Generating large omics datasets has become routine for gaining insights into cellular processes, yet deciphering these datasets to determine metabolic states remains challenging. Kinetic models can help integrate omics data by explicitly linking metabolite concentrations, metabolic fluxes and enzyme levels. Nevertheless, determining the kinetic parameters that underlie cellular physiology poses notable obstacles to the widespread use of these mathematical representations of metabolism.
View Article and Find Full Text PDFUsing proton-proton collision data corresponding to an integrated luminosity of collected by the CMS experiment at , the decay is observed for the first time, with a statistical significance exceeding 5 standard deviations. The relative branching fraction, with respect to the decay, is measured to be , where the first uncertainty is statistical, the second is systematic, and the third is related to the uncertainties in and .
View Article and Find Full Text PDFBackground: Public policy measures aimed at regulating tobacco use should consider the net gains for the nation, as the tobacco sector contributes to employment and tax revenue while also imposing substantial economic burden on the country. This study investigates the economy-wide impact of reducing tobacco consumption in India through the implementation of fiscal measures.
Methods: The study uses a computable general equilibrium model based on the Global Trade Analysis Project model and database and augments the same with several country-specific information on tobacco products, to examine the macroeconomic impact of a targeted reduction in the consumption of bidis, cigarettes and smokeless tobacco by 10% by the year 2026 through the adoption of fiscal measures.