Search Results - "Ah Reum Kang"

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  1. 1

    Short-term carcinogenicity study of N-methyl-N-nitrosourea in FVB-Trp53 heterozygous mice by Kim, Na-Won, Seo, Sun-Min, Yoo, Eun-Seon, Kang, Ah-Reum, Lee, Ji-Hun, Lee, Jae-Hoon, Kang, Byeong-Cheol, Lee, Han-Woong, Choi, Yang-Kyu

    Published in PloS one (06-01-2023)
    “…Carcinogenicity tests predict the tumorigenic potential of various substances in the human body by studying tumor induction in experimental animals. There is a…”
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    Journal Article
  2. 2

    Development of transgenic models susceptible and resistant to SARS-CoV-2 infection in FVB background mice by Seo, Sun-Min, Son, Jae Hyung, Lee, Ji-Hun, Kim, Na-Won, Yoo, Eun-Seon, Kang, Ah-Reum, Jang, Ji Yun, On, Da In, Noh, Hyun Ah, Yun, Jun-Won, Park, Jun Won, Choi, Kang-Seuk, Lee, Ho-Young, Shin, Jeon-Soo, Seo, Jun-Young, Nam, Ki Taek, Lee, Ho, Seong, Je Kyung, Choi, Yang-Kyu

    Published in PloS one (26-07-2022)
    “…Coronavirus disease (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), is currently spreading globally. To overcome the…”
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  3. 3

    Development of a prediction model for hypotension after induction of anesthesia using machine learning by Kang, Ah Reum, Lee, Jihyun, Jung, Woohyun, Lee, Misoon, Park, Sun Young, Woo, Jiyoung, Kim, Sang Hyun

    Published in PloS one (16-04-2020)
    “…Arterial hypotension during the early phase of anesthesia can lead to adverse outcomes such as a prolonged postoperative stay or even death. Predicting…”
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  4. 4

    File-level malware detection using byte streams by Jeong, Young-Seob, Mswahili, Medard Edmund, Kang, Ah Reum

    Published in Scientific reports (01-06-2023)
    “…As more documents appear on the Internet, it becomes important to detect malware within the documents. Malware of non-executables might be more dangerous…”
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  5. 5

    Comparative Analysis on Machine Learning and Deep Learning to Predict Post-Induction Hypotension by Lee, Jihyun, Woo, Jiyoung, Kang, Ah Reum, Jeong, Young-Seob, Jung, Woohyun, Lee, Misoon, Kim, Sang Hyun

    Published in Sensors (Basel, Switzerland) (14-08-2020)
    “…Hypotensive events in the initial stage of anesthesia can cause serious complications in the patients after surgery, which could be fatal. In this study, we…”
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  6. 6

    Malware Detection of Hangul Word Processor Files Using Spatial Pyramid Average Pooling by Jeong, Young-Seob, Woo, Jiyoung, Lee, SangMin, Kang, Ah Reum

    Published in Sensors (Basel, Switzerland) (15-09-2020)
    “…Malware detection of non-executables has recently been drawing much attention because ordinary users are vulnerable to such malware. Hangul Word Processor…”
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  7. 7

    Malware Detection on Byte Streams of PDF Files Using Convolutional Neural Networks by Jeong, Young-Seob, Kang, Ah Reum, Woo, Jiyoung

    Published in Security and communication networks (01-01-2019)
    “…With increasing amount of data, the threat of malware keeps growing recently. The malicious actions embedded in nonexecutable documents especially (e.g., PDF…”
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  8. 8

    Development of a novel complex inflammatory bowel disease mouse model: Reproducing human inflammatory bowel disease etiologies in mice by Seo, Sun-Min, Kim, Na-Won, Yoo, Eun-Seon, Lee, Ji-Hun, Kang, Ah-Reum, Jeong, Han-Bi, Shim, Won-Yong, Kim, Dong-Hyun, Park, Young-Jun, Bae, Kieun, Yoon, Kyong-Ah, Choi, Yang-Kyu

    Published in PloS one (21-11-2024)
    “…Inflammatory bowel disease (IBD), caused by environmental factors associated with the host’s genetic traits, is represented by Crohn’s disease and ulcerative…”
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  9. 9

    Prediction of Postoperative Complications for Patients of End Stage Renal Disease by Jeong, Young-Seob, Kim, Juhyun, Kim, Dahye, Woo, Jiyoung, Kim, Mun Gyu, Choi, Hun Woo, Kang, Ah Reum, Park, Sun Young

    Published in Sensors (Basel, Switzerland) (14-01-2021)
    “…End stage renal disease (ESRD) is the last stage of chronic kidney disease that requires dialysis or a kidney transplant to survive. Many studies reported a…”
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  10. 10

    Developing an Individual Glucose Prediction Model Using Recurrent Neural Network by Kim, Dae-Yeon, Choi, Dong-Sik, Kim, Jaeyun, Chun, Sung Wan, Gil, Hyo-Wook, Cho, Nam-Jun, Kang, Ah Reum, Woo, Jiyoung

