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1,882 results on '"Wang, Shaopeng"'

1. Pressure induced nonmonotonic evolution of superconductivity in 6R-TaS2 with a natural bulk van der Waals heterostructure

Author

Wang, Shaopeng, Han, Yuyan, Sun, Sutao, Wang, Shuyang, An, Chao, Chen, Chunhua, Zhang, Lili, Zhou, Yonghui, Zhou, Jian, and Yang, Zhaorong

Subjects
Condensed Matter - Superconductivity, Condensed Matter - Materials Science, Condensed Matter - Strongly Correlated Electrons
Abstract

The natural bulk van der Waals heterostructures compound 6R-TaS2 consists of alternate stacking 1T- and 1H-TaS2 monolayers, creating a unique system that incorporates charge-density-wave (CDW) order and superconductivity (SC) in distinct monolayers. Here, after confirming that the 2D nature of the lattice is preserved up to 8 GPa in 6R-TaS2, we documented an unusual evolution of CDW and SC by conducting highpressure electronic transport measurements. Upon compression, we observe a gradual suppression of CDW within the 1T-layers, while the SC exhibits a dome-shaped behavior that terminates at a critical pressure Pc around 2.9 GPa. By taking account of the fact that the substantial suppression of SC is concomitant with the complete collapse of CDW order at Pc, we argue that the 6R-TaS2 behaves like a stack of Josephson junctions and thus the suppressed superconductivity can be attributed to the weakening of Josephson coupling associated with the presence of CDW fluctuations in the 1T-layers. Furthermore, the SC reversely enhances above Pc, implying the development of emergent superconductivity in the 1T-layers after the melting of T-layer CDW orders. These results show that the 6R-TaS2 not only provides a promising platform to explore emergent phenomena but also serves as a model system to study the complex interactions between competing electronic states., Comment: 21 pages,5 figures

Published
2024
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10. Research on the development of intelligent computing network for large models

Author

GUO Liang, WANG Shaopeng, QUAN Wei, and LI Jie

Subjects
large model, intelligent computing center, network technology, Telecommunication, TK5101-6720, Technology
Abstract

In recent years, the world has entered a period of vigorous development in intelligent computing. As deep learning models with huge parameters and complex structures, large model training requires fast synchronization of training parameters between multiple cards and servers, which imposes higher requirements on the bandwidth, latency, reliability, scalability and security of datacenter networks. The requirements and related key technologies of intelligent computing networks for large model training were studied, and the standard specifications, academic research, and case practices of intelligent computing networks were analyzed, in order to promote the development of intelligent computing networks.

Published
2024
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12. Super-Resolution-Based Change Detection Network with Self-attention for Images with Different Resolutions

Author

Wang, Shaopeng, Han, Meng, Niu, Chaoyu, Hou, Min, 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, Zhang, Xiankun, editor, and Zhang, Chuanlei, editor

Published
2024
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25. Study on the Mechanism of Budesonide in the Treatment of IgA Nephropathy Based on Network Pharmacology

Author

ZHANG Kang, ZHAO Tingting, ZHANG Bo, GAO Mengqi, LI Yuxi, WANG Shaopeng, ZHAO Wenjing

Subjects
budesonide, glomerulonephritis, iga, iga nephropathy, network pharmacology, signaling pathway, Medicine
Abstract

Background IgA nephropathy (IgAN) is the most common primary glomerulonephritis in China and worldwide, approximately 25%-30% of patients will progress to end-stage renal disease within 20 years after diagnosis. Currently, there is no effective and safe treatment specifically for IgAN. In recent years, there has been a rapid progress in the research of new drugs for IgAN, among which the targeted delayed-release budesonide capsules is the first allopathic drug for IgAN globally. Objective To investigate the mechanism of corticosteroid budesonide capsules in the treatment of IgAN based on network pharmacology. Methods Chemical Book platform was used to screen the targets of budesonide; GeneCards and CTD databases were utilized to obtain the relevant targets of IgAN. The intersection of budesonide targets and IgAN targets was obtained through a Venn diagram. A protein-protein interaction (PPI) network map was constructed, and gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed on the intersecting targets. Results A total of 242 targets for budesonide, 1 443 candidate targets for IgAN, and 146 intersecting targets were selected. The 15 core targets in the PPI network included interleukin-6 (IL-6), tumor necrosis factor (TNF), interleukin-10 (IL-10), vascular endothelial growth factor A (VEGFA), epidermal growth factor receptor (EGFR), interleukin-1B (IL-1B), interleukin-4 (IL-4), interleukin-8 (CXCL8), gene on chromosome 1 (JUN), interleukin-13 (IL-13), interleukin-2 (IL-2), chemokine 2 (CCL2), toll-like receptor 4 (TLR4), colony-stimulating factors (CSF2), and albumin (ALB). Enrichment analysis revealed 1 646 GO enrichment results and 174 KEGG signaling pathways. The biological processes (BP) mainly involved positive regulation of phosphorylation, inflammatory response, and positive regulation of cell movement. The cellular components (CC) mainly involved cytoplasmic vesicle lumen, cyst cavity, and secretory granule lumen. The molecular functions (MF) mainly involved receptor signaling activity, receptor regulator activity, and receptor ligand activity. The KEGG signaling pathways mainly included interleukin 17 signaling pathway, cytokine-cytokine receptor interaction, pathways in cancer, and tumor necrosis factor signaling pathway. Conclusion This study provides preliminary verified that budesonide can treat IgAN by targeting IL-6, TNF, IL-10, VEGFA, EGFR, and other targets, through multiple signaling pathways, like cytokine-cytokine receptor interaction, interleukin-17 signaling pathway, pathways in cancer, and tumor necrosis factor signaling pathway, providing a theoretical basis for further research and clinical practice of budesonide.

