Height detection of crop divider toes of sugarcane harvester based on Kalman adaptive adjustment.

Crop divider toes are an essential device of sugarcane harvester. Moving forward against the ground is a critical way to improve the harvesting rate of lodged sugarcane. Height detection is the basis for precise control of crop divider toes moving forward against the ground.

Application of improved YOLOv7-based sugarcane stem node recognition algorithm in complex environments.

Introduction: Sugarcane stem node detection is one of the key functions of a small intelligent sugarcane harvesting robot, but the accuracy of sugarcane stem node detection is severely degraded in complex field environments when the sugarcane is in the shadow of confusing backgrounds and other objects.

Methods: To address the problem of low accuracy of sugarcane arise node detection in complex environments, this paper proposes an improved sugarcane stem node detection model based on YOLOv7. First, the SimAM (A Simple Parameter-Free Attention Module for Convolutional Neural Networks) attention mechanism is added to solve the problem of feature loss due to the loss of image global context information in the convolution process, which improves the detection accuracy of the model in the case of image blurring; Second, the Deformable convolution Network is used to replace some of the traditional convolution layers in the original YOLOv7.

Electron transfer rules of minerals under pressure informed by machine learning.

Electron transfer is the most elementary process in nature, but the existing electron transfer rules are seldom applied to high-pressure situations, such as in the deep Earth. Here we show a deep learning model to obtain the electronegativity of 96 elements under arbitrary pressure, and a regressed unified formula to quantify its relationship with pressure and electronic configuration. The relative work function of minerals is further predicted by electronegativity, presenting a decreasing trend with pressure because of pressure-induced electron delocalization.

FOSL1 knockdown ameliorates DSS-induced inflammation and barrier damage in ulcerative colitis via MMP13 downregulation.

Ulcerative colitis (UC) is a chronic inflammatory disease of the colon. Fos-related antigen 1 is highly expressed in mild UC and affects the maintenance and delayed recurrence of inflammatory bowel disease. Therefore the present study aimed to investigate the role of Fos-like antigen-1 (FOSL1) in UC.

Transcription factor paired related homeobox 1 (PRRX1) activates matrix metalloproteinases (MMP)13, which promotes the dextran sulfate sodium-induced inflammation and barrier dysfunction of NCM460 cells.

Paired related homeobox 1 (PRRX1) is a newly identified transcription factor that regulates the expression of various genes. We aimed to investigate the roles of PRRX1 and Matrix metalloproteinases (MMP)13 in dextran sulfate sodium (DSS)-induced inflammation and barrier dysfunction of NCM460 cells. PRRX1 expression in the mucosal tissues of patients with ulcerative colitis was analyzed using the GSE87466 microarray.

Silencing LncRNA-DANCR attenuates inflammation and DSS-induced endothelial injury through miR-125b-5p.

Background: LncRNA-DANCR is involved in inflammation and acts as a major contributor to colon cancer. The effects and mechanism of LncRNA-DANCR were first investigated in a DSS-induced colitis model in vivo and vitro.

Material And Methods: Sprague-Dawley rats were given DSS to induce the colitis model.