Luoyang Institute of Science and Technology

ABSTRACT This paper investigates the combined effects of corrosion and alternating stress on the corrosion fatigue (CF) life of high‐strength steel wires (HSSWs). An extensive dataset of CF samples for HSSWs is presented, considering stress range, cyclic loading frequency, and potential difference as influencing factors. A generalized probabilistic model is developed to predict the CF life of HSSWs by exploring the combined effects of these factors. The results indicate that the proposed model accurately fits the CF samples and effectively predicts the CF lives of HSSWs with a specified survival probability. At higher stress ranges, CF life initially increases but then decreases as the potential difference rises, indicating a competing interaction between corrosion and fatigue mechanisms. The CF lives of HSSWs are particularly sensitive to lower stress ranges, lower cyclic loading frequencies, and higher potential differences. Notably, the effect of cyclic loading frequency becomes negligible when it exceeds 10 Hz.

Exserohilum turcicum is the causal agent of northern corn leaf blight, an important disease of maize in China. To investigate the genetic diversity and population structure of this pathogen, 90 isolates from three provinces in China were analyzed using simple sequence repeat markers. Nei's gene diversity values across the three geographical populations ranged from 0.439 to 0.536, with a mean of 0.499. Phylogenetic analysis indicated that all isolates were clustered into five genetic groups, each predominantly associated with a specific geographic population. Population structure analysis revealed that the dominant genetic clusters were obviously different in the three populations. Molecular variance analysis demonstrated that 21.57 and 78.43% of the total variation were distributed among and within the three populations, respectively. Fixation indices between the three populations varied from 0.081 to 0.165, with an average of 0.134. These findings reveal high genetic diversity and obvious population differentiation of E. turcicum from maize in China.

Efficiently and accurately extracting key information from videos has become a core challenge in the current computer vision. Traditional methods rely on manual features and shallow models, making it difficult to capture complex spatiotemporal dynamics, while existing deep learning schemes still have shortcomings in detection accuracy and precision. To optimize the accuracy and robustness of key information detection in videos, an improved 3D Dense Net is proposed. This method introduces the P3D module to decompose spatiotemporal convolution to reduce computational complexity, integrates the channel-spatial and the time dual-attention mechanism to enhance feature expression, and combines self-distillation structure and cross-modal attention mechanism to effectively integrate visual and auditory information. The accuracy of the proposed method reached 95.4% and 93.1% on the UCF-Crime and Surveillance Fight datasets, which was significantly higher than that of traditional models. The proposed method had the lowest error of only 0.18 and 0.19, and the highest AUC values reached 91.8% and 96.0%. Moreover, after introducing P3D and attention mechanism, the accuracy of the proposed method was improved by 25%. The method has improved the accuracy of key information detection in videos, providing a new solution for multi-modal video understanding in complex scenes.

Two types of basalt fiber-reinforced polymer (BFRP) anchor cables—a Tension-concentrated anchor cable (TCAC) and a Pressure-dispersed anchor cable (PDAC)—were developed through structural modification of the rod body and implemented for reinforcing fractured rock masses on highway tunnel slopes in western Henan Province, China. The feasibility of replacing conventional steel rods with BFRP bars and the corresponding anchorage mechanisms were investigated. The experimental results indicate that the axial force distribution differs markedly between the two anchors. The TCAC exhibits a decreasing axial force with depth, forming a concave distribution under low load and a convex distribution under high load, with the force approaching zero beyond 100 cm. In contrast, the PDAC displays a relatively uniform axial force that sharply decreases near the bearing plate, and, under increasing load, the axial force at the anchorage end tends to rise; Both anchors demonstrate single-peak interfacial shear stress distributions. For the TCAC, the peak progressively shifts toward deeper regions with increasing load, whereas the peak of the PDAC consistently appears near the bearing plate, with only its magnitude increasing. Stability analysis using GEO5 software reveals that the slope safety factor increases from 1.32 (without anchors) to 1.36 (with anchors), thus satisfying the design requirements. The results reveal the different anchoring mechanisms of tension-concentrated anchor cables and pressure-dispersed anchor cables, providing practical guidance for their selection and application in slope stabilization engineering.