科研成果

2024
Gu J. The low‑carbon city initiative and urban inbound tourismeconomy: a spatial difference‑in‑differences analysis. Environment, Development and Sustainability [Internet]. 2024;000:1-22. 访问链接Abstract
Although tourism is often treated as one of the crucial industries for the construction of low-carbon cities (LCCs), there is no systematic evidence on whether there is a causal relationship. This research aims to explore and empirically test the causal link between LCC initiatives and inbound tourism of cities using a spatial difference-in-differences approach with balanced panel data of 59 Chinese major tourism cities from 2000 to 2017. The results show that urban tourism by foreign tourists exhibits significant spatial spillover effects. Compared to non-LCCs, the number of foreign tourists on LCCs increased by 4.7 percentage points and the average length of stay of foreign tourists increased by 3.6 percentage points. The direct impact of the LCC initiative on foreign tourists was significant, while the indirect impact was insignificant. The findings of the study not only deepen the researchon sustainable tourism behavior of inbound tourists, but also provide valuable references for cities to participate in the competition in the international tourism market through low-carbon development.
Tang Y, Su L. Mapping the Evolving Landscape of Library-Related Policies in China: A Topic Modeling Approach. Serials Review. 2024;50(3-4):135-148.
Xing B, Ying X, Wang R. Masked Local-Global Representation Learning for 3D Point Cloud Domain Adaptation, in IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024. IEEE; 2024:418–424. 访问链接
Xing B, Ying X, Wang R. Masked local-global representation learning for 3d point cloud domain adaptation, in IEEE International Conference on Robotics and Automation. IEEE; 2024:418–424.
Wang K, Wang Y, Xu F. Massive Star Formation Starts in Sub-virial Dense Clumps Unless Resisted by Strong Magnetic Fields. ApJL [Internet]. 2024;974:L6. 访问链接
Hu Z, Shao L. Measuring the Spin of the Galactic Center Supermassive Black Hole with Two Pulsars. Phys. Rev. Lett. 2024;133:231402.
Zhai S, Chen H, Dong Y, Li J, Shen Q, Gao Y, Su H, Liu Y. Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy, in Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024.; 2024. 访问链接
Chang F, Zhang G, Xiong L, Liu S, Wang S, Liu Y. Metabasites from the Central East Kunlun Orogenic Belt Inform a New Suture Model for Subduction and Collision in the Early Paleozoic Proto-Tethys Ocean. Minerals. 2024;14:449.
Su Z, Cui S, Wen D, Chen L. Metagenomic insights into resistome, mobilome and virulome in different fecal waste. Environmental Research [Internet]. 2024;262:119861. 访问链接Abstract
Fecal waste is a significant source of antimicrobial resistance (AMR) pollution and provides valuable insights into the AMR development in animal and human populations within the “One health” framework. Various genetic elements, including antibiotic resistance genes (ARGs), biocide and metal resistance genes (BMGs), mobile genetic elements (MGEs), and virulence factor genes (VFGs), are crucial AMR risk determinants (ARDs). However, few studies focused on compositional characteristics of ARDs in different feces. Here, we analyzed 753 public metagenomes from human, pig, chicken, and cattle feces, revealing significant differences in ARD richness and abundance across fecal types, notably lowest in cattle samples. Tetracycline, multi-metal, and -biocide resistance genes were dominant resistome. A few core genes contributed to 25.6%–91.1% of gene abundance, and their correlations were stronger in cattle samples. Procrustes analysis showed that microbial composition had higher correlations with ARGs (M2 = 0.579) and BMGs (M2 = 0.519). Gammaproteobacteria was identified as major ARD-hosts especially in human and pig feces, and they mainly carried multi-resistance genes. MGEs exhibited direct positive effects on ARGs and BMGs, indirectly impacting VFGs. Utilizing random forest methods, we identified 42 indicator genes for tracking AMR pollution originating from fecal sources in the environments. This study offers new insights into understanding and controlling the AMR pollution of fecal waste from human and food animals.
Zheng Y, Su Z, Liu D, Huang B, Mu Q, Li Y, Wen D. Metagenomics reveals the influence of small microplastics on microbial communities in coastal sediments. Science of The Total EnvironmentScience of The Total Environment [Internet]. 2024;914:169982. 访问链接Abstract
The ecological impact of microplastics (MPs) in coastal environments has been widely studied. However, the influence of small microplastics in the actual environment is often overlooked due to measurement challenges. In this study, Hangzhou Bay (HZB), China, was selected as our study area. High-throughput metagenomic sequencing and micro-Raman spectrometry were employed to analyze the microbial communities and microplastics of coastal sediment samples, respectively. We aimed to explore the ecological impact of MPs with small sizes (≤ 100 μm) in real coastal sediment environments. Our results revealed that as microplastic size decreased, the environmental behavior of MPs underwent alterations. In the coastal sediments, no significant correlations were observed between the detected MPs and the whole microbial communities, but small MPs posed potential hazards to eukaryotic communities. Moreover, these small MPs were more prone to microbial degradation and significantly affected carbon metabolism in the habitat. This study is the first to reveal the comprehensive impact of small MPs on microbial communities in a real coastal sediment environment.
Zheng Y, Su Z, Liu D, Huang B, Mu Q, Li Y, Wen D. Metagenomics reveals the influence of small microplastics on microbial communities in coastal sediments. Science of the Total Environment. 2024;914:169982.
