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| 1 | Nonplanar post-buckling analysis of simply supported pipes conveying fluid with an axially sliding downstream end显示文摘In this study,the nonplanar post-buckling behavior of a simply supported fluid-conveying pipe with an axially sliding downstream end is investigated within the framework of a three-dimensional(3 D)theoretical model.The complete nonlinear governing equations are discretized via Galerkin’s method and then numerically solved by the use of a fourth-order Runge-Kutta integration algorithm.Different initial conditions are chosen for calculations to show the nonplanar buckling characteristics of the pipe in two perpendicular lateral directions.A detailed parametric analysis is performed in order to study the influence of several key system parameters such as the mass ratio,the flow velocity,and the gravity parameter on the post-buckling behavior of the pipe.Typical results are presented in the form of bifurcation diagrams when the flow velocity is selected as the variable parameter.It is found that the pipe will stay at its original straight equilibrium position until the critical flow velocity is reached.Just beyond the critical flow velocity,the pipe would lose stability by static divergence via a pitchfork bifurcation,and two possible nonzero equilibrium positions are generated.It is shown that the buckling and post-buckling behaviors of the pipe cannot be influenced by the mass ratio parameter.Unlike a pipe with two immovable ends,however,the pinned-pinned pipe with an axially sliding downstream end shows some different features regarding post-buckling behaviors.The most important feature is that the buckling amplitude of the pipe with an axially sliding downstream end would increase first and then decrease with the increase in the flow velocity.In addition,the buckled shapes of the pipe varying with the flow velocity are displayed in order to further show the new post-buckling features of the pipe with an axially sliding downstream end. | Tianli JIANG Huliang DAI Kun ZHOU Lin WANG | 2020 | Applied Mathematics and Mechanics(English Edition)2020，41，1： | 3 |
| 2 | Parametrization of woods-saxon potential for heavy-ion systems显示文摘Several elastic scattering angular distributions of ^(12)C from target nuclei of A ≥39 are analyzed to extract the Woods-Saxon potential parameters with the fixed imaginary potential and Coulomb radius parameters.Using the best fitted diffuseness parameters,the correlations of the real part parameters with A_1^(1/3)+ A_2^(1/3) and incident energy are revealed, and the systematic Woods-Saxon potential parameters are presented for nucleus-nucleus interaction.The proposed potential parameters can reproduce not only the elastic scattering angular distributions induced by ^(12)C,but also many elastic scattering angular distributions induced by the projectiles other than ^(12)C,thus providing important inputs for the study of nuclear reactions of heavy-ion systems. | Lin Gan ZhiHong Li HuiBin Sun DanYang Pang Bing Guo YunJu Li Jun Su ShengQuan Yan ErTao Li YouBao Wang Gang Lian ZhiYu Han XinYue Li DongHui Li TianLi Ma ChangJin Pei YangPing Shen Yi Su Sheng Zeng Yong Zhou WeiPing Liu | 2017 | Science China(Physics,Mechanics & Astronomy)2017，60，8： | 2 |
| 3 | An ultrapotent RBD-targeted biparatopic nanobody neutralizes broad SARS-CoY-2 variants显示文摘The wide transmission and host adaptation of SARS-CoV-2 have led to the rapid accumulation of mutations,posing significant challenges to the effectiveness of vaccines and therapeutic antibodies.Although several neutralizing antibodies were authorized for emergency clinical use,convalescent patients derived natural antibodies are vulnerable to SARS-CoV-2 Spike mutation. | Xiaojing Chi Xinhui Zhang Shengnan Pan Yanying Yu Yujin Shi Tianli Lin Huarui Duan Xiuying Liu Wenfang Chen Xuehua Yang Lan Chen Xiaoqian Dong Lili Ren Qiang Ding Jianwei Wang Wei Yang | 2022 | Signal Transduction and Targeted Therapy2022，7，3： | 1 |
