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| 1 | Penta-P2X (X=C, Si) monolayers as wide-bandgap semiconductors: A first principles prediction显示文摘 | Mosayeb Naseri Shiru Lin Jaafar Jalilian Jinxing Gu Zhongfang Chen | 2018 | Frontiers of physics2018，13，3： | 3 |
| 2 | Retro-enantio isomer of angiopep-2 assists nanoprobes across the blood-brain barrier for targeted magnetic resonance/fluorescence imaging of glioblastoma显示文摘Glioblastoma(GBM),one of the most common primary intracranial malignant tumours,is very difficult to be completely excised by surgery due to its irregular shape.Here,we use an MRI/NIR fluorescence dual-modal imaging nanoprobe that includes superparamagnetic iron oxide nanoparticles(SPIONs)modified with indocyanine(Cy7)molecules and peptides(ANG orDANG)to locate malignant gliomas and guide accurate excision.Both peptides/Cy7-SPIONs probes displayed excellent tumour-homing properties and barrier penetrating abilities in vitro. | Ruoxi Xie Zijun Wu Fanxin Zeng Huawei Cai Dan Wang Lei Gu Hongyan Zhu Su Lui Gang Guo Bin Song Jinxing Li Min Wu Qiyong Gong | 2021 | Signal Transduction and Targeted Therapy2021，6，9： | 3 |
| 3 | UnderwaterWaste Recognition and Localization Based on Improved YOLOv5显示文摘With the continuous development of the economy and society,plastic pollution in rivers,lakes,oceans,and other bodies of water is increasingly severe,posing a serious challenge to underwater ecosystems.Effective cleaning up of underwater litter by robots relies on accurately identifying and locating the plastic waste.However,it often causes significant challenges such as noise interference,low contrast,and blurred textures in underwater optical images.A weighted fusion-based algorithm for enhancing the quality of underwater images is proposed,which combines weighted logarithmic transformations,adaptive gamma correction,improved multi-scale Retinex(MSR)algorithm,and the contrast limited adaptive histogram equalization(CLAHE)algorithm.The proposed algorithm improves brightness,contrast,and color recovery and enhances detail features resulting in better overall image quality.A network framework is proposed in this article based on the YOLOv5 model.MobileViT is used as the backbone of the network framework,detection layer is added to improve the detection capability for small targets,self-attention and mixed-attention modules are introduced to enhance the recognition capability of important features.The cross stage partial(CSP)structure is employed in the spatial pyramid pooling(SPP)section to enrich feature information,and the complete intersection over union(CIOU)loss is replaced with the focal efficient intersection over union(EIOU)loss to accelerate convergence while improving regression accuracy.Experimental results proved that the target recognition algorithm achieved a recognition accuracy of 0.913 and ensured a recognition speed of 45.56 fps/s.Subsequently,Using red,green,blue and depth(RGB-D)camera to construct a system for identifying and locating underwater plastic waste.Experiments were conducted underwater for recognition,localization,and error analysis.The experimental results demonstrate the effectiveness of the proposed method for identifying and locating underwater plastic waste,and it has good localization accuracy. | Jinxing Niu Shaokui Gu Junmin Du Yongxing Hao | 2023 | Computers, Materials & Continua2023，76，8： | 1 |
| 4 | A tes- ting platform based on bionics drag reduction theory for fric- tion resistance 显示文摘 | ZHAO Gang GU Yunqing ZHENG Jinxing | 2012 | Communications in Information Science and Management Engineering2012，2，5： | 1 |
| 5 | Sedimentary association of alternated mudstones and tight sandstones in China’s oil and gas bearing basins and its natural gas accumulation显示文摘 | Guangyou Zhu Lijing Gu Jin Su Jinxing Dai Wenlong Ding Jinchuan Zhang Lichen Song | 2012 | Journal of Asian Earth Sciences2012，，： | 1 |
| 6 | Protection and Utilization of Chinese Giant Salamander Germplasm Resources显示文摘Chinese giant salamander(Andrias davidianus)is salamander germplasm resource that only distributed in China.It is the material basis of the evolution principle research,genetic research and artificial breeding.Since the 1990s,overharvesting,water pollution and habitat changes have seriously destroyed the germplasm resources of A.davidianus,their population density has decreased since then.Strengthening the protection and rational utilization of A.davidianus germplasm resources are key factors in impacting the healthy,stable and sustainable development of A.davidianus industry.Under the above background,we discussed the current problems with the protection for A.davidianus germplasm resources,put forward suggestions for the conservation of A.davidianus germplasm resources.It is expected to provide a reference to effective protection for A.davidianus germplasm resources,and provide a scientific foundation for further studies,so as to promote the high-quality development of related industry. | Jinxing GU Guoxi LI Zhenjiang YANG Bianzhi LIU Huihui WU Daoquan ZHAO | 2023 | Asian Agricultural Research2023，15，2： | 0 |
