Showing results for: "across regimes" (59 results)
Physical quantities and laws emerge from the geometry, coherence, and flow of relational fields. A central idea is relational closure: high-coherence domains form effectively closed regions where stable invariants can persist.
Many physical and computational systems exhibit a familiar behavior: ordered states gradually decay in the presence of noise. Examples appear across science:
Wave–Particle Duality as Regime Dependence A Structural Perspective from Relational Field Theory
What allows anything stable to exist at all? Before objects, laws, or equations can be described, something more basic must occur: something must persist long enough to be identified. This shifts the focus from what exists to the conditions under which anything can exist stably.
Few concepts in modern physics carry as much significance—or as much mystery—as the Planck scale. It is the regime where gravitational effects become comparable to quantum effects, suggesting that both General Relativity and Quantum Field Theory should contribute to our description of nature.
India’s space program, led by the Indian Space Research Organisation (ISRO), has evolved from modest experimental launches into a globally recognized scientific and technological enterprise.
In many areas of physics, the word “singularity” implies the breakdown of equations — an undefined point where the mathematics “fails” or where physical laws suddenly stop working. But this interpretation has always felt philosophically unsatisfying. Why should nature permit a point where its own rules dissolve?
Modern physics often assumes that the complexity we observe in the universe reflects an underlying complexity in its fundamental structure. Fields, particles, forces, and geometries are typically introduced as independent components, each carrying its own degrees of freedom.
We begin with things - particles, fields, forces - and then build laws and equations to explain how those things behave. This approach has been extraordinarily successful. It is how we arrived at quantum mechanics, general relativity, and the Standard Model.
In this study, I explore how cancer risk is distributed across the animal kingdom, emphasizing the role of life-history traits, reproductive strategies, and social behavior in shaping susceptibility to disease. Drawing on recent findings in comparative oncology, the article examines patterns that challenge traditional assumptions, such as the relationship between body size and cancer, and highlights evolutionary mechanisms that may confer resistance in certain species.
Relational Field Theory (RFT) has matured into a predictive framework with operational definitions, numerical demonstrations, and practical inference tools.
(DCTs) are redefining how pharmaceutical studies are designed, conducted, and analyzed by moving away from traditional site-centric models toward patient-centric, digitally enabled trial ecosystems.
What if one of the most powerful models for understanding the human brain were less than an inch long, transparent, and living in a small tank? Meet Danio rerio, the zebrafish.
The tumor microenvironment (TME) is a complex and dynamic ecosystem composed of malignant cells, immune infiltrates, stromal elements, and vascular components that collectively influence tumor initiation, progression, immune escape, and therapeutic response. Traditional bulk transcriptomic approaches obscure this complexity by averaging gene expression across heterogeneous cell populations.
Artificial Intelligence AI with it’s widespread use in various sectors has also taken a dive into healthcare by transforming clinical practice and improving patient care.
Environmental pollution in densely populated regions remains a persistent challenge, particularly where cultural, religious, and social practices intersect with fragile ecosystems. While industrial emissions and vehicular pollution have received substantial scholarly attention, the environmental impact of everyday ritual and community practices
Cells can be understood as highly coordinated systems in which DNA functions as a comprehensive but inert blueprint, requiring precise interpretation to become biologically active. Gene expression depends on regulatory proteins that orchestrate transcription across time and space.
Injury is an inherent risk of sport participation. Whether at elite or recreational level, athletes are exposed to physical loads that challenge tissue capacity and recovery.
Environmental endocrine disruptors (EEDs) are natural and synthetic chemicals that interfere with endocrine system function by altering hormone synthesis, transport, metabolism, and receptor binding.
With the potential of AI tools revolutionizing the world of healthcare, there are ethical risk factors that need to be looked at before their implementation.
