Volume 16 Issue 9

This study addresses the long-standing gap between literary theory and computational modeling by focusing on defamiliarization, a central technique in modernist poetics. While defamiliarization has been extensively theorized in literary studies, its computational treatment remains limited due to its semantic complexity and subjective nature. To operationalize this phenomenon, the research introduces MelPoet, a poetics-informed neural architecture adapted from MelBERT. Two tasks are formulated: defamiliarization identification as binary classification, and defamiliarization scoring as regression of estrangement intensity. A curated dataset of modernist poetry and control texts was annotated for both presence and degree of defamiliarization. Experimental results demonstrate that MelPoet substantially outperforms strong baselines in both classification accuracy and scoring correlation, confirming the efficacy of its theory-driven design. This work not only advances computational methods for modelling figurative language but also provides a systematic framework for integrating literary concepts into natural language processing, thereby opening new avenues for large-scale, data-driven analysis of poetic style.

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Motion capture has become a core technology for applications involving virtual digital humans, such as virtual streamers (VTubers). This paper proposes a motion-capture and model-driven system that relies on keypoint detection performed on edge-computing devices. The system implements independent keypoint detection for multiple body parts and parallel real-time processing on edge devices, enabling real-time keypoint detection of the body, hands, and face. By offloading tasks to edge devices, it reduces the resource footprint of motion capture and lowers deployment costs. Experimental results show that employing edge-computing devices can significantly reduce device load and enable deployment across a variety of platforms.

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Under the strategic framework of “dual-carbon” goals (carbon peaking and carbon neutrality), high efficiency, energy conservation, and intelligence have become imperative trends in the development of ore-comminution equipment. In sectors such as mining, construction, and metallurgy, crushers serve as the critical hardware for particle-size reduction, and their performance directly governs downstream productivity and operating costs. Ongoing industrial progress is placing ever-stricter demands on crusher efficiency, reliability, and energy consumption. The eccentric roll crusher (ERC)—a novel primary crushing machine—offers marked advantages over conventional jaw, gyratory and cone crushers, including superior efficiency, a more compact overall envelope, lower specific energy consumption, and superior dynamic balance, thereby constituting a subject of exceptional research value. In this study, the influences of key operational parameters—eccentric shaft rotational speed, closed-side setting (CSS), and eccentric throw—on throughput, power draw, and roll reversal velocity are systematically investigated by means of coupled discrete-element method (DEM) and multi-body dynamics (MBD) simulations, complemented by rigorous kinematic modelling and experimental validation. Subsequently, a multi-objective optimization framework integrating genetic algorithms and response-surface methodology is employed to achieve an optimized design. The outcomes establish a sound theoretical and experimental foundation for the intelligent design of eccentric roll crushers within the context of the dual-carbon era.

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Over the past decades, the growing demands for disease management have spurred advancements in wearable electronics, enabling more comprehensive and precise monitoring of vital signs. The integration of these devices with artificial intelligence has not only enhanced detection efficiency and user interaction but also deepened research in this field. This article provides a comprehensive review of the up-to-date development of wearable electronics while attach importance to its relation with health care. The application of wearable electronics in monitoring both human’s and animal’s condition are also discussed. The findings reveal that wearable devices can not only bring revolutionary innovations to the medical and health field, but also promote the coordinated development of industries such as AI and wireless communication. It also demonstrates that while future challenges will exist, it is still promising for wearable electronics to change humanity’s life positively with the assistance of policies, technical breakthrough and market requirement. And the conclusion is that wearable electronics will develop further than health monitoring devices to be a comprehensive platform generating human health, animal and environmental protections.

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Waste heat recovery is a method of minimizing energy usage and environmental pollution by using various methods to recover energy lost and unused in industrial production. As one of China's major metallurgical industries, the pollution and resource waste generated by the steel industry make it necessary to improve the efficiency of waste heat recovery. In this dissertation, the difficulties currently encountered by waste heat recovery can be summarized from two aspects: the difficulty in obtaining patent licenses and the continued lack of increase in low-temperature waste heat recovery efficiency. Among them, the difficulty in obtaining patents not only increases the cost of steel manufacturers economically, but also makes it difficult to carry out research to improve the efficiency of waste heat recovery smoothly, because the research process may involve patented technologies. As the cooling medium used in the organic Rankine cycle, the performance in safeguarding the environment and energy-saving effect of R236ea coincide with the current difficulties encountered in China in the utilization of waste heat recovery. The achievement of the Kalina cycle in recovering low-grade waste heat makes it a possible alternative to the organic Rankine cycle. However, the problem of difficulty in obtaining patent licenses is difficult to solve. In the subsequent promotion process, the current imbalance in the scale advancement of the steel and metallurgical industry in different regions and the scale gap of Chinese steel mills may lead to differences in the applicable waste heat recovery methods. In the future, the conclusions of this dissertation need to be tested to confirm the feasibility of alleviating China's rapid energy consumption.

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