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36 results on '"Li, Changtai"'

1. Novel immunotherapeutics against LGR5 to target multiple cancer types

Author

Chen, Hung-Chang, Mueller, Nico, Stott, Katherine, Kapeni, Chrysa, Rivers, Eilidh, Sauer, Carolin M, Beke, Flavio, Walsh, Stephen J, Ashman, Nicola, O’Brien, Louise, Rafati Fard, Amir, Ghodsinia, Arman, Li, Changtai, Joud, Fadwa, Giger, Olivier, Zlobec, Inti, Olan, Ioana, Aitken, Sarah J, Hoare, Matthew, Mair, Richard, Serrao, Eva, Brenton, James D, Garcia-Gimenez, Alicia, Richardson, Simon E, Huntly, Brian, Spring, David R, Skjoedt, Mikkel-Ole, Skjødt, Karsten, de la Roche, Marc, and de la Roche, Maike

Published
2024
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2. MatSAM: Efficient Extraction of Microstructures of Materials via Visual Large Model

Author

Li, Changtai, Han, Xu, Yao, Chao, and Ban, Xiaojuan

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Efficient and accurate extraction of microstructures in micrographs of materials is essential in process optimization and the exploration of structure-property relationships. Deep learning-based image segmentation techniques that rely on manual annotation are laborious and time-consuming and hardly meet the demand for model transferability and generalization on various source images. Segment Anything Model (SAM), a large visual model with powerful deep feature representation and zero-shot generalization capabilities, has provided new solutions for image segmentation. In this paper, we propose MatSAM, a general and efficient microstructure extraction solution based on SAM. A simple yet effective point-based prompt generation strategy is designed, grounded on the distribution and shape of microstructures. Specifically, in an unsupervised and training-free way, it adaptively generates prompt points for different microscopy images, fuses the centroid points of the coarsely extracted region of interest (ROI) and native grid points, and integrates corresponding post-processing operations for quantitative characterization of microstructures of materials. For common microstructures including grain boundary and multiple phases, MatSAM achieves superior zero-shot segmentation performance to conventional rule-based methods and is even preferable to supervised learning methods evaluated on 16 microscopy datasets whose micrographs are imaged by the optical microscope (OM) and scanning electron microscope (SEM). Especially, on 4 public datasets, MatSAM shows unexpected competitive segmentation performance against their specialist models. We believe that, without the need for human labeling, MatSAM can significantly reduce the cost of quantitative characterization and statistical analysis of extensive microstructures of materials, and thus accelerate the design of new materials., Comment: 18 pages, 8 figures, and 5 tables. Updated with revision and code repository

Published
2024

3. Publisher Correction: Novel immunotherapeutics against LGR5 to target multiple cancer types

Author

Chen, Hung-Chang, Mueller, Nico, Stott, Katherine, Kapeni, Chrysa, Rivers, Eilidh, Sauer, Carolin M, Beke, Flavio, Walsh, Stephen J, Ashman, Nicola, O’Brien, Louise, Rafati Fard, Amir, Ghodsinia, Arman, Li, Changtai, Joud, Fadwa, Giger, Olivier, Zlobec, Inti, Olan, Ioana, Aitken, Sarah J, Hoare, Matthew, Mair, Richard, Serrao, Eva, Brenton, James D, Garcia-Gimenez, Alicia, Richardson, Simon E, Huntly, Brian, Spring, David R, Skjoedt, Mikkel-Ole, Skjødt, Karsten, de la Roche, Marc, and de la Roche, Maike

Published
2024
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18. Cloud Goods Recognition System Based on PCA and SVM

Author

He, Jianbiao, Zhang, Baojiang, Chen, Ruina, Li, Changtai, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Xu, Zongben, editor, Gao, Xinbo, editor, Miao, Qiguang, editor, Zhang, Yunquan, editor, and Bu, Jiajun, editor

Published
2018
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21. Modelling and Optimization of Clean and Affordable Electricity Solution for Small-Scale Savings and Credit Cooperatives (SACCOs)

