Jilin Engineering Normal University

Internet of Things (IoT) agents that trigger network enforcement actions must be both well-calibrated (for safe triage) and tail-latency predictable (for service level objectives, SLOs). We present Confidence-Calibrated HP-FedGAT-Trust-IBN, a federated, graph-attention architecture that closes the loop from IoMT sensing to SDN enforcement via parameter-efficient (LoRA/PEFT) updates ([Formula: see text] MB/round), trust-weighted secure aggregation, and intent verification (IBN) triage. Evaluation follows a two-plane protocol: a learning plane with [Formula: see text] simulated clients under a matched comparator harness (Graph-FL and uncertainty-aware FL baselines), and a serving plane that replays exported checkpoints on real edge devices (Raspberry Pi 5, Jetson Orin Nano, Intel NUC 11) and validates SLOs using hardware ECDFs and empirical [Formula: see text]. The model achieves high discrimination (ROC-AUC/PR-AUC [Formula: see text]-[Formula: see text]) with improved calibration (low ECE) under the matched harness, while the serving loop satisfies the [Formula: see text] ms requirement by device-measured [Formula: see text] (e.g., enforcement [Formula: see text] ms, vs.[Formula: see text] ms for an efficient-UQ baseline) and explicit compliance [Formula: see text]. The latency decomposition includes all calibration costs and Monte-Carlo expectations ([Formula: see text], with measured MC share reported), and security modes are quantified end-to-end: CKKS + SMPC adds device-measured [Formula: see text] and crypto-attributable Joules (e.g., [Formula: see text] ms and [Formula: see text] J/round on Raspberry Pi 5). Energy/round is measured on identical hardware and mapped to CO2e for carbon-aware selection of operating points.

This study addresses the disconnect between university innovation and entrepreneurship courses and the needs of the regional cultural tourism industry in cold - region contexts. Its innovation lies in being the first to establish "cold regions" as a core contextual variable in curriculum development, thus overcoming the limitations of generalized and homogeneous innovation courses.Focusing on Jilin Province's ice and snow economic belt (including core areas like Changbai Mountain and Beidahu Lake), the research targets cultural tourism majors in universities. It explores how to develop innovation courses tailored to low - temperature environments, seasonal fluctuations, and the unique characteristics of ice and snow culture.Through interviews with multiple cold - region cultural tourism enterprises and surveys of 327 students from five universities, the study employs the work process systematization theory to reconstruct courses.Results reveal: (1) Cold - region cultural tourism entrepreneurship requires three specialized capabilities: "low - temperature environment product adaptation," "off - season cash flow management," and "extreme weather risk control"; (2) A "four - stage progressive" development path effectively translates industry needs into course objectives; (3) Modular courses centered on "cold - region competencies" significantly enhance the feasibility of students' cold - region entrepreneurship projects. The study provides replicable and scalable educational solutions to support Jilin Province's cultural tourism revitalization.

Abstract As the main by-product of Rana chensinensis product processing, Rana chensinensis skin has important development and utilization value because it is rich in a variety of bioactive components. In this study, Bacillus subtilis was used as the fermentation strain to explore the efficient preparation process and antioxidant activity of peptides from Rana chensinensis skin. The fermentation conditions were optimized by single factor experiment and response surface analysis, and the optimal parameters were determined as follows: inoculum volume was 3%, fermentation time was 16 h, and shaking speed was 190 rpm. Under these conditions, the peptide content of the fermentation product reached 71.46 ± 0.92 mg/mL, and the DPPH scavenging rate was 81.29 ± 1.03%, which were 1.77-fold and 4.71-fold higher than those before fermentation, respectively, and the antioxidant activity was significantly improved. The molecular weight distribution of peptides in fermentation liquor was further analyzed by high performance liquid chromatography. The results showed that the proportion of peptides with molecular weight less than 10,000 Da was up to 90%, and 50.54% of small peptides were concentrated in the range of less than 3000 Da. Subsequently, small molecular peptides were obtained by ultrafiltration centrifugation, which showed higher DPPH scavenging rate, and their key role in antioxidant activity was verified. This study realized the high-value utilization of Rana chensinensis skin, not only laid an experimental foundation for its application in various fields, but also provided a scientific basis for the sustainable utilization of Rana chensinensis skin.

H-abstraction and C≡C 1,3-cycloaddition mechanisms were discovered for the O3 + CH≡CCH2OH reaction. The computations manifested that the primary reaction channel is 1,3-cycloaddition involving O3 addition to the C≡C triple bond of CH≡CCH2OH to generate primary ozonide (IM1), which dissociated to generate two different Criegee intermediates (reactions of CI1 and CI2). The subsequent CI1 and CI2 were also detailedly investigated. The rate coefficients were also investigated at 200-3000K and 10-10-1010atm. At normal temperature and pressure, the rate coefficient was 4.46 × 10-19 cm3 molecule-1s-1 with an atmospheric lifetime of 25.95days. The current computation results have significant implications in the atmospheric chemistry of ozone oxidation of unsaturated alcohols. All calculations of electronic structure and energy in this study are implemented using Gaussian09. The geometries of all species for the O3 + CH≡CCH2OH reaction and subsequent reactions were optimized using the M06-2X method with the 6-311++G(d,p) basis set. All stationary points were determined for local minima and transition states through vibrational analysis, and connections of the transition states between designated reactants and products were proven through intrinsic reaction coordinate (IRC) computations. The energies for the potential energy surfaces (PES) were refined through the single-point computations using the CCSD(T)/cc-pVTZ level of theory. The rate constants for the title reaction and subsequent reactions had been computed with RRKM theory.