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Article ; Online: Successful Rechallenge of Trastuzumab Deruxtecan After Drug-Induced Interstitial Lung Disease in a NSCLC With

Nam, Sangho / Lim, Sun Min / Cho, Byoung Chul / Lee, Jii Bum

JTO clinical and research reports

2023 Volume 5, Issue 2, Page(s) 100628

Abstract: Trastuzumab deruxtecan, an antibody-drug conjugate targetingHER2-expressing tumor cells, was found to have promising results in treatment-refractory, metastatic NSCLC ... ...

Abstract	Trastuzumab deruxtecan, an antibody-drug conjugate targetingHER2-expressing tumor cells, was found to have promising results in treatment-refractory, metastatic NSCLC harboring
Language	English
Publishing date	2023-12-26
Publishing country	United States
Document type	Case Reports
ISSN	2666-3643
ISSN (online)	2666-3643
DOI	10.1016/j.jtocrr.2023.100628
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book ; Conference proceedings: Selected papers from the 3rd international conference of Asian Union Magnetic Societies (IcAUMS - 2013), held in Haikou, China, 28 October 2014 - 02 November 2014

Lim, Sangho

[... 17 papers]

(Physica $B, Condensed matter ; 476.2015)

2015

Title variant	Third
Event/congress	IcAUMS (3, 2014.10.28-11.02, Haikou) ; International conference of Asian Union Magnetic Societies (3, 2014.10.28-11.02, Haikou)
Author's details	guest ed.: Sangho Lim
Series title	Physica $B, Condensed matter ; 476.2015
Language	English
Size	S. 109 - 182
Publisher	Elsevier
Publishing place	Amsterdam u.a.
Document type	Book ; Conference proceedings
Database	Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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Article ; Online: Name Disambiguation Scheme Based on Heterogeneous Academic Sites

Dojin Choi / Junhyeok Jang / Sangho Song / Hyeonbyeong Lee / Jongtae Lim / Kyoungsoo Bok / Jaesoo Yoo

Applied Sciences, Vol 14, Iss 1, p

2023 Volume 192

Abstract: Academic researchers publish their work in various formats, such as papers, patents, and research reports, on different academic sites. When searching for a particular researcher’s work, it can be challenging to pinpoint the right individual, especially ... ...

Abstract	Academic researchers publish their work in various formats, such as papers, patents, and research reports, on different academic sites. When searching for a particular researcher’s work, it can be challenging to pinpoint the right individual, especially when there are multiple researchers with the same name. In order to handle this issue, we propose a name disambiguation scheme for researchers with the same name based on heterogeneous academic sites. The proposed scheme collects and integrates research results from these varied academic sites, focusing on attributes crucial for disambiguation. It then employs clustering techniques to identify individuals who share the same name. Additionally, we implement the proposed rule-based algorithm name disambiguation method and the existing deep learning-based identification method. This approach allows for the selection of the most accurate disambiguation scheme, taking into account the metadata available in the academic sites, using a multi-classifier approach. We consider various researchers’ achievements and metadata of articles registered in various academic search sites. The proposed scheme showed an exceptionally high F1-measure value of 0.99. In this paper, we propose a multi-classifier that executes the most appropriate disambiguation scheme depending on the inputted metadata. The proposed multi-classifier shows the high F1-measure value of 0.67.
Keywords	name disambiguation ; author name disambiguation ; deep learning ; multi-classifier ; HAC ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Learning Symmetric Rules with SATNet

Lim, Sangho / Oh, Eun-Gyeol / Yang, Hongseok

2022

Abstract: SATNet is a differentiable constraint solver with a custom backpropagation algorithm, which can be used as a layer in a deep-learning system. It is a promising proposal for bridging deep learning and logical reasoning. In fact, SATNet has been ... ...

