A5058109538- Calcium Carbonate Crystallization and Inhibition
- Domain Adaptation and Few-Shot Learning
- Advanced Image and Video Retrieval Techniques
- Molecular Sensors and Ion Detection
- Bone Tissue Engineering Materials
- Advanced Materials and Mechanics
- Silk-based biomaterials and applications
- Human Mobility and Location-Based Analysis
- Face recognition and analysis
- Multimodal Machine Learning Applications
- Traffic Prediction and Management Techniques
- Laser Material Processing Techniques
- Supramolecular Self-Assembly in Materials
- Immunotherapy and Immune Responses
- Luminescence and Fluorescent Materials
- Cellular and Composite Structures
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Diagnosis and Treatment
- Medical Imaging and Pathology Studies
- Radiomics and Machine Learning in Medical Imaging
- Fiber-reinforced polymer composites
- Advancements in Battery Materials
- Advanced biosensing and bioanalysis techniques
- Immune Cell Function and Interaction
- Supercapacitor Materials and Fabrication
Hainan University
2022-2025
Nanjing Drum Tower Hospital
2023-2024
Zhoushan Hospital
2011-2024
Jilin University
2020-2024
Shanxi Academy of Medical Sciences
2024
Southeast University
2022-2024
Shanxi Medical University
2024
National University of Singapore
2023
Tsinghua University
2022
Tencent (China)
2022
Intracellular bacteria have been shown to cause autophagy, which impacts infectious outcomes, whereas extracellular not reported activate autophagy. Here, we demonstrate that Pseudomonas aeruginosa, a Gram-negative bacterium, activates autophagy with considerably increased LC3 punctation in both an alveolar macrophage cell line (MH-S) and primary macrophages. Using the Gly120 mutant, successfully demonstrated hallmark of conjugation phosphatidylethanolamine (PE). The accumulation typical...
(1) Background: lung cancer is the world’s deadliest cancer, but early diagnosis helps to improve cure rate and thus reduce mortality rate. Annual low-dose computed tomography (LD-CT) screening an efficient cancer-screening program for a high-risk population. However, LD-CT has often been characterized by higher degree of false-positive results. To meet these challenges, volatolomic approach, in particular, breath volatile organic compounds (VOCs) fingerprint analysis, recently received...
The mechanical properties of binders are emphasized: the intrinsic and adhesive strength with current collectors active materials. electronic ionic conductivities introduced.
Developing a machine learning-based approach which could provide quantitative identification of major depressive disorder (MDD) is essential for the diagnosis and intervention this disorder. However, performances traditional algorithms using static functional connectivity (SFC) measures were unsatisfactory. In present work, we exploit hidden information embedded in dynamic (DFC) developed an accurate objective image-based system MDD.MRI images collected from 99 participants including 56...
Abstract Developing high-performance composite materials is of great significance as a strong support for high-end manufacturing. However, the design and optimization lack theoretical basis guidance scheme. Compared with traditional materials, natural are composed relatively limited components but exhibit better mechanical properties through ingenious reasonable synthetic strategies. Based on this, learning from nature considered to be an effective way break bottleneck preparation. In this...
Background Cervical cancer remains a threat to female health due high mortality. Clarification of the long-term trend survival rate over time and associated risk factors would be greatly informative improve prognosis cervical patients. Methods This retrospective study was based on data extracted from Surveillance, Epidemiology, End Results (SEER) database United States. The 3-year 5-year overall rates patients with during 2002–2006, 2007–2011, 2012–2016 were analyzed. Period analysis used...
Abstract Mantis shrimps deliver one of the fastest strikes with their powerful dactyl clubs. The kinematic energy derived by a saddle storing and releasing mechanical large deformation. As an exoskeleton, toughness saddles can achieve remarkable value ≈15.28 ± 2.32 MJ m −3 , which exceeds most bulk natural materials. excellent is mainly attributed to synergy helical mineralized fiber architectures interlaminar fibrils. fibrils connect adjacent layers closely, enhancing through viscoelastic...
Objective To investigate the effect of gemcitabine plus cisplatin chemotherapy on percentage CD4 + CD25 FOXP3 and CD8 CD28 – regulatory T cells (Tregs) in peripheral blood patients with nonsmall-cell lung cancer (NSCLC). Methods Peripheral was taken from NCSLC (before after chemotherapy) control subjects nonmalignant disease. The percentages Tregs were analysed using flow cytometry. Results Patients ( n = 40) had significantly higher than 24). increased tumour progression, fell chemotherapy,...
Abstract The challenges of iodine dissolution and polyiodide shuttle behavior severely hinder the development zinc–iodine batteries (ZIBs). Among battery components, binders play a vital role in maintaining mechanical integrity facilitating conversion reaction iodine‐loading cathode ZIBs. Herein, series polyimide‐based polymers rich sulfonic acid group (R‐SO 3 H) are elaborately designed as functional for cathodes. According to spectroscopic characterization theoretical calculation results,...
Weak interfacial activity and poor wettability between fiber matrix are known to be the two main factors that restrict mechanical properties of carbon fiber-reinforced composites (CFRCs). Herein, inspired by high strength toughness characteristics wing feathers Black Kite (Milvus migrans), natural hook-groove microstructure system (HGMS) underlying interlocking mechanism were carefully investigated. Biomimetic HGMS based on dopamine-functionalized fibers ZnO nanorods constructed successfully...
Conventional model upgrades for visual search systems require offline refresh of gallery features by feeding images into new models (dubbed as “backfill”), which is time-consuming and expensive, especially in large-scale applications. The task backward-compatible representation learning therefore introduced to support backfill-free upgrades, where the query are interoperable with old features. Despite success, previous works only investigated a close-set training scenario (i.e., set shares...