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Book ; Online: Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS

Lee, Chang-Wook / Han, Hyangsun / Lee, Hoonyol / Park, Yu-Chul

2021

Keywords	Environmental science, engineering & technology ; groundwater potential ; specific capacity ; machine learning ; boosted tree ; ensemble models ; prototype selection ; river pollution ; supervised classification ; WSN ; probabilistic method ; Monte Carlo simulation ; physical slope model ; Mt. Umyeon landslides ; Seoul ; synthetic aperture radar ; land subsidence ; GIS ; time-series ; Jakarta ; land subsidence susceptibility mapping ; time-series InSAR ; StaMPS processing ; seismic vulnerability map ; DPM method ; Sentinel-1 ; seismic literacy ; neural networks ; urban vegetation ; urban open spaces ; Monterrey Metropolitan Area ; sustainable development ; deep learning ; transfer learning ; artificial intelligence ; remote sensing ; earth observation ; DInSAR ; change detection ; space data science
Size	1 electronic resource (165 pages)
Publisher	MDPI - Multidisciplinary Digital Publishing Institute
Publishing place	Basel, Switzerland
Document type	Book ; Online
Note	English ; Open Access
HBZ-ID	HT021291465
ISBN	9783036516035 ; 3036516034
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: Structural basis for mitoguardin-2 mediated lipid transport at ER-mitochondrial membrane contact sites.

Kim, Hyunwoo / Lee, Seowhang / Jun, Youngsoo / Lee, Changwook

Nature communications

2022 Volume 13, Issue 1, Page(s) 3702

Abstract: The endoplasmic reticulum (ER)-mitochondria contact site (ERMCS) is crucial for exchanging biological molecules such as phospholipids and ... ...

Abstract	The endoplasmic reticulum (ER)-mitochondria contact site (ERMCS) is crucial for exchanging biological molecules such as phospholipids and Ca
MeSH term(s)	Endoplasmic Reticulum/metabolism ; Membrane Proteins/metabolism ; Mitochondria/metabolism ; Mitochondrial Membranes/metabolism ; Phospholipids/metabolism
Chemical Substances	Membrane Proteins ; Phospholipids
Language	English
Publishing date	2022-06-28
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2553671-0
ISSN	2041-1723 ; 2041-1723
ISSN (online)	2041-1723
ISSN	2041-1723
DOI	10.1038/s41467-022-31462-6
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Glutamine increases stability of TPH1 mRNA via p38 mitogen-activated kinase in mouse mastocytoma cells

Park, Heeyoung / Lee, Chang-Wook / Kang, Jieun / Sadra, Ali / Huh, Sung-Oh

Mol Biol Rep. 2023 Jan., v. 50, no. 1 p.267-277

2023

Abstract: Expression changes for tryptophan hydroxylase 1 (TPH1), the rate-limiting enzyme in serotonin synthesis, by environmental glutamine (GLN) were examined in mouse mastocytoma-derived P815-HTR cells. GLN-treated cells exhibited a robust increase in TPH1 ... ...

Abstract	Expression changes for tryptophan hydroxylase 1 (TPH1), the rate-limiting enzyme in serotonin synthesis, by environmental glutamine (GLN) were examined in mouse mastocytoma-derived P815-HTR cells. GLN-treated cells exhibited a robust increase in TPH1 mRNA after a 6 h exposure to GLN. 6-Diazo-5-oxo-L-norleucine (DON), a glutamine-utilizing glutaminase inhibitor, significantly inhibited the GLN-induction of TPH1 mRNA. Nuclear run-on assays and mRNA decay experiments demonstrated that the primary mechanism leading to increased TPH1 mRNA levels was not due to transcriptional changes, but rather due to increased TPH1 RNA stability induced by GLN. Treatment with GLN also led to activation of p38 MAP kinase, but not p42/44 MAPK. In addition, SB203580, a p38 MAP kinase specific inhibitor, completely abolished the GLN-mediated increase of TPH1 mRNA levels, suggesting the pathway stabilizing TPH1 mRNA might be mediated by the activated p38 MAP kinase pathway. Additionally, SB203580 significantly reduced the stability of TPH1 mRNA, and this reduction of the stability was not affected by GLN in the culture medium, implying a sequential signaling from GLN being mediated by p38 MAP kinase, resulting in alteration of TPH1 mRNA stability. TPH1 mRNA stability loss was also dependent on de novo protein synthesis as shown by treatment of cells with a transcriptional/translational blocker. We provide evidence that TPH1 mRNA levels are increased in response to increased exogenous GLN in mouse mastocytoma cells via a stabilization of TPH1 mRNA due to the activity of the p38 MAP kinase.
Keywords	RNA ; culture media ; glutaminase ; glutamine ; mice ; mitogen-activated protein kinase ; protein synthesis ; serotonin ; transcription (genetics) ; tryptophan
Language	English
Dates of publication	2023-01
Size	p. 267-277.
Publishing place	Springer Netherlands
Document type	Article ; Online
ZDB-ID	186544-4
ISSN	1573-4978 ; 0301-4851
ISSN (online)	1573-4978
ISSN	0301-4851
DOI	10.1007/s11033-022-07693-7
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Multitemporal analysis of land subsidence induced by open-pit mining activity using improved combined scatterer interferometry with deep learning algorithm optimization.

