A5101713908- Plant Water Relations and Carbon Dynamics
- Advanced Battery Materials and Technologies
- Advancements in Battery Materials
- Advanced Battery Technologies Research
- Solar Radiation and Photovoltaics
- RNA and protein synthesis mechanisms
- Energy Load and Power Forecasting
- Aquaculture Nutrition and Growth
- Advanced Biosensing Techniques and Applications
- Animal Nutrition and Physiology
- Land Use and Ecosystem Services
- Salmonella and Campylobacter epidemiology
- Image Processing and 3D Reconstruction
- Tribology and Lubrication Engineering
- Computational Drug Discovery Methods
- Identification and Quantification in Food
- Nuclear and radioactivity studies
- Microbial Natural Products and Biosynthesis
- Thallium and Germanium Studies
- Manufacturing Process and Optimization
- Advanced Measurement and Metrology Techniques
- Probiotics and Fermented Foods
- Electrochemical sensors and biosensors
- Analytical chemistry methods development
- Hydrology and Watershed Management Studies
Northwestern Polytechnical University
2021-2025
Institute of Agricultural Resources and Regional Planning
2022-2024
Chinese Academy of Agricultural Sciences
2009-2024
Ministry of Industry and Information Technology
2023
China South Industries Group (China)
2023
Ministry of Agriculture and Rural Affairs
2022
Shaanxi Research Association for Women and Family
2010
Contamination of water resources by toxic metals and opportunistic pathogens remains a serious challenge. The development nano-adsorbents with desired features to tackle this problem is continuously evolving field. Here, magnetic mesoporous carbon nanospheres grafted antimicrobial polyhexamethylene biguanidine (PHMB) are reported. Detailed mechanistic investigations reveal that the electrostatic stabilizer modified nanocore interfaced shell can be programmatically regulated tune size related...
Abstract Electrolyte engineering for long‐lifespan alkali‐based batteries focuses on modulating the solvation structure to build electrode/electrolyte interface and dictate interfacial reactions. Previous strategies have relied increasing salt concentration introduce anion‐derived solid electrolyte interphase (SEI) considerable stability, but these are restricted by poor solubility of film‐forming salts in weak electrolytes. Herein, a dielectric increment electrolytes based ion dissociation...
This study was to investigate the effects of housing systems (loose vs. tie stalls) in finishing beef bulls. A total 119 bulls were collected from same farm, with an average live weight 681 kg. The sample comprised 58 loose-housing and 61 tie-stall bulls, each treatment group has six replicates, a fattening period approximately 5 9 months. These animals utilized for comparative research on impact physical activity, blood parameters, animal traits, carcass characteristics, meat quality....
Abstract Accurate quantification of gross primary production (GPP) in agroecosystems not only improves our ability to understand the global carbon budget but also plays a critical role human welfare and development. Light-use efficiency (LUE) models have been widely applied estimating regional GPP due their simple structure clear physical basis. However, maximum LUE ( <?CDATA ${\varepsilon _{{\text{max}}}}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll">...
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Due to the excellent self-centering and load-carrying capability, curvic couplings have been widely used in advanced aero-engine rotors. However, tooth surface errors lead poor assembly precision. Traditional physical-master-gauge-based indirect error measurement circumferential angle optimization methods disadvantages of high cost weak generality. The unknown fitting mechanism is a big barrier precision prediction improvement. Therefore, this work puts forward data-driven simulation...
In recent years, with the rapid development of computer information technology, artificial intelligence has been accelerating. The traditional geometry recognition technology is relatively backward and rate low. face massive database, algorithm model inevitably problems low accuracy poor performance. Deep learning theory gradually become a very important part machine learning. implementation convolutional neural network (CNN) reduces difficulty graphics generation algorithm. this paper,...
Over the past several decades, topology optimization has been widely applied in structural design through its integration with fluid mechanics and solid mechanics.This research focuses on of support bracket within nuclear fuel assemblies, which is responsible for filtering foreign objects, bearing loads, facilitating coolant flow.The study initially targets compliance under multi-point concentrated forces, employing techniques to determine optimal load transfer path.Subsequently, considering...
Abstract Biologically equivalent replacements of key moieties in molecule rationalizes scaffold hopping, patent busting or R-group enumeration, yet heavily depending upon the expert-defined space therefore is subjective and might be biased to chemistries they get used to. Most importantly, these explorations are often informatively incomplete since it confined within try-and-error cycle, only meaning what kind substructures suitable for replacement occur, but fail disclose driving forces...