Hair loss and graying, the earliest visible hallmarks of skin aging, result from the functional decline of hair follicle stem cells (HFSCs) and their niche. Dr. Zhao and colleagues conducted a comprehensive analysis of human scalp samples using single-cell RNA sequencing (11 samples, 57,181 cells in total) and spatial transcriptomics (1 sample) to detail the mechanisms involved. The study confirmed the transitional stages of three mitotic keratinocyte subtypes. Comparison of middle-aged and young scalps revealed three key age-associated changes: activated AP-1 transcription factor complex in keratinocytes; up-regulated DCT gene in melanocytes; and a dramatic decrease in BMP and non-canonical WNT (ncWNT) signaling within the critical dermal papilla-keratinocyte crosstalk. This breakdown of essential inter-cellular communication and activation of stress signals provides valuable, cell-resolved insights into hair follicle aging, supporting the development of future regenerative therapies targeting these pathways.

Large-scale Low Earth Orbit (LEO) constellations have become a focal point for providing round-the-clock high-fidelity information services. However, their efficient and economical batch deployment faces severe challenges from growing demands and multiple constraints, with existing methods struggling to address the computational complexity in large-scale scenarios. To meet this pressing need, this study published in the Chinese Journal of Aeronautics proposes an innovative deployment optimization framework. At its core, it constructs a novel partial time-expanded network and employs an efficient hybrid algorithm to significantly reduce constraint explosion, enhancing solution efficiency and scalability. The framework supports dual-channel, multi-configuration rocket strategies and flexible deployment under multiple mission triggers through weighted optimization. Ultimately, it effectively reduces deployment costs, improves optimization efficiency, and provides reliable decision support for large-scale constellation deployment.

Heterogeneous interface engineering is key to tailoring intrinsic electromagnetic wave (EMW) attenuation. However, fully harnessing the functional benefits of these interfaces requires precise control of their architecture—a major challenge in hierarchical heterostructure design.

A comprehensive review published in Food & Medicine Homology highlights the transformative potential of time-resolved fluoroimmunoassay (TRFIA) as a fast, sensitive, and practical method for detecting pesticide residues in foods.

To overcome the challenge of insufficient loss strength in single-phase high-entropy ferrites, this work develops a novel defect-engineering-driven dual-phase strategy to fabricate spinel/rock-salt structured (Fe₀.₅Mg₀.₅CoNiCuMn)₃O₄@CuO composite ceramics. Combined experimental characterization and first-principles calculations demonstrate a strong positive correlation between defect concentration and microwave absorption performance. The optimized material achieves outstanding electromagnetic absorption with a minimum reflection loss of -48 dB and an effective absorption bandwidth of 3.9 GHz in the X-band. Remarkably, this work obtains 70% bandwidth retention after 1200 °C oxidation and a thermal conductivity of 2.154 W·m⁻¹·K⁻¹, demonstrating exceptional high-temperature stability and thermal management capability. This study pioneers a new pathway for the development of oxidation resistance and electromagnetic protection materials through defect-engineering-driven synergistic modulation.

The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been investigated for years. In a recent breakthrough published in the Chinese Journal of Aeronautics, a novel intelligent decision-making framework that addresses incomplete interference information has emerged. This innovative framework integrates fuzzy logic for uncertainty modeling, dynamic constrained multi-objective optimization, and transfer learning, enabling UAV swarms to achieve autonomous and efficient spectrum allocation under rapidly changing conditions while maintaining both communication performance and security.

Researchers at Tsinghua University developed PriorFusion, a unified framework that integrates semantic, geometric, and generative shape priors to significantly improve the accuracy and stability of road element perception in autonomous driving systems. The research addresses a long-standing challenge: existing end-to-end perception models often generate irregular shapes, fragmented boundaries, and incomplete road elements in complex urban scenarios.

Ride-pooling is widely recognized as a sustainable way to ease congestion, reduce costs and cut emissions, yet adoption remains limited.  When operators act independently, efficiency is low because requests cannot be matched across platforms.  Aggregation platforms seek to improve this by forcing all operators into a permanent coalition, but differences in size, cost and market position make such arrangements unstable.  To address this, researchers from Beihang University and Delft University of Technology developed a multi-level coalition formation game framework that enables coalitions to form dynamically in response to trip requests, allowing flexible cooperation without requiring all operators to remain in a single group at all times.