Fadhillah, Muhammad Fulki / Hakim, Wahyu Luqmanul / Lee, Seul-Ki / Lee, Kwang-Jae / Lee, Seung-Jae / Chae, Sung-Ho / Lee, Hoonyol / Lee, Chang-Wook

Scientific reports

2024 Volume 14, Issue 1, Page(s) 6311

Abstract: Mine operational safety is an important aspect of maintaining the operational continuity of a mining area. In this study, we used the InSAR time series to analyze land surface changes using the ICOPS (improved combined scatterers with optimized point ... ...

Abstract	Mine operational safety is an important aspect of maintaining the operational continuity of a mining area. In this study, we used the InSAR time series to analyze land surface changes using the ICOPS (improved combined scatterers with optimized point scatters) method. This ICOPS method combines persistent scatterers (PS) with distributed scatterers (DS) to increase surface deformation analysis's spatial coverage and quality. One of the improvements of this study is the use of machine learning in postprocessing, based on convolutional neural networks, to increase the reliability of results. This study used data from the Sentinel-1 SAR C-band satellite during the 2016-2022 observation period at the Musan mine, North Korea. In the InSAR surface deformation time analysis, the maximum average rate of land subsidence was approximately > 15.00 cm per year, with total surface deformation of 170 cm and 70 cm for the eastern dumping area and the western dumping area, respectively. Analyzing the mechanism of land surface changes also involved evaluating the geological conditions in the Musan mining area. Our research findings show that combining machine learning and statistical methods has great potential to enhance the understanding of mine surface deformation.
Language	English
Publishing date	2024-03-15
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/s41598-024-56347-0
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Extraction of Roads Using the Archimedes Tuning Process with the Quantum Dilated Convolutional Neural Network.

Khan, Mohd Jawed / Singh, Pankaj Pratap / Pradhan, Biswajeet / Alamri, Abdullah / Lee, Chang-Wook

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 21

Abstract: Road network extraction is a significant challenge in remote sensing (RS). Automated techniques for interpreting RS imagery offer a cost-effective solution for obtaining road network data quickly, surpassing traditional visual interpretation methods. ... ...

Abstract	Road network extraction is a significant challenge in remote sensing (RS). Automated techniques for interpreting RS imagery offer a cost-effective solution for obtaining road network data quickly, surpassing traditional visual interpretation methods. However, the diverse characteristics of road networks, such as varying lengths, widths, materials, and geometries across different regions, pose a formidable obstacle for road extraction from RS imagery. The issue of road extraction can be defined as a task that involves capturing contextual and complex elements while also preserving boundary information and producing high-resolution road segmentation maps for RS data. The objective of the proposed Archimedes tuning process quantum dilated convolutional neural network for road Extraction (ATP-QDCNNRE) technology is to tackle the aforementioned issues by enhancing the efficacy of image segmentation outcomes that exploit remote sensing imagery, coupled with Archimedes optimization algorithm methods (AOA). The findings of this study demonstrate the enhanced road-extraction capabilities achieved by the ATP-QDCNNRE method when used with remote sensing imagery. The ATP-QDCNNRE method employs DL and a hyperparameter tuning process to generate high-resolution road segmentation maps. The basis of this approach lies in the QDCNN model, which incorporates quantum computing (QC) concepts and dilated convolutions to enhance the network's ability to capture both local and global contextual information. Dilated convolutions also enhance the receptive field while maintaining spatial resolution, allowing fine road features to be extracted. ATP-based hyperparameter modifications improve QDCNNRE road extraction. To evaluate the effectiveness of the ATP-QDCNNRE system, benchmark databases are used to assess its simulation results. The experimental results show that ATP-QDCNNRE performed with an intersection over union (IoU) of 75.28%, mean intersection over union (MIoU) of 95.19%, F1 of 90.85%, precision of 87.54%, and recall of 94.41% in the Massachusetts road dataset. These findings demonstrate the superior efficiency of this technique compared to more recent methods.
Language	English
Publishing date	2023-10-28
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23218783
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: GEN-Click: Genetically Encodable Click Reactions for Spatially Restricted Metabolite Labeling.

