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Article ; Online: Electrosprayable Levan-Coated Nanoclusters and Ultrasound-Responsive Drug Delivery for Cancer Therapy.

Song, Young Hoon / Cho, Hye Min / Ryu, Yeong Chae / Hwang, Byeong Hee / Seo, Jeong Hyun

ACS applied materials & interfaces

2024 Volume 16, Issue 17, Page(s) 21509–21521

Abstract: In this study, we synthesized levan shell hydrophobic silica nanoclusters encapsulating doxorubicin (L-HSi-Dox) and evaluated their potential as ultrasound-responsive drug delivery systems for cancer treatment. L-HSi-Dox nanoclusters were successfully ... ...

Abstract	In this study, we synthesized levan shell hydrophobic silica nanoclusters encapsulating doxorubicin (L-HSi-Dox) and evaluated their potential as ultrasound-responsive drug delivery systems for cancer treatment. L-HSi-Dox nanoclusters were successfully fabricated by integrating a hydrophobic silica nanoparticle-doxorubicin complex as the core and an amphiphilic levan carbohydrate polymer as the shell by using an electrospray technique. Characterization analyses confirmed the stability, size, and composition of the nanoclusters. In particular, the nanoclusters exhibited a controlled release of Dox under aqueous conditions, demonstrating their potential as efficient drug carriers. The levanic groups of the nanoclusters enhanced the targeted delivery of Dox to specific cancer cells. Furthermore, the synergism between the nanoclusters and ultrasound effectively reduced cell viability and induced cell death, particularly in the GLUT5-overexpressing MDA-MB-231 cells. In a tumor xenograft mouse model, treatment with the nanoclusters and ultrasound significantly reduced the tumor volume and weight without affecting the body weight. Collectively, these results highlight the potential of the L-HSi-Dox nanoclusters and ultrasound as promising drug delivery systems with an enhanced therapeutic efficacy for biomedical applications.
MeSH term(s)	Doxorubicin/chemistry ; Doxorubicin/pharmacology ; Humans ; Animals ; Fructans/chemistry ; Fructans/pharmacology ; Mice ; Cell Line, Tumor ; Drug Carriers/chemistry ; Nanoparticles/chemistry ; Drug Delivery Systems ; Ultrasonic Waves ; Mice, Nude ; Female ; Cell Survival/drug effects ; Mice, Inbred BALB C ; Neoplasms/drug therapy ; Neoplasms/diagnostic imaging ; Neoplasms/pathology ; Silicon Dioxide/chemistry ; Xenograft Model Antitumor Assays
Chemical Substances	Doxorubicin (80168379AG) ; Fructans ; levan (9013-95-0) ; Drug Carriers ; Silicon Dioxide (7631-86-9)
Language	English
Publishing date	2024-04-20
Publishing country	United States
Document type	Journal Article
ISSN	1944-8252
ISSN (online)	1944-8252
DOI	10.1021/acsami.3c18774
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Asymmetric Influence of Dual-Task Interference on Anticipatory Postural Adjustments in One-Leg Stance.

Song, Young Hoon / Cho, Si Ni / Nam, Soo Mi

International journal of environmental research and public health

2022 Volume 19, Issue 18

Abstract: This study investigated the differences of anticipatory postural adjustments (APAs) in a one-leg stance (OLS) that appear according to lower-extremity dominance and dual-task interference. Thirteen young, healthy, male volunteers performed the OLS task ... ...

