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Enhancing m^(6)A modification in the motor cortex facilitates corticospinal tract remodeling after spinal cord injury

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Neural Regeneration Research 2025年第6期20卷 1749-1763页

作者： tian Qin Yuxin Jin Yiming Qin Feifei Yuan Hongbin Lu Jianzhong Hu Yong Cao Chengjun Li Department of Spine Surgery and Orthopedics Xiangya HospitalCentral South UniversityChangshaHunan ProvinceChina Key Laboratory of Organ Injury Aging and Regenerative Medicine of Hunan ProvinceChangshaHunan ProvinceChina National Clinical Research Center for Geriatric Disorders Xiangya HospitalCentral South UniversityChangshaHunan ProvinceChina Department of Sports Medicine Xiangya HospitalCentral South UniversityChangshaHunan ProvinceChina

Spinal cord injury typically causes corticospinal tract disruption. Although the disrupted corticospinal tract can self-regenerate to a certain degree, the underlying mechanism of this process is still unclear. N6-methyladenosine(m^(6)A) modifications are the most common form of epigenetic regulation at the RNA level and play an essential role in biological processes. However, whether m^(6)A modifications participate in corticospinal tract regeneration after spinal cord injury remains unknown. We found that expression of methyltransferase 14 protein(METTL14) in the locomotor cortex was high after spinal cord injury and accompanied by elevated m^(6)A levels. Knockdown of Mettl14 in the locomotor cortex was not favorable for corticospinal tract regeneration and neurological recovery after spinal cord injury. Through bioinformatics analysis and methylated RNA immunoprecipitation-quantitative polymerase chain reaction, we found that METTL14 regulated Trib2 expression in an m^(6)A-regulated manner, thereby activating the mitogen-activated protein kinase pathway and promoting corticospinal tract regeneration. Finally, we administered syringin, a stabilizer of METTL14, using molecular docking. Results confirmed that syringin can promote corticospinal tract regeneration and facilitate neurological recovery by stabilizing METTL14. Findings from this study reveal that m^(6)A modification is involved in the regulation of corticospinal tract regeneration after spinal cord injury.

关键词： corticospinal tract remodeling epigenetic regulations locomotor cortex m^(6)A modification methyltransferase 14 protein(METTL14) mitogen-activated protein kinase neural regeneration spinal cord injury syringin TRIB2

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Understanding the Percolation Effect in Triboelectric Nanogenerator with Conductive Intermediate Layer

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Research 2021年第1期2021卷 452-459页

作者： Binbin Zhang Guo tian da Xiong Tao Yang Fengjun Chun Shen zhong Zhiming Lin Wen Li Weiqing Yang Key Laboratory of Advanced Technologies of Materials Ministry of EducationSchool of Materials Science and EngineeringSouthwest Jiaotong UniversityChengdu 610031China College of Electronic and Information Engineering Southwest UniversityChongqing 400715China

Introducing the conductive intermediate layer into a triboelectric nanogenerator(TENG)has been proved as an efficient way to enhance the surface charge density that is attributed to the enhancement of the dielectric ***,far too little attention has been paid to the companion percolation,another key element to affect the ***,the TENG with MXeneembedded polyvinylidene fluoride(PVDF)composite film is fabricated,and the dependence of the output capability on the MXene loading is investigated experimentally and ***,the surface charge density mainly depends on the dielectric permittivity at lower MXene loadings,and in contrast,the percolation becomes the degrading factor with the further increase of the conductive *** the balance between the dielectric and percolation properties,the surface charge density of the MXene-modified TENG obtained 350%enhancement compared to that with the pure *** work shed new light on understanding the dielectric and percolation effect in TENG,which renders a universal strategy for the high-performance triboelectronics.

