A5040995359- Plant Stress Responses and Tolerance
- Plant responses to water stress
- Plant Molecular Biology Research
- Energy Load and Power Forecasting
- Photosynthetic Processes and Mechanisms
- Aluminum toxicity and tolerance in plants and animals
- Plant nutrient uptake and metabolism
- Advanced Algorithms and Applications
- Perovskite Materials and Applications
- Atmospheric aerosols and clouds
- Biocrusts and Microbial Ecology
- Remote Sensing and Land Use
- interferon and immune responses
- Meteorological Phenomena and Simulations
- Forest, Soil, and Plant Ecology in China
- 2D Materials and Applications
- Smart Grid Energy Management
- Algal biology and biofuel production
- Silicon Effects in Agriculture
- Precipitation Measurement and Analysis
- Cancer-related molecular mechanisms research
- Plant Water Relations and Carbon Dynamics
- Soybean genetics and cultivation
- Chalcogenide Semiconductor Thin Films
- Osteoarthritis Treatment and Mechanisms
Luoyang Orthopedic-Traumatological Hospital of Henan Province
2024
Lanzhou University
2016-2021
Henan University of Engineering
2021
Ministry of Agriculture and Rural Affairs
2019-2020
State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems
2019-2020
Beijing University of Chemical Technology
2011
Gansu Agricultural University
2006
Chondromalacia, characterized by the softening of cartilage, is a prevalent condition affecting joint health with complex etiology. The immune system's role in its pathogenesis has been implicated but remains to be fully elucidated. To address critical knowledge gap, we conducted two-sample Mendelian randomization analysis 731 cell phenotypes, assessing parameters like fluorescence, count, and morphology. After sensitivity pleiotropy checks, applying false discovery rate correction, our...
Most studies on salt tolerance in plants have been conducted using glycophytes like Arabidopsis thaliana (L.) Heynh., with limited resistance to salinity. The xerohalophyte Zygophyllum xanthoxylum (Bunge) Engl. is a salt-accumulating desert plant that efficiently transports Na+ into vacuoles manage and exhibits increased growth under salinity conditions, suggesting unique transcriptional response compared glycophytes. We used transcriptome profiling by RNA-seq compare gene expression roots...
Abstract Zygophyllum xanthoxylum is a salt‐accumulating xerophytic species with excellent adaptability to adverse environments. Previous studies demonstrated that Z. absorbs great quantity of Na + as an osmoregulatory substance under arid conditions. To investigate the nutritional status in comparison typical glycophyte, Arabidopsis thaliana , seedlings were exposed NaCl (50 mM for and 5 A. ), osmotic stress (–0.5 MPa), combined treatment. Compared control, treatment or significantly...
<i>Puccinellia tenuiflora</i> is a typical salt-exclu-ding halophytic grass with strong salt-tolerance, which enhances tolerance by restricting Na<sup>+</sup> influx as well having selectivity for K<sup>+</sup> over Na<sup>+</sup>. The HAK5 transporters generally modulate effective acquisition in plants, especially under low condition. In this study, <i>PtHAK5</i> from <i>P. was isolated RT-PCR and characterized using yeast complementation. results showed PtHAK5 consisted of 784 amino acids...
Abstract Aiming at the problem that power supply and distribution system runs low load rate for a long time wastes capacity due to expansion of system, short-term forecasting method combining K-means random forest is proposed. The proposed divides users into four categories based on electricity behavior, which corresponding category data selected as input sample model obtain prediction results. Example analysis shows this can ensure rapid clustering accuracy, effectively realize forest,...
The editorial office would like to draw reader's attention an error occurring in the publication by Wang et al. · Under drought conditions NaCl improves nutritional status of xerophyte Zygophyllum xanthoxylum but not glycophyte Arabidopsis thaliana pp. 597–606 Volume 182 Number 4 August 2019 that we apologize for. 1. Figure 7: 2. 8: These changes do affect conclusions mentioned paper.
In order to solve the problem of large prediction errors in existing power load forecasting methods, a short-term model based on improved spotted hyena algorithm optimized-extreme learning machine (ISHO-ELM) is proposed. Firstly, quasi-inverse strategy and elite are introduced into optimization improve search capability algorithm, effectiveness verified by benchmark function. Secondly, using ISHO ELM random parameters accuracy stability model. Lastly, advancement practicability constructed...