Zhe Zhu

Aug 20, 2024 | journalofcloudcomputing.springeropen.com | Zhen Zhang |Chen Xu |Jinyu Zhang |Zhe Zhu |Shaohua Xu

To address the challenge of load prediction in cloud computing environments, researchers have proposed various methods aimed at enhancing prediction accuracy to optimize resource allocation and improve system performance. Generally, these methods fall into three categories: statistical learning, RNNs, and Transformers. In response to the highly variable cloud loads, Gupta et al. [26] proposed an online adaptive method for predicting cloud resource usage time series.

Aug 6, 2024 | biorxiv.org | Yiluan Song |Daniel Katz |Zhe Zhu |Claudie Beaulieu

AbstractAirborne pollen triggers allergic reactions which result in public health consequences. A better understanding of flowering and pollen phenology could improve airborne pollen predictions and reduce pollen exposure. Data on the timing of flowering and pollen release are needed to improve models of airborne pollen concentrations, but existing in-situ data collection efforts are expensive and spatially sparse.

Mar 29, 2024 | nature.com | Zhe Zhu

AbstractAnti-programmed cell death 1 (aPD1) therapy has yielded limited success in patients with colorectal cancer (CRC). Syndecan binding protein (SDCBP), encodes a PDZ domain-containing protein that is essential for cellular processes, including cell adhesion, migration, and signal transduction. Here, we investigated the effect of SDCBP on tumor progression, immunotherapy, and the tumor microenvironment (TME) in CRC.

Apr 21, 2023 | mdpi.com | Zhe Zhu |Meiyu Fang

Open AccessArticlebyMeiyu Fang 1,*,† and Zhe Zhu 2,† 1School of International Business, Zhejiang International Studies University, Hangzhou 310023, China2School of Economics, Zhejiang University of Technology, Hangzhou 310023, China*Author to whom correspondence should be addressed. †These authors contributed equally to this work.

Apr 3, 2023 | mdpi.com | Zhe Zhu |Lizhi Zhang

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