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Article: Too Much Information: Assessing Privacy Risks of Contact Trace Data Disclosure on People With COVID-19 in South Korea.

Jung, Gyuwon / Lee, Hyunsoo / Kim, Auk / Lee, Uichin

2020 Volume 8, Page(s) 305

Abstract: Introduction: ...

Abstract	Introduction:
MeSH term(s)	COVID-19 ; Disclosure ; Humans ; Privacy ; Republic of Korea/epidemiology ; SARS-CoV-2
Keywords	covid19
Language	English
Publishing date	2020-06-18
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2711781-9
ISSN	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2020.00305
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Insampaedok-San Extract Exerts an Immune-Enhancing Effect through NF-

Huh, Gyuwon / Oh, Youngse / Jeon, Youngsic / Kang, Ki Sung / Kim, Su Nam / Jung, Sang Hoon / Kim, Seung Hyun / Kim, Young-Joo

BioMed research international

2023 Volume 2023, Page(s) 5458504

Abstract: Insampaedok-san (IS) has traditionally been prescribed as a medication for cold-related symptoms in Northeast Asia, including Korea and China. In this study, we focused on elucidating the molecular mechanism underlying the immunomodulatory activity of IS ...

Abstract	Insampaedok-san (IS) has traditionally been prescribed as a medication for cold-related symptoms in Northeast Asia, including Korea and China. In this study, we focused on elucidating the molecular mechanism underlying the immunomodulatory activity of IS water extract (ISE) in macrophages. ISE significantly enhanced the levels of nitric oxide (NO) and prostaglandin E2 (PGE
MeSH term(s)	NF-kappa B/metabolism ; Interleukin-6/metabolism ; Anti-Inflammatory Agents/pharmacology ; Anti-Inflammatory Agents/therapeutic use ; Signal Transduction ; RNA, Messenger ; Lipopolysaccharides/pharmacology ; Nitric Oxide/metabolism ; Nitric Oxide Synthase Type II/metabolism ; Cyclooxygenase 2/genetics ; Cyclooxygenase 2/metabolism
Chemical Substances	NF-kappa B ; Interleukin-6 ; Anti-Inflammatory Agents ; RNA, Messenger ; Lipopolysaccharides ; Nitric Oxide (31C4KY9ESH) ; Nitric Oxide Synthase Type II (EC 1.14.13.39) ; Cyclooxygenase 2 (EC 1.14.99.1)
Language	English
Publishing date	2023-09-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	2698540-8
ISSN	2314-6141 ; 2314-6133
ISSN (online)	2314-6141
ISSN	2314-6133
DOI	10.1155/2023/5458504
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Article ; Online: Too Much Information

Gyuwon Jung / Hyunsoo Lee / Auk Kim / Uichin Lee

Frontiers in Public Health, Vol

Assessing Privacy Risks of Contact Trace Data Disclosure on People With COVID-19 in South Korea

2020 Volume 8

Abstract: Introduction: With the COVID-19 outbreak, South Korea has been making contact trace data public to help people self-check if they have been in contact with a person infected with the coronavirus. Despite its benefits in suppressing the spread of the ... ...

Abstract	Introduction: With the COVID-19 outbreak, South Korea has been making contact trace data public to help people self-check if they have been in contact with a person infected with the coronavirus. Despite its benefits in suppressing the spread of the virus, publicizing contact trace data raises concerns about individuals' privacy. In view of this tug-of-war between one's privacy and public safety, this work aims to deepen the understanding of privacy risks of contact trace data disclosure practices in South Korea.Method: In this study, publicly available contact trace data of 970 confirmed patients were collected from seven metropolitan cities in South Korea (20th Jan–20th Apr 2020). Then, an ordinal scale of relative privacy risk levels was introduced for evaluation, and the assessment was performed on the personal information included in the contact trace data, such as demographics, significant places, sensitive information, social relationships, and routine behaviors. In addition, variance of privacy risk levels was examined across regions and over time to check for differences in policy implementation.Results: It was found that most of the contact trace data showed the gender and age of the patients. In addition, it disclosed significant places (home/work) ranging across different levels of privacy risks in over 70% of the cases. Inference on sensitive information (hobby, religion) was made possible, and 48.7% of the cases exposed the patient's social relationships. In terms of regional differences, a considerable discrepancy was found in the privacy risk for each category. Despite the recent release of government guidelines on data disclosure, its effects were still limited to a few factors (e.g., workplaces, routine behaviors).Discussion: Privacy risk assessment showed evidence of superfluous information disclosure in the current practice. This study discusses the role of “identifiability” in contact tracing to provide new directions for minimizing disclosure of privacy infringing information. Analysis of ...
Keywords	privacy ; contact tracing ; COVID-19 ; data disclosure ; personal data ; travel log ; Public aspects of medicine ; RA1-1270 ; covid19
Subject code	303
Language	English
Publishing date	2020-06-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Case Study on Microphysical Characteristics of Mesoscale Convective System Using Generalized DSD Parameters Retrieved from Dual-Polarimetric Radar Observations

Soohyun Kwon / Sung-Hwa Jung / Gyuwon Lee

Remote Sensing, Vol 12, Iss 1812, p

2020 Volume 1812

Abstract: The microphysical characteristics of a mesoscale convective system (MCS) during a summer monsoon of South Korea are investigated using the generalized drop size distributions (DSD) that are derived from S-band dual-polarization radar data. The ... ...

