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Optimal Liquidation Strategy of Multi-assets Based on Minimum Loss Probability. J. Syst. Sci. Syst. Eng. (2020).  8 2020.07.15$xvzuOoR;N-^St^RǏ 0R 2018~UxXuZQ/e萣[ OYXT1R Jia, C., Zhou, T., & Li, H. (2020). Statistical characteristics of price impact in high-frequency trading, Studies in Nonlinear Dynamics & Econometrics (published online ahead of print 2020), 20180067. 2020.06.01,Studies in Nonlinear Dynamics & EconometricsSSCI;Nc2019-2020t^|~yf[f[bt^O0R 2020t^2g29  2020t^7g4e bxvzuOf[/goR;N-^1R 2020t^7g5eN bxvzuO;N-^ 0R 2019t^12g7e SR_lς^'Yf[leefNb ,{NgbS* bN;N0R >lg 201821250018Jia, Zelin, and Y. Li . "Local modulation of Neurofilament transport at Nodes of Ranvier." Biomedical Physics & Engineering Express (2020). 2020.08.27)Biomedical Physics & Engineering Express *gh"}|~ vvVYck_g Rty )2019t^11g 2019'Yf[usYP[NN6Rt&h[sYP[YN~ ,{mQ T0R ΐ=N 201821250019Aΐ=N,HnNS,Ng\ . 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Evolutionary Game Model Considering Consumers Environmental Protection Moral and Market ClearingX2019 International Conference on Computer Modeling, Simulation and Algorithm (CMSA2019) OeƖ[C]2019-2020f[t^bN|~yf[f[bct>y>y1R NS 201931250002Lv,g(NoS 0ёZSȉ 0 vQNck_Shvf[/ge" 0:ghVN 0Bg_>y;NRv zz-N:ghVN (W~[Wv^ZP30RbJT0R 2019 ~ZSXss2R D2019t^bxvzuOoR;N-^St^RǏ 0R T"kZfO;NcN0R b{tbXT 2019t^xvzufgogk[NQeV N&{0R "V;`/e[ OYXT Nf[g 1R 2019~UxXs~O0R v fs^!h:SNP[hk[ NI{VY !h~ 2019101R fs^!h:S{t[ NI{VY !h~1R 201911 SN^'Yf[OyxvzuRYe2018-2019f[t^ 0R SN^'Yf[|~yf[f[bxOf[/goR;N-^2020.07N 0R CV;`/eoRfNSt^RǏ 0R >yVSt^RǏ 0R -NNSNlqQTVbz 70hTt^^]y'YO Ny_?a gR;mRSt^RǏ 0R ZQ/e~~YXT1R 18~UxXss2R ZQ/eu;mYXT1R R]Rf[Oy*NN1R 2019-2020f[t^19~UxXZQ/efN2R 2020-2021f[t^|~yf[f[bxvzuOV;`/eoRfN0R 2020-2021f[t^t>y>y0R ~~v^SN N_R_0brO}T |R;mR_?a gR;mR nkb!hVRf0R SR ؚ!hf[uZQ/efNQ~W:ys [b30f[e45R/f[e 0R 2019 NS:Nog ,{ASmQJ\-NVxvzupef[^!jz[ V[~NI{VY NS:NNyVY  5R  b:Nf[b SU\ ^.sV{*NNNI{VY0R |~yf[f[bt^Okt[ 7uP[~NQ0R ؚI{ؚ!h2019~ctT[sYP[YN~,{mQ T0R ,2020.9.1-2021.8.31 xvzuf[NVYf[ё3ubg3ubyx`Q [8h~g\Oc TJCRR:S-NybR:Sg R[~Cg͑g RR

