Realization of Super-Large-Diameter Slurry Shield Passing through Settlement-Sensitive Area Based on Unreinforced Disturbance Control Technology

Due to the complex construction conditions of shield tunnels, ground disturbance is inevitable during the construction process, which leads to surface settlement and, in serious cases, damage to surrounding buildings (structures). Therefore, it is especially important to effectively control the constructive settlement of subway tunnels when crossing settlement-sensitive areas such as high-density shantytowns. Based on the project of Wuhan Metro Line 8 Phase I, the shield of Huangpu Road Station-Xujiapang Road Station interval crossing high-density shantytowns, we study the disturbance control technology of oversized diameter mud and water shield crossing unreinforced settlement-sensitive areas during the construction process. By optimizing the excavation parameters and evaluating the ground buildings, the excavation process can be monitored at the same time, and the water pressure, speed, and tool torque required during the excavation during the construction process can be finely adjusted; the control of tunneling process parameters can provide reference and basis for analyzing the construction control of large-diameter shield through old shantytowns.

Portrayals of gender and identity in the soundtrack of The Witcher 3: Wild Hunt

The Witcher 3: Wild Hunt (CD Projekt Red, 2019) is an award-winning role-playing video game (RPG); the third instalment of The Witcher game series inspired by Polish author Andrzej Sapkowski’s fantasy novels. Centring upon the protagonist Geralt of Rivia, The Witcher 3 has been praised for developing a complex, authentic, and immersive game environment that combines magic and fantasy elements within a broadly medieval setting. A central aspect of the game’s success is its soundtrack – the fusion of music, sound, and voice – which further contributes to building the game’s overall narrative and the complex construction of its central characters. This paper explores how The Witcher 3’s soundtrack constructs identity, focusing in particular on its use of neo-medievalist signifiers and its contrasting representations of masculinity and femininity. Neo-medievalist sounds are a central concept in building the game’s identity; these sounds draw on folkloristic elements surrounding the choice of instrumentation and the recurrence of folk music throughout the game’s narrative, thus increasing the player’s immersion within The Witcher 3’s world. Regarding gender, female vocalisations are used within the soundtrack to add depth and emotion to male characters – particularly Geralt of Rivia, who due to his mutations lacks in conventional emotional capabilities. Despite the inclusion and emphasis of female voices on the soundtrack, the placement of women in influential roles is limited through other musical scoring techniques, which effectively reduces the agency of these characters, thus suggesting an imbalanced treatment towards gender. Through exploring these aspects, I argue that the soundtrack is a crucial part of how gender and identity are constructed throughout The Witcher 3, further exploring how these elements affect the player’s overall in-game immersion.

Coronas for properly combable spaces

This paper is a systematic approach to the construction of coronas (i.e. Higson dominated boundaries at infinity) of combable spaces. We introduce three additional properties for combings: properness, coherence and expandingness. Properness is the condition under which our construction of the corona works. Under the assumption of coherence and expandingness, attaching our corona to a Rips complex construction yields a contractible [Formula: see text]-compact space in which the corona sits as a [Formula: see text]-set. This results in bijectivity of transgression maps, injectivity of the coarse assembly map and surjectivity of the coarse co-assembly map. For groups we get an estimate on the cohomological dimension of the corona in terms of the asymptotic dimension. Furthermore, if the group admits a finite model for its classifying space [Formula: see text], then our constructions yield a [Formula: see text]-structure for the group.

Moving Toward Emotions in the Aesthetic Experience

In this chapter, the authors comment on their original review published in 2009 in Current Opinion in Neurobiology where, as they build a general theoretical framework that encompasses major empirical work in the field of neuroaesthetics since then, they also emphasize the role of the motor system and emotions in building an aesthetic experience. In this chapter, the authors extend their previous view with further empirical evidence, including from clinical and developmental psychology, thus supporting the idea that perception is not a mere “visual” copy of what is before our eyes, but the result of a complex construction whose outcome depends on the contribution of our body and its motor potential, our senses and emotions, imagination and memories. While the authors offer some food for thought for future research, they conclude by introducing a fairly recent line of study that explores the role of embodiment in architecture.

