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Towards a comprehensive understanding of p75 neurotrophin receptor functions and interactions in the brain

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neural Regeneration Research 2022年第4期17卷 701-704页

作者： Joel F.Ritala seán bLyne Antti sajanti Romuald girard Janne Koskimäki Division of Clinical neurosciences Department of NeurosurgeryTurku University Hospital and University of TurkuTurkuFinland neurovascular surgery Program Section of NeurosurgeryThe University of Chicago Medicine and Biological SciencesChicagoILUSA Department of Psychiatry Central Hospital of Southern OstrobothniaSeinäjokiFinland neuroscience Center HiLIFEUniversity of HelsinkiHelsinkiFinland

The role of neurotrophins in neuronal plasticity has recently become a strong focus in neuroregeneration research field to elucidate the biological mechanisms by which these molecules modulate synapses,modify the response to injury,and alter the adaptation ***,the prior studies highlight the role of p75 neurotrophin receptor(p75^(nTR))in various injuries and diseases such as central nervous system injuries,Alzheimer's disease and amyotrophic lateral *** comprehensive elucidation of the mechanisms,and therapies targeting these molecular signaling networks may allow for neuronal tissue regeneration following an *** to a diverse role of the p75^(nTR)in biology,the body of evidence comprising its biological role is diffusely spread out over numerous *** review condenses the main evidence of p75^(nTR)for clinical applications and presents new findings from published literature how data mining approach combined with bioinformatic analyses can be utilized to gain new hypotheses in a molecular and network level.

关键词： bioinformatics brain injury data mining neuron neurotrophins p75^(nTR) plasticity regeneration

sTCF conceptual design report (Volume 1): Physics & detector

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Frontiers of physics 2024年第1期19卷 1-154页

