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| 1 | Adsorption of Rhodamine B from Aqueous Solution onto Heat-Activated Sepiolite显示文摘The heat-activated sepiolite,which was prepared using sepiolite by thermal treatment at different temperatures,was used as an absorbent for the removal of rhodamine B(RhB) from aqueous solutions.The structure and morphology of the as-prepared samples were characterized by X-ray diffraction(XRD) and scanning electron microscopy(SEM) techniques,respectively.The adsorption capacity of RhB onto the heat-activated sepiolite has been examined with pH,adsorbent dosage,contact time,initial dye concentration,and temperature.Kinetic studies showed that the equilibrium was attained within 40 min,and the kinetic data were well described by the pseudo-second-order kinetic model.Besides,the experimental data(R 2 >0.999) fitted the Freundlich model better than the Langmuir model.The as-prepared sample showed higher adsorption capacity(8.33 mg/g) for the removal of RhB than that of sepiolite,which could be attributed to more adsorption sites caused by appropriate heat treatment.The adsorbent can be well regenerated by calcination at 400 ℃ for 2 h and regenerated sepiolite did not exhibited significant loss of adsorption activity after five recycles. | WANG Jiquan WANG Daojie ZHANG Gaoke GUO Yadan LIU Jin | 2013 | Wuhan University Journal of Natural Sciences2013，18，3： | 3 |
| 2 | Condensation of eigen microstate in statistical ensemble and phase transition显示文摘In a statistical ensemble with M microstates, we introduce an M × M correlation matrix with correlations among microstates as its elements. Eigen microstates of ensemble can be defined using eigenvectors of the correlation matrix. The eigenvalue normalized by M represents weight factor in the ensemble of the corresponding eigen microstate. In the limit M →∞, weight factors drop to zero in the ensemble without localization of the microstate. The finite limit of the weight factor when M →∞ indicates a condensation of the corresponding eigen microstate. This finding indicates a transition into a new phase characterized by the condensed eigen microstate. We propose a finite-size scaling relation of weight factors near critical point, which can be used to identify the phase transition and its universality class of general complex systems. The condensation of eigen microstate and the finite-size scaling relation of weight factors are confirmed using Monte Carlo data of one-dimensional and two-dimensional Ising models. | GaoKe Hu Teng Liu MaoXin Liu Wei Chen XiaoSong Chen | 2019 | Science China(Physics,Mechanics & Astronomy)2019，62，9： | 2 |
| 3 | Universality class of machine learning for critical phenomena显示文摘Herein,percolation phase transitions on a two-dimensional lattice were studied using machine learning techniques.Results reveal that different phase transitions belonging to the same universality class can be identified using the same neural networks(NNs),whereas phase transitions of different universality classes require different NNs.Based on this finding,we proposed the universality class of machine learning for critical phenomena.Furthermore,we investigated and discussed the NNs of different universality classes.Our research contributes to machine learning by relating the NNs with the universality class. | Gaoke Hu Yu Sun Teng Liu Yongwen Zhang Maoxin Liu Jingfang Fan Wei Chen Xiaosong Chen | 2023 | Science China(Physics,Mechanics & Astronomy)2023，66，12： | 0 |
| 4 | ABHD11 is critical for embryonic stem cell self-renewal显示文摘Growing evidence supports the notion that lipid metabolism is critical for embryonic stem cell(ESC)maintenance.Recently,a/β-hydrolase domain-containing(ABHD)proteins have emerged as novel pivotal regulators in lipid synthesis or degradation while their functions in ESCs have not been investigated.In this study,we revealed the role of ABHD11 in ESC function using classical loss and gain of function experiments.K nockout of ABHD11 hampered ESC expansion and differentiation,triggering the autophagic flux and apoptosis.In contrast,ABHD11 overexpression exerted anti-apoptotic effects in ESCs. | Liu Gaoke Ruan Yan Zhang Junlei Wang Xueyue Wang Jiali Cheng Yuda Liu Lianlian Tian Yanping Jian Rui | 2021 | 解剖学杂志2021，44，S01： | 0 |
| 5 | Identification and functional comparison of Bcl2 splicing isoforms in mouse embryonic stem cells显示文摘Embryonic stem cells(ESCs)provide an ideal model for investigating developmental processes and are great sources for developing regenerative m edicine.Harnessing apoptosis facilitates accurate recapitulation of signalling events during em bryogenesis and allows efficient expansion of the ESCs during differentiation.Bcl2,a key regulator of intrinsic anti-apoptotic pathway,encodes two splicing isoforms.However,the identification and functional comparison of Bcl2 splicing isoforms in mouse ESCs(mESCs)remains to be elucidated.Here,we provide the evidence that both Bcl2 splicing variants are expressed in mESCs.Despite the structural difference,they have similar subcellular localization. | Wang Xueyue Wang Jiaqi Cheng Yuda Wang Jiali Tian Yanping Zhang Junlei Liu Gaoke Xu Yixiao Liu Lianlian Ruan Yan Jian Rui | 2021 | 解剖学杂志2021，44，S01： | 0 |
| 6 | Study of the shear-rate dependence of granular friction based on community detection显示文摘In this study, computer simulations are performed on three-dimensional granular systems under shear conditions. The system comprises granular particles that are confined between two rigid plates. The top plate is subjected to a normal force and driven by a shearing velocity. A positive shear-rate dependence of granular friction, known as velocity-strengthening, exists between the granular and shearing plate. To understand the origin of the dependence of frictional sliding, we treat the granular system as a complex network, where granular particles are nodes and normal contact forces are weighted edges used to obtain insight into the interiors of granular matter. Community structures within granular property networks are detected under different shearing velocities in the steady state. Community parameters, such as the size of the largest cluster and average size of clusters, show significant monotonous trends in shearing velocity associated with the shear-rate dependence of granular friction. Then, we apply an instantaneous change in shearing velocity. A dramatic increase in friction is observed with a change in shearing velocity in the non-steady state. The community structures in the non-steady state are different from those in the steady state. Results indicate that the largest cluster is a key factor affecting the friction between the granular and shearing plate. | YongWen Zhang GaoKe Hu XiaoSong Chen Wei Chen WenQi Liu | 2019 | Science China(Physics,Mechanics & Astronomy)2019，62，4： | 0 |
| 7 | Unpacking the black box of deep learning for identifying El Nino-Southern oscillation显示文摘By training a convolutional neural network(CNN) model, we successfully recognize different phases of the El Nino-Southern oscillation. Our model achieves high recognition performance,with accuracy rates of 89.4% for the training dataset and 86.4% for the validation dataset.Through statistical analysis of the weight parameter distribution and activation output in the CNN, we find that most of the convolution kernels and hidden layer neurons remain inactive,while only two convolution kernels and two hidden layer neurons play active roles. By examining the weight parameters of connections between the active convolution kernels and the active hidden neurons, we can automatically differentiate various types of El Nino and La Nina,thereby identifying the specific functions of each part of the CNN. We anticipate that this progress will be helpful for future studies on both climate prediction and a deeper understanding of artificial neural networks. | Yu Sun Yusupjan Habibulla Gaoke Hu Jun Meng Zhenghui Lu Maoxin Liu Xiaosong Chen | 2023 | Communications in Theoretical Physics2023，75，9： | 0 |
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