Associations between systemic immune-inflammatory index and visceral adipose tissue area: results of a national survey.

Background: Global health issues related to obesity are growing. Visceral adipose tissue (VAT) significantly contributes to complications associated with obesity. Reducing adipose tissue accumulation can improves inflammation.

Ultra‑high dose rate (FLASH) treatment: A novel radiotherapy modality (Review).

Ultra-high dose rate radiotherapy defined as FLASH radiotherapy is a potential technology to improve local tumor therapeutic gain ratio. It relies on linear accelerator capable of delivering large doses in a single microsecond pulse (>40 Gy/sec). This therapy would lead to sparing of normal tissue which has been termed the FLASH effect.

An optimized lightweight real-time detection network model for IoT embedded devices.

With the rapid development of Internet of Things (IoT) technology, embedded devices in various computer vision scenarios can realize real-time target detection and recognition tasks, such as intelligent manufacturing, automatic driving, smart home, and so on. YOLOv8, as an advanced deep learning model in the field of target detection, has attracted much attention for its excellent detection speed, high precision, and multi-task processing capability. However, since IoT embedded devices typically own limited computing resources, direct deployment of YOLOv8 is a big challenge, especially for real-time detection tasks.

Betulinic acid from Inonotus obliquus ameliorates T2DM by modulating short-chain fatty acids producing bacteria and amino acids metabolism in db/db mice.

Ethnopharmacological Relevance: Inonotus obliquus has also been used as a traditional folk medicine in Europe and Northeastern China to treat metabolic diseases. Betulinic acid (BA) is a major ingredient with anti-diabetic property derived from I. obliquus, however, its bioavailability is limited.

Comparison of mNGS with conventional methods for diagnosis of cryptococcal meningitis: a retrospective study.

The application of metagenomic next-generation sequencing (mNGS) in the diagnosis of cryptococcal meningitis is relatively under characterized. Here, we retrospectively evaluated data from cryptococcal meningitis patients who were tested using mNGS and/or routine testing, including fungal culture, India ink staining, and cryptococcal antigen (CrAg) testing. The performance of mNGS was then assessed.