Recursive intelligent geographic modeling based on the "data-knowledge-model" tripartite collaboration
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Dec-2025 18:11 ET (2-Dec-2025 23:11 GMT/UTC)
In a position paper published in Journal of Geo-information Science, a team of scientists mainly from Chinese Academy of Sciences advocate the potential of recursive intelligent geographic modeling based on the "data-knowledge-model" tripartite collaboration. They highlight the fundamental role of domain modeling knowledge driving geocomputation with geospatial data to achieve successful geographic model workflow adaptive to application context.
Grapevines, widely valued for their fruit and wine, are especially vulnerable to cold temperatures.
Addressing the critical challenge of crack propagation in electrodeposited SiO2 coatings caused by cristobalite phase transitions, the Al nanoparticles were incorporated into SiO2 coatings for enhanced phase stability and durable temperature oxidation resistance. Incorporating Al inhibits and optimizes the generation of cristobalite, suppressing the formation of cracks, thereby reducing the parabolic oxidation rate constant of the SiO2 coating by 32.4% after oxidation at 900 °C for 100 h. The DFT calculations demonstrate that the introduced Al preferentially exists in a substitutional form, effectively stabilizing the K@SiO2 lattice structure by inhibiting K migration-induced cristobalite precipitation. Thermodynamically, the negative solution energy (-4.367 eV) of K@Six-1AlO2x confirms the spontaneous incorporation of substitutional Al into K@SiO2 lattice. Structurally, substitutional Al forms a shorter Al-K bond (2.91 Å) compared to the Si-K bond (3.39 Å), which can mitigate K-induced channel distortion and hinder the migration of K. Charge distribution analysis reveals that the Mulliken charges of Al (1.040) partially neutralize the Mulliken charges of K (-2.187), reducing electrostatic repulsion and promoting localized bonding. Furthermore, the incorporation of Al can restrain the precipitation of brittle Z-phase, further contributing to improved oxidation performance.
Within the transition process of urban rail transit system, challenges of high energy consumption, increasing carbon emissions, limited economic viability, and intricate risks emerge as significant hurdles. This paper proposes a novel energy utilization framework for urban rail transit system incorporating underground energy storage systems characterized by high resilience and low carbon. Firstly, existing methods are comprehensively reviewed. Then, the integrated framework is introduced, which effectively utilizes and manages diverse renewable energy sources and the available space resources. The viability is demonstrated through a case study by combining Nanjing Metro. Finally, the suggestions research in pivotal areas are summarized.
Researchers have developed a portable diagnostic system that evaluates an individual’s antibody protection against COVID-19 using just one microliter of fingertip blood. The Tip Optofluidic Immunoassay (TOI) combines high-sensitivity chemiluminescence detection with microfluidic biosensing to assess antibody protection from both pathogen binding and virus inhibition perspectives—all in just 40 minutes. While many platforms measure antibody levels, few capture the functional aspect of immunity: neutralization. TOI incorporates a renovated in vitro inhibition assay (RIVIA), enhanced through rational protein design to achieve high sensitivity and reproducibility. Unlike conventional methods that require large blood volumes and centralized lab facilities, TOI enables comprehensive immune profiling with minimal resources. Validated in over 100 volunteers, the platform shows strong potential for both public health surveillance and personalized immune assessment. This innovation bridges the gap between laboratory diagnostics and real-world healthcare, offering a practical tool for monitoring vaccine effectiveness and tracking immunity against emerging viral variants.
Microplastic pollution in agricultural soils is an emerging threat to food safety and ecosystem health, yet detecting these tiny particles at low concentrations remains a major challenge.