- Marine Bivalve and Aquaculture Studies
- Ocean Acidification Effects and Responses
- Physiological and biochemical adaptations
- Marine Biology and Ecology Research
- Web Data Mining and Analysis
- Machine Learning and Data Classification
- Marine and fisheries research
- Heat shock proteins research
- Context-Aware Activity Recognition Systems
- Calcium Carbonate Crystallization and Inhibition
- Meat and Animal Product Quality
- Environmental Toxicology and Ecotoxicology
- Aquaculture Nutrition and Growth
- Spaceflight effects on biology
- Bee Products Chemical Analysis
- Semantic Web and Ontologies
- Genetics, Aging, and Longevity in Model Organisms
- Artificial Intelligence in Healthcare
- Animal Nutrition and Physiology
Guangdong Ocean University
2021-2025
Nanjing Agricultural University
2011-2022
As the global ocean continues to experience consequences of an increase in frequency and intensity heat waves, trend is expected persist into 21st century, with a projected tripling waves by 2040. This phenomenon poses significant threat marine ecosystems survival organisms, including ecologically economically vital bivalves. Bivalves are vulnerable harm from stress at various levels biological organization, their growth can be negatively impacted high temperatures, potentially leading mass...
Abstract The formation of initial bivalve shell is sensitive to ocean acidification, encoding the basis and environmental information. Here, we demonstrated how building processes were affected under various acidified conditions. With decreasing pH, larvae showed smaller shells higher incidences deformity. Shell elemental isotopic profiles suggested that almost exclusively used seawater dissolved inorganic carbon calcify exhibited diminished ability maintain calcifying fluid homeostasis....
Marine heatwaves (MHWs) can severely affect bivalves and ecosystems they support. Heat shock proteins (HSPs) are a group of molecular chaperones playing critical role in the cellular protection thermo tolerance thereby constraining physiological responses marine to MHWs. Here, we cloned full-length HSP70 cDNA from Pinctada maximal ( PmHSP70 ) evaluated expression pearl oysters under acute repeatedly occurring MHWs conditions. The is 2,474 bp, containing an ORF 1,956 bp encoding 655 amino...
Many species, particularly marine organisms, are becoming more vulnerable to heatwaves due climate change. Marine species anticipate perishing during heatwaves, but there is a growing interest in learning why some can resist. Using Pinctada maxima as model we were able clone full-length cDNA encoding HSP90 with calculated open reading frame of 2031 residues amino acids and molecular mass estimate 78.08 kD understand better the effects on gene expression pearl oysters. The sequence P. was...
Heatwaves have become increasingly frequent and intense, posing a significant threat to the survival health of marine bivalves. The temperature fluctuations associated with heatwaves can cause alterations in composition quantity microbial communities bivalves, resulting changes their immunological responses, gut microbiome, oxidative stress levels, other physiological processes eventually making them more susceptible diseases mass mortalities. This is particularly concerning because some...
Abstract: The objective of this study was to investigate the effects conventional chilling (0 4 °C), rapid (RC, –20 °C for 30 min, followed by 0 and short‐duration 25 °C) on meat quality calpain activity pork muscle longissimus dorsi (LD). characteristics pH, color, cooking loss, pressing loss tenderness, activities were measured 0‐, 3‐, 12‐, 24‐h postmortem. Results show that RC resulted in a faster temperature decline muscle, prevented pH Commission Internationale de l'Eclairage L * value...
Decompilation transforms compiled code back into a high-level programming language for analysis when source is unavailable. Previous work has primarily focused on enhancing decompilation performance by increasing the scale of model parameters or training data pre-training. Based characteristics task, we propose two methods: (1) Without fine-tuning, Self-Constructed Context (sc$^2$dec) method recompiles LLM's results to construct pairs in-context learning, helping improve performance. (2)...