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YBg|~N YBg'`yf[,2021,18(02):1-8+88.CSCD CSCD C{|BI  _&O,Ng8l[,4TTf.~6RwƋHrV:(W~wƋRN|~vwƋOS Tg^[J].eN Odxvz,2021,28(01):52-70+127.CSSCI  eN Odxvz PKU, CSSCI, CJCR C{|S'Y8h_ K _&O,Rh,Ng8l[.-NVq_ƉgRwmY>yOSZSO Od!j_Rg:N 0^y;eeu 0:NO[J].hQt OZf[ R,2020,7(04):39-58.(CSSCIib)hQt OZf[ RW \S, 4TTf, Ng8l[, I{. >yOZSOpencqRveQpu` Od{[J]. -NVN]zff[O, 2021, 11(8): 11 16.,{N\O N/fS^'Y NRR D EH -NVN]zff[O,{N\OUSMO N/fS^'Y NRRTNS8+Y 201931250013N2019t^^_U\N{|`~v_tf[NN{|f[aINxvz 2021t^fg MRgtW@xnbq Bncdkrz_U\uirzf{lxvz v^]^z'Y!jW0}\*gShe FOdky]\OvMR@bU\s_tf[VofNNd c:yN`~CN/fuirzf{lvϑQpe (WN{|S_NNmvS͑g:ghOS TR/ЏRc6R|~Nel 2021.8.20N)RSgqf[/gyRۏLRR Hongbing Xia, ***, Jiaxu Hou, ***, Sliding mode-based online fault compensation control for a class of nonlinear systems through adaptive dynamic programming, 2021 Chinese System Science Conference (CSSC), Nanjing, China, 2021.CSSCHl 201931250011ُNt^^vyx]\O;N/f(W:ghVf[`NWvVPub!jWeT N cQNev!jWNelegub*O vVP v^S_}Yv[~g0vMR]\O؏(WtetN9eۏ-N \*gb?z0(Wyx;mReb fY!ke,Tf[bv_>e~O Q-^2020t^f[b~~vUxZS[W v^SNN2019~ZSXs YBg|~f[yNSf[/g[W (W[W NZPNbJT00.5 SNV6q͑pyv # Zb-s[ Q~ؚ6 OdvvsQxvz ;Nc!h~Wёyv ;N[bYB\Q~N~Nm YBg'`xvz z)R~Oyyv 5 f[/gO\~bJThQV~irtN YBg|~0-NV|~yf['YO4 f[/gbgSh~ez1{ SCIc6eez1{ vQNf[bJ\UxZS[WbJTv^_gsObJTVY1 N4T[g, ***, **. The robustness of interdependent directed networks with intra-layer angular correlations[J]. Frontiers in Physics, 2021. (SCI JCRR:S-Q2, -NybR:S-3:S ]c6e) 勇ez(WQ~QUO~gvƉ҉ N N[pencN:g6R!jW$N*N~^ NB\QQUOvsQ'`NYB\Q~h'`KNvsQ|0 0Ssp10\vNOX[v gTQ~L]eQSfzz-N zzPWhX[(W:_vNckvvsQ'`{y:N B\QQUOvsQ'` 0 0Ssp20B\QQUOvsQ'`O4xOWvNOX[ gTQ~vh'` Te@wB\QQUOvsQ'`vMNO vNOX[ gTQ~vh'`OX:_0A4T[g,rXY, j[t. YB\Q~v~gNRxvzۏU\[J]. 5uP[yb'Yf[f[b, 2021, 50(01): 106-120. 5uP[yb'Yf[f[bEI EI, PKU, CJCR, CSCD OeA5f[bJ\UxZS[WbJTv^_gsObJT&YB\Q~'YpencƉ҉ NReNzNRqRv~NmX^!j0KmS:gtxvz!h~ 4T[g, rXY, j[t. The robustness of interdependent directed networks with intra-layer angular correlations[J]. Frontiers in Physics, 2021.https://doi.org/10.3389/fphy.2021.755567 9hncf[NVYf[ёċVYRl kNt^~f[uSN_wQvsQf (W,gt^^Sċ0 5SCI Q2-NybR:S-3:S4l[ 201931250008SR|~yf['YOT~irtN YBg|~fgf[!h0]ShN{gGaw w^y~Q~ƖSORRf[L:N0,{N{:g zޏc(WgGaw wTn-NS%c\O(uQYb?z-N Ǐ{hQ@\^SϑSeg w(WnTaw weQ~ TekǏ!n:S+R0 TeNHH^y~Q~v TekÍxvzۏLk SsN[Nv_ TN ۏNek[Uuir^y~Q~v TekvSxvz0cShuihan Qiu, Zengru Di*, Random long-range connections play a key role in Drosophila sleep and wake Shuihan Qiu, Kaijia Sun and Zengru Di *, Collective