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3. Constraining the stochastic gravitational wave background using the future lunar seismometers

Author

Yan, Han, Chen, Xian, Zhang, Jinhai, Zhang, Fan, Shao, Lijing, and Wang, Mengyao

Subjects
General Relativity and Quantum Cosmology, Astrophysics - High Energy Astrophysical Phenomena
Abstract

Motivated by the old idea of using the moon as a resonant gravitational-wave (GW) detector, as well as the recent updates in modeling the lunar response to GWs, we re-evaluate the feasibility of using a network of lunar seismometers to constrain the stochastic GW background (SGWB). In particular, using the updated model of the lunar response, we derive the pattern functions for the two polarizations of GW. With these pattern functions, we further calculate the overlap reduction functions for a network of lunar seismometers, where we have relaxed the conventional assumption that lunar seismometers are perfectly leveled to measure only the vertical acceleration. We apply our calculation to two future lunar projects, namely, Chang'e and the Lunar Gravitational-Wave Antenna (LGWA). We find that the two projects could constrain the SGWB to a level of $\Omega_{\text{GW}}^{\text{Chang'e}} < 2.4 \times 10^{2}$ and $\Omega_{\text{GW}}^{\text{LGWA}} < 2.0 \times 10^{-10}$, respectively, which corresponds to a signal-to-noise ratio of SNR $=3$. These results are better than the constraints placed previously on the SGWB in the mid-frequency band (around $10^{-3}- 10~\text{Hz}$) by various types of experiments., Comment: Accepted for publication in Physical Review D

Published
2024

4. Towards a Consistent Calculation of the Lunar Response to Gravitational Waves

Author

Yan, Han, Chen, Xian, Zhang, Jinhai, Zhang, Fan, Wang, Mengyao, and Shao, Lijing

Subjects
General Relativity and Quantum Cosmology, Astrophysics - High Energy Astrophysical Phenomena
Abstract

The recent increasing interest in detecting gravitational waves (GWs) by lunar seismic measurement urges us to have a clear understanding of the response of the moon to passing GWs. In this paper, we clarify the relationship between two seemly different response functions which have been derived previously using two different methods, one taking the field-theory approach and the other using the tidal force induced by GWs. We revisit their derivation and prove, by both analytical arguments and numerical calculations, that the two response functions are equivalent. Their apparent difference can be attributed to the choice of different coordinates. Using the correct response function, we calculate the sensitivities (to GWs) of several designed lunar seismometers, and find that the sensitivity curves between $10^{-3}$ and $0.1$ Hz are much flatter than the previous calculations based on normal-mode model. Our results will help clarifying the scientific objectives of lunar GW observation, as well as provide important constraints on the design of lunar GW detectors., Comment: Accepted for publication in Physical Review D

Published
2024
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5. Pushing The Limit of LLM Capacity for Text Classification

Author

Zhang, Yazhou, Wang, Mengyao, Ren, Chenyu, Li, Qiuchi, Tiwari, Prayag, Wang, Benyou, and Qin, Jing

Subjects
Computer Science - Computation and Language
Abstract

The value of text classification's future research has encountered challenges and uncertainties, due to the extraordinary efficacy demonstrated by large language models (LLMs) across numerous downstream NLP tasks. In this era of open-ended language modeling, where task boundaries are gradually fading, an urgent question emerges: have we made significant advances in text classification under the full benefit of LLMs? To answer this question, we propose RGPT, an adaptive boosting framework tailored to produce a specialized text classification LLM by recurrently ensembling a pool of strong base learners. The base learners are constructed by adaptively adjusting the distribution of training samples and iteratively fine-tuning LLMs with them. Such base learners are then ensembled to be a specialized text classification LLM, by recurrently incorporating the historical predictions from the previous learners. Through a comprehensive empirical comparison, we show that RGPT significantly outperforms 8 SOTA PLMs and 7 SOTA LLMs on four benchmarks by 1.36% on average. Further evaluation experiments show a clear surpassing of RGPT over human classification.

