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Some Comments on Pressure Calibration over Lower Mantle Conditions

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矿物岩石地球化学通报 2007年第Z1期26卷 527-528页

作者： hui zhao d. j. weidner yun liu Institute of Geochemistry Chinese Academy of Sciences Guangzhou 550002 China department of Geosciences SUNY at Stony Brook Stony Brook NY 11790 USA department of Geosciences SUNY at Stony Brook Stony Brook NY 11790 USA Institute of Geochemistry Chinese Academy of Sciences Guangzhou 550002 China

　　Recently, there is an urgent need in high pressure community for a pressure scale whose accuracy is comparable to the high precision of experimental *** of the difficulties is the lack of an absolute scale,in part... 详细信息

关键词： pressure calibration equation of state (EOS) perovskite mantle composition pyrolite shock wave

Rapid Quantification of Astilbin in Rat Plasma by Liquid Chromatography-tandem Mass Spectrometry and Its Application to Pharmacokinetic Study

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Chemical Research in Chinese Universities 2013年第6期29卷 1078-1082页

作者： YIN Lei ZHANG yun-hui zhao Sen CHENG Long-mei SHI Mei-yun YANG Yan SUN Yan-tong liu Xi-dong FAWCETT j. Paul School of Life Sciences Jilin University Changchun 130012 P.R.China Clinical Pharmacology Center Research Institute of Translational Medicine the First Hospital of Jilin University Changchun 130061 P.R.China National Engineering Laboratory for AIdS Vaccine the Ministry of EducationJilin University Changchun 130012 P.R.China Key Laboratory for Molecular Enzymology and Engineering the Ministry of EducationJilin University Changchun 130012 P.R.China School of Pharmaceutical Sciences Jilin University Changchun 130021 P. R. China School of Pharmacy University of Otago Dunedin 9054 New Zealand

Astilbin is a potential immunosuppressive agent with minor cytotoxicity. Its oral bioavailability is supposed to be rather low and therefore a sensitive analytical method is required for its pharmacokinetic study after oral administration. A simple, sensitive and rapid liquid chromatography-tandem mass spectrometry（LC-MS/MS） method was developed and validated for the determination of astilbin in rat plasma. Plasma samples were subjected to liquid-liquid extraction with ethyl acetate and separated by reversed phase high performance liquid chromatography（HPLC） with methanol-0.01%（volume fraction） formic acid（50：50, volume ratio） as mobile phase. Quantitive determination was achieved on negative LC-MS/MS by a multiple reaction moitoring method with transitions m/z 449.1→150.9（quantifier） and m/z 449.1→284.9（qualifier） for astilbin and m/z 128.9→42.0 for internal standard（IS）. A lower limit of quantification（LLOQ） of ng/mL was achieved within a short cycle time of 3.4 min. The method was successfully applied to a pharmacokinetic study involving oral and intravenous administrations of 6 mg/kg astilbin to six rats.

关键词： Astilbin Liquid chromatography-tandem mass spectrometry(LC-MS/MS) Pharmacokinetics Rat Plasma

Amplitude analysis of the decays d^(0)→π^(+)π^(−)π^(+)π^(−)and d^(0)→π^(+)π^(−)π^(0)π^(0)

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Chinese Physics C 2024年第8期48卷 6-33页

