31 results on '"Seon-Hong Lee"'
Search Results
2. ESG2PreEM: Automated ESG grade assessment framework using pre-trained ensemble models
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Haein Lee, Seon Hong Lee, Heungju Park, Jang Hyun Kim, and Hae Sun Jung
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ESG ,Natural language processing (NLP) ,Ensemble ,Pretrained language model ,BERT ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Incorporating environmental, social, and governance (ESG) criteria is essential for promoting sustainability in business and is considered a set of principles that can increase a firm’s value. This research proposes a strategy using text-based automated techniques to rate ESG. For autonomous classification, data were collected from the news archive LexisNexis and classified as E, S, or G based on the ESG materials provided by the Refinitiv-Sustainable Leadership Monitor, which has over 450 metrics. In addition, Bidirectional Encoder Representations from Transformers (BERT), Robustly optimized BERT approach (RoBERTa), and A Lite BERT (ALBERT) models were trained to accurately categorize preprocessed ESG documents using a voting ensemble model, and their performances were measured. The accuracy of the ensemble model utilizing BERT and ALBERT was found to be 80.79% with batch size 20. Additionally, this research validated the performance of the framework for companies included in the Dow Jones Industrial Average (DJIA) and compared it with the grade provided by Morgan Stanley Capital International (MSCI), a globally renowned ESG rating agency known for having the highest creditworthiness. This study supports the use of sophisticated natural language processing (NLP) techniques to attain important knowledge from large amounts of text-based data to improve ESG assessment criteria established by different rating agencies.
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- 2024
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3. Predicting Bitcoin Trends Through Machine Learning Using Sentiment Analysis with Technical Indicators.
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Hae Sun Jung, Seon Hong Lee, Haein Lee, and Jang Hyun Kim 0001
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- 2023
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4. Exploring Cultural Differences of Public Perception of Artificial Intelligence via Big Data Approach.
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Jang Hyun Kim 0001, Hae Sun Jung, Min Hyung Park, Seon Hong Lee, Haein Lee, Yonghwan Kim, and Dongyan Nan
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- 2022
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5. Predicting User Satisfaction of Mobile Healthcare Services Using Machine Learning: Confronting the COVID-19 Pandemic.
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Haein Lee, Seon Hong Lee, Dongyan Nan, and Jang Hyun Kim 0001
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- 2022
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6. ESG Discourse Analysis Through BERTopic: Comparing News Articles and Academic Papers
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Haein Lee, Seon Hong Lee, Kyeo Re Lee, and Jang Hyun Kim
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Biomaterials ,Mechanics of Materials ,Modeling and Simulation ,Electrical and Electronic Engineering ,Computer Science Applications - Published
- 2023
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7. Comparing Social Media and News Articles on Climate Change: Different Viewpoints Revealed.
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Kang Nyeon Lee, Haein Lee, Jang Hyun Kim, Youngsang Kim, and Seon Hong Lee
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SOCIAL media ,SENTIMENT analysis ,DISCOURSE analysis ,NATURAL language processing ,CLIMATE change ,PUBLIC opinion - Abstract
Climate change is a constant threat to human life, and it is important to understand the public perception of this issue. Previous studies examining climate change have been based on limited survey data. In this study, the authors used big data such as news articles and social media data, within which the authors selected specific keywords related to climate change. Using these natural language data, topic modeling was performed for discourse analysis regarding climate change based on various topics. In addition, before applying topic modeling, sentiment analysis was adjusted to discover the differences between discourses on climate change. Through this approach, discourses of positive and negative tendencies were classified. As a result, it was possible to identify the tendency of each document by extracting key words for the classified discourse. This study aims to prove that topic modeling is a useful methodology for exploring discourse on platforms with big data. Moreover, the reliability of the study was increased by performing topic modeling in consideration of objective indicators (i.e., coherence score, perplexity). Theoretically, based on the social amplification of risk framework (SARF), this study demonstrates that the diffusion of the agenda of climate change in public news media leads to personal anxiety and fear on social media. [ABSTRACT FROM AUTHOR]
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- 2023
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8. Enhancing the Prediction of User Satisfaction with Metaverse Service Through Machine Learning
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Seon Hong Lee, Haein Lee, and Jang Hyun Kim
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Biomaterials ,Mechanics of Materials ,Modeling and Simulation ,Electrical and Electronic Engineering ,Computer Science Applications - Published
- 2022
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9. Robust Sentiment Classification of Metaverse Services Using a Pre-trained Language Model with Soft Voting.