Published
2024

7. DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in Conversations

Author

Zhang, Yazhou, Wang, Mengyao, Wu, Youxi, Tiwari, Prayag, Li, Qiuchi, Wang, Benyou, and Qin, Jing

Subjects
Computer Science - Computation and Language
Abstract

Large language models (LLMs) and their variants have shown extraordinary efficacy across numerous downstream natural language processing (NLP) tasks, which has presented a new vision for the development of NLP. Despite their remarkable performance in natural language generating (NLG), LLMs lack a distinct focus on the emotion understanding domain. As a result, using LLMs for emotion recognition may lead to suboptimal and inadequate precision. Another limitation of LLMs is that they are typical trained without leveraging multi-modal information. To overcome these limitations, we propose DialogueLLM, a context and emotion knowledge tuned LLM that is obtained by fine-tuning LLaMA models with 13,638 multi-modal (i.e., texts and videos) emotional dialogues. The visual information is considered as the supplementary knowledge to construct high-quality instructions. We offer a comprehensive evaluation of our proposed model on three benchmarking emotion recognition in conversations (ERC) datasets and compare the results against the SOTA baselines and other SOTA LLMs. Additionally, DialogueLLM-7B can be easily trained using LoRA on a 40GB A100 GPU in 5 hours, facilitating reproducibility for other researchers.

Published
2023

14. Circulating metabolites may illustrate relationship of alcohol consumption with cardiovascular disease

Author

Li, Yi, Wang, Mengyao, Liu, Xue, Rong, Jian, Miller, Patricia Emogene, Joehanes, Roby, Huan, Tianxiao, Guo, Xiuqing, Rotter, Jerome I, Smith, Jennifer A, Yu, Bing, Nayor, Matthew, Levy, Daniel, Liu, Chunyu, and Ma, Jiantao

Subjects
Biomedical and Clinical Sciences, Public Health, Health Sciences, Alcoholism, Alcohol Use and Health, Heart Disease - Coronary Heart Disease, Substance Misuse, Prevention, Cardiovascular, Aging, Heart Disease, Oral and gastrointestinal, Cancer, Stroke, Good Health and Well Being, Humans, Female, Middle Aged, Male, Cardiovascular Diseases, Prospective Studies, Alcohol Drinking, Coronary Disease, Diet, Risk Factors, Alcohol consumption, Cardiovascular disease, Metabolites, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundMetabolite signatures of long-term alcohol consumption are lacking. To better understand the molecular basis linking alcohol drinking and cardiovascular disease (CVD), we investigated circulating metabolites associated with long-term alcohol consumption and examined whether these metabolites were associated with incident CVD.MethodsCumulative average alcohol consumption (g/day) was derived from the total consumption of beer, wine, and liquor on average of 19 years in 2428 Framingham Heart Study Offspring participants (mean age 56 years, 52% women). We used linear mixed models to investigate the associations of alcohol consumption with 211 log-transformed plasma metabolites, adjusting for age, sex, batch, smoking, diet, physical activity, BMI, and familial relationship. Cox models were used to test the association of alcohol-related metabolite scores with fatal and nonfatal incident CVD (myocardial infarction, coronary heart disease, stroke, and heart failure).ResultsWe identified 60 metabolites associated with cumulative average alcohol consumption (p

Published
2023

15. Drug Molecule Generation Method Based on Fusion of Protein Sequence Features

Author

Wang, Mengyao, Zhang, Xiaolong, Liu, Haoran, Lin, Xiaoli, Hu, Jing, Pang, Jun, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, De-Shuang, editor, Pan, Yijie, editor, and Zhang, Qinhu, editor

Published
2024
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22. The phosphorylated pathway of serine biosynthesis affects sperm, embryo, and sporophyte development, and metabolism in Marchantia polymorpha

Author

Wang, Mengyao, Tabeta, Hiromitsu, Ohtaka, Kinuka, Kuwahara, Ayuko, Nishihama, Ryuichi, Ishikawa, Toshiki, Toyooka, Kiminori, Sato, Mayuko, Wakazaki, Mayumi, Akashi, Hiromichi, Tsugawa, Hiroshi, Shoji, Tsubasa, Okazaki, Yozo, Yoshida, Keisuke, Sato, Ryoichi, Ferjani, Ali, Kohchi, Takayuki, and Hirai, Masami Yokota

