MODEL SIMULATION AND PREDICTION OF DECADAL MOUNTAIN PERMAFROST DISTRIBUTION BASED ON REMOTE SENSING DATA IN THE QILIAN MOUNTAINS FROM THE 1990S TO THE 2040S

Model Simulation and Prediction of Decadal Mountain Permafrost Distribution Based on Remote Sensing Data in the Qilian Mountains from the 1990s to the 2040s

Based on the results of remote sensing data interpretation, this paper aims to simulate and predict the mountain permafrost distribution changes affected by the mean decadal air temperature (MDAT), from the 1990s to the 2040s, in the Qilian Mountains.A bench-mark map is visually interpreted to acquire a mountain permafrost distribution from the 199

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Anti-Oxidative, Anti-Apoptotic, and M2 Polarized DSPC Liposome Nanoparticles for Selective Treatment of Atherosclerosis [Corrigendum]

Wan J, Yang J, Lei W, et al.Int J Nanomedicine.2023;18:579-594.The authors have advised due to an error that occurred inadvertently at the time of figure assembly, Figure 5A on page 589 is incorrect.The correct Figure 5 is as follows.Figure 5 Continued.Figure g25-660 focus st 5 The effect of liposome nanoparticles on M2 polarization.(A) Morphologic

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PREFACE: TECHNICAL COMMISSION II

ISPRS Technical Commission II focuses, at various scales, on geometric, radiometric and multi-temporal aspects of image- and range-based 3D surveying and modeling.Specifically, Commission II deals with image orientation, point cloud generation and processing, 3D feature extraction, dynamic and static scene analysis, sensor and data fusion, and mach

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