A5100732688- Inflammasome and immune disorders
- Multimodal Machine Learning Applications
- Nuclear Physics and Applications
- Human Pose and Action Recognition
- COVID-19 Clinical Research Studies
- Congenital heart defects research
- Diabetic Foot Ulcer Assessment and Management
- Nuclear physics research studies
- Natural product bioactivities and synthesis
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Developmental Biology and Gene Regulation
- Particle physics theoretical and experimental studies
- Advanced biosensing and bioanalysis techniques
- COVID-19 diagnosis using AI
- Hedgehog Signaling Pathway Studies
- Video Surveillance and Tracking Methods
- Domain Adaptation and Few-Shot Learning
- Mosquito-borne diseases and control
- Kawasaki Disease and Coronary Complications
- Monoclonal and Polyclonal Antibodies Research
- Viral Infections and Vectors
- Cancer Immunotherapy and Biomarkers
- Animal Virus Infections Studies
- Neural Networks and Applications
- Fire Detection and Safety Systems
Dalian University of Technology
2024-2025
Henan Provincial Center for Disease Control and Prevention
2025
Zhengzhou University
2025
First Affiliated Hospital of Zhengzhou University
2025
Shanghai Institute of Applied Physics
2025
Chinese Academy of Sciences
2025
University of Chinese Academy of Sciences
2025
Zhejiang Chinese Medical University
2025
Beijing Chao-Yang Hospital
2024
Capital Medical University
2024
Abstract Excessive inflammatory responses induced upon SARS-CoV-2 infection are associated with severe symptoms of COVID-19. Inflammasomes activated in response to also COVID-19 severity. Here, we show a distinct mechanism by which N protein promotes NLRP3 inflammasome activation induce hyperinflammation. facilitates maturation proinflammatory cytokines and induces cultured cells mice. Mechanistically, interacts directly protein, the binding ASC, assembly. More importantly, aggravates lung...
Research has focused on graphene for developing the next generation of label-free biosensors, capable highly sensitive and specific detection DNA or other biomolecules. The binding charged analytes to one-atom thick layer can greatly affect its electronic properties. However, is chemically inert, thus surface functionalization through chemical treatment typically necessary immobilize receptors target biological analyte graphene. In this work, we use gas-phase synthesized gold nanoparticles...
As a natural hibernator, the Chinese alligator (Alligator sinensis) is an ideal and intriguing model to investigate changes in microbial community structure function caused by hibernation. In this study, we used 16S rRNA profiling metagenomic analysis compare composition, diversity, functional capacity gut microbiome of hibernating vs. active alligators. Our results show that communities undergo seasonal restructuring response cycles feeding fasting alligator, but animal harbors core...
Background Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of many malignant tumors. However, ICI-induced hyper-immune activation causes cardiotoxicity. Traditional treatments such as glucocorticoids and immunosuppressants limited effectiveness may even accelerate tumor growth. This study aimed to identify approaches that effectively reduce cardiotoxicity simultaneously preserve or enhance antitumor immunity ICI therapy. Methods injection in melanoma-bearing C57BL/6J...
Abstract Background Porcine epidemic diarrhea virus (PEDV) variant strains cause great economic losses to the global swine industry. However, vaccines do not provide sufficient protection against currently circulating due viral mutations. This study traced molecular characteristics of most recent isolates in China and aimed a basis for prevention treatment PEDV. Methods We obtained samples from Chinese diarrheal farm 2022. Reverse transcription polymerase chain reaction immunofluorescence...
A plant factory with artificial lighting (PFAL) usually uses top for cultivation. The light from the upper part of canopy cannot penetrate entire lettuce canopy, however, resulting in uneven vertical spatial and accelerating senescence both bottom side leaves canopy. Therefore, this study, performance hydroponics was investigated upon supplemental different spectral LEDs a PFAL. set short-term treatments, including no lamps (CK), red (R), blue (B), + (RB), green (RGB) LED (150 μmol·m-2·s-1,...
Zika virus (ZIKV) evolves non-structural proteins to evade immune response and ensure efficient replication in the host cells. Cholesterol metabolic enzyme 7-dehydrocholesterol reductase (DHCR7) was recently reported impact innate responses ZIKV infection. However, vital protein mechanisms involved DHCR7-mediated viral evasion are not well elucidated. In this study, we demonstrated that infection facilitated DHCR7 expression. Notably, upregulated turn blocking suppressed Mechanically, 4B...
The major histocompatibility complex (MHC) has several important roles in kin recognition, pathogen resistance and mate selection. Research fish, birds mammals suggested that individuals optimise MHC diversity, therefore offspring fitness, when choosing mates. In reptiles, however, it is unclear whether female choice based on genome-wide genetic characteristics such as microsatellite DNA loci, particular functional-trait loci (e.g., MHC) or both, MHC's effects remain relatively understudied....
Few-shot learning has been successfully applied to medical image classification as only very few examples are available for training. Due the challenging problem of limited number annotated images, representations should not be solely derived from a single modality which is insufficient characterizing concept classes. In this paper, we propose new prompting multi-modal model paradigm on based foundation models, called PM2. Besides modality,PM2 introduces another supplementary text input,...
Diabetes foot ulcer (DFU) is one of the common complications diabetes patients, which may lead to infection, necrosis and even amputation. Therefore, early diagnosis, classification severity related treatment are crucial for patients. Current DFU methods often require experienced doctors manually classify severity, time-consuming low accuracy. The objective study propose a few-shot image method based on deep residual neural network transfer learning. Considering difficulty in obtaining...