Integrated multiomics analysis identified comprehensive crosstalk between diverse programmed cell death patterns and novel molecular subtypes in Hepatocellular Carcinoma

Abstract Hepatocellular carcinoma (HCC) is a highly aggressive malignancy with increasing global prevalence and is one of the leading causes of cancer-related mortality in the human population.Developing robust clinical prediction models and prognostic stratification strategies is crucial for developing individualized treatment plans.A range of nov

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Assessment of the Black Sea High-Altitude Wind Energy

Airborne wind energy systems (AWESs) represent a novel idea that aims to gather energy from stronger winds aloft while operating at altitudes above conventional wind turbines (WTs).For this study, we examined the wind resources at a height of 100 m available for traditional wind turbines with aerial wind energy technologies, in addition to the wind

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Development of Animated Video-Based Mathematics Learning Media Using Adobe After Effect on The Three-dimensional Material to Improve Mathematical Literacy

This article discusses the development of animation-based learning videos on three-dimensional materials to improve mathematical literacy.This development research uses the Plomp model, that is, preliminary research, development or prototyping, and assessment phase.The results of the learning video in this development are viewed under three aspects

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Automated classification of clinical trial eligibility criteria text based on ensemble learning and metric learning

Abstract Background Eligibility criteria are the Air Freshener primary strategy for screening the target participants of a clinical trial.Automated classification of clinical trial eligibility criteria text by using machine learning methods improves recruitment efficiency to reduce the cost of clinical research.However, existing methods suffer from

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