The phrase "address a paradigm" is correct and usable in written English.
It can be used when discussing the need to confront or deal with a particular model or framework of thinking in a specific context.
Example: "In her research, she aims to address a paradigm that has long been accepted in the field of psychology."
Alternatives: "tackle a paradigm" or "confront a paradigm".
Here, we are specifically addressing a thermodynamic paradigm that explains how evolutionary complexity can develop in the face of entropy, without suggesting that the development of complexity is inevitable.
Clinical outcomes were considered within the context of the spectrum of clinical trials (Professor Cameron) [ 3], and the concluding presentation addressed a novel paradigm for future research (Professor Howell) [ 4].
In addressing these threats, a paradigm shift may be occurring in the evolution of the role of scientists in society from simply observers of the natural world with tenuous linkages to resource managers and the public, to partners in modern society's quest for answers to pressing questions related to sustainable use and conservation of coral reef resources.
Future research should address this question using a paradigm that can fully (e.g., temporally) disambiguate Pavlovian fear responses from instrumental responding.
In particular, this network was addressed in sepsis, as a paradigm of a pathological condition determining dynamic macrophage reprogramming.
Component aware [43, 47, 72, 84, 85, 88, 102] was a paradigm to address reusability, separation of concerns (i.e., separation of functional from non-functional concerns) and ease of construction.10 Component-based systems are built by putting components together to form new software systems.
Knowledge transfer and exchange (KTE) has emerged as a paradigm to address the challenges and start closing the 'know-do' gap.
Knowledge transfer and exchange (KTE) has emerged as a paradigm to address many of the challenges and start closing the 'know-do' gap [ 1].
This chapter presents a paradigm of addressing large-scale optimization problems using customized tools.
In this paper, a semiparametric modeling approach is introduced as a paradigm for addressing model error arising from unresolved physical phenomena.
