Origin of Quantum Mechanical Results and Life: A Clue from Quantum Biology

Although quantum mechanics can accurately predict the probability distribution of outcomes in an ensemble of identical systems, it cannot predict the result of an individual system. All the local and global hidden variable theories attempting to explain individual behavior have been proved invalid by experiments (violation of Bell’s inequality) and theory. As an alternative, Schrodinger and others have hypothesized existence of free will in every particle which causes randomness in individual results. However, these free will theories have failed to quantitatively explain the quantum mechanical results. In this paper, we take the clue from quantum biology to get the explanation of quantum mechanical distribution. Recently it was reported that mutations (which are quantum processes) in DNA of E. coli bacteria instead of being random were biased in a direction such that the chance of survival of the bacteria is increased. Extrapolating it, we assume that all the particles including inanimate fundamental particles have a will and that is biased to satisfy the collective goals of the ensemble. Using this postulate, we mathematically derive the correct spin probability distribution without using quantum mechanical formalism (operators and Born’s rule) and exactly reproduce the quantum mechanical spin correlation in entangled pairs. Using our concept, we also mathematically derive the form of quantum mechanical wave function of free particle which is conventionally a postulate of quantum mechanics. Thus, we prove that the origin of quantum mechanical results lies in the will (or consciousness) of the objects biased by the collective goal of ensemble or universe. This biasing by the group on individuals can be called as “coherence” which directly represents the extent of life present in the ensemble. So, we can say that life originates out of establishment of coherence in a group of inanimate particles

A simple proof of Born’s rule for statistical interpretation of quantum mechanics

The Born’s rule to interpret the square of wave function as the probability to get a specific value in measurement has been accepted as a postulate in foundations of quantum mechanics. Although there have been so many attempts at deriving this rule theoretically using different approaches such as frequency operator approach, many-world theory, Bayesian probability and envariance, literature shows that arguments in each of these methods are circular. In view of absence of a convincing theoretical proof, recently some researchers have carried out experiments to validate the rule up-to maximum possible accuracy using multi-order interference (Sinha et al, Science, 329, 418 [2010]). But, a convincing analytical proof of Born’s rule will make us understand the basic process responsible for exact square dependency of probability on wave function. In this paper, by generalizing the method of calculating probability in common experience into quantum mechanics, we prove the Born’s rule for statistical interpretation of wave function

A new approach in classical electrodynamics to protect principle of causality

In classical electrodynamics, electromagnetic effects are calculated from solution of wave equation formed by combination of four Maxwell’s equations. However, along with retarded solution, this wave equation admits advanced solution in which case the effect happens before the cause. So, to preserve causality in natural events, the retarded solution is intentionally chosen and the advance part is just ignored. But, an equation or method cannot be called fundamental if it admits a wrong result (that violates principle of causality) in addition to the correct result. Since it is the Maxwell’s form of equations that gives birth to this acausal advanced potential, we rewrite these equations in a different form using the recent theory of reaction at a distance (Biswaranjan Dikshit, Physics essays, 24(1), 4-9, 2011) so that the process of calculation does not generate any advanced effects. Thus, the long-standing causality problem in electrodynamics is solved

Reformulation of Dirac’s theory of electron to avoid negative energy or negative time solution

Dirac’s relativistic theory of electron generally results in two possible solutions, one with positive energy and other with negative energy. Although positive energy solutions accurately represented particles such as electrons, interpretation of negative energy solution became very much controversial in the last century. By assuming the vacuum to be completely filled with a sea of negative energy electrons, Dirac tried to avoid natural transition of electron from positive to negative energy state using Pauli’s exclusion principle. However, many scientists like Bohr objected to the idea of sea of electrons as it indicates infinite density of charge and electric field and consequently infinite energy. In addition, till date, there is no experimental evidence of a particle whose total energy (kinetic plus rest) is negative. In an alternative approach, Feynman, in quantum field theory, proposed that particles with negative energy are actually positive energy particles running backwards in time. This was mathematically consistent since quantum mechanical energy operator contains time in denominator and the negative sign of energy can be absorbed in it. However, concept of negative time is logically inconsistent since in this case, effect happens before the cause. To avoid above contradictions, in this paper, we try to reformulate the Dirac’s theory of electron so that neither energy needs to be negative nor the time is required to be negative. Still, in this new formulation, two different possible solutions exist for particles and antiparticles (electrons and positrons)

