Abstract:The optimal power generation from a solar power system for a detailed loading and irradiation scenario prevailing at a specific location in India has been determined. Three different types of loads reflecting economic and residential activity at the location has been considered. Daily global and diffuse solar irradiation data corresponding to two different seasons of the year have been used in the radiation model for the solar panel. The optimal operation is being determined through optimal choice of the tilt angle for the solar panel in order to collect the most concentrated solar irradiation. The mathematical technique used is a modified version of the conventional genetic algorithm (GA) termed Tuned Genetic Algorithm (TGA). TGA is robust against the above discussed variations by virtue of metaheuristic nature and is more reliable in avoiding a local minimum of the objective function than GA. The TGAevaluated total solar power generations for each loading system in India utilizing different values of tilt angles of solar panel have been compared. The solar power generation is found to exceed demand by the largest margins for all three loads in summer season during optimal power operation. For most economic operation of the solar power system during the summer season, a 60 degree angle of tilt was found to be optimal for residential loads, whereas 50 degree tilt angle was optimal for the other loads studied.

Lineage commitment and differentiation is driven by the concerted action of master transcriptional regulators at their target chromatin sites. Multiple efforts have characterized the key transcription factors (TFs) that determine the various hematopoietic lineages. However, the temporal interactions between individual TFs and their chromatin targets during differentiation and how these direct lineage commitment remains poorly understood. We performed dense, daily, temporal profiling of chromatin accessibility (DNase I-seq) and gene expression changes (total RNA-seq) along ex vivo human erythropoiesis to comprehensively define developmentally regulated DNase I Hypersensitive Sites (DHS) and transcripts. We link both distal DHS elements to their target gene promoters and individual TFs to their target DHS, revealing that the regulatory landscape is organized in distinct sequential regulatory modules that regulate lineage restriction and maturation. Finally, direct comparison of transcriptional dynamics (bulk and single-cell) and lineage potential between erythropoiesis and megakaryopoiesis illuminates the fine-scale temporal dynamics of these regulatory modules during lineage-resolution between these two fates. Collectively, these data provide novel insights into the global regulatory landscape during hematopoiesis.