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

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

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Arbuscular mycorrhizal symbioses alleviating salt stress in maize is associated with a decline in root-to-leaf gradient of Na+/K+ ratio

Abstract Background Inoculation of arbuscular mycorrhizal (AM) fungi has the potential to alleviate salt stress in host plants through the mitigation of ionic imbalance.However, inoculation effects vary, and the underlying mechanisms remain unclear.Two Outdoor Ceiling Light maize genotypes (JD52, salt-tolerant with large root system, and FSY1, salt

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Integration of genomic analysis and transcript expression of ABCC8 and KCNJ11 in focal form of congenital hyperinsulinism

BackgroundThe focal form of CHI is caused by an autosomal recessive pathogenic variant affecting the paternal homologue of genes ABCC8 or KCNJ11 and a second somatic event specifically occurring in the affected islet of Langerhans.The approach of this study was to integrate the genetic changes occurring in pancreatic focal lesions of CHI at the gen

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