作者： M.Achasov X.C.Ai L.P.An R.Aliberti Q.An X.Z.bai Y.bai O.bakina A.barnyakov V.blinov V.bobrovnikov D.bodrov A.bogomyagkov A.bondar I.boyko Z.H.bu F.M.Cai H.Cai J.J.Cao Q.H.Cao X.Cao Z.Cao Q.Chang K.T.Chao D.Y.Chen H.Chen H.X.Chen J.F.Chen K.Chen L.L.Chen P.Chen s.L.Chen s.M.Chen s.Chen s.P.Chen W.Chen X.Chen X.F.Chen X.R.Chen Y.Chen Y.Q.Chen H.Y.Cheng J.Cheng s.Cheng T.g.Cheng J.P.Dai L.Y.Dai X.C.Dai D.Dedovich A.Denig I.Denisenko J.M.Dias D.Z.Ding L.Y.Dong W.H.Dong V.Druzhinin D.s.Du Y.J.Du Z.g.Du L.M.Duan D.Epifanov Y.L.Fan s.s.Fang Z.J.Fang g.Fedotovich C.Q.Feng X.Feng Y.T.Feng J.L.Fu J.gao Y.n.gao P.s.ge C.Q.geng L.s.geng A.gilman L.gong T.gong b.gou W.gradl J.L.gu A.guevara L.C.gui A.Q.guo F.K.guo J.C.guo J.guo Y.P.guo Z.H.guo A.guskov K.L.Han L.Han M.Han X.Q.Hao J.b.He s.Q.He X.g.He Y.L.He Z.b.He Z.X.Heng b.L.Hou T.J.Hou Y.R.Hou C.Y.Hu H.M.Hu K.Hu R.J.Hu W.H.Hu X.H.Hu Y.C.Hu J.Hua g.s.Huang J.s.Huang M.Huang Q.Y.Huang W.Q.Huang X.T.Huang X.J.Huang Y.b.Huang Y.s.Huang n.Hüsken V.Ivanov Q.P.Ji J.J.Jia s.Jia Z.K.Jia H.b.Jiang J.Jiang s.Z.Jiang J.b.Jiao Z.Jiao H.J.Jing X.L.Kang X.s.Kang b.C.Ke M.Kenzie A.Khoukaz I.Koop E.Kravchenko A.Kuzmin Y.Lei E.Levichev C.H.Li C.Li D.Y.Li F.Li g.Li g.Li H.b.Li H.Li H.n.Li H.J.Li H.L.Li J.M.Li J.Li L.Li L.Li L.Y.Li n.Li P.R.Li R.H.Li s.Li T.Li W.J.Li X.Li X.H.Li X.Q.Li X.H.Li Y.Li Y.Y.Li Z.J.Li H.Liang J.H.Liang Y.T.Liang g.R.Liao L.Z.Liao Y.Liao C.X.Lin D.X.Lin X.s.Lin b.J.Liu C.W.Liu D.Liu F.Liu g.M.Liu H.b.Liu J.Liu J.J.Liu J.b.Liu K.Liu K.Y.Liu K.Liu L.Liu Q.Liu s.b.Liu T.Liu X.Liu Y.W.Liu Y.Liu Y.L.Liu Z.Q.Liu Z.Y.Liu Z.W.Liu I.Logashenko Y.Long C.g.Lu J.X.Lu n.Lu Q.F.Lü Y.Lu Y.Lu Z.Lu P.Lukin F.J.Luo T.Luo X.F.Luo Y.H.Luo H.J.Lyu X.R.Lyu J.P.Ma P.Ma Y.Ma Y.M.Ma F.Maas s.Malde D.Matvienko Z.X.Meng R.Mitchell A.nefediev Y.nefedov s.L.Olsen Q.Ouyang P.Pakhlov g.Pakhlova X.Pan Y.Pan E.Passemar Y.P.Pei H.P.Peng L.Peng X.Y.Peng X.J.Peng K.Peters s.Pivovarov E.Pyata b.b.Qi Y.Q.Qi W.b.Qian Y.Qian C.F.Qiao J.J.Qin J.J.Qin L.Q.Qin X.s.Qin T.L.Qiu J.Rademacker C.F.Redmer H.Y.sang Anhui University Hefei 230039China beihang University Beijing 100191China budker Institute of nuclear Physics Novosibirsk 630090Russia CAs Key Laboratory of Theoretical Physics Institute of Theoretical PhysicsChinese Academy of SciencesBeijing 100190China Cavendish Laboratory University of CambridgeJJ Thomson AveCambridge CB30HEUnited Kingdom Central China normal University Wuhan 430079China Central south University Changsha 410083China China University of geosciences Wuhan 430074China China University of Mining and Technology Xuzhou 221116China École Polytechnique Fédérale de Lausanne(EPFL) LausanneSwitzerland Fudan University Shanghai 200433China goethe University Frankfurt D-60325 Frankfurt am MainGermany guangxi normal University Guilin 541004China guangxi Uninversity Nanning 530004China Hangzhou Institute for Advanced study UCASHangzhou 310024China Hebei normal University Shijiazhuang 050024China Hebei University Baoding 071002China Hefei University of Technology Hefei 230601China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan normal University Xinxiang 453007China Henan University Kaifeng 475004China High Energy Physics Center Chung-Ang UniversitySeoul 06974Korea Higher school of Economy 11 Pokrovsky bulvar Moscow 109028Russia Huangshan University Huangshan 245000China Hubei University of Automotive Technology Shiyan 442002China Hunan normal University Changsha 410081China Hunan University of science and Technology Xiangtan 411201China Hunan University Changsha 410082China Indiana University BloomingtonIndiana 47405USA Inner Mongolia University Hohhot 010021China Institute of Advanced science Facilities Shenzhen 518107China Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000China Institute of Physics Academia SinicaTaipeiTaiwan 11529China Institute of Theoretical Physics Chinese Academy of SciencesBeijing 100190China Jilin University Changch

The superτ-charm facility(sTCF)is an electron–positron collider proposed by the Chinese particle physics *** is designed to operate in a center-of-mass energy range from 2 to 7 geV with a peak luminosity of 0.5×10^(35) cm^(–2)·s^(–1) or *** sTCF will produce a data sample about a factor of 100 larger than that of the presentτ-charm factory—the bEPCII,providing a unique platform for exploring the asymmetry of matter-antimatter(charge-parity violation),in-depth studies of the internal structure of hadrons and the nature of non-perturbative strong interactions,as well as searching for exotic hadrons and physics beyond the standard *** sTCF project in China is under development with an extensive R&D *** document presents the physics opportunities at the sTCF,describes conceptual designs of the sTCF detector system,and discusses future plans for detector R&D and physics case studies.

