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PEGylated Magnetic Nano-Assemblies as Contrast Agents for Effective T2-Weighted MR Imaging
2019
Nanomaterials
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We designed a high-sensitivity magnetic resonance imaging contrast agent that could be used to diagnose diseases. First, magnetic nanocrystals were synthesized by a thermal decomposition method on an organic solvent to obtain a high magnetism and methoxy poly(ethylene glycol)-poly(lactic acid) as an amphiphilic polymer using the ring-opening polymerization method to stably disperse the magnetic nanocrystals in an aqueous phase. Subsequently, the magnetic nanoclusters simultaneously
doi:10.3390/nano9030410
pmid:30862030
pmcid:PMC6473972
fatcat:ok4yzsuksffevm33b773xhkhh4
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... d with methoxy poly(ethylene glycol)-poly(lactic acid) using the nano-emulsion method to form magnetic nanoclusters. Because their shape was similar to a raspberry, they were named PEGylated magnetic nano-assemblies. The PEGylated magnetic nano-assemblies were dispersed stably in the aqueous phase with a uniform size of approximately 65–70 nm for an extended period (0 days: 68.8 ± 5.1 nm, 33 days: 69.2 ± 2.0 nm, and 44 days: 63.2 ± 5.6). They exhibited both enough of a magnetic resonance (MR) contrast effect and biocompatibility. In an in vivo study, the PEGylated magnetic nano-assemblies provided a high contrast effect for magnetic resonance images for a long time after one treatment, thereby improving the diagnostic visibility of the disease site.
CONSENTO
2012
Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion
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Search engines have become an important decision making tool today. Decision making queries are often subjective, such as "best sedan for family use," "best action movies in 2010," to name a few. Unfortunately, such queries cannot be answered properly by conventional search systems. In order to address this problem, we introduce Consento, a consensus search engine designed to answer subjective queries. Consento performs subdocument-level indexing to more precisely capture semantics from user
doi:10.1145/2187980.2188087
dblp:conf/www/ChoiKKLLLK12
fatcat:rinnvv5pyrfodgemzafujqrk7q
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... nions. We also introduce a new ranking method, or ConsensusRank that counts in online comments referring to an entity as a weighted vote to the entity. We validated the framework with an empirical study using the data on movie reviews.
Chemical–gene relation extraction using recursive neural network
2018
Database: The Journal of Biological Databases and Curation
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In this article, we describe our system for the CHEMPROT task of the BioCreative VI challenge. Although considerable research on the named entity recognition of genes and drugs has been conducted, there is limited research on extracting relationships between them. Extracting relations between chemical compounds and genes from the literature is an important element in pharmacological and clinical research. The CHEMPROT task of BioCreative VI aims to promote the development of text mining systems
doi:10.1093/database/bay060
pmid:29961818
pmcid:PMC6014134
fatcat:7m47sqrbuvgmxnbwnlabfot2xu
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... that can be used to automatically extract relationships between chemical compounds and genes. We tested three recursive neural network approaches to improve the performance of relation extraction. In the BioCreative VI challenge, we developed a tree-Long Short-Term Memory networks (tree-LSTM) model with several additional features including a position feature and a subtree containment feature, and we also applied an ensemble method. After the challenge, we applied additional pre-processing steps to the tree-LSTM model, and we tested the performance of another recursive neural network model called Stackaugmented Parser Interpreter Neural Network (SPINN). Our tree-LSTM model achieved an F-score of 58.53% in the BioCreative VI challenge. Our tree-LSTM model with additional pre-processing and the SPINN model obtained F-scores of 63.7 and 64.1%, respectively.
Emerging Materials to Prepare Mixed Matrix Membranes for Pollutant Removal in Water
2021
Membranes
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Various pollutants of different sizes are directly (e.g., water-borne diseases) and indirectly (e.g., accumulation via trophic transfer) threatening our water health and safety. To cope with this matter, multifaceted approaches are required for advanced wastewater treatment more efficiently. Wastewater treatment using mixed matrix membranes (MMMs) could provide an excellent alternative since it could play two roles in pollutant removal by covering adsorption and size exclusion of water
doi:10.3390/membranes11070508
fatcat:ivcwmsc6s5h7fbpf6dq7yrldim
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... nts simultaneously. This paper provides an overview of the research progresses and trends on the emerging materials used to prepare MMMs for pollutant removal from water in the recent five years. The transition of the research trend was investigated, and the most preferred materials to prepare MMMs were weighed up based on the research trend. Various application examples where each emerging material was used have been introduced along with specific mechanisms underlying how the better performance was realized. Lastly, the perspective section addresses how to further improve the removal efficiency of pollutants in an aqueous phase, where we could find a niche to spot new materials to develop environmentally friendly MMMs, and where we could further apply MMMs.