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Haein Lee, Hae Sun Jung, Seon Hong Lee, and Jang Hyun Kim
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LANGUAGE models ,SHARED virtual environments ,DEEP learning ,NATURAL language processing ,UBIQUITOUS computing ,SENTIMENT analysis - Abstract
Metaverse services generate text data, data of ubiquitous computing, in real-time to analyze user emotions. Analysis of user emotions is an important task in metaverse services. This study aims to classify user sentiments using deep learning and pre-trained language models based on the transformer structure. Previous studies collected data from a single platform, whereas the current study incorporated the review data as "Metaverse" keyword from the YouTube and Google Play Store platforms for general utilization. As a result, the Bidirectional Encoder Representations from Transformers (BERT) and Robustly optimized BERT approach (RoBERTa) models using the soft voting mechanism achieved a highest accuracy of 88.57%. In addition, the area under the curve (AUC) score of the ensemble model comprising RoBERTa, BERT, and A Lite BERT (ALBERT) was 0.9458. The results demonstrate that the ensemble combined with the RoBERTa model exhibits good performance. Therefore, the RoBERTa model can be applied on platforms that provide metaverse services. The findings contribute to the advancement of natural language processing techniques in metaverse services, which are increasingly important in digital platforms and virtual environments. Overall, this study provides empirical evidence that sentiment analysis using deep learning and pre-trained language models is a promising approach to improving user experiences in metaverse services. [ABSTRACT FROM AUTHOR]
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- 2023
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10. Network analysis of open innovation in the era of the Fourth Industrial Revolution
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Dongyan Nan, Jang Hyun Kim, Seon Hong Lee, Yerin Kim, Greg Minton, Haein Lee, Hyungbo Shim, and Yonghwan Kim
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Economics and Econometrics ,Knowledge management ,Social network ,business.industry ,Subject (philosophy) ,Semantic network ,Management of Technology and Innovation ,Phenomenon ,Mainstream ,Sociology ,business ,Industrial Revolution ,Open innovation ,Network analysis - Abstract
Open innovation (OI) is a crucial strategy regardless of sector, public or private, or academic or practical. However, the concept itself is often considered abstract and broad. Therefore, this study explored the coauthorship network and its groups to empirically observe the phenomenon of an open innovation. It also examined the semantic network of subject fields in open innovation research. We used coauthorship data to observe collaboration among authors. To examine how an open innovation is conceptualised and explained in academia, we used the abstracts of papers and the classification data of the journals where the papers were published. The results of the analysis found a mainstream group, which is a small group-to-group connection. We observed that the small groups are connected by key authors. We found that a social network of authorship and a semantic network of abstracts are both closely related. Our results provide a deeper understanding of an open innovation.
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- 2021
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11. Carbon depth profile and internal stress by thermal energy variation in carbon‐doped TiZrN coating
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Seonghoon Kim, Eunpyo Hong, Taewoo Kim, Seon-Hong Lee, and Heesoo Lee
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Materials science ,business.industry ,chemistry.chemical_element ,engineering.material ,Carbon doping ,Coating ,chemistry ,Materials Chemistry ,Ceramics and Composites ,engineering ,Carbon doped ,Composite material ,business ,Carbon ,Internal stress ,Thermal energy - Published
- 2020
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12. Reduced Graphene Oxide Supported Cobalt-Calcium Phosphate Composite for Electrochemical Water Oxidation
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Chung Soo Kim, Yeona Cha, Wonseok Yang, Keunyoung Lee, Dong Kwon Lim, Hyebin Choi, Eunji Pyo, Seon-Hong Lee, and Ki-Young Kwon
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Electrolysis ,Materials science ,Aqueous solution ,Chemical technology ,graphene ,Oxide ,Oxygen evolution ,chemistry.chemical_element ,TP1-1185 ,Overpotential ,Electrochemistry ,Catalysis ,law.invention ,calcium phosphate ,chemistry.chemical_compound ,Chemistry ,chemistry ,law ,OER ,Physical and Theoretical Chemistry ,Calcium oxide ,Cobalt ,QD1-999 ,Nuclear chemistry - Abstract
We report the oxygen evolution reaction (OER) catalyst composed of cobalt–calcium phosphate on reduced graphene oxide (CoCaP/rGO). Our catalyst is prepared by the anodic electrolysis of calcium phosphate/rGO mixture loaded on indium-tin-oxide (ITO) in Co2+ aqueous solution. TEM, XPS and XRD experiments confirm that the crystal phase of calcium phosphate (CaP) is transferred into an amorphous phase of calcium oxide with phosphate (5.06 at%) after anodic electrolysis. Additionally, the main cation component of calcium is replaced by cobalt ion. The current–voltage characteristics of CoCaP/rGO showed a shoulder peak at 1.10 V vs. NHE, which originated from Co2+ to higher oxidation states (Co3+ or Co4+) and a strong wave from water oxidation higher +1.16 V vs. NHE at neutral condition (pH 7). CoCaP and CoCaP/rGO showed 4.8 and 10 mA/cm2 at 0.47 V of overpotential, respectively. The enhanced OER catalytic activity of CoCaP/rGO arises from the synergetic interaction between the amorphous phase of CoCaP and electric conducting graphene sheets.
