scispace - formally typeset
Search or ask a question
Institution

Korea University

EducationSeoul, South Korea
About: Korea University is a education organization based out in Seoul, South Korea. It is known for research contribution in the topics: Population & Catalysis. The organization has 39756 authors who have published 82424 publications receiving 1860927 citations. The organization is also known as: Bosung College & Bosung Professional College.
Topics: Population, Catalysis, Thin film, Cancer, Medicine


Papers
More filters
Journal ArticleDOI
TL;DR: Turner et al. as mentioned in this paper developed a parsimonious model of endogenous Markov regime-switching, which nests the exogenous switching model, yielding straightforward tests for endogeneity.

233 citations

Journal ArticleDOI
TL;DR: Good quantitative agreement is found between the experimentally retrieved and simulated correlation functions over all time scales when the solute-solvent interactions are determined from the electrostatic potential between the solvent and the atomic sites of the amide group.
Abstract: The vibrational frequency of the amide I transition of peptides is known to be sensitive to the strength of its hydrogen bonding interactions. In an effort to account for interactions with hydrogen bonding solvents in terms of electrostatics, we study the vibrational dynamics of the amide I coordinate of N-methylacetamide in prototypical polar solvents: D2O, CDCl3, and DMSO-d6. These three solvents have varying hydrogen bonding strengths, and provide three distinct solvent environments for the amide group. The frequency−frequency correlation function, the orientational correlation function, and the vibrational relaxation rate of the amide I vibration in each solvent are retrieved by using three-pulse vibrational photon echoes, two-dimensional infrared spectroscopy, and pump−probe spectroscopy. Direct comparisons are made to molecular dynamics simulations. We find good quantitative agreement between the experimentally retrieved and simulated correlation functions over all time scales when the solute−solve...

233 citations

Proceedings ArticleDOI
01 May 2017
TL;DR: VUDDY outperformed four state-of-the-art code clone detection techniques in terms of both scalability and accuracy, and proved its effectiveness by detecting zero-day vulnerabilities in widely used software systems, such as Apache HTTPD and Ubuntu OS Distribution.
Abstract: The ecosystem of open source software (OSS) has been growing considerably in size. In addition, code clones - code fragments that are copied and pasted within or between software systems - are also proliferating. Although code cloning may expedite the process of software development, it often critically affects the security of software because vulnerabilities and bugs can easily be propagated through code clones. These vulnerable code clones are increasing in conjunction with the growth of OSS, potentially contaminating many systems. Although researchers have attempted to detect code clones for decades, most of these attempts fail to scale to the size of the ever-growing OSS code base. The lack of scalability prevents software developers from readily managing code clones and associated vulnerabilities. Moreover, most existing clone detection techniques focus overly on merely detecting clones and this impairs their ability to accurately find "vulnerable" clones. In this paper, we propose VUDDY, an approach for the scalable detection of vulnerable code clones, which is capable of detecting security vulnerabilities in large software programs efficiently and accurately. Its extreme scalability is achieved by leveraging function-level granularity and a length-filtering technique that reduces the number of signature comparisons. This efficient design enables VUDDY to preprocess a billion lines of code in 14 hour and 17 minutes, after which it requires a few seconds to identify code clones. In addition, we designed a security-aware abstraction technique that renders VUDDY resilient to common modifications in cloned code, while preserving the vulnerable conditions even after the abstraction is applied. This extends the scope of VUDDY to identifying variants of known vulnerabilities, with high accuracy. In this study, we describe its principles and evaluate its efficacy and effectiveness by comparing it with existing mechanisms and presenting the vulnerabilities it detected. VUDDY outperformed four state-of-the-art code clone detection techniques in terms of both scalability and accuracy, and proved its effectiveness by detecting zero-day vulnerabilities in widely used software systems, such as Apache HTTPD and Ubuntu OS Distribution.

233 citations

Journal ArticleDOI
TL;DR: The population-based data of K-MMSE scores were investigated to obtain the norms specific for the sociodemographic characteristics of elderly Koreans and this result was used to develop normative data with age, gender, and educational strata.

233 citations

Journal ArticleDOI
TL;DR: Experimental analyses suggest that sorafenib is effective for patients from the AP region with advanced HCC, irrespective of baseline status, and the efficacy and safety profiles in the subpopulations described were comparable with those in the overall study population.

233 citations


Authors

Showing all 40083 results

NameH-indexPapersCitations
Anil K. Jain1831016192151
Hyun-Chul Kim1764076183227
Yongsun Kim1562588145619
Jongmin Lee1502257134772
Byung-Sik Hong1461557105696
Daniel S. Berman141136386136
Christof Koch141712105221
David Y. Graham138104780886
Suyong Choi135149597053
Rudolph E. Tanzi13563885376
Sung Keun Park133156796933
Tae Jeong Kim132142093959
Robert S. Brown130124365822
Mohammad Khaja Nazeeruddin12964685630
Klaus-Robert Müller12976479391
Network Information
Related Institutions (5)
Sungkyunkwan University
56.4K papers, 1.3M citations

98% related

Hanyang University
58.8K papers, 1.1M citations

98% related

Yonsei University
106.1K papers, 2.2M citations

98% related

Kyungpook National University
42.1K papers, 834.6K citations

98% related

Seoul National University
138.7K papers, 3.7M citations

98% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023121
2022611
20216,359
20206,208
20195,608
20185,088