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Short-range ordering plays a determining role in the low-cycle fatigue life improvement of fcc metals: A conclusive study on low solid-solution hardening Ni-Cr alloys

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journal of Materials Science & Technology 2023年第25期156卷 157-171页

作者： y.j.zhang D.Han X.W.Li Department of Materials Physics and Chemistry School of Materials Science and EngineeringNortheastern UniversityShenyang 110819China State Key Laboratory of Rolling and Automation Northeastern UniversityShenyang 110819China Key Laboratory for Anisotropy and Texture of Materials Ministry of EducationNortheastern UniversityShenyang 110819China

The effect of short-range ordering (SRO) on the low-cycle fatigue (LCF) behavior of low solid-solution hardening Ni-Cr alloys with high stacking fault energies (SFEs) was systematically studied under cycling at constant total strain amplitude (Δε t /2) in the range of 0.1%–0.7%. The results show that an inducement of SRO structures can notably improve the fatigue life of the alloy regardless of Δε t /2, and several unique fatigue characteristics have been detected, including the transition of fatigue cracking mode from intergranular cracking to slip band cracking, the non-negligible evolution from non-Masing behavior in pure Ni to Masing behavior in the Ni-40Cr alloy, and the secondary cyclic hardening behavior in the Ni-10Cr and Ni-20Cr alloys. All these experimental phenomena are tightly associated with the transformation in cyclic deformation mechanisms that is induced by SRO based on the “glide plane softening” effect. Furthermore, a comprehensive fatigue life prediction model based on total hysteresis energy has been reasonably proposed, focusing on the analyses of the macroscopic model parameters (namely the fatigue cracking resistance exponent β and the crack propagation resistance parameter W 0 ) and microscopic damage mechanisms. In brief, on the premise that the effects of SFE and friction stress can be nearly ignored, as in the case of the present low solid-solution hardening Ni-Cr alloys with high SFEs, an enhancement of SRO in face-centered cubic metals has been convincingly confirmed to be an effective strategy to improve their LCF performance.

关键词： Ni-Cr alloy Short range ordering Low solid-solution hardening Low-cycle fatigue Slip mode Fatigue life prediction model

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Land cover classification in a mixed forest-grassland ecosystem using LResU-net and UAV imagery

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journal of Forestry Research 2022年第3期33卷 923-936页

作者： Chong zhang Li zhang Bessie y.j.zhang jingqian Sun Shikui Dong Xueyan Wang yaxin Li jian Xu Wenkai Chu yanwei Dong Pei Wang College of Science Beijing Forestry UniversityBeijing100083People’s Republic of China College of Grassland Science Beijing Forestry UniversityBeijing100083People’s Republic of China Xing’an League Grassland Workstation Inner Mongolia Autonomous Region137400People’s Republic of China Mathematical and Computational Science Department Stanford UniversityStanfordCA94305USA

Using an unmanned aerial vehicle (UAV) paired with image semantic segmentation to classify land cover within natural vegetation can promote the development of forest and grassland field. Semantic segmentation normally excels in medical and building classification, but its usefulness in mixed forest-grassland ecosystems in semi-arid to semi-humid climates is unknown. This study proposes a new semantic segmentation network of LResU-net in which residual convolution unit (RCU) and loop convolution unit (LCU) are added to the U-net framework to classify images of different land covers generated by UAV high resolution. The selected model enhanced classification accuracy by increasing gradient mapping via RCU and modifying the size of convolution layers via LCU as well as reducing convolution kernels. To achieve this objective, a group of orthophotos were taken at an altitude of 260 m for testing in a natural forest-grassland ecosystem of Keyouqianqi, Inner Mongolia, China, and compared the results with those of three other network models (U-net, ResU-net and LU-net). The results show that both the highest kappa coefficient (0.86) and the highest overall accuracy (93.7%) resulted from LResU-net, and the value of most land covers provided by the producer’s and user’s accuracy generated in LResU-net exceeded 0.85. The pixel-area ratio approach was used to calculate the real areas of 10 different land covers where grasslands were 67.3%. The analysis of the effect of RCU and LCU on the model training performance indicates that the time of each epoch was shortened from U-net (358 s) to LResU-net (282 s). In addition, in order to classify areas that are not distinguishable, unclassified areas were defined and their impact on classification. LResU-net generated significantly more accurate results than the other three models and was regarded as the most appropriate approach to classify land cover in mixed forest-grassland ecosystems.