Abstract	This study investigated the differences of anticipatory postural adjustments (APAs) in a one-leg stance (OLS) that appear according to lower-extremity dominance and dual-task interference. Thirteen young, healthy, male volunteers performed the OLS task under the following six conditions: (1) dominant leg (DL), single-task; (2) DL, dual-task, with a low level of cognitive load (DT1/2); (3) DL, dual-task, with a high level of cognitive load (DT + 1); (4) non-dominant leg (NDL), single-task; (5) NDL, DT1/2; and (6) NDL, DT + 1. In order to measure the subjects' APA, we used the medial-lateral displacement of their centers of pressure and gravity from the force plate and the time-series data of joint angular motions, recorded using a 3D motion analysis system. In the NDL under the dual-task condition, the onset of APA was delayed and the amplitude declined, which resulted in an increase in the duration of the APA period. The number of components identified by principal component analysis differed according to the dominant foot, and the change caused by cognitive load was found only in the NDL. As the cognitive load increased, the variance of the principal component decreased. These findings show that dual-task interference asymmetrically influences APA according to limb dominance, which reorganizes the coordination strategy of joints' angular motion.
MeSH term(s)	Humans ; Leg ; Lower Extremity ; Male ; Movement ; Postural Balance ; Posture
Language	English
Publishing date	2022-09-08
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph191811289
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Article ; Online: Differences in extremes and uncertainties in future runoff simulations using SWAT and LSTM for SSP scenarios.

Song, Young Hoon / Chung, Eun-Sung / Shahid, Shamsuddin

The Science of the total environment

2022 Volume 838, Issue Pt 3, Page(s) 156162

Abstract: This study compared the performance of Long Short-Term Memory networks (LSTM) and Soil Water Assessment Tool (SWAT) in simulating observed runoff and projecting future runoff using 11 CMIP6 GCMs. The projected runoff was estimated for two Shared ... ...

Abstract	This study compared the performance of Long Short-Term Memory networks (LSTM) and Soil Water Assessment Tool (SWAT) in simulating observed runoff and projecting future runoff using 11 CMIP6 GCMs. The projected runoff was estimated for two Shared Socioeconomic Pathways (SSPs), 2-4.5 and 5-8.5 for near (2021-2060) and far (2061-2100) futures, respectively. The biases in GCM simulated climate variables were corrected using quantile mapping considering observations at 6 weather stations as reference data over the historical period (1985-2014). Five evaluation metrics were used to quantify the GCM's and hydrological models' capability to reconstruct climate variables and runoff in the Yeongsan Basin of South Korea. Uncertainties in LSTM and SWAT simulated runoff for the historical and projected periods were quantified using Bayesian Model Averaging (BMA) and reliability ensemble averaging (REA), respectively. The results showed significant improvement in bias-corrected GCMs in replicating observations in terms of all evaluation metrics. The extreme runoff estimated using general extreme value (GEV) distribution revealed the better capability of LSTM than SWAT in reproducing observed runoff at all gauging locations. The SWAT projected an increase (17.7%) while LSTM projected a decrease (-13.6%) in the future runoff for both SSPs at most locations. The uncertainty in LSTM simulated runoff was lower than in SWAT runoff at all stations for the historical period. However, the uncertainty in SWAT projected runoff was lower than LSTM projected runoff for both SSPs. This study helps assessing the ability of deep-learning versus physically-based models in hydrological modeling and therefore opens new perspectives for hydrological modeling applications.
MeSH term(s)	Bayes Theorem ; Models, Theoretical ; Reproducibility of Results ; Rivers ; Soil ; Uncertainty ; Water
Chemical Substances	Soil ; Water (059QF0KO0R)
Language	English
Publishing date	2022-05-29
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2022.156162
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Article ; Online: Uncertainties in evapotranspiration projections associated with estimation methods and CMIP6 GCMs for South Korea.

Song, Young Hoon / Chung, Eun-Sung / Shahid, Shamsuddin

The Science of the total environment

2022 Volume 825, Page(s) 153953

Abstract: This study compared the performance capabilities of three potential evapotranspiration (PET) methods, Thornthwaite (TW), Hargreaves and Samani (HS), and Penman-Monteith (PM), to simulate historical and future daily PET levels in South Korea using climate ...

