Jiannan Chen

Cascading attrition of in vivo CAR-T therapy: From systemic delivery failure to functional collapse

Haipeng Rao, Shichu Xu, Jiannan Chen, Zhigang Guo

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Developmental and Neurobehavioral Toxicity of Tetrabromobisphenol A Mono(2-hydroxyethyl) Ether (TBBPA-MHEE) in Zebrafish Larvae: Oxidative/Inflammatory Responses and Candidate ErbB-Related Signaling

Yuhan Deng, Yuanzhang Zhao, Jiujiu Cao, Tianyu Chen et autres

Tetrabromobisphenol A mono(2-hydroxyethyl) ether (TBBPA-MHEE) is an important byproduct during the production of tetrabromobisphenol A (TBBPA) and its related derivatives. Although it has been detected in aquatic environments, its in vivo developmental toxicity and underlying mechanisms remain poorly understood. In this study, …

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Practical prescribed time control for tracked mobile robots with coupled actuator failure

Dianrui Mu, Changchun Hua, Jiannan Chen, Yu Zhang et autres

This paper considers the practical prescribed time (PPT) trajectory tracking problem for tracked mobile robots (TMRs) with time-varying actuator failures in off-road scenarios. A new system model, which is suitable for TMRs under time-varying actuator failures and uneven road surfaces, is established. …

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Adaptive Task-Space Control for Hydraulic Excavators Based on the High-Order Fully Actuated System Approach

Bo Zhang, Changchun Hua, Jiafeng Zhou, Jiannan Chen et autres

This article proposes a novel control framework for hydraulic excavators based on a high-order fully actuated (HOFA) system approach. First, a comprehensive HOFA model is established, which describes the excavator dynamics in task space, joint space, and drive space. The proposed control …

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Monotone quantities on $3$-manifolds with nonnegative scalar curvature

Jiannan Chen, Haiping Fu

In this paper, we derive monotone quantities for harmonic functions on asymptotically flat 3-manifolds with simple topology and nonnegative scalar curvature. These monotone quantities are constant on spatial Schwarzschild manifolds outside rotationally symmetric spheres. To derive monotone quantities, our method is different …

Monotone quantities on $3$-manifolds with nonnegative scalar curvature

Jiannan Chen, Haiping Fu

In this paper, we derive monotone quantities for harmonic functions on asymptotically flat 3-manifolds with simple topology and nonnegative scalar curvature. These monotone quantities are constant on spatial Schwarzschild manifolds outside rotationally symmetric spheres. To derive monotone quantities, our method is different …

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In vivo generation of CAR-T cells: Current obstacles, strategic solutions, and clinical translation

Ziyu Jiang, Shichu Xu, Weiwei Li, Jiannan Chen et autres

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Next-Generation CAR-T Therapies: From Personalized Anticancer Drugs to Broadly Applicable Disease-Modifying Treatments

Mengru Wen, Jiayi Li, Shichu Xu, Wenying Li et autres

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Low-Complexity Tracking Control for Differential-Drive Mobile Robots With Current Sensorless Electric Motors

Dianrui Mu, Changchun Hua, Pengju Ning, Jiannan Chen et autres

This article addresses the problem of prescribed performance tracking control for uncertain differential-drive mobile robots equipped with current sensorless electric motors. An improved line-of-sight distance control method with a desired heading angle switching strategy is proposed, which eliminates the singularity problem encountered …

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Variance-Adaptive Distributional Diffusion Policy Optimization for Robust Legged Robot Locomotion

Hainan Zhang, Changchun Hua, Jiannan Chen, Xi Luo et autres

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Development of a replication-defective mpox virus platform for fundamental and therapeutic research

Jiannan Chen, Liyuan Hu, Riccardo Vernuccio, Ning Shi et autres

The recent global outbreaks of mpox highlight the urgent need for both fundamental research and antiviral development. However, studying the mpox virus (MPXV), with its large and complex genome, remains challenging due to the requirement for high-containment facilities. Here, we describe a …

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Improving Generalization in Federated Learning for Steady-State Visual Evoked Potential Classification and Its Application in Soft Gripper

Rao Wei, Changchun Hua, Jiannan Chen, Dianrui Mu et autres

Conventional cross-subject electroencephalogram (EEG) signal identification frameworks require centralized aggregation of all subjects' data for feature extraction, which inherently poses substantial risks of data privacy breaches. In response to this critical issue, the present study delves into the classification of steady-state visual …

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