关键词： MXene composite dielectric

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美国公法域外适用机制及中国因应研究

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海南大学学报（人文社会科学版） 2025年第1期43卷 195-206页

作者：田静南开大学法学院天津300071

公法域外适用衍生于国际体系的结构性演变,有着经济全球化下独特的政治、经济与意识形态背景。其在公法域外适用需求的显现、国家主权观念的转换、公法禁忌原则的突破以及法律形式的嬗变上,具备了一定的存在基础。但是近年来,囿于美国... 详细信息

公法域外适用衍生于国际体系的结构性演变,有着经济全球化下独特的政治、经济与意识形态背景。其在公法域外适用需求的显现、国家主权观念的转换、公法禁忌原则的突破以及法律形式的嬗变上,具备了一定的存在基础。但是近年来,囿于美国国际法理念的转变,其由原先对严格属地主义的固守转为对国家利益至上的推崇,因而在公法域外适用上愈发地恣意与专断,使公法域外适用存在严重的法律、外交和道德张力。为应对美国公法域外适用,中国须秉承防御与建设共进的思路。一方面,加强国际合作共同抗衡美国公法域外适用制度的滥用,同时健全中国的反制法律体系;另一方面,梳理总结美国多年来在公法域外适用过程中形成的丰富经验,在此基础上构建完善符合国际法基本原则的中国法域外适用制度。

关键词：域外适用管辖权效果原则公法禁忌

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Prediction of nuclear charge density distribution with feedback neural network

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Nuclear Science and Techniques 2022年第12期33卷 24-35页

作者： tian‑Shuai Shang Jian Li zhong‑Ming Niu College of Physics Jilin UniversityChangchun 130012China School of Physics and Optoelectronic Engineering Anhui UniversityHefei 230601China

Nuclear charge density distribution plays an important role in both nuclear and atomic physics,for which the two-parameter Fermi(2pF)model has been widely applied as one of the most frequently used ***,the feedforward neural network has been employed to study the available 2pF model parameters for 86 nuclei,and the accuracy and precision of the parameter-learning effect are improved by introducing A^(1∕3)into the input parameter of the neural ***,the average result of multiple predictions is more reliable than the best result of a single prediction and there is no significant difference between the average result of the density and parameter values for the average charge density *** addition,the 2pF parameters of 284(near)stable nuclei are predicted in this study,which provides a reference for the experiment.

关键词： Charge density distribution Two-parameter Fermi model Feedforward neural network approach

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Cauchy matrix structure of the Mel’nikov model of long-short wave interaction

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Communications in Theoretical Physics 2020年第12期72卷 83-93页

作者： Hong-Juan tian da-Jun Zhang Department of Mathematics Shanghai UniversityShanghai 200444China

We propose a systematic method to construct the Mel’nikov model of long–short wave interactions,which is a special case of the Kadomtsev–Petviashvili(KP)equation with self-consistent sources(KPSCS).We show details how the Cauchy matrix approach applies to Mel’nikov’s model which is derived as a complex reduction of the *** a new result wefind that in the dispersion relation of a 1-soliton there is an arbitrary time-dependent function that has previously not reported in the literature about the Mel’nikov *** function brings time variant velocity for the long wave and also governs the short-wave *** variety of interactions of waves resulting from the time-freedom in the dispersion relation is illustrated.

关键词： Mel’nikov model of long–short wave interaction Cauchy matrix approach self-consistent sources KP equation

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Special topic on strategies for developing energy-related physical chemistry

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Science China Chemistry 2017年第11期60卷 1377-1378页

作者： zhong-Qun tian Nanfeng Zheng Collaborative Innovation Center of Chemistry for Energy Materials State Key Laboratory for Physical Chemistry of Solid Surfacesand Department of ChemistryCollege of Chemistry and Chemical EngineeringXiamen UniversityXiamen 361005China

Increasing global energy demand and environment issue have pushed us to develop technologies for efficient utiliza- tion of fossil fuels and also seek for renewable energy re- sources. Chemistry plays a crucial role in the acquisition, generation, distribution, and utilization of energy in differ- ent forms although it is not the only contributing subject. Currently, fossil fuels are the primary source to provide the majority of the world＇s energy. While the efficient utiliza- tion of fossil fuels requires deep understanding of the ener- gy transformation processes associated with the breaking and reorganization of chemical bonds, the use of many re- newable energy resources often involves chemical trans- formations with electron transfer. For these reasons, energy chemistry has been recently emerging as a new interdisci- plinary area to address chemistry issues associated with energy technologies.