| 7 | Double-sided surface functionalization: An effective approach to stabilize and modulate the electronic structure of graphene-like borophene显示文摘Graphene-like borophene was theoretically proposed and recently synthesized on Al(111)surface,however,how to conquer its structural instability is still an open question.By means of density functional theory computations,we theoretically predicted that honeycomb borophene can be well stabilized by double-sided surface passivation with monovalent functional groups(X=F,Cl,Br,I,OH,and NH2)due to the electron redistributions.The system undergoes the transition from metallic to semiconducting upon functionalization,while the energy gap depends on the choice of functional groups.Under external strain,the gap values can be manipulated over a broad range.Our further calculations indicated that the functionalized borophene possesses moderate and anisotropic carrier mobility,which is comparable to or even higher than some 2D materials such as MoS2 and phosphorene.Our work provides a feasible strategy to effectively stabilize the graphene-like borophene and tune the electronic properties with great potentials for electronic applications. | Xiao Tang Jinxing Gu Jing Shang Zhongfang Chen Liangzhi Kou | 2021 | InfoMat2021，3，3： | 0 |
| 8 | Research on Multi-View Image Reconstruction Technology Based on Auto-Encoding Learning显示文摘Traditional three-dimensional(3D)image reconstruction method,which highly dependent on the environment and has poor reconstruction effect,is easy to lead to mismatch and poor real-time performance.The accuracy of feature extraction from multiple images affects the reliability and real-time performance of 3D reconstruction technology.To solve the problem,a multi-view image 3D reconstruction algorithm based on self-encoding convolutional neural network is proposed in this paper.The algorithm first extracts the feature information of multiple two-dimensional(2D)images based on scale and rotation invariance parameters of Scale-invariant feature transform(SIFT)operator.Secondly,self-encoding learning neural network is introduced into the feature refinement process to take full advantage of its feature extraction ability.Then,Fish-Net is used to replace the U-Net structure inside the self-encoding network to improve gradient propagation between U-Net structures,and Generative Adversarial Networks(GAN)loss function is used to replace mean square error(MSE)to better express image features,discarding useless features to obtain effective image features.Finally,an incremental structure from motion(SFM)algorithm is performed to calculate rotation matrix and translation vector of the camera,and the feature points are triangulated to obtain a sparse spatial point cloud,and meshlab software is used to display the results.Simulation experiments show that compared with the traditional method,the image feature extraction method proposed in this paper can significantly improve the rendering effect of 3D point cloud,with an accuracy rate of 92.5%and a reconstruction complete rate of 83.6%. | Tao Zhang Shaokui Gu Jinxing Niu Yi Cao | 2022 | Computers, Materials & Continua2022，，9： | 0 |
| 9 | Zeolite-templated carbons as effective sorbents to remove methylsiloxanes and derivatives:A computational screening显示文摘Though widely used in our daily lives,volatile methylsiloxanes and derivatives are emerging contaminants and becoming a high-priority environment and public health concern.Developing effective sorbent materials can remove siloxanes in a cost-effective manner.Herein,by means of Grand Canonical Monte Carlo(GCMC)simulations,we evaluated the potentials of the recently proposed 68 stable zeolite-templated carbons(ZTCs)(PNAS 2018,115,E8116-E8124)for the removal of four linear methylsiloxanes and derivatives as well as two cyclic methylsiloxanes by the calculated average loading and average adsorption energy values.Four ZTCs,namely ISV,FAU1,FAU3,and H8326836,were identified with the top 50%adsorption performance toward all the six targeted contaminants,which outperform activated carbons.Further first principles computations revealed that steric hindrance,electrostatic interactions(further enhanced by charge transfer),and CH-p interactions account for the outstanding adsorption performance of these ZTCs.This work provides a quick procedure to computationally screen promising ZTCs for siloxane removal,and help guide future experimental and theoretical investigations. | Shiru Lin Kaitlyn A.Jacoby Jinxing Gu Dariana R.Vega-Santander Arturo J.Hernaandez-Maldonado Zhongfang Chen | 2021 | Green Energy & Environment2021，6，6： | 0 |
| 10 | Single-atom catalysts with anionic metal centers: Promising electrocatalysts for the oxygen reduction reaction and beyond显示文摘Ongoing efforts to develop single-atom catalysts(SACs) for the oxygen reduction reaction(ORR) typically focus on SACs with cationic metal centers,while SACs with anionic metal centers(anionic SACs) have been generally neglected.However,anionic SACs may offer excellent active sites for ORR,since anionic metal centers could facilitate the activation of O_(2) by back donating electrons to the antibonding orbitals of O_(2).In this work,we propose a simple guideline for designing anionic SACs:the metal centers should have larger electronegativity than the surrounding atoms in the substrate on which the metal atoms are supported.By means of density functional theory(DFT) simulations,we identified 13 anionic metal centers(Co,Ni,Cu,Ru,Rh,Pd,Ag,Re,Os,Ir,Pt,Au,and Hg) dispersed on pristine or defective antimonene substrates as new anionic SACs,among which anionic Au and Co metal centers exhibit limiting potentials comparable to,or even better than,conventional Pt-based catalysts towards ORR.We also found that anionic Os and Re metal centers on the defective antimonene can electrochemically catalyze the nitrogen reduction reaction(NRR) with a limiting potential close to that of stepped Ru(0001).Overall,our work shows promise towards the rational design of anionic SACs and their utility for applications as electrocatalysts for ORR and other important electrochemical reactions. | Jinxing Gu Yinghe Zhao Shiru Lin Jingsong Huang Carlos R.Cabrera Bobby G.Sumpter Zhongfang Chen | 2021 | Journal of Energy Chemistry2021，30，12： | 0 |
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