A5046260678- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Catalytic C–H Functionalization Methods
- Nanoplatforms for cancer theranostics
- Computational Drug Discovery Methods
- Vibration Control and Rheological Fluids
- Catalytic Alkyne Reactions
- Photodynamic Therapy Research Studies
- Seismic Performance and Analysis
- Advanced Photocatalysis Techniques
- 3D Surveying and Cultural Heritage
- Ocular Infections and Treatments
- Oxidative Organic Chemistry Reactions
- Catalytic Processes in Materials Science
- Robotics and Sensor-Based Localization
- Remote Sensing and Land Use
- Advanced ceramic materials synthesis
- Nanoparticle-Based Drug Delivery
- Ferroelectric and Negative Capacitance Devices
- Fluorine in Organic Chemistry
- Electrochemical Analysis and Applications
- Ocular Surface and Contact Lens
- Advanced Graph Neural Networks
- Vibration and Dynamic Analysis
Beijing Institute of Big Data Research
2025
Beijing Jiaotong University
2025
Northwestern University
2022-2024
Shandong University
2022-2024
Kunming Medical University
2024
Kunming University of Science and Technology
2024
Henan University
2021-2024
Hebei University of Technology
2024
Inner Mongolia University
2023-2024
Fuzhou University
2024
Social recommendation leverages social information to solve data sparsity and cold-start problems in traditional collaborative filtering methods. However, most existing models assume that effects from friend users are static under the forms of constant weights or fixed constraints. To relax this strong assumption, paper, we propose dual graph attention networks collaboratively learn representations for two-fold effects, where one is modeled by a user-specific weight other dynamic...
Endophthalmitis, derived from the infections of pathogens, is a common complication during use ophthalmology-related biomaterials and after ophthalmic surgery. Herein, aiming at efficient photodynamic therapy (PDT) bacterial biofilm eradication endophthalmitis, pH-responsive zeolitic imidazolate framework-8-polyacrylic acid (ZIF-8-PAA) material constructed for infection-targeted delivery ammonium methylbenzene blue (MB), broad-spectrum photosensitizer antibacterial agent. Polyacrylic (PAA)...
We propose Super Odometry, a high-precision multi-modal sensor fusion framework, providing simple but effective way to fuse multiple sensors such as LiDAR, camera, and IMU achieve robust state estimation in perceptually-degraded environments. Different from traditional sensor-fusion methods, Odometry employs an IMU-centric data processing pipeline, which combines the advantages of loosely coupled methods with tightly recovers motion coarse-to-fine manner. The proposed framework is composed...
Wide-bandgap metal halide perovskites have demonstrated promise in multijunction photovoltaic (PV) cells. However, photoinduced phase segregation and the resultant low open-circuit voltage (V
Chemotherapy is still an important and effective clinical treatment for cancer. However, individual drugs hardly achieve precise controlled release targeted therapy, thus resulting in unavoidable side effects. Fortunately, the emergence of drug carriers expected to solve above problems. In this work, MOF-on-MOF strategy was adopted encapsulate DOX into double-layer NH2-MIL-88B fabricate a core–shell-structured DOX@NH2-MIL-88B-On-NH2-MIL-88B (DMM) then realize pH GSH dual-responsive release....
Abstract The accurate perception of multiple flight parameters, such as the angle attack, sideslip, and airflow velocity, is essential for control micro air vehicles, which conventionally rely on arrays pressure or velocity sensors. Here, we present estimation parameters using a single flexible calorimetric flow sensor featuring sophisticated structural design with suspended array highly sensitive vanadium oxide thermistors. proposed achieves an unprecedented resolution 0.11 mm·s −1 angular...
In recent decades, bacterial and viral infections chronic inflammatory response have emerged as important causes of cancer. Also, remain a significant cause morbidity mortality in cancer patients. this work, carboxymethyl chitosan nanoparticles (CMC NPs) were synthesized facile green way further combined with ammonium methylbenzene blue (MB) cross-linking agent well fluorescent molecule photosensitizer for self-imaging photodynamic therapy (PDT). The obtained CMC–MB NPs exhibited an apparent...
A photoredox-/copper-catalyzed decarboxylative difluoroacetylation reaction of α,β-unsaturated carboxylic acids has been developed. This produces a variety difluoroalkylated alkenes in moderate to excellent yields and exhibits satisfactory stereoselectivity broad substrate scope at ambient temperature. Furthermore, this protocol provides efficient environment friendly access the alkenes.