Dynamics of Neural Networks With Sleep-Related Biological Drives in Drosophila, Frontiers in Computational Neuroscience, 2021, Vol.15, p.616193-616193.https://w< ww.frontiersin.org/articles/10.3389/fncom.2021.616193/full'2021.5.3'Frontiers in Computational NeuroscienceQ2/Q3 SCIE, ;Sf[4:SNg 201931250007 ,gN(WяNt^QygSNf[/g;mR, ;NSb~QkhTR+R>NLN!kv,g_>e~O Tswm_>e~O ygGlb]\OۏU\v^N'Y[NAmWMRl]\O0(WُNf[t^-N NN\OSheN{ NN\OSheN{ Nh\OvMRck(WN[r` ؏ gN*N\ ]\OYNQYb?z6k0SY ,gNygSNVQf[/gNAm;mR OY|~yf['YOI{02021t^5gSR|~yf['YOv^ۏLposterU\:y',gN(WُNf[t^QvNh\O:N: Characterizing the reputation of evaluators using vectors in the object feature space. vMRYNN[r`0,gbge(W(uTϑeg;R;uċNvX Џ (u YBgQ~velg^NċN|~-N[ċNvOċ0Oel0勹el NNY9hnc[av{|+R:Nk*NċN~QNNvXTϑ Te_N:N[aRMS fvQ(ϑvN 2{tet-N<  l NAmETH lQ>mTW l vQNfNODeep learning SR2021t^|~yf[f[bf[/gt^O posterU\:y0 2021t^5gSR|~yf['YO posterU\:y0 2021t^7gSRhQV~irtN YBg|~'YO S4YbJT0 |~yf['YO_gsO _4eVYNI{VY 0676767673 Lingbo Li , ***, An Zeng*, and Zengru Di. Understanding the anti-contagion process and reopening of China in COVID-19 via coevolution network of epidemic and awareness [J]. Complexity, 2021. (JCR2020) Q1/Q2, https://www.hindawi.com/journals/complexity/2021/6623427/yxyvWNOS ToS OdQ~vu`2cN~Nmb` YV{euxvz SN^'Yf[ZQYf[u]\O萫u`2cf[uNyxvzyv!h~yvLingbo Li , Ying Fan , An Zeng , and Zengru Di. Understanding the anti-contagion process and reopening of China in COVID-19 via coevolution network of epidemic and awareness [J]. 2021.5.11 SCIE, ] zb/g3:SY[z` V 201731250001 ُNt^-N;NۏLN CCEPg^6wSޏc NS WN6wSRv(uw!jW $N*N]\O0 2020t^9gSNN,{NJ\fNO x deep learning NfN v^_Oy*NN0 2020t^10gb?zv^SNN ,{NJ\ CAAE 5uVN^y~5uut'YO b?ze_Ne NI{VY;`VYekO:N10:300 v^(WO NۏLbJTU\:y0 2021t^5gSR |~yf['YO ۏLposterU\:y0( 6wSv gTޏcSQYO]_ vMRb?zN ,{]NJ\ CAAE VEkvu[W 0 Kaijia Sun, Haixiang Wang, Yunxian Bai, Wenjing Zhou and Liang Wang. MRIES: A Matlab Toolbox for Mapping the Responses to Intracranial Electrical Stimulation. 9C 2021.6.14 Frontiers in Neuroscience SCIE, ;Sf[2:S Shuihan Qiu, Kaijia Sun and Zengru Di.. Collective Dynamics of Neural Networks With Sleep-Related Biological Drives in Drosophila. % 2021.5.30( Frontiers in Computational Neuroscience]؞e 201921250030ُNt^KNQ;NۏLv]\O:NxvzNeQ\O vMR]S_Rekbg0S_MR:NǏ 0Il틹e0WVƖ 0vpencۏLϑSeleR:S ]S_ gNyO