The proliferation of 5G communication technology and the miniaturization of electronic devices have made protection against human electromagnetic radiation an urgent global public health issue. Concurrently, intensifying great power arms races are driving electromagnetic warfare environments towards full-spectrum capabilities and intelligentization. Microwave (300 MHz–300 GHz) and terahertz wave (0.1–10 THz) technologies, as core frequency bands in electromagnetic spectrum engineering, have deeply penetrated critical fields such as communications, military, healthcare, and industrial inspection. Consequently, electromagnetic wave absorption and shielding have become imperative problems to solve. However, traditional absorbing materials face numerous challenges, such as singular loss mechanisms, a lack of adaptive cross-band regulation capability, and excessive thickness. These limitations severely restrict their application in complex electromagnetic compatibility scenarios.

Powdery mildew poses a major threat to black currant production, yet some cultivars naturally withstand infection far better than others. This study reveals that resistant black currants deploy a multilayered defense system involving physical structures, specialized metabolites, and the assembly of protective microbial communities on leaf surfaces. By integrating metabolomics and phyllosphere microbiome profiling, the research identifies key leaf metabolites—such as salicylic acid, trans-zeatin, and griseofulvin—that help recruit beneficial bacteria and fungi linked to disease suppression. These metabolites also directly reduce pathogen growth. Together, these processes explain how resistant cultivars mount a coordinated defense that limits pathogen invasion and maintains plant health.

Tea plants are known for their ability to accumulate aluminum (Al), a trait that is beneficial for growth at optimal levels but may pose health risks when consumed in excess. This study identifies a key gene, CsWRKY17, that plays a crucial role in the accumulation of aluminum in the leaves of tea plants. By enhancing pectin deesterification in the cell walls, this gene helps facilitate the binding of aluminum, which is essential for managing Al toxicity. This discovery provides a deeper understanding of the molecular mechanisms regulating aluminum accumulation in tea plants, offering potential strategies for breeding tea varieties with reduced aluminum content and improved safety.

A new study published in Biochar reveals that biochar, a carbon rich soil amendment widely used to improve soil health and reduce pollution, continues to influence the movement of veterinary antibiotics in farmland soils even after five years in the field. The work shows that biochar’s ability to retain pollutants changes in surprising ways over time, shifting from adsorption driven effects in the first year to soil structure driven mechanisms after long term aging.

Understanding how fluoride moves from the soil into tea leaves is critical for both plant health and consumer safety. 

An Osaka Metropolitan University-led study evaluated abnormal genes and immune cell composition in canine hepatocellular carcinoma through RNA sequencing. 

A new case report shows that a quick, bedside ultrasound test can detect possible brain abscesses by identifying characteristic lesions. While not a definitive diagnostic tool, this low-cost method could help emergency departments, especially in resource-limited settings, triage patients faster for advanced scans and crucial surgery.

Researchers from Wroclaw Medical University investigated why some transplanted kidneys deteriorate despite treatment, focusing on a type of rejection called microvascular inflammation (MVI). This form of injury, now highlighted in the updated Banff 2022 Classification, is difficult to detect without biopsy and is often not accompanied by classic markers such as anti-HLA antibodies. To address this diagnostic gap, the team examined the role of non-HLA antibodies, particularly those targeting the angiotensin II type 1 receptor (AT1R).

In a study of 167 transplant recipients, MVI was significantly more common in patients with elevated AT1R antibody levels. Using advanced analytical methods, including artificial intelligence, the researchers identified that only high AT1R titers (>12 U/ml) meaningfully increased the risk of MVI. This suggests that non-HLA antibodies may contribute to graft injury in cases where traditional tests remain negative.

The findings open a path toward developing a more comprehensive, minimally invasive immunological profile to support early diagnosis of rejection. According to the authors, AI-assisted tools may become an essential part of transplant medicine, helping clinicians detect risk sooner and prolong the lifespan of transplanted kidneys.