Search Results - Ziyang Li

Remote sensing has emerged as a promising technology for large-scale detection and updating of global wind turbine databases. High-resolution imagery (e.g., Google Earth) facilitates the identification of offshore wind turbines (OWTs) but offers limited offshore coverage due to the high cost of capt...

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Objective To systematically evaluate the effects of unstable training (UT) on muscle activation and provide activation prescriptions for different muscle regions, offering more targeted guidance for different populations in muscle activation. Methods Data extraction and meta-analysis were conducted...

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The early detection of Alzheimer’s disease (AD) in cognitively healthy individuals remains a major preclinical challenge. EEG is a promising tool that has shown effectiveness in detecting AD risk. Task-related EEG has been rarely used in Alzheimer’s disease research, as most studies have focused on...

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Sparse borehole sampling at contaminated sites results in sparse and unevenly distributed data on soil pollutants. Traditional interpolation methods may obscure local variations in soil contamination when applied to such sparse data, thus reducing the interpolation accuracy. We propose an adaptive g...

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Objective: To investigate the vascular characteristic changes in the macular retina and choriocapillaris, as well as the choroidal vascularization of eyes with different degrees of myopia in juveniles using Swept-source Optical Coherence Tomography (SS-OCT), aiming to understand the pathophysiologic...

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Quinoa (<i>Chenopodium quinoa</i> Willd) is a tetraploid crop that has provided vital subsistence, nutrition, and medicine for Andean indigenous cultures. In recent years, quinoa has gained global importance all over the world. However, variations in fertility have been frequently observ...

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