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| 1 | Humanin attenuates Alzheimer-like cognitive deficits and pathological changes induced by amyloid β-peptide in rats显示文摘Amyloid β-peptide(Aβ) has been implicated as a key molecule in the neurodegenerative cascades of Alzheimer 's disease(AD). Humanin(HN) is a secretory peptide that inhibits the neurotoxicity of Aβ. However, the mechanism(s) by which HN exerts its neuroprotection against Aβ-induced ADlike pathological changes and memory deficits are yet to be completely defined. In the present study,we provided evidence that treatment of rats with HN increases the number of dendritic branches and the density of dendritic spines, and upregulates pre- and post-synaptic protein levels; these effects lead to enhanced long-term potentiation and amelioration of the memory deficits induced by Aβ1-42. HN also attenuated Aβ1-42-induced tau hyperphosphorylation,apparently by inhibiting the phosphorylation of Tyr307 on the inhibitory protein phosphatase-2A(PP2A)catalytic subunit and thereby activating PP2 A. HN also inhibited apoptosis and reduced the oxidativestress induced by Aβ1-42. These findings provide novel mechanisms of action for the ability of HN to protect against Aβ1-42-induced AD-like pathological changes and memory deficits. | Gao-Shang Chai Dong-Xiao Duan Rong-Hong Ma Jian-Ying Shen Hong-Lian Li Zhi-Wei Ma Yu Luo Lu Wang Xin-Hua Qi Qun Wang Jian-Zhi Wang Zelan Wei Darrell D.Mousseau Li Wang Gongping Liu | 2014 | Neuroscience Bulletin2014，30，6： | 7 |
| 2 | Phytotoxicity assessment of phenanthrene, pyrene and their mixtures by a soil-based seedling emergence test显示文摘Seedling emergence tests were conducted in a meadow brown soil using five plant species(i.e., Chinese cabbage, green onion, tomato, turnip and wheat) to determine the phytotoxicity of phenanthrene, pyrene and their mixtures. The soil was amended with up to 1000 mg/kg soil of phenanthrene or 600 mg/kg soil of pyrene. Seedling emergence and root growth were measured. The results indicated that root elongation was more sensitive than seedling emergence. Root length decreased with increasing phenanthrene or pyrene concentrations(p≤0 05). Phenanthrene was more phytotoxic than pyrene. The lowest observable adverse effect concentration(LOAEC) was 10 mg/kg for phenanthrene when tested with green onion, and 50 mg/kg for pyrene when tested with wheat. Among the five species, wheat was found to be the most sensitive. When amended jointly at or below their respective LOAEC, phenanthrene and pyrene produced a synergistic toxic effect. | SONGYu-fang GONGPing ZHOUQi-xing SUNTie-heng | 2005 | Journal of Environmental Sciences2005，17，4： | 6 |
| 3 | Pre-course student performance prediction with multi-instance multi-label learning显示文摘Dear editor,Studying courses is one of the most basic and important tasks for college students.For each new course,the initial period of learning is crucial for students,and seriously influences subsequent learning activities.However,given a large number of classes in universities,it has become impossible for teachers to keep track of the individual performance of each student.In these circumstances,it is desirable to predict each student’s performance on a certain course prior to its commencement. | Yuling MA Chaoran CUI Xiushan NIE Gongping YANG Kashif SHAHEED Yilong YIN | 2019 | Science China(Information Sciences)2019，62，2： | 5 |
| 4 | Two-Dimensional-Material Membranes:Manipulating the Transport Pathway for Molecular Separation显示文摘CONSPECTUS:The discovery of graphene triggers a new era of two-dimensional(2D)materials,which exhibit great potential in condensed matter physics,chemistry,and materials science.Meanwhile,the booming of 2D materials brings new opportunities for the next generation of high-performance(high permeability,selectivity,and stability)separation membranes.Two-dimensional materials with atomic thinness can serve as new building blocks for fabricating ultrathin membranes possessing the ultimate permeation rate.The plane structure with micrometer lateral dimensions provides an excellent platform for the orderly alignment of the nanosheets.Moreover,the apertures of two-dimensional-material membranes(2DMMs),including the in-plane nanopores and interlayer channels,can contribute to the fast and selective transport of small molecules/ions related to molecular separation.Therefore,the emerging 2D materials with various nanostructures,including graphene oxide(GO),zeolite nanosheets,metal−organic framework(MOF)nanosheets,and transition-metal carbides/carbonitrides(MXene),can be assembled into highperformance membranes.Various assembly methods such as filtration,spin coating,and hot dropping have been employed to fabricate 2DMMs,while the processes for separating small molecules/ions tend to demand higher precision,especially in water desalination and gas separation.The nanostructures of 2DMMs and the physicochemical properties of transport pathway need to be finely tuned to meet the requirement.In addition,the stability of 2DMMs,which is critical to the large-scale implementation,must be taken into consideration as well.In