To address the problem of insufficient node feature recognition and shallow network layers in Chinese text classification, this paper proposes a Chinese text classification method called Dual Preprocessing Graph Infor...
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Augmented reality technology has been widely used in experimental education. Augmented reality provides virtual-real integration, real-Time interaction and three-dimensional immersion, which provides a new development...
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Since its inception, the CUDA programming model has been continuously evolving. Because the CUDA toolkit aims to consistently expose cutting-edge capabilities for general-purpose compute jobs to its users, the added f...
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Family technology use can create or amplify conflict in parents' relationships - we found four key factors that contribute to this issue. We conducted a probe and interview study with eight sets of parents, to exp...
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In realistic conversations, “responses” are closely related to persona and context. However, current personalized dialogue generation methods only focus on the consistency of the persona of responses and yet ignore ...
In realistic conversations, “responses” are closely related to persona and context. However, current personalized dialogue generation methods only focus on the consistency of the persona of responses and yet ignore context coherence, as may produce low-quality responses. To address the issue, we propose a novel model, named PCF (Persona and Context Fusion), which builds two decoders for understanding personality consistency and context coherence respectively on a common encoder-decoder architecture. In this model, an inter-layer attention fusion mechanism is designed for the two decoders to effectively fuse persona and context, and a decoupled way of training is conducted on an additional large-scale non-dialogue inference dataset to enhance the consistent understanding ability of the two decoders. Furthermore, considering that generating responses may be tedious, the ScaleGrad loss function is applied to enhance the diversity of responses. Experimental results on two publicly available datasets show that the dialogues generated by our PCF are significantly higher in quality than strong baselines.
Neural radiance field (NeRF), in particular its extension by instant neural graphics primitives, is a novel rendering method for view synthesis that uses real-world images to build photo-realistic immersive virtual sc...
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Budd-Chiari syndrome (BCS) is a series of clinical syndromes caused by obstruction of the hepatic vein and/or hepatic segment inferior vena cava,which can seriously damage the health of the body and lead to patient de...
Budd-Chiari syndrome (BCS) is a series of clinical syndromes caused by obstruction of the hepatic vein and/or hepatic segment inferior vena cava,which can seriously damage the health of the body and lead to patient death[1].Over recent years,with the improvement of diagnostic technology,especially the introduction of multidisciplinary intervention methods,more and more potential cases have been discovered and treated[2].However,conventional clinical diagnosis is usually based on traditional indicators[3],and diagnostic criteria are largely dependent on the results of statistical analyses,often ignoring the importance of the association between different factors[4],especially high-risk factors,and the disease[5].Effectively capturing the critical factors that contribute to disease occurrence is the challenge for improving the predictive performance of BCS.
Today's digital natives easily master new devices, but there is a greater need to provide them with a strong foundation of attitudes, skills and values to interpret the world around them. Moreover, in the context ...
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Young adults often encounter challenges in career exploration. Self-guided interventions, such as the letter-exchange exercise, where participants envision and adopt the perspective of their future selves by exchangin...
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—This paper introduces a novel approach for enabling real-time imitation of human head motion by a Nao robot, with a primary focus on elevating human-robot interactions. By using the robust capabilities of the MediaP...
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