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- 2021
13. Concurrent occurrence of electrochemical dissolution/deposition of cobalt-calcium phosphate composite
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Chung Soo Kim, Se-Young Ha, Keunyoung Lee, Eunji Pyo, Seon-Hong Lee, Gi-Tae Park, and Ki-Young Kwon
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Materials science ,Aqueous solution ,General Chemical Engineering ,Oxygen evolution ,chemistry.chemical_element ,General Chemistry ,Phosphate ,Chemical reaction ,Amorphous solid ,chemistry.chemical_compound ,chemistry ,Chemical engineering ,Cobalt ,Cobalt oxide ,Dissolution - Abstract
Amorphous cobalt–calcium phosphate composite (CCPC) films are electrochemically prepared on various electrodes by utilizing the solid phase of hydroxyapatite as a phosphate source. The CCPC film formation is surface process in which the dissolution of hydroxyapatite and the deposition of CCPC film concurrently occur on the electrode surface without the mass transfer of phosphate ions into the bulk solution. Elemental, crystallographic, and morphological analyses (EDX, ICP-AES, XPS, and XRD) indicate that the CCPC is composed of amorphous cobalt oxide with calcium and phosphate. The film exhibits durable oxygen evolution reaction (OER) catalytic properties under neutral and basic aqueous condition. Compared to using solution phase of phosphate source, our preparation method utilizing solid hydroxyapatite has advantage of preventing unnecessary chemical reaction between phosphate and other chemical species in bulk solution.
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- 2021
14. Cobalt Incorporated Hydroxyapatite Catalyst for Water Oxidation
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Eunji Pyo, Sung Mook Choi, Myeong Je Jang, In Hwan Ko, Chung Soo Kim, Keunyoung Lee, Seon-Hong Lee, and Ki-Young Kwon
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Inorganic Chemistry ,chemistry.chemical_compound ,Materials science ,chemistry ,Organic Chemistry ,Oxygen evolution ,chemistry.chemical_element ,Physical and Theoretical Chemistry ,Cobalt ,Catalysis ,Cobalt phosphate ,Nuclear chemistry - Published
- 2019
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15. Atomic structure and residual stress of carbon-doped TiMeN (Me = Zr, Al, and Cr) coatings on mechanical properties
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Seon-Hong Lee, Jung Woo Lee, Heesoo Lee, Eunpyo Hong, and Taewoo Kim
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010302 applied physics ,Ionic radius ,Materials science ,Rietveld refinement ,Process Chemistry and Technology ,02 engineering and technology ,engineering.material ,021001 nanoscience & nanotechnology ,01 natural sciences ,Surfaces, Coatings and Films ,Electronic, Optical and Magnetic Materials ,Lattice constant ,Coating ,Transition metal ,Residual stress ,Sputtering ,Distortion ,0103 physical sciences ,Materials Chemistry ,Ceramics and Composites ,engineering ,Composite material ,0210 nano-technology - Abstract
The hardnesses of carbon-doped TiMeN (Me = Zr, Al, and Cr) coatings were investigated in terms of lattice distortion and residual stress according to the difference in the ionic radii of the transition metal. TiMeN coatings were deposited on SUS304 by sputtering, and laser carburization was carried out for carbon doping. The scratch test showed that the delaminations of TiZrN, TiAlN, and TiCrN coatings were occurred about 13 N, 19 N, and, 16 N before and after carbon doping. The rate of hardness increase rate of TiZrN with carbon doping was the highest at 15.1%, and that of TiAlN and TiCrN were at 8.8% and 10.7%, respectively. The difference in hardness was analyzed by Rietveld refinement using HR-XRD, and the change in the lattice constant for TiZrN was 0.18 A, which was larger than that of TiAlN (0.10 A) and TiCrN (0.07 A). The expansion distortion was confirmed by the increase in lattice constant, and the doped carbon affected the lattice distortion differently depending on the ionic radius of the transition metal. The variation in residual stress through the lattice distortion was identified by the sin2Ψ method using HR-XRD with parallel beam and tilting of the specimen. The TiZrN coating showed the largest residual stress variation at 22%, and TiAlN and TiCrN showed similar tendencies at 11% and 13%, respectively.
