Workpiece surface roughness measurement based on traditional machine vision technology faces numerous problems such as complex index design, poor robustness of the lighting environment, and slow detection speed, which make it unsuitable for industrial production. To address these problems, this paper proposes an improved YOLOv5 method for milling surface roughness detection. This method can automatically extract image features and possesses higher robustness in lighting environments and faster detection speed. We have effectively improved the detection accuracy of the model for workpieces located at different positions by introducing Coordinate Attention (CA). The experimental results demonstrate that this study’s improved model achieves accurate surface roughness detection for moving workpieces in an environment with light intensity ranging from 592 to 1060 lux. The average precision of the model on the test set reaches 97.3%, and the detection speed reaches 36 frames per second.

This paper attempts to allocate a segment of the Paleozoic Ocean situated in what is now Southeastern Europe (SEE) into a regional geological and paleotectonic synthesis connecting the sedimentary, metamorphic and igneous records associated with the ocean’s cycle. The Supragetic basement (external section of the Carpatho-Balkan arch) represents a tectonically reworked basement vestige of the Neoproterozoic–Lower Paleozoic oceanic floor system recrystallized under regional low temperature greenschist-facies conditions. The regional geological constraints associated with this low-grade basement are integrated with information from the overlying Silurian, Devonian and Lower Carboniferous cap-rocks of the “Kučaj Unit” to demonstrate the presence of a major Paleozoic ocean crossing this segment of SEE. In connection with the Lower Paleozoic north Gondwanan Pan- African processes, the low-grade Supragetic basement (including its Devonian cover) is in a complex relationship with the occasionally anchimetamorphic Silurian, Devonian, and Lower Carboniferous deep-water record of the polymetamorphic “Kučaj Unit”. The Upper Devonian–Lower Carboniferous flysch and molasse of the “Kučaj Unit” are interposed with the Neoproterozic–Lower Paleozoic oceanic vestige or with the Supragetic basement with the corresponding Devonian Balkan-Carpathian back-arc ophiolite-bearing lithosphere and its carrier (Danubian Unit). This regional-scale synthesis demonstrates that a segment of the Rheic Ocean referred to as the Saxo-Thuringian seaway and its suture lay to the east, underneath the Permian red-bed overstepping sequence and to the west of the Danubian aggregation. Unlike many of the high-pressure rocks characterizing the segment of the Rheic suture in the Central European Variscides, the SEE zone described here has only a mild overprint.

The article offers a critical insight into the social history of ideas as a research trend that has been dynamically developing within French academic circles since 2010. Methodologically, the social history of ideas attempts to apply sociological tools to study the diffusion and embedding of political ideas within specific groups. After presenting the general directions of this trend's development, the author focuses on its critics, offering their own reflections on the difficulties one might encounter when applying its principles to research on Central‑Eastern Europe. To tackle this task, the author provides a methodological exercise to verify the extent to which the principles of social history of ideas can be applied to the study of (semi)peripheral ideas. In conclusion, the author emphasises the invigorating nature and critical tasks that social history of ideas can fulfill within Polish historiography as well.

In this paper, the stiffness and internal force of the finite element model of a cable-stayed bridge, arch bridge and cooperative system bridge with the same span are analyzed, and the stress characteristics of cooperative system bridge compared with arch bridge and cable-stayed bridge are studied. In the stiffness analysis, the live load deflections of the arch bridge (maximum deflection – 6.07 mm) and the cooperative system bridge (maximum deflection –6.00 mm) are similar, while the cable-stayed bridge (maximum deflection –16.27 mm) has a larger deflection. In the internal force analysis, compared with the internal force of the main girder, it can be seen that the girder of the cooperative system bridge reduces the girder-column effect compared with the cable-stayed bridge. The main girder of the cooperative system bridge reserves more stress than the arch bridge. In the stress analysis of arch rib, the axial force and bending moment of arch rib under dead load of cooperative system bridges are greater than the cooperative system bridge. The maximum difference of axial force and bending moment between arch bridge and cooperative system bridge is 16.2% and 58.8%, but there is no obvious difference under live load. In the stress analysis of the cable tower, the advantages of the cooperative system bridge are more obvious under dead load and live load. In the comparative analysis between the cable and the derrick, the dead load and live load are mainly carried by the derrick, and the derrick bears 84% dead load and 97% live load. The research results can provide reference for the stress analysis of similar bridge structures.

Titanium alloy (Ti-6Al-4V) has been extensively used in aircraft turbine-engine components, aircraft structural components, aerospace fasteners, high performance automotive parts, marine applications, medical devices and sports equipment. However, wide-spread use of this alloy has limits because of difficulty to machine it. One of the major difficulties found during machining is development of poor quality of surface in the form of higher surface roughness. The present investigation has been concentrated on studying the effects of cutting parameters of cutting speed, feed rate and depth of cut on surface roughness of the product during turning of titanium alloy. Box-Behnken experimental design was used to collect data for surface roughness. ANOVA was used to determine the significance of the cutting parameters. The model equation is also formulated to predict surface roughness. Optimal values of cutting parameters were determined through response surface methodology. A 100% desirability level in the turning process for economy was indicated by the optimized model. Also, the predicted values that were obtained through regression equation were found to be in close agreement to the experimental values.