Publications by authors named "Jin Hua An"

The balance between the actions of protein kinases and phosphatases is crucial for neuronal functions, including synaptic plasticity. Although the phosphorylation and dephosphorylation of neuronal proteins are regulated by synaptic plasticity, no systematic analyses of this have yet been conducted. We performed a phosphoproteomic analysis of hippocampal synaptic plasticity using a nano-Acquity/Synapt LC-MS/MS system.

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Article Synopsis
  • The paper presents a new dynamic model for retrieving Leaf Area Index (LAI) using MOD15A2 data combined with a radiative transfer model called MCRM2.
  • It introduces the ensemble Kalman smoother (EnKS) method for estimating LAI, and compares its performance against the ensemble Kalman filter (EnKF) and existing MODIS LAI products.
  • The study finds that EnKS provides smoother and more continuous LAI profiles, aligning closely with actual climatological data, making it a promising tool for effective LAI retrieval over time.
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Leaf area index (LAI) is an important biophysical parameter, and is the critical variable in many ecology models, productivity models and carbon circulation study. Based on the field experiment data, an evaluation of soybean LAI retrieval methods was conducted using NDVI (normalized difference vegetation index) and RVI (ratio vegetation index), principle component analysis (PCA) and neural network (NN) methods, and the estimate effects of three methods were compared. The results showed that the three methods have an ideal effect on the LAI estimation.

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