作者： M.Ablikim M.N.Achasov P.Adlarson O.Afedulidis X.C.Ai R.Aliberti A.Amoroso Q.An Y.Bai O.Bakina I.Balossino Y.Ban H.-R.Bao V.Batozskaya K.Begzsuren N.Berger M.Berlowski M.Bertani d.Bettoni F.Bianchi E.Bianco A.Bortone I.Boyko R.A.Briere A.Brueggemann H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin j.F.Chang W.L.Chang G.R.Che G.Chelkov C.Chen C.H.Chen Chao Chen G.Chen H.S.Chen M.L.Chen S.j.Chen S.L.Chen S.M.Chen T.Chen X.R.Chen X.T.Chen Y.B.Chen Y.Q.Chen Z.j.Chen Z.Y.Chen S.K.Choi X.Chu G.Cibinetto F.Cossio j.j.Cui H.L.dai j.P.dai A.dbeyssi R.E.de Boer d.dedovich C.Q.deng Z.Y.deng A.denig I.denysenko M.destefanis F.de Mori B.Fang S.S.Fang W.X.Fang Y.Fang Y.Q.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng j.H.Feng Y.T.Feng K.Fischer M.Fritsch C.d.Fu j.L.Fu Y.W.Fu H.Gao Y.N.Gao Yang Gao S.Garbolino I.Garzia P.T.Ge Z.W.Ge C.Geng E.M.Gersabeck B.ding X.X.ding Y.ding Y.ding j.dong L.Y.dong M.Y.dong X.dong M.C.du S.X.du Z.H.duan P.Egorov Y.H.Fan j.Fang jA.Gilman K.Goetzen L.Gong W.X.Gong W.Gradl S.Gramigna M.Greco M.H.Gu Y.T.Gu C.Y.Guan Z.L.Guan A.Q.Guo L.B.Guo M.j.Guo R.P.Guo Y.P.Guo A.Guskov j.Gutierrez K.L.Han T.T.Han X.Q.Hao F.A.Harris K.K.He K.L.He F.H.Heinsius C.H.Heinz Y.K.Heng C.Herold T.Holtmann P.C.Hong G.Y.Hou X.T.Hou Y.R.Hou Z.L.Hou B.Y.Hu H.M.Hu j.F.Hu T.Hu Y.Hu G.S.Huang K.X.Huang L.Q.Huang X.T.Huang Y.P.Huang T.Hussain F.H\"olzken N.H\"usken N.in der Wiesche M.Irshad j.jackson S.janchiv j.H.jeong Q.ji Q.P.ji W.ji X.B.ji X.L.ji Y.Y.ji X.Q.jia Z.K.jia d.jiang H.B.jiang P.C.jiang S.S.jiang T.j.jiang X.S.jiang Y.jiang j.B.jiao j.K.jiao Z.jiao S.jin Y.jin M.Q.jing X.M.jing T.johansson S.Kabana N.Kalantar-Nayestanaki X.L.Kang X.S.Kang M.Kavatsyuk B.C.Ke V.Khachatryan A.Khoukaz R.Kiuchi O.B.Kolcu B.Kopf M.Kuessner X.Kui A.Kupsc W.K\"uhn j.j.Lane P.Larin L.Lavezzi T.T.Lei Z.H.Lei H.Leithoff M.Lellmann T.Lenz C.Li C.Li C.H.Li Cheng Li d.M.Li F.Li G.Li H.Li H.B.Li H.j.Li H.N.Li hui Li j.R.Li j.S.Li K.Li L.j.Li L.K.Li Lei Li M.H.Li P.R.Li Q.M.Li Q.X.Li R.Li S.X.Li T.Li W.d.Li W.G.Li X.Li X.H.Li X.L.Li X.Y.Li Y Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China Beihang University Beijing 100191China Bochum Ruhr-University D-44780 BochumGermany Budker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia Carnegie Mellon University PittsburghPennsylvania 15213USA Central China Normal University Wuhan 430079China Central South University Changsha 410083China China Center of Advanced Science and Technology Beijing 100190China China University of Geosciences Wuhan 430074China Chung-Ang University Seoul06974Republic of Korea COMSATS University Islamabad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan University Shanghai 200433China GSI Helmholtzcentre for Heavy Ion Research GmbH D-64291 DarmstadtGermany Guangxi Normal University Guilin 541004China Guangxi University Nanning 530004China Hangzhou Normal University Hangzhou 310036China Hebei University Baoding 071002China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan Normal University Xinxiang 453007China Henan University Kaifeng 475004China Henan University of Science and Technology Luoyang 471003China Henan University of Technology Zhengzhou 450001China Huangshan College Huangshan 245000China Hunan Normal University Changsha 410081China Hunan University Changsha 410082China Indian Institute of Technology Madras Chennai 600036India Indiana University BloomingtonIndiana 47405USA INFN Laboratori Nazionali di Frascati INFN Laboratori Nazionali di FrascatiI-00044FrascatiItaly INFN Laboratori Nazionali di Frascati INFN Sezione di PerugiaI-06100PerugiaItaly INFN Laboratori Nazionali di Frascati University of PerugiaI-06100PerugiaItaly INFN Sezione di Ferrara INFN Sezione di FerraraI-44122FerraraItaly INFN Sezione di Ferrara University of FerraraI-44122FerraraItaly Inner Mongolia University Hohhot 010021China Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Avenue 54BUlaanbaatar 13330Mongolia Instituto de A

