Insight into the mechanism of gel properties, microstructure and flavor of surimi gels improved by wheat bran with different particle sizes.

This study investigated the effect of wheat bran (WB) with different particle sizes (W1, 155.00 ± 2.08 μm; W2, 78.

Deep learning model targeting cancer surrounding tissues for accurate cancer diagnosis based on histopathological images.

Accurate and fast histological diagnosis of cancers is crucial for successful treatment. The deep learning-based approaches have assisted pathologists in efficient cancer diagnosis. The remodeled microenvironment and field cancerization may enable the cancer-specific features in the image of non-cancer regions surrounding cancer, which may provide additional information not available in the cancer region to improve cancer diagnosis.

Experimental study on modal analysis and vibration response of tunnel structures under different damage conditions due to subway train loads.

Based on a prototype of the Beijing subway tunnel, this research conducts large-scale model experiments to systematically investigate the vibration response patterns of tunnels with different damage levels under the influence of measured train loads. Initially, the polynomial fitting modal identification method (Levy) and the model test preparation process are introduced. Then, using time-domain peak acceleration, frequency response function, frequency-domain modal frequency, and modal shape indicators, a detailed analysis of the tunnel's dynamic response is conducted.

Targeting GSDMD JX06 inhibits PANoptosis and multiple organ injury.

Multiple organ dysfunction syndrome (MODS) is the major cause of mortality of patients in intensive care units. The elusive mechanisms of tissue damage in MODS and limited therapeutic options encourage us to seek effective therapies to MODS. PANoptosis has recently been proven to be the key player in both heat stress and sepsis-mediated MODS.