Abstract	This study compared the performance capabilities of three potential evapotranspiration (PET) methods, Thornthwaite (TW), Hargreaves and Samani (HS), and Penman-Monteith (PM), to simulate historical and future daily PET levels in South Korea using climate variables from Coupled Model Intercomparison Project 6 (CMIP6) Global Climate Models (GCMs). Five evaluation metrics were used to quantify the reproducibility of the climate variables and PETs at ten stations in South Korea for the historical period used here (1985-2014). The changes and uncertainty associated with the changes in PET in the near (2031-2060) and far (2071-2100) futures were calculated for two shared socioeconomic pathways (SSPs) of 2-4.5 and 5-8.5. As a result, PETs estimated using the three methods for the historical period showed high performance in terms of five evaluation metrics. Overall, PETs showed an increase for both the future periods and the SSPs. The PET estimated using the PM method showed the greatest increase, while that estimated using HS showed the most modest increase in the future. The PM method also showed the highest reliability and lowest uncertainty in the PET estimations, while the opposite was true for HS. This study contributes to our understanding of rational PET methods by which to calculate hydrological factors such as drought indexes for future periods via GCM simulations.
MeSH term(s)	Climate Change ; Droughts ; Hydrology ; Reproducibility of Results ; Uncertainty
Language	English
Publishing date	2022-02-19
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2022.153953
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ab Jg. 2022: Lesesaal (EG)

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Article ; Online: The New Bias Correction Method for Daily Extremes Precipitation over South Korea using CMIP6 GCMs

Song, Young Hoon / Chung, Eun-Sung / Shahid, Shamsuddin

Water Resour Manage. 2022 Dec., v. 36, no. 15 p.5977-5997

2022

Abstract: Double gamma quantile mapping (DGQM) can outperform single gamma quantile mapping (SGQM) for bias correction of global circulation models (GCMs) using two gamma functions for two segments based on a specific quantile. However, there are two ambiguous ... ...

Abstract	Double gamma quantile mapping (DGQM) can outperform single gamma quantile mapping (SGQM) for bias correction of global circulation models (GCMs) using two gamma functions for two segments based on a specific quantile. However, there are two ambiguous points, the use of specific quantile and only Gamma probability distribution function. Therefore, this study introduced a flexible dividing point, δ (%), which can be adjusted to the regionally observed values at the station and consider the combination of various probability distributions for the two separate segments (e.g., Weibull, lognormal, and Gamma). The newly proposed method, flexible double distribution quantile mapping (F-DDQM), was employed to correct the bias of 8 GCMs of Coupled Model Intercomparison Project Phase 6 (CMIP6) at 22 stations in South Korea. The results clearly show a higher performance of F-DDQM than DGQM and Flexible-DGQM (F-DGQM) by 27% and 19%, respectively, in root mean square error. The F-DGQM also performed better in replicating probability distribution, spatial variability and extremes of observed precipitation than other methods. This study contributes to improving the bias correction method for better projection of extreme values.
Keywords	Weibull statistics ; models ; probability ; water ; South Korea
Language	English
Dates of publication	2022-12
Size	p. 5977-5997.
Publishing place	Springer Netherlands
Document type	Article ; Online
ZDB-ID	59924-4
ISSN	1573-1650 ; 0920-4741
ISSN (online)	1573-1650
ISSN	0920-4741
DOI	10.1007/s11269-022-03338-3
Database	NAL-Catalogue (AGRICOLA)

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Article: Uncertainties in evapotranspiration projections associated with estimation methods and CMIP6 GCMs for South Korea

Song, Young Hoon / Chung, Eun-Sung / Shahid, Shamsuddin

Science of the total environment. 2022 June 15, v. 825

2022

Abstract	This study compared the performance capabilities of three potential evapotranspiration (PET) methods, Thornthwaite (TW), Hargreaves and Samani (HS), and Penman-Monteith (PM), to simulate historical and future daily PET levels in South Korea using climate variables from Coupled Model Intercomparison Project 6 (CMIP6) Global Climate Models (GCMs). Five evaluation metrics were used to quantify the reproducibility of the climate variables and PETs at ten stations in South Korea for the historical period used here (1985–2014). The changes and uncertainty associated with the changes in PET in the near (2031–2060) and far (2071–2100) futures were calculated for two shared socioeconomic pathways (SSPs) of 2–4.5 and 5–8.5. As a result, PETs estimated using the three methods for the historical period showed high performance in terms of five evaluation metrics. Overall, PETs showed an increase for both the future periods and the SSPs. The PET estimated using the PM method showed the greatest increase, while that estimated using HS showed the most modest increase in the future. The PM method also showed the highest reliability and lowest uncertainty in the PET estimations, while the opposite was true for HS. This study contributes to our understanding of rational PET methods by which to calculate hydrological factors such as drought indexes for future periods via GCM simulations.
Keywords	drought ; evapotranspiration ; uncertainty ; South Korea
Language	English
Dates of publication	2022-0615
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2022.153953
Database	NAL-Catalogue (AGRICOLA)

