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3,634 results on '"Gao, Guang"'

4. AI-based analysis of super-resolution microscopy: Biological discovery in the absence of ground truth

Author

Nabi, Ivan R., Cardoen, Ben, Khater, Ismail M., Gao, Guang, Wong, Timothy H., and Hamarneh, Ghassan

Subjects
Quantitative Biology - Subcellular Processes, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Physics - Biological Physics, Quantitative Biology - Quantitative Methods
Abstract

Super-resolution microscopy, or nanoscopy, enables the use of fluorescent-based molecular localization tools to study molecular structure at the nanoscale level in the intact cell, bridging the mesoscale gap to classical structural biology methodologies. Analysis of super-resolution data by artificial intelligence (AI), such as machine learning, offers tremendous potential for discovery of new biology, that, by definition, is not known and lacks ground truth. Herein, we describe the application of weakly supervised paradigms to super-resolution microscopy and its potential to enable the accelerated exploration of the nanoscale architecture of subcellular macromolecules and organelles., Comment: 26 pages, 4 figures

Published
2023

9. Ground Vibration Reduction Analysis of Pile-Supported Subgrade for High-Speed Railway Using 2.5D FEM

Author

Gao, Guang-yun, Zhang, Ji-yan, Bi, Jun-wei, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Sheng, Xiaozhen, editor, Thompson, David, editor, Degrande, Geert, editor, Nielsen, Jens C. O., editor, Gautier, Pierre-Etienne, editor, Nagakura, Kiyoshi, editor, Kuijpers, Ard, editor, Nelson, James Tuman, editor, Towers, David A., editor, Anderson, David, editor, and Tielkes, Thorsten, editor

Published
2024
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13. The energy method for high-order invariants in shallow water wave equations

Author

Zhang, Qifeng, Tongyan, and Gao, Guang-hua

Subjects
Mathematics - Numerical Analysis
Abstract

Third order dispersive evolution equations are widely adopted to model one-dimensional long waves and have extensive applications in fluid mechanics, plasma physics and nonlinear optics. Among them are the KdV equation, the Camassa--Holm equation and the Degasperis--Procesi equation. They share many common features such as complete integrability, Lax pairs and bi-Hamiltonian structure. In this paper we revisit high-order invariants for these three types of shallow water wave equations by the energy method in combination of a skew-adjoint operator $(1-\partial_{xx})^{-1}$. Several applications to seek high-order invariants of the Benjamin-Bona-Mahony equation, the regularized long wave equation and the Rosenau equation are also presented.

Published
2023

14. Proposing a Seven-parameter Polynomial Equation to Fit the Moisture Sorption Isotherms of Helium Cold Plasma-treated Wheat Flours

Author

WANG Meng-ya, ZHAO Ming-hui, GAO Guang-biao, WU Jian-zhang, LI Xing-jun, and WANG Wan-gui

Subjects
polynomial equilibrium moisture equation, flour, helium-cold plasma, hysteresis loop, extended pressure, Food processing and manufacture, TP368-456, Nutrition. Foods and food supply, TX341-641
Abstract

For seeking the cause of the increase in dough water absorption rate after cold plasma treatment, this study adopted low-pressure, radiofrequency 120 W helium cold plasma (CP) to treat wheat flours from 0 s to 180 s. Results showed that water absorption rate, conductivity, values of water and sucrose solvent retention capacity (SRC), and paste breakdown value in wheat flours increased significantly with increasing CP treatment time. To further explore the change causes in these physiochemical indexes, we developed a seven- parameter polynomial , (M was equilibrium moisture (%), ERH was equilibrium relative humidity (decimal), t was temperature (℃), and A~G were parameters. This polynomial could fit moisture sorption isotherms (20-35 ℃ and ERH 10%-90%) of helium CP treated flours, and the goodness-of-fit indexes were superior to those of modified Chung-Pfost (commonly used) and four-parameter polynomial (without temperature term) equations. The seven-parameter polynomial equation clearly showed the hysteresis loops between moisture adsorption and desorption isotherms of flour samples, which shifted downward with increasing temperature. The hysteresis degree showed a parabolic shape curve with increasing ERH, and the vertex of the parabola was at the range of 40-50% ERH. CP treatment shifted the monolayer adsorption sites to multi-molecular adsorption sites ahead of schedule, from ERH 50% to 40%. Further analysis using Dent model showed that the helium CP treatment was able to reduce the mono-layer moisture content and spreading pressure in wheat flour, and increase the elasticity of a capillary wall. The ability of water molecules was increased to form hydrogen bonds with the chemical components, which promoted the uniform distribution and permeation of water molecules into flour particles. Infrared spectral scanning showed that the degree of short-range order at the surface of starch granules and the interaction between protein and starch tended to increase with increasing CP time. Helium cold plasma technology has potential application in improving flour processing quality.

