A5102794912- Tunneling and Rock Mechanics
- Drilling and Well Engineering
- Advanced Optical Sensing Technologies
- Optical Systems and Laser Technology
- Advanced materials and composites
- Laser Material Processing Techniques
- Rock Mechanics and Modeling
- Surface Treatment and Residual Stress
- Plant Gene Expression Analysis
- Advanced Image Fusion Techniques
- Metallic Glasses and Amorphous Alloys
- Image and Video Quality Assessment
- Ocular and Laser Science Research
- Image Enhancement Techniques
- Advanced machining processes and optimization
- Fungal Biology and Applications
- Plant biochemistry and biosynthesis
- Advanced Sensor and Control Systems
- Advanced Measurement and Detection Methods
- Microbial Natural Products and Biosynthesis
- High-Temperature Coating Behaviors
- Enhanced Oil Recovery Techniques
- High-Velocity Impact and Material Behavior
- Advanced Computational Techniques and Applications
- Titanium Alloys Microstructure and Properties
Shandong University
2014-2025
Tianjin Medical University
2025
Tianjin University
2025
Central South University
2014-2024
Research Institute of Petroleum Exploration and Development
2023-2024
State Key Laboratory of High Performance Complex Manufacturing
2023
China Geological Survey
2023
AVIC Optronics (China)
2018-2021
Tongji University
2016-2020
University of Shanghai for Science and Technology
2019
Phenylpropanoids play important roles in plant physiology and the enzyme 4-coumarate: coenzyme A ligase (4CL) catalyzes formation of thioesters. Despite extensive characterization various plants, functions 4CLs liverwort Marchantia paleacea remain unknown. Here, four from M. were isolated functionally analyzed. Heterologous expression Escherichia coli indicated presence different enzymatic activities enzymes. Mp4CL1 Mp4CL2 able to convert caffeic, p-coumaric, cinnamic, ferulic,...
Solving complex planning problems requires Large Language Models (LLMs) to explicitly model the state transition avoid rule violations, comply with constraints, and ensure optimality-a task hindered by inherent ambiguity of natural language. To overcome such ambiguity, Planning Domain Definition (PDDL) is leveraged as a abstraction that enables precise formal descriptions. With PDDL, we can generate symbolic world where classic searching algorithms, A*, be seamlessly applied find optimal...
Image quality assessment (IQA) is a fundamental yet constantly developing task for computer vision and image processing. Most IQA evaluation mechanisms are based on the pertinence of subjective objective estimation. Each distortion type has its own property correlated with human perception. However, this intrinsic may not be fully exploited by existing methods. In paper, we make two main contributions to field. First, novel method developed local linear model that examines between reference...
A number of image quality assessment (IQA) metrics have been designed in recent years for natural images, leading to a desire develop IQA approaches screen content which is composed textual as well pictorial regions and exhibits different visual characteristics from the image. In this work, no reference metric based on convolutional neural network (CNN) proposed image, fuses scores patches by taking differences their features into accounts. Experimental results benchmark database (SIQAD)...
A cold-rolled Ti-6Al-4V sheet was subjected to three different heat treatments prior processing by high pressure torsion (HPT). Quantitative measurements revealed that the volume fractions were 70% equiaxed α phase and 30% lamellar (α + β) (Ti64-1), 47% 53% (Ti64-2) 25% 75% (Ti64-3) grain sizes of 7.0 ± 2 μm, 9.0 1.5 μm 9.5 respectively. The HPT performed at room temperature with a 6.0 GPa rotation speed 1 rpm. Processing treatment batches conducted through total number revolutions, N, 1/4,...
The past decade has witnessed a growing development of Image Quality Assessment (IQA) techniques. However, the researches IQA with multiple distortion types are still limited especially on blind image quality assessment methods. In this paper, Convolutional Neural Network (CNN) based method is proposed to predict multiply distorted images without references. Inspired by early human visual model, CNN combines feature learning and regression for estimating images. network consists one...
Abstract The mud cake is easily formed during the tunnel boring machine (TBM) excavation in clay soils or rocks containing minerals. Mud will lead to soil disturbance of face, clogging cutterhead and even affect construction efficiency personnel safety. In this study, a discrimination method formation based on temperature was proposed. An online monitoring system designed installed slurry balance TBM. results show that: (a) data can be reliably detected transmitted by system; (b) tunneling...
The past decades have witnessed a growing development of image quality assessment (IQA). However, there is still much room to improve the IQA performance, especially for no reference problem. In this paper, convolutional neural network (CNN) based approach designed predict distortion type an and assess its without original reference. With proposed CNN approach, divided into patches selective weighted average method fuse score from with aid recognized type. Experimental results on benchmark...
The key enzymes involved in the flavonoid biosynthesis pathway have been extensively studied seed plants, but relatively less ferns. In this study, two 4-Coumarate: coenzyme A ligases (Sc4CL1 and Sc4CL2) one novel chalcone synthase (ScCHS1) were functionally characterized by mining Stenoloma chusanum transcriptome database. Recombinant Sc4CLs able to esterify various hydroxycinnamic acids corresponding acyl-coenzyme (CoA). ScCHS1 could catalyze p-coumaroyl-CoA, cinnamoyl-CoA, caffeoyl-CoA,...