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Your search keyword '"Liu, Yuyan"' showing total 1,228 results
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1,228 results on '"Liu, Yuyan"'

1. What Roles can Spatial Modulation and Space Shift Keying Play in LEO Satellite-Assisted Communication?

Author

Zhang, Chaorong, Wu, Qingying, Liu, Yuyan, Ng, Benjamin K., and Lam, Chan-Tong

Subjects
Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract

In recent years, the rapid evolution of satellite communications play a pivotal role in addressing the ever-increasing demand for global connectivity, among which the Low Earth Orbit (LEO) satellites attract a great amount of attention due to their low latency and high data throughput capabilities. Based on this, we explore spatial modulation (SM) and space shift keying (SSK) designs as pivotal techniques to enhance spectral efficiency (SE) and bit-error rate (BER) performance in the LEO satellite-assisted multiple-input multiple-output (MIMO) systems. The various performance analysis of these designs are presented in this paper, revealing insightful findings and conclusions through analytical methods and Monte Carlo simulations with perfect and imperfect channel state information (CSI) estimation. The results provide a comprehensive analysis of the merits and trade-offs associated with the investigated schemes, particularly in terms of BER, computational complexity, and SE. This analysis underscores the potential of both schemes as viable candidates for future 6G LEO satellite-assisted wireless communication systems.

Published
2024

2. MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction

Author

Liu, Yuyan, Ding, Sirui, Zhou, Sheng, Fan, Wenqi, and Tan, Qiaoyu

Subjects
Quantitative Biology - Quantitative Methods, Computer Science - Artificial Intelligence, Computer Science - Computational Engineering, Finance, and Science, Computer Science - Computation and Language, Computer Science - Machine Learning
Abstract

Molecular property prediction (MPP) is a fundamental and crucial task in drug discovery. However, prior methods are limited by the requirement for a large number of labeled molecules and their restricted ability to generalize for unseen and new tasks, both of which are essential for real-world applications. To address these challenges, we present MolecularGPT for few-shot MPP. From a perspective on instruction tuning, we fine-tune large language models (LLMs) based on curated molecular instructions spanning over 1000 property prediction tasks. This enables building a versatile and specialized LLM that can be adapted to novel MPP tasks without any fine-tuning through zero- and few-shot in-context learning (ICL). MolecularGPT exhibits competitive in-context reasoning capabilities across 10 downstream evaluation datasets, setting new benchmarks for few-shot molecular prediction tasks. More importantly, with just two-shot examples, MolecularGPT can outperform standard supervised graph neural network methods on 4 out of 7 datasets. It also excels state-of-the-art LLM baselines by up to 15.7% increase on classification accuracy and decrease of 17.9 on regression metrics (e.g., RMSE) under zero-shot. This study demonstrates the potential of LLMs as effective few-shot molecular property predictors. The code is available at https://github.com/NYUSHCS/MolecularGPT.

Published
2024

8. Single-cell RNA sequencing illuminates the ontogeny, conservation and diversification of cartilaginous and bony fish lymphocytes

Author

Wang, Hong-Yan, Chen, Jian-Yang, Li, Yanan, Zhang, Xianghui, Liu, Xiang, Lu, Yifang, He, Hang, Li, Yubang, Chen, Hongxi, Liu, Qun, Huang, Yingyi, Jia, Zhao, Li, Shuo, Zhang, Yangqing, Han, Shenglei, Jiang, Shuhong, Yang, Mingming, Zhang, Yingying, Zhou, Li, Tan, Fujian, Ji, Qianyue, Meng, Liang, Wang, Rui, Liu, Yuyan, Liu, Kaiqiang, Wang, Qian, Seim, Inge, Zou, Jun, Fan, Guangyi, Liu, Shanshan, and Shao, Changwei

Published
2024
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10. Research progress on applications and mechanisms of osteogenesis effect of magnetic fields in oral field

Author

CHEN Jinquan, LIU Yuyan, WANG Guoqing, SUN Xiumei

Subjects
magnetic fields, jaw, osteogenesis, bone resorption, signal transduction, osseointegration, fracture healing, tooth movement techniques, bone lengthening, Medicine
Abstract

