A5101976073- Irrigation Practices and Water Management
- Environmental and Agricultural Sciences
- Plant Water Relations and Carbon Dynamics
- Forest, Soil, and Plant Ecology in China
- Greenhouse Technology and Climate Control
- Lichen and fungal ecology
- Hydrology and Watershed Management Studies
- Biocrusts and Microbial Ecology
- Groundwater and Isotope Geochemistry
- Soil and Water Nutrient Dynamics
- Aquatic Ecosystems and Phytoplankton Dynamics
- Soil Carbon and Nitrogen Dynamics
- Rice Cultivation and Yield Improvement
- Peatlands and Wetlands Ecology
- Privacy-Preserving Technologies in Data
- Remote Sensing and Land Use
- Phytochemistry and Biological Activities
- Plant responses to water stress
- Air Quality and Health Impacts
- Cruise Tourism Development and Management
- Vehicular Ad Hoc Networks (VANETs)
- Indian Economic and Social Development
- HVDC Systems and Fault Protection
- Innovative Energy Harvesting Technologies
- Climate change impacts on agriculture
Institute of Genetics and Developmental Biology
2020-2025
Center for Agricultural Resources Research
2020-2025
Fujian Agriculture and Forestry University
2024
University of Chinese Academy of Sciences
2013-2023
Chinese Academy of Sciences
2012-2022
Jiangxi Science and Technology Normal University
2021
Institute of Atmospheric Physics
2021
Hebei North University
2021
Hubei University
2018
Hubei University for Nationalities
2018
Security is a crucial issue in distributed applications of multihop wireless opportunistic network due to the features exposed on fly communication, relaxed end-to-end connectivity, and vague destinations literately. In this paper, we focus problems user privacy leakage confidentiality invasion content-based or interest-centric network. And propose public-encryption-with-fuzzy-keyword-search- (PEFKS-) ciphertext-policy-attribute-based-encryption- (CP-ABE-) based security scheme by refining...
ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTADDITION / CORRECTIONThis article has been corrected. View the notice.Groundwater Storage Recovery Raises Risk of Nitrate PollutionLeilei MinLeilei MinKey Laboratory Agricultural Water Resources, Hebei Key for Water-Saving Agriculture, Center Resources Research, Institute Genetics and Developmental Biology, Chinese Academy Sciences, Shijiazhuang, 050021, ChinaInnovative Seed Design, Beijing, 100101, ChinaMore by Leilei...
North China Plain is one of the agricultural region in world with severe water shortage. Flood irrigation still most popular method NCP, and have caused very low use efficiency. Groundwater depletion becomes concerned issue for sustainable development. To determine & nitrate fluxes important better resouces management. We built up a 48-m depth cassion 36 lysimeter group this purpose to study budget water/nitrate movement deep vadose zone. In study, we will present observation facts...
The trapezoidal current controlled by the phase-shifted modulation is proposed to realize wireless power and information transmission. fundamental component of waveform used transfer power, its harmonic selected transmit information. Fourier decomposition method conducted establish equivalent circuit model system. By defining triangularization rate current, quantitative analysis can be gotten show relationship components different shapes currents. Compared triangular with same peak waveforms...
The overexploitation of groundwater and the excessive application nitrogen (N) fertilizer under intensive double cropping system are responsible for level decline potential contamination in North China Plain (NCP). Alternative systems have to alleviate current N problems region, while there limited studies simultaneously focusing on impact a change crop yields, consumption, leaching. In this study, Field observed experiments double-cropping (i.e., winter wheat–summer maize) mono-cropping...
Abstract Understanding soil water dynamics in the deep vadose zone (DVZ, below root zone) of irrigated farmland is critical for estimating groundwater recharge and assessing impacts agricultural activities on quality. However, state movement DVZ remain poorly understood owing to lack in‐situ observations. Here, based a 48‐m caisson (Critical Zone Observatory, CZO) established typical piedmont region North China Plain, we extended monitoring content matric potential across entire profile. We...
GreenLab is a structural-functional model for plant growth based on multidisciplinary knowledge. Its mathematical formalism allows dynamic simulation of and analysis. A simplified soil water balance equation introduced to illustrate the interactions feedbacks between functioning resources. supply optimization problem then described solved: sunflower fruit weight optimized with respect different strategies in theoretical case. Intuitive searching method genetic algorithms are used solve this...
As a dynamic and reversible post-transcriptional marker, N
Luteolin is a flavonoid compound widely found in vegetables, fruits, and medicinal plants. In this study, the reaction conditions for luteolin five metal ions (Ca2+, Mg2+, Zn2+, Fe3+, Cu2+) to form complexes hot water were optimized, which was at molar ratio of 1 : 90°C volume 20 mL 2 h, ability with Cu2+ strongest. The DPPH scavenging test showed that exerted dose-dependent effect on clearance free radicals; luteolin-Cu2+ luteolin-Fe3+ accentuated radicals. Furthermore, we used high...
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In recent years, the Modi government has taken an active role in integrating regional infrastructure, participating geopolitical game South Asia and Indo-Pacific through infrastructure diplomacy promoting development cooperation Global South. This paper examines India’s intentions actions infrastructure. It also explores prospects impacts context of 3.0’s shift to a ‘Bharat first’ foreign policy.
Considering the limited sample size of rare and endangered plant leaves issue that leaf identification is mainly conducted using mobile smart devices other technology with low computing power, this paper proposes a method based on transfer learning knowledge distillation. Following expansion data sets containing leaves, last fully connected layer was replaced trained Alexnet, VGG16, GoogLeNet, ResNet models to conduct learning, realized relatively high success rate in identifying images...