2 research outputs found
Carnap Sentences and the Newman Problem
In this paper I discuss the Newman problem in the context of
contemporary epistemic structural realism (ESR). I formulate Newman’s objection
in terms that apply to today’s ESR and then evaluate a defence of ESR based on
Carnap’s use of Ramsey sentences and Hilbert’s ε-operator. I show that this
defence improves the situation by allowing a formal stipulation of non-structural
constraints. However, it fails short of achieving object individuation in the context
of satisfying the Ramsified form of a theory. Thus, while limiting the scope of
Newman’s argument, Carnap sentences do not fully solve the problem
Kcs1 and Vip1: The Key Enzymes behind Inositol Pyrophosphate Signaling in <i>Saccharomyces cerevisiae</i>
The inositol pyrophosphate pathway, a complex cell signaling network, plays a pivotal role in orchestrating vital cellular processes in the budding yeast, where it regulates cell cycle progression, growth, endocytosis, exocytosis, apoptosis, telomere elongation, ribosome biogenesis, and stress responses. This pathway has gained significant attention in pharmacology and medicine due to its role in generating inositol pyrophosphates, which serve as crucial signaling molecules not only in yeast, but also in higher eukaryotes. As targets for therapeutic development, genetic modifications within this pathway hold promise for disease treatment strategies, offering practical applications in biotechnology. The model organism Saccharomyces cerevisiae, renowned for its genetic tractability, has been instrumental in various studies related to the inositol pyrophosphate pathway. This review is focused on the Kcs1 and Vip1, the two enzymes involved in the biosynthesis of inositol pyrophosphate in S. cerevisiae, highlighting their roles in various cell processes, and providing an up-to-date overview of their relationship with phosphate homeostasis. Moreover, the review underscores the potential applications of these findings in the realms of medicine and biotechnology, highlighting the profound implications of comprehending this intricate signaling network