this Account,we discuss our recent progress in manipulating molecular transport pathways in 2DMMs by optimizing the assembly behavior of 2D nanosheets,tuning the microstructure of interlayer channels,and controlling the physicochemical properties of the membrane surface.Assembly methods,including vacuum suction assembly,polymer-induced assembly,and external force-driven assembly,have been proposed to construct ordered laminates for molecular transport.The size and chemical structure of interlayer channels were further tailored by strategies such as nanoparticle intercalation,cationic control,and chemical modification.Interestingly,the manipulation of surface properties of 2DMMs was proven to contribute to fast molecular transport through interlayer channels.Moreover,the issues concerning 2DMMs toward practical applications are discussed with an emphasis on the substrate effect,molecular bridge strategy,and preliminary progress in large-scale fabrication.Finally,we conclude this Account with an overview of the remaining challenges and the new opportunities that will be opened up for 2DMMs in molecular separation. | Long Cheng Gongping Liu Jing Zhao Wanqin Jin | 2021 | Accounts of Materials Research2021，2，2： | 4 |
| 5 | Two-dimensional MXene hollow fiber membrane for divalent ions exclusion from water显示文摘Two-dimensional material membranes with fast transport channels and versatile chemical functionality are promising for molecular separation.Herein,for the first time,we reported design and engineering of two-dimensional Ti_(3)C_(2)Tx MXene(called transition metal carbides and nitrides)membranes supported on asymmetric polymeric hollow fiber substrate for water desalination.The membrane morphology,physicochemical properties and ions exclusion performance were systematically investigated.The results demonstrated that surface hydrophilicity and electrostatic repulsion and size sieving effect of interlayer channels synergistically endowed the MXene hollow fiber membrane with fast water permeation and efficient rejection of divalent ions during nanofiltration process. | Guozhen Liu Yanan Guo Baochun Meng Zhenggang Wang Gongping Liu Wanqin Jin | 2022 | Chinese Journal of Chemical Engineering2022，35，1： | 3 |
| 6 | Natural gas purification by asymmetric membranes: An overview显示文摘Natural gas, as a very important source of energy and chemical feedstock, can be used in place of coal to lower net carbon dioxide emissions.Membrane separation technology is an attractive alternative for natural gas purification where the impurities represented by acid gases(CO_(2) and H_(2)S) as well as inert gases(N_(2)) must be removed to meet the transportation and usage specifications. From the economic benefits viewpoint,asymmetric membranes are required for industrial manufacture and applications. This paper aims to review the latest development of various kinds of asymmetric membranes for natural gas purification, mainly focusing on CO_(2) removal from CH_(4), including H_(2)S and N_(2) separation from CH_(4) as well. According to material types, polymeric, inorganic, mixed-matrix and carbon molecular sieve membranes are introduced. The associated fabrication approaches and transport properties are discussed for each kinds of asymmetric membranes. Towards the practical implementation, an emphasis is placed on hollow fiber asymmetric structure for these polymeric, mixed-matrix and carbon molecular sieve membranes. | Xi Chen Gongping Liu Wanqin Jin | 2021 | Green Energy & Environment2021，6，2： | 3 |
| 7 | Polydimethylsiloxane (PDMS) Composite Membrane Fabricated on the Inner Surface of a Ceramic Hollow Fiber: From Single-Channel to Multi-Channel显示文摘The fabrication of a separation layer on the inner surface of a hollow fiber (HF) substrate to form an HF composite membrane offers exciting opportunities for industrial applications, although challenges remain. This work reports on the fabrication of a polydimethylsiloxane (PDMS) composite membrane on the inner surface of a single-channel or multi-channel ceramic HF via a proposed coating/crossflow approach. The nanostructures and transport properties of the PDMS HF composite membranes were optimized by controlling the polymer concentration and coating time. The morphology, surface chemistry, interfacial adhesion, and separation performance of the membranes were characterized by fieldemission scanning electron microscope (FE-SEM), attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy, the nano-indentation/scratch technique, and pervaporation (PV) recovery of bio-butanol, respectively. The formation mechanism for the deposition of the PDMS layer onto the inner surface of the ceramic HF was studied in detail. The optimized inner surface of the PDMS/ceramic HF composite membranes with a thin and defect-free separation layer exhibited a high flux of ~1800 gm-2h-1 and an excellent separation factor of 35–38 for 1 wt% n-butanol/water mixtures at 60 C. The facile coating/cross-flow methodology proposed here shows great potential for fabricating inner-surface polymer-coated HFs that have broad applications including membranes, adsorbents, composite materials, and more. | Ziye Dong Haipeng Zhu Yingting Hang Gongping Liu Wanqin Jin | 2020 | Engineering2020，6，1： | 2 |
