• Title/Summary/Keyword: Scientific Revolution

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Scientific Revolution in the Lab: Mad Scientists' Labs in Victorian Novels (실험실의 과학 혁명-빅토리아시대 소설에 나타난 '미친' 과학자들의 실험실)

  • Choo, Jae-uk
    • Journal of English Language & Literature
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    • v.58 no.2
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    • pp.305-325
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    • 2012
  • It is by the mad scientists that the ontological and epistemological turn was made in that scientific era. They achieved a scientific revolution although they were regarded as eccentric, comic, unsound, and evil ones in the dark and dismal labs. Likewise, a scientist who would like to create an anomaly, something novel and abnormal, tended to be considered mad and treated as such either because of his scientific theory which differed from those of other scientists or because his obstinate methodology was often blamed for its immorality and profaneness. Despite the fanciful purpose and the anomalous way in which the mad scientists did their experiments, these were attempts to explore new scientific terrain and find something new or unexpected, which often raised controversies between the old paradigm and the new one. As Thomas Kuhn manifests, subsequently, "an older paradigm is replaced in whole or in part by an incompatible new one" and then, "there must be a conflict between the paradigm that discloses anomaly and the one that later renders the anomaly lawlike." In that sense, Frankenstein's, Jekyll's, and Moreau's eerie challenges can be interpreted as efforts to achieve the ambitious goal of solving the scientific mysteries of the world in such unfavorable environmental conditions as specified in the three novels.

A Development Direction for Scientific Guard Systems Applying 3 Elements of Revolution in Military Affairs (군사혁신 3요소를 적용한 과학화 경계시스템 발전방향)

  • Young-ho Kwon;June-Seung Yoo;Sung-Jun Park;Hyun-Kyu Choi;Sang-Keun Cho;Sang-Hyuk Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.249-255
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    • 2023
  • In this study, based on the awareness of the problem of current scientific guard systems of ROKA, We suggested a develoment direction for scientific guard system applying 3 elements of Revolution in Military Affairs by 2035. To this end, we analyzed challenges of current scientific guard systems and reviewed similar cases in other countries. Based on this, We suggested a develoment direction for scientific guard system, comprised of the concept of gurad operation, the organization of guard troops, and MUM-T(manned and unmanned teaming) by applying the framework of 3 elements of military innovation (operation concept, organization, weapon system). In order to overcome challenges at hand, we need a innovative scientific guard systems that applies MUM-T based on high technology along with agile&smart guard troops.

Analyzing Causes of Seasonal Changes Displayed by Primary Teachers at the Equator

  • Chae, Dong-Hyun
    • Journal of The Korean Association For Science Education
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    • v.29 no.7
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    • pp.759-766
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    • 2009
  • This study was conducted to examine 10 Belizean teachers' conceptions about the causes of seasonal change. This research was conducted with an integrated method using a open ended written test and an interview which included a drawing. There are four categories, explained by the teachers, as the causes of seasonal changes. They are; climate, rotation of the earth on its axis, revolution of the earth around the sun, and the tilting of earth's axis as it revolves. Most teachers misunderstood that the first of three categories was responsible for seasonal change. Second, it is more effective to use the integrated method shown in this research than to use only a written test when seriously investigating the causes and understanding of seasonal change. Third, 8 out of 10 teachers could not correctly explain the causes of seasonal change. The reasons for seasonal change seemed to be hard for the informants to understand even though it was taught in elementary, middle, high school, and college elective classes.