Abstract	SATNet is a differentiable constraint solver with a custom backpropagation algorithm, which can be used as a layer in a deep-learning system. It is a promising proposal for bridging deep learning and logical reasoning. In fact, SATNet has been successfully applied to learn, among others, the rules of a complex logical puzzle, such as Sudoku, just from input and output pairs where inputs are given as images. In this paper, we show how to improve the learning of SATNet by exploiting symmetries in the target rules of a given but unknown logical puzzle or more generally a logical formula. We present SymSATNet, a variant of SATNet that translates the given symmetries of the target rules to a condition on the parameters of SATNet and requires that the parameters should have a particular parametric form that guarantees the condition. The requirement dramatically reduces the number of parameters to learn for the rules with enough symmetries, and makes the parameter learning of SymSATNet much easier than that of SATNet. We also describe a technique for automatically discovering symmetries of the target rules from examples. Our experiments with Sudoku and Rubik's cube show the substantial improvement of SymSATNet over the baseline SATNet. Comment: 27 pages, 10 figures, the first two authors contributed equally to this work, accepted at NeurIPS'22
Keywords	Computer Science - Artificial Intelligence ; Computer Science - Machine Learning ; Computer Science - Logic in Computer Science ; Mathematics - Group Theory
Subject code	006
Publishing date	2022-06-28
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Derivation of functional thymic epithelial organoid lines from adult murine thymus.

Lim, Sangho / J F van Son, Gijs / Wisma Eka Yanti, Ni Luh / Andersson-Rolf, Amanda / Willemsen, Sam / Korving, Jeroen / Lee, Hong-Gyun / Begthel, Harry / Clevers, Hans

Cell reports

2024 Volume 43, Issue 4, Page(s) 114019

Abstract: Thymic epithelial cells (TECs) orchestrate T cell development by imposing positive and negative selection on thymocytes. Current studies on TEC biology are hampered by the absence of long-term ex vivo culture platforms, while the cells driving TEC self- ... ...

Abstract	Thymic epithelial cells (TECs) orchestrate T cell development by imposing positive and negative selection on thymocytes. Current studies on TEC biology are hampered by the absence of long-term ex vivo culture platforms, while the cells driving TEC self-renewal remain to be identified. Here, we generate long-term (>2 years) expandable 3D TEC organoids from the adult mouse thymus. For further analysis, we generated single and double FoxN1-P2A-Clover, Aire-P2A-tdTomato, and Cldn4-P2A-tdTomato reporter lines by CRISPR knockin. Single-cell analyses of expanding clonal organoids reveal cells with bipotent stem/progenitor phenotypes. These clonal organoids can be induced to express Foxn1 and to generate functional cortical- and Aire-expressing medullary-like TECs upon RANK ligand + retinoic acid treatment. TEC organoids support T cell development from immature thymocytes in vitro as well as in vivo upon transplantation into athymic nude mice. This organoid-based platform allows in vitro study of TEC biology and offers a potential strategy for ex vivo T cell development.
MeSH term(s)	Animals ; Organoids/cytology ; Organoids/metabolism ; Thymus Gland/cytology ; Epithelial Cells/cytology ; Epithelial Cells/metabolism ; Mice ; Cell Differentiation ; Mice, Nude ; T-Lymphocytes/cytology ; T-Lymphocytes/metabolism ; Mice, Inbred C57BL ; Transcription Factors/metabolism ; Transcription Factors/genetics ; Forkhead Transcription Factors
Chemical Substances	Whn protein ; Transcription Factors ; Forkhead Transcription Factors
Language	English
Publishing date	2024-03-27
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2649101-1
ISSN	2211-1247 ; 2211-1247
ISSN (online)	2211-1247
ISSN	2211-1247
DOI	10.1016/j.celrep.2024.114019
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Poly(l-lactide)/polycaprolactone based multifunctional coating to deliver paclitaxel/VEGF and control the degradation rate of magnesium alloy stent.

Farwa, Ume / Lee, Hyun-Yong / Lim, Hansung / Park, Ihho / Park, Sangho / Moon, Byoung-Gi / Lee, Byong-Taek

International journal of biological macromolecules

2023 Volume 250, Page(s) 126218

Abstract: Despite significant advancements made in cardiovascular stents, restenosis, thrombosis, biocompatibility, and clinical complications remain a matter of concern. Herein, we report a biodegradable Mg alloy stent with a dual effect of the drug (Paclitaxel) ... ...

