A5100656128- Autonomous Vehicle Technology and Safety
- Robotic Path Planning Algorithms
- Infrared Target Detection Methodologies
- Bamboo properties and applications
- Concrete and Cement Materials Research
- Energy Load and Power Forecasting
- Advanced Measurement and Detection Methods
- Innovative concrete reinforcement materials
- Solar Radiation and Photovoltaics
- Natural Fiber Reinforced Composites
- Epoxy Resin Curing Processes
- Concrete Corrosion and Durability
- Retinal and Optic Conditions
- Traffic control and management
- Data Management and Algorithms
- Digital Media and Visual Art
- Evaluation and Optimization Models
- Healthcare and Venom Research
- Traffic Prediction and Management Techniques
- Human Motion and Animation
- Nanocomposite Films for Food Packaging
- Concrete Properties and Behavior
- Human-Automation Interaction and Safety
- Optical Systems and Laser Technology
- Power Systems and Renewable Energy
Sun Yat-sen University
2022-2025
Hong Kong University of Science and Technology
2022-2024
University of Hong Kong
2022-2024
Zhejiang A & F University
2023-2024
Central South University
2022-2023
Huaneng Clean Energy Research Institute
2023
Shanghai Jinyuan Senior High School
2023
Wuhan Institute of Bioengineering
2023
City University of Hong Kong
2021
China University of Mining and Technology
2019
In this paper, we theoretically explore the physical mechanism of fluorescent origin and chiral nature Möbius carbon nanobelts. The electron–hole recombination is promoted by aggregation on twisted moiety in relaxation process excited state, which results strong fluorescence. nanobelts revealed interaction between transition electric magnetic dipole moments, causes observed Cotton effects ECD spectra. strip molecules are inherently as a result their topology (i.e., generation two...
Reducing the energy consumed by space cooling and providing outstanding thermally insulated windows are essential requirements for a smart green building. In this study, new building design concept envelope/façade is proposed demonstrated, solution thermal management in buildings. This of buildings comprises two major passive energy-free technologies, daytime radiative cooler thermochromic window. The PDMS-silica-silver can provide effect to indoor environment without input, meanwhile window...
Introduction In the context of energy transition, competition for copper resources among countries has intensified, and global trade become a vitally important chain. The ore network is influenced by various factors, including resource distribution, supply, demand, prices, transportation costs, etc. Methods To understand evolution process to predict trend supply chain structure in future, this paper, we construct spatial weighted complex model based on theory gravity using import export data...
Mars is rich in color information, and images can more vividly represent its surface morphology, which helps scientists accurately interpret the geomorphological geological characteristics of Mars. However, modern telescopes remote sensing technology still haven't provided a quantitative answer to exact colors Martian surface. The Moderate Resolution Imaging Camera (MoRIC) on Tianwen-1 "true color" camera with red, green, blue spectral bands matching response range human eyes. In...
On May 15, 2021, China’s first Mars exploration mission, Tianwen-1 (TW-1), successfully landed its Zhurong rover in the southern Utopia Planitia on Mars. Pitted cones, a characteristic feature of both and landing area, play pivotal role understanding local geological processes. We conducted detailed investigation into spatial distribution, morphological characteristics, morphometric parameters these cones to uncover their origins. Using High-Resolution Imaging Camera images...
No AccessJournal of UrologyAdult Urology1 Jan 2016Preoperative Patient Reported Mental Health is Associated with High Grade Complications after Radical Cystectomy Pranav Sharma, Carl H. Henriksen, Kamran Zargar-Shoshtari, Ren Xin, Michael A. Poch, Julio M. Pow-Sang, Wade J. Sexton, Philippe E. Spiess, and Scott Gilbert SharmaPranav Sharma Department Genitourinary Oncology, Moffitt Cancer Center, Tampa, Florida , HenriksenCarl Henriksen Zargar-ShoshtariKamran Zargar-Shoshtari XinRen Xin...
