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467 results on '"Zhu, Haixia"'

36. Yigevisual Communication Design for Stage Decoration of Digital Media in the Context of Big Data

Author

Wu, Yuelin, Zhu, Haixia, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Xu, Zheng, editor, Parizi, Reza M., editor, Hammoudeh, Mohammad, editor, and Loyola-González, Octavio, editor

Published
2020
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38. Optimizing thermoelectric performances of low-temperature SnSe compounds by electronic structure design

Author

Hong, Aijun, Li, Lin, Zhu, Haixia, Yan, Zhibo, Liu, Junming, and Ren, Zhifeng

Subjects
Condensed Matter - Materials Science
Abstract

Recently SnSe compound was reported to have a peak thermoelectric figure-5 of-merit (ZT) of 2.62 at 923 K, but the ZT values at temperatures below 750 K are relatively low. In this work, the electronic structures of SnSe are calculated using the density functional theory, and the electro- and thermo-transport properties upon varying chemical potential (or carrier density) are evaluated by the semi-classic Boltzmann transport theory, showing that the calculated ZT values along the a10 and c-axes below 675 K are in agreement with reported values, but that along the b-axis can be as high as 2.57 by optimizing the carrier concentration to ~3.6*1019 cm-3. It is revealed that a mixed ionic-covalent bonding and heavy-light band overlapping near the valence band are the reasons for the higher thermoelectric performance, Comment: 10 pages, 6 figures

Published
2015

41. Common immunological and prognostic features of lung and bladder cancer via smoking‐related genes: PRR11 gene as potential immunotherapeutic target.

Author

Wang, YaXuan, Zhu, HaiXia, Zhang, Lu, He, JiaXing, Bo, Ji, Wang, JianShe, Ding, BeiChen, and Ren, MingHua

Subjects
BLADDER cancer, LUNG cancer, NON-small-cell lung carcinoma, IMMUNE checkpoint proteins, TRANSITIONAL cell carcinoma, GENES
Abstract

Smoking is a well‐known risk factor for non‐small‐cell lung cancer (NSCLC) and bladder urothelial carcinoma (BLCA). Despite this, there has been no investigation into a prognostic marker based on smoking‐related genes that could universally predict prognosis in these cancers and correlate with immune checkpoint therapy. This study aimed to identify smoking‐related differential genes in NSCLC and BLCA, analyse their roles in patient prognosis and immune checkpoint therapy through subgroup analyses, and shed light on PRR11 as a crucial prognostic gene in both cancers. By examining PRR11 co‐expressed genes, a prognostic model was constructed and its impact on immunotherapy for NSCLC and BLCA was evaluated. Molecular docking and tissue microarray analyses were conducted to explore the correlation between PRR11 and its reciprocal gene SPDL1. Additionally, miRNAs associated with PRR11 were analysed. The study confirmed a strong link between smoking‐related genes, prognosis, and immune checkpoint therapy in NSCLC and BLCA. PRR11 was identified as a key smoking‐associated gene that influences the efficacy of immune checkpoint therapy by modulating the stemness of these cancers. A prognostic model based on PRR11 co‐expressed genes in BLCA was established and its prognostic value was validated in NSCLC. Furthermore, it was found that PRR11 regulates PDL1 via SPDL1, impacting immunotherapeutic efficacy in both cancers. The involvement of hsa‐miR‐200b‐3p in the regulation of SPDL1 expression by PRR11 was also highlighted. Overall, the study elucidates that PRR11 modulates patient immunotherapy by influencing PDL1 expression through its interaction with SPDL1, with potential upstream regulation by hsa‐miR‐200b‐3p. [ABSTRACT FROM AUTHOR]

Published
2024
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42. Metagenomic next-generation sequencing of cell-free DNA for the identification of viruses causing central nervous system infections

Author

Lu, Yuying, primary, Zhang, Ye, additional, Lou, Zheng, additional, He, Xiaomin, additional, Zhang, Qinghua, additional, Zhang, Qingxia, additional, Zhao, Shu, additional, Chen, Han, additional, Zhu, Haixia, additional, Song, Zhi, additional, Zhang, Ruxu, additional, Ma, Caiyu, additional, and Liu, Ding, additional

Published
2023
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