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- 2019
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16. Surface failure analysis of AlCrN coating on WC substrate subjected to high-temperature oxidation in glass-molding machine
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Seon-Hong Lee, TaeYoung Kim, and In Hwan Ko
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Materials science ,Scanning electron microscope ,Oxide ,General Physics and Astronomy ,02 engineering and technology ,Surfaces and Interfaces ,General Chemistry ,Substrate (printing) ,engineering.material ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,Microstructure ,Focused ion beam ,Surfaces, Coatings and Films ,chemistry.chemical_compound ,020303 mechanical engineering & transports ,0203 mechanical engineering ,chemistry ,Coating ,Tungsten carbide ,engineering ,Composite material ,0210 nano-technology ,Chromium nitride - Abstract
In this study, a surface failure analysis was performed on an aluminum chromium nitride (AlCrN) coating formed on a tungsten carbide (WC) substrate used in a glass-molding machine and subjected to oxidation at elevated temperatures. Several pinholes were observed in the coating, with the coating surface exhibiting discoloring. The microstructures, crystalline structures, and elemental compositions of the coating and substrate were observed using scanning electron microscopy, X-ray diffraction analysis, and X-ray fluorescence spectroscopy. In particular, the phenomena occurring near the coating/substrate interface were examined using focused ion beam milling and grazing incidence X-ray diffraction analysis. The pinholes-containing coating area consisted of an oxide, with the composition of the coating being inhomogeneous. Further, voids were present near the substrate/coating interface, with some of the coating components being detected in the substrate as well. It was concluded that the Al/Cr atomic ratio of the AlCrN coating was not constant, owing to the oxidation of the coating at the elevated temperatures.
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- 2018
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17. Investigation on failure analysis and optimization of WC–Co hard metals after long-term use in a bottle cap forming machine
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TaeYoung Kim, Dong-Hyun Kim, Seon-Hong Lee, Jin-Seuk Choi, and Jun-Woong Choi
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Materials science ,Hard metal ,020502 materials ,Modulus ,02 engineering and technology ,medicine.disease_cause ,Microstructure ,Stress (mechanics) ,020303 mechanical engineering & transports ,0205 materials engineering ,0203 mechanical engineering ,Flexural strength ,Mold ,Fracture (geology) ,medicine ,Bottle cap ,Composite material - Abstract
Failure analysis was performed on WC–Co hard metal molds after long-term use in a bottle cap forming machine. In addition, we simulated the optimal physical properties of the top and bottom molds for minimizing the wear caused by long-term use. To this end, we investigated the microstructure, wear, hardness, and transverse rupture strength (TRS) of the top and bottom molds with different WC particle sizes and WC/Co content ratios via simulations with Poisson's ratio and Young's modulus as inputs. The results show that a large stress distribution at the top and bottom molds did not signify a high maximum stress value; the stress distributions and maximum stress depended on the combination of materials used for the molds. It was concluded that WC–Co hard metal molds with similar physical properties would fracture readily or suffer wear due to the relatively high stress, where the optimal combination showed the lowest maximum stress (compared with the other combinations) at the top mold, with a larger stress distribution than that of the bottom mold. These findings are expected to be useful for optimizing applications where hard metal pieces come into contact, e.g. designing molds for bottle cap forming machines with longer lifetimes and fewer bottle cap defects.
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- 2018
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18. Failure Analysis of Swelling in Prismatic Lithium-Ion Batteries During Their Cycle Life After Long-Term Storage
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Seon-Hong Lee and In Hwan Ko
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Materials science ,medicine.diagnostic_test ,Mechanical Engineering ,chemistry.chemical_element ,Computed tomography ,02 engineering and technology ,010402 general chemistry ,021001 nanoscience & nanotechnology ,Jelly roll ,01 natural sciences ,0104 chemical sciences ,Ion ,Anode ,chemistry ,Mechanics of Materials ,Void space ,Electrode ,medicine ,General Materials Science ,Lithium ,Composite material ,Swelling ,medicine.symptom ,0210 nano-technology ,Safety, Risk, Reliability and Quality - Abstract
This paper details the failure analysis of swelling in prismatic lithium-ion batteries (LIBs) after undergoing several charge–recharge cycles subsequent to long-term storage. The methods of analysis are nondestructive and mainly involve the use of computed tomography (CT) and cell disassembly. Two situations are compared. The first cell is examined after long-term storage, in which case a void space, presumably a gas bubble, is observed around the Ni tap in the cell, and traces of side reactants are found around the center of the anode electrode. This cell is compared with a swollen cell examined after undergoing several cycles after long-term storage, in which, according to the CT results before and after gas removal, gas is detected inside the jelly roll and inside the space between the can body and the jelly roll. Moreover, side reactants are identified near the center of the anode electrode, causing the color of the anode electrode to become irregular. The results show the gas bubbles and side reactants generated as a result of long-term storage are determined to be responsible for the swelling in the cell due to prolonged cycling.
