Dan Niu

Intermedin mitigates chronic intermittent hypoxia–induced metabolic reprogramming in tubular epithelial cells and attenuates consequent kidney fibrosis through an AMPK-dependent suppression of HIF-1α

Ge Yuan, Juan Pan, Yanan Li, Keyu Zhang et autres

Obstructive sleep apnea-hypopnea syndrome (OSAHS) is an independent driver of chronic kidney disease (CKD). Its hallmark-chronic intermittent hypoxia (CIH)-induces oxidative stress, ultimately leading to kidney fibrosis. AMP-activated protein kinase (AMPK)-dependent suppression of hypoxia-inducible factor-1α (HIF-1α) regulates tubular epithelial cell (TEC) metabolic reprogramming …

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Predicting Indwelling Catheter Duration in Spinal Cord Injury Patients With Neurogenic Bladder Using Machine Learning

Jiqiang Xie, Huilin Liu, Yixing Lu, Xinyu Liu et autres

OBJECTIVE: To develop and validate interpretable machine learning (ML) survival models for predicting indwelling catheter time (ICT) in early-stage spinal cord injury (SCI) patients with neurogenic bladder (NB), identify key early predictors, and derive a practical prognostic stratification tool. METHODS: We retrospectively …

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Potential targets and molecular mechanisms of D-pinitol against acute kidney injury based on network pharmacology and experimental validation

Yilin Ren, Yuan Ge, Keyu Zhang, Hui Lin et autres

Acute kidney injury (AKI) is a severe clinical syndrome, with ischemia/reperfusion (I/R) being one of its most common causes. Although D‑pinitol (DP), an inositol‑like bioactive molecule, is known to confer renal protection, its efficacy against I/R‑induced AKI remains unknown. A mouse kidney …

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Data-Physics Hybrid MPC for Disturbed Underactuated Crane: Design and Experiments

Linxuan Mao, Jia Chen, Haitao Zhang, Zheng Tian et autres

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MinFill: Reinforcement Learning and GNN Guided Reordering for Fill-In Reduction in RF Circuit Matrices

H Z Zhang, Dan Niu, Cheng Zhuo, Zhou Jin

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Blind Recognition of Channel Coding Types Based on the CTN Model

Shoupeng Zhu, Laiding Zhao, Dan Niu

This paper addresses the issues of high data demands and coarse recognition granularity in blind channel coding recognition for non-cooperative communications. A hybrid model, CTN, is proposed, which integrates CNN with the self-attention mechanism of Transformers.The model uses CNNs to extract local …

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A Novel Antenna Tracking Method for LEO Satellites Using Bstar Coefficient Dynamic Calibration

Laiding Zhao, Dan Niu, Qian Xu, Chen Ye et autres

Low Earth Orbit (LEO) satellite communication offers distinct advantages, with precise orbit prediction serving as the foundational requirement for achieving autonomous antenna tracking in these systems. A comparative analysis of the Systems Tool Kit (STK) software and the Simplified General Perturbations 4 …

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A Geometry-Material Aware Point Cloud Transformer for Large-scale Unstructured Thermal Analysis in 2.5D ICs

Dekang Zhang, Dan Niu, Yichao Cao, Yichao Dong et autres

Thermal management in large-scale unstructured 2.5D ICs faces the challenges due to the integration of complex geometries and heterogeneous materials. Existing deep learning (DL) methods urgently require a memory-efficient and high-fidelity unstructured representation method for multiscale complex ICs to simultaneously model macroscopic …

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N-self-doped coffee grounds-derived porous carbon for lightweight and high-performance microwave absorption

Jiayi Li, Zhihong Wu, Yifan Xu, Wenjing Wang et autres

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In-situ construction of octahedral Fe3O4/shiitake mushroom-derived carbon composites via a directed ferric anchoring strategy for enhanced microwave absorption performance

Zhihong Wu, Jiayi Li, Yifan Xu, Wenjing Wang et autres

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Toxic Effects of Vanillic Acid and Sinapic Acid on Spodoptera frugiperda

Yanan Deng, Jinyan Lv, Xiaorong Liu, Dan Niu et autres

The tolerance of the fall armyworm (Spodoptera frugiperda) to plant-derived secondary compounds gradually increases with instars. Therefore, even if plant-based additives are applied at early stages, such as the second or third instar, they may have a differential impact on the ecofriendly …

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Research on Optimal Scheduling of Material Loading and Stacking

Jiaying Li, Dan Niu, Junfeng He, Qi Li

Due to constraints such as the layout of the workshop and the loading rhythm in the cold rolling warehouse area of the steel plant, conflicts in driving paths often arise, preventing efficient loading and stacking. To optimize traffic scheduling and stacking in …

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