A5101106055- Hydraulic flow and structures
- Hydrology and Sediment Transport Processes
- Online Learning and Analytics
- Geotechnical Engineering and Analysis
- Educational Technology and Assessment
- Simulation and Modeling Applications
- Artificial Intelligence in Healthcare and Education
- Inflammasome and immune disorders
- BIM and Construction Integration
- Microstructure and Mechanical Properties of Steels
- Fluid Dynamics and Turbulent Flows
- Endoplasmic Reticulum Stress and Disease
- Computational Fluid Dynamics and Aerodynamics
- Advanced materials and composites
- Underground infrastructure and sustainability
- Health, psychology, and well-being
- Amino Acid Enzymes and Metabolism
- Calpain Protease Function and Regulation
- 3D Shape Modeling and Analysis
- Human Motion and Animation
- Virtual Reality Applications and Impacts
- Cyclone Separators and Fluid Dynamics
- Complex Network Analysis Techniques
- Flow Measurement and Analysis
- Gas Dynamics and Kinetic Theory
Fudan University
2024
Dalian University of Technology
2024
Shenyang Aerospace University
2024
Dalian University
2024
Harbin Institute of Technology
2024
Monash University
2024
China University of Petroleum, Beijing
2023
Jinan University
2023
Southern University of Science and Technology
2023
Henan University of Traditional Chinese Medicine
2023
Alongside the transition towards sustainable and renewable infrastructure energy production, tunnelling projects that adopt tunnel boring machines (TBM) continue to increase in size complexity. Life Cycle Assessment (LCA) methodologies have a significant impact on Architecture, Engineering Construction (AEC) industry, with shift focus cost carbon management across lifecycle through use of digitalisation techniques sustainability rating systems. This paper aims develop systematic framework...
Abstract Non‐alcoholic fatty liver disease (NAFLD) is a prominent cause of various chronic metabolic hepatic diseases with limited therapeutics. Rubicon, an essential regulator in lysosomal degradation, reported to exacerbate steatosis NAFLD mice and patients, indicating its probability being therapeutic target for treatment. In this study, the potential Rubicon blockage investigated. Lipid nanoparticles carrying Rubicon‐specific CRISPR‐Cas9 components exhibited accumulation, cell...
The effects of solution treatment and annealing temperature on the microstructure mechanical properties a new TWIP steel that was alloyed from aluminum (Al), silicon (Si), vanadium (V), molybdenum (Mo) elements were investigated by variety techniques such as microstructural characterization room tensile testing. austenite grain size grew slowly with increase in temperature. relatively weak effect attributed to precipitation MC M2C, which hindered growth grain. plasticity cold rolling after...
With the continuous in-depth study of interaction mechanism between viruses and hosts, virus has become a promising tool in cancer treatment. In fact, many oncolytic with selectivity effectiveness have been used therapy. Human enterovirus is one most convenient sources to generate viruses, however, high seroprevalence some enteroviruses limits its application which urges exploit more enteroviruses. this study, coxsackievirus B5/Faulkner (CV-B5/F) was screened for potential effect against...
Herein, to address the challenges faced by Automatic Guided Vehicles (AGVs) in construction site environments, including heavy vehicle loads, extensive road search areas, and randomly distributed obstacles, this paper presents a hierarchical trajectory planning algorithm that combines coarse precise planning. In first-level planning, lateral longitudinal sampling is performed based on environment constraints. A multi-criteria cost function designed, taking into account factors such as...
Temperature plays a pivotal role in moderating label softness the realm of knowledge distillation (KD). Traditional approaches often employ static temperature throughout KD process, which fails to address nuanced complexities samples with varying levels difficulty and overlooks distinct capabilities different teacher-student pairings. This leads less-than-ideal transfer knowledge. To improve process propagation, we proposed Dynamic Knowledge Distillation (DTKD) introduces dynamic,...
Acute liver failure (ALF) is a serious inflammatory disorder with high mortality rates, which poses significant threat to human health. The IL-33/ST2 signal crucial regulator in inflammation responses associated lipopolysaccharide (LPS)-induced macrophages. IL-17A signaling pathway promotes the release of chemokines and cytokines, recruiting neutrophils T cells under LPS stimulation, thus facilitating responses. Here, potential therapeutic benefits neutralizing modulating ALF were...
This paper is concerned with the simulation and experimental study of hydraulic characteristics in a pilot Carrousel oxidation ditch for optimization submerged depth ratio surface aerators. The was based on large eddy Smagorinsky model, velocity monitored ditches an acoustic Doppler velocimeter method. Comparisons simulated velocities ones show good agreement, which validates that accuracy this good. best 2/3 aerators obtained according to analysis flow field structure, gas liquid bottom...
This paper presents a neural network approach for pneumonia image classification. Utilizing thousands of actual X-ray images from both patients and healthy individuals, classification model is developed. model, prevalent machine learning technique, employed as an adjunct tool to aid diagnosis pre-screening. The algorithms utilized in the study are comprehensively analyzed detailed. Through examination network's architecture, several effective methods enhancing proposed, leading improved...
Nowadays, the versatile capabilities of Pre-trained Large Language Models (LLMs) have attracted much attention from industry. However, some vertical domains are more interested in in-domain LLMs. For Networks domain, we present NetEval, an evaluation set for measuring comprehensive LLMs Network Operations (NetOps). NetEval is designed evaluating commonsense knowledge and inference ability NetOps a multi-lingual context. consists 5,732 questions about NetOps, covering five different...
Recent studies revealed that endoplasmic reticulum (ER) stress played an emerging role of in valve calcification. Tanshinone IIA (TanIIA) has been a research hotspot cardiovascular diseases. Previously we found sodium TanIIA dampened the pathological phenotype transition valvular interstitial cells (VICs) by affecting ER published Chinese Journal. Here, test hypothesis attenuates pro-osteogenic effects oxidized low-density lipoprotein (oxLDL) VICs reducing induction stress. Patients' aortic...
This article expounds and analyzes the development based on Unity3D engine. paper discusses analysis of 2048 game projects simulation city in environment U3D by using C# language technology.
Computer technology is one of the most important technologies in 21st century, with a wide application field. It has realized its value education field and promoted development. Examination-oriented urgently needs reform many disadvantages China. The introduction computer changed original educational environment made outstanding contributions on reform, increasing lot new teaching facilities. Therefore, essential reform. Moreover, true modernization been achieved for development technology.
Summary Hydrocarbon accumulation has a great influence on the characteristics of seismic wave propagation. For example, deep thermal methane gas migrates upward, and there is large amount free in middle shallow layers. The formation often induce chimney. This brings difficulties to interpretation underlying strata. In order effectively predict spatial distribution gas, it necessary study this study, simulate loose rocks onshore offshore strata, synthetic sandstones were used for ultrasonic...
This paper focuses on adaptive dynamic surface composite control subjected to state constraints and multiple uncertainties in integrated guidance (IGC) design for skid-to-turn missiles. The novel IGC algorithm incorporates with the barrier Lyapunov function. Composite this takes a superior approach by introducing estimated information of system states from series-parallel estimation model into neural network under framework achieve learning, which makes learn more accurately disturbance....