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Article: Differences in extremes and uncertainties in future runoff simulations using SWAT and LSTM for SSP scenarios

Song, Young Hoon / Chung, Eun-Sung / Shahid, Shamsuddin

Science of the total environment. 2022 May 18,

2022

Abstract	This study compared the performance of Long Short-Term Memory networks (LSTM) and Soil Water Assessment Tool (SWAT) in simulating observed runoff and projecting future runoff using 11 CMIP6 GCMs. The projected runoff was estimated for two Shared Socioeconomic Pathways (SSPs), 2–4.5 and 5–8.5 for near (2021–2060) and far (2061–2100) futures, respectively. The biases in GCM simulated climate variables were corrected using quantile mapping considering observations at 6 weather stations as reference data over the historical period (1985–2014). Five evaluation metrics were used to quantify the GCM's and hydrological models' capability to reconstruct climate variables and runoff in the Yeongsan Basin of South Korea. Uncertainties in LSTM and SWAT simulated runoff for the historical and projected periods were quantified using Bayesian Model Averaging (BMA) and reliability ensemble averaging (REA), respectively. The results showed significant improvement in bias-corrected GCMs in replicating observations in terms of all evaluation metrics. The extreme runoff estimated using general extreme value (GEV) distribution revealed the better capability of LSTM than SWAT in reproducing observed runoff at all gauging locations. The SWAT projected an increase (17.7%) while LSTM projected a decrease (−13.6%) in the future runoff for both SSPs at most locations. The uncertainty in LSTM simulated runoff was lower than in SWAT runoff at all stations for the historical period. However, the uncertainty in SWAT projected runoff was lower than LSTM projected runoff for both SSPs. This study helps assessing the ability of deep-learning versus physically-based models in hydrological modeling and therefore opens new perspectives for hydrological modeling applications.
Keywords	Bayesian theory ; basins ; neural networks ; runoff ; soil water ; uncertainty ; weather ; South Korea
Language	English
Dates of publication	2022-0518
Publishing place	Elsevier B.V.
Document type	Article
Note	Pre-press version
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2022.156162
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Development of mechanically reinforced bioadhesive electrospun nanofibers using cellulose acetate–levan complexes

Song, Young Hoon / Ji, Eunhyun / Joo, Kye Il / Seo, Jeong Hyun

Cellulose. 2023 Feb., v. 30, no. 3 p.1685-1696

2023

Abstract: Although electrospun nanofibers have great potential for various tissue engineering applications, owing to their large surface area and extracellular matrix-mimicking properties, their lack of appropriate mechanical strength and biological cues for cell ... ...

Abstract	Although electrospun nanofibers have great potential for various tissue engineering applications, owing to their large surface area and extracellular matrix-mimicking properties, their lack of appropriate mechanical strength and biological cues for cell adhesion and proliferation limits their widespread use in tissue engineering. Nanofiber composite possessing two or more desired properties and functions has garnered considerable attention regarding its utility in diverse biomedical applications. In the present study, we aimed to develop a mechanically reinforced electrospun composite nanofiber by blending cellulose acetate and levan. Crosslinking the composite nanofiber with citric acid could significantly enhance its mechanical properties and thermal stability. In fact, the composite nanofibers had an adhesive strength of up to 1.27 MPa, which is similar to that of commercial tissue adhesive fibrin glue. The bioadhesive trait of composite nanofiber and the unique properties of levan not only enabled remarkable biocompatibility but also improved the levels of cell attachment and proliferation. Overall, the developed electrospun composite nanofibers can be used as promising cell scaffolds in tissue regenerative cell therapy.
Keywords	bioadhesives ; biocompatibility ; cell adhesion ; cellulose ; cellulose acetate ; citric acid ; crosslinking ; fibrin ; levan ; nanofibers ; strength (mechanics) ; surface area ; therapeutics ; thermal stability
Language	English
Dates of publication	2023-02
Size	p. 1685-1696.
Publishing place	Springer Netherlands
Document type	Article ; Online
ZDB-ID	1496831-9
ISSN	1572-882X ; 0969-0239
ISSN (online)	1572-882X
ISSN	0969-0239
DOI	10.1007/s10570-022-04971-2
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration.

