scholarly journals Expectations for the Future of Korean Society and Religious Studies: Review of Korean Society and Religious Studies edited by the Center for Religious Studies, Seoul National University

2018 ◽  
Vol 75 (1) ◽  
pp. 631-643
Author(s):  
권용란
Keyword(s):  
Religious Studies ◽  
Korean Society ◽  
The Future ◽  
National University ◽  
Seoul National University

scholarly journals Light People: Professor Byoungho Lee

2022 ◽  
Vol 11 (1) ◽  
Author(s):  
Hui Wang ◽  
Cun Yu
Keyword(s):  
Mixed Reality ◽  
Active Role ◽  
Optical Components ◽  
Academic Organizations ◽  
The North ◽  
The Future ◽  
National University ◽  
Seoul National University ◽  
The University ◽  
North And South

EditorialMajor developments were made recently in both VR (virtual reality) and AR (augmented reality) technologies, which became the focus of attention. In recent years, MR (mixed reality) technology has also emerged, and optical components play an irreplaceable role in these technologies.Professor Byoungho Lee, who graduated from the University of California at Berkeley and currently works at Seoul National University in South Korea, has been committed to the development of optical components used in VR and AR technologies. As a pioneer of optical electronics in Korea, he is involved in various well-known academic organizations in the optical field, such as the Optica, SPIE, and IEEE, as well as serving as the president of the Optical Society of Korea, leading the direction of the development of optical industry in Korea. As the ambassador of China-Korea Optoelectronics Exchange, Prof. Lee has also played an active role in Chinese optical events and activities. Over the years, he and the Journal Light: Science & Applications (LIGHT) have made progress together and have both made their names in the vast field of optoelectronics.So where did the story between Prof. Lee and the LIGHT journal begin? And what kind of link does the professor have with Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP)? How did he become a pioneer in optoelectronics technology? These are the questions we are eager to ask Prof. Byoungho Lee.The future cannot be predicted, but it can be invented, said Dennis Gabor who had invented holography. The pace of human technological advancements has never stopped. Who is to say that we cannot take a virtual tour of the Palace Museum or explore the north and south poles in the future? Scientists like Prof. Lee are working hard to use technology to provide mankind with an intelligent lifestyle, and lead a new technological trend. I am sure we are all looking forward to it.

scholarly journals Making matters of fraud: Sociomaterial technology in the case of Hwang and Schatten

2020 ◽  
Vol 58 (4) ◽  
pp. 393-416
Author(s):  
Buhm Soon Park
Keyword(s):  
Embryonic Stem ◽  
Patient Specific ◽  
Korean Society ◽  
University Of Pittsburgh ◽  
National University ◽  
Integral Role ◽  
Seoul National University ◽  
The University ◽  
Knowledge Claims ◽  
Material Evidence

This paper revisits the “Hwang case,” which shook Korean society and the world of stem cell research in 2005 with the fraudulent claim of creating patient-specific embryonic stem cells. My goal is to overcome a human-centered, Korea-oriented narrative, by illustrating how materials can have an integral role in the construction and judgment of fraud. To this end, I pay attention to Woo Suk Hwang’s lab at Seoul National University as a whole, including human and nonhuman agents, that functioned as what I call sociomaterial technology, and Gerald P. Schatten at the University of Pittsburgh, Hwang’s collaborator, who played a crucial role in demonstrating the potency of this technology to the members of the scientific community. By recasting the whole event as the “case of Hwang and Schatten,” I argue that fraud is, like all knowledge claims, a sociotechnical construct, and that matters of fraud are locally judged. Fraud leaves its mark on materials, but I show that material evidence alone never tells the whole story and instead can be used to limit the range of responsibility.

scholarly journals Real-time clinical decision supports the prediction and management of in-hospital acute kidney injury with recurrent neural networks (Preprint)

2020 ◽  
Author(s):  
Kipyo Kim ◽  
Hyeonsik Yang ◽  
Suryeong Go ◽  
Hyung-Eun Son ◽  
Ji-Young Ryu ◽  
...  
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Prediction Models ◽  
External Validation ◽  
Kidney Injury ◽  
Clinical Decision ◽  
The Future ◽  
National University ◽  
Seoul National University ◽  
Clinical Decision Supports

BACKGROUND Acute kidney injury(AKI) is commonly encountered in clinical practice and associated with poor patient outcomes and increased healthcare costs. AKI poses significant challenges for clinicians but effective measures for the prediction and prevention of AKI are lacking. Previously published AKI prediction models mostly have simple design without external validation. Furthermore, little is known about how to link the model output and clinical decision supports due to the blackbox nature of the neural network models. OBJECTIVE We aimed to present an externally validated recurrent neural network (RNN)-based prediction model for in-hospital AKI, and to show the explainability of the model in relation to clinical decision support. METHODS Study populations were all patients aged ≥ 18 years and hospitalized more than a week from 2013 to 2017 in two tertiary hospitals in Korea (Seoul National University Bundang Hospital and Seoul National University Hospital). All demographics, laboratory values, vital signs, and clinical conditions were obtained from the EHR of each hospital. A total of 102 variables included in the model. Each variable falls into two categories: static and dynamic variables. We developed two-stage hierarchical prediction models (model 1 and model 2) using RNN algorithms. The outcome variable for Model 1 was the occurrence of AKI within 7 days from the present. Model 2 predicts the future trajectory of Cr values up to 72 hours. Internal validation was performed by 5-fold cross validation using the training set, and then external validation was done using independent test set. RESULTS Of a total of 118,893 patients initially screened, after excluding cases with missing data and estimated glomerular filtration rate <15 ml/min/1.73m2 or end-stage kidney disease, 40,552 patients in training cohort and 4,084 in external validation cohort (test cohort) were used for model development. Model 1 with the observation window of 3 days predicts AKI development with the area under the curve of 0.80 (sensitivity 0.72, specificity 0.89) in external validation. The model 2 predicted the future creatinine values within 3 days with the mean square errors of 0.04-0.06 for patients with higher risks of AKI and 0.05-0.12 for those with lower risks. On the basis of the developed models, we showed the probability of AKI according to the feature values in total patients and each individual with partial dependence plots and individual conditional expectation plots. In addition, we estimated the effects of feature modifications such as nephrotoxic drug discontinuation on the future creatinine levels. CONCLUSIONS We developed and externally validated a real-time AKI prediction model using RNN algorithms. Our model could provide real-time assessment of future AKI occurrences and individualized risk factors for AKI in general inpatient cohorts. These suggest approaches to support clinical decisions based on the prediction models for in-hospital AKI.

scholarly journals Abstracts of Presentations at the 2006 Spring Meeting of the Korean Society of Mycology at the Seoul National University, Seoul, Korea, May 12

Mycobiology ◽  
2006 ◽  
Vol 34 (4) ◽  
pp. 240-248
Author(s):  
Hyang Burm Lee ◽  
Jin Cheol Kim ◽  
Hack Sung Jung ◽  
Kim Myungkil ◽  
Ruy Sun Hwa ◽  
...  
Keyword(s):  
Korean Society ◽  
Spring Meeting ◽  
National University ◽  
Seoul National University
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