Published
2023
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38. Multidimensional responses of grassland stability to eutrophication

Author

Chen, Qingqing, Wang, Shaopeng, Borer, Elizabeth T., Bakker, Jonathan D., Seabloom, Eric W., Harpole, W. Stanley, Eisenhauer, Nico, Lekberg, Ylva, Buckley, Yvonne M., Catford, Jane A., Roscher, Christiane, Donohue, Ian, Power, Sally A., Daleo, Pedro, Ebeling, Anne, Knops, Johannes M. H., Martina, Jason P., Eskelinen, Anu, Morgan, John W., Risch, Anita C., Caldeira, Maria C., Bugalho, Miguel N., Virtanen, Risto, Barrio, Isabel C., Niu, Yujie, Jentsch, Anke, Stevens, Carly J., Gruner, Daniel S., MacDougall, Andrew S., Alberti, Juan, and Hautier, Yann

Published
2023
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42. Environmental heterogeneity modulates the effect of plant diversity on the spatial variability of grassland biomass

Author

Daleo, Pedro, Alberti, Juan, Chaneton, Enrique J., Iribarne, Oscar, Tognetti, Pedro M., Bakker, Jonathan D., Borer, Elizabeth T., Bruschetti, Martín, MacDougall, Andrew S., Pascual, Jesús, Sankaran, Mahesh, Seabloom, Eric W., Wang, Shaopeng, Bagchi, Sumanta, Brudvig, Lars A., Catford, Jane A., Dickman, Chris R., Dickson, Timothy L., Donohue, Ian, Eisenhauer, Nico, Gruner, Daniel S., Haider, Sylvia, Jentsch, Anke, Knops, Johannes M. H., Lekberg, Ylva, McCulley, Rebecca L., Moore, Joslin L., Mortensen, Brent, Ohlert, Timothy, Pärtel, Meelis, Peri, Pablo L., Power, Sally A., Risch, Anita C., Rocca, Camila, Smith, Nicholas G., Stevens, Carly, Tamme, Riin, Veen, G. F. (Ciska), Wilfahrt, Peter A., and Hautier, Yann

Published
2023
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43. The long and the short of it: Mechanisms of synchronous and compensatory dynamics across temporal scales

Author

Shoemaker, Lauren G, Hallett, Lauren M, Zhao, Lei, Reuman, Daniel C, Wang, Shaopeng, Cottingham, Kathryn L, Hobbs, Richard J, Castorani, Max CN, Downing, Amy L, Dudney, Joan C, Fey, Samuel B, Gherardi, Laureano A, Lany, Nina, Portales‐Reyes, Cristina, Rypel, Andrew L, Sheppard, Lawrence W, Walter, Jonathan A, and Suding, Katharine N

Subjects
Ecosystem, Population Dynamics, community dynamics, compensatory dynamics, disturbance, environmental fluctuations, life history, metacommunity, stability, variance ratio, Ecological Applications, Ecology, Evolutionary Biology
Abstract

Synchronous dynamics (fluctuations that occur in unison) are universal phenomena with widespread implications for ecological stability. Synchronous dynamics can amplify the destabilizing effect of environmental variability on ecosystem functions such as productivity, whereas the inverse, compensatory dynamics, can stabilize function. Here we combine simulation and empirical analyses to elucidate mechanisms that underlie patterns of synchronous versus compensatory dynamics. In both simulated and empirical communities, we show that synchronous and compensatory dynamics are not mutually exclusive but instead can vary by timescale. Our simulations identify multiple mechanisms that can generate timescale-specific patterns, including different environmental drivers, diverse life histories, dispersal, and non-stationary dynamics. We find that traditional metrics for quantifying synchronous dynamics are often biased toward long-term drivers and may miss the importance of short-term drivers. Our findings indicate key mechanisms to consider when assessing synchronous versus compensatory dynamics and our approach provides a pathway for disentangling these dynamics in natural systems.

Published
2022

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