Shiqi Ge

DDGCL: Dual Diffusion-based Graph Contrastive Learning for Recommendation

Shiqi Ge, Shunmei Meng, Xiaoxiao Chi, Lianyong Qi et autres

Contrastive learning has emerged as a promising paradigm by inherently generating self-supervised signals and uncovering latent patterns from interaction data to enhance recommendation performance. However, most current graph contrastive learning-based recommendation methods rely on random augmentation strategies,which may disrupt graph structural information …

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Analysing fungal microbiome differences between the roots of healthy and diseased Chinese hickory (Carya cathayensis) trees

Shengrong Su, Genshan Li, Shiqi Ge, Hong‐Hui Wang et autres

Chinese hickory (Carya cathayensis), an important economic nut species in China, has recently suffered significant losses due to root rot. Previous 16S rRNA amplicon sequencing suggested that the bacterial dysbiosis may contribute to root rot, but the specific pathogens remained unclear. In …

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Mechanisms of Acetaldehyde-Induced Organ Injury via Impairment of Vascular Endothelial Cells

Ming-Zhang Xie, Jiaqi Dong, Chun Guo, Shiqi Ge et autres

Abstract: Acetaldehyde, a metabolite of alcohol, accumulates in the body through excessive alcohol consumption. This accumulation triggers a range of vascular endothelial cell damage, including changes of signaling pathways, and ultimately results in organ and tissue damage. In this review, we highlight …

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LLMGCL: Graph Contrastive Learning with Large Language Models for Recommendation

Shiqi Ge, Shunmei Meng, Jielong Zhou, Lianyong Qi et autres

Contrastive Learning (CL) has recently achieved significant progress in the field of recommender systems, as it leverages supervision signals from raw data to mitigate the issue of data sparsity. However, most existing methods rely on random or heuristic data augmentation strategies, which …

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Phase Filtering Method Based on Fringe Phase Compensation Using Multi-Frequency Data

Shuo Li, Aifang Liu, Shiqi Ge, Long Huang

In this paper, a novel non-local filtering method based on fringe compensation using multi-frequency data is proposed. Firstly, the low-frequency phase is unwrapped and converted to reference frequency according to the frequency ratio to estimate the basic phase of the fundamental terrain, …

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GFN: A novel joint entity and relation extraction model with redundancy and denoising strategies

Xin Sun, Qiyi Guo, Shiqi Ge

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110–170 GHz Bandpass Filter with Steep Rejection Slope Based on Symmetrical H-plane Cavities

Shu Jiang, Yi Song, Huijun Yang, Hengfei Xu et autres

A 110–170 GHz bandpass filter (BPF) is presented with sharp roll-off slope in the stopband. To improve the suppression level in the stopband at unwanted frequencies close to the passband, a symmetrical type of H-plane cavity is designed and applied to the …

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Altimetry Accuracy Analysis of Sliding Spotlight Mode Interferometric SAR

Weitao Wang, Shiqi Ge, Aifang Liu, Long Huang et autres

Multi-modal interference based on sliding spotlight mode, TOPS mode, etc. is an important development direction for InSAR systems in the next step. In the spaceborne sliding spotlight mode, the altimetry accuracy will be affected from multiple aspects due to the beam scanning …

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A time-series analysis of short-term ambient ozone exposure and hospitalizations from acute myocardial infarction in Henan, China

Yulong Wei, Yongbin Wang, Min Zhang, Zhigang Chen et autres

Abstract Epidemiological studies in recent years have identified an association between exposure to air pollutants and acute myocardial infarction (AMI); however, the association between short-term ozone (O 3 ) exposure and AMI hospitalization remains unclear, particularly in developing countries. Therefore, this study …

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Digital Beamforming with Assistance of External DEM for Spaceborne High-Resolution Wide-Swath SAR

Shiqi Ge, Aifang Liu, Long Huang, Shuo Li

Future SAR missions may have a great demand for high-resolution wide-swath imaging. Digital beamforming with SCAN-ON-RECEIVE (SCORE) in elevation is a powerful technique, which is characterized by using a narrow and high gain receive beam to follow the echoes backscattered from the …

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Association between nitrogen dioxide concentration and hypertension hospitalization: A multicenter time-series analysis in Xinxiang, China

Shiqi Ge, Yongbin Wang, Fei Lin, Runran Miao et autres

Hypertension is a common chronic disease, and air pollution is strongly associated with hypertension hospitalization. However, the association between nitrogen dioxide (NO2)1 concentration and hypertension hospitalization has rarely been studied. We collected daily data on hypertension hospitalizations, air pollutants, and meteorology from …

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A time-series analysis of short-term ambient ozone exposure and hospitalizations from acute myocardial infarction in Henan, China

Yulong Wei, Yongbin Wang, Min Zhang, Zhigang Chen et autres

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