RAMAN SPECTRAL PATTERN RECOGNITION OF BREAST CANCER: A MACHINE LEARNING STRATEGY BASED ON FEATURE FUSION AND ADAPTIVE HYPERPARAMETER OPTIMIZATION

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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Comparative proteomics in captive giant pandas to identify proteins involved in age-related cataract formation

Abstract Approximately 20% of aged captive giant pandas (Ailuropoda melanoleuca) have cataracts that impair their quality of life.To identify potential biomarkers of cataract formation, we carried out a quantitative proteomics analysis of 10 giant pandas to find proteins differing in abundance between healthy and cataract-bearing animals.We identif

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Justification of the parameter that determines the ability of turbochargers of agricultural machinery engines to function

As a result of the analysis of statistics on the main failures of the turbocharger of tractor engines in agricultural production, it can be concluded that it is the condition of its bearing node, in the first place, determines the performance of the entire turbocharger.This ultimately affects the duration of the turbocharger rotor after the engine

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