NvNSyNW^~NmSU\RS`Q _T{_f[b Oy ċN 20 6eƖtet-N0e0'kI{VvNS0GDP I{[‰penc ~TVS z^NW^RS `Q xvzNS NGSTNS NMv0W:S-NW^RS]_ 30 ^lۏLf[/gNAm Y!kSNNS|~NAmO0_>e~O ygNVQؚ!hYe^NAm 40 ,gf[t^|Y{NS0Y;NSO^!jvsQe.s -d^[UY;NSOy!jW v^][bv sQ~010*NNyx 1 WNё:ggQ~v|~'`Θi!jbN^[xvz;N#!jW-d^0!jb0ed QI{ 2 VQ5uP[FUR gPlQSΘichϑSxvz *jTyv Ng~R;N#g^Θic hSO|0dQyvbJTI{ 20f[/g;mR SNf[bUxZS[W0|~WLhOI{ \O:N~QNhN'Y[[ё] zxvzWۏLc ygNAmeeT  0WNё:ggQ~v|~'`Θi!jbN^[xvz 0 ;NxvzQ[  ;Ng^ё:ggQ~~g0DN:P~gNSё|~ЏL :g6R v^ cgq!jWĉR(u MATLAB !jbQё|~'`ΘivoSǏ z [Θieg nON:PCgDNݏ~s0X[>klRs 0Θi OdRbNibce 0Θiv{ch ce\O(u0Θi.YLQeRce\O(uۏLcvz N[s[ё|~'`Θiv20S cQ[('`^0 *NN!.s  (W^vc[ Nrz#e.sdƖtet0!jW-d^!jb0edQI{ ]\O0sf܏ 201921250023bS`N 201921250022_>e~O khTSNQ~~SZS_~~O ۏLf[/g0e.sRNSۏU\NAmI{0 f[/gۏU\ 10[bUxX_ 20tetRgKNMRvyx~g %eQ0O9ee_Sh  30OSR^DQ^YNyx;mRYSNyxe0g~byxe.sI{  40.^RvQN Tf[yx;mRYQՋ[Nx0~~ZS_[I{ ;*NN!.s[0[d\O0pencYt0edQv(W^c[ N;N[b0 VN(WO9e\*gSh Ee NDe\O:N/edPge REu 201921250021 1 SN ASVN up;mQV{yv WN'Y:\^{|^y~Q~vup;mQV{!jbxvz V[~ 2021t^4g-N WN'Y:\^^y~Q~v^teKmՋxvz 2 SNV[6qyf[Wёb Nyv-'Y:\^Y:S^y~Q~!jWxvz V[~ 2019t^-N 'YvB\:SOS Ovc 3 Y!kSNf[/gO Y-NV{Nw^y~yf[OI{ |~yf['YO \OS4YbJT 0'YvB\:SOo` Ovc 0 e2021t^5g22e3(vThe modulation of external stimulus on the signal propagation in large scale brain network XdUnderstanding the mechanism underlying the signal propagation in the brain is crucial. Here we investigated the effect of the connectivity of macroscale brain network on the signal propagation. We first found that monkey brain network C29x29 can be classified into five communities. We then investigated the effect of activation in one area on other areas and found that areas have stronger output weight have stronger influence on other areas. We further investigated the modulation of one stimulus in one area < on the signal propagation from visual primary cortex. We found that the signal propagation from V1 to higher hierarchical area can be enhanced if we presented addition stimulus to area which has specific topologic position in the network. Our results indicate external stimulus on specific area of our brain may channge our performance.NgWk 201921250020`f[/gbg f[/geGumbel-softmax-based optimization: a simple general framework for optimization problems on graphsN\O SSfN)RWNGumbel-softmaxb/gv~TOSel f[/gNAm 