A5035716081- Immunotherapy and Immune Responses
- Cancer Immunotherapy and Biomarkers
- Dental Implant Techniques and Outcomes
- Lung Cancer Diagnosis and Treatment
- Brain Tumor Detection and Classification
- Dental Research and COVID-19
- Bone Tissue Engineering Materials
- Recommender Systems and Techniques
- Dental materials and restorations
- Radiomics and Machine Learning in Medical Imaging
- Advanced Graph Neural Networks
- Orthopaedic implants and arthroplasty
- Advanced Measurement and Detection Methods
- Mitochondrial Function and Pathology
- AI in Service Interactions
- Cybercrime and Law Enforcement Studies
- Polymer-Based Agricultural Enhancements
- Risk and Portfolio Optimization
- Mental Health via Writing
- Medical and Biological Sciences
- COVID-19 diagnosis using AI
- Polyoxometalates: Synthesis and Applications
- Pharmacological Effects and Toxicity Studies
- Cognitive Radio Networks and Spectrum Sensing
- Dental Radiography and Imaging
University of Science and Technology of China
2022-2024
Guangdong University Of Finances and Economics
2019-2024
Guangdong University of Finance
2019-2024
Stomatology Hospital
2015-2024
Sun Yat-sen University
2002-2024
Hefei National Center for Physical Sciences at Nanoscale
2022
Capital Medical University
2018
Shanxi Normal University
2016
Hospital of Stomatology, Sun Yat-sen University
2015-2016
Chemotherapeutics have the potential to increase efficacy of cancer immunotherapies by stimulating production damage-associated molecular patterns (DAMPs) and eliciting mutations that result in neoantigens, thereby increasing immunogenicity cancerous lesions. However, dose-limiting toxicity limited chemotherapeutics are not sufficient induce a robust antitumor response. We hypothesized cells vitro treated with ultrahigh doses various artificially increased abundance, variety, specificity...
Segmentation of pulmonary nodule in thoracic computed tomography (CT) plays an important role the computer-aided diagnosis (CAD) and clinical practices. However, segmentation nodules still remains a challenging task due to presence intrinsic noise, low contrast, intensity-profile inhomogeneity, variable sizes shapes. Many variants extensions fuzzy C-mean (FCM) clustering algorithm have been developed preserve image details as well suppress noises. these overemphasize importance spatial...
Two methylated nicotinohydrazide iodoargentate hybrids have been synthesized <italic>via</italic> modulating organic/inorganic ratio, which exhibit rare structure-dependent electron-transfer (ET) photochromism.
Virtual streamers, as a typical application of AI-enabled digital humans, are increasingly being utilized in live-streaming commerce due to technological advancements and industry innovations. Although virtual streamers present several benefits, there is potential for adverse effects when they do not align with consumer expectations. Drawing upon expectancy violations theory, this study developed theoretical model explore whether how consumers' expectation during human-virtual streamer...
Automatic and accurate segmentation of ground glass opacity (GGO) nodules still remains challenging due to inhomogeneous interiors, irregular shapes, blurred boundaries from different patients. Despite successful applications in the image processing domains, random walk has some limitations for GGO pulmonary nodules. In this paper, an improved walker method is proposed To calculate a new affinity matrix, intensity, spatial, texture features are incorporated. It strengthens discriminative...
With the explosive growth of data, personalized recommendation systems have become an essential component in digitally-driven society. However, one main challenges faced by traditional algorithms is difficulty obtaining accurate user preferences, especially for users with limited historical interaction data., which ultimately impacts performance these methods. To address this challenge, paper proposes a method, named STRGAN (Social trust relationships Generative Adversarial Network), it...
Semi-supervised object detection helps to monitor and manage maritime transportation effectively, saving labeling costs. Currently, many semi-supervised methods use a combination of data augmentation pseudo-label improve model performance. However, these may get into trouble in complex scenes, including occlusion, scale variations lighting variations, leading distribution bias between labeled unlabeled bias. To address problems, we propose method scenes based on adaptive adversarial...
Abstract Boron neutron capture therapy (BNCT), which uses high‐energy particles generated by the reaction of 10 B isotope with thermal neutrons to kill tumor cells precisely at microscale, has become a promising treatment approach aggressive and recurrent cancers. The development highly selective boron drugs for devices beams is crucial BNCT. Borophenylalanine (BPA), most widely used containing drug in clinic, problems fast metabolism poor retention. Therefore, improve therapeutic effect...
Segmentation of Ground Glass Opacity (GGO) nodules is still an emerging and challenging research problem due to inhomogeneous interiors, blurred boundaries, irregular shapes across different patients. In order segment GGO pulmonary nodules, a novel random walk with Gaussian Mixture Model statistical inference (known as RW_GMM) algorithm proposed in this paper. During the graph construction step, intensity, texture spatial distance features are incorporated calculate new affinity matrix. The...
To explore biomimetic mineralization of polyelectrolyte multilayer films (PEM) gene-loaded lipopolysaccharide-amine nanopolymersomes/hyaluronic acid self assembled on titanium surface.Via lay-by-layer assembly technology, PEM were constructed or quartz surface using bone morphogenetic protein-2(BMP-2) plasmid-loaded nanopolymersomes(pLNP) as a polycation, and hyaluronic acid(HA) polyanion. The defined substrate-pLNP-(HA-pLNP)n, where successive deposition HA pLNP substrate was one cycle, n...
Spectrum sensing efficiency is a critical performance indicator of cognitive communications. Exist efforts improvement rely on parameters the physical layer, which makes results influenced significantly by implementations. Besides that, most methods tend to solely optimization secondary users' strategies, inevitably increases implementation complexity. In this work, we focus MAC-layer and improve it optimizing spectrum occupancy primary user schedule jointly. Our contributions lie in several...
Objective To evaluate the influence of veneer pore defects on fracture behavior bilayered lithium dislicate glass-ceramic (LDG) and zirconia (Y-TZP) molar crowns. Methods Bilayered maxillary first crown was fabricated scanned by micro CT to reconstruct size distribution in veneering porcelain. After importing pores according data, finite element analysis (FEA) models LDG Y-TZP crowns were constructed for mechanics simulation. For Group A, 200 N Static loads applied vertically occlusal...
At present, the digital photography plays a very important role in dental practices. The paper introduces attempt of basic training to undergraduate students clinical practice teaching, including content and significance training. It has been proved that applying this kind teaching is necessary feasible. But we also discovered problems during process. should be systematized standardized future. Key words: Digital photography; Stomatology; Clinical