- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Neutrino Physics Research
- Dark Matter and Cosmic Phenomena
- Video Surveillance and Tracking Methods
- Computational Physics and Python Applications
- Black Holes and Theoretical Physics
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Atomic and Subatomic Physics Research
- Image Enhancement Techniques
- Particle Accelerators and Free-Electron Lasers
- Nuclear physics research studies
- Fire Detection and Safety Systems
- Astrophysics and Cosmic Phenomena
- Visual Attention and Saliency Detection
- Topic Modeling
- Infrared Target Detection Methodologies
- Multimodal Machine Learning Applications
- Cryptography and Data Security
- Image and Signal Denoising Methods
- Blockchain Technology Applications and Security
- Human Pose and Action Recognition
- Medical Imaging Techniques and Applications
Nankai University
2022-2025
University of Chinese Academy of Sciences
2019-2025
Université Libre de Bruxelles
2016-2025
Beihang University
2010-2024
Samsung (China)
2024
Fudan University
2021-2024
Northeastern University
2020-2024
National Center for Biotechnology Information
2023-2024
National Institutes of Health
2023-2024
University of Maryland, College Park
2023-2024
It remains a great challenge to develop polymer-based materials with efficient and color-tunable organic afterglow. Two indolocarbazole derivatives IaCzA IbCzA have been synthesized doped into poly(vinyl alcohol) (PVA) matrices. is found that the resulting films can produce unique dual-mode afterglow, which composed of persistent thermally activated delayed fluorescence ultralong phosphorescence. Besides, IbCzA-doped PVA film exhibits intense blue afterglow Φafterglow τafterglow up 19.8 %...
Color-tunable dual-mode organic afterglow excited by ultraviolet (UV) and white light was achieved from classical aggregation-caused quenching compounds for the first time. Specifically, two luminescent systems, which could produce significant composed of persistent thermally activated delayed fluorescence ultralong phosphorescence under ambient conditions, were constructed doping fluorescein sodium calcein into aluminum sulfate. Their lifetimes surpassed 600 ms, dopant concentrations as low...
Abstract It remains a great challenge to develop polymer‐based materials with efficient and color‐tunable organic afterglow. Two indolocarbazole derivatives IaCzA IbCzA have been synthesized doped into poly(vinyl alcohol) (PVA) matrices. is found that the resulting films can produce unique dual‐mode afterglow, which composed of persistent thermally activated delayed fluorescence ultralong phosphorescence. Besides, IbCzA‐doped PVA film exhibits intense blue afterglow Φ τ up 19.8 % 1.81 s,...
Clinical trials are often hindered by the challenge of patient recruitment. In this work, we introduce TrialGPT, a first-of-its-kind large language model (LLM) framework to assist patient-to-trial matching. Given note, TrialGPT predicts patient's eligibility on criterion-by-criterion basis and then consolidates these predictions assess for target trial. We evaluate trial-level prediction performance three publicly available cohorts 184 patients with over 18,000 trial annotations. also...
According to Darwinian evolutionary theory, numerous species in the wild have developed remarkable adaptive mechanisms, involving pattern rearrangement and environmental assimilation, evade predators. These obfuscation strategies pose significant challenges for both individuals algorithms when performing Camouflage Object Detection (COD) task complex intricate scenarios. Inspired by human COD task, which involve assigning uncertainties entire input then focusing on highly uncertain areas...
Purpose This study aims to modify the human factors analysis and classification system (HFACS) make it suitable for collapse accident in construction. Based upon modified HFACS, distribution patterns of causal across multiple levels were discerned among various stakeholders at construction sites. It explored correlations between two from different further determined causation paths perspectives level stakeholder. Design/methodology/approach The main research framework consisted data...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTReversible Fullerene Electrochemistry: Correlation with the HOMO-LUMO Energy Difference for C60, C70, C76, C78, and C84Yifan Yang, Francisco Arias, Luis Echegoyen, L. P. Felipe Chibante, Scott Flanagan, Andrew Robertson, Lon J. WilsonCite this: Am. Chem. Soc. 1995, 117, 29, 7801–7804Publication Date (Print):July 1, 1995Publication History Published online1 May 2002Published inissue 1 July...
This paper studied generating natural languages at particular contexts or situations. We proposed two novel approaches which encode the into a continuous semantic representation and then decode text sequences with recurrent neural networks. During decoding, context information are attended through gating mechanism, addressing problem of long-range dependency caused by lengthy sequences. evaluate effectiveness on user review data, in rich available informative contexts, sentiments products,...
Recently, by virtue of the high computational efficiency and accuracy, discriminative correlation filter (DCF)- based tracking methods have gained attraction in field unmanned aerial vehicle (UAV). However, conventional DCF-based merely rely on cyclic shift to produce training samples. As a result, trained these samples owns limited ability, ineffectively addressing various challenges stage. Here, promote filter's we develop feature block-aware (CF) method. Specifically, extracted is divided...
The genus Hydrogenobacter consists of extremely thermophilic, obligately chemolithotrophic organisms that exhibit anaerobic anabolism but aerobic catabolism. Preliminary studies the phylogenetic position these based on limited 16S ribosomal DNA sequence data suggested they belong to one earliest branching orders Bacteria. In this study, complete sequences two type strains, thermophilus TK-6 and Calderobacterium hydrogenophilum Z-829, another isolate, sp. strain T3, were determined, positions...
As the Internet-of-Things (IoT) and edge computing have been major paradigms for distributed data collection, communication, processing, smart city applications in real world tend to adopt IoT broadly. Today, more machine learning algorithms would be deployed into front-end sensors, devices, centres rather than centralised cloud centres. However, sensors devices are usually not so capable as those units huge centres, this sake, practice, engineers choose compromise limited capacity of...
As a significant research direction in remote sensing fields, unmanned aerial vehicles (UAVs) tracking has achieved rapid development recent years. However, due to limited power and computation resources on platforms, the methods deployed UAVs usually require high computational efficiency performance. In addition, various challenges (i.e., similar object, background clutter occlusion) have inevitably occurred during UAV phase. Therefore, considering above issues comprehensively, this paper...
Triptolide (TP) is an epoxy diterpene lactone compound isolated and purified from the traditional Chinese medicinal plant Tripterygium wilfordii Hook. f., which has been shown to inhibit proliferation of hepatocellular carcinoma. However, due problems with solubility, bioavailability, adverse effects, use effectiveness drug are limited. In this study, a transferrin-modified TP liposome (TF-TP@LIP) was constructed for delivery TP. The thin-film hydration method used prepare TF-TP@LIP....
Map construction task plays a vital role in providing precise and comprehensive static environmental information essential for autonomous driving systems. Primary sensors include cameras LiDAR, with configurations varying between camera-only, LiDAR-only, or camera-LiDAR fusion, based on cost-performance considerations. While fusion-based methods typically perform best, existing approaches often neglect modality interaction rely simple fusion strategies, which suffer from the problems of...
Mathematics, continuously uncovers deeper laws in nature and society, expanding the boundaries of human knowledge. Particularly social sciences, application mathematics exhibits unique appeal has a profound impact on fields such as economics public administration. This study examines efficiency healthcare expenditure by Hubei provincial government, based applied mathematical concepts utilizing Data Envelopment Analysis method combined with Malmquist index model. The empirical analysis aims...
Accelerating urbanization development has a great impact on water environment with altered hydrological cycle process, deteriorating quality and redistributed quantity. In addition, urban river-lake networks have emerged as blend of natural engineered under artificial transformation. However, exchange relationships pollution patterns in such are complicated poorly understood due to various disturbances from both nature social activities. This study investigated chemistry stable isotopic...