| 4 | Fibroblast growth factor 21 inhibits ferroptosis following spinal cord injury by regulating heme oxygenase-1显示文摘Interfering with the ferroptosis pathway is a new strategy for the treatment of spinal cord injury.Fibroblast growth factor 21 can inhibit ferro ptosis and promote neurofunctional recovery,while heme oxygenase-1 is a regulator of iron and reactive oxygen species homeostasis.The relationship between heme oxygenase-1and ferroptosis remains controve rsial.In this study,we used a spinal co rd injury rat model to show that the levels of fibroblast growth factor 21 in spinal co rd tissue decreased after spinal cord injury.In addition,there was a significant aggravation of ferroptosis and a rapid increase in heme oxygenase-1 expression after spinal cord injury.Furthe r,heme oxygenase-1 aggravated fe rroptosis after spinal cord injury,while fibroblast growth factor 21 inhibited fe rroptosis by downregulating heme oxygenase-1.Thus,the activation of fibroblast growth factor 21 may provide a potential treatment for spinal co rd injury.These findings could provide a new potential mechanistic explanation for fibroblast growth factor 21 in the treatment of spinal cord injury. | Qi Gu Weiping Sha Qun Huang Jin Wang Yi Zhu Tianli Xu Zhenhua Xu Qiancheng Zhu Jianfei Ge Shoujin Tian Xiaolong Lin | 2024 | Neural Regeneration Research2024，19，7： | 0 |
| 5 | Fungi with potential probiotic properties isolated from Fuzhuan brick tea显示文摘Several of the fungal species associated with Fuzhuan brick tea(FBT)are considered as potential probiotics,but few studies have investigated the probiotic properties of these fungi.Here,we isolated 18 fungal strains from two types of FBT and identified these strains based on internal transcribed spacer(ITS)fragment sequence similarity to reference strains(sequence similarity>98%).Of the 18 strains,10 tolerated simulated human digestive conditions for sufficient periods in vitro:pH 2-3,0.3%-0.5%(m/V)bile salts,and artificial gastrointestinal juices.We then measured the antimicrobial activity of the remaining 10 strains against 5 enteropathogenic bacteria and tested the bacteriostatic effects of the thalli and fermentation broth extracts.Of the 6 strains with strong bacteriostatic effects,we eliminated Eurotium cristatum S-9 due to its low hydrophobicity of(26.12±0.35)%.Finally,2 exhibited good adhesion abilities to human cells(>100%).Notably,2 strains can survive in vivo,because they can be isolated from C57BL/6 mice feces.Thus,2 strains,Aspergillus cristatus H-1 and A.cristatus H-5,are herein identified as promising candidate probiotic strains.It may be put forward a novel research focus on evaluating potential probiotic fungi from FBT. | Xin Wang Yuanyuan Cui Chaowei Sang Bin Wang Yirong Yuan Lin Liu Yahong Yuan Tianli Yue | 2022 | Food Science and Human Wellness2022，11，3： | 0 |
| 6 | An integrated flexible self-healing Zn-ion battery using dendrite-suppressible hydrogel electrolyte and free-standing electrodes for wearable electronics显示文摘Among many aqueous batteries,flexible zinc-ion(Zn-ion)battery becomes the focus owing to the merits of low cost,non-toxicity,and safety.Here,a Zn dendrite-suppressible hydrogel electrolyte with both flexible and self-healing properties is developed via photoinitiated polymerization.The cross-linked structure of the polyacrylamide-N,N'-methylenebisacrylamide(PAM-MBA)-Zn/Mn hydrogel endows an enlarged chemical stable window,high ionic conductivity,and low polarization potential.After cycling at the current density of 0.5 mA·cm^(−2)for 250 h,Zn‖Zn symmetrical cell based on PAM-MBA-Zn/Mn electrolyte delivers a low polarization of 40 mV.The suppressed dendrite growth is ascribed to the uniform Zn deposition/stripping on anode.The galvanostatic intermittent titration technique curves display that the Zn-ion battery constructed by the PAM-MBA-Zn/Mn hydrogel electrolyte,free-standing FeVO_(4)/carbon cloth cathode,and Zn nanosheets/carbon cloth anode presents low reaction resistance and fast diffusion coefficient,indicating good endurance of cycling at high current densities.The battery with PAM-MBA-Zn/Mn hydrogel electrolyte presents a good flexible and self-healing performance.After bending 0°,60°,90°,and 180°for 30 times,batteries deliver stable capacities.Even cutting into ten pieces,the battery could self-heal and display a potential retention of 93.7%compared to the fresh cell.A good rate-performance is also achieved.After cutting/healing three times during cycling,capacity recovers well compared to the first-time cutting/healing.Moreover,the battery exhibits good flexibility using in an electric watch,indicating a promising potential for wearable electronics. | Jiawei Long Tianli Han Xirong Lin Yajun Zhu Yingyi Ding Jinyun Liu Huigang Zhang | 2023 | Nano Research2023，16，8： | 0 |
