Yancheng Teachers University

This paper investigates the consensus control of saturated continuous-time multi-agent systems with heterogeneous asymmetric saturation constraints under directed switching topologies of joint connectivity. Notably, the saturation level is asymmetric for each individual agent, and furthermore, these levels differ across the entire agent network. It is proven, by tools of the asymptotic stability and comparison principle, that conventional distributed protocols suffice to achieve consensus under the assumption of a uniformly quasi-strongly connected topology. This result fundamentally establishes the inherent tolerance of consensus algorithm to such generic, non-identical asymmetric saturation constraints. Numerical simulations are carried out to verify the effectiveness of the theoretical results.

Cyclic nucleotide-gated channel (CNGC) genes play key regulatory roles in plant immunity and abiotic stress responses. In this study, we conducted a genome-wide identification and analysis of the CNGC gene family in Suaeda glauca. A total of 44 SgCNGC genes were identified. Through phylogenetic analysis, gene structure analysis, chromosome distribution, conserved motif analysis, collinearity analysis, cis-acting element analysis, subcellular localization, and gene overexpression analysis, we systematically characterized the evolutionary relationships, structural features, and potential functions of this gene family. The results indicate that the SgCNGC gene family is evolutionarily highly conserved but exhibits functional divergence in structure and expression. Furthermore, functional assays revealed that overexpression of SgCNGC13 in Arabidopsis thaliana led to increased salt sensitivity, indicating a negative regulatory role for this gene under salt stress. These findings provide a foundation for understanding the role of the CNGC gene family in the growth, development, and stress response of S. glauca and contribute to the remediation of saline-alkali land.

This study investigates the application of Stable Diffusion in the digital reconstruction of degraded or incomplete cultural heritage patterns. Focusing on traditional Chinese visual artifacts from murals, ceramics, and textiles, we propose a hybrid generative framework that integrates ControlNet for spatial constraint and LoRA for style-specific tuning. A culturally-informed prompt vocabulary and modular style embeddings are employed to ensure that the reconstructed outputs preserve both visual coherence and symbolic authenticity. To evaluate the quality and appropriateness of the generated patterns, we construct a multi-criteria expert assessment system grounded in the Analytic Hierarchy Process (AHP), comprising five key dimensions: structural integrity, stylistic fidelity, semantic accuracy, visual coherence, and cultural appropriateness. Expert evaluations reveal that pattern continuity, texture consistency, and avoidance of anachronisms are critical indicators of perceived reconstruction quality. This work contributes a scalable pipeline for culturally-aware AI restoration, proving extensible to new domains via modular fine-tuning, and provides empirical insight into the strengths and limitations of applying diffusion models in heritage preservation. The findings underscore the importance of combining algorithmic innovation with domain expertise to ensure that AI-assisted reconstructions remain both technically sound and culturally responsible.

ABSTRACT The rapid advancement of aerospace and electronic information technologies has imposed increasingly stringent requirements on microwave absorbing materials (MAMs), such as high absorption efficiency, lightweight, and environmental stability, making the development of advanced MAMs urgent for both civilian and national defense applications. MXenes, as an emerging two‐dimensional material, exhibit great potential as MAMs due to their tunable surface chemistry, excellent conductivity, and diverse composite properties. However, existing reviews of MXene‐based MAMs lack a systematic overview of the synergistic mechanisms between MXenes and other novel materials as well as composition and structure synergistic regulation strategies for performance optimization. This work comprehensively reviews the latest research progress on MXene‐based MAMs, first elaborating on their various loss mechanisms, including conductive loss, polarization loss, and magnetic loss. Furthermore, various composite strategies (hybridization with carbon‐based, magnetic, polymeric, and ceramic materials) and their synergistic effects are explored together with the impact of structural engineering (0D/1D/2D/3D, heterostructures, porous structures) on the tuning of electromagnetic wave absorption performance. Finally, this work discusses the current challenges and future development directions of MXene‐based MAMs, aiming to establish composition–structure–function correlations and provide a reference for their future development.

Facing the real challenges such as the surge of university archives data, the inefficiency of traditional management mode and "data island", this paper systematically discusses the innovative mode of university archives management and its institutionalized construction path. The research constructs an innovative model from three dimensions: technology-driven, service-oriented and management process reengineering, and proposes to empower the whole life cycle management of archives with technologies such as big data, AI and blockchain to promote the transformation of archives resources from "physical collection" to "digital empowerment"; Guided by the needs of multiple subjects, reconstruct the archives service system and realize the deep integration of archives service and university core business; By means of process reengineering, optimize the organizational structure and power and responsibility system, and establish an inter-departmental coordination mechanism. On this basis, the article further puts forward the path of institutionalized construction, including the hierarchical design of institutional system, the standardized management and control of the whole process and the construction of multiple guarantee mechanisms, and forms a long-term governance framework of "system-based, standard-based and guarantee-oriented". The research expands the application boundary of new institutional economics in university public data governance, and provides theoretical support and practical paradigm for the modernization of university archives governance.