Past and future trends of diurnal temperature range and their correlation with vegetation assessed by MODIS and CMIP6.

Temperature anomalies and changes in the diurnal temperature range (DTR) are expected to pose physiological challenges to biota; hence, both spatial and temporal variations in DTR provide important insights into temperature-induced stress in humans, animals, and vegetation. Furthermore, vegetation could dampen temperature variability. Here, we use the Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing data of Land Surface Temperature (LST) to evaluate the global variation in DTR and its rate of change in spatial and temporal scales for the two decades spanning from 2001 to 2020.

Application Value of Elbow Pressing Method Combined with Zhongtong Ling Application in Children with Swelling and Pain after Operation of Supracondylar Fracture of the Humerus.

In order to improve the treatment effect of supracondylar fracture of the humerus, the application value of elbow press combined with Zhongtong Ling paste in postoperative swelling and pain in children with supracondylar fracture of the humerus is analyzed. 82 children with humeral condylar fracture undergoing surgery in our hospital from March 2019 to May 2020 are selected and divided into the control group and research group according to the symptoms of soreness. The VAS score is used to observe and compare the pain degree before intervention (T1), 1 month after intervention (T2), and 3 months after intervention (T3).

Disentangling effects of natural and anthropogenic drivers on forest net ecosystem production.

Net Ecosystem Production (NEP) of forests is the net carbon dioxide (CO) fluxes between land and the atmosphere due to forests' biogeochemical processes. NEP varies with natural drivers such as precipitation, air temperature, solar radiation, plant functional type (PFT), and soil texture, which affect the gross primary production and ecosystem respiration, and thus the net C sequestration. It is also known that deposition of sulphur and nitrogen influences NEP in forest ecosystems.

Synthetic MRI with quantitative mappings for identifying receptor status, proliferation rate, and molecular subtypes of breast cancer.

Objective: To investigate whether quantitative parameters of synthetic magnetic resonance imaging (MRI) can be used to differentiate among receptor status, proliferation rate, and molecular subtypes in patients with breast cancer.

Materials And Methods: This retrospective study included patients with suspicious breast lesions who underwent breast MR examinations (including synthetic MRI) from May 2019 to Oct 2020. Quantitative parameters of synthetic MRI, including T1, T2, and proton density (PD) in the breast lesions before and after (T1-Gd, T2-Gd, and PD-Gd) contrast agent injection were obtained.

Intelligent Detection of a Planetary Gearbox Composite Fault Based on Adaptive Separation and Deep Learning.

Due to the existence of multiple rotating parts in the planetary gearbox-such as the sun gear, planet gears, planet carriers, and its unique planetary motion, etc.-the vibration signals generated under multiple fault conditions are time-varying and nonstable, thus making fault diagnosis difficult. In order to solve the problem of planetary gearbox composite fault diagnosis, an improved particle swarm optimization variational mode decomposition (IPVMD) and improved convolutional neural network (I-CNN) are proposed.