Published
2024
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23. An optimal allocation method for electric vehicle charging stations considering low-carbon transportation

Author

XUAN Yi, FAN Libo, SUN Zhiqing, JIANG Jian, CHEN Duowen, DENG Kai, and WANG Mengyao

Subjects
low-carbon transportation, carbon emission, ev charging station, optimal allocation, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Transport-related carbon emissions are a significant contributor to overall urban emissions， yet these emissions are rarely factored into the planning of urban electric vehicle （EV） charging stations. In light of this， an optimal allocation method for EV charging stations is conceived， with specific attention to low-carbon constraints on transportation. The approach begins with the establishment of a regional carbon emissions network based on potential locations for charging stations， taking into account the impact of varying factors such as station location and capacity to develop a model for grid-based carbon emissions from transportation. Moving forward， a comprehensive low-carbon transportation index is formulated， which integrates four key factors： the volume of carbon emissions， the mix of energy sources for transportation， the cleanliness of electric power utilized in transportation， and the utilization rate of charging stations. This index is used to measure the impact that the deployment plan for charging stations has on transportation-related carbon emissions. With the low-carbon transportation index serving as a constraint， a dual-objective optimization model is introduced that respects carbon emissions of transportation while also considering economic viability and the objectives of conserving energy and reducing emissions. Finally， the approach is put to the test through simulation in a specific region， with outcomes indicating that the optimal allocation method， constrained by low-carbon transport considerations， can effectively decrease carbon emissions of transportation in various urban districts without necessitating an increase in investment costs.

Published
2024
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39. Metasurface Enhanced Spatial Mode Decomposition

Author

Jones, Aaron W., Wang, Mengyao, Zhang, Xuecai, Cooper, Samuel J., Chen, Shumei, Mow-Lowry, Conor M., and Freise, Andreas

Subjects
Physics - Optics, Physics - Instrumentation and Detectors
Abstract

Acquiring precise information about the mode content of a laser is critical for multiplexed optical communications, optical imaging with active wave-front control, and quantum-limited interferometric measurements. Hologram-based mode decomposition devices, such as spatial light modulators, allow a fast, direct measurement of the mode content, but they have limited precision due to cross-coupling between modes. Here we report the first proof-of-principle demonstration of mode decomposition with a metasurface, resulting in significantly enhanced precision. A mode-weight fluctuation of $6\times 10^{-7}$ was be measured with 1 second of averaging at a Fourier frequency of 80 Hz, an improvement of more than three orders of magnitude compared to the state-of-the-art spatial light modulator decomposition. The improvement is attributable to the reduction in cross-coupling enabled by the exceptional small pixel size of the metasurface. We show a systematic study of the limiting sources of noise, and we show that there is a promising path towards complete mode decomposition with similar precision., Comment: Peer-reviewed version. Accepted for publication in Physical Review A. 6 pages, 8 figures

Published
2021
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43. Multicellular ecotypes shape progression of lung adenocarcinoma from ground-glass opacity toward advanced stages

Author

Deng, Yulan, Xia, Liang, Zhang, Jian, Deng, Senyi, Wang, Mengyao, Wei, Shiyou, Li, Kaixiu, Lai, Hongjin, Yang, Yunhao, Bai, Yuquan, Liu, Yongcheng, Luo, Lanzhi, Yang, Zhenyu, Chen, Yaohui, Kang, Ran, Gan, Fanyi, Pu, Qiang, Mei, Jiandong, Ma, Lin, Lin, Feng, Guo, Chenglin, Liao, Hu, Zhu, Yunke, Liu, Zheng, Liu, Chengwu, Hu, Yang, Yuan, Yong, Zha, Zhengyu, Yuan, Gang, Zhang, Gao, Chen, Luonan, Cheng, Qing, Shen, Shensi, and Liu, Lunxu

Published
2024
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