A CHROMOSOME-LEVEL GENOME ASSEMBLY FOR THE ASTAXANTHIN-PRODUCING MICROALGA HAEMATOCOCCUS PLUVIALIS


A preliminary investigation of circulating extracellular vesicles and biomarker discovery associated with treatment response in head and neck squamous cell carcinoma

Abstract Background There is a paucity of plasma-based biomarkers that prospectively segregate the outcome of patients with head and neck squamous-cell carcinoma (HNSCC) treated with chemoradiation therapy (CRT).Plasma extracellular vesicles (EVs) might be an alternative source for discovery of new specific markers present in patients with HNSCC, w

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Information Architects: Using Community-Engaged and Qualitative Methods to Design a Technology-Based Nutrition and Cancer Risk Intervention for Rural Adults

Background Nearly half of all cancer deaths are preventable through modification or avoidance of key risk factors.As such, there is a growing urgency to identify effective, low-resource, and scalable technologies that support clinical care and patient self-management of health behaviors.Purpose Informed by theories of cognitive load and user-center

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Enhancing smart grid load forecasting: An attention-based deep learning model integrated with federated learning and XAI for security and interpretability

Smart grid is a transformative advancement that modernized the traditional power system for effective electricity management, and involves optimized energy distribution by load forecasting.Precise load forecasting provides the best utilization of energy resources and increases sustainability.Dynamic changes of several connected factors, such getpur

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