Zhenping Li
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Articles by Zhenping Li
Study on negative skin friction of piles induced by mining subsidence using transparent soil model tests
Abstract Due to surface subsidence caused by coal mining, the negative skin friction (NSF) has seriously threatened the safety of piled building foundations. In order to study the mechanism of the NSF of piles during the mining subsidence process, a set of pile test model using transparent soil was developed.
Computer Science > Artificial Intelligence
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Impact of Slaughter-Induced Stress on Biochemical Deterioration and Flavor Stability of Greater Amberjack ( Seriola dumerili ) Fillets During Iced Storage
M., Z.Li, J.Huang, et al. 2026. “Impact of Slaughter-Induced Stress on Biochemical Deterioration and Flavor Stability of Greater Amberjack (Seriola dumerili) Fillets During Iced Storage.” Journal of Food Science91, no. 4: e70986. Wang, https://doi.org/10.1111/1750-3841.70986 Conflicts of Interest The authors declare no conflicts of interest.
Enhancing Optoelectronic Performance of Organic Phototransistors through Surface Doping of Tetra-bromo Perylene Diimide Single Crystals
Enhancing Optoelectronic Performance of Organic Phototransistors through Surface Doping of Tetra-bromo Perylene Diimide Single Crystals Organic phototransistors (OPTs) built from organic single crystals offer distinct advantages over their thin-film counterparts due to their superior charge transport, large surface area, and defect-free molecular arrangement.
Integration of Perylene Diimide into a Covalent Organic Framework for Photocatalytic Oxidation
Conflict of Interests The authors declare no conflict of interest. Supporting Information As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors.
Integration of Perylene Diimide into a Covalent Organic Framework for Photocatalytic Oxidation
Supporting Information As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors.
How AI improves operations on NOAA GOES-R weather and environmental satellites
Home News How AI improves operations on NOAA GOES-R weather and environmental satellites Write a comment How NOAA's GOES-R weather and climate monitoring satellites are using new AI to monitor spacecraft operations. The post How AI improves operations on NOAA GOES-R weather and environmental satellites appeared first on SpaceNews. Read more from original source...
How AI improves operations on NOAA GOES-R weather and environmental satellites
On June 25, the National Oceanic and Atmospheric Administration (NOAA) launched the fourth and final satellite of the Geostationary Operational Environmental Satellites (GOES)-R program. This latest launch, known as GOES-U, continued and extended the program’s objective of serving as the Western hemisphere’s most sophisticated system for observing weather and monitoring the environment, according to the World Meteorological Organization.
Learning Kernel Stein Discrepancy for Training Energy-Based Models
1. Introduction In unsupervised learning, training unnormalized density models and generating similar samples are hot topics, which are also the fundamental work in probability statistics [1]. In density estimation, we often achieve an unnormalized model, which contains a normalization constant. The computation of this normalization constant has been proven to be an NP-hard problem and intractable in high-dimensional datasets [2].
Identification of the Immune Landscapes and Follicular Helper T Cell-Related Genes for the Diagnosis of Age-Related Macular Degeneration
Open AccessArticle by 1,†, 2,3,†, 4,†, 1, 1, 1, 1 and 1,* 1 The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing 100730, China 2 Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan 430060, China 3 Central Laboratory, Renmin Hospital of Wuhan University, Wuhan 430060, China 4 Department of Ophthalmology,...
Discriminator-Enhanced Knowledge-Distillation Networks
Open AccessArticle by Zhenping Li 1,2,†, Zhen Cao 3,†, Pengfei Li 3,†, Yong Zhong 1,2 and Shaobo Li 1,4,* 1 Chengdu Institute of Computer Applications, Chinese Academy of Sciences, Chengdu 610041, China 2 School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China 3 School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore 4 Key Laboratory of Advanced Manufacturing...
Multi-Hop Question Generation with Knowledge Graph-Enhanced Language Model
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Activation of AMP-Activated Protein Kinases Prevents Atrial Fibrillation
Abstract Atrial fibrillation (AF) is common, yet there is no preventive therapy for AF. We tested the efficacy of AMP-activated protein kinase (AMPK) activators, metformin, and aspirin, in primary prevention of AF in cardiac-specific liver kinase B1 (LKB1) knockout (KO) mouse model of AF.
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