Mishra, Pratyush Kumar / Sharma, Nirmali / Kim, Hyunwoo / Lee, Changwook / Rhee, Hyun-Woo

ACS central science

2023 Volume 9, Issue 8, Page(s) 1650–1657

Abstract: Chemical reactions for ... ...

Abstract	Chemical reactions for the
Language	English
Publishing date	2023-07-25
Publishing country	United States
Document type	Journal Article
ISSN	2374-7943
ISSN	2374-7943
DOI	10.1021/acscentsci.3c00511
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Creation of Wildfire Susceptibility Maps in Plumas National Forest Using InSAR Coherence, Deep Learning, and Metaheuristic Optimization Approaches

Nur, Arip Syaripudin / Kim, Yong Je / Lee, Chang-Wook

Remote Sensing. 2022 Sept. 05, v. 14, no. 17

2022

Abstract: Plumas National Forest, located in the Butte and Plumas counties, has experienced devastating wildfires in recent years, resulting in substantial economic losses and threatening the safety of people. Mapping damaged areas and assessing wildfire ... ...

Abstract	Plumas National Forest, located in the Butte and Plumas counties, has experienced devastating wildfires in recent years, resulting in substantial economic losses and threatening the safety of people. Mapping damaged areas and assessing wildfire susceptibility are necessary to prevent, mitigate, and manage wildfires. In this study, a wildfire susceptibility map was generated using a CNN and metaheuristic optimization algorithms (GWO and ICA) based on images of areas damaged by wildfires. The locations of damaged areas were identified using the damage proxy map (DPM) technique from Sentinel-1 synthetic aperture radar (SAR) data collected from 2016 to 2020. The DPMs’ depicting areas damaged by wildfires were similar to fire perimeters obtained from the California Department of Forestry and Fire Protection (CAL FIRE). Data regarding damaged areas were divided into a training set (50%) for modeling and a testing set (50%) for assessing the accuracy of the models. Sixteen conditioning factors, categorized as topographical, meteorological, environmental, and anthropological factors, were selected to construct the models. The wildfire susceptibility models were evaluated using the area under the receiver operating characteristic (ROC) curve (AUC) and root mean square error (RMSE) analysis. The evaluation results revealed that the hybrid-based CNN-GWO model (AUC = 0.974, RMSE = 0.334) exhibited better performance than the CNN (AUC = 0.934, RMSE = 0.780) and CNN-ICA (AUC = 0.950, RMSE = 0.350) models. Therefore, we conclude that optimizing a CNN with metaheuristics considerably increased the accuracy and reliability of wildfire susceptibility mapping in the study area.
Keywords	forestry ; models ; synthetic aperture radar ; wildfires ; California ; Plumas National Forest
Language	English
Dates of publication	2022-0905
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs14174416
Database	NAL-Catalogue (AGRICOLA)

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Article: Mapping of Post-Wildfire Burned Area Using a Hybrid Algorithm and Satellite Data: The Case of the Camp Fire Wildfire in California, USA

Syifa, Mutiara / Panahi, Mahdi / Lee, Chang-Wook

Remote Sensing. 2020 Feb. 13, v. 12, no. 4

2020

Abstract: On November 8, 2018, a devastating wildfire, known as the Camp Fire wildfire, was reported in Butte County, California, USA. Approximately 88 fatalities ensued, and 18,804 structures were damaged by the wildfire. As a response to this destructive ... ...

Abstract	On November 8, 2018, a devastating wildfire, known as the Camp Fire wildfire, was reported in Butte County, California, USA. Approximately 88 fatalities ensued, and 18,804 structures were damaged by the wildfire. As a response to this destructive wildfire, this study generated a pre- and post-wildfire maps to provide basic data for evacuation and mitigation planning. This study used Landsat-8 and Sentinel-2 imagery to map the pre- and post-wildfire conditions. A support vector machine (SVM) optimized by the imperialist competitive algorithm (ICA) hybrid model was compared with the non-optimized SVM algorithm for classification of the pre- and post-wildfire map. The SVM–ICA produced a better accuracy (overall accuracies of 83.8% and 83.6% for pre- and post-wildfire using Landsat-8 respectively; 90.8% and 91.8% for pre- and post-wildfire using Sentinel-2 respectively), compared to SVM without optimization (overall accuracies of 80.0% and 78.9% for pre- and post-wildfire using Landsat-8 respectively; 83.3% and 84.8% for pre- and post-wildfire using Sentinel-2 respectively. In total, eight pre- and post-wildfire burned area maps were generated; these can be used to assess the area affected by the Camp Fire wildfire as well as for wildfire mitigation planning in the future.
Keywords	Landsat ; death ; models ; planning ; remote sensing ; support vector machines ; wildfires ; California
Language	English
Dates of publication	2020-0213
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs12040623
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Glutamine increases stability of TPH1 mRNA via p38 mitogen-activated kinase in mouse mastocytoma cells.

