The study investigated serum concentrations of multiple elements and copper isotopic fractionation in healthy, anemic, and overweight or obese children, to give metallome profiles and evaluate the feasibility of these elements and δ⁶⁵Cu as a potential indicator with metallome comprehensively for early subclinical status. This study addresses two of the most prevalent and impactful pediatric health concerns globally, anemia and childhood overweight/obesity, through an innovative multi-elemental and isotopic lens.

Researchers have developed a controllable micro-scale multiphase flow strategy for fabricating BaCrO₄@B core-shell energetic microspheres with highly uniform structures and precisely tunable shell thickness. The study demonstrates that rational microstructural design enables controllable thermal decomposition and stable combustion behavior, providing a scalable platform for customizing next-generation composite energetic materials.

Researchers have developed a multiscale simulation framework combining ab initio molecular dynamics (AIMD) and reactive molecular dynamics (RMD) to investigate how molecular vacancies and nanoscale voids jointly influence hotspot formation in RDX. The study reveals a shock-velocity-dependent mechanism in which vacancies dominate hotspot initiation at lower shock strengths, while void collapse governs thermal localization under stronger shock loading.

Researchers proposed an image-aided terminal guidance attitude control method for Explosively Formed Penetrator (EFP)-equipped multirotors to achieve long-range precision strikes, solving disturbance, EFP dispersion and visual-attitude coupling problems. Published in Defence Technology, the work built a multi-source EFP dispersion model, designed an NTSM-STO composite controller, and validated its fast response, strong robustness and high hit rate via Monte Carlo simulations and real flight tests.

This review synthesizes the evolution of aquatic ecosystem health assessment and proposes a paradigm shift from descriptive monitoring to predictive, intelligent governance. Led by Yong Liu from Peking University, the research team introduces a gene-to-landscape framework that integrates multi-omics, environmental DNA, ecological observation, and AI-enabled remote sensing to enable early warning, causal attribution, and anticipatory decision support for freshwater ecosystems under global change.

This review summarizes flexible electromagnetic induction-type tactile sensors that convert touch-induced magnetic-flux variation into electrical signals. It establishes an integrated framework linking magnets, coils, soft materials, signal processing and circuits, and discusses their relevance to wearable electronics, medical monitoring, human-machine interfaces and intelligent robotics.

Researchers tracked longitudinal alterations in adipose and muscle tissue through routine CT scans. Worsening visceral fat tissue degeneration predicts complications for compensated chronic hepatitis B-related cirrhosis, while sustained muscle loss signals risk in decompensated patients.