Health literacy and breast cancer preventive practices among market women in Oshodi Local Government Area of Lagos State, Nigeria.

Background: Health literacy connotes understanding health-related issues and applying a clear understanding of implications in making decisions about one's healthcare needs. Early detection and prompt treatment are cornerstone strategies of breast cancer control. This study assessed the relationship between health literacy and breast cancer prevention practices.

Characterization of Fusarium species causing head blight of highland barley (qingke) in Tibet, China.

Most of the research on the characterization of Fusarium species focused on wheat, barley, rice, and maize in China. However, there has been limited research in highland barley (qingke). Recently, Fusarium head blight (FHB) of qingke was recently observed in Tibet, China, especially around the Brahmaputra River.

Quercetin boosts nitric oxide levels and modulates the activities of arginase, acetylcholinesterase and adenosine deaminase in the corpus cavernosum of cyclosporine-treated rats.

One of the primary causes of erectile dysfunction (ED) in males is cardiovascular disease, such as hypertension (HT). As a result, the goal of this study is to see how quercetin (Q) affects the important biochemical parameters (nitric oxide, endogenous antioxidant enzymes)/specific enzymes (arginase, acetylcholinesterase and adenosine deaminase) linked to be responsible for smooth muscle relaxation in respect to sexual function. Wistar male rats (30) weighing 200-250 g were placed into five groups at random as follows: normal control group given normal saline (CTRL), hypertensive rats administered 25 mg/kg/day cyclosporine classified as ED group (HT), positive control administered Sildenafil (SIL, 5 mg/kg/day), quercetin (Q) 25 mg/kg/day (25 Q) and Q 50 mg/kg/day (50 Q).

Evaluation of Deep Neural Network Compression Methods for Edge Devices Using Weighted Score-Based Ranking Scheme.

The demand for object detection capability in edge computing systems has surged. As such, the need for lightweight Convolutional Neural Network (CNN)-based object detection models has become a focal point. Current models are large in memory and deployment in edge devices is demanding.