| 8 | Anchor-based manifold binary pattern for finger vein recognition显示文摘This paper proposes a novel learning method of binary local features for recognition of the finger vein. The learning methods existing in local features for image recognition intend to maximize the data variance, reduce quantitative errors, exploit the contextual information within each binary code, or utilize the label information, which all ignore the local manifold structure of the original data. The manifold structure actually plays a very important role in binary code learning, but constructing a similarity matrix for large-scale datasets involves a lot of computational and storage cost. The study attempts to learn a map, which can preserve the manifold structure between the original data and the learned binary codes for large-scale situations. To achieve this goal, we present a learning method using an anchor-based manifold binary pattern(AMBP) for finger vein recognition. Specifically, we first extract the pixel difference vectors(PDVs) in the local patches by calculating the differences between each pixel and its neighbors. Second,we construct an asymmetric graph, on which each data point can be a linear combination of its K-nearest neighbor anchors, and the anchors are randomly selected from the training samples. Third, a feature map is learned to project these PDVs into low-dimensional binary codes in an unsupervised manner, where(i) the quantization loss between the original real-valued vectors and learned binary codes is minimized and(ii) the manifold structure of the training data is maintained in the binary space. Additionally, the study fuses the discriminative binary descriptor and AMBP methods at the image representation level to further boost the performance of the recognition system. Finally, experiments using the MLA and PolyU databases show the effectiveness of our proposed methods. | Haiying LIU Gongping YANG Lu YANG Kun SU Yilong YIN | 2019 | Science China(Information Sciences)2019，62，5： | 2 |
| 9 | Multi-task MIML learning for pre-course student performance prediction显示文摘In higher education,the initial studying period of each course plays a crucial role for students,and seriously influences the subsequent learning activities.However,given the large size of a course’s students at universities,it has become impossible for teachers to keep track of the performance of individual students.In this circumstance,an academic early warning system is desirable,which automatically detects students with difficulties in learning(i.e.,at-risk students)prior to a course starting.However,previous studies are not well suited to this purpose for two reasons:1)they have mainly concentrated on e-learning platforms,e.g.,massive open online courses(MOOCs),and relied on the data about students’online activities,which is hardly accessed in traditional teaching scenarios;and 2)they have only made performance prediction when a course is in progress or even close to the end.In this paper,for traditional classroom-teaching scenarios,we investigate the task of pre-course student performance prediction,which refers to detecting at-risk students for each course before its commencement.To better represent a student sample and utilize the correlations among courses,we cast the problem as a multi-instance multi-label(MIML)problem.Besides,given the problem of data scarcity,we propose a novel multi-task learning method,i.e.,MIML-Circle,to predict the performance of students from different specialties in a unified framework.Extensive experiments are conducted on five real-world datasets,and the results demonstrate the superiority of our approach over the state-of-the-art methods. | Yuling Ma Chaoran Cui Jun Yu Jie Guo Gongping Yang Yilong Yin | 2020 | Frontiers of Computer Science2020，14，5： | 1 |
| 10 | A hybrid biometric identification framework for high security applications显示文摘 | Xuzhou LI Yilong YIN Yanbin NING Gongping YANG Lei PAN | 2015 | Frontiers of Computer Science2015，9，3： | 1 |
| 11 | Hydrophobic-ZIF-71 filled PEBA mixed matrix membranes for recovery of biobutanol via pervaporation显示文摘 | Sainan Liu Gongping Liu Xuhong Zhao Wanqin Jin | 2013 | Journal of Membrane Science2013，，： | 1 |
| 12 | STAT3 ameliorates truncated tau-induced cognitive deficits显示文摘Proteolytic cleavage of tau by asparagine endopeptidase(AEP)creates tau-N368 fragments,which may drive the pathophysiology associated with synaptic dysfunction and memory deterioration in the brain of Alzheimer’s disease patients.Nonetheless,the molecular mechanisms of truncated tau-induced cognitive deficits remain unclear.Evidence suggests that signal transduction and activator of transcription-3(STAT3)is associated with modulating synaptic plasticity,cell apoptosis,and cognitive function.Using luciferase reporter assays,electrophoretic mobility shift assays,western blotting,and immunofluorescence,we found that human tau-N368 accumulation inhibited STAT3 activity by suppressing STAT3 translocation into the nucleus.Overexpression of STAT3 