Drug drug interaction extraction from the literature using a recursive neural network
2018
PLoS ONE
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OPEN ACCESS Citation: Lim S, Lee K, Kang J (2018) Drug drug interaction extraction from the literature using a recursive neural network. PLoS ONE 13(1): e0190926. https://doi.org/10. ...
Author Contributions Conceptualization: Kyubum Lee, Jaewoo Kang. ...
doi:10.1371/journal.pone.0190926
pmid:29373599
pmcid:PMC5786304
fatcat:vjd6wcwf4bhdhj6pa7k7cqpkue
Converged architecture for broadcast and multicast services in heterogeneous network
2014
16th International Conference on Advanced Communication Technology
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This paper proposes a converged architecture for broadcast and multicast services in a heterogeneous network.
doi:10.1109/icact.2014.6778937
fatcat:4er4ib4ruvfgrbmytnv3bvtsqq
Highly Sensitive in Vitro Diagnostic System of Pandemic Influenza A (H1N1) Virus Infection with Specific MicroRNA as a Biomarker
2019
ACS Omega
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Nanomed. 2017, 12, 2645−2656. (7) Lim, E. K.; Guk, K.; Kim, H.; Chung, B. H.; Jung, J. Simple, rapid detection of influenza A (H1N1) viruses using a highly sensitive peptide-based molecular beacon. ...
doi:10.1021/acsomega.9b01790
pmid:31528810
pmcid:PMC6740188
fatcat:qtrx7xakqff4fglqzkydrez7yi
Loss-resilient photonic entanglement swapping using optical hybrid states
2016
Physical Review A
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We propose a scheme of loss-resilient entanglement swapping between two distant parties via an imperfect optical channel. In this scheme, two copies of hybrid entangled states are prepared and the continuous-variable parts propagate through lossy media. In order to perform successful entanglement swapping, several different measurement schemes are considered for the continuousvariable parts such as single-photon detection for ideal cases and a homodyne detection for practical cases. We find
doi:10.1103/physreva.94.062337
fatcat:jmaboryycballccbye6flhvshm
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... the entanglement swapping using hybrid states with small amplitudes offers larger entanglement than the discrete-variable entanglement swapping in the presence of large losses. Remarkably, this hybrid scheme still offers excellent robustness of entanglement to the detection inefficiency. Thus, the proposed scheme could be used for the practical quantum key distribution in hybrid optical states under photon losses.
A Study on Injection Rate Characteristics of a Diesel Injector
디젤 인젝터의 분사율 특성에 관한 연구
2015
Journal of ILASS-Korea
디젤 인젝터의 분사율 특성에 관한 연구
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In this study, Injection rate tests of a Diesel common-rail injector have been performed with injection volume measurement type injection rate test system EMI21 for construction of injector model can be used in an engine calibration mean valued model. The measuring principle of the test system is based on measurement of dispalcement of a movable measurement piston by the volume of fluid released by the injector. From these injection rate test results, the characteristics on shape of
doi:10.15435/jilasskr.2015.20.4.217
fatcat:hjyzb2g2dbfl5bp4dwnoqlumme
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... s injection rate and injection fuel amount have been investigated and injection fuel amount calculation equation based on test results has been newly constructed. This equation is very simple and calculation error is less than 5% with test results for wide range injection pressure (200~1800 bar) and injection duration (200~1800 µs) conditions. So, it is anticipated that newly constructed simple injection fuel amount model in this study can be efficiently used on engine calibration and control model.
