Raman spectral pattern recognition of breast cancer: A machine learning strategy based on feature fusion and adaptive hyperparameter optimization

Raman spectroscopy, as a kind of molecular vibration spectroscopy, provides abundant information for measuring components and molecular structure in the early detection and diagnosis of breast cancer.Currently, portable Raman spectrometers have simplified and made equipment application more affordable, albeit at the cost of sacrificing the signal-t

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An algorithm for doble difference joint hypocenter determination: application to the 2002 Molise (Central Italy) earthquake sequence

We have developed an original computer code for double difference hypocenter determination including an independent routine for the cross-correlation estimate of the time difference between two waveform segments, relative Halloween to different events recorded by the same stations.This computer code has been tested relocating a set of 26 events rec

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Empowering Digital Twin for Future Networks with Graph Neural Networks: Overview, Enabling Technologies, Challenges, and Opportunities

As the complexity and scale of modern networks continue to grow, the need for efficient, secure management, and optimization becomes increasingly vital.Digital twin (DT) technology has emerged as a promising approach to address these challenges by providing a virtual representation of the physical network, enabling analysis, diagnosis, emulation, a

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Efficacy of additional corticosteroids to multimodal cocktail periarticular injection in total knee arthroplasty: a meta-analysis of randomized controlled trials

Abstract Background As the ultimate method for the treatment of osteoarthritis, total knee arthroplasty (TKA) has been widely used in the clinic.Local injection of multimodal cocktails, including corticosteroids, is commonly used for pain management after TKA.This meta-analysis aims to systematically evaluate the effect of periarticular injection o

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