Using e^(+)e^(−)annihilation data corresponding to an integrated luminosity of 2.93 fb^(−1)taken at the center-of-mass energy√s=3.773 GeV with the BESIII detector,a joint amplitude analysis is performed on the decays d^(0)→π^(+)π^(−)π^(+)π^(−)and d^(0)→π^(+)π^(−)π^(0)π^(0)(non-η).The fit fractions of individual components are obtained,and large interferences among the dominant components of the decays d^(0)→a_(1)(1260)π,d^(0)→π(1300)π,d^(0)→ρ(770)ρ(770),and d^(0)→2(ππ)_(S)are observed in both *** the obtained amplitude model,the CP-even fractions of d^(0)→π^(+)π^(−)π^(+)π^(−)and d^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are determined to be(75.2±1.1_(stat).±1.5_(syst.))%and(68.9±1.5_(stat).±2.4_(syst.))%,*** branching fractions of d^(0)→π^(+)π^(−)π^(+)π^(−)and d^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are measured to be(0.688±0.010_(stat.)±0.010_(syst.))%and(0.951±0.025_(stat.)±0.021_(syst.))%,*** amplitude analysis provides an important model for the binning strategy in measuring the strong phase parameters of d^(0)→4πwhen used to determine the CKM angleγ(ϕ_(3))via the B^(−)→dK^(−)decay.

关键词： BESIII d^(0)meson decays amplitude analysis CP-even fraction

Synthesis and antiviral activities of novel 1,4-pentadien-3-one derivatives bearing an emodin moiety

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Chinese Chemical Letters 2016年第6期27卷 948-952页

作者： jian Wu yun-Ying Zhu Yong-hui zhao Wei-Li Shan de-Yu Hu ji-Xiang Chen deng-Yue liu Xiang-Yang Li Song Yang State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering Key Laboratory of Green Pesticide and Agricultural BioengineeringMinistry of Education Research and Development Center for Fine Chemicals Guizhou University School of Chemical Engineering Guizhou Institute of Technology Institute for the Control of Agrochemicals Ministry of Agriculture

A series of 1,5-diaryl-1,4-pentadien-3-one derivatives bearing an emodin group were designed and synthesized by the combination of natural products. The antiviral activities against tobacco mosaic virus（TMV） and cucumber mosaic virus（CMV） in vivo were evaluated. Some of the derivatives displayed promising curative effect and protective activity against TMV. Compound d5 showed appreciable curative bioactivity on TMV approximately of 50% at 306.2 mg/m L, which was superior to ningnanmycin（409.3 mg/m L）.

关键词： 1 4-Pentadien-3-one derivatives Emodin Synthesis Antiviral activity

determination of the number ofψ(3686)events taken at BESⅢ

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Chinese Physics C 2024年第9期48卷 8-20页