    Published in Sensors (Basel, Switzerland) (12-11-2020)
    “…In this study, we propose a personalized glucose prediction model using deep learning for hospitalized patients who experience Type-2 diabetes. We aim for our…”
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  11. 11

    Intelligent Anomaly Detection System through Malware Image Augmentation in IIoT Environment Based on Digital Twin by Cha, Hyun-Jong, Yang, Ho-Kyung, Song, You-Jin, Kang, Ah Reum

    Published in Applied sciences (01-09-2023)
    “…Due to the recent rapid development of the ICT (Information and Communications Technology) field, the industrial sector is also experiencing rapid…”
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  12. 12

    Intelligent Ensemble Deep Learning System for Blood Glucose Prediction Using Genetic Algorithms by Kim, Dae-Yeon, Choi, Dong-Sik, Kang, Ah Reum, Woo, Jiyoung, Han, Yechan, Chun, Sung Wan, Kim, Jaeyun

    Published in Complexity (New York, N.Y.) (01-01-2022)
    “…Forecasting blood glucose (BG) values for patients can help prevent hypoglycemia and hyperglycemia events in advance. To this end, this study proposes an…”
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  13. 13

    Analysis of context dependence in social interaction networks of a massively multiplayer online role-playing game by Son, Seokshin, Kang, Ah Reum, Kim, Hyun-chul, Kwon, Taekyoung, Park, Juyong, Kim, Huy Kang

    Published in PloS one (04-04-2012)
    “…Rapid advances in modern computing and information technology have enabled millions of people to interact online via various social network and gaming…”
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  14. 14

    Malware Detection Using Byte Streams of Different File Formats by Jeong, Young-Seob, Lee, Sang-Min, Kim, Jong-Hyun, Woo, Jiyoung, Kang, Ah Reum

    Published in IEEE access (2022)
    “…Malware detection is becoming more important task as we face more data on the Internet. Web users are vulnerable to non-executable files such as Word files and…”
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  15. 15

    Prediction of Blood Pressure after Induction of Anesthesia Using Deep Learning: A Feasibility Study by Jeong, Young-Seob, Kang, Ah Reum, Jung, Woohyun, Lee, So Jeong, Lee, Seunghyeon, Lee, Misoon, Chung, Yang Hoon, Koo, Bon Sung, Kim, Sang Hyun

    Published in Applied sciences (01-12-2019)
    “…Anesthesia induction is associated with frequent blood pressure fluctuation such as hypotension and hypertension. If it is possible to precisely predict blood…”
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  16. 16

    Malicious PDF Detection Model against Adversarial Attack Built from Benign PDF Containing JavaScript by Kang, Ah, Jeong, Young-Seob, Kim, Se, Woo, Jiyoung

    Published in Applied sciences (01-11-2019)
    “…Intelligent attacks using document-based malware that exploit vulnerabilities in document viewing software programs or document file structure are increasing…”
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  17. 17

    Prediction of Post-Intubation Tachycardia Using Machine-Learning Models by Kim, Hanna, Jeong, Young-Seob, Kang, Ah Reum, Jung, Woohyun, Chung, Yang Hoon, Koo, Bon Sung, Kim, Sang Hyun

    Published in Applied sciences (01-02-2020)
    “…Tachycardia is defined as a heart rate greater than 100 bpm for more than 1 min. Tachycardia often occurs after endotracheal intubation and can cause serious…”
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  18. 18

    갑상선호르몬이 담즙수송체인 Bile Salt Export Pump 발현에 미치는 영향 by 안화영, Hwa Young Ahn, 이관재, Kwan Jae Lee, 김순희, Soon Hui Kim, 김은기, Eun Ky Kim, 강아름, Ah Reum Kang, 임정아, Jung Ah Lim, 윤지완, Ji Won Yoon, 김경원, Kyung Won Kim, 박도준, Do Joon Park, 조보연, Bo Youn Cho, 박영주, Young Joo Park

    Published in Endocrinology and metabolism (Seoul) (30-09-2011)
    “…배경: 담즙은 콜레스테롤을 재료로 간세포에서 합성되어 담관을 통해 장내로 배출되며, 대부분은 회장에서 재흡수되지만, 일부는 대변으로 배출되는데 이러한 과정을 통해 콜레스테롤을 체외로 배출하는 역할을 하여 콜레스테롤 항상성 유지에 기여한다. 갑상선호르몬은 담즙산 생산에 중요한…”
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    Effect of local kinematic history on the dynamic self-assembly of droplets in micro-expansion channels by Yang, Seungyoung, Ahn, Sung Won, Kang, Ah Reum, Lee, Daewoong, Lee, Sung Sik, Kim, Ju Min, Ahn, Kyung Hyun, Lee, Seung Jong

    Published in Korea-Australia Rheology Journal (01-09-2011)
    “…Dynamic self-assembly of droplets, regular structure formation of moving deformable objects in a confinement environment is a challenging problem in nonlinear…”
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