High altitude long endurance aircraft, benefitting from excellent aerodynamic performance and dwell time, could suffer aerodynamic and structural nonlinearities during severe environments. These coupled nonlinearities can result in unfavorable aeroelastic responses, posing a potential threat to structural integrity and flight safety. Most studies focused only on aeroelastic systems with isolated structural or aerodynamic nonlinearity. It is necessary to fill this research gap since coupled nonlinearities can cause significantly different aeroelastic signatures that cannot be captured in an isolated nonlinear case.

Unmanned aerial vehicles (UAVs), characterized by their low cost and operational flexibility, can be utilized to realize the comprehensive spatial coverage for the sixth-generation mobile networks. However, the private data in UAV networks is easy to be exposed due to the line-of-sight links and openness of wireless transmission. Covert communication as an emerging technique has shown its superiority in hiding the transmission behavior to further enhance the security of UAV networks. Therefore, we present a survey on the recent advanced research about covert UAV communications.

The gut microbiota is widely recognized as a central regulator of human health and disease. Medicine-food homologous resources, leveraging their inherent safety and multi-target characteristics, serve as pivotal modulators for intervening in metabolic, inflammatory, and immune-related disorders via microbiota regulation. However, the inherent complexity, substantial interindividual variability, and dynamic nature of the gut microbiome remain major hurdles to achieving precise interventions. This perspective delineates a novel paradigm for precision medicine-food intervention, built upon three interconnected and cutting-edge directions: (1) targeting key microbial metabolites, (2) advancing targeted delivery technologies for beneficial microbes, and (3) implementing artificial intelligence (AI)-assisted personalized microbiome functional profiling. This triad synergistically addresses the challenge of individual variability and paves the way for highly effective and precise interventions.

UAV shipboard landing has gained extensive attention, due to its potential to enhance operational efficiency in maritime applications, including surveillance, inspection, refueling, and sea rescue missions. However, the oscillatory ship motion caused by the sea wave interactions and wind gusts, especially in rough sea states, may lead to UAV trajectory deviations or even collisions, significantly escalating the challenge of shipboard landing. Consequently, the development of safe and reliable UAV shipboard landing techniques is of great importance and remains a critical research priority.

Slurries with high solid loading and low apparent viscosity are critical for spontaneous coagulation casting (SCC) and other in situ slurry solidification techniques. When the solid loading of slurry is increased, it helps to reduce the drying shrinkage of wet body, the sintering shrinkage of green body and accelerate the densification process of ceramics. In recent years, many scholars have dedicated to increasing the solid loading of the alumina ceramic slurry. However, there is no breakthrough about an alumina slurry with both high solid loading and low apparent viscosity. An excessively high apparent viscosity will make it difficult to debubble, thereby reducing the density of the green body.

Antimicrobial resistance has become one of the top global public health and development threats due to the misuse and overuse of antimicrobials in humans, animals, and plants. Researchers are leveraging artificial intelligence and interdisciplinary approaches to design antimicrobial peptides (AMPs) that show a reduced risk of inducing resistance. Precise targeting design makes AMPs more efficient for combating drug-resistant bacteria and fungi, with applications spanning medicine, agriculture, and food safety.

This article discusses the transformative role of spatial metabolomics in advancing research on "food-medicine homology." By integrating metabolomics with spatial analysis technologies, this approach preserves the original spatial distribution information of metabolites within tissues, enabling a paradigm shift from mere component identification to precise localization. The paper highlights that food-medicine homology substances exhibit multi-component synergies, spatiotemporal dynamics, and strong environmental dependencies. Spatial metabolomics allows visual tracking of the absorption, distribution, and metabolic pathways of these components in vivo, reveals interaction mechanisms among components, gut microbiota, and the host, and provides chemical evidence for evaluating the geo-authenticity of medicinal materials. Despite challenges such as high detection costs and a lack of technical standardization, spatial metabolomics is poised to transition food-medicine research from macroscopic effect evaluation to microscopic spatial resolution. It holds promise for supporting personalized dietary recommendations, intelligent cultivation technologies, and the modernization of traditional medicine, ultimately contributing to global health innovation under initiatives like "Healthy China 2030."

Plant-derived Extracellular Vesicles (PDEVs)—nanoscale vesicles packed with bioactive molecules from food-medicine homology plants—offer promising applications in anti-inflammatory therapy, bone regeneration, and targeted drug delivery. However, traditional production methods suffer from severe quality fluctuations and batch-to-batch inconsistencies, limiting their use. A new study published in Food & Medicine Homology demonstrates that the Temporary Immersion Bioreactor System (TIBS) solves these critical issues through precise environmental control, enabling standardized PDEV production. This innovation paves the way for PDEVs’ industrialization and clinical translation in biomedicine.