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A vehicle detection algorithm is an indispensable component of intelligent traffic management and control systems, influencing the efficiency and functionality of the system. In this paper, we propose a lightweight improvement method for the YOLOv5 algorithm based on integrated perceptual attention, with few parameters and high detection accuracy. First, we propose a lightweight module IPA with a Transformer encoder based on integrated perceptual attention, which leads to a reduction in the number of parameters while capturing global dependencies for richer contextual information. Second, we propose a lightweight and efficient multiscale spatial channel reconstruction (MSCCR) module that does not increase parameter and computational complexity and facilitates representative feature learning. Finally, we incorporate the IPA module and the MSCCR module into the YOLOv5s backbone network to reduce model parameters and improve accuracy. The test results show that, compared with the original model, the model parameters decrease by about 9%, the average accuracy (mAP@50) increases by 3.1%, and the FLOPS does not increase. [ABSTRACT FROM AUTHOR]

The pursuit of higher recognition accuracy and speed with smaller model sizes has been a major research topic in the detection of surface defects in steel. In this paper, we propose an improved high-speed and high-precision Efficient Fusion Coordination network (EFC-YOLO) without increasing the model's size. Since modifications to enhance feature extraction in shallow networks tend to affect the speed of model inference, in order to simultaneously ensure the accuracy and speed of detection, we add the improved Fusion-Faster module to the backbone network of YOLOv7. Partial Convolution (PConv) serves as the basic operator of the module, which strengthens the feature-extraction ability of shallow networks while maintaining speed. Additionally, we incorporate the Shortcut Coordinate Attention (SCA) mechanism to better capture the location information dependency, considering both lightweight design and accuracy. The de-weighted Bi-directional Feature Pyramid Network (BiFPN) structure used in the neck part of the network improves the original Path Aggregation Network (PANet)-like structure by adding step branches and reducing computations, achieving better feature fusion. In the experiments conducted on the NEU-DET dataset, the final model achieved an 85.9% mAP and decreased the GFLOPs by 60%, effectively balancing the model's size with the accuracy and speed of detection. [ABSTRACT FROM AUTHOR]

With the popularity of ChatGPT, there has been increasing attention towards dialogue systems. Researchers are dedicated to designing a knowledgeable model that can engage in conversations like humans. Traditional seq2seq dialogue models often suffer from limited performance and the issue of generating safe responses. In recent years, large-scale pretrained language models have demonstrated their powerful capabilities across various domains. Many studies have leveraged these pretrained models for dialogue tasks to address concerns such as safe response generation. Pretrained models can enhance responses by carrying certain knowledge information after being pre-trained on large-scale data. However, when specific knowledge is required in a particular domain, the model may still generate bland or inappropriate responses, and the interpretability of such models is poor. Therefore, in this paper, we propose the KRP-DS model. We design a knowledge module that incorporates a knowledge graph as external knowledge in the dialogue system. The module utilizes contextual information for path reasoning and guides knowledge prediction. Finally, the predicted knowledge is used to enhance response generation. Experimental results show that our proposed model can effectively improve the quality and diversity of responses while having better interpretability, and outperforms baseline models in both automatic and human evaluations. [ABSTRACT FROM AUTHOR]

The tectonic setting of South China during the late Paleozoic is essential to understanding the geodynamics off the eastern margin of Pangea supercontinent due to its unique paleo‐position at the confluence of the Paleo‐Tethys and Panthalassic oceans. Limited late Paleozoic magmatic and matemorphic records in South China have hampered resolution of this tectonic setting. Here, we present integrated biostratigraphic, geochronological, and isotope geochemical data on the late Carboniferous siliciclastic rocks from southeast South China in order to decipher the tectonic evolution of the South China Block. The sandstones were predominantly sourced from the Wuyi Terrane via short‐distance transportation. Rapid exhumation of ca. 318 Ma plutonic rocks in the source region, evolution of source of magmatism, and continuous crustal thinning demonstrate that southeast South China underwent episodic lithospheric delamination triggered by thermal perturbation as a result of subduction of the paleo‐Pacific plate beneath the South China Block in the late Paleozoic. Plain Language Summary: The South China Block, composed of the Yangtze and Cathaysia blocks, lay off the eastern edge of Pangea supercontinent during the late Paleozoic, drifting in isolation near the paleoequator until eventually amalgamated with the North China Block in the Permian‐Triassic. Widespread carbonate platform sedimentation and the absence of significant contemporaneous magmatic, structural and metamorphic records are collectively interpreted to indicate a stable passive continent margin setting. Recently, abundant late Paleozoic detrital zircons have been reported from Permian‐Triassic siliciclastic rocks in southeast South China. Here we carried out an integrated biostratigraphic, detrital zircon geochronological and Hf isotope geochemical study on a late Carboniferous succession in South China. Our fusulinid biostratigraphy and ages of youngest detrital zircons suggest rapid exhumation of plutonic rocks of ca. 318.5 ± 6.8 Ma. Besides, the Cathaysia Block underwent a continuous thinning and two distinct tectono‐thermal events at 370 and 335 Ma. Hf isotopic data suggests a trend of lesser contribution of melts from younger crust for middle‐late Paleozoic magmatisms. We propose that the southeastern South China underwent episodic lithospheric delamination triggered by thermal perturbation as a result of subduction of the paleo‐Pacific plate beneath the South China Block in the late Paleozoic. Key Points: Granitoid rocks of ca. 318.5 Ma in source region were rapidly exposed in the late CarboniferousCathaysia Block underwent a continuous thinning with two distinct tectono‐thermal events at 370 and 335 Ma during the late PaleozoicThe southeastern South China underwent delamination triggered by subduction of the paleo‐Pacific plate during the late Paleozoic [ABSTRACT FROM AUTHOR]

A fusuline fauna is described from the base of the Heshan Formation in the Penglaitan Section, the GSSP for the base Lopingian Series. This fauna falls within the Clarkina guangyuanensis and Clarkina transcaucasica conodont zones, indicating an early Wuchiapingian age. A new genus, Laibinella, is established to include those species that are morphologically similar to but phylogenetically independent of Palaeofusulina. In total, three species from two genera can be recognized in the studied material: Laibinella tobensis (Zhang), Laibinella ellipsoidalis gen. et sp. nov., and Lantschichites minima (Chen). The Laibinella tobensis Zone is established for the early Wuchiapingian. Based on morphology and biostratigraphy, we infer the evolutionary lineages of Dunbarula–Laibinella in the early Wuchiapingian, and Dunbarula–Nanlingella in the late Wuchiapingian. [ABSTRACT FROM AUTHOR]