| 7 | Sika Deer Facial Recognition Model Based on SE-ResNet显示文摘The scale of deer breeding has gradually increased in recent years and better information management is necessary,which requires the identification of individual deer.In this paper,a deer face dataset is produced using face images obtained from different angles,and an improved residual neural network(ResNet)-based recognition model is proposed to extract the features of deer faces,which have high similarity.The model is based on ResNet-50,which reduces the depth of the model,and the network depth is only 29 layers;the model connects Squeeze-and-Excitation(SE)modules at each of the four layers where the channel changes to improve the quality of features by compressing the feature information extracted through the entire layer.A maximum pooling layer is used in the ResBlock shortcut connection to reduce the information loss caused by messages passing through the ResBlock.The Rectified Linear Unit(ReLU)activation function in the network is replaced by the Exponential Linear Unit(ELU)activation function to reduce information loss during forward propagation of the network.The preprocessed 6864 sika deer face dataset was used to train the recognition model based on SEResnet,which is demonstrated to identify individuals accurately.By setting up comparative experiments under different structures,the model reduces the amount of parameters,ensures the accuracy of the model,and improves the calculation speed of the model.Using the improved method in this paper to compare with the classical model and facial recognition models of different animals,the results show that the recognition effect of this research method is the best,with an average recognition accuracy of 97.48%.The sika deer face recognition model proposed in this study is effective.The results contribute to the practical application of animal facial recognition technology in the breeding of sika deer and other animals with few distinct facial features. | He Gong Lin Chen Haohong Pan Shijun Li Yin Guo Lili Fu Tianli Hu Ye Mu Thobela Louis Tyasi | 2022 | Computers, Materials & Continua2022，，9： | 0 |
| 8 | Flexible Strain Sensor Based on 3D Electrospun Carbonized Sponge显示文摘Flexible strain sensor has attracted much attention because of its potential application in human motion detection.In this work,the prepared strain sensor was obtained by encapsulating electrospun carbonized sponge(CS)with room temperature vulcanized silicone rubber(RTVS).In this paper,the formation mechanism of conductive sponge was studied.Based on the combination of carbonized sponge and RTVS,the strain sensing mechanism and piezoresistive properties are discussed.After research and testing,the CS/RTVS flexible strain sensor has excellent fast response speed and stability,and the maximum strain coefficient of the sensor is 136.27.In this study,the self-developed CS/RTVS sensor was used to monitor the movements of the wrist joint,arm elbow joint and fingers in real time.Research experiments show that CS/RTVS flexible strain sensor has good application prospects in the field of human motion monitoring. | He Gong Zilian Wang Zhiqiang Cheng Lin Chen Haohong Pan Daming Zhang Tianli Hu Thobela Louis Tyasi | 2022 | Computers, Materials & Continua2022，，12： | 0 |
| 9 | Predicting adsorption ability of adsorbents at arbitrary sites for pollutants using deep transfer learning显示文摘Accurately evaluating the adsorption ability of adsorbents for heavy metal ions(HMIs)and organic pollutants in water is critical for the design and preparation of emerging highly efficient adsorbents.However,predicting adsorption capabilities of adsorbents at arbitrary sites is challenging,with currently unavailable measuring technology for active sites and the corresponding activities.Here,we present an efficient artificial intelligence(AI)approach to predict the adsorption ability of adsorbents at arbitrary sites,as a case study of three HMIs(Pb(Ⅱ),Hg(Ⅱ),and Cd(Ⅱ))adsorbed on the surface of a representative two-dimensional graphitic-C_(3)N_(4).We apply the deep neural network and transfer learning to predict the adsorption capabilities of three HMIs at arbitrary sites,with the predicted results of Cd(Ⅱ)>Hg(Ⅱ)>Pb(Ⅱ)and the root-mean-squared errors less than 0.1 eV.The proposed AI method has the same prediction accuracy as the ab initio DFT calculation,but is millions of times faster than the DFT to predict adsorption abilities at arbitrary sites and only requires one-tenth of datasets compared to training from scratch.We further verify the adsorption capacity of g-C_(3)N_(4) towards HMIs experimentally and obtain results consistent with the AI prediction.It indicates that the presented approach is capable of evaluating the adsorption ability of adsorbents efficiently,and can be further extended to other interdisciplines and industries for the adsorption of harmful elements in aqueous solution. | Zhilong Wang Haikuo Zhang Jiahao Ren Xirong Lin Tianli Han Jinyun Liu Jinjin Li | 2021 | npj Computational Materials2021，，1： | 0 |
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