2020ƖzfQΘx%]\ObJTSe 2020'Ylalgc6Rb,gHevNhċ0Of[/gxO(ABaCAS 2020) S4YbJT 2021 YBg|~ N`%S4YbJT yv S5uzvhƋ+Ryvm[ #6R\OpencƖ0!jW[sS~gGl;`#N]SfNS f[/gbJTABaCAS2020'YpencNN]zf(W'YlsXv^(uRO:W f[/gbJTPM2.5-GNNTWwƋvWNV^y~Q~vPM2.5Kmel f[/geGumbel-softmax-based optimization: a simple general framework for optimization problems on graphs *NN!.sv^[sez8h_{lGSONEvoGSO [bez;NՋ [bezdQ]\O0R Yaoxin Li et alYaoxin Li, Jing Liu, Guozheng Lin, Yueyuan Hou, Muyun Mou and Jiang Zhang* . Gumbel-softmax-based optimization: a simple general framework for optimization problems on graphs[J]. Computational Social Networks, 2021, 8 : 1-16.Gumbel-softmax-based optimization: a simple general framework for optimization problems on graphsNZComputational Social Networks1SfN)RWNGumbel-softmaxb/gv~TOSel3uS2020104538589 Ngklb 201921250019f[/g;mR 2021.05 SR|~yf['YO 2021.04 SRQYybYxO 2020.12 SRUxZS[W f[/gbg eNbQb~^(u7bL:Nv9eۏcP0JCR Q2g RPhysica Aft^RSh /fdN T[^Y/UN\O0 yxyvxvz!j_cvz0e][b ckb?zSSCIg RScientometrics SNyvċ[N[^OSNeEQ[U0SNWёYyv 2021.4w bbzy0{lI{]\O0SR|~yf['YOZPwmbU\:yRLI H, ZENG A. Improving recommendation by connecting user behavior in temporal and topological dimensions[J]. Physica A: Statistical Mechanics and its Applications, 2022, 585: 126378. https://doi.org/10.1016/j.physa.2021.126378. SR'`Ǐcvz(W~(u7bL:N!j_ [s gcP{lۏL9eۏ v^xvzN{l|nx^N YBg^vCgaS 0 \N2022t^1gck_Sh *NN!.se.sx0cQel0{0edQNO9eI{0[^c[ N*NNrz[bve0R NgIlN*,u\l,ss,Ngklb.-NVS:SW]_TSSRKm[J].~NQV{,2021,37(03):71-75. 0S'Y8h_0CSSCIg R0(1.67')~NQV{ s\ 201921250018(W2020t^9g2021t^8g SN~Qf[/gx ۏLe.sNU\:y ;NVSb YBgQ~(Wu;m-Nv^(u0 YBgQ~pef[!jWI{0 Te9hncNNvU\:y b]atQveTvsQe.s v^(W~O-Nc cGSꁫf[/g4ls^0 TeQYkN )R(u YBgQ~Rg(W~|~0SN2020t^|~yf['YOv^ZPsQN 0gSvNLuNSyQ~vSfyr'` 0v;NbJToSN[^yv 0 N&^N beu[-NVNSAmRvq_Txvz 0v^[byvRgDe/penc6eƖNRg0N&^N?eV{e,gRgeR?zI{She 0COVID-19u`2c>y:SvKmSc*v^͑ 0Z 0COVID-19u`2c>y:SvKmSc*v^͑ 0 ,ge'}ߍeN Ǐ^!j!jbve_QsNu` Od_S2cǏ zp ,gN#!jWv^z0Nxg^0pencRg0Vb_~6RI{]\O uP[#, Rel, ؚSf`, HnNS*. COVID-19u`2c>y:SvKmSc*v^͑[J]. YBg|~N YBg'`yf[, 2020, 17(4): 1-8. g RR:SCSCD chttp://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2020.04.001CSCD,eQtf=r 201921250015SNyxyvNo.2018AAA0100203 b(Wyv-N@bZPv/fWNT\\lSbcT*Of[`N{lvVPR{|]\O0(uNYt'Yϑpencv{W ev!jWvkSO(u*OxhV0nlhVbEmB\wSy^y~Q~ 0RvfQ\ BNU [yf[z[ NI{VY OSR~~fNO 