The Distribution of Technological Innovation & Environmental Policy against COVID-19: Perspectives and Challenges

  • CHOI, Choongik
    • Journal of Distribution Science
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    • v.20 no.8
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    • pp.115-121
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    • 2022
  • Purpose: This article aims to explore the distribution of technological innovation and environmental policy challenges to respond to COVID-19. The study also attempts to tackle a paradigm shift in science and technology policies against the pandemic and a desirable direction for environmental policies. The COVID-19 pandemic has been the one that rapidly changed global people's lifestyle. For the spread of a terrible infectious disease could not be avoided, regardless of a highly industrialized society. Research design, data and methodology: This study basically employs a qualitative approach as a methodology. This study is based on the fact that environmental pollution, various natural disasters continuously occur, and there are many unforeseeable parts, despite remarkable development of scientific technology, and that the circumstances are becoming more complex. Results: This study noted that scientific technology civilization formed due to industrial revolutions can deteriorate environment and increase environmental threat factors. As an alternative to this, this study investigates alternative discussions on how the 4th Industrial Revolution can help scientific technology and human environment to harmoniously coexist and develop. Conclusions: It implies that this study focuses on the possibility of overcoming this crisis through science and technology innovation, although mankind is in crisis of COVID-19 due to excessive human development.

On Induction and Mathematical Induction (귀납법과 수학적 귀납법)

  • Koh, Youngmee
    • Journal for History of Mathematics
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    • v.35 no.2
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    • pp.43-56
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    • 2022
  • The 21st century world has experienced all-around changes from the 4th industrial revolution. In this developmental changes, artificial intelligence is at the heart, with data science adopting certain scientific methods and tools on data. It is necessary to investigate on the logic lying underneath the methods and tools. We look at the origins of logic, deduction and induction, and scientific methods, together with mathematical induction, probabilistic method and data science, and their meaning.

R&D Transitions in Response to Digital Transformation in Korea

  • Lim, Jongyeon;Lee, BangRae;Won, Dongkyu
    • Journal of Information Science Theory and Practice
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    • v.10 no.spc
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    • pp.96-111
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    • 2022
  • With the rapid development of the Fourth Industrial Revolution and digital transformation, scientific and technological innovation measures are being devised to overcome Korea's low-growth, high-cost structure. Accordingly, by examining the R&D investment evaluation system of R&D PIE (R&D Platform for Investment and Evaluation), which has been promoted by the Korean government in response to the Fourth Industrial Revolution, from the perspective of R&D transformation, this study aims to explore a new path for a sustainable national science and technology innovation system following digital transformation. In particular, from the perspective of R&D PIE, a MLP (Multi-level Perspective), which had been conducted as an abstract theoretical study, was attempted with specific cases and analysis for each of the three layers: niche, landscape, and regime. In conclusion, R&D PIE was intended to elevate the abstract R&D investment evaluation system to a platform that leads innovation in the digital space of the Fourth Industrial Revolution. In addition, it was confirmed that the R&D PIE could be replaced or enhanced as a platform for innovation in response to the Fourth Industrial Revolution, thereby providing an alternative to job creation and an escape from economic crisis.

Bedside Education Will Be More Important than Now in the Age of Artificial Intelligence (인공지능 시대에 더 중요해질 침상 옆 교육)

  • Yeh, Byung-Il
    • Korean Medical Education Review
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    • v.18 no.2
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    • pp.58-64
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    • 2016
  • The birth of the scientific revolution, brought forth by Vesalius and Copernicus in 1543, marked the beginning of a new age. However, the changes such as treatment effectiveness, survival rate, prevalence of specific diseases, etc. had not yet become clear during the 16th century. In the early 17th century, Boerhaave emphasized bedside teaching and practice. His attitude influenced numerous students and educators, so many medical students visited hospital wards where he worked. From the late 18th to 19th centuries, Jenner's smallpox vaccination, Pasteur's anthrax and rabies vaccinations, and Koch's four postulates used to detect pathogens were developed using the scientific research method, which initiated big changes for medicine. Flexner, credited for reporting the new medical education system, adopted scientific medicine. He believed medical students must study basic medical science since it could be the foundation of clinical medicine and lead to a revolution in the field. He proposed a new medical curriculum composed of two-years of basic medicine and two-years of clinical medicine, which has been used more than 100 years. During the late 20th century, bedside teaching rounds decreased gradually as scientific medicine has become popular. Many medical educators in many articles have proposed bedside education as an effective method for medical learning. Despite the advent of the age of artificial intelligence and the changing of medical environments in the near future, bedside education will be more useful and important for medical students, educators, and patients as it is a traditional method and essential for patients who desire a more personal approach.

