Physical laws and the numerical values of fundamental constants

1980 ◽  
Vol 131 (6) ◽  
pp. 239 ◽  
Author(s):  
I.L. Rozental'
Keyword(s):  
Fundamental Constants ◽  
Physical Laws

scholarly journals SI-2019 and prospects for improving the accuracy of electrical measurements

2021 ◽  
pp. 35-39
Author(s):  
Iurii Pavlenko ◽  
Alexander Kolbasin ◽  
Olena Vаsileva
Keyword(s):  
International System ◽  
Fundamental Constants ◽  
Electrical Measurements ◽  
International System Of Units ◽  
Si Units ◽  
Accuracy Of Measurements ◽  
System Of Units ◽  
Measurement Units ◽  
Physical Laws ◽  
Base Units

Increasing requirements for the accuracy of measurements have led to the need to revise the existing International System of Units (SI). The important element of the SI-2019 reform is “the establishment of the SI base units through seven defining constants, the numerical values of which are fixed”. The approach to the establishment of the measurement units has fundamentally changed. If earlier a definition was given of how the unit is realized, now only the exact numerical values of the fundamental constants are fixed, and their values are expressed in the corresponding SI units. Measurement units are determined on the basis of known physical laws, which include certain fundamental constants. The article analyzes the changes in SI-2019 related to electrical measurements, and also discusses the prospects for the development of accurate electrical measurements.

The fundamental constants of physics

1991 ◽  
Vol 161 (9) ◽  
pp. 177-194 ◽  
Author(s):  
Lev B. Okun
Keyword(s):  
Fundamental Constants

Causal determinism and a totally global fatalism from the third-person perspective

2020 ◽  
Author(s):  
Xiaoyang Yu
Keyword(s):  
Human Brain ◽  
Human Language ◽  
Causal Determinism ◽  
The Third ◽  
Person Perspective ◽  
Neural Substrate ◽  
Third Person ◽  
Third Person Perspective ◽  
Physical Laws ◽  
The Third Person

The human brain and the human language are precisely constructed together by evolution/genes, so that in the objective world, a human brain can tell a story to another brain in human language which describes an imagined multiplayer game; in this story, one player of the game represents the human brain itself. It’s possible that the human kind doesn’t really have a subjective world (doesn’t really have conscious experience). An individual has no control even over her choices. Her choices are controlled by the neural substrate. The neural substrate is controlled by the physical laws. So, her choices are controlled by the physical laws. So, she is powerless to do anything other than what she actually does. This is the view of fatalism. Specifically, this is the view of a totally global fatalism, where people have no control even over their choices, from the third-person perspective. And I just argued for fatalism by appeal to causal determinism. Psychologically, a third-person perspective and a new, dedicated personality state are required to bear the totally global fatalism, to avoid severe cognitive dissonance with our default first-person perspective and our original personality state.

Reversible Computing: An Introduction

2019 ◽  
Author(s):  
Federica Eftimiadi ◽  
Enrico Pugni Trimigliozzi
Keyword(s):  
Laws Of Nature ◽  
Physical Property ◽  
Computing Systems ◽  
Reversible Computing ◽  
Physical Laws ◽  
Structural Aspects ◽  
Computing Models

Reversible computing is a paradigm where computing models are defined so that they reflect physical reversibility, one of the fundamental microscopic physical property of Nature. Also, it is one of the basic microscopic physical laws of nature. Reversible computing refers tothe computation that could always be reversed to recover its earlier state. It is based on reversible physics, which implies that we can never truly erase information in a computer. Reversible computing is very difficult and its engineering hurdles are enormous. This paper provides a brief introduction to reversible computing. With these constraints, one can still satisfactorily deal with both functional and structural aspects of computing processes; at the same time, one attains a closer correspondence between the behavior of abstract computing systems and the microscopic physical laws (which are presumed to be strictly reversible) that underlay any implementation of such systems Available online at https://int-scientific-journals.com

Consideration of the temperature factor of atmospheric air when determining standard consumption of fuel and energy resources for train traction

2018 ◽  
Vol 77 (6) ◽  
pp. 375-381
Author(s):  
K. M. Popov
Keyword(s):  
Statistical Processing ◽  
Specific Consumption ◽  
Energy Resources ◽  
Effect Of Temperature ◽  
Influence Coefficient ◽  
Specific Work ◽  
Specific Flow ◽  
Temperature Changes ◽  
Work Area ◽  
Physical Laws

Abstract. Influence of air temperature on the consumption of fuel and energy resources (FER) on train traction is due to a number of physical laws. The extent of this effect is specified in the Rules for Traction Settlement (RTS). At the same time, when rationing FER consumption for train traction, a specialized methodical base is used, which involves a different approach to accounting for the effect of temperature on FER consumption for train traction. At the same time in different documents of this base, the effects of low temperature on the absolute and specific consumption of fuel and energy resources on train traction are taken into account in a different way, which is due to the lack of consensus among specialists on the way this factor is taken into account. Specialists of JSC “VNIIZhT” carried out an analysis of a significant amount of driver’s routes data, results of which showed that the dependence of the specific flow rate on temperature, on the basis of which the corresponding influence coefficient is determined, needs to be periodically updated. In addition, when technically standardizing the consumption of fuel and energy resources (for the locomotive crew work site), the temperature effect coefficients need to be calculated for a specific work area and direction of motion on it, while using the average network coefficient values will lead to errors. When calculating additional flow of fuel and energy from the effect of temperature for electric multiple units (EMU), the equations of regression dependencies should be used, obtained by statistical processing of data on temperature changes and specific consumption of fuel and energy resources for EMU and determined for each series of EMU when working on a particular suburban area.

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