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- 2018
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19. Failure Analysis of a Failed Lithium-ion Battery by External Impact
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Seon-Hong Lee
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Materials science ,Nuclear engineering ,Lithium-ion battery - Published
- 2016
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20. Screening Patients with Early Stage Parkinson’s Disease Using a Machine Learning Technique: Measuring the Amount of Iron in the Basal Ganglia
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Jeehun Kim, Se-Hong Oh, Joon Yul Choi, Jee Young Lee, Sun Won Park, Jung Hyo Rhim, Chaewon Shin, and Seon Hong Lee
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Oncology ,medicine.medical_specialty ,Parkinson's disease ,information science ,Grey matter ,Logistic regression ,lcsh:Technology ,030218 nuclear medicine & medical imaging ,lcsh:Chemistry ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Basal ganglia ,Medicine ,support vector machine ,General Materials Science ,Stage (cooking) ,lcsh:QH301-705.5 ,Instrumentation ,Fluid Flow and Transfer Processes ,quantitative susceptibility mapping ,medicine.diagnostic_test ,lcsh:T ,business.industry ,Process Chemistry and Technology ,General Engineering ,Quantitative susceptibility mapping ,Magnetic resonance imaging ,medicine.disease ,nonmotor symptom ,lcsh:QC1-999 ,Computer Science Applications ,Support vector machine ,machine learning ,medicine.anatomical_structure ,lcsh:Biology (General) ,lcsh:QD1-999 ,lcsh:TA1-2040 ,Parkinson’s disease ,lcsh:Engineering (General). Civil engineering (General) ,business ,lcsh:Physics ,030217 neurology & neurosurgery - Abstract
The purpose of this study was to determine whether a support vector machine (SVM) model based on quantitative susceptibility mapping (QSM) can be used to differentiate iron accumulation in the deep grey matter of early Parkinson&rsquo, s disease (PD) patients from healthy controls (HC) and Non-Motor Symptoms Scale (NMSS) scores in early PD patients. QSM values on magnetic resonance imaging (MRI) were obtained for 24 early PD patients and 27 age-matched HCs. The mean QSM values in deep grey matter areas were used to construct SVM and logistic regression (LR) models to differentiate between early PD patients and HCs. Additional SVM and LR models were constructed to differentiate between low and high NMSS scores groups. A paired t-test was used to assess the classification results. For the differentiation between early PD patients and HCs, SVM had an accuracy of 0.79 ±, 0.07, and LR had an accuracy of 0.73 ±, 0.03 (p = 0.027). SVM for NMSS classification had a fairly high accuracy of 0.79 ±, 0.03, while LR had 0.76 ±, 0.04. An SVM model based on QSM offers competitive accuracy for screening early PD patients and evaluates non-motor symptoms, which may offer clinicians the ability to assess the progression of motor symptoms in the patient population.
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- 2020
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21. Investigation of short-term, high-temperature oxidation of AlCrN coating on WC substrate
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Byeong-Seo Son, Heesoo Lee, Jiseung Ryu, Seon-Hong Lee, and Gi-Tae Park
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Materials science ,Oxide ,General Physics and Astronomy ,chemistry.chemical_element ,02 engineering and technology ,engineering.material ,010402 general chemistry ,01 natural sciences ,Focused ion beam ,chemistry.chemical_compound ,Chromium ,X-ray photoelectron spectroscopy ,Coating ,Tungsten carbide ,Chromium nitride ,Surfaces and Interfaces ,General Chemistry ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,0104 chemical sciences ,Surfaces, Coatings and Films ,chemistry ,Chemical engineering ,engineering ,0210 nano-technology ,Layer (electronics) - Abstract
A surface analysis was performed on an aluminum chromium nitride (AlCrN) coating formed on a tungsten carbide (WC) substrate subjected to short-term (in minutes) oxidation at an elevated temperature (900 °C) using focused ion beam (FIB), X-ray photoelectron spectroscopy (XPS), grazing incidence X-ray diffraction (GI-XRD), and laser-induced breakdown spectroscopy (LIBS). To separately analyze a coating with a thickness of several micrometers, the GI-XRD method was used. For cross-sectional imaging, the samples were milled using an FIB system, and chemical bonding states and surface elemental concentrations were analyzed by XPS. Within just a few seconds, the color of the AlCrN coating surface changed irregularly and, after 10 min, the entire coating layer surface changed. The entire coating surface oxidation as discoloration progressed in partial areas after 30 min. Based on the GI-XRD and XPS results, after 1 min, alumina and chromium oxides formed on the outermost surface, and after 10 min, Cr-W and Co-W oxide phases appeared, resulting from a reaction with WC near the interface. The atomic concentration of nitrogen in the AlCrN coating decreased after few seconds on the outermost surface and was almost eliminated after 10 min; oxygen showed the opposite trend. Finally, the FIB and LIBS results showed that voids formed within the coating layer and interface at high temperatures, and diffusion of Al and Cr in subsequent reactions was identified. This work demonstrates interesting results from various analyses that differ from previously reported AlCrN coating oxidation behaviors, and could provide a better understanding of long-term reactions for the surface oxidation of AlCrN coatings at high temperatures.
