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2,894 results on '"Sun, Yuanyuan"'

1. Progress in patterned wax stamp for prototyping of paper-based microfluidic analytical devices via injection molding

Author

Zhou, Zhizhi, Jiang, Jiahuan, Sun, Yuanyuan, Qin, Qing, Yuan, Sitong, Wang, Xilin, Jiang, Jianhua, Su, Yifeng, Hu, Xing, Liu, Mingying, and Yang, Feng

Subjects
Physics - Instrumentation and Detectors
Abstract

In this study, we successfully developed two-dimensional paper-based analytical devices using a hybrid technique of injection molding and embossing. This innovative approach involves passive or active delivery of molten wax onto a glass substrate through a sealed chip, facilitating wax stamp creation.

Published
2024

2. Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks

Author

Luo, Ling, Ning, Jinzhong, Zhao, Yingwen, Wang, Zhijun, Ding, Zeyuan, Chen, Peng, Fu, Weiru, Han, Qinyu, Xu, Guangtao, Qiu, Yunzhi, Pan, Dinghao, Li, Jiru, Li, Hao, Feng, Wenduo, Tu, Senbo, Liu, Yuqi, Yang, Zhihao, Wang, Jian, Sun, Yuanyuan, and Lin, Hongfei

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract

Objective: Most existing fine-tuned biomedical large language models (LLMs) focus on enhancing performance in monolingual biomedical question answering and conversation tasks. To investigate the effectiveness of the fine-tuned LLMs on diverse biomedical NLP tasks in different languages, We present Taiyi, a bilingual fine-tuned LLM for diverse biomedical tasks. Materials and Methods: We first curated a comprehensive collection of 140 existing biomedical text mining datasets (102 English and 38 Chinese datasets) across over 10 task types. Subsequently, a two-stage strategy is proposed for supervised fine-tuning to optimize the model performance across varied tasks. Results: Experimental results on 13 test sets covering named entity recognition, relation extraction, text classification, question answering tasks demonstrate that Taiyi achieves superior performance compared to general LLMs. The case study involving additional biomedical NLP tasks further shows Taiyi's considerable potential for bilingual biomedical multi-tasking. Conclusion: Leveraging rich high-quality biomedical corpora and developing effective fine-tuning strategies can significantly improve the performance of LLMs within the biomedical domain. Taiyi shows the bilingual multi-tasking capability through supervised fine-tuning. However, those tasks such as information extraction that are not generation tasks in nature remain challenging for LLM-based generative approaches, and they still underperform the conventional discriminative approaches of smaller language models.

Published
2023
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4. Single-cell transcriptomic analyses of tumor microenvironment and molecular reprograming landscape of metastatic laryngeal squamous cell carcinoma.

Author

Sun, Yuanyuan, Chen, Sheng, Lu, Yongping, Xu, Zhenming, Fu, Weineng, and Yan, Wei

Subjects
Humans, Squamous Cell Carcinoma of Head and Neck, Endothelial Cells, Tumor Microenvironment, Head and Neck Neoplasms, Gene Expression Profiling
Abstract

Laryngeal squamous cell carcinoma (LSCC) is a malignant tumor with a high probability of metastasis. The tumor microenvironment (TME) plays a critical role in cancer metastasis. To gain insights into the TME of LSCC, we conducted single-cell RNA-seq (scRNA-seq) on samples collected from LSCC patients with or without lymphatic metastasis. The stem and immune cell signatures in LSCC suggest their roles in tumor invasion and metastasis. Infiltration of a large number of regulatory T cells, dysplastic plasma cells, and macrophages that are at the early development stage in the cancerous tissue indicates an immunosuppressive state. Abundant neutrophils detected at the cancer margins reflect the inflammatory microenvironment. In addition to dynamic ligand-receptor interactions between the stromal and myeloid cells, the enhanced autophagy in endothelial cells and fibroblasts implies a role in nutrient supply. Taken together, the comprehensive atlas of LSCC obtained allowed us to identify a complex yet unique TME of LSCC, which may help identify potential diagnostic biomarkers and therapeutic targets for LSCC.

Published
2024

9. Expression and Application of Wu Region Cultural Elements in Suzhou Rail Transit Public Space

Author

WANG Yuming and SUN Yuanyuan

Subjects
suzhou metro, public space, wu region cultural elements, expression and application, Transportation engineering, TA1001-1280
Abstract

Objective With urban regional cultural inheritance as the background, the expression and application of Wu Region cultural elements in the public space of Suzhou metro are discussed, and the application value and strategies are summarized. Method Based on the connotation of Wu Region culture, such as inclusiveness, worship of literature and education, flexibility and talent, the extraction method of Wu Region cultural elements is put forward through three ways: typical extraction, abstraction rule and cultural symbol reconstruction. The case analysis is used to analyze the application of Wu Region cultural elements in Suzhou Metro entrances and exits, public art within station and inside carriage compartment from the aspects of design description, material technology, construction technology and technical requirements. The concrete ways of constructing the unique cultural landscape of Suzhou metro with architectural elements, garden elements, cultural character, catering culture, religious beliefs, language culture, opera culture and other aspects of Wu Region culture are introduced in detail. Result & Conclusion Based on the rules of Wu Region cultural elements extraction, to realize the translation and transmission of traditional culture in Suzhou Metro public space by way of establishing Wu Region cultural symbol design system, endowing Wu Region cultural symbol functions and cultural semantics, and applying modern design means will promote significance for inheriting the urban context, shaping the urban spirit in the new era, and enhancing the soft power of urban culture.

Published
2024
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12. Bio-inspired Compact, High-resolution Snapshot Hyperspectral Imaging System with 3D Printed Glass Lightguide Array

Author

Hong, Zhihan, Sun, Yuanyuan, Ye, Piaoran, Loy, Douglas A., and Liang, Rongguang

Subjects
Physics - Optics
Abstract

To address the major challenges to obtain high spatial resolution in snapshot hyperspectral imaging, 3D printed glass lightguide array has been developed to sample the intermediate image in high spatial resolution and redistribute the pixels in the output end to achieve high spectral resolution. Curved 3D printed lightguide array can significantly simplify the snapshot hyperspectral imaging system, achieve better imaging performance, and reduce the system complexity and cost. We have developed two-photon polymerization process to print glass lightguide array, and demonstrated the system performance with biological samples. This new snapshot technology will catalyze new hyperspectral imaging system development and open doors for new applications from UV to IR.

Published
2022

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