Hee
    • Proceedings of the Korean Institute of Interior Design Conference
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    • 2007.11a
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    • pp.183-186
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    • 2007
  • In modern society, sense of crisis from environmental destruction caused by rapid industrial development, economic growth and improvement of educational level and medicine made environmental preservation and comfortable residential environment a necessary and sufficient condition. Since government conducted 'green building rating system' from 2002, application of pro-environmental elements has been extended. But the concept of substantial pro-environmental housing remains the stage of complex planning yet and application of system to interior space which has the most direct influence on actual dwellers is very poor.

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Determinants of nuclear power expansion in Indonesia

  • Cho, Inkyung;Oh, Surim;Kim, Soohyeon;Ardin, Fadolly;Heo, Eunnyeong
    • Nuclear Engineering and Technology
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    • v.53 no.1
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    • pp.314-321
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    • 2021
  • As Indonesia is rich in natural resources, nuclear power remains a low priority among energy alternatives. However, Indonesia needs to introduce nuclear power to improve the atmospheric environment and to support sustainable economic growth. This study conducted a two-stage survey of logit-probit and analytic hierarchy process to analyze the perception of Indonesian energy policymakers regarding the introduction of nuclear power, the potential for change, and key decision factors. The analysis confirms that the perception of nuclear power is positive and that the willingness to expand nuclear power can improve if negative conditions, such as underdeveloped technology level, foreign aid and assistance, and safety issues are addressed. In addition, it is confirmed that the policy makers consider political/social and environmental factors to be more important for decision-making. The results of this study can give inplications and be used as a key reference for Indonesia's nuclear power policy

Application of Artificial Intelligence for the Management of Oral Diseases

  • Lee, Yeon-Hee
    • Journal of Oral Medicine and Pain
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    • v.47 no.2
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    • pp.107-108
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    • 2022
  • Artificial intelligence (AI) refers to the use of machines to mimic intelligent human behavior. It involves interactions with humans in clinical settings, and augmented intelligence is considered as a cognitive extension of AI. The importance of AI in healthcare and medicine has been emphasized in recent studies. Machine learning models, such as genetic algorithms, artificial neural networks (ANNs), and fuzzy logic, can learn and examine data to execute various functions. Among them, ANN is the most popular model for diagnosis based on image data. AI is rapidly becoming an adjunct to healthcare professionals and is expected to be human-independent in the near future. The introduction of AI to the diagnosis and treatment of oral diseases worldwide remains in the preliminary stage. AI-based or assisted diagnosis and decision-making will increase the accuracy of the diagnosis and render treatment more precise and personalized. Therefore, dental professionals must actively initiate and lead the development of AI, even if they are unfamiliar with it.

Technical Aspects of Combined Heart-Lung Transplantation

  • Ju, Min Ho;Je, Hyung Gon
    • Journal of Chest Surgery
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    • v.55 no.4
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    • pp.319-324
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    • 2022
  • Although organ transplants have become quite common, combined heart-lung transplantation (CHLTx) is unfamiliar at most institutions. While the remarkable rate of development in treatment options, such as drugs and mechanical circulatory support, have reduced the need for CHLTx, it remains the sole treatment option for a subset of patients with end-stage cardiopulmonary failure. For many cardiothoracic surgeons, CHLTx is not technically new or difficult, but it does pose challenges due to its low frequency and relative complexity. Thus, this review aims to describe the CHLTx technique in technical detail using the existing literature.

A study on practical method to estimate drag of super-cavitating underwater vehicles

  • Choi, Jung-Kyu;Kim, Hyoung-Tae
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.13 no.1
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    • pp.817-832
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    • 2021
  • In this paper, a simple practical method to estimate the drag of Super-Cavitating Underwater Vehicles (SCUV) is proposed that can obtain the drag with only principal dimensions in an initial design stage. SCUV is divided into cavitator, forebody, afterbody, base, and control fin and the drag of each part is estimated. The formulas for the drag coefficient are proposed for the disk and cone type cavitators and wedges used as control fins. The formulas are a function of cavitation number, cone or wedge angle, and Reynolds number. This method can confirm the drag characteristics of SCUV that the drag hump appears according to the coverage of the body by the cavity and the cavitator drag remains only when the entire body is covered by cavity. Applying this method to SCUV of various shapes, it is confirmed that the effects of cavitating and non-cavitating conditions, cavitator and body shape, and speed could be found.