关键词： electron–positron collider tau-charm region high luminosity sTCF detector conceptual design

CoFe／TiZr多层膜材料界面结构与性能的极化中子反射研究

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物理学报 2008年第1期57卷 364-370页

作者：黄朝强陈波李新喜 V．g．syromyatnikov n．K．Pleshanov 中国工程物理研究院核物理与化学研究所绵阳621900 俄罗斯科学院圣彼得堡核物理研究所卡特金娜188300

利用极化中子反射技术较系统地研究了CoFe/TiZr复合多层膜材料界面结构,结果表明.1)从多层膜超镜传输特性角度考虑,等厚对层不如非等厚对层膜结构好.2)等厚对层的最佳退火温度约250℃,非等厚对层退火温度低于250℃影响不明显,等厚和非... 详细信息

利用极化中子反射技术较系统地研究了CoFe/TiZr复合多层膜材料界面结构,结果表明.1)从多层膜超镜传输特性角度考虑,等厚对层不如非等厚对层膜结构好.2)等厚对层的最佳退火温度约250℃,非等厚对层退火温度低于250℃影响不明显,等厚和非等厚对层经350℃退火后膜层变化严重.3)从布拉格峰位变化看,随着退火温度的升高,等厚对层膜的厚度先变小后变大;非等厚对层与之相反.

关键词： CoFe TiZr多层膜退火影响膜层结构极化中子反射

FRICTIOn PROPERTIEs OF OIL-InFILTRATED POROUs AAO FILM On An ALUMInUM sUbsTRATE

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Acta Metallurgica sinica(English Letters) 2005年第3期18卷 249-253页

作者： C.X.Jiang J.P.Tu s.Y.guo M.F.Fu X.b.Zhao DepartmentofMaterialsscienceandEngineering ZhejiangUniversityHangzhou310027China／／DeparunentofMechanicalandElectronicEngineeringNanchangUniversityNanchang330029China DepartmentofMaterialsscienceandEngineering ZhejiangUniversityHangzhou310027China DepartmentofMechanicalEngineering ZhejiangInstituteofScienceandTechnologyHangzhou310012China DepartmentofMechanicalandElectronicEngineering NanchangUniversityNanchang330029China

The porous anodic aluminum oxide (AAO) film on a pure aluminum substrate was pre pared by a two-step anodization in a 0.3M oxalic acid solution and pore-enlargem ent treatment in the phosphoric acid aqueous solution at 50℃. The diameter of h ighly ordered pore on the AAO film was about 90nm, and the thickness of the AAO film was 3μm. The mineral oil was infiltrated in the ordered nanometer sized po res of AAO film on an aluminum substrate due to the capillarity effect. The fric tion coefficient was measured using a ball-on-disk tribotester. The tests were c onducted at loads range from 490 to 2450mn and at sliding velocities between 0.1 and 0.5m·s-1. Oil infiltration in porous AAO film modified friction and consid erably improved the wear resistance. As compared to the porous AAO film, the oil -infiltrated specimen had low friction coefficient. With increasing the applied load and sliding velocity, the friction coefficient of the oil-infiltrated film decreased. It indicates that the oil-infiltrated AAO film produced a new way to modify the friction and wear of aluminum alloy.

关键词： friction coefficient oil-infiltrated AAO film aluminum substrate

APPROXIMATIOn AnD gROWTH OF gEnERALIZED AXIsYMMETRIC POTEnTIALs

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Analysis in Theory and Applications 1996年第4期12卷 96-104页

作者： g.s.srivastava University of Roorkee India

The regular solutions of generalized axisymmetric potential equationare called generalized axisymmetric *** this paper,the characterizations of lower order and lower type of entire gAsP in terms of their approximation... 详细信息

关键词： lim

Almost Injective Mappings of Totally bounded Metric spaces into Finite Dimensional Euclidean spaces

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Advances in Pure Mathematics 2019年第6期9卷 555-566页

作者： gábor sági Hungarian Academy of sciences Alfréd Rényi Institute of Mathematics Budapest Hungary Department of Algebra Budapest University of Technology and Economics Budapest Hungary

Let χ= be a metric space and let ε be a positive real number. Then a function f: X→Y is defined to be an ε-map if and only if for all y∈Y, the diameter of f-1(y)?is at most ε. In Theorem 10 we will give a new proof for the following well known fact: if χ is totally bounded, then for all ε there exists a finite number n and a continuous ε-map fε: X→Rn (here Rn is the usual n-dimensional Euclidean space endowed with the Euclidean metric). If ε is “small”, then fε is “almost injective”;and still exists even if χ has infinite covering dimension (in this case, n depends on ε, of course). Contrary to the known proofs, our proof technique is effective in the sense, that it allows establishing estimations for n in terms of ε and structural properties of χ.

