A5100315890- Corneal surgery and disorders
- Ophthalmology and Visual Impairment Studies
- Ginkgo biloba and Cashew Applications
- Radiation Detection and Scintillator Technologies
- Glaucoma and retinal disorders
- Luminescence Properties of Advanced Materials
- Microbial Metabolites in Food Biotechnology
- Toxic Organic Pollutants Impact
- Microbial Metabolic Engineering and Bioproduction
- Myasthenia Gravis and Thymoma
- Image Enhancement Techniques
- Nuclear Receptors and Signaling
- Advanced Control Systems Design
- Ocular Infections and Treatments
- Catalysis for Biomass Conversion
- Liver physiology and pathology
- Diverse Topics in Contemporary Research
- Cavitation Phenomena in Pumps
- Medicinal Plants and Bioactive Compounds
- Groundwater and Isotope Geochemistry
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Biofuel production and bioconversion
- Integrated Energy Systems Optimization
- Advanced Neural Network Applications
- Power System Reliability and Maintenance
Shenyang Ligong University
2024-2025
Leibniz Institute for Baltic Sea Research
2025
Affiliated Hospital of Southwest Medical University
2023-2024
Hong Kong Polytechnic University
2024
Louisiana State University
2024
Shanghai Electric (China)
2024
Institute of Economics
2024
Soochow University
2024
First Affiliated Hospital of Soochow University
2024
Second Affiliated Hospital of Zhejiang University
2024
MET proto-oncogene (MET) alterations are known driver oncogenes in non-small cell lung cancer (NSCLC).Since the identification of as a potential therapeutic target, extensive clinical trials have been performed.As result, MET-targeted therapies, including tyrosine kinase inhibitors, monoclonal antibodies, and antibodydrug conjugates, now play important roles standard treatment MET-altered NSCLC; they considerably improved outcomes patients with tumors that harbor oncogenic drivers.Although...
Using Nafion212 membrane and TEOS solution as raw materials, Nafion212/SiO2 composite membranes were prepared. In the in situ sol-gel reaction process, a series of Nafion/SiO2 prepared by varying temperature time. The effects different modification schemes on studied using SEM, EDS, TEM, TGA, XRD, mechanical tensile experiments, among other methods. results show that at 3°C exhibit well-separated phase structure excellent water retention properties, with uptake 29.23% swelling ratio 24.25%....
Abstract Concurrent heatwaves and extreme sea levels could pose a serious threat to coastal communities under climate change; however, the spatiotemporal characteristics dynamic evolution of them along global coastline remain poorly understood. Here, we use reanalysis datasets model projections assess historical future changes in concurrent levels. We find that 87.73% coastlines experienced such extremes during 1979–2017. There is an average increase 3.72 days occurrence 1998–2017 compared...
Remote sensing object detection faces significant challenges due to the varying resolutions of images and diverse shapes objects. In this paper, we introduce an innovative approach enhance networks in remote by addressing these issues through a novel two-stage training process. Our key contributions include development combined low-resolution pretraining high-resolution fine-tuning strategy, which significantly improves model's generalization capability across different resolutions.We have...
The Baltic Sea, a semi-enclosed marginal sea with catchment area four times its size, acts as sink and continues to show detectable levels of persistent organic pollutants (POPs) in sediments. This is attributed the synthesis industrial use commercial polychlorinated biphenyls (PCB) products, well widespread discharge certain chlorinated pesticides into natural environment during last century. Our study investigates hydrocarbon pollutants, (PCBs), dichlorodiphenyltrichloroethane (DDT)...
We report a label-free capillary zone electrophoresis platform enabling quantitative analysis of antibody-oligonucleotide conjugates (AOCs) heterogeneity with single-stranded oligonucleotide (21 nt) resolution. This methodology resolves free antibodies, oligonucleotides, and AOC...
As online consumer behavior shifts, the Metaverse emerges as a buzzword, particularly for luxury brands seeking new dimensions. Vitual fashion, NFTs, and blockchain technology in redefine brand-consumer interactions. This study aims to explore impact of with focus on brand engagement loyalty. It introduces conceptual model based Social Presence Theory, proposing hypotheses that link accessibility, media richness, image The findings anticipate potential transformation urging further...
Ginkgo biloba leaves flavonoids (GBLF) has extensive applications for its special physico-chemical properties. In this paper, (ERF) was synthesized by an endophytic Rhodococcus sp. FY-5 from biloba. UV-visible spectrum showed that the main absorption peaks of ERF and GBLF were consistent with UV spectral characteristics flavonoids. FTIR exhibited characteristic hydroxyl carbonyl. Liquid chromatography-mass spectrometry (LC-MS) analysis revealed similar components in both GBLF. Thermal...
We propose an actor-critic framework to solve the time-continuous stochastic optimal control problem. A least square temporal difference method is applied compute value function for critic. The policy gradient implemented as improvement actor. Our key contribution lies in establishing global convergence property of our proposed flow, demonstrating a linear rate convergence. Theoretical findings are further validated through numerical examples, showing efficacy approach practical applications.
Abstract Purpose To evaluate the efficacy of next-generation sequencing (NGS) in minimal-residual-disease (MRD) monitoring Chinese patients with multiple myeloma (MM). Methods This study analyzed 60 MM patients. During MRD these patients’ post-therapy, clonal immunoglobulin heavy chain (IGH) rearrangements were detected via NGS using LymphoTrack assays. was performed or flow cytometry (NGF), and results compared. Additionally, sensitivity reproducibility method assessed. Results The...
The ability of learning useful features is one the major advantages neural networks. Although recent works show that network can operate in a tangent kernel (NTK) regime does not allow feature learning, many also demonstrate potential for networks to go beyond NTK and perform learning. Recently, line work highlighted capabilities early stages gradient-based training. In this paper we consider another mechanism via gradient descent through local convergence analysis. We once loss below...
The controller design and parameter tuning of the hydraulic turbine governing system are critical for ensuring stability safety operation. In this study, we propose a novel fractional‐order PID plus second‐order derivative (FOPID2D) HTGS system. addition, develop modified strength Pareto evolutionary algorithm II (MSPEA2) to optimize parameters with multiple objectives. By combining fractional calculus derivative, FOPID2D offers enhanced control flexibility compared conventional controller....
We propose a quantum optimal control framework based on the Pontryagin Maximum Principle to design energy- and time-efficient pulses for open systems. By formulating Langevin equation of dissipative LC circuit as linear problem, we derive optimized with exponential scaling in energy cost, outperforming conventional shortcut-to-adiabaticity methods such counter-diabatic driving. When applied resonator dispersively coupled qubit, these achieve an excellent signal-to-noise ratio comparable...
Point cloud semantic segmentation is one of the fundamental tasks for 3D scene understanding. The solution based on fully convolutional neural network mainstream practice segmentation. Recent works combining transformers have achieved stunning performance. However, most these methods focused more space coordinates, little attention has been drawn to normal vectors and color features, which play a significant role in LIDAR point registration rendering tasks. In this paper, we propose several...