Stepwise Identification Method of Thermal Load for Box Structure Based on Deep Learning.

Accurate and rapid thermal load identification based on limited measurement points is crucial for spacecraft on-orbit monitoring. This study proposes a stepwise identification method based on deep learning for identifying structural thermal loads that efficiently map the local responses and overall thermal load of a box structure. To determine the location and magnitude of the thermal load accurately, the proposed method segments a structure into several subregions and applies a cascade of deep learning models to gradually reduce the solution domain.

Transcriptome Analysis of Apples in High-Temperature Treatments Reveals a Role of MdLBD37 in the Inhibition of Anthocyanin Accumulation.

Coloring in apple fruit due to anthocyanin accumulation is inhibited by high temperature; however, the underlying mechanism remains unclear. In the present study, total anthocyanin and cyanidin 3-galactoside contents were determined and compared between cv. 'Redchief Delicious' apple fruits at 25 °C and 35 °C treatments.

[Exploration of the correlation between Chinese medicine syndrome types of verrucous gastritis and the pressions of gastric mucosal hypoxia-inducible factor-1alpha as well as downstream molecules].

Objective: To study the expressions changes of gastric mucosal hypoxia-inducible factor-1alpha (HIF-1alpha) and downstream molecules [such as vascular endothelial growth factor (VEGF) and cyclooxygenase-2 (COX-2)] of verrucous gastritis (VG) patients of different Chinese medicine (CM) syndrome types and their clinical significance.

Methods: Totally 94 VG patients were assigned to Gan-Wei disharmony group (GWDG, 28 cases), the damp-heat in Pi-Wei group (DHPWG, 17 cases), the blood stasis in Wei-collateral group (BSWCG, 20 cases), and the insufficiency of Pi-yang group (IPYG, 29 cases). Another 30 patients with chronic mild non-active superficial gastritis patients accompanied with negative Hp infection were recruited as the control group.