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- 2020
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22. Effect of substrate roughness and working pressure on photocatalyst of N-doped TiO films prepared by reactive sputtering with air
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Hideyuki Okumura, Keiichi N. Ishihara, Eiji Yamasue, and Seon-Hong Lee
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Materials science ,Argon ,Doping ,Inorganic chemistry ,General Physics and Astronomy ,chemistry.chemical_element ,Surfaces and Interfaces ,General Chemistry ,Surface finish ,Condensed Matter Physics ,Nitrogen ,Surfaces, Coatings and Films ,Condensed Matter::Materials Science ,chemistry ,Chemical engineering ,Sputtering ,Condensed Matter::Superconductivity ,Cavity magnetron ,Photocatalysis ,Surface roughness ,Physics::Chemical Physics - Abstract
N-doped TiO x films on the glass substrate were prepared by radio-frequency (RF) magnetron reactive sputtering of Ti target in a mixed gas of argon and dry air. The effect of substrate roughness and working pressure on the physical properties and the photocatalytic properties of the N-doped TiO x films was investigated. The surface roughness of glass substrate has little influence on the film properties such as produced phases, lattice parameters, introduced nitrogen contents, and atomic bonding configurations, but significant influence on the surface roughness of film resulting in the variation of the photocatalytic ability. The working pressure has little influence on the produced phases and the atomic bonding configurations, but significant influence on the atomic concentration of the N-doped TiO x film, resulting in the large variation of optical, structural, and photocatalytic properties. It is suggested that the high photocatalysis of N-doped TiO x film requires a certain range of the N doping concentration which shows the interstitial complex N doping states in TiO 2 .
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- 2015
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23. Surface properties of fluoroethylene carbonate-derived solid electrolyte interface on graphite negative electrode by narrow-range cycling in cell formation process
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Seon-Hong Lee
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Chemistry ,Scanning electron microscope ,Analytical chemistry ,General Physics and Astronomy ,Surfaces and Interfaces ,General Chemistry ,Electrolyte ,Condensed Matter Physics ,Acceleration voltage ,Surfaces, Coatings and Films ,Chemical engineering ,X-ray photoelectron spectroscopy ,Electrode ,Graphite ,Layer (electronics) ,Faraday efficiency - Abstract
A modified solid electrolyte interface (SEI) on a graphite negative electrode with a fluoroethylene carbonate (FEC) additive was prepared by narrow-range cycling in a cell formation process. The SEI surface properties were investigated by extreme high-resolution scanning electron microscopy (XHR-SEM) under low acceleration voltage and X-ray photoelectron spectroscopy (XPS). A linkage structure of submicron-sized particles on the SEI film layer largely developed by narrow-range cycling in the formation process; these particles were mainly composed of the inorganic component (P F bonding states, LiPxOyFz) from the FEC. The application of narrow-range cycling with an FEC additive in the formation process improves the cycling performance and Coulombic efficiency of the cell. It is suggested that the SEI layer modified with FEC-derived SEI components on the graphite anode electrode by narrow-range cycling in the formation process, could improve the cell performance.
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- 2014
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24. Surface analysis of the solid electrolyte interface formed by additives on graphite electrodes in Li-ion batteries using XPS, FE-AES, and XHR-SEM techniques
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Seon-Hong Lee, Kim Jake, and Ie-Su Jo
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Materials science ,Surfaces and Interfaces ,General Chemistry ,Electrolyte ,Condensed Matter Physics ,Surfaces, Coatings and Films ,Ion ,Field electron emission ,chemistry.chemical_compound ,Chemical engineering ,X-ray photoelectron spectroscopy ,chemistry ,Electrode ,Materials Chemistry ,Carbonate ,Layer (electronics) ,Nanoscopic scale - Abstract
We investigate the formation and distribution of the solid electrolyte interface (SEI) layer on a graphite anode with two additives [vinylethylene carbonate (VEC) and vinylene carbonate (VC)] in a formation process using XPS, field emission AES, and extreme high-resolution SEM (XHR-SEM) techniques, and we studied what factors play an important role in determining the formation of the SEI layer. The VEC-derived SEI behaviors (morphology, thickness, compound, and balance over electrode position) on a graphite anode largely depend on the elevated temperature. The VC-derived SEI layer is mostly formed in the initial charging step, showing simple growth (formation) behavior. It is suggested that the properties of the additives are important for SEI bonding configurations at the nanoscale film surface, and to achieve the stable SEI layer, there appears to be an effective formation process for the additive properties. This research highlights the challenges of developing a stable SEI layer with additives in the formation process for electric vehicle batteries and would make a contribution to the understanding of how formation conditions affect an SEI layer with respect to additive properties. Copyright © 2014 John Wiley & Sons, Ltd.