Abstract	The microphysical characteristics of a mesoscale convective system (MCS) during a summer monsoon of South Korea are investigated using the generalized drop size distributions (DSD) that are derived from S-band dual-polarization radar data. The characteristics parameters of generalized DSDs (generalized number concentration, N 0′ and generalized mean diameter, D m ) are directly calculated from DSD’s two moments without any assumption on the DSD model. Relationships between Z DR and generalized DSD parameters normalized by Z H are derived in the form of the polynomial equation. Verification of the retrieved DSD parameters is conducted with the 2-D video disdrometer (2DVD) located about 23 km from the radar. The standard deviations (SD) of retrieved DSD parameters are about 0.26 for log N 0′ , and about 0.11 for D m because of the variability of DSDs. The SD of the retrieved log N 0′ from the dual-polarimetric measurement reaches to about 0.46 (almost double) for 11 rain events while the accuracy of retrieved D m is quite higher (~0.19). This higher error in retrieved log N 0′ is likely attributed to the larger discrepancy in radar-observed and DSD-calculated Z DR when Z H is low. This retrieval technique is applied to a mesoscale convective system (MCS) case to investigate the Lagrangian characteristics of the microphysical process. The MCS is classified into the leading edge and trailing stratiform region by using the storm classification algorithm. The leading edge dominated by strong updraft showed the broad DSD spectra with a steady temporal increase of D m throughout the event, likely because of the dominant drop growth by the collision-coalescence process. On the other hand, the drop growth is less significant in the trailing stratiform region as shown by the nearly constant D m for the entire period. The DSD variation is also controlled by the new generation of drops in the leading edge and less extent in the trailing stratiform during the early period when precipitation systems grow. When the system ...
Keywords	drop size distribution ; S-band dual-polarization radar ; microphysics ; DSD retrieval ; mesoscale convective system ; Science ; Q
Subject code	290
Language	English
Publishing date	2020-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Too Much Information

Jung, Gyuwon / Lee, Hyunsoo / Kim, Auk / Lee, Uichin

Frontiers in Public Health

Assessing Privacy Risks of Contact Trace Data Disclosure on People With COVID-19 in South Korea

2020 Volume 8

Keywords	covid19
Publisher	Frontiers Media SA
Publishing country	ch
Document type	Article ; Online
ZDB-ID	2711781-9
ISSN	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2020.00305
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: High throughput screening of mesenchymal stem cell lines using deep learning.

Kim, Gyuwon / Jeon, Jung Ho / Park, Keonhyeok / Kim, Sung Won / Kim, Do Hyun / Lee, Seungchul

Scientific reports

2022 Volume 12, Issue 1, Page(s) 17507

Abstract: Mesenchymal stem cells (MSCs) are increasingly used as regenerative therapies for patients in the preclinical and clinical phases of various diseases. However, the main limitations of such therapies include functional heterogeneity and the lack of ... ...

Abstract	Mesenchymal stem cells (MSCs) are increasingly used as regenerative therapies for patients in the preclinical and clinical phases of various diseases. However, the main limitations of such therapies include functional heterogeneity and the lack of appropriate quality control (QC) methods for functional screening of MSC lines; thus, clinical outcomes are inconsistent. Recently, machine learning (ML)-based methods, in conjunction with single-cell morphological profiling, have been proposed as alternatives to conventional in vitro/vivo assays that evaluate MSC functions. Such methods perform in silico analyses of MSC functions by training ML algorithms to find highly nonlinear connections between MSC functions and morphology. Although such approaches are promising, they are limited in that extensive, high-content single-cell imaging is required; moreover, manually identified morphological features cannot be generalized to other experimental settings. To address these limitations, we propose an end-to-end deep learning (DL) framework for functional screening of MSC lines using live-cell microscopic images of MSC populations. We quantitatively evaluate various convolutional neural network (CNN) models and demonstrate that our method accurately classifies in vitro MSC lines to high/low multilineage differentiating stress-enduring (MUSE) cells markers from multiple donors. A total of 6,120 cell images were obtained from 8 MSC lines, and they were classified into two groups according to MUSE cell markers analyzed by immunofluorescence staining and FACS. The optimized DenseNet121 model showed area under the curve (AUC) 0.975, accuracy 0.922, F1 0.922, sensitivity 0.905, specificity 0.942, positive predictive value 0.940, and negative predictive value 0.908. Therefore, our DL-based framework is a convenient high-throughput method that could serve as an effective QC strategy in future clinical biomanufacturing processes.
MeSH term(s)	Humans ; Deep Learning ; High-Throughput Screening Assays ; Alprostadil/metabolism ; Mesenchymal Stem Cells ; Machine Learning
Chemical Substances	Alprostadil (F5TD010360)
Language	English
Publishing date	2022-10-20
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-022-21653-y
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: A Case Study on Microphysical Characteristics of Mesoscale Convective System Using Generalized DSD Parameters Retrieved from Dual-Polarimetric Radar Observations