Abstract	Despite significant advancements made in cardiovascular stents, restenosis, thrombosis, biocompatibility, and clinical complications remain a matter of concern. Herein, we report a biodegradable Mg alloy stent with a dual effect of the drug (Paclitaxel) and growth factor (VEGF) release. To mitigate the fast degradation of Mg alloy, inorganic and organic coatings were formed on the alloy surface. The optimized hierarchal sequence of the coating was the first layer consisting of magnesium fluoride, followed by poly(l-lactide) and hydroxyapatite coating, and finally sealed by a polycaprolactone layer (MgC). PLLA and HAp were used to increase the adhesion strength and biocompatibility of the coating. Paclitaxel and VEGF were loaded in the final PCL layer (Mg-C/PTX-VEGF). As compared to bare Mg alloy (28 % weight loss), our MgC system showed (3.1 % weight loss) successful decrease in the degradation rate. Further, the in vitro biocompatibility illustrated the highly biocompatible nature of our drug and growth factor-loaded system. The in vivo results displayed that the drug loading decreased the inflammation and neointimal hyperplasia as indicated by the α-SMA and CD-68 antibody staining. The growth factor helped in the endothelialization which was established by the FLKI and ICAM antibody staining of the tissue.
Language	English
Publishing date	2023-08-11
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	282732-3
ISSN	1879-0003 ; 0141-8130
ISSN (online)	1879-0003
ISSN	0141-8130
DOI	10.1016/j.ijbiomac.2023.126218
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Book ; Online: Integrated Path Tracking with DYC and MPC using LSTM Based Tire Force Estimator for Four-wheel Independent Steering and Driving Vehicle

Lim, Sungjin / Sadiq, Bilal / Jin, Yongsik / Lee, Sangho / Choi, Gyeungho / Nam, Kanghyun / Lim, Yongseob

2023

Abstract: Active collision avoidance system plays a crucial role in ensuring the lateral safety of autonomous vehicles, and it is primarily related to path planning and tracking control algorithms. In particular, the direct yaw-moment control (DYC) system can ... ...

Abstract	Active collision avoidance system plays a crucial role in ensuring the lateral safety of autonomous vehicles, and it is primarily related to path planning and tracking control algorithms. In particular, the direct yaw-moment control (DYC) system can significantly improve the lateral stability of a vehicle in environments with sudden changes in road conditions. In order to apply the DYC algorithm, it is very important to accurately consider the properties of tire forces with complex nonlinearity for control to ensure the lateral stability of the vehicle. In this study, longitudinal and lateral tire forces for safety path tracking were simultaneously estimated using a long short-term memory (LSTM) neural network based estimator. Furthermore, to improve path tracking performance in case of sudden changes in road conditions, a system has been developed by combining 4-wheel independent steering (4WIS) model predictive control (MPC) and 4-wheel independent drive (4WID) direct yaw-moment control (DYC). The estimation performance of the extended Kalman filter (EKF), which are commonly used for tire force estimation, was compared. In addition, the estimated longitudinal and lateral tire forces of each wheel were applied to the proposed system, and system verification was performed through simulation using a vehicle dynamics simulator. Consequently, the proposed method, the integrated path tracking algorithm with DYC and MPC using the LSTM based estimator, was validated to significantly improve the vehicle stability in suddenly changing road conditions.
Keywords	Computer Science - Robotics ; Electrical Engineering and Systems Science - Systems and Control
Subject code	629
Publishing date	2023-12-12
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Discovery of highly immunogenic spleen-resident FCGR3

Kang, Myeong-Ho / Hong, JungHyub / Lee, Jinjoo / Cha, Min-Suk / Lee, Sangho / Kim, Hye-Young / Ha, Sang-Jun / Lim, Yong Taik / Bae, Yong-Soo

Cellular & molecular immunology

2023 Volume 20, Issue 7, Page(s) 820–834

Abstract: Recombinant interleukin-33 (IL-33) inhibits tumor growth, but the detailed immunological mechanism is still unknown. IL-33-mediated tumor suppression did not occur in ... ...