关键词： UAV images Semantic segmentation LResU-net Land cover classification

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Targeting LIF/LIFR signaling in cancer

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Genes & Diseases 2022年第4期9卷 973-980页

作者： Suryavathi Viswanadhapalli Kalarickal V.Dileep Kam y.j.zhang Hareesh B.Nair Ratna K.Vadlamudi Department of Obstetrics and Gynecology University of Texas Health San AntonioSan AntonioTX 78229USA Laboratory for Structural Bioinformatics Center for Biosystems Dynamics ResearchRIKENYokohamaKanagawa 230-0045Japan Evestra Inc.San AntonioTX 78245USA Mays Cancer Center University of Texas Health San AntonioSan AntonioTX 78229USA

Leukemia inhibitory factor (LIF), and its receptor (LIFR), are commonly over-expressed in many solid cancers and recent studies have implicated LIF/LIFR axis as a promising clinical target for cancer therapy. LIF/LIFR activate oncogenic signaling pathways including jAK/STAT3 as immediate effectors and MAPK, AKT, mTOR further downstream. LIF/LIFR signaling plays a key role in tumor growth, progression, metastasis, stemness and therapy resistance. Many solid cancers show overexpression of LIF and autocrine stimulation of the LIF/LIFR axis;these are associated with a poorer relapse-free survival. LIF/LIFR signaling also plays a role in modulating multiple immune cell types present in tumor micro environment (TME). Recently, two targeted agents that target LIF (humanized anti-LIF antibody, MSC-1) and LIFR inhibitor (EC359) were under development. Both agents showed effectivity in preclinical models and clinical trials using MSC-1 antibody are in progress. This article reviews the significance of LIF/LIFR pathways and inhibitors that disrupt this process for the treatment of cancer.

关键词： LIF LIFR LIFR inhibitor STAT3 Targeted therapy

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THE REINFORCING MECHANISM OF TiB2 IN TiB2/A357 COMPOSITE

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Acta Metallurgica Sinica(English Letters) 2003年第5期16卷 375-378页

作者： B.yu y.j.zhang Z.X.Zhao~ F.X.Zhao: Q.K.Cai C.S.Liu ShenyangResearchInstituteofFoundry TheChineseAcademyofMachinerySciencesShenyang110022China EastChinaUniversityofScienceandTechnology Shanghai200237China SchoolofMaterials&Metallurgy NortheasternUniversityShenyang110004China

Mechanical properties were tested for in situ TiB2/A357 composite fabricated by LSM (mixed salts reaction) method. Micro structures of as cast and plastic deformed TiB2/A357 were investigated. The results show that there is a low misfit between (200) Al and (101)TiB2 with [011]//Al [101]TiB2. There is a change from fully dendritic structure of the α-Al of A357 to a rosette-type structure of TiB2/A357. Significant increases in proof stress and young's modulus can be obtained at low TiB2 additions. There exist dislocation loops around neighboring TiB2 particles with about 0.1μm in diameter and dislocation multiplication near TiB2 particles.

关键词： TiB2/Al in situ composite reinforcing mechanism

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PROTEIN SECONDARy STRUCTURE PREDICATION USING THE 3D PROFILE METHOD

PROTEIN SECONDARY STRUCTURE PREDICATION USING THE 3D PROFILE...

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Sixteenth Congress of the International Union of Crystallography

作者： Kam y.j.zhang David Eisenberg Molecular Biology Institute ＆ Department of Chemistry and Biochemistry University of CaliforniaLos AngelesCA90024-1570USA.

＜正＞A new method for the prediction of protein secondary structures has been *** method uses die 3D profile（Bowie,Liithy ＆ Eisenberg,Science,1991,253,164-170） to represent the three dimensional（3D） structure by the environments of each residue. Environmental properties include the buried area,fraction polarity and secondary *** have modified the 3D profile method to use a Fourier series to represent the residue preferences as a function

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THE EFFECTS OF NEGATIVE BIAS AND FLUX RATIO ON THE PROPERTIES OF TiN THIN FILMS FORMED By FILTERED CATHODIC ARC PLASMA TECHNIQUE

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Acta Metallurgica Sinica(English Letters) 2005年第3期18卷 369-374页

作者： y.j.zhang P.X.yan Z.G.Wu W.W.zhang j.Wang Q.j.Xue DeparunentofPhysics LanzhouUniversitryLanzhou730000China DeparunentofPhysics LanzhouUniversitryLanzhou730000China／／StateKeyLaboratoryofSolidLubricationInstituteofChemicalPhysicsTheChineseAcademyofSciencesLanzhou730000China StateKeyLaboratoryofSolidLubrication InstituteofChemicalPhysicsTheChineseAcademyofSciencesLanzhou730000China

The filtered cathodic vacuum-arc (FCVA) technique is a supplementary and alterna tive technique with respect to convendtional physical and chemical vapour deposi tion which can remove macro-particles effectively and make the deposition proces s at ambient temperature. In this work, high quality TiN thin films were deposi ted on silicon substrates at low temperature using the improved filtered cathodi c arc plasma (FCAP) technique. AFM, XRD, TEM were employed to characterize the T iN thin films. The effects of the negative substrate bias on the grain size, pre ferred crystalline orientation, surface roughness of TiN thin films were discuss ed.

关键词： TiN filtered cathodic arc plasma preferred orientation

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Computing the RCS of Dielectric Coated Objects using Multilevel Fast Multipole Algrithm:Impedance Boudary Condition Approach

Computing the RCS of Dielectric Coated Objects using Multile...

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2004 3rd International Conference on Computational Electromagnetics and Its Applications

作者： Zaw Zaw Oo En-Xiao Liu Li Er-Ping y.j.zhang Li Le-Wei Computational Electronics & Electromagnetics Division Institute of High Performance Computing(IHPC) Science Park 2 Singapore 117528 Department of Electrical & Computer Engineering National University of Singapore(NUS) Kent Ridge Singapore 119260

＜正＞The Fast Multipole Method（FMM） and Multilevel Fast Multipole Algorithm（MLFMA） are successfully developed to solve electrically very large size of perfectly electric conducting objects（PEC）.Using the impedance boundary conditions（IBC）, the integral equations（IEs） can be simplified and solved for wave problems involving imperfectly conducting ***,the algorithm is firstly implemented and verified by comparing with the exact analytical solution for a PEC sphere,and then extended for imperfectly conducting（thin material coating） objects and verified with the analytical ***,it has been applied to an aircraft model with the PEC and material coating surface and compared the results.

关键词： Integral Equations Fast Multipole Method Impedance boundary condition Radar cross section

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The high-energy particle package onboard CSES

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Radiation Detection Technology and Methods 2019年第3期3卷 45-55页

作者： X.Q.Li y.B.Xu Z.H.An X.H.Liang P.Wang X.y.Zhao H.y.Wang H.Lu y.Q.Ma X.H.Shen X.y.Wen H.Wang D.L.zhang F.Shi W.X.Peng M.Gao X.X.yu j.Z.Wang y.j.zhang j.L.zhang j.zhang H.X.Li j.R.Zeng y.F.Nan Institute of High Energy Physics CASBeijing 100049China Institute of Crustal Dynamics CEABeijing 100085China Nanchang Hangkong University Nanchang 330063China Northwest University Xi’an 710127China

Introduction The China Seismo-Electromagnetic Satellite(CSES)aims to monitor space electromagnetic fields,ionospheric plasma,high-energy charged particles and other features of the global space *** high-energy particle package(HEPP),which can effectively detect the energy spectrum,flux and pitch angle distribution of space electrons and protons,and soft X-ray emission from solar flares,is one of the main payloads of *** and methods In this study,we designed,developed and calibrated the high-energy particle package and launched it into orbit with *** consists of the high-energy detector(HEPP-H),the low-energy detector(HEPP-L),and the solar X-ray monitor(HEPP-X).The three sub-detectors mainly use silicon detector and crystal calorimeter detection *** launching,we calibrated the three sub-detectors in detail by using radiation source and accelerator *** All the three sub-detectors have good energy *** launching into orbit,the space energetic particles and X-ray distribution detected by HEPP are consistent with *** performance indices of the detector reach the advanced level of the same kind of detector in the *** HEPP has a wide energy detection range,good energy resolution and high angular resolution ability for electrons and *** will play an important role in the study of space particle response and space physics of seismic activity.

关键词： ZH-1 CSES HEPP High-energy particle Radiation belt

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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

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Polymorphism and Association Analysis of Microsatellite Sj01 Locus Flanking Porcine Myostatin Gene

Polymorphism and Association Analysis of Microsatellite SJ01...

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第十五次全国动物遗传育种学术讨论会

作者： y.j.zhang~(1,2),G.C.Li~1 and y.L.jiang~(1*) 1.College of Animal Science and Veterinary Medicine,Shandong Agricultural University,Taian 271018,China 2.College of Life Science,Linyi Normal University,Linyi 276005,China

＜正＞Introduction Myostatin is a negative regulator of skeletal muscle mass in *** previous study found that polymorphisms in the 5’ -regulatory region of porcine myostatin gene were associated with early growth tra... 详细信息

关键词： pig microsatellite SjO1 polymorphism birth weight early growth traits

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