Author

Lin, Xiaomei, primary, Bimenyimana, Samuel, additional, Wang, Chen, additional, Norense Osarumwensa Asemota, Godwin, additional, Paula Ihirwe, Jeanne, additional, Nduwamungu, Aphrodis, additional, Ntagwirumugara, Etienne, additional, Gace, Athanase, additional, Yuan, Changfu, additional, Chen, Yaowen, additional, Li, Changtai, additional, Bora, Shilpi, additional, Mo, YiYi, additional, Lai, Jiyu, additional, Wu, Mabao, additional, Tang, Yong, additional, and M. Huang, Merit, additional

Published
2023
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26. Effect of Varying Temperature and Oxygen on Particulate Matter Formation in Oxy-Biomass Combustion

Author

Wang, Chen, primary, Kemunto Mesa, Cicilia, additional, Bimenyimana, Samuel, additional, Bogonko, Nathan, additional, Adwek, George, additional, Mo, Yiyi, additional, Norense Osarumwense Asemota, Godwin, additional, Yuan, Changfu, additional, Chen, Yaowen, additional, Li, Changtai, additional, Ntagwirumugara, Etienne, additional, and Nduwamungu, Aphrodis, additional

Published
2022
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34. Economic and strategic dimensions of mega-FTAs: A perception survey of Asian opinion leaders

Author

Ji, Xianbai, Rana, Pradumna Bickram, Chia, Wai-Mun, Li, Changtai, and S. Rajaratnam School of International Studies

Subjects
Country and Region Studies, East Asia and Asia Pacific
Abstract

The advent of mega-free trade agreements (mega-FTAs) including the Trans-Pacific Partnership (TPP), the Regional Comprehensive Economic Partnership (RCEP) and the Transatlantic Trade and Investment Partnership (TTIP) is a defining feature of global trade governance in the 21st century. What are the costs and benefits of mega-FTAs? What is the political and strategic calculus behind mega-FTAs? Is there a “domino effect” triggering off the mega-FTA troika in a chain of reactions? Does mega-regionalism reinforce or undermine multilateralism? Since commonly used econometrics models cannot shed light on non-economic issues, this paper examines mega-regionalism by conducting a perception survey. This survey received responses from 648 opinion leaders located in 31 Asian countries. Respondents felt that mega-FTAs are good trade policy instruments that are “building blocks” to multilateralism. Linked by a “domino effect”, the mega-FTAs have important political and strategic dimensions. The United States wants to socialise China by writing high-standard “rules of the road” through the TPP. China then pivoted to RCEP to counter the TPP. Brussels through TTIP wanted to join the mega-FTA bandwagon to stay relevant. Additionally, remaining questions on decentralising global economic architecture highlight the need for regional and global institutions to complement each other.

Published
2016

35. Application Driven Network

Author

Wang, Yi, primary, Lin, Dong, additional, Li, Changtai, additional, Zhang, Junping, additional, Liu, Peng, additional, Hu, Chengchen, additional, and Zhang, Gong, additional

Published
2016
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36. Imaging Cell Signaling in Tissues Using the IBEX Method.

Author

Meng Y, Li C, Patient GS, Tian Y, and Chu CJ

Subjects
Humans, Biomarkers, Molecular Imaging methods, Signal Transduction, Immunohistochemistry methods, Retina metabolism, Retina cytology
Abstract

The study of cell signaling within tissues can be enhanced using highly multiplexed immunohistochemistry to localize the presence and spatial distribution of numerous pathways of interest simultaneously. Additional data can also be gained by placing the identified proteins into the context of adjacent structures, stroma, and interacting partners. Here, we outline a protocol for using the recently described IBEX method on tissues. This is an open and simple cyclic immunohistochemistry approach suited to this application. We describe a simplified protocol and provide guidance on the method, using a 12-marker panel on human retina to demonstrate the approach., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Published
2024
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