Environmental Value of Draught Animals: Saving of Fossil-fuel and Prevention of Greenhouse Gas Emission

Animal energy is a renewable and sustainable source of energy. It is renewable because the animals can be reproduced by breeding and rearing the required number of animals. It is sustainable because the animals derive their energy for work largely from agricultural by-products. In addition, there are other environmental contributions of the working animal stock — consider replacing it by agricultural machinery run on fossil-fuel. Animal energy saves natural resources, fossil fuel and prevents green house gases emission. The fossil-fuel equivalent of the animal energy used in the Indian agriculture has been found pretty large, as much as 19 million tonnes of diesel in 2003. If this much amount of fuel were to be burnt through combustion to run tractors in the absence of the working animal stock of over 60 million, it would have released about 6 million tonnes of carbon dioxide.Agricultural and Food Policy,

India’s Livestock Feed Demand: Estimates and Projections

The paper has estimated the feed consumption rates for different livestock species by age-group, sex, and function at the national level, and based on that the paper has generated demand for different types of feed by the year 2020. According to this study, by 2020 India would require a total 526 million tonnes (Mt) of dry matter, 855 Mt of green fodder, and 56 Mt of concentrate feed (comprising 27.4 Mt of cereals, 4.0 Mt of pulses, 20.6 Mt of oilseeds, oilcakes and meals, and 3.6 Mt of manufactured feed). In terms of nutrients, this translates into 738 Mt of dry matter, 379 Mt of total digestible nutrients and 32 Mt of digestible crude protein. The estimates of demand for different feeds will help the policymakers of the country in designing trade strategy to maximize benefits from livestock production.Agricultural and Food Policy,

Architecture of autonomous systems

Automation of Space Station functions and activities, particularly those involving robotic capabilities with interactive or supervisory human control, is a complex, multi-disciplinary systems design problem. A wide variety of applications using autonomous control can be found in the literature, but none of them seem to address the problem in general. All of them are designed with a specific application in mind. In this report, an abstract model is described which unifies the key concepts underlying the design of automated systems such as those studied by the aerospace contractors. The model has been kept as general as possible. The attempt is to capture all the key components of autonomous systems. With a little effort, it should be possible to map the functions of any specific autonomous system application to the model presented here

COMPARATIVE STUDY OF MONASCUS SANGUINEUS AND MONASCUS PURPUREUS AS POTENTIAL SOURCES FOR RED PIGMENT PRODUCTION

Monascus spp. namely Monascus sanguineus was isolated from pomegranate (Punica granatum). In this study, the isolated M. sanguineus was compared with M. purpureus MTCC410 procured from MTCC Chandigarh, India for optimising the red pigment yield. It was observed that both strains had produced maximum red pigment on the 16 th day of incubation (21.9 CVU/ml for M. sanguineus & 16.9 CVU/ml for M. purpureus). Both strains had shown 30°C as a favourable temperature for microbial growth and pigment production. The maximum pigmentation was observed at pH 6.5 (33.9 CVU/ml) for Monascus sanguineus whereas M. purpureus produced maximum pigment at pH 5.5(16.6 CVU/ml). Oryza spp. (local unpolished rice) was found as the best solid substrate for both the strains (M. sanguineus 6.5CVU/gds and M. purpureus 12.5CVU/gds). When substrates were supplemented with glucose, a multi-fold increase in the pigment yield was observed with M. sanguineus, whereas no positive impact of glucose was observed with M. purpureus. For variable N sources, M. sanguineus showed maximum pigment with 1 % peptone whereas M. purpureus showed similar results with substrate supplemented with 5 % yeast extract and MSG. Both strains had shown anti-bacterial activity against gram positive bacteria. Presence of citrinin was confirmed in both the strains by LC-MS