0JT+R~vt^oۏ 0Image Recognition with Haar wavelet and Pseudoinverse Learning Algorithm based Autoencoders ُ{ezwQ gSR'` b/f,{N\O #[b!jW0_U\[TdQe0 zt 201921250014kN 0 NlQs^`X Nv#NibceHe^xvz 0N Oy b~_ \O:N~Q_>e~OT~N (WǏSvNt^-N#[c~Oe0WpS_>e~OvsQN[ SN~QfNO qQ T 0R{|pencv~el 0NfNv^RN__ OnckNxvzvv (W[^vc[ Nv^~~N$N:WvsQ[v^(W~QqQNpencRg~g0 06evBlTĉR NSOgTRrZS_v #Nibce He^xvz 0*gShVdk NDSe xvzelNaIN\ #Nibce v^(u:Wofib'Y NgTRrZS_:NW@xg NlQs^`X eEQNSO-NvNN[ꁫ NlQs^L:NV^vtxvz NSOB\b NۏNekvflQs^OP}Yvq_TV }0ё2m 201921250013mSNN ^y~Q~ꁨR~~NoSSt ]\O [bN{OeN\O _b?z N{EIOe]U_(u2021CIS N\O *gSh SRN2020CISO02020swm!h:S YBg|~MRl[W02021SNzfn'YO0} 0Kernel-Based Autoencoders for Large-Scale Representation Learning 0SR N\O XdA primary challenge in kernel-based representation learning comes from the massive data and the excess noise feature. To breakthrough this challenge, this paper investigates a deep stacked autoencoder framework, named improved kernelized pseudoinverse learning autoencoders (IKPILAE), which extracts representation information from each building blocks. The IKPILAE consists of two core modules. The first module is used to extract random features from large-scale training data by the approximate kernel method. The second module is a typical pseudoinverse learning algorithm. To diminish the tendency of overfitting in neural networks, a weight decay regularization term is added to the loss function to learn a more generalized representation. Through numerical experiments on benchmark dataset< , we demonstrate that IKPILAE outperforms state-of-art methods in the research of kernel-based representation learning. !.sTo solve the dilemma of large-scale kernel learning, we present the IKPILAE whose kernel matrix is approximated by random fourier features to accelerate the training computation. Meanwhile, the low-dimensional constraint elevates the performance of autoencoders in terms of representation learning. Through some numerical experiments, we demonstrate that our proposed method is a better choice than KPILAE.sS 201921250010f[/gNAmSNSNyf[N{|xvz-N_2021QN% v^ZP:N 0Ultrasensitive fluorescent proteins for imaging neuronal activity 0bJT0 SN,{1J\UxZS[W ZP:N 0Functional network reconstruction of V1 and PM in mouse using causal inference 0bJT _N[S cN f[/gKNf