Researchers have developed a new flexible material that can attenuate radar signals using tree bark waste as core raw source. The innovative material combines silicone rubber with sustainable carbon derived from tree bark, resulting in an eco-friendly alternative to traditional, high-cost technologies. Despite being made from natural waste, the new material can perform just as well as expensive nanocarbons, offering a greener and more affordable option to attenuate electromagnetic signals.

This study reviews the most recent studies about the biosynthesis and characteristics of circRNAs in diagnosis, treatment and prognosis evaluation, as well as the value of circRNAs in clinical applications as biomarkers or therapeutic targets in breast cancer. Understanding the mechanisms by which circRNAs function could help transform basic research into clinical applications and facilitate the development of novel circRNA-based therapeutic strategies for breast cancer treatment.

Breast cancer is the most common cancer among women, with hormone receptors playing a crucial role, not only in cancer cell growth but also as primary targets in breast cancer treatment. This systematic literature review aimed to summarize the current evidence on estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) discordance rates between primary and recurrent breast cancer. Additionally, it seeks to identify how discordance affects prognosis, metastasis, and the potential evidence of primary tumor heterogeneity.

Semiconductor nanolasers are emerging as key components for next-generation optical systems requiring ultra-low power and compact design. Traditional lasers face limitations at the nanoscale, prompting researchers to explore innovative nanolaser architectures. A recent study outlines breakthroughs in photonic crystal nanolasers, deep subwavelength cavities, and Fano lasers. These technologies enable enhanced light confinement and energy efficiency, making them ideal for applications in on-chip communication, neuromorphic computing, and hybrid optical-electronic systems.

Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications. 

Liquid biopsy (LB) represents a promising strategy for the early diagnosis and treatment of lung cancer. However, relying solely on single-biomarker immunohistochemistry for predictive purposes has shown limited efficacy, often leading to suboptimal responses in certain patients. LB provides a complementary or alternative approach to immunohistochemistry by aiding in the identification of patients better suited for immunotherapy, thereby improving treatment precision. This review highlights key LB targets, including circulating tumor cells, exosomes, and small protein molecules, and explores the predictive and prognostic value of LB in immunotherapy for lung cancer and other tumors. These biomarkers play complex and multifaceted roles in liquid biopsies. Consequently, researchers have developed numerous targeted detection methods to study and identify key factors among multiple biomarkers in lung cancer and other tumor diseases. In addition, the limitations and future directions of LB are examined, aiming to advance its clinical application and support the development of personalized and precise immunotherapy. The integration of LB with artificial intelligence holds significant clinical potential for guiding immunotherapy and advancing precision medicine in lung cancer and other tumors.

Black soils, revered as the world's agricultural powerhouses, are rapidly deteriorating under mounting environmental and human pressures.