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6. Understanding the Reproducibility Issues of Monkey for GUI Testing

Author

Liu, Huiyu, Kong, Qichao, Wang, Jue, Su, Ting, Sun, Haiying, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hermanns, Holger, editor, Sun, Jun, editor, and Bu, Lei, editor

Published
2024
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22. LogE-Net: Logic Evolution Network for Temporal Knowledge Graph Forecasting

Author

Liu, Yuxuan, Mo, Yijun, Chen, Zhengyu, Liu, Huiyu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Iliadis, Lazaros, editor, Papaleonidas, Antonios, editor, Angelov, Plamen, editor, and Jayne, Chrisina, editor

Published
2023
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27. Fast and Robust Registration of Aerial Images and LiDAR data Based on Structrual Features and 3D Phase Correlation

Author

Zhu, Bai, Ye, Yuanxin, Yang, Chao, Zhou, Liang, Liu, Huiyu, and Cao, Yungang

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Co-Registration of aerial imagery and Light Detection and Ranging (LiDAR) data is quilt challenging because the different imaging mechanism causes significant geometric and radiometric distortions between such data. To tackle the problem, this paper proposes an automatic registration method based on structural features and three-dimension (3D) phase correlation. In the proposed method, the LiDAR point cloud data is first transformed into the intensity map, which is used as the reference image. Then, we employ the Fast operator to extract uniformly distributed interest points in the aerial image by a partition strategy and perform a local geometric correction by using the collinearity equation to eliminate scale and rotation difference between images. Subsequently, a robust structural feature descriptor is build based on dense gradient features, and the 3D phase correlation is used to detect control points (CPs) between aerial images and LiDAR data in the frequency domain, where the image matching is accelerated by the 3D Fast Fourier Transform (FFT). Finally, the obtained CPs are employed to correct the exterior orientation elements, which is used to achieve co-registration of aerial images and LiDAR data. Experiments with two datasets of aerial images and LiDAR data show that the proposed method is much faster and more robust than state of the art methods

Published
2020

28. From mouse to mouse‐ear cress: Nanomaterials as vehicles in plant biotechnology

Author

Xia, Xue, Shi, Bingyang, Wang, Lei, Liu, Yang, Zou, Yan, Zhou, Yun, Chen, Yu, Zheng, Meng, Zhu, Yingfang, Duan, Jingjing, Guo, Siyi, Jang, Ho Won, Miao, Yuchen, Fan, Kelong, Bai, Feng, Tao, Wei, Zhao, Yong, Yan, Qingyu, Cheng, Gang, Liu, Huiyu, Jiao, Yan, Liu, Shanhu, Huang, Yuanyu, Ling, Daishun, Kang, Wenyi, Xue, Xue, Cui, Daxiang, Huang, Yongwei, Cui, Zongqiang, Sun, Xun, Qian, Zhiyong, Gu, Zhen, Han, Gang, Yang, Zhimou, Leong, David Tai, Wu, Aiguo, Liu, Gang, Qu, Xiaogang, Shen, Youqing, Wang, Qiangbin, Lowry, Gregory V, Wang, Ertao, Liang, Xing‐Jie, Gardea‐Torresdey, Jorge, Chen, Guoping, Parak, Wolfgang J, Weiss, Paul S, Zhang, Lixin, Stenzel, Martina M, Fan, Chunhai, Bush, Ashley I, Zhang, Gaiping, Grof, Christopher PL, Wang, Xuelu, Galbraith, David W, Tang, Ben Zhong, Offler, Christina E, Patrick, John W, and Song, Chun‐Peng

Subjects
Medical Biotechnology, Biomedical and Clinical Sciences, Engineering, Nanotechnology, Biotechnology, Bioengineering, nanocarrier, plant nano‐biotechnology
Abstract

Biological applications of nanomaterials as delivery carriers have been embedded in traditional biomedical research for decades. Despite lagging behind, recent significant breakthroughs in the use of nanocarriers as tools for plant biotechnology have created great interest. In this Perspective, we review the outstanding recent works in nanocarrier-mediated plant transformation and its agricultural applications. We analyze the chemical and physical properties of nanocarriers determining their uptake efficiency and transport throughout the plant body.

