SLITRANET: AN EEG-BASED AUTOMATED DIAGNOSIS FRAMEWORK FOR MAJOR DEPRESSIVE DISORDER MONITORING USING A NOVEL LGCN AND TRANSFORMER-BASED HYBRID DEEP LEARNING APPROACH

Major depressive disorder (MDD) is a mental ailment marked by a loss of interest in activities, persistent depression, and hopelessness.MDD has been on the rise in society in recent decades for varied reasons and has spurred suicidal tendencies among individuals.Early detection, continuous monitoring, and effective treatment are crucial for its imp

Background: Atherosclerosis and its sequels, such as coronary artery disease and cerebrovascular stroke, still represent global health burdens.The pathogenesis of atherosclerosis consists of growing calcified plaques in the arterial wall and is accompanied by inflammatory processes, which are not entirely understood.This study aims to evaluate the

South Florida has been among the top foreclosure markets in the United States, but little research has explored whether this market presents different dynamics compared to other metropolitan areas.This research chooses Broward County to explore whether socioeconomic characteristics and certain public policy instruments relate to subprime lending an

In considering projections that flooding will increase in the future years Transport Chairs due to factors such as climate change and urbanization, the need for dependable and accurate water sensors systems is greater than ever.In this study, the performance of four different water level sensors, including ultrasonic, infrared (IR), and pressure se

Kristen M Whitney1, Chérie M Ditre21Philadelphia College of Osteopathic Medicine, Philadelphia, PA, USA; 2Skin Enhancement Center and Cosmetic Dermatology, Department of Dermatology, University of Pennsylvania School of Medicine, Philadelphia, PA, USADate of preparation: 30th November 2010Conflicts of interest: None declaredClinical ques