Modeling of complex construction problems for randomly changing technological processes

Summary Modeling of complex construction problems for randomly changing technological processes occurs during the production of rubber compounds. Without a good knowledge of the technology of producing rubber compounds, durable and efficient mixers cannot be designed. The conducted industrial research has been shown that the process of mixing the raw materials varies in time and that the forces acting inside the mixer chamber are distributed randomly. During the mixing process of the chemical components, the position of the force changes inside the mixing chamber. The load on the mixer changes over time - as a result of mixing the raw materials and the pressure of the beater. After feeding the raw materials into the mixing chamber, a big concentrated force is reacted on the ram of the mixer, which over time is transformed into several concentrated forces acting simultaneously. Then, as a result of mixing raw materials, temperature and chemical reactions, a pressure acts on the walls of the chamber and the ram of mixer. The conducted research has proved that the most dangerous, from the point of view of the mechanical durability of the mixer, is the first stage of production, in which the beater is subjected to concentrated force. Then, the compactor deforms much more and it can scratch the surface leading to damage to the mixer. The conducted research allows for a much better understanding of the process and thus to carry out a variant simulation of deformations occurring during operation, and thus to improve the durability of the mixer mechanisms.

Based on the Software Complexity Measurement of Complex Networks under Big Data Technology

With the development of the times, computer technology is booming, so the network is becoming more and more complex, software design is becoming more and more complex, because of the protection against a variety of internal or external risks. The internal risk is that the traffic carried by the system is too large to cause the system to crash or the system to crash caused by the code operation error, and the external threat is that hackers use computer technology to break into the system according to security vulnerabilities, so the purpose of this paper is based on big data technology, the software complexity of complex networks is measured and studied. With the consent of the school, we used the school’s internal network data, and after consulting the literature on the complex construction and analysis of complex networks and software, modeled and analyzed it using the improved particle group algorithm. The experimental results show that there is a certain correlation between complex network and software complexity. Because complex networks determine that software requires complex construction to withstand potential risks to keep the software running properly.

Language and the Military: Necropolitical Legitimation, Embodied Semiotics, and Ineffable Suffering

This article augments and complicates Nelson's claim that “we talk our way into war and talk our way out of it” ( Dedaić & Nelson 2003 , p. 459). Military endeavors require verbal legitimation, but militarizing participants and wide swaths of the civilian population requires more than just a stated rationale. It requires the complex construction of acquiescent selves and societies through linguistic maneuvers that present themselves with both brute force and subtlety to enable war's necropolitical calculus of who should live and who can, or must, die ( MacLeish 2013 , Mbembe 2003 ). War also involves vexed, stunted, and deadly forms of communication with perceived enemies or civilian populations. And those who are victims of military deeds, including civilians and sometimes service members themselves, are often left with psychic wounds that they cannot talk their way out of, for such wounds resist semantic expression and may emerge through more complex semiotic forms.

DWCA-YOLOv5: An Improve Single Shot Detector for Safety Helmet Detection

Aiming at solving the problem that the detection methods used in the existing helmet detection research has low detection efficiency and the cumulative error influences accuracy, a new algorithm for improving YOLOv5 helmet wearing detection is proposed. First of all, we use the K -means++ algorithm to improve the size matching degree of the a priori anchor box; secondly, integrate the Depthwise Coordinate Attention (DWCA) mechanism in the backbone network, so that the network can learn the weight of each channel independently and enhance the information dissemination between features, thereby strengthening the network’s ability to distinguish foreground and background. The experimental results show as follows: in the self-made safety helmet wearing detection dataset, the average accuracy rate reached 95.9%, the average accuracy of the helmet detection reached 96.5%, and the average accuracy of the worker’s head detection reached 95.2%. Making a comparison with the YOLOv5 algorithm, our model has a 3% increase in the average accuracy of helmet detection, which is in line with the accuracy requirements of helmet wearing detection in complex construction scenarios.