关键词：可再生能源化学战专题物理化石燃料高效利用重组技术环境问题

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Some Weighted Sum Identities for Double Zeta Values

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Acta Mathematica Sinica,English Series 2016年第7期32卷 797-806页

作者： zhong Yan SHEN tian Xin CAI Department of Mathematics Zhejiang International Studies University Department of Mathematics Zhejiang University

We obtain the weighted sum identities for.

关键词： Double zeta values weighted geometric sum

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Stability analysis of multiple-lattice self-anticipative density integration effect based on lattice hydrodynamic model in V2V environment

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Chinese Physics B 2021年第12期30卷 167-174页

作者： Geng Zhang da-Dong tian College of Computer and Information Science Southwest UniversityChongqing 400715China College of Information Science and Engineering Shandong Agricultural UniversityTai’an 271018China

Under the environment of vehicle-to-vehicle(V2V)communication,the traffic information on a large scale can be obtained and used to coordinate the operation of road traffic *** this paper,a new traffic lattice hydrodynamic model is proposed which considers the influence of multiple-lattice self-anticipative density integration on traffic flow in the V2V *** theoretical analysis,the linear stability condition of the new model is derived and the stable condition can be enhanced when more-preceding-lattice self-anticipative density integration effect is taken into *** property of the unstable traffic density wave in the unstable region is also studied according to the nonlinear *** is shown that the unstable traffic density wave can be described by solving the modified Korteweg-de-Vries(mKdV)***,the simulation results demonstrate the validity of the theoretical *** theoretical analysis and numerical simulations demonstrate that multiple-lattice self-anticipative density integration effect can enhance the stability of traffic flow system in the V2V environment.

关键词： lattice hydrodynamic model traffic stability self-anticipative density integration mKdV equation

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Decomposing Triples of Z_(p^n) and Z_(3p^n) into Cyclic Designs

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Acta Mathematica Sinica,English Series 2013年第11期29卷 2111-2128页

作者： Zi Hong tian Rui zhong WEI College of Mathematics and Information Science Hebei Normal University Department of Computer Science Lakehead University

In this paper, we give some decompositions of triples of Zp^n or Z3p^n into cyclic triple systems. New constructions of difference families are given. Some infinite classes of simple cyclic triple systems are obtained... 详细信息

关键词： Decomposition cyclic designs triple systems simple designs difference families

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data-driven parametric soliton-rogon state transitions for nonlinear wave equations using deep learning with Fourier neural operator

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Communications in Theoretical Physics 2023年第2期75卷 5-17页

作者： Ming zhong Zhenya Yan Shou-Fu tian KLMM Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China School of Mathematics China University of Mining and TechnologyXuzhou 221116China

In this paper,we develop the deep learning-based Fourier neural operator(FNO)approach to find parametric mappings,which are used to approximately display abundant wave structures in the nonlinear Schr?dinger(NLS)equation,Hirota equation,and NLS equation with the generalized PT-symmetric Scarf-II ***,we analyze the state transitions of different types of solitons(*** solitons,breathers,peakons,rogons,and periodic waves)appearing in these complex nonlinear wave *** checking the absolute errors between the predicted solutions and exact solutions,we can find that the FNO with the Ge Lu activation function can perform well in all cases even though these solution parameters have strong influences on the wave ***,we find that the approximation errors via the physics-informed neural networks(PINNs)are similar in magnitude to those of the ***,the FNO can learn the entire family of solutions under a given distribution every time,while the PINNs can only learn some specific solution each *** results obtained in this paper will be useful for exploring physical mechanisms of soliton excitations in nonlinear wave equations and applying the FNO in other nonlinear wave equations.

关键词： deep learning Fourier neural operator solitonrogon state transition nonlinear Schrödinger equation hirota equation

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