vyS0R(Wb 0Functional network reconstruction of V1 and PM in mouse using causal inference 0 ,{NJ\UxZS[WbJTُNt^-Nb[bN5{f[/gevdQ vQ-N1{](WSSCIg R NSh vQYOV{ckY(W[?zAm z-N0bޏ~$Nt^(Wf[b>NRvUxZS[W-N\O:N;NNۏLRN MR_WSNSRN,{NJ\|~yf['YOv^ۏLwmbU\:y0bSNNV[6qyf[Wё^%`{tyvyg hQbNi[ ?eV{ NW@xYeMn2017N ;N#NSKmebv]\O0NN\ONrzdQ 0Price Jumping Mechanism and Parameter Estimation Based on Filtered Poisson Process 0 \O:N[^ vMRYNSSCIg R[?zAm z-N0勇ezxvzv/fQÍ^we'`evёNNRvUxZS[W-N\O:N;NNۏLRNl܏T 201921250008|SN 0sQN$Nyr_v]\O_^y~:g6Rxvz 0 ]\ON[^T\OۏLSN|~yf['YO \OS4YbJT 0sQN$Nyr_v]\O_^y~:g6Rxvz 0 e2021t^5g22e T^pp0 SN,g!h_tf[V[͑p[[Nwyf[xvzbTylQ_bJT [gSN~O Nh\Ov 0sQN$Nyr_v]\O_^y~:g6Rxvz 0 kNe/ck_ShedQ-N vMR] gRek~g \*gb?z D N_bJT ]\ONc~S>ex]\O_v!jW:NW@x ۏNekvʑNh$Ny N Tyr_v]\O_vteT :g6R /fvsQW*NN!jWB\bwQSOvʑvQ̀T^y~:g6Rv]\O *NN!.s#SNYUO㉳Qyf[0wQSOv[s0TevdQRfNsO 201921250006N2021t^4gR2021t^8g^ (Wm3WOWV[[[SRV[yv  OWN Q~zf͑'YybW@xe (W eWNOR{ggN|~ -N;NbbwmlTgQUvB\-Nzzh_~ހvf[`NQ~^!jNR NR/fte*NyvsQ͑N͑pzQ {| vR0yv؏(WۏL-N N2020t^10gSNN {|awT_!jWxvz yv ;N#wmlve.sxTeTf[`NQ~^!jNR0yv؏(WۏL-N UxZS[W SN 0klN ƖfNO 0 SN1. WNяݍy0Whv4YgT~ހ~~f[`NQ~!jW [T/f(WsX-N[*vW@xR0TsNRir'Yv4YeTYteTMR^OSb_beTvh_0sX-Nvyr_Oo` Y0WhI{ :N4YgT~ހcO!hck]v~"}0]\O/f^zMR^~ހT4YgT~ހteTЏROo`b_beTh_v^y~Q~!jW0!jW/fN*NeTh_vf[`N!jW (W gяݍy0WhvsX-N !jW9hnc4YgT~ހeTh_vuirf['`( sSk*N4YgT~ހ gyr[veTOP}Y [seTh_vR0]\O؏(WۏL-N t^^[b0 2. ,g__‰`(WM|~v^(u ]\O/fN*Nf[bvT\O ck(WۏL-N ]\OO(Wft^Sh0>Oe 201921250005e: Projection of global meat consumption basing on SSP-RCP scenarios with machine learning method. ۏL e: Applying interpretable machine learning for Cross-national meat consumption driver analysis and prediction . Food Security. (In revision)-N\O e: -NV{|O!jWxvz~S YBg|~Ɖ҉ Nvxvz^. |~] ztN[. (In revision)-N\O e: Higher increase of heatwave intensity, temperature and duration in the future under global warming. Geophysical Research Letter. (In revision)-N\O e: Estimation of the relationship between meteorological factors and heat stroke basing on deep learning method . Environmental Research Letter. (In revision)-N\O V[6qyf[WёYNy(S: 4214100128)3ufNSNdQJia et al. Applying interpretable machine learning for Cross-national meat consumption driver analysis and prediction. Food Security. 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