作者： M.Ablikim M.N.Achasov P.Adlarson O.Afedulidis X.C.Ai R.Aliberti A.Amoroso Q.An Y.Bai O.Bakina I.Balossino Y.Ban H.-R.Bao V.Batozskaya K.Begzsuren N.Berger M.Berlowski M.Bertani d.Bettoni F.Bianchi E.Bianco A.Bortone I.Boyko R.A.Briere A.Brueggemann H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin j.F.Chang G.R.Che G.Chelkov C.Chen C.H.Chen Chao Chen G.Chen H.S.Chen H.Y.Chen M.L.Chen S.j.Chen S.L.Chen S.M.Chen T.Chen X.R.Chen X.T.Chen Y.B.Chen Y.Q.Chen Z.j.Chen Z.Y.Chen S.K.Choi G.Cibinetto F.Cossio j.j.Cui H.L.dai j.P.dai A.dbeyssi R.E.de Boer d.dedovich C.Q.deng Z.Y.deng A.denig I.denysenko M.destefanis F.de Mori B.ding X.X.ding Y.ding Y.ding j.dong L.Y.dong M.Y.dong X.dong M.C.du S.X.du Y.Y.duan Z.H.duan P.Egorov Y.H.Fan j.Fang j.Fang S.S.Fang W.X.Fang Y.Fang Y.Q.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng j.H.Feng Y.T.Feng M.Fritsch C.d.Fu j.L.Fu Y.W.Fu H.Gao X.B.Gao Y.N.Gao Yang Gao S.Garbolino I.Garzia L.Ge P.T.Ge Z.W.Ge C.Geng E.M.Gersabeck A.Gilman K.Goetzen L.Gong W.X.Gong W.Gradl S.Gramigna M.Greco M.H.Gu Y.T.Gu C.Y.Guan Z.L.Guan A.Q.Guo L.B.Guo M.j.Guo R.P.Guo Y.P.Guo A.Guskov j.Gutierrez K.L.Han T.T.Han F.Hanisch X.Q.Hao F.A.Harris K.K.He K.L.He F.H.Heinsius C.H.Heinz Y.K.Heng C.Herold T.Holtmann P.C.Hong G.Y.Hou X.T.Hou Y.R.Hou Z.L.Hou B.Y.Hu H.M.Hu j.F.Hu S.L.Hu T.Hu Y.Hu G.S.Huang K.X.Huang L.Q.Huang X.T.Huang Y.P.Huang T.Hussain F.Hölzken N.Hüsken N.in der Wiesche j.jackson S.janchiv j.H.jeong Q.ji Q.P.ji W.ji X.B.ji X.L.ji Y.Y.ji X.Q.jia Z.K.jia d.jiang H.B.jiang P.C.jiang S.S.jiang T.j.jiang X.S.jiang Y.jiang j.B.jiao j.K.jiao Z.jiao S.jin Y.jin M.Q.jing X.M.jing T.johansson S.Kabana N.Kalantar-Nayestanaki X.L.Kang X.S.Kang M.Kavatsyuk B.C.Ke V.Khachatryan A.Khoukaz R.Kiuchi O.B.Kolcu B.Kopf M.Kuessner X.Kui N.Kumar A.Kupsc W.Kühn j.j.Lane P.Larin L.Lavezzi T.T.Lei Z.H.Lei M.Lellmann T.Lenz C.Li C.Li C.H.Li Cheng Li d.M.Li F.Li G.Li H.B.Li H.j.Li H.N.Li hui Li j.R.Li j.S.Li Ke Li L.j.Li L.K.Li Lei Li M.H.Li P.R.Li Q.M.Li Q.X.Li R.Li S.X.Li T.Li W.d.Li W.G.Li X.Li X.H.Li X.L.Li X.Z.Li Xi Institute of High Energy Physics Beijing 100049China Beihang University Beijing 100191China Bochum Ruhr-University D-44780BochumGermany Budker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia Carnegie Mellon University PittsburghPennsylvania 15213USA Central China Normal University Wuhan 430079China Central South University Changsha 410083China China Center of Advanced Science and Technology Beijing 100190China China University of Geosciences Wuhan 430074China Chung-Ang University Seoul06974Republic of Korea COMSATS University Islamabad Lahore CampusDefence RoadOff Raiwind Road54000LahorePakistan Fudan University Shanghai 200433China GSI Helmholtzcentre for Heavy Ion Research GmbH D-64291DarmstadtGermany Guangxi Normal University Guilin 541004China Guangxi University Nanning 530004China Hangzhou Normal University Hangzhou 310036China Hebei University Baoding 071002China Helmholtz Institute Mainz Staudinger Weg 18D-55099MainzGermany Henan Normal University Xinxiang 453007China Henan University Kaifeng 475004China Henan University of Science and Technology Luoyang 471003China Henan University of Technology Zhengzhou 450001China Huangshan College Huangshan 245000China Hunan Normal University Changsha 410081China Hunan University Changsha 410082China Indian Institute of Technology Madras Chennai 600036India Indiana University BloomingtonIndiana 47405USA INFN Laboratori Nazionali di Frascati (A)INFN Laboratori Nazionali di FrascatiI-00044FrascatiItaly(B)INFN Sezione di PerugiaI-06100PerugiaItaly(C)University of PerugiaI-06100PerugiaItaly INFN Sezione di Ferrara (A)INFN Sezione di FerraraI-44122FerraraItaly(B)University of FerraraI-44122FerraraItaly Inner Mongolia University Hohhot 010021China Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Avenue 54BUlaanbaatar 13330Mongolia Instituto de Alta Investigación Universidad de TarapacáCasilla 7DArica 1000000Chile jilin University Changchun 130012China joha

