Editorial

Abstract

According to Taheri's theory, T-Consciousness is one of the three primary elements of the universe, apart from matter and energy. In this perspective, material particles are described as hardware, which, equipped with software programs that transfer specific information indices, can exhibit specific behaviors and characteristics. When the subject of study, which in these investigations are TLD discs, is affected by T-Consciousness Fields, their behavior changes relative to the control. These results provide evidence of variability in information indices as proposed by Taheri. For experimental and laboratory examination of new evidence of T-Consciousness Field Theory, after choosing the topic specific to the reaction between radiation and sensitive TLD dosimeter, and investigating the composite effects of T-Consciousness Fields 1, 2, and 3 on this reaction, several main objectives are pursued: The first objective is to obtain empirical and laboratory evidence of the distinction and difference between T-Consciousness Fields and energy, especially different types of radiation. The second is to study the effect of T-Consciousness Fields on the material and energetic components of the system under investigation. Using a sensitive system to record changes, we can examine the effect of T-Consciousness Fields on radiation as a significant component of the universe since its inception. Third, some studies that are impossible or challenging in other systems due to their complexity, and the presence of numerous uncontrollable variables, or lengthy observation periods should be considered and included in this study. For instance, investigating long-term changes while maintaining identical conditions between the sample and control, analyzing the memory of T-Consciousness Field effects, studying the effect of initial population differences in the type and intensity of response to T-Consciousness Fields (similar to biological studies with cellular and animal models where results analysis is complex), or examining the effect of different TCF Users in measurable empirical results.