A Novel Feature Selection Approach to Classify Breast Cancer Drug using Optimized Grey Wolf Algorithm

  • Shobana, G.;Priya, N.
    • International Journal of Computer Science & Network Security
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    • v.22 no.9
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    • pp.258-270
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    • 2022
  • Cancer has become a common disease for the past two decades throughout the globe and there is significant increase of cancer among women. Breast cancer and ovarian cancers are more prevalent among women. Majority of the patients approach the physicians only during their final stage of the disease. Early diagnosis of cancer remains a great challenge for the researchers. Although several drugs are being synthesized very often, their multi-benefits are less investigated. With millions of drugs synthesized and their data are accessible through open repositories. Drug repurposing can be done using machine learning techniques. We propose a feature selection technique in this paper, which is novel that generates multiple populations for the grey wolf algorithm and classifies breast cancer drugs efficiently. Leukemia drug dataset is also investigated and Multilayer perceptron achieved 96% prediction accuracy. Three supervised machine learning algorithms namely Random Forest classifier, Multilayer Perceptron and Support Vector Machine models were applied and Multilayer perceptron had higher accuracy rate of 97.7% for breast cancer drug classification.

A Case Study of a Patient with Cancer Fatigue Syndrome and Cancer Metastases who Received Ortho-Cellular Nutrition Therapy (OCNT) (세포교정영양요법(OCNT)을 이용한 암피로증후군, 전이암 환자 사례 연구)

  • Choi, Yeon
    • CELLMED
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    • v.12 no.5
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    • pp.4.1-4.3
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    • 2022
  • Objective: A Case Study of a Patient with Cancer Fatigue Syndrome and Cancer Metastases who Received Ortho-Cellular Nutrition Therapy (OCNT) Methods: The patient is a Korean woman aged 61 years. 13 years ago, she was diagnosed with stage 1 breast cancer and underwent surgery, chemotherapy, and radiation therapy. owever, 13 years later, the disease spread to the lungs and brain. Results: Following nutritional therapy, cancer fatigue syndrome improved. Conclusion: Nutritional therapy can be beneficial for cancer fatigue syndrome, a condition that remains undiagnosed and untreated.

Forensic age-at-death estimation using the sternal junction in Thai adults: an autopsy study

  • Adisuan Kuatrakul;Vijarn Vachirawongsakorn
    • Anatomy and Cell Biology
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    • v.56 no.3
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    • pp.367-373
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    • 2023
  • One of the main parameters in the analysis of skeletal remains in forensic anthropological cases is the estimation of age. This study aimed to investigate the correlation between age and the fusion status of the sternal junction. This cross-sectional study was carried out on 184 sterna from 94 females and 90 males obtained from known-age cadavers in the Thai population. By direct observation, the fusion stage of the manubrio-sternal and sterno-xiphoidal junctions was studied and divided into unfused and fused joints. The results showed that a large proportion of the sterna remain unfused throughout adulthood, with fusion observed in both young and old cadavers. Insignificant differences in the rate of fusion, the sexes and ages were observed. None of the sterna under 30 years of age in females and 32 years of age in males showed fusion of the manubrio-sternal and sterno-xiphoidal junctions. Based on the variability of the sternal fusions observed in this study, we highlighted a very limited role of the sternum alone in the estimation of age in the Thai population.

Emotion Analysis of Characters in a Comic from State Diagram via Natural Language-based Requirement Specifications

  • Ye Jin Jin;Ji Hoon Kong;Hyun Seung Son;R. Young Chul Kim
    • International journal of advanced smart convergence
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    • v.13 no.1
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    • pp.92-98
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    • 2024
  • The current software industry has an emerging issue with natural language-based requirement specifications. However, the accuracy of such requirement analysis remains a concern. It is noted that most errors still occur at the requirement specification stage. Defining and analyzing requirements based on natural language has become necessary. To address this issue, the linguistic theories of Chomsky and Fillmore are applied to the analysis of natural language-based requirements. This involves identifying the semantics of morphemes and nouns. Consequently, a mechanism was proposed for extracting object state designs and automatically generating code templates. Building on this mechanism, I suggest generating natural language-based comic images. Utilizing state diagrams, I apply changes to the states of comic characters (protagonists) and extract variations in their expressions. This introduces a novel approach to comic image generation. I anticipate highly productive comic creation by applying software processes to Cartoon ART.