The number ofψ(3686)events collected by the BESⅢdetector during the 2021 run period is determined to be(2259.3±11.1)×10~6 by counting inclusiveψ(3686)hadronic *** uncertainty is systematic and the statistical uncertainty is ***,the numbers ofψ(3686)events collected during the 2009 and 2012run periods are updated to be(107.7±0.6)×10~6 and(345.4±2.6)×10~6,*** numbers are consistent with the previous measurements within one standard *** total number ofψ(3686)events in the three data samples is(2712.4±14.3)×10~6.

关键词： ψ(3686) inclusive process Hadronic events BESⅢdetector

Annual Frequency of Tropical Cyclones directly Affecting Guangdong Province:Prediction Based on LSTM-FC

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journal of Tropical Meteorology 2022年第1期28卷 45-56页

作者： HU Ya-min CHEN yun-zhu HE jian liu Sheng-jun YAN Wen-jie zhao Liang WANG Ming-sheng LI Zhi-hui WANG juan-huai dONG Shao-rou liu Xin-ru Guangdong Climate Center Guangzhou 510641 China School of Mathematics and Statistics Central South UniversityChangsha 410083 China State Key Laboratory of Numerical Modeling for Atmosphere Sciences and Geophysical Fluid dynamics(LASG) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029 China

Tropical cyclone(TC)annual frequency forecasting is significant for disaster prevention and mitigation in Guangdong *** on the NCEP-NCAR reanalysis and NOAA Extended Reconstructed global sea surface temperature(SST)V5 data in winter,the TC frequency climatic features and prediction models have been *** 1951-2019,353 TCs directly affected Guangdong with an annual average of about *** have experienced an abrupt change from abundance to deficiency in the mid to late 1980 with a slightly decreasing trend and a normal distribution.338 primary precursors are obtained from statistically significant correlation regions of SST,sea level pressure,1000hPa air temperature,850hPa specific humidity,500hPa geopotential height and zonal wind shear in *** those 338 primary factors are reduced into 19 independent predictors by principal component analysis(PCA).Furthermore,the Multiple Linear Regression(MLR),the Gaussian Process Regression(GPR)and the Long Short-term Memory Networks and Fully Connected Layers(LSTM-FC)models are constructed relying on the above 19 *** three different kinds of test sets from 2010 to 2019,2011 to 2019 and 2010 to 2019,the root mean square errors(RMSEs)of MLR,GPR and LSTM-FC between prediction and observations fluctuate within the range of 1.05-2.45,1.00-1.93 and 0.71-0.95 as well as the average absolute errors(AAEs)0.88-1.0,0.75-1.36 and 0.50-0.70,*** for the 2010-2019 experiment,the mean deviations of the three model outputs from the observation are 0.89,0.78 and 0.56,together with the average evaluation scores 82.22,84.44 and 88.89,*** prediction skill comparisons unveil that LSTM-FC model has a better performance than MLR and *** conclusion,the deep learning model of LSTM-FC may shed light on improving the accuracy of short-term climate prediction about TC *** current research can provide experience on the development of deep learning in this field and help to achieve furthe

