The study of the phenolic compounds present in olive leaves (Olea europaea) is of great interest due to their health benefits.In this research, different machine learning algorithms such as RF, SVM, and ANN, with temperature, time, and volume as input navy drapery fabric variables, were developed to model the extract yield and the total phenolic co
PurposeThis study aims to explore the effectiveness of enhancing individual spatial cognitive abilities in alleviating the negative symptoms of visually induced motion sickness (VIMS).Additionally, it seeks to develop innovative intervention methods to improve spatial cognition and identify new treatment approaches for VIMS.MethodsThe study investi
Microinsurance is a term increasingly used to refer to insurance characterized by low premium and low caps or low coverage limits, sold as part of a typical risk-pooling and marketing arrangements, and designed to service low-income people and businesses not served by typical social or commercial insurance schemes.As a relatively new field, few stu
The primary etiology of CKD is a direct consequence of initial dysfunction and injury of the glomerulus, the main filtration system.Podocytes are terminally differentiated epithelial cells in the glomerulus, whose major function is the maintenance of this renal filtration barrier.Podocyte injury is implicated in many glomerular diseases including F
Accurately detecting the insect damage caused in plants might reduce losses in crop yields.Hyperspectral data is a well-accepted data source to attend this issue.However, due to their high dimensional, both robust and intelligent methods are required to extract information from these datasets.Therefore, we explore the processing of hyperspectral da