A5100717482- Spectroscopy and Chemometric Analyses
- Higher Education and Teaching Methods
- Greenhouse Technology and Climate Control
- Smart Agriculture and AI
- Simulation and Modeling Applications
- Advanced Computational Techniques and Applications
- Advanced Vision and Imaging
- Education and Work Dynamics
- IoT and Edge/Fog Computing
- Virtual Reality Applications and Impacts
- Embedded Systems and FPGA Design
- Building Energy and Comfort Optimization
- Data Stream Mining Techniques
- Chinese history and philosophy
- Generative Adversarial Networks and Image Synthesis
- Water Quality Monitoring and Analysis
- Advanced Database Systems and Queries
- Computer Graphics and Visualization Techniques
- Plant Gene Expression Analysis
- Anomaly Detection Techniques and Applications
- Fault Detection and Control Systems
- Experimental Learning in Engineering
- UAV Applications and Optimization
- Artificial Intelligence in Healthcare and Education
- Lipid metabolism and disorders
Ministry of Agriculture and Rural Affairs
2025
China Agricultural University
2005-2025
National Engineering Research Center for Information Technology in Agriculture
2025
The First People's Hospital of Xiaoshan District, Hangzhou
2024
Wenzhou Medical University
2024
Jiaozuo University
2010-2023
Shandong University of Technology
2023
Chinese Academy of Agricultural Mechanization Sciences
2021
Weifang Medical University
2020
Beijing University of Technology
2016
Acute myeloid leukemia (AML) is one of the malignant hematological cancers with high mortality. Finding a more effective and readily available treatment utmost importance. Here, we aimed to identify anti-leukemia effect natural small molecule compound honokiol on panel AML cell lines, including THP-1, U-937, SKM-1, explored honokiol's potential biological pathways mechanisms. The results showed that decreased viability targeted cells, induced their cycle arrest at G0/G1 phase, inhibited...
Aquaponics is a green and efficient agricultural production model that combines aquaculture vegetable cultivation. It worth looking into optimizing the proportion of fish plants to improve quality yield. However, there little non-destructive monitoring plant growth in aquaponics systems currently. In this paper, based on Internet Things technologies, system designed with miniaturization, modularization, low-cost features for cultivation-breeding ratio research. The can realize remote...
Abstract Using on‐site images to classify and identify wild mushroom species is the most effective way prevent incidents of harm caused by eating mushrooms. However, complexity natural scenes similarity morphology bring challenges for accurate classification recognition. To this end, paper proposes an improved ConvNeXt V2 network model recognition mushrooms in complex similar appearances. First, study applies data enhancement techniques such as image flipping, adding noise mosaic solve...
Summary Over the last decade, Internet of Things (IoT) has become ever more popular, as is evident from its role in changing human lifestyle and conferring remarkable privileges for them. It a significant presence various crucial areas, including smart cities, factories, manufacturing, transportation, healthcare. Massive amounts data generated by IoT devices have potential to endanger lifetime nodes IoT‐based networks due increased communication power consumption. propose solutions...
Precision energy management is very important for sustainability development of solar greenhouses, since huge demand agricultural production both in quantity and quality. A proactive management, according to the optimal utilization a look-ahead period with weather prediction, presented tested this research. multi-input-multi-output linear model balance greenhouses based on on-line identification system can simulate greenhouse behavior allow predictive control. The good time allocation...
A novel denoising method for removing mixed noise from locust slice images is proposed by means of Shannon-cosine wavelet and the nonlinear variational model image processing. This includes two parts that are sparse representation numerical algorithm solving variation on based representation. In first part, a parametric function introduced to construct multiscale transform matrix, which applied represent sparsely adjusting parameters adaptively texture images. By multiplying matrix with...
Leukemic stem cells (LSCs) comprise a very rare cell population that results in the development of acute myeloid leukemia. The selective targeting drivers LSCs with small molecule inhibitors holds promise for treatment Recently, we reported identification histone lysine demethylase JMJD1C preferentially kill MLL rearranged leukemia cells. Here, report jumonji domain modulator #7 (JDM‐7). Surface plasmon resonance analysis showed JDM‐7 binds to and its family homolog JMJD1B. did not...
Precision energy management is very important for sustainability development of solar greenhouses, since huge demand agricultural production both in quantity and quality. A proactive management, according to the optimal utilization a look-ahead period with weather prediction, presented tested this research. multi-input-multi-output linear model balance greenhouses based on on-line identification system can simulate greenhouse behavior allow predictive control. The good time allocation...
Distributed data stream processing systems(DSPS) are widely used in real-time massive scenarios for its characteristics of and high throughout.In the real-world DSPS, fluctuating arrival rate input leads consuming computing resource DSPS to be time-variable.To guarantee performance accurate prediction DSPS's resources is necessary.In this paper, we proposed approaches make online that consumes.We monitor usage such as CPU memory a use temporal streams clustering algorithm linear regression...
Apache Spark is an increasingly popular fast big data analytics engine, which focuses on a large-scale processing. Currently, Spark's memory management mainly oriented to single application, and do not directly support the typical scenarios of multiple processing applications. In this paper, we propose extension Spark, called Shared Memory (SMSpark). SMSpark introduces shared based RDD sharing between We conducted experiment in cluster using two Experimental results show that compared gains...