Thermokarst lake drainage halves the temperature sensitivity of CH release on the Qinghai-Tibet Plateau.

Thermokarst lakes as hot spots of methane (CH) release are crucial for predicting permafrost carbon feedback to global warming. These lakes are suffering from serious drainage events, however, the impacts of lake drainage on CH release remain unclear. Here, synthesizing field drilling, incubation experiments, and carbon composition and microbial communities, we reveal the temperature sensitivities (Q) and drivers of CH release from drainage-affected lakes on the Qinghai-Tibet Plateau.

Wavefront Correction for Extended Sources Imaging Based on a 97-Element MEMS Deformable Mirror.

Adaptive optics (AO) systems are capable of correcting wavefront aberrations caused by transmission media or defects in optical systems. The deformable mirror (DM) plays a crucial role as a component of the adaptive optics system. In this study, our focus is on analyzing the ability of a 97-element MEMS (Micro-Electro-Mechanical System) DM to correct blurred images of extended sources affected by atmospheric turbulence.

Predicting alfalfa leaf area index by non-linear models and deep learning models.

Leaf area index (LAI) of alfalfa is a crucial indicator of its growth status and a predictor of yield. The LAI of alfalfa is influenced by environmental factors, and the limitations of non-linear models in integrating these factors affect the accuracy of LAI predictions. This study explores the potential of classical non-linear models and deep learning for predicting alfalfa LAI.

A Segmentation Model of ECU Excitation Signal Based on Characteristic Parameters.

According to the basic structure and working principle of the excitation signal sensors of a diesel engine electronic control unit (ECU), a segmentation model of an ECU excitation signal based on characteristic parameters (ESCP-SM) is proposed. In the ESCP-SM, the ECU excitation signal is divided into several parts, and each part has its characteristic parameters model. By using the same global parameters and strictly controlling each part's proportional parameters, the ESCP-SM can achieve signal alignment and dynamic frequency modulation.