Kwon, Soohyun / Jung, Sung-Hwa / Lee, GyuWon

Remote Sensing. 2020 June 03, v. 12, no. 11

2020

Abstract	The microphysical characteristics of a mesoscale convective system (MCS) during a summer monsoon of South Korea are investigated using the generalized drop size distributions (DSD) that are derived from S-band dual-polarization radar data. The characteristics parameters of generalized DSDs (generalized number concentration, N₀′ and generalized mean diameter, Dₘ) are directly calculated from DSD’s two moments without any assumption on the DSD model. Relationships between ZDR and generalized DSD parameters normalized by ZH are derived in the form of the polynomial equation. Verification of the retrieved DSD parameters is conducted with the 2-D video disdrometer (2DVD) located about 23 km from the radar. The standard deviations (SD) of retrieved DSD parameters are about 0.26 for log N₀′, and about 0.11 for Dₘ because of the variability of DSDs. The SD of the retrieved log N₀′ from the dual-polarimetric measurement reaches to about 0.46 (almost double) for 11 rain events while the accuracy of retrieved Dₘ is quite higher (~0.19). This higher error in retrieved log N₀′ is likely attributed to the larger discrepancy in radar-observed and DSD-calculated ZDR when ZH is low. This retrieval technique is applied to a mesoscale convective system (MCS) case to investigate the Lagrangian characteristics of the microphysical process. The MCS is classified into the leading edge and trailing stratiform region by using the storm classification algorithm. The leading edge dominated by strong updraft showed the broad DSD spectra with a steady temporal increase of Dₘ throughout the event, likely because of the dominant drop growth by the collision-coalescence process. On the other hand, the drop growth is less significant in the trailing stratiform region as shown by the nearly constant Dₘ for the entire period. The DSD variation is also controlled by the new generation of drops in the leading edge and less extent in the trailing stratiform during the early period when precipitation systems grow. When the system weakens, the characteristic number concentration decreases with time, indicating the new generation of drops becomes less significant in both regions.
Keywords	algorithms ; case studies ; equations ; models ; monsoon season ; radar ; rain ; remote sensing ; standard deviation ; storms ; summer ; South Korea
Language	English
Dates of publication	2020-0603
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs12111812
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Statistical Characteristics of Cloud Occurrence and Vertical Structure Observed by a Ground-Based Ka-Band Cloud Radar in South Korea

Bo-Young Ye / Eunsil Jung / Seungsook Shin / GyuWon Lee

Remote Sensing, Vol 12, Iss 2242, p

2020 Volume 2242

Abstract: The cloud measurements for two years from the vertical pointing Ka-band cloud radar at Boseong in Korea are used to analyze detailed cloud properties. The reflectivity of the cloud radar is calibrated with other vertical pointing radars compared with the ...

Abstract	The cloud measurements for two years from the vertical pointing Ka-band cloud radar at Boseong in Korea are used to analyze detailed cloud properties. The reflectivity of the cloud radar is calibrated with other vertical pointing radars compared with the two disdrometers. A simple threshold-based quality control method is applied to eliminate non-meteorological echoes (insects and noise) in conjunction with despeckling along the radial direction. Clouds are classified into five types: high (HC), middle (MC), low (LC) for non-precipitating clouds, and deep (RainDP) and shallow (RainSH) for precipitating clouds. The average cloud frequency was about 35.9% with the maximum frequency of 50% in June for the total two-year sampling period. The RainDP occurred most frequently (11.8%), followed by HC (9.3%), MC (7.4%), RainSH (4.4%), and LC (2.9%) out of the average occurrence of the total 35.9%. HC and RainDP were frequently observed in summer and autumn, while RainSH, LC, and MC were dominant in the winter due to the dominant cloud development by the air-sea interaction during the cold air outbreak. The HC showed a significant seasonal variation of the maximum height and the rapid growth in the layer above 7 km (about −15 °C) in summer and autumn. This rapid growth appears in HC, MC, LC, and RainDP and is linked with rapid increases in Doppler velocity and mass flux. Thus, this growth is originated from the dominant riming processes in addition to depositional growth and is supported by an updraft in the layer between 6 and 8 km. MC showed a single frequency peak around 6 km with rapid growth above and strong evaporation below. The Doppler velocity of MC rapidly increases above 8 km and is nearly constant below this height due to strong evaporation except in the summer. LC had a similar trend of reflectivity (rapid growth in the HC region and strong evaporation in the lower region) lacking high frequency in the MC region. Unlike LC, the RainDP had continuous growth toward the ground in the entire layer with rapid ...
Keywords	cloud occurrence ; vertical structure ; cloud radar ; cloud types ; cloud and precipitation modes ; updraft ; Science ; Q
Subject code	551
Language	English
Publishing date	2020-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Interfacial Reactions and Mechanical Properties of Sn-58Bi Solder Joints with Ag Nanoparticles Prepared Using Ultra-Fast Laser Bonding.

