Understanding the evolution of polyandry (mating with multiple males) is a major issue in the study of animal breeding systems. We examined the adaptive significance of polyandry in Drosophila melanogaster, a species with well-documented costs of mating in which males generally cannot force copulations. We found no direct fitness advantages of polyandry. Females that mated with multiple males had no greater mean fitness and no different variance in fitness than females that mated repeatedly with the same male. Subcomponents of reproductive success, including fecundity, egg hatch rate, larval viability, and larval development time, also did not differ between polyandrous and monogamous females. Polyandry had no affect on progeny sex ratios, suggesting that polyandry does not function against costly sex-ratio distorters. We also found no evidence that polyandry functions to favor the paternity of males successful in precopulatory sexual selection. Experimentally controlled opportunities for precopulatory sexual selection had no effect on postcopulatory sperm precedence. Although these results were generally negative, they are supported with substantial statistical power and they help narrow the list of evolutionary explanations for polyandry in an important model species.
The recent developments of advanced models of unified physics have brought a deeper understanding of the fundamental nature of space, time, energy and matter. It is becoming apparent that information and geometry are primary to explaining these fundamental agents. In previous work, we demonstrated that the subatomic nucleon structure of the proton and recently the electron can be derived directly from a spacetime holographic structure of Planck-scale quantum vacuum oscillators fluctuating as spacetime pixels, demonstrating that spacetime at the very fine level of the Planck-scale is discrete with information quanta. We have found that when considering the granular spacetime information-energy structure from which we demonstrate matter and mass arises, the phenomena of self-organizing systems that leads