A5100316801- Seaweed-derived Bioactive Compounds
- Insect Utilization and Effects
- Advanced Software Engineering Methodologies
- Polysaccharides and Plant Cell Walls
- Fungal Biology and Applications
- Fermentation and Sensory Analysis
- Insect and Arachnid Ecology and Behavior
- Advanced Antenna and Metasurface Technologies
- Dielectric materials and actuators
- Food Quality and Safety Studies
- Marine Toxins and Detection Methods
- High Altitude and Hypoxia
- Neuroscience of respiration and sleep
- Software Engineering Research
- biodegradable polymer synthesis and properties
- Obstructive Sleep Apnea Research
- Electromagnetic wave absorption materials
- Neurobiology and Insect Physiology Research
Beijing University of Chinese Medicine
2025
Shanxi Datong University
2025
Fujian Agriculture and Forestry University
2024
Ministry of Agriculture and Rural Affairs
2024
Institute of Forest Ecology, Environment and Protection
2019
Chinese Academy of Forestry
2019
Objective: To investigate the mechanism of Xiaohan Liqi granules (XHLQ) on obstructive sleep apnea-hypopnea syndrome (OSAHS) using network pharmacology and animal validation. Methods: Network was used to demonstrate XHLQ in OSAHS with use databases software such as The Traditional Chinese Medicine Systems Pharmacology Database Analysis Platform (TCMSP), GeneCards, Cytoscape 3.7.2, etcetera. intermittent hypoxia (IH)-induced rat model established by placing rats an IH chamber adjusting oxygen...
Semanotus bifasciatus (Motschulsky) (Cerambycidae: Coleoptera) is a major forest borer in China, and attractants provide promising method for the control of this pest. Exploration chemosensory mechanisms S. important development efficient However, little information available about olfactory bifasciatus. Previous research has indicated that trapping effects same attractant are different between Beijing Shandong populations To explore reasons this, next-generation sequencing was performed to...
This paper investigated the effects of steam explosion (SE) pretreatment on structural characteristics and antioxidant activity
Reinforcement Learning (RL) has gained significant attention across various domains. However, the increasing complexity of RL programs presents testing challenges, particularly oracle problem: defining correctness program. Conventional human oracles struggle to cope with complexity, leading inefficiencies and potential unreliability in testing. To alleviate this problem, we propose an automated approach that leverages properties using fuzzy logic. Our quantifies agent's behavioral compliance...