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- 2014
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25. A new approach to surface properties of solid electrolyte interphase on a graphite negative electrode
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Joo-Han Song, Seon-Hong Lee, Kyusuk Han, In-Ho Jung, Kim Jake, and Ho-Gon You
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Renewable Energy, Sustainability and the Environment ,Chemistry ,Scanning electron microscope ,Analytical chemistry ,Energy Engineering and Power Technology ,Electrolyte ,Acceleration voltage ,Secondary electrons ,X-ray photoelectron spectroscopy ,Chemical engineering ,Transmission electron microscopy ,Electrode ,Graphite ,Electrical and Electronic Engineering ,Physical and Theoretical Chemistry - Abstract
A new method for observing the outermost surface morphology and the thickness of solid electrolyte interphase (SEI) are presented. Low acceleration voltage in extreme high resolution scanning electron microscopy (XHR-SEM) provides detailed information on the SEI surface morphology due to secondary electron contrast mechanism. Also, XHR-SEM under low acceleration voltage with low energy induced ion etching in x-ray photoelectron spectroscopy (XPS) studies provides valuable information on the SEI layer thickness. More detailed properties of the SEI layer were investigated by transmission electron microscopy (TEM).
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- 2014
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26. Photocatalysis and surface doping states of N-doped TiOx films prepared by reactive sputtering with dry air
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Hideyuki Okumura, Keiichi N. Ishihara, Seon-Hong Lee, and Eiji Yamasue
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Anatase ,Argon ,Chemistry ,Band gap ,Process Chemistry and Technology ,Doping ,Mineralogy ,chemistry.chemical_element ,Catalysis ,Condensed Matter::Materials Science ,X-ray photoelectron spectroscopy ,Impurity ,Chemical physics ,Sputtering ,Condensed Matter::Superconductivity ,Photocatalysis ,Physics::Chemical Physics ,General Environmental Science - Abstract
Complex N (NO)-doped TiOx films on the glass substrate were prepared by radio-frequency (RF) magnetron reactive sputtering of Ti target in a mixed gas of argon and dry air with low oxygen concentrations. The surface doping states and energy band gap properties were studied by XPS and density-functional theory (DFT) applied to a 2 × 2 × 1 supercell of N-doped TiO2 with oxygen deficiency. Although all the films exhibit an anatase structure, the photocatalytic properties as well as other film properties (lattice parameters, grain sizes, introduced nitrogen contents, and optical properties) largely depend on the air flow ratios. The electronic bonding configurations at the nanoscale film surface are extremely important for photocatalysis, and there appears an optimal surface nitrogen amount incorporated in the anatase TiO2 lattice. Reduced Ti ions (and regions) at the nanoscale surface are proposed to play an important role by providing a local charge imbalance through the Schottky-barrier-like mechanism. Our DFT calculation shows the modified band calculation, especially for the film surface, involving both oxygen deficiency and N (NO) doping is important, due to the variation in the number and location of the impurity levels in the energy band gap. It is suggested that interstitial NOx (or substitutional NO) doping states with oxygen vacancy involving N–Ti–O or Ti–N–O bondings (linkages) are more effective on photocatalysis than the substitutional N doping states with oxygen vacancy. The seemingly desired impurity energy level(s) introduced in the electronic band gap does not necessarily improve photocatalysis, despite the desired optical properties observed, due to the active recombination sites newly produced and the complexity of the nanoscale surface science.
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- 2010
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27. Effect of oxygen and nitrogen concentration of nitrogen doped TiOx film as photocatalyst prepared by reactive sputtering
- Author
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Hideyuki Okumura, Eiji Yamasue, Keiichi N. Ishihara, and Seon-Hong Lee
- Subjects
Chemistry ,Process Chemistry and Technology ,Doping ,Inorganic chemistry ,chemistry.chemical_element ,Oxygen ,Catalysis ,Condensed Matter::Materials Science ,chemistry.chemical_compound ,X-ray photoelectron spectroscopy ,Sputtering ,Condensed Matter::Superconductivity ,Photocatalysis ,Condensed Matter::Strongly Correlated Electrons ,Limiting oxygen concentration ,Nitrogen oxide ,Physics::Chemical Physics ,NOx - Abstract
The N-doped TiOx films were prepared by radio-frequency (RF) magnetron reactive sputtering of Ti target in a mixed gas of Ar, O2 and N2. The effects of varying oxygen and nitrogen flow ratios on the physical properties and photocatalytic properties with defect formation energies using DFT calculations were investigated, and the photocatalytic ability was evaluated by decomposition of NO gas. The photocatalytic properties as well as other film properties such as lattice parameters, grain sizes, surface atomic contents, surface doping configurations, and optical properties strongly depend on the gas flow ratios. The N-doping configuration in TiO2 is significantly affected by the oxygen concentration in sputtering, based on the XPS and the defect formation energy results. Also, the visible light photocatalysis of N-doped TiOx film requires a certain range of oxygen and nitrogen concentrations in the sputtering process. The substitutional N-doped TiO2 has weak photocatalysis compared with the interstitial N (or NOx)-doped TiO2, suggesting that the interstitial N (NOx)-doping states with the oxygen deficiency are more effective for photocatalysis than the substitutional N-doping states with the oxygen deficiency, probably due to the variation in the number and location of the impurity levels (active recombination sites) in the energy band gap.