Abstract	Recombinant interleukin-33 (IL-33) inhibits tumor growth, but the detailed immunological mechanism is still unknown. IL-33-mediated tumor suppression did not occur in Batf3
MeSH term(s)	Humans ; Animals ; Mice ; Interleukin-33/metabolism ; Interleukin-1 Receptor-Like 1 Protein/metabolism ; Spleen ; Basophils ; Neoplasms ; Dendritic Cells ; Mice, Inbred C57BL
Chemical Substances	Interleukin-33 ; Interleukin-1 Receptor-Like 1 Protein
Language	English
Publishing date	2023-05-29
Publishing country	China
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2435097-7
ISSN	2042-0226 ; 1672-7681
ISSN (online)	2042-0226
ISSN	1672-7681
DOI	10.1038/s41423-023-01035-8
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Epidermal growth factor receptor (EGFR) is a target of the tumor-suppressor E3 ligase FBXW7.

Boretto, Matteo / Geurts, Maarten H / Gandhi, Shashank / Ma, Ziliang / Staliarova, Nadzeya / Celotti, Martina / Lim, Sangho / He, Gui-Wei / Millen, Rosemary / Driehuis, Else / Begthel, Harry / Smabers, Lidwien / Roodhart, Jeanine / van Es, Johan / Wu, Wei / Clevers, Hans

Proceedings of the National Academy of Sciences of the United States of America

2024 Volume 121, Issue 12, Page(s) e2309902121

Abstract: FBXW7 is an E3 ubiquitin ligase that targets proteins for proteasome-mediated degradation and is mutated in various cancer types. Here, we use CRISPR base editors to introduce ... ...

Abstract	FBXW7 is an E3 ubiquitin ligase that targets proteins for proteasome-mediated degradation and is mutated in various cancer types. Here, we use CRISPR base editors to introduce different
MeSH term(s)	Humans ; F-Box-WD Repeat-Containing Protein 7/genetics ; F-Box-WD Repeat-Containing Protein 7/metabolism ; Ubiquitin-Protein Ligases/genetics ; Ubiquitin-Protein Ligases/metabolism ; Epidermal Growth Factor/genetics ; Epidermal Growth Factor/pharmacology ; Epidermal Growth Factor/metabolism ; Proteomics ; ErbB Receptors/genetics ; ErbB Receptors/metabolism ; Neoplasms/drug therapy ; Neoplasms/genetics ; Neoplasms/metabolism ; F-Box Proteins/genetics
Chemical Substances	F-Box-WD Repeat-Containing Protein 7 ; Ubiquitin-Protein Ligases (EC 2.3.2.27) ; Epidermal Growth Factor (62229-50-9) ; ErbB Receptors (EC 2.7.10.1) ; F-Box Proteins ; FBXW7 protein, human ; EGFR protein, human (EC 2.7.10.1)
Language	English
Publishing date	2024-03-14
Publishing country	United States
Document type	Journal Article
ZDB-ID	209104-5
ISSN	1091-6490 ; 0027-8424
ISSN (online)	1091-6490
ISSN	0027-8424
DOI	10.1073/pnas.2309902121
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Article ; Online: Multimodal Data Collection System for Driver Emotion Recognition Based on Self-Reporting in Real-World Driving.

Oh, Geesung / Jeong, Euiseok / Kim, Rak Chul / Yang, Ji Hyun / Hwang, Sungwook / Lee, Sangho / Lim, Sejoon

Sensors (Basel, Switzerland)

2022 Volume 22, Issue 12

Abstract: As vehicles provide various services to drivers, research on driver emotion recognition has been expanding. However, current driver emotion datasets are limited by inconsistencies in collected data and inferred emotional state annotations by others. To ... ...

Abstract	As vehicles provide various services to drivers, research on driver emotion recognition has been expanding. However, current driver emotion datasets are limited by inconsistencies in collected data and inferred emotional state annotations by others. To overcome this limitation, we propose a data collection system that collects multimodal datasets during real-world driving. The proposed system includes a self-reportable HMI application into which a driver directly inputs their current emotion state. Data collection was completed without any accidents for over 122 h of real-world driving using the system, which also considers the minimization of behavioral and cognitive disturbances. To demonstrate the validity of our collected dataset, we also provide case studies for statistical analysis, driver face detection, and personalized driver emotion recognition. The proposed data collection system enables the construction of reliable large-scale datasets on real-world driving and facilitates research on driver emotion recognition. The proposed system is avaliable on GitHub.
MeSH term(s)	Accidents, Traffic/prevention & control ; Automobile Driving/psychology ; Data Collection ; Emotions
Language	English
Publishing date	2022-06-10
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/s22124402
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