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Xinhua Zhou,Liang Wang,Wei Xiao,Zhiyang Su,Chengyou Zheng,Zaijun Zhang,Yu Qiang Wang,Benhong Xu,Xifei Yang,Maggie Pui Man Hoi 한국뇌신경과학회 2019 Experimental Neurobiology Vol.28 No.3
Memantine is a non-competitive N-methyl-D-aspartate receptor (NMDAR) antagonist clinically approved for moderate-to-severe Alzheimer’s disease (AD) to improve cognitive functions. There is no report about the proteomic alterations induced by memantine in AD mouse model yet. In this study, we investigated the protein profiles in the hippocampus and the cerebral cortex of AD-related transgenic mouse model (3×Tg-AD) treated with memantine. Mice (8-month) were treated with memantine (5 mg/kg/bid) for 4 months followed by behavioral and molecular evaluation. Using step-down passive avoidance (SDA) test, novel object recognition (NOR) test and Morris water maze (MWM) test, it was observed that memantine significantly improved learning and memory retention in 3xTg-AD mice. By using quantitative proteomic analysis, 3301 and 3140 proteins in the hippocampus and the cerebral cortex respectively were identified to be associated with AD abnormalities. In the hippocampus, memantine significantly altered the expression levels of 233 proteins, among which PCNT, ATAXIN2, TNIK, and NOL3 were up-regulated, and FLNA, MARK 2 and BRAF were down-regulated. In the cerebral cortex, memantine significantly altered the expression levels of 342 proteins, among which PCNT, PMPCB, CRK, and MBP were up-regulated, and DNM2, BRAF, TAGLN 2 and FRY1 were down-regulated. Further analysis with bioinformatics showed that memantine modulated biological pathways associated with cytoskeleton and ErbB signaling in the hippocampus, and modulated biological pathways associated with axon guidance, ribosome, cytoskeleton, calcium and MAPK signaling in the cerebral cortex. Our data indicate that memantine induces higher levels of proteomic alterations in the cerebral cortex than in the hippocampus, suggesting memantine affects various brain regions in different manners. Our study provides a novel view on the complexity of protein responses induced by memantine in the brain of AD.
Neuro-fuzzy based approach for estimation of concrete compressive strength
Xinhua Xue,Hongwei Zhou 사단법인 한국계산역학회 2018 Computers and Concrete, An International Journal Vol.21 No.6
Compressive strength is one of the most important engineering properties of concrete, and testing of the compressive strength of concrete specimens is often costly and time consuming. In order to provide the time for concrete form removal, re-shoring to slab, project scheduling and quality control, it is necessary to predict the concrete strength based upon the early strength data. However, concrete compressive strength is affected by many factors, such as quality of raw materials, water cement ratio, ratio of fine aggregate to coarse aggregate, age of concrete, compaction of concrete, temperature, relative humidity and curing of concrete. The concrete compressive strength is a quite nonlinear function that changes depend on the materials used in the concrete and the time. This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of concrete compressive strength. The training of fuzzy system was performed by a hybrid method of gradient descent method and least squares algorithm, and the subtractive clustering algorithm (SCA) was utilized for optimizing the number of fuzzy rules. Experimental data on concrete compressive strength in the literature were used to validate and evaluate the performance of the proposed ANFIS model. Further, predictions from three models (the back propagation neural network model, the statistics model, and the ANFIS model) were compared with the experimental data. The results show that the proposed ANFIS model is a feasible, efficient, and accurate tool for predicting the concrete compressive strength.
Dai Xiuchun,Chen Long,Zhou Hongjun,Zhou Xinhua 한국응용곤충학회 2022 Journal of Asia-Pacific Entomology Vol.25 No.2
Nanopesticides represent one of the effective ways of reducing the use of pesticides and the environmental pollution. Natural zein as a potential carrier for nanoencapsulation of pesticides has the disadvantages of large amount of organic solvents and poor dispersibility. In this study, a water soluble of zein peptides was obtained by hydrolyzed under alkaline conditions with heated and stability of nanopesticides were prepared through crosslinked after self-assemble. As the results, the zein peptides spontaneously assembled into spherical particles in an aqueous solution, the nanopesticides (avermectin, AVM), with uniform size distribution and size can be adjusted by the glutaraldehyde, have a great stability, and redispersed in water after freeze-drying. Moreover, nanoencapsulation protects avermectin from UV light, with 24% of the encapsulated AVM remaining intact after exposure to UV for 60 min, compared to less than 6% for the bare AVM. In addition, the nanoformulation had similar insecticidal activity to commercial EC and the cross-linking of particles slowed down the release rate and the curves were consistent with Higuchi model different from the abnormal diffusion in the uncross linked state. In short, this study provides a simple method to obtain stabilizable nanopesticides based on natural polymer on a green way.
Shuai Huang,Xiumin Xie,Qiang Xu,Xinhua Zhao,Guangwei Deng,Qiang Zhou,You Wang,Hai-Zhi Song 한국광학회 2020 Current Optics and Photonics Vol.4 No.6
A practical single photon source for fiber-based quantum information processing is still lacking. As a possible 1.55-µm quantum-dot single photon source, an InGaAsP/InP-air-aperture micropillar cavity is investigated in terms of fabrication tolerance. By properly modeling the processing uncertainty in layer thickness, layer diameter, surface roughness and the cavity shape distortion, the fabrication imperfection effects on the cavity quality are simulated using a finite-difference time-domain method. It turns out that, the cavity quality is not significantly changing with the processing precision, indicating the robustness against the imperfection of the fabrication processing. Under thickness error of ±2 nm, diameter uncertainty of ±2%, surface roughness of ±2.5 nm, and sidewall inclination of 0.5°, which are all readily available in current material and device fabrication techniques, the cavity quality remains good enough to form highly efficient and coherent 1.55-µm single photon sources. It is thus implied that a quantum dot contained InGaAsP/InP-air-aperture micropillar cavity is prospectively a practical candidate for single photon sources applied in a fiber-based quantum information network.
Renxin Xu,Huan Yang,Huajun Sun,Jing Zhou,Zhijun Yue,Xinhua Gao 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.2
Mg0.2Mn0.8YxFe2-xO4 (x = 0.000, 0.025, 0.050 and 0.075) nanocrystalline is synthesized via hydrothermal technique. Single cubic spinel phase is confirmed by XRD and the formation of Mg0.2Mn0.8YxFe2-xO4 is verified by EDS. The average size of the nanoferrites is around 80 nm, which is examined by TEM image. Y3+ substituted Mg-Mn nanoferrites exhibit low saturation magnetization (Ms) and coercivity (Hc). Especially, the nanoferrites with x = 0.075 show the lowest Ms and Hc of 46.96 emu/g and 12.04 Oe, respectively. The ferrite composites present that the resistivity and the magnetic loss are less than 4.5 x 10 7 Ω · cm and 0.7 in the range of 2–18 GHz, respectively. The low coercivity and high resistivity indicate that the addition of Y3+ contributes to the synthesis of the excellent soft magnetic materials.