Mineralized indicator minerals are an important geological and mineral exploration indicator.Rapid extraction of mineralized indicator minerals from hyperspectral remote sensing images using ensemble learning model has important geological significance for mineral resources exploration.In this study, two mineralized indicator minerals, limonite and
Modeling Structural Equations for Predicting Death Anxiety Associated with COVID-19 Based on Mediating Roles of Emotion Regulation and Meaning in Life
Background and purpose: Life and death became significant issues with the outbreak of the COVID-19 and its aftermath.Previous studies have shown that having meaning in life and the ability to regulate emotion can play effective roles in coping with death anxiety.The present study investigated the relationship between COVID-19 anxiety and death anxi
The Right to Petition as an Example of Parent Participation in Developing Educational Policy
This paper aims to present the right to submit a petition as an option of direct parent participation in the process of developing educational policy.The issues addressed are in line with reconstruction of the knowledge on the possibilities of involving citizens in developing educational policy Bedspread as well as show one of the forms of activiti
Unraveling the airline value creation network with fuzzy cognitive maps
The creation of value is a critical factor that determines the competitive capacity of firms and their ability to survive.Notwithstanding its importance, value creation usually becomes a fuzzy concept that is difficult to grasp, especially when increasingly complex elements of reality are incorporated into its analysis.Building on the narrative of
Unsupervised Image Segmentation on 2D Echocardiogram
Echocardiography is a widely used, non-invasive imaging technique for diagnosing and monitoring heart conditions.However, accurate Fat Quarter Bundles segmentation of cardiac structures, particularly the left ventricle, remains a complex task due to the inherent variability and noise in echocardiographic images.Current supervised models have achiev