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        Schisantherin B Improves the Pathological Manifestations of Mice Caused by Behavior Desperation in Different Ages-Depression with Cognitive Impairment

        Mengjie Xu,Feng Xiao,Mengshi Wang,Tingxu Yan,Huilin Yang,Bo Wu,Kaishun Bi,Ying Jia 한국응용약물학회 2019 Biomolecules & Therapeutics(구 응용약물학회지) Vol.27 No.2

        Depression is a major mood disorder. Abnormal expression of glial glutamate transporter-1 (GLT-1) is associated with depression. Schisantherin B (STB) is one bioactive of lignans isolated from Schisandra chinensis (Turcz.) Baill which has been commonly used as a traditional herbal medicine for thousands of years. This paper was designed to investigate the effects of STB on depressive mice induced by forced swimming test (FST). Additionally, we also assessed the impairment of FST on cognitive function in mice with different ages. FST and open field test (OFT) were used for assessing depressive symptoms, and Y-maze was used for evaluating cognition processes. Our study showed that STB acting as an antidepressant, which increased GLT-1 levels by promoting PI3K/AKT/mTOR pathway. Although the damage is reversible, short-term learning and memory impairment caused by FST test is more serious in the aged mice, and STB also exerts cognition improvement ability in the meanwhile. Our findings suggested that STB might be a promising therapeutic agent of depression by regulating the GLT-1 restoration as well as activating PI3K/AKT/mTOR pathway.

      • A Progressive Region-Focused Network for Fine-Grained Human Behavior Recognition

        Feng Jiangfan,Gou Mengjie 한국컴퓨터산업협회 2023 Human-centric Computing and Information Sciences Vol.13 No.-

        Establishing fine-grained human behavior recognition is crucial in human-centric applications. Although modeling human behaviors and activity patterns for recognition or detection has attracted significant research interest recently, implementing fine-grained behavior detection remains challenging. Here, we propose a progressive region-focused network (PRF-Net), a unified framework that interrelates region detection and fine-grained feature learning, implemented by two components working in tandem. To learn a good representation that contains more detailed information for better fine-grained recognition, we propose a progressive attention training strategy that learns discriminative region attention and fosters inherent complementary properties with different lead levels. The second principle is to make the model more specialized to the problem. We introduce a region-focused image generator to locate more discriminative local regions, providing a priori knowledge for the next layer. Experiments show that the developed model achieves state-of-the-art performance on two public action recognition benchmark datasets, with an accuracy of 89.57%–94.50% for PPMI-24 and 60.20%–63.36% for DAR-4. Notably, our approach surpasses some models by using auxiliary information and providing another avenue for practical applications. This remarkable learning ability makes the proposed method readily applicable to fine-grained human behavior recognition, making it valuable for human-centric applications, such as surveillance analysis and human-computer interactions.

      • KCI등재

        Wrinkled rGO Sheets-Wrapped Carbon Fibers with High Tensile Strength and Excellent Electrochemical Stability as Anodes for Structural Li-Ion Battery

        Huagen Li,Shubin Wang,Mengjie Feng,Jiping Yang,Boming Zhang 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2018 NANO Vol.13 No.08

        Herein, we report a hierarchical structure formed by wrinkled reduced graphene oxide (rGO) sheets-wrapped carbon fiber via a facile and efficient electrostatic self-assembly method and subsequent annealing treatment. For this material, the Weibull scale parameter is 4.77 GPa. After 100 cycles, the rGO@CF retains 91% of its second charge capacity at 50mA· g -1, corresponding to a capacity fading of only 0.09% per cycle. Thus, this structural anode material exhibits enhanced capacity, high initial Coulombic efficiency and high tensile strength. Meanwhile, the carbon fiber and interweaved rGO sheets together form the whole conductive networks to provide multichannel highways for charge transfer (lithium-ion diffusion and electron transport) during discharge–charge processes, promising excellent electrochemical performance of this structural anode material.

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