Magnetic fields are safe and used in noninvasive physical therapies. Numerous studies have confirmed that magnetic fields have good osteogenic effects and certain value for clinical application in accelerating orthodontic tooth movement, promoting bone-implant integration, promoting fracture healing and improving the effects of distraction osteogenesis. Magnetic fields are expected to become applied as effective auxiliary methods for treating oral diseases. To support the clinical application of magnetic fields, this article reviews the applications of magnetic fields in the oral cavity, the biological effects on bone cells and the molecular mechanisms through which magnetic fields regulate bone metabolism. The biological effects of magnetic fields on bone cells include promoting osteogenesis by osteoblasts and mesenchymal stem cells and inhibiting bone resorption by osteoclasts. At the molecular level, bone cells sense and respond to magnetic stimulation, and through various mechanisms, such as displacement currents, Lorentz forces, and free radical pair effects, stimuli are transformed into biologically recognizable electrical signals that activate complex downstream signaling pathways, such as the P2 purinergic receptor signaling pathway, adenosine receptor signaling pathway, transforming growth factor-β receptor signaling pathway, mammalian target of rapamycin (mTOR) pathway, and Notch pathway. In addition, magnetic parameters, which are the factors affecting the osteogenic effects of magnetic fields, are discussed. However, the mechanisms of the osteogenic effects of magnetic fields are unclear, and further studies of these mechanisms could provide effective strategies for bone regeneration and periodontal tissue regeneration. In addition, considering the target of magnetic field therapies, combination with other drugs could lead to new strategies for the treatment of oral diseases.

Published
2024
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44. Collaborative Optimization Design of Multi-train Operation Curve Based on Utilization of Regenerative Braking Energy in Urban Rail Transit

Author

Song, Meiyu, Wu, Xiaobo, Jin, Taimu, Liu, Yuyan, Lin, Fei, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Liang, Jianying, editor, Liu, Zhigang, editor, Diao, Lijun, editor, and An, Min, editor

Published
2022
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46. Changes of Soluble Nickel and Arsenic in Receiving Water with Rainfall-Runoff Inflow

Author

Liu Haofeng, Liu Yuyan, Zhang Yiwei, Ding Fangfang, Zhang Niuniu, and Wang Lin

Subjects
rainfall-runoff, receiving water, soluble state, rainfall intensity, ni, as, meishe river, haikou, Geography (General), G1-922
Abstract

Rainfall-runoff is the main source of pollution in the urban water environment. This study investigated the dynamic changes of soluble Nickel (Ni) and Arsenic (As) in the receiving water body after the rainfall and runoff of the Meishe River in Haikou. Field sampling and indoor analysis were used. Results revealed that the solid-liquid partitioning of Ni and As in the receiving water body is directly disturbed by the inflow of rainfall-runoff. The main source of the input is the suspended state, and the input of the dissolved state is smaller. The specific performance is as follows. Before the rainfall-runoff flows into the receiving water body, the ratio of soluble Ni and As to the total content reaches 55.67% and 94.77%, respectively. After the rainfall-runoff flows in, a series of dynamic changes of Ni and As occur in the receiving water body. The proportion of soluble Ni and As at the outlet decreases significantly and changes dramatically, reaching 20.97% and 76.92% of the total content, respectively. The proportion of soluble Ni and As in the downstream of the drainage outlet also decreases to a certain extent, reaching 47.23% and 88.38%, respectively. The data under different rainfall scenarios indicate that the long dry period, when the rainfall is less than 10 mm, is the main factor affecting the dynamic changes of soluble Ni and As. Furthermore, the long dry period, along with the peak time, and magnitude of the rain intensity are the major influencing factors of the response time and degree of soluble Ni and As to rainfall-runoff, when the rainfall amount ranges from 10-30 mm. The peak time of rainfall intensity is the main factor affecting the dynamic change of soluble Ni and As in the receiving waters when the rainfall amount is above 30 mm. The effects of rainfall-runoff on the soluble Ni and As in the receiving water are different. When the dry period is short and the maximum rainfall intensity is high, in receiving water, soluble As is less affected by rainfall-runoff, while soluble Ni is significantly affected.

Published
2022
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