关键词： Totally bounded Metric spaces Dimension Theory Finite Dimensional Euclidean spaces ε-Mapping

Macro to nanoscale deformation of transformation-induced plasticity steels：Impact of aluminum on the microstructure and deformation behavior

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Journal of Materials science & Technology 2018年第5期34卷 745-755页

作者： V.s.Y.Injeti Z.C.Li b.Yu R.D.K.Misra Z.H.Cai H.Ding Department of Metallurgical Materials and Biomedical Engineering500 W. University Avenue USA school of Materials science and Engineering Northeastern University Shenyang 110819 China

This work aims to elucidate the impact of aluminum-content on microstructure and deformation mechanisms of transformation-induced plasticity（TRIP） steels through macroscale and nanoscale deformation experiments combined with post-mortem electron microscopy of the deformed *** solid-state transformation-induced mechanical deformation varied with the Al contents,and influenced tensile strength-ductility *** with 2–4 wt% Al were characterized by TRIP *** contrast to 2 Al-TRIP and 4 Al-TRIP steels,twinning-induced plasticity（TWIP） was also observed in conjunction with strain-induced martensite in 6 Al-TRIP *** behavior is attributed to the increase in stacking fault energy with the increase of Al content and stability of austenite,which depends on the local chemical *** study addresses the knowledge gap with regard to the effect of Al content on austenite stability in medium-Mn TRIP *** combination is expected to potentially enable cost-effective alloy design with high strength-high ductility condition.

关键词： Medium-manganese steels Aluminum content Electron microscopy Mechanical properties nanoscale deformation TRIP steel Twinning

generation mechanism of 100 Mg magnetic fields in the interaction of ultra-intense laser pulse with nanostructured target

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High Power Laser science and Engineering 2020年第2期8卷 50-55页

作者： J.M.Tian H.b.Cai W.s.Zhang E.H.Zhang b.Du s.P.Zhu graduate school China Academy of Engineering PhysicsBeijing 100088China Institute of Applied Physics and Computational Mathematics Beijing 100094China Center for Applied Physics and Technology HEDPSand College of EngineeringPeking UniversityBeijing 100871China

Experimental and simulation data[Moreau et al.,Plasma *** 62,014013(2019);Kaymak et al.,***.117,035004(2016)]indicate that self-generated magnetic fields play an important role in enhancing the flux and energy of relativistic electrons accelerated by ultra-intense laser pulse irradiation with nanostructured arrays.A fully relativistic analytical model for the generation of the magnetic field based on electron magneto-hydrodynamic description is presented *** analytical model shows that this self-generated magnetic field originates in the nonparallel density gradient and fast electron current at the interfaces of a nanolayered target.A general formula for the self-generated magnetic field is found,which closely agrees with the simulation scaling over the relevant intensity *** result is beneficial to the experimental designs for the interaction of the laser pulse with the nanostructured arrays to improve laser-to-electron energy coupling and the quality of forward hot electrons.

关键词： nanolayered target self-generated magnetic field ultra-intense laser pulse

A Hybrid Associative Classification Model for software Development Effort Estimation

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Circuits and systems 2016年第6期7卷 824-834页

作者： s. saraswathi n. Kannan Department of Computer science and Engineering Jayaram College of Engineering and Technology Tiruchirappalli India

A mathematical model that makes use of data mining and soft computing techniques is proposed to estimate the software development effort. The proposed model works as follows: The parameters that have impact on the development effort are divided into groups based on the distribution of their values in the available dataset. The linguistic terms are identified for the divided groups using fuzzy functions, and the parameters are fuzzified. The fuzzified parameters then adopt associative classification for generating association rules. The association rules depict the parameters influencing the software development effort. As the number of parameters that influence the effort is more, a large number of rules get generated and can reduce the complexity, the generated rules are filtered with respect to the metrics, support and confidence, which measures the strength of the rule. genetic algorithm is then employed for selecting set of rules with high quality to improve the accuracy of the model. The datasets such as nasa93, Cocomo81, Desharnais, Maxwell, and Finnish-v2 are used for evaluating the proposed model, and various evaluation metrics such as Mean Magnitude of Relative Error, Mean Absolute Residuals, shepperd and MacDonell’s standardized Accuracy, Enhanced standardized Accuracy and Effect size are adopted to substantiate the effectiveness of the proposed methods. The results infer that the accuracy of the model is influenced by the metrics support, confidence, and the number of association rules considered for effort prediction.

关键词： software Effort Cost Estimation Fuzzy Logic genetic Algorithm Randomization Techniques