The 4th.industrial revolution and Korean university's role change (4차산업혁명과 한국대학의 역할 변화)

  • Park, Sang-Kyu
    • Journal of Convergence for Information Technology
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    • v.8 no.1
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    • pp.235-242
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    • 2018
  • The interest about 4th Industrial Revolution was impressively increased from newspapers, iindustry, government and academic sectors. Especially AI what could be felt by the skin of many peoples, already overpassed the ability of the human's even in creative areas. Namely, now many people start fo feel that the effect of the revolution is just infront of themselves. There were several issues in this trend, the ability of deep learning by machine, the identity of the human, the change of job environment and the concern about the social change etc. Recently many studies have been made about the 4th industrial revolution in many fields like as AI(artificial intelligence), CRISPR, big data and driverless car etc. As many positive effects and pessimistic effects are existed at the same time and many preventing actions are being suggested recently, these opinions will be compared and analyzed and better solutions will be found eventually. Several educational, political, scientific, social and ethical effects and solutions were studied and suggested in this study. Clear implication from the study is that the world we will live from now on is changing faster than ever in the social, industrial, political and educational environment. If it will reform the social systems according to those changes, a society (nation or government) will grasp the chance of its development or take-off, otherwise, it will consume the resources ineffectively and lose the competition as a whole society. But the method of that reform is not that apparent in many aspects as the revolution is progressing currently and its definition should be made whether in industrial or scientific aspect. The person or nation who will define it will have the advantage of leading the future of that business or society.

Problem-Solving Model to Improve Scientific Literacy of Youth (청소년의 과학적 소양 향상을 위한 문제해결 모형 개발 연구)

  • Kwak Seung-Jin
    • Journal of Korean Library and Information Science Society
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    • v.36 no.3
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    • pp.21-38
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    • 2005
  • This study aims to find methods to improve the scientific literacy of the youth, which comprise the group who will lead the upcoming era of knowledge and science. To do this, the study focuses on improving the youth's understanding of science and their ability to utilize it. It is widely recognized that scientific literacy Is highly essential in this era of scientific revolution and innovations. Accordingly, various kinds of programs are being developed in Korea and other countries. In particular, 'Project 2061' is designed to enable a permanent learning system by improving problem-solving ability through the scientific process. This system plays an Important role In supporting the Americans' Pursuit of Increased literacy in the fields of science, mathematics, and engineering. To improve the scientific literacy of young people, content development in relation with school courses as well as information services that arouse Interest and curiosity In the field of science is very important. In addition, It is necessary to develop a problem-solving program by stages. Further studies focusing on methods of improving scientific literacy of the youth are recommended.

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Trends of Big Data and Artificial Intelligence in the Fashion Industry (빅데이터와 인공지능을 중심으로 한 패션산업의 동향)

  • Kim, Chi Eun;Lee, Jin Hwa
    • Journal of the Korean Society of Clothing and Textiles
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    • v.42 no.1
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    • pp.148-158
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    • 2018
  • This study analyzes recent trends in fashion retailing instigated by the fourth industrial revolution and approaches the trends in terms of the convergence of big data and artificial intelligence. The findings are as below. First, companies like 'Edited' and 'Stylumia' offer solutions that support the strategic decisions of fashion brands and fashion retailers by analyzing big data using artificial intelligence. Second, the convergence of big data and artificial intelligence scales personalized service on the web as examples of 'Coded Couture', 'StitchFix', and 'Thread'. Third, the insights gained from artificial intelligence and big data help create new fashion retailing platforms such as 'Botshop' and 'Lyst'. Last, artificial intelligence and big data assist with design. 'Ivyrevel' designs digital fashion, assisted by a macroscopic perspective on fashion trends, market and consumers through the analysis of big data. The Fourth Industrial Revolution brings changes across all industries that will likely accelerate. The fashion industry is also undergoing many changes with advancements in scientific technology. The convergence of big data and artificial intelligence will play a key role in the future of fast-moving industry like fashion, where fickle tastes of consumers are the main drivers.