关键词： tropical cyclone frequency long short-term memory network fully connected layers Gaussian process regression multiple linear regression

Chronic oleoylethanolamide treatment attenuates diabetes-induced mice encephalopathyby activating peroxisome proliferator-activatedreceptor alpha in hippocampus

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中国药理学与毒理学杂志 2018年第9期32卷 680-681页

作者： REN Tong liu jin-feng ZHUO Ren-gong XU Lan-xi ZHANG Yi-jiao ZHANG hui-jun PENG Lu CHEN Cai-xia ZHOU Yu zhao yun LI Wen-jun LI Ying jIN Xin YANG Li-chao Medical College Xiamen University Xiamen 361102 China Xiamen Hospital of Traditional Chinese Medicine Xiamen 361102 China Xiamen Medical College Xiamen 361000 China

OBjECTIVE Oleoylethanolamide(OEA) is an endogenous peroxisome proliferatoractivated receptor alpha(PPARα) agonist that acts on the peripheral control of energy *** studies have shown that OEA exerts neuroprotection after cerebral ***,whether OEA affects the outcomes of diabetes-induced encephalopathy(dE) requires further *** The chronic effects of OEA on dE were evaluated in C57BL/6 and PPARαknockout mice,*** cognitive function was assessed with Morris water *** expression of receptor for advanced glycation end products(RAGE) and phosphorylation of Tau in mice hippocampus were determined using Western *** influence of OEA in neuron loss and neuroplasticity were assessed with immunofluorescent staining and Western *** OEA markedly ameliorated performance in the Morris water maze,which was correlated with its capabilities of suppressing glycometabolism and phosphorylation of Tau in the *** offered protection from diabetes-induced impairments in hippocampal ***,the changes in Morris water maze performance and neuron loss could not be observed in PPARα knockout mouse models with OEA *** The ability of OEA to control PPARα signaling can serve as a novel neuroprotective approach for the treatment of diabetes-induced encephalopathy.

关键词： oleoylethanolamide diabeticencephalopathy spatial cognitive function neuroprotection peroxisome proliferator-activated receptor alpha

铁素体-贝氏体双相钢韧性断裂过程中的夹杂物临界尺寸及孔洞生长

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金属学报 2023年第5期59卷 611-622页

作者：赵亚峰刘苏杰陈云马会马广财郭翼中国科学院金属研究所、沈阳材料科学国家研究中心沈阳110016 东北大学材料科学与工程学院沈阳110819 中国科学院金属研究所沈阳110016

利用多模态关联成像方法研究了铁素体-贝氏体双相钢韧性断裂过程中局部微结构对孔洞生长的影响。首先使用X射线CT成像技术,从宏观层面量化分析了变形过程中孔洞的生长,并定位典型孔洞的空间坐标。之后对选定的目标孔洞,采用等离子体聚... 详细信息

利用多模态关联成像方法研究了铁素体-贝氏体双相钢韧性断裂过程中局部微结构对孔洞生长的影响。首先使用X射线CT成像技术,从宏观层面量化分析了变形过程中孔洞的生长,并定位典型孔洞的空间坐标。之后对选定的目标孔洞,采用等离子体聚焦离子束(PFIB)进行连续切片三维电子背散射衍射(3d-EBSd)扫描成像,从介观层面研究孔洞周围微观组织对孔洞形核与生长的影响。结果显示,夹杂物周围和贝氏体中均有孔洞形成。尽管有时促使大尺寸孔洞生长的应变比小尺寸孔洞处的应变更小,但相比于在小尺寸夹杂物或贝氏体中形核的孔洞,大尺寸夹杂物导致的孔洞体积更大。进一步对孔洞周围的位错密度研究显示,上述现象可能是由于不同尺寸的夹杂物周围应变梯度不同造成的。孔洞周围的位错密度与诱发孔洞的夹杂物尺寸成反比,存在明显的尺寸效应,表明影响孔洞生长的夹杂物存在一个临界尺寸。利用解析理论模型推测出夹杂物临界尺寸范围为1.85~2.86μm,小于该临界尺寸的夹杂物诱发的孔洞,由于局部变形梯度效应,位错塞积会阻碍孔洞的生长。孔洞的生长是非均匀的且其形状表现出各向异性,孔洞生长形貌与周围晶粒的可变形性相关,可用晶粒尺寸加权的Schmid因子描述。

