Ting Luo

A CROSS-SECTIONAL SURVEY ON THE CURRENT STATUS OF THE RURAL DOCTOR WORKFORCE IN YUXI CITY, YUNNAN PROVINCE

Lei Yang, ShuQing Yuan, E Diao, ChuanZhi Xu et autres

Objective: This study aims to fully understand the basic status of rural doctors in Yuxi City, Yunnan Province, systematically evaluate their workforce quantity, demographic structure and service capacity, deeply analyze the major problems and restrictive factors hindering the construction of the rural …

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TIIS: Transformer-based invertible neural network for image steganography

JinXian Zhang, Zuowen Jiang, Yuhang Zhou, Zhouyan He et autres

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An Evaluation Method for Influential Nodes Based on Multi-Attribute Neighbor Contributions in Complex Networks

Na Zhao, Chao Dai, Guolin Yang, Ting Luo et autres

Accurately identifying influential nodes is essential for analyzing network structures and optimizing information propagation. Existing methods predominantly rely on single indicators such as degree, H-index, or k-shell, inherently limiting their ability to capture a node's true influence. Recent hybrid centrality approaches attempt …

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Psoriasis as a spatial immune ecosystem: insights from single-cell and spatial transcriptomics

Wenkang Cheng, Ting Luo, Xiaoyu Zhou, Haixia Jing

Psoriasis is a chronic systemic inflammatory skin disease marked by substantial heterogeneity in both clinical presentation and immunopathology. Bulk RNA sequencing has been instrumental in establishing the IL-23/IL-17 axis as a central pathogenic framework, but tissue-averaged signals may obscure the cell-state heterogeneity …

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DehazePhys-NeRF: Neural Radiance Fields for Dehazing With Physical Priors

Xinxiao Fu, Haiyong Xu, Gangyi Jiang, Mei Yu et autres

Neural Radiance Fields (NeRFs) have achieved significant advancements in 3D scene reconstruction and novel view synthesis, with applications increasingly spanning both academic research and industrial practice. However, while NeRF excels under ideal conditions, challenges such as airlight scattering and attenuation complicate reconstruction …

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CDV-PCQA: Content-distortion-guided dynamic viewpoint quality assessment for 3D point clouds

Qihao Liang, Li Li, Ting Luo, Gangyi Jiang et autres

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Lightweight mamba-based spatial–spectral model for high-compression snapshot spectral compressive imaging

Zheyu Shi, Lishun Wang, Ting Luo, Miao Cao et autres

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Network analysis of distress, symptom burden, social support, and digital health literacy in older postoperative patients with gastric cancer

Ting Luo, Pei-rong Xu, Qi-xin Xiao, X S Chen et autres

Aim: To use network analysis to explore the relationships among distress, symptom burden, social support, and digital health literacy in older patients with gastric cancer following surgery. Background: Digital healthcare is gaining increasing prominence and represents a promising approach to improving long-term …

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Fine-grained weakly supervised video anomaly detection via gated temporal fusion and graph reasoning

Ting Luo, Qiang He, Hengyou Wang

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WaterDiff: Mamba-Based Latent Diffusion Model for Underwater Image Enhancement

Meisheng Guan, Haiyong Xu, Gangyi Jiang, Mei Yu et autres

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Digital health technologies for the management of sarcopenia in patients receiving maintenance hemodialysis: a narrative review

Ting Luo, Ping Wei, Huilan Wang, Yuzi Zhao et autres

Digital health technologies are increasingly being explored as supportive tools for managing sarcopenia in patients undergoing maintenance hemodialysis (MHD). Wearable devices, mobile health applications, telemedicine platforms, artificial intelligence, and virtual or augmented reality may support monitoring, patient engagement, and intervention delivery. However, …

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Explicit Spatial-Angular Pattern Embedding for Heterogeneous Imaging-Oriented Light Field Spatial Super-Resolution

Yeyao Chen, Chongchong Jin, Haiyong Xu, Ting Luo et autres

Light field (LF) imaging often faces a severe trade-off between spatial and angular resolution due to limited sensor capacity. Although various LF spatial super-resolution (SR) approaches have emerged, they often struggle with blurred textures and degraded parallax structures at large upscaling factors …

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