A model-based decision support tool for building portfolios under uncertainty
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Tumor necrosis factor (TNF) is a pluripotent inflammatory cytokine that can induce both the pro-survival nuclear factor kappa B (NF-κB) pathway and the pro-apoptotic caspase pathway. Selectively activating only one of the two pathways remains challenging. We used TNF mutants with different receptor binding kinetics to study their effects on NF-κB signaling dynamics and cell apoptosis. A TNF mutant, R1antTNF, which binds to TNFR1 with increased association and dissociation rates, induced NF-κB signaling with shorter response time and first peak duration. The short nuclear stay of NF-κB led to biased activation of downstream genes, favoring the fast response ones. At the same time, R1antTNF retains pro-apoptotic activity. At 10 ng/ml, R1antTNF selectively activated the pro-apoptotic pathway rather than the pro-survival NF-κB pathway. Our study provides a new example for the emerging evidence that ligand-receptor binding kinetics play a key role in the selective activation of downstream pathways, which deserves more attention in future drug discovery and disease studies. - Highlights: • Receptor-TNF and mutant binding kinetics changes lead to functional selectivity. • R1antTNF is a fast associating and fast dissociating TNF mutant. • R1antTNF produces shortened nuclear duration of NF-κB. • R1antTNF induces biased gene expression of early-response genes. • R1antTNF selectively activates apoptosis at low concentration.
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Microgrid resource sizing problems typically include the analysis of a combination of value streams such as peak shaving, load shifting, or load scheduling, which support the economic feasibility of the microgrid deployment. However, microgrid benefits can go beyond these, and the ability to provide ancillary grid services such as frequency regulation or spinning and non-spinning reserves is well known, despite typically not being considered in resource sizing problems. This paper proposes the expansion of the Distributed Energy Resources Customer Adoption Model (DER-CAM), a state-of-the-art microgrid resource sizing model, to include revenue streams resulting from the participation in ancillary service markets. Results suggest that participation in such markets may not only influence the optimum resource sizing, but also the operational dispatch, with results being strongly influenced by the exact market requirements and clearing prices.
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