ENHANCING SMART GRID LOAD FORECASTING: AN ATTENTION-BASED DEEP LEARNING MODEL INTEGRATED WITH FEDERATED LEARNING AND XAI FOR SECURITY AND INTERPRETABILITY

Smart grid is a transformative advancement that modernized the traditional power system for effective electricity management, and involves optimized energy distribution by load forecasting.Precise load forecasting provides the best utilization of energy resources and increases sustainability.Dynamic changes of several connected factors, such as tem

Observational neuroimaging studies with children and adolescents may identify neurological anomalies and other clinically relevant findings.Planning for the management of this information involves ethical considerations that may influence informed consent, confidentiality, and communication with participants about assessment results.Biomedical ethi

BACKGROUND:Cryptosporidium is a leading cause of childhood diarrhea in low-resource settings, and has been repeatedly associated with impaired physical and cognitive development.In May 2013, an outbreak of diarrhea caused by Cryptosporidium hominis was identified in the Arctic region of Nunavik, SHILAJIT LIQUID Quebec.Human cryptosporidiosis transm

Integrating expression quantitative trait loci (eQTL) data with genome-wide association studies (GWAS) enables the discovery of pleiotropic gene regulatory variants that influence a wide range of traits and disease Kitchen Cart susceptibilities.However, a comprehensive understanding of the distribution of pleiotropic QTLs across the genome and thei

The CCL2-CCR2 axis is one of the major chemokine PRO OREGANO+BLACK CUMIN OIL signaling pathways that has received special attention because of its function in the development and progression of cardiovascular disease.Numerous investigations have been performed over the past decades to explore the function of the CCL2-CCR2 signaling axis in cardiova