improved tau-N368-induced synaptic deficits and reduced neuronal loss,thereby improving the cognitive deficits in tau-N368 mice.Moreover,in tau-N368 mice,activation of STAT3 increased N-methyl-D-aspartic acid receptor levels,decreased Bcl-2 levels,reversed synaptic damage and neuronal loss,and thereby alleviated cognitive deficits caused by tau-N368.Taken together,STAT3 plays a critical role in truncated tau-related neuropathological changes.This indicates a new mechanism behind the effect of tau-N368 on synapses and memory deficits.STAT3 can be used as a new molecular target to treat tau-N368-induced protein pathology. | Bingge Zhang Huali Wan Maimaitijiang Maierwufu Qian Liu Ting Li Ye He Xin Wang Gongping Liu Xiaoyue Hong Qiong Feng | 2024 | Neural Regeneration Research2024，19，4： | 1 |
| 13 | Pervaporation performance of PDMS/ceramic composite membrane in acetone butanol ethanol (ABE) fermentation–PV coupled process显示文摘 | Gongping Liu Wang Wei Hao Wu Xueliang Dong Min Jiang Wanqin Jin | 2011 | Journal of Membrane Science2011，，1： | 1 |
| 14 | Finger vein recognition based on deformation information显示文摘The measurement of the vessel pattern in fingers is a superior method for identifying individuals owing to its convenience and the security it offers. We introduce in this paper a new perspective to accomplish finger vein recognition. This method, which regards deformations as discriminative information, is distinct from existing methods that attempt to prevent the influence of deformations. The proposed technique is based on the observation that regular deformation, which corresponds to a posture change, can only exist in genuine vein patterns. In terms of methodology, we incorporate optimized matching to generate pixelbased 2 D displacements that correspond to deformations. The texture of uniformity extracted from the displacement fields is taken as the final matching score. Evaluated on two publicly available databases,Poly U and SDU-MLA, extensive experiments demonstrated that the discriminability of the new feature derived from deformations is preferable. The equal error rate(EER) achieved is the lowest compared to that of state-of-the-art techniques. | Xianjing MENG Xiaoming XI Gongping YANG Yilong YIN | 2018 | Science China(Information Sciences)2018，61，5： | 1 |
| 15 | SinglestepassemblyofDOX/ICGloadedlipidpolymernanoparticlesforhighlyeffectivechemophotothermalcombinationtherapy显示文摘 | ZhengM YueC MaY GongP ZhaoP ZhengC etal | 2013 | ACSNano2013，7，3： | 1 |
| 16 | Diallyl sulfide inducesheme oxygenase-1 through MAPK pathway显示文摘 | GongP HuB CederbaumAI | 2004 | Arch Bfochem Bioph2004，432，： | 1 |
| 17 | Graphene-based membranes显示文摘 | Gongping Liu Wanqin Jin Nanping Xu | 2015 | ChemSocRev2015，44，： | 1 |
| 18 | A Graphene Oxide Membrane with Highly Selective Molecular Separation of Aqueous Organic Solution显示文摘 | Kang Huang Gongping Liu Wanqin Jin | 2014 | AngewChernlntEd2014，53，： | 1 |
| 19 | Non-negative locality-constrained vocabulary tree for finger vein image retrieval显示文摘Finger vein image retrieval is a biometric identification technology that has recently attracted a lot of attention. It has the potential to reduce the search space and has attracted a considerable amount of research effort recently. It is a challenging problem owing to the large number of images in biometric databases and the lack of efficient retrieval schemes. We apply a hierarchical vocabulary tree modelbased image retrieval approach because of its good scalability and high efficiency. However, there is a large accumulative quantization error in the vocabulary tree (VT) model that may degrade the retrieval precision. To solve this problem, we improve the vector quantization coding in the VT model by introducing a non-negative locality-constrained constraint: the non-negative locality-constrained vocabulary tree-based image retrieval model. The proposed method can effectively improve coding performanee and the discriminative power of local features. Extensive experiments on a large fused finger vein database demonstrate the superiority of our encoding method. Experimental results also show that our retrieval strategy achieves better performanee than other state-of-theart methods, while maintaining low time complexity. | Kun SU Gongping YANG Lu YANG Peng SU Yilong YIN | 2019 | Frontiers of Computer Science2019，13，2： | 1 |
| 20 | Synthesis and Antibacterial Activities of Erythromycin Derivatives显示文摘Ten new erythromycin antibacterial agents containing amidino group were designed and synthesized from erythromycin via oximation, reduction and condensation. Their structures were confirmed by MS and 13C NMR; the synthetic condition(reaction medium)was explored; and their in vtiro antibacterial activities were tested. Compound HMA-3 showed antibacterial activity against staphylococcus aureus, which is equivalent to that of erythromycin A. Compounds HMA-8 and HMA-4 also showed an antibacterial activitiy. But no compound showed bactericidal activity. | FENGRun-liang GONGPing FANGLin HONGWei | 2005 | Chemical Research in Chinese Universities2005，21，2： | 1 |
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