- Published
- 2009
- Full Text
- View/download PDF
28. Preparation of N-Doped TiOx Films as Photocatalyst Using Reactive Sputtering with Dry Air
- Author
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Keiichi N. Ishihara, Hideyuki Okumura, Eiji Yamasue, and Seon-Hong Lee
- Subjects
chemistry.chemical_compound ,Materials science ,chemistry ,Mechanics of Materials ,Sputtering ,Mechanical Engineering ,Titanium dioxide ,Inorganic chemistry ,Doping ,Photocatalysis ,Nitrogen doping ,General Materials Science ,Condensed Matter Physics - Abstract
—A-0 0.063 0.70 0.013 0.049 A-1 0.086 0.72 0.018 0.069 A-2 0.125 0.75 0.026 0.099 A-3 0.136 0.76 0.029 0.109 A-4 0.150 0.76 0.032 0.119 A-5 0.163 0.77 0.034 0.128 A-6 0.175 0.78 0.037 0.138 A-7 0.188 0.78 0.039 0.148 A-8 0.200 0.80 0.042 0.158
- Published
- 2009
- Full Text
- View/download PDF
29. Nano-web formation by the electrospinning at various electric fields
- Author
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Seon-Hong Lee, Chang-Suk Kong, Hwan Soo Kim, and Tongsup Lee
- Subjects
Jet (fluid) ,Materials science ,Mechanical Engineering ,Nanotechnology ,Mechanics ,Electrospinning ,Surface tension ,Synthetic fiber ,Mechanics of Materials ,Electric field ,Nanofiber ,Electrode ,Nano ,General Materials Science - Abstract
Electrospinning is a process in which an electrified liquid jet is ejected by the interaction between the surface tension and the exerted electric force on the droplet surface. It is important to understand the effects of an electric field on the path of the ejected jet from the droplet to the opposite electrode in the electrospinning process. The effects of electric fields on the formation of nano-webs are presented in this paper. As the design of the electrodes varies, the ejected jets were deposit on the screen, exhibiting different or chareateristics. The design of the electric field is a significant parameter in the attempt to control nano-web formation.
- Published
- 2007
- Full Text
- View/download PDF
30. Nucleation and crystallization kinetics of CaO-Al2O3-2SiO2 in powdered anorthite glass
- Author
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Bong-Ki Ryu, H. S. Lee, Seon-Hong Lee, Itaru Yasui, M. M. Son, and Hwan-Man Park
- Subjects
Materials science ,Precipitation (chemistry) ,Mechanical Engineering ,Nucleation ,Mineralogy ,Thermodynamics ,Crystal growth ,Activation energy ,engineering.material ,Anorthite ,Kinetic energy ,law.invention ,Mechanics of Materials ,law ,Differential thermal analysis ,engineering ,General Materials Science ,Crystallization - Abstract
The nucleation and crystallization kinetics of CaO-Al2O3-2SiO2 crystals in powdered anorthite glass with particle size
- Published
- 1996
- Full Text
- View/download PDF
31. Characteristics of Plasma Sprayed BSCCO Superconductor Coatings with Annealing Time After Partial Melt Process
- Author
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Jeong-Sik Park, Kyeung-Chae Park, and Seon-Hong Lee
- Subjects
Superconductivity ,Materials science ,Annealing (metallurgy) ,Whiskers ,Metallurgy ,Nucleation ,Analytical chemistry ,Plasma ,engineering.material ,Coating ,engineering ,Diamagnetism ,General Materials Science ,Thermal spraying - Abstract
【$Bi_2Sr_2CaCu_2O_x$ (Bi-2212) and $Bi_2Sr_2Ca_2Cu_3O_y$ (Bi-2223) high-Tc superconductors(HTS) have been manufactured by plasma spraying, partial melt process(PMP) and annealing treatment(AT). A Bi-2212/2223 HTS coating layer was synthesized through the peritectic reaction between a 0212 oxide coating layer and 2001 oxide coating layer by the PMP-AT process. The 2212 HTS layer consists of whiskers grown in the diffusion direction. The Bi-2223 phase and secondary phase in the Bi-2212 layer were observed. The secondary phase was distributed uniformly over the whole layer. As annealing time goes on, the Bi-2212 phase decreases with mis-orientation and irregular shape, but the Bi-2223 phase increases because a new Bi-2223 phase is formed inside the pre-existing Bi-2212 crystals, and because of the nucleation of a Bi-2223 phase at the edge of Bi-2212 crystals by diffusion of Ca and Cu-O bilayers. In this study the spray coated layer showed superconducting transitions with an onset Tc of about both 115 K, and 50 K. There were two steps. Step 1 at 115 K is due to the diamagnetism of the Bi-2223 phase and step 2 at 50 K is due to the diamagnetism of the Bi-2212 phase.】
- Published
- 2014
- Full Text
- View/download PDF
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