Park, Heeyoung / Lee, Chang-Wook / Kang, Jieun / Sadra, Ali / Huh, Sung-Oh

Molecular biology reports

2022 Volume 50, Issue 1, Page(s) 267–277

Abstract	Expression changes for tryptophan hydroxylase 1 (TPH1), the rate-limiting enzyme in serotonin synthesis, by environmental glutamine (GLN) were examined in mouse mastocytoma-derived P815-HTR cells. GLN-treated cells exhibited a robust increase in TPH1 mRNA after a 6 h exposure to GLN. 6-Diazo-5-oxo-L-norleucine (DON), a glutamine-utilizing glutaminase inhibitor, significantly inhibited the GLN-induction of TPH1 mRNA. Nuclear run-on assays and mRNA decay experiments demonstrated that the primary mechanism leading to increased TPH1 mRNA levels was not due to transcriptional changes, but rather due to increased TPH1 RNA stability induced by GLN. Treatment with GLN also led to activation of p38 MAP kinase, but not p42/44 MAPK. In addition, SB203580, a p38 MAP kinase specific inhibitor, completely abolished the GLN-mediated increase of TPH1 mRNA levels, suggesting the pathway stabilizing TPH1 mRNA might be mediated by the activated p38 MAP kinase pathway. Additionally, SB203580 significantly reduced the stability of TPH1 mRNA, and this reduction of the stability was not affected by GLN in the culture medium, implying a sequential signaling from GLN being mediated by p38 MAP kinase, resulting in alteration of TPH1 mRNA stability. TPH1 mRNA stability loss was also dependent on de novo protein synthesis as shown by treatment of cells with a transcriptional/translational blocker. We provide evidence that TPH1 mRNA levels are increased in response to increased exogenous GLN in mouse mastocytoma cells via a stabilization of TPH1 mRNA due to the activity of the p38 MAP kinase.
MeSH term(s)	Mice ; Animals ; Mitogens ; Glutamine ; RNA, Messenger/genetics ; p38 Mitogen-Activated Protein Kinases/genetics ; p38 Mitogen-Activated Protein Kinases/metabolism ; Mastocytoma ; Enzyme Inhibitors/pharmacology ; Tryptophan Hydroxylase/genetics
Chemical Substances	Mitogens ; Glutamine (0RH81L854J) ; RNA, Messenger ; p38 Mitogen-Activated Protein Kinases (EC 2.7.11.24) ; Enzyme Inhibitors ; Tph1 protein, mouse (EC 1.14.16.4) ; Tryptophan Hydroxylase (EC 1.14.16.4)
Language	English
Publishing date	2022-11-04
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	186544-4
ISSN	1573-4978 ; 0301-4851
ISSN (online)	1573-4978
ISSN	0301-4851
DOI	10.1007/s11033-022-07693-7
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Yeast lunapark regulates the formation of

Jang, Eunhong / Lee, Miriam / Yoon, So Young / Lee, Sang Soo / Park, Jongseo / Jin, Mi Sun / Eom, Soo Hyun / Lee, Changwook / Jun, Youngsoo

iScience

2023 Volume 26, Issue 12, Page(s) 108386

Abstract: The endoplasmic reticulum (ER) consists of the nuclear envelope and a connected peripheral network of tubules and interspersed sheets. The structure of ER tubules is generated and maintained by various proteins, including reticulons, DP1/Yop1p, atlastins, ...

Abstract	The endoplasmic reticulum (ER) consists of the nuclear envelope and a connected peripheral network of tubules and interspersed sheets. The structure of ER tubules is generated and maintained by various proteins, including reticulons, DP1/Yop1p, atlastins, and lunapark. Reticulons and DP1/Yop1p stabilize the high membrane curvature of ER tubules, and atlastins mediate homotypic membrane fusion between ER tubules; however, the exact role of lunapark remains poorly characterized. Here, using isolated yeast ER microsomes and reconstituted proteoliposomes, we directly examined the function of the yeast lunapark Lnp1p for yeast atlastin Sey1p-mediated ER fusion and found that Lnp1p inhibits Sey1p-driven membrane fusion. Furthermore, by using a newly developed assay for monitoring
Language	English
Publishing date	2023-11-02
Publishing country	United States
Document type	Journal Article
ISSN	2589-0042
ISSN (online)	2589-0042
DOI	10.1016/j.isci.2023.108386
Database	MEDical Literature Analysis and Retrieval System OnLINE

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