MACHINE-LEARNING-BASED INVESTIGATION OF THE VARIABLES AFFECTING SUMMERTIME LIGHTNING OCCURRENCE OVER THE SOUTHERN GREAT PLAINS

Machine-learning-based investigation of the variables affecting summertime lightning occurrence over the Southern Great Plains

Lightning is affected by many factors, many of which are not routinely measured, well understood, or accounted for in physical models.Several commonly used machine learning (ML) models have been applied to analyze the relationship between Atmospheric Radiation Measurement (ARM) data and lightning data from the Earth Networks Total Lightning Network

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Exploring the impact of 3D printing technology on patient-specific prosthodontic rehabilitation: A comparative study

Introduction: The rapid advancement of 3D printing technology has opened new avenues for patient-specific prosthodontic rehabilitation.This study aimed to explore the impact of 3D printing technology on prosthodontic outcomes and patient satisfaction through a comparative analysis.Materials Vermont and Methods: A total of 100 patients requiring pro

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Antioxidant Therapies in Traumatic Brain Injury

Due to a multiplicity of causes provoking traumatic brain injury (TBI), TBI is a highly heterogeneous pathology, characterized by high mortality and disability rates.TBI is an acute neurodegenerative event, potentially and unpredictably evolving into sub-chronic and chronic neurodegenerative events, with transient or permanent neurologic, cognitive

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Modeling and determination of total heat exchange factor of regenerative reheating furnace based on instrumented slab trials

Regenerative heating furnace as a high-efficiency and energy-saving heating equipment is widely applied in iron and steel industry.Accurate knowledge of total heat exchange factor of regenerative heating furnace is of great significance to improve its on-line control performance.Therefore, determination of total heat exchange factor of regenerative

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