Published
2021

35. Search, synthesis and structural investigations of organic molecular ferroelectrics

Author

Liu, Huiyu

Subjects
548
Abstract

This thesis is inspired by the symmetry relationships frequently observed between paraelectric and ferroelectric phases. It aims to search for new molecular ferroelectrics, identify their structural phase transitions and understand how the behaviours of these materials are associated with phase transitions. Chapter 1 is a literature review on two aspects of organic materials in the solid state which are closely related to structural phase transitions: ferroelectricity and unusual thermal expansion. It gives a brief introduction to ferroelectricity and uses a number of ferroelectric examples to illustrate the different phase transition types that can lead to ferroelectricity. An overview of unusual (negative) thermal expansion observed in inorganic, organic-inorganic and pure organic compounds is also included. Chapter 2 introduces diffraction methods (single crystal and powder X-ray diffraction and neutron diffraction), complementary structural techniques (solid state nuclear magnetic resonance, thermal analysis, elemental analysis and second harmonic generation) and the theory behind them. It also introduces the concepts underlying the molecular symmetry-adapted distortion mode analysis, which are used in Chapter 3 and 4. Chapter 3 describes a comprehensive study of chloranilic acid pyrazine (CA-Pyz) which undergoes a reversible phase transition at ~300 K and shows remarkable thermal expansion properties associated with the phase transition. We show that CA-Pyz has uniaxial negative thermal expansion over a wide temperature range with a linear contraction coefficient as negative as −1500 ×10-6 K-1 at 250 K. The concepts of symmetry-adapted rotational modes and strain modes are used to successfully understand the structural changes and the unusual thermal expansion behaviour of CAPyz. Chapter 4 demonstrates the use of systematic and exhaustive symmetry-adapted distortion mode subgroup search methods to solve the high temperature structure of 5,6dichloro-methylbenzimidazole (DC-MBI) successfully from powder diffraction data. It describes how different models can be automatically tested against powder diffraction data and how the best structural description can be chosen. This is the first example that uses exhaustive symmetry-adapted distortion mode subgroup search method to solve a molecular structure. DC-MBI has the unusual property of its high temperature structure being of lower symmetry than its low temperature structure. Chapter 5 reports two new polymorphic forms of the 2:1 cocrystal of benzoic acid and ethylenediamine (2BA-ETD). Variable temperature PXRD measurements revealed two new forms of 2BA-ETDA (the β- and γ-forms). The structure of the β-form is solved successfully from powder diffraction data by using the symmetry descent subgroup search method. The structure of the γ-form has also been solved but is less clear cut. Three possible structure models for the γ-form are obtained from powder diffraction data using simulated annealing. Structural optimisation and 13C solid state NMR study provide a result that is inconsistent with an SHG study. As a result, we present a structural model for the γ-form that we believe is most likely based on the data available. Chapter 6 describes attempts to grow cocrystals of chloranilic acid (CA) with pyrazole (PYR) and benzimidazole (BEN) as potential hydrogen-bonded ferroelectric materials. It reports two previously-unknown structures of the monohydrate CA-PYR and CA-2BEN. The structure of monohydrated CA-PYR is solved using single crystal X-ray diffraction. The structural model helps rationalise why a dehydrated sample cannot be formed by gradually heating. The structure of CA-2BEN is solved from both powder and single crystal diffraction data. The structure solution from powder diffraction data is similar to that from single crystal diffraction data. This gives a confidence test on the methods we have used in other chapters.

Published
2020

43. Two-dimensional transition metal carbides and nitrides (MXenes) based biosensing and molecular imaging

Author

Liu Huiyu, Xing Xiaotong, Tan Yan, and Dong Haifeng

Subjects
biosensors, microrna detection, molecular imaging, mxenes, two-dimensional nanomaterials, Physics, QC1-999
Abstract

As a “star material”, 2D transition metal carbides and/or nitrides (MXenes) have tremendous potential applications in biosensor development and molecular imaging. MXenes have a lot of advantages due to their large specific surface, excellent electrical conductivity, adjustable band gap, and easy modification. MXenes that immobilized with DNA strands, proteins, enzymes, or other bioluminescent materials on the surface, have been used to measure small molecules with extraordinary sensitivity and remarkable limit of detection. This review provides an overview of most recent development in the synthesis, fundamental properties, biosensing, and molecular imaging applications of MXenes. We focused on molecular detection through MXene-based electrochemical properties their challenges and novel opportunities of MXenes in biological applications. This article will provide a guide for researchers who are interested in the application of MXenes biosensors.

Published
2022
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