On the Control Strategy to Improve the Salt Rejection of a Thin-Film Composite Reverse Osmosis Membrane
2021
Applied Sciences
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Since the specific energy consumption (SEC) required for reverse osmosis (RO) desalination has been steeply reduced over the past few decades, there is an increasing demand for high-selectivity membranes. However, it is still hard to find research papers empirically dealing with increasing the salt rejection of RO membranes and addressing the SEC change possibly occurring while increasing salt rejection. Herein, we examined the feasibility of the process and material approaches to increase the
doi:10.3390/app11167619
fatcat:l6loohdjwvacxi563x22joikxy
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... alt rejection of RO membranes from the perspective of the SEC and weighed up a better approach to increase salt rejection between the two approaches. A process approach was confirmed to have some inherent limitations in terms of the trade-off between water permeability and salt rejection. Furthermore, a process approach is inappropriate to alter the intrinsic salt permeability of RO membranes, such that it should be far from a fundamental improvement in the selectivity of RO membranes. Thus, we could conclude that a material approach is necessary to make a fundamental improvement in the selectivity of RO membranes. This paper also provides discussion on the specific demands for RO membranes featuring superior mechanical properties and excellent water/salt permselectivity to minimize membrane compaction while maximizing the selectivity.
Static and Dynamic Analysis of Android Malware and Goodware Written with Unity Framework
2018
Security and Communication Networks
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Unity is the most popular cross-platform development framework to develop games for multiple platforms such as Android, iOS, and Windows Mobile. While Unity developers can easily develop mobile apps for multiple platforms, adversaries can also easily build malicious apps based on the "write once, run anywhere" (WORA) feature. Even though malicious apps were discovered among Android apps written with Unity framework (Unity apps), little research has been done on analysing the malicious apps. We
doi:10.1155/2018/6280768
fatcat:hrrfr5foyjadpampgzupyubnum
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... ropose static and dynamic reverse engineering techniques for malicious Unity apps. We first inspect the executable file format of a Unity app and present an effective static analysis technique of the Unity app. Then, we also propose a systematic technique to analyse dynamically the Unity app. Using the proposed techniques, the malware analyst can statically and dynamically analyse Java code, native code in C or C ++, and the Mono runtime layer where the C# code is running.
Colanic Acid Is a Novel Phage Receptor of Pectobacterium carotovorum subsp. carotovorum Phage POP72
2019
Frontiers in Microbiology
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Phage PP1 is the first sequenced Podoviridae phage of Pcc and could protect lettuce from Pcc infection (Lim et al., 2013) . ...
Comparative genomic analysis using BLAST and ACT13 revealed that phage POP72 highly resembled Pectobacterium carotovorum phage PP1 (Lim et al., 2013) . ...
Copyright © 2019 Kim, Kim, Bai, Lim, Heu and Ryu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). ...
doi:10.3389/fmicb.2019.00143
pmid:30837957
pmcid:PMC6390001
fatcat:turcqemrffeq3h5kwhas5bkp3u
The connection to the public's preferred sports analysis and physical education curriculum
2022
PLoS ONE
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Data curation: Yong-Wook Kim, Kyungtae Jang, Jaewoo Park, Seungyup Lim, Jin-Young Lee. ...
doi:10.1371/journal.pone.0264032
pmid:35294957
pmcid:PMC8926212
fatcat:ha4aodaaofbengzsudkzd4ta5a
A Comparison Study of MIMO Water Wall Model with Linear, MFNN and ESN Models
2016
Journal of Electrical Engineering and Technology
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A water wall system is one of the most important components of a boiler in a thermal power plant, and it is a nonlinear Multi-Input and Multi-Output (MIMO) system, with 6 inputs and 3 outputs. Three models are developed and comp for the controller design, including a linear model, a multilayer feed-forward neural network (MFNN) model and an Echo State Network (ESN) model. First, the linear model is developed by linearizing a given nonlinear model and is analyzed as a function of the operating
doi:10.5370/jeet.2016.11.2.265
fatcat:smhqdule6ngvblbqhqpi7pq62e
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... int. Second, the MFNN and the ESN are developed by using training data from the nonlinear model. The three models are validated using Matlab with nonlinear input-output data that was not used during training.
A comparative study of water wall model with a linear model and a neural network model
2014
IFAC Proceedings Volumes
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A water wall system is one of the most important systems used in boilers of thermal power plants. In this study, we assume that an exact nonlinear water wall model is given. Then, from the viewpoint of controller design, we compare the effectiveness of two models, a linear model and a neural network model. The linear model is developed by linearizing a nonlinear model at an operating point. The neural network model is developed using simulation data from a nonlinear model. To compare the
doi:10.3182/20140824-6-za-1003.00284
fatcat:5eof4kwcefezrc553iz3qascum
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... es of these two models, a PRBNS (Pseudo Random Binary Signal) is applied to each model, and the errors of the models are compared. In comparison to the nonlinear model, two models performed adequately. The neural network model achieved a better performance than the linear model.
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