Jeong, Gyuwon / Yu, Dong-Yurl / Baek, Seongju / Bang, Junghwan / Lee, Tae-Ik / Jung, Seung-Boo / Kim, JungSoo / Ko, Yong-Ho

Materials (Basel, Switzerland)

2021 Volume 14, Issue 2

Abstract: The effects of Ag nanoparticle (Ag NP) addition on interfacial reaction and mechanical properties of Sn-58Bi solder joints using ultra-fast laser soldering were investigated. Laser-assisted low-temperature bonding was used to solder Sn-58Bi based pastes, ...

Abstract	The effects of Ag nanoparticle (Ag NP) addition on interfacial reaction and mechanical properties of Sn-58Bi solder joints using ultra-fast laser soldering were investigated. Laser-assisted low-temperature bonding was used to solder Sn-58Bi based pastes, with different Ag NP contents, onto organic surface preservative-finished Cu pads of printed circuit boards. The solder joints after laser bonding were examined to determine the effects of Ag NPs on interfacial reactions and intermetallic compounds (IMCs) and high-temperature storage tests performed to investigate its effects on the long-term reliabilities of solder joints. Their mechanical properties were also assessed using shear tests. Although the bonding time of the laser process was shorter than that of a conventional reflow process, Cu-Sn IMCs, such as Cu
Language	English
Publishing date	2021-01-11
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2487261-1
ISSN	1996-1944
ISSN	1996-1944
DOI	10.3390/ma14020335
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Article ; Online: A Detection of Convectively Induced Turbulence Using in Situ Aircraft and Radar Spectral Width Data

Jung-Hoon Kim / Ja-Rin Park / Soo-Hyun Kim / Jeonghoe Kim / Eunjeong Lee / SeungWoo Baek / Gyuwon Lee

Remote Sensing, Vol 13, Iss 4, p

2021 Volume 726

Abstract: A commercial aircraft, departing from Seoul to Jeju Island in South Korea, encountered a convectively induced turbulence (CIT) at about z = 2.2 km near Seoul on 28 October 2018. At this time, the observed radar reflectivity showed that the convective ... ...

Abstract	A commercial aircraft, departing from Seoul to Jeju Island in South Korea, encountered a convectively induced turbulence (CIT) at about z = 2.2 km near Seoul on 28 October 2018. At this time, the observed radar reflectivity showed that the convective band with cloud tops of z = 6–7 km passed the CIT region with high values of spectral width (SW; larger than 4 m s –1 ). Using the 1 Hz wind data recorded by the aircraft, we estimated an objective intensity of the CIT as a cube root of eddy dissipation rate (EDR) based on the inertial range technique, which was about 0.33–0.37 m 2/3 s −1 . Radar-based EDR was also derived by lognormal mapping technique (LMT), showing that the EDR was about 0.3–0.35 m 2/3 s −1 near the CIT location, which is consistent with in situ EDR. In addition, a feasibility of the CIT forecast was tested using the weather and research forecast (WRF) model with a 3 km horizontal grid spacing. The model accurately reproduced the convective band passing the CIT event with an hour delay, which allows the use of two methods to calculate EDR: The first is using both the sub-grid and resolved turbulent kinetic energy to infer the EDR; the second is using the LMT for converting absolute vertical velocity (and its combination with the Richardson number) to EDR-scale. As a result, we found that the model-based EDRs were about 0.3–0.4 m 2/3 s −1 near the CIT event, which is consistent with the estimated EDRs from both aircraft and radar observations.
Keywords	convectively induced turbulence ; eddy dissipation rate ; in situ aircraft data ; radar spectral width ; numerical weather prediction ; Science ; Q
Subject code	333
Language	English
Publishing date	2021-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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