An unprecedented Lewis acid catalyzed [4 + 3] cycloaddition reaction is described that provides a straightforward route to polycyclic products containing an imine-based indole azepine scaffold, starting from readily available internal tertiary alkynols and azides. This protocol efficient atom-economical access new class of fascinating imine-containing in satisfactory yields, which has shown good application the construction seven-membered N-heterocycles.
Abstract Corneal injectable hydrogels represent a promising alternative to alleviate donor shortage and simplify traditional surgeries. However, most focus on repairing focal corneal defects (≤3.5 mm) leave many clinical requirements unmet. Herein, novel ion‐activated bioadhesive hydrogel (IonBAH) is designed its long‐term performance of large (6 evaluated in rabbits for 6 months. The IonBAH dual‐network composed natural extracellular matrix peptide‐modified alginate, which enables desirable...
A BF3·OEt2–AgSCF3 mediated direct trifluoromethylthiolation/cascade cyclization of propynols involving the SCF3 anion nucleophilic pathway is developed. This protocol also provides an opportunity to construct valuable trifluoromethylthio-substituted 2H-chromene and 1,2-dihydroquinoline systems with high efficiency under mild conditions. Additionally, developed reaction system could be scaled up gram quantities in a satisfactory yield without inert gas protection.
To achieve robust motion estimation in visually degraded environments, thermal odometry has been an attraction the robotics community. However, most methods are purely based on classical feature extractors, which is difficult to establish correspondences successive frames due sudden photometric changes and large noise. solve this problem, we propose ThermalPoint, a lightweight detection network specifically tailored for producing keypoints images, providing notable anti-noise improvements...
The Yellow River Basin in Inner Mongolia (YRBIM) has witnessed major changes land use/land cover (LULC), which have had an impact on the basin’s ecosystem, context of fast economic development and urbanization. This study set out to investigate ecological risk key driving forces basin as LULC evolves. In order evaluate use a geographic detector model understand causes its spatial heterogeneity, we built landscape index (ERI) based from 1990 2020. findings indicate that between 2020,...
Abstract The angiotensin-converting enzyme 2 (ACE2) is a primary cell surface viral binding receptor for SARS-CoV-2, so finding new regulatory molecules to modulate ACE2 expression levels promising strategy against COVID-19. In the current study, we utilized islet organoids derived from human embryonic stem cells (hESCs), animal models and COVID-19 patients discover that fibroblast growth factor 7 (FGF7) enhances within islets, facilitating SARS-CoV-2 infection resulting in impaired insulin...
Abstract Graph neural networks (GNNs) have excelled in predictive modeling for both crystals and molecules, owing to the expressiveness of graph representations. High-entropy alloys (HEAs), however, lack chemical long-range order, limiting applicability current To overcome this challenge, we propose a representation HEAs as collection local environment (LE) graphs. Based on representation, introduce LESets machine learning model, an accurate, interpretable GNN HEA property prediction. We...
Abstract This study aims to investigate the role of anoikis‐related genes in diabetic foot (DF) by utilizing bioinformatics analysis identify key associated with anoikis DF. We selected GEO datasets GSE7014, GSE80178 and GSE68183 for extraction differentially expressed (DE‐ARGs). GO KEGG indicated that DE‐ARGs DF were primarily enriched apoptosis, positive regulation MAPK cascade, anoikis, focal adhesion PI3K‐Akt signalling pathway. Based on LASSO SVM‐RFE algorithms, we identified six...
Liquid phase exfoliation (LPE) of graphene is a potentially scalable method to produce conductive inks for printed electronic applications. Among LPE methods, wet jet milling (WJM) an emerging approach that uses high-speed, turbulent flow exfoliate nanoplatelets from graphite in continuous manner. Unlike prior WJM work based on toxic, high-boiling-point solvents such as n-methyl-2-pyrollidone (NMP), this study the environmentally friendly solvent ethanol and polymer stabilizer ethyl...
High-performance catalysts are crucial for sustainable energy conversion and human health. However, the discovery of faces challenges due to absence efficient approaches navigating vast high-dimensional structure composition spaces. In this study, we propose a high-throughput computational catalyst screening approach integrating density functional theory (DFT) Bayesian Optimization (BO). Within BO framework, an uncertainty-aware atomistic machine learning model, UPNet, which enables...