Published
2024
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22. Dataflow Accelerator Architecture for Autonomous Machine Computing

Author

Liu, Shaoshan, Zhu, Yuhao, Yu, Bo, Gaudiot, Jean-Luc, and Gao, Guang R.

Subjects
Computer Science - Hardware Architecture, Computer Science - Artificial Intelligence, Computer Science - Robotics
Abstract

Commercial autonomous machines is a thriving sector, one that is likely the next ubiquitous computing platform, after Personal Computers (PC), cloud computing, and mobile computing. Nevertheless, a suitable computing substrate for autonomous machines is missing, and many companies are forced to develop ad hoc computing solutions that are neither principled nor extensible. By analyzing the demands of autonomous machine computing, this article proposes Dataflow Accelerator Architecture (DAA), a modern instantiation of the classic dataflow principle, that matches the characteristics of autonomous machine software., Comment: Please note that this may be a special case in that Professor Gao sadly passed away on September 12th, just as we had put the finishing touches on this submission

Published
2021

41. PRMT1-dependent regulation of RNA metabolism and DNA damage response sustains pancreatic ductal adenocarcinoma.

Author

Giuliani, Virginia, Miller, Meredith A, Liu, Chiu-Yi, Hartono, Stella R, Class, Caleb A, Bristow, Christopher A, Suzuki, Erika, Sanz, Lionel A, Gao, Guang, Gay, Jason P, Feng, Ningping, Rose, Johnathon L, Tomihara, Hideo, Daniele, Joseph R, Peoples, Michael D, Bardenhagen, Jennifer P, Geck Do, Mary K, Chang, Qing E, Vangamudi, Bhavatarini, Vellano, Christopher, Ying, Haoqiang, Deem, Angela K, Do, Kim-Anh, Genovese, Giannicola, Marszalek, Joseph R, Kovacs, Jeffrey J, Kim, Michael, Fleming, Jason B, Guccione, Ernesto, Viale, Andrea, Maitra, Anirban, Emilia Di Francesco, M, Yap, Timothy A, Jones, Philip, Draetta, Giulio, Carugo, Alessandro, Chedin, Frederic, and Heffernan, Timothy P

Subjects
Cell Line, Tumor, Animals, Mice, Inbred NOD, Mice, Knockout, Humans, Mice, SCID, Carcinoma, Pancreatic Ductal, Pancreatic Neoplasms, DNA Damage, Repressor Proteins, RNA, Enzyme Inhibitors, Tumor Burden, Xenograft Model Antitumor Assays, Cell Proliferation, RNA Interference, Female, Biocatalysis, Protein-Arginine N-Methyltransferases
Abstract

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer that has remained clinically challenging to manage. Here we employ an RNAi-based in vivo functional genomics platform to determine epigenetic vulnerabilities across a panel of patient-derived PDAC models. Through this, we identify protein arginine methyltransferase 1 (PRMT1) as a critical dependency required for PDAC maintenance. Genetic and pharmacological studies validate the role of PRMT1 in maintaining PDAC growth. Mechanistically, using proteomic and transcriptomic analyses, we demonstrate that global inhibition of asymmetric arginine methylation impairs RNA metabolism, which includes RNA splicing, alternative polyadenylation, and transcription termination. This triggers a robust downregulation of multiple pathways involved in the DNA damage response, thereby promoting genomic instability and inhibiting tumor growth. Taken together, our data support PRMT1 as a compelling target in PDAC and informs a mechanism-based translational strategy for future therapeutic development.Statement of significancePDAC is a highly lethal cancer with limited therapeutic options. This study identified and characterized PRMT1-dependent regulation of RNA metabolism and coordination of key cellular processes required for PDAC tumor growth, defining a mechanism-based translational hypothesis for PRMT1 inhibitors.

Published
2021

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