He Y, Du J, Liu S-ming, Tian C, Zhang M, Zhu Y-H, Zhong H-xia, Wang X, Shi J-jie. Metal-bonded perovskite lead hydride with phonon-mediated superconductivity exceeding 46 K under ambient pressure. Journal of Physics: Condensed Matter [Internet]. 2024;36:205502. 访问链接Abstract
In the search for high-temperature superconductivity in hydrides, a plethora of multi-hydrogen superconductors have been theoretically predicted, and some have been synthesized experimentally under ultrahigh pressures of several hundred GPa. However, the impracticality of these high-pressure methods has been a persistent issue. In response, we propose a new approach to achieve high-temperature superconductivity under ambient pressure by implanting hydrogen into lead to create a stable few-hydrogen binary perovskite, Pb4H. This approach diverges from the popular design methodology of multi-hydrogen covalent high critical temperature (Tc ) superconductors under ultrahigh pressure. By solving the anisotropic Migdal–Eliashberg equations, we demonstrate that perovskite Pb4H presents a phonon-mediated superconductivity exceeding 46 K with inclusion of spin–orbit coupling, which is six times higher than that of bulk Pb (7.22 K) and comparable to that of MgB2, the highest Tc achieved experimentally at ambient pressure under the Bardeen, Cooper, and Schrieffer framework. The high Tc can be attributed to the strong electron–phonon coupling strength of 2.45, which arises from hydrogen implantation in lead that induces several high-frequency optical phonon modes with a relatively large phonon linewidth resulting from H atom vibration. The metallic-bonding in perovskite Pb4H not only improves the structural stability but also guarantees better ductility than the widely investigated multi-hydrogen, iron-based and cuprate superconductors. These results suggest that there is potential for the exploration of new high-temperature superconductors under ambient pressure and may reignite interest in their experimental synthesis in the near future.
Ru Huang, Jin Luo TLQH. Method for implementing adaptive stochastic spiking neuron based on ferroelectric field effect transistor. 2024.
Ru Huang, Jin Luo TLQH. Method for implementing adaptive stochastic spiking neuron based on ferroelectric field effect transistor. 2024.
Xie L, Lin M, Xu CM, Luan T, Zeng Z, Qian W, Li C, Fang Y, Shen Q, Wu Z. MH-pFLGB: Model Heterogeneous Personalized Federated Learning via Global Bypass for Medical Image Analysis, in Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part X.Vol 15010. Springer; 2024:534–545. 访问链接
Xie L, Lin M, Luan T, Li C, Fang Y, Shen Q, Wu Z. MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis, in Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024. OpenReview.net; 2024. 访问链接
Xu L, Li K, Bai X, Zhang G, Tian X, Tang Q, Zhang M, Hu M, Huang Y. Microplastics in the atmosphere: Adsorb on leaves and their effects on the phyllosphere bacterial community. Journal of Hazardous Materials [Internet]. 2024;462:132789. 访问链接Abstract
Phyllosphere is the largest interface between the atmosphere and terrestrial ecosystems and serves as a major sink for atmospheric microplastics (MPs). It is also a unique habitat for microbiota with diverse ecological functions. This field study investigated the characteristics of atmospheric MPs adsorbed on leaves with automatic technology, and found their abundance was 3.62 ± 1.29 items cm−2. MPs on leaves were mainly below 80 µm, and dominated by polyamide, polyethene, and rubber. MPs on leaves correlated significantly with the structure and functions of the phyllosphere bacterial community (PBC). Both the MPs abundance and size distribution (MSD) were positively correlated with the α diversity and negatively correlated with the β diversity and network complexity of PBC. PBC functions of environmental and genetic information process were negatively correlated with MPs abundance, and functions related to human diseases and cellular process were positively correlated with MSD significantly. The relative abundance of Sphingomonas was significantly correlated with the MSD, suggesting that Sphingomonas might emerge as the key genus involved in the pathogenicity of PBC mediated by MPs. These results highlighted the ecological health risks of atmospheric MPs as they can be transferred anywhere and potentially increase the pathogenicity of local phyllosphere microflora.
Wang K, Ge Y, Baug T. The Milky Way Atlas for Linear Filaments. A&A [Internet]. 2024;686:L11. 访问链接
Xu X, Wang K, Gou Q, Baug T, Di Li, Zhongshi Wang, Duan C, Lei J. The Milky Way atlas for linear filaments II. clump rotation versus filament orientation. MNRAS [Internet]. 2024;535:940. 访问链接
Masoudi M, Nooraiepour M, Deng H, Hellevang H. Mineral precipitation and geometry alteration in porous structures: how to upscale variations in permeability–porosity relationship?. Energy & Fuels [Internet]. 2024;38(11). 访问链接Abstract
Porous materials in natural and engineered environments are subject to morphological changes resulting from interacting chemical and physical processes. The intricate nature of these coupled processes, occurring at various temporal and spatial scales, poses challenges in predicting alterations in porosity and permeability. Delineating the controls of mineral precipitation reactions is particularly challenging because it requires the implementation of nucleation criteria and growth mechanisms. By conducting pore-scale simulations, we investigated the impact of the amount and stochastic distribution of crystallites, controlled by nucleation, on pore geometry and permeability in two-dimensional porous structures. The observed relationships between porosity and permeability exhibit characteristics that differ from the ones that are typically applied in dissolving porous media because of the clogging effect. Additionally, we propose a stochastic framework that upscales the coevolution of permeability and porosity across length scales. This framework enables the upscaling of clogging behavior to continuum-scale simulations based on statistical probability distributions of permeability–porosity variations.

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