Wenxuan Zhu

Microstructure refinement in near-α/Ti2AlNb gradient transition zone by laser deposition-hot deformation hybrid manufacturing

Na Liu, Y.L. Liu, Zhanglong Zhao, Xiaohui Zha et autres

cn, hk (code pays fourni par la source)

Integrated mRNA-miRNA Analysis Reveals the Regulatory Network Under Salt–Alkali Stress in Alfalfa (Medicago sativa L.)

Mei Liu, Yanran Xu, Lijun Zhao, Haojie Yu et autres

Soil salinization and alkalinization critically constrain alfalfa (Medicago sativa L.) productivity, yet the regulatory mechanisms underlying its responses to salt–alkali stress are not fully understood. In this study, the alfalfa variety “Zhongmu No. 1” was used as experimental material. The seeds were …

cn (code pays fourni par la source)

Functional advancements in intravascular catheters: materials, sensors, actuators, and robot integration

Chuqiao Lyu, Qinghao Xu, Shoujie Li, Eric Yu Hai Chen et autres

The intravascular catheter is undergoing a fundamental transformation from a passive conduit to an intelligent, multifunctional medical device. Recent advancements in catheter materials include biocompatible polymers, lubricious coatings, and variable stiffness architectures, which have significantly enhanced mechanical performance and compatibility within the …

cn, hk (code pays fourni par la source)

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures

Yang Wang, Wenxuan Zhu, Xuehui Quan, Heyi Wang et autres

This paper addresses the challenges of fault prediction and delayed response in distributed systems by proposing an intelligent prediction method based on temporal feature learning. The method takes multi-dimensional performance metric sequences as input. We use a Gated Recurrent Unit (GRU) to …

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures

Yang Wang, Wenxuan Zhu, Xuehui Quan, Heyi Wang et autres

This paper addresses the challenges of fault prediction and delayed response in distributed systems by proposing an intelligent prediction method based on temporal feature learning. The method takes multi-dimensional performance metric sequences as input. We use a Gated Recurrent Unit (GRU) to …

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Rheological performance regulation and material optimization of manufactured sand concrete in 3D printing

Wenxuan Zhu, Chao Liu, Yu Zhang, Yunsheng Zhang et autres

cn (code pays fourni par la source)

Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks

Lu Dai, Wenxuan Zhu, Xuehui Quan, Ran Meng et autres

To improve the identification of potential anomaly patterns in complex user behavior, this paper proposes an anomaly detection method based on a deep mixture density network. The method constructs a Gaussian mixture model parameterized by a neural network, enabling conditional probability modeling …

Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks

Lu Dai, Wenxuan Zhu, Xuehui Quan, Ran Meng et autres

To improve the identification of potential anomaly patterns in complex user behavior, this paper proposes an anomaly detection method based on a deep mixture density network. The method constructs a Gaussian mixture model parameterized by a neural network, enabling conditional probability modeling …

us (code pays fourni par la source)

Dynamic response of hybrid foundation for jack-up platform on sandy seabed under horizontal cyclic loading

Yihan Chai, Qi Zhang, Bin Yan, Wenxuan Zhu et autres

cn, au (code pays fourni par la source)

[Verification of resveratrol ameliorating vascular endothelial damage in sepsis-associated encephalopathy through HIF-1α pathway based on network pharmacology and experiment].

Rong Li, Yue Wu, Wenxuan Zhu, Meng Qin et autres

This study aims to investigate the mechanism by which resveratrol(RES) alleviates cerebral vascular endothelial damage in sepsis-associated encephalopathy(SAE) through network pharmacology and animal experiments. By using network pharmacology, the study identified common targets and genes associated with RES and SAE and constructed …

cn (code pays fourni par la source)

Sensitivity Analysis and Application of the Shanghai Model in Ultra-Deep Excavation Engineering

Aoyun Ma, Weiyi Wang, Wenxuan Zhu, Zhonghua Xu et autres

In deep foundation pit engineering, the soil undergoes a complex stress path, encompassing both loading and unloading phases. The Shanghai model, an advanced constitutive model, effectively accounts for the soil’s deformation characteristics under these varied stress paths, which is essential for accurately …

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Parameters Sensitivity and Identification in the Shanghai Model: A Numerical Analysis for Deep Excavation

Changjian Zhou, Bin Yan, Weidong Wang, Zhonghua Xu et autres

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