Inspired by the fact that humans use diverse sensory organs to perceive world, sensors with different modalities are deployed in end-to-end driving obtain global context of 3D scene. In previous works, camera and LiDAR inputs fused through transformers for better performance. These normally further interpreted as high-level map information assist navigation tasks. Nevertheless, extracting useful from complex input is challenging, redundant may mislead agent negatively affect We propose a...
Disodium octoborate tetrahydrate (DOT) is a well-received and eco-friendly preservative. However, it prone to leaching from wood in humid conditions or rainy seasons, causing problems such as decreased efficiency resisting fungi poor surface performance finishing. To obtain enhanced resistance simultaneously achieve controlled release of DOT, pH temperature dual responsive poly (2-hydroxyethyl methacrylate/2-(Dimethylamino) ethyl methacrylate) (PDH) was prepared optimized for situ...
Bamboo, attributed to its short growth cycle and excellent mechanical properties, has become a popular alternative wood other building materials such as cement steel. However, susceptibility cracking molds hinders broad application in architecture furniture. In this study, the bioresin polyfurfuryl alcohol (PFA)-modified epoxy resin (EP)/polyetheramine (PEA) system was constructed situ cured inside bamboo. Results showed that epoxy/PFA could fill vascular bundles parenchyma cells of bamboo,...
BACKGROUND We aimed to explore the association between sleep duration and disorder variables obtained from National Health Nutrition Examination Survey (NHANES) stroke. MATERIAL AND METHODS This cross-sectional study enrolled 10 442 participants United States. The outcome variable was stroke diagnosed by a doctor. Sleep were assessed via self-report questionnaires included duration, time required fall asleep, frequency of deprivation, early morning wakefulness, middle night wakefulness. odds...
Safely interacting with other traffic participants is one of the core requirements for autonomous driving, especially in intersections and occlusions. Most existing approaches are designed particular scenarios require significant human labor parameter tuning to be applied different situations. To solve this problem, we first propose a learning-based Interaction Point Model (IPM), which describes interaction between agents protection time priority unified manner. We further integrate proposed...
The process monitoring method for industrial production can technically achieve early warning of abnormal situations and help operators make timely reliable response decisions. Because practical processes have multimodal operating conditions, the data distributions variables are different. different may cause fault detection model to be invalid. In addition, diagnosis cannot find correct root variable system failure by only identifying variables. There correlations between trend states If we...
Our goal is to train a neural planner that can capture diverse driving behaviors in complex urban scenarios. We observe even state-of-the-art planners are struggling perform common maneuvers such as lane change, which rather natural for human drivers. propose explore the multi-modalities planning problem and force explicitly consider different policies. This achieved by generating future trajectories conditioned on every possible reference line, could simply be centerline of surrounding...
Influenza virus and SARS-CoV-2 are two important viruses that cause respiratory tract diseases. The high-frequency mutation of the types leads to failure durable immune protection vaccines, meanwhile it also poses continuous challenges development antiviral drugs. Traditional Chinese medicine contains large number biologically active compounds, some them contain broad-spectrum ingredients. In this study, we extracted ingredients from medicinal edible plants by biotransformation enzymatic...
A common dilemma with deep-learning-based solar power forecasting models is their heavy dependence on a large amount of training data. Few-Shot Solar Power Forecasting (FSSPF) has been investigated in this paper, which aims to obtain accurate limited Integrating Transfer Learning and Meta-Learning, approaches Feature Rapid Adaptation (FTRA), have proposed for FSSPF. Specifically, the adopted model will be divided into Transferable learner Adaptive learner. Using massive data from source...
Renewable energy is clean, sustainable, and affordable, but its growing integration increases the volatility in price of electricity. However, many studies electricity forecasting are based on market with large amounts data fail to consider impact renewable energy. We applied a meta-learning approach predict 96-point day ahead three spot markets resources China compared performances Autoregressive Integrated Moving Average (ARIMA), Prophet, eXtreme Gradient Boosting (XGBoost), Light Machine...