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140 results on '"Pan, Zhenxiang"'

8. Customer Satisfaction Evaluation Method Based on Fuzzy Hierarchy Analysis

Author

Li, Xiangna, Xu, Fang, Yuan, Zhaojun, Pan, Zhenxiang, Ma, Bin, Lv, Feifei, Zhang, Tao, Li, Kan, Editor-in-Chief, Li, Qingyong, Associate Editor, Fournier-Viger, Philippe, Series Editor, Hong, Wei-Chiang, Series Editor, Liang, Xun, Series Editor, Wang, Long, Series Editor, Xu, Xuesong, Series Editor, Yen, Jerome, editor, Abedin, Mohammad Zoynul, editor, and Wan Ngah, Wan Azman Saini Bin, editor

Published
2023
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28. Recent Research Advances in Nano-Based Drug Delivery Systems for Local Anesthetics

Author

Ma,He, Pan,Zhenxiang, Lai,Bingjie, Zan,Chunfang, Liu,He, Ma,He, Pan,Zhenxiang, Lai,Bingjie, Zan,Chunfang, and Liu,He

Abstract

He Ma,1 Zhenxiang Pan,1 Bingjie Lai,2 Chunfang Zan,3,4 He Liu5 1Department of Anesthesiology, The Second Hospital of Jilin University, Changchun, People’s Republic of China; 2Department of Intensive Care Unit, The Second Hospital of Jilin University, Changchun, People’s Republic of China; 3Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China; 4Collaborative Innovation Center for Molecular Imaging of Precision Medicine, Shanxi Medical University, Taiyuan, People’s Republic of China; 5Department of Orthopedics, The Second Hospital of Jilin University, Changchun, People’s Republic of ChinaCorrespondence: He Liu, Department of Orthopedics, The Second Hospital of Jilin University, Changchun, 130041, People’s Republic of China, Email heliu@jlu.edu.cnAbstract: From a clinical perspective, local anesthetics have rather widespread application in regional blockade for surgery, postoperative analgesia, acute/chronic pain control, and even cancer treatments. However, a number of disadvantages are associated with traditional local anesthetic agents as well as routine drug delivery administration ways, such as neurotoxicity, short half-time, and non-sustained release, thereby limiting their application in clinical practice. Successful characterization of drug delivery systems (DDSs) for individual local anesthetic agents can support to achieve more efficient drug release and prolonged duration of action with reduced systemic toxicity. Different types of DDSs involving various carriers have been examined, including micromaterials, nanomaterials, and cyclodextrin. Among them, nanotechnology-based delivery approaches have significantly developed in the last decade due to the low systemic toxicity and the greater efficacy of non-conventional local anesthetics. Multiple nanosized materials, including polymeric, lipid (solid lipid nanoparticles, nanostructured lipid carriers, and nanoemulsions), metallic, inorganic

Published
2023

30. FRDet: Few‐shot object detection via feature reconstruction.

Author

Chen, Zhihao, Mao, Yingchi, Qian, Yong, Pan, Zhenxiang, and Xu, Shufang

Subjects
RAILROAD trains, DETECTORS
Abstract

State‐of‐the‐art object detection models rely on large‐scale datasets for training to achieve good precision. Without sufficient samples, the model can suffer from severe overfitting. Current explorations in few‐shot object detection are mainly divided into meta‐learning‐based methods and fine‐tuning‐based methods. However, existing models do not focus on how feature maps should be processed to present more accurate regions of interest (RoIs), leading to many non‐supporting RoIs. These non‐supporting RoIs can increase the burden of subsequent classification and even lead to misclassification. Additionally, catastrophic forgetting is inevitable in both few‐shot object detection models. Many models classify directly in low‐dimensional spaces due to insufficient resources, but this transformation of the data space can confuse some categories and lead to misclassification. To address these problems, the Feature Reconstruction Detector (FRDet) is proposed, a simple yet effective fine‐tune‐based approach for few‐shot object detection. FRDet includes a region proposal network (RPN) based on channel attention and space attention called Multi‐Attention RPN (MARPN) and a head based on feature reconstruction called Feature Reconstruction Head (FRHead). MARPN utilizes channel attention to suppress non‐supporting classes and spatial attention to enhance support classes based on Attention RPN, resulting in fewer but more accurate RoIs. Meanwhile, FRHead utilizes support features to reconstruct query RoI features through a closed‐form solution, allowing for a comprehensive and fine‐grained comparison. The model was validated on the PASCAL VOC, MS COCO, FSOD, and CUB200 datasets and achieved better results. [ABSTRACT FROM AUTHOR]

Published
2023
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49. The Role of Neural Plasticity in Depression: From Hippocampus to Prefrontal Cortex

Author

Liu, Wei, Ge, Tongtong, Leng, Yashu, Pan, Zhenxiang, Fan, Jie, Yang, Wei, and Cui, Ranji

Subjects
Article Subject
Abstract

Neural plasticity, a fundamental mechanism of neuronal adaptation, is disrupted in depression. The changes in neural plasticity induced by stress and other negative stimuli play a significant role in the onset and development of depression. Antidepressant treatments have also been found to exert their antidepressant effects through regulatory effects on neural plasticity. However, the detailed mechanisms of neural plasticity in depression still remain unclear. Therefore, in this review, we summarize the recent literature to elaborate the possible mechanistic role of neural plasticity in depression. Taken together, these findings may pave the way for future progress in neural plasticity studies.

Published
2017
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