Song, Young Hoon / Chung, Eun-Sung / Shahid, Shamsuddin / Kim, Yeonjoo / Kim, Dongkyun

Scientific data

2023 Volume 10, Issue 1, Page(s) 568

Abstract: Reliable projection of evapotranspiration (ET) is important for planning sustainable water management for the agriculture field in the context of climate change. A global dataset of monthly climate variables was generated to estimate potential ET (PET) ... ...

Abstract	Reliable projection of evapotranspiration (ET) is important for planning sustainable water management for the agriculture field in the context of climate change. A global dataset of monthly climate variables was generated to estimate potential ET (PET) using 14 General Circulation Models (GCMs) for four main shared socioeconomic pathways (SSPs). The generated dataset has a spatial resolution of 0.5° × 0.5° and a period ranging from 1950 to 2100 and can estimate historical and future PET using the Penman-Monteith method. Furthermore, this dataset can be applied to various PET estimation methods based on climate variables. This paper presents that the dataset generated to estimate future PET could reflect the greenhouse gas concentration level of the SSP scenarios in latitude bands. Therefore, this dataset can provide vital information for users to select appropriate GCMs for estimating reasonable PETs and help determine bias correction methods to reduce between observation and model based on the scale of climate variables in each GCM.
Language	English
Publishing date	2023-08-26
Publishing country	England
Document type	Dataset ; Journal Article
ZDB-ID	2775191-0
ISSN	2052-4463 ; 2052-4463
ISSN (online)	2052-4463
ISSN	2052-4463
DOI	10.1038/s41597-023-02475-7
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Plasma-assisted hydrogen generation: A mechanistic review

Lee, Dae Hoon / Kang, Hongjae / Kim, Youna / Song, Hohyun / Lee, Heesoo / Choi, Jeongan / Kim, Kwan-Tae / Song, Young-Hoon

Fuel Processing Technology. 2023 Aug., v. 247 p.107761-

2023

Abstract: A review of hydrogen production technologies using plasma was presented especially with a view point of reaction mechanism. In the hydrogen production process to which plasma is applied, the method of plasma contributing to the reaction may vary ... ...

Abstract	A review of hydrogen production technologies using plasma was presented especially with a view point of reaction mechanism. In the hydrogen production process to which plasma is applied, the method of plasma contributing to the reaction may vary depending on the type and characteristics of the feed. Heavy hydrocarbon, natural gas, biomass, ammonia, and water are presented as feeds that can be sources of hydrogen. Then, brief survey and discussions are presented for the studies producing hydrogen in each feed. The discussion presented includes how electronic/ionic and vibrational excitation contribute to the activation of the reaction, and a discussion on what should be considered in the design of plasma process for hydrogen generation in view point of energy usage and possible reaction mechanism.
Keywords	ammonia ; biomass ; energy ; hydrogen ; hydrogen production ; natural gas ; reaction mechanisms ; surveys ; technology ; Plasma ; Review ; Feed ; Reaction mechanism
Language	English
Dates of publication	2023-08
Publishing place	Elsevier B.V.
Document type	Article ; Online
Note	Use and reproduction
ZDB-ID	1483666-x
ISSN	0378-3820
ISSN	0378-3820
DOI	10.1016/j.fuproc.2023.107761
Database	NAL-Catalogue (AGRICOLA)

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