关键词：铁素体-贝氏体双相钢孔洞形核与生长 3d-EBSd XCT 尺寸效应

A brain structural connectivity biomarker for autism spectrum disorder diagnosis in early childhood

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Psychoradiology 2023年第1期3卷 171-181页

作者： Xi jiang Xiao-jing Shou Zhongbo zhao Yuzhong Chen Fan-Chao Meng jiao Le Tian-jia Song Xin-jie Xu Weitong Guo Xiaoyan Ke Xiao-E Cai Weihua zhao juan Kou Ran Huo Ying liu hui-Shu Yuan Yan Xing ji-Sheng Han Song-Ping Han yun Li Hua Lai Lan Zhang Mei-Xiang jia jing liu Xuan liu Keith M.Kendrick Rong Zhang The Clinical Hospital of Chengdu Brain Science Institute MOE Key Lab for NeuroinformationSchool of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengdu 611731China Neuroscience Research Institute Key Laboratory for NeuroscienceMinistry of Education of ChinaKey Laboratory for NeuroscienceNational Committee of Health and Family Planning of ChinaDepartment of NeurobiologySchool of Basic Medical SciencesPeking UniversityBeijing 100191China State Key Laboratory of Cognitive Neuroscience and Leamning Beijing Key Laboratory of Brain Imaging and Connectomicsand IDG/McGovermn Institute for Brain ResearchBeijing Normal UniversityBeijng 100875China Chengdu Women's and Children's Central Hospital School of MedicineUniversity of Electronic Science and Technology of ChinaChengdu 611731China Child Mental Health Research Center Nanjing Brain Hospital Affliated of Nanjing Medical UniversityNanjing 210029China Radiology department Peking University Third HospitalBeijing 100191China department of Pediatrics Peking University Third HospitalBeijing 100191China Wuxi Shenpingxintai Medical Technology Co LtdWuxi 214091China Mental Health Institute Peking UniversityKey Laboratory of Ministry of HealthThe Ministry of Public HealthBeijing 100191China Shandong Ke Luo Ni Ke(CLINIC)Medical Technology Co LtdDezhou 253011China Autism Research Center of Peking University Health Science Center Beiing 100191China department of Integration of Chinese and Western Medicine School of Basic Medical SciencesPeking University100191BeijingChina

Background:Autism spectrum disorder(ASd)is associated with altered brain development,but it is unclear which specific structural changes may serve as potential diagnostic markers,particularly in young children at the age when symptoms become fully ***,such brain markers need to meet the requirements of precision medicine and be accurate in aiding diagnosis at an individual rather than only a group ***:This study aimed to identify and model brain-wide differences in structural connectivity using diffusion tensor imaging(dTI)in young ASd and typically developing(Td)***:A discovery cohort including 93 ASd and 26 Td children and two independent validation cohorts including 12 ASd and 9 Td children from three different cities in China were ***-wide(294 regions)structural connectivity was measured using dTI(fractional anisotropy,FA)together with symptom severity and cognitive development.A connection matrix was constructed for each child for comparisons between ASd and Td *** classification was performed on the discovery dataset and the resulting model was tested on the two independent validation ***:Thirty-three structural connections showed increased FA in ASd compared to Td children and associated with both autistic symptom severity and impaired general cognitive *** majority(29/33)involved the frontal lobe and comprised five different networks with functional relevance to default mode,motor control,social recognition,language and ***,clas-sification achieved very high accuracy of 96.77%in the discovery dataset,and 91.67%and 88.89%in the two independent validation ***:Identified structural connectivity differences primarily involving the frontal cortex can very accurately distinguish novel individual ASd from Td children and may therefore represent a robust early brain biomarker which can address the requirements of precision medicine.

关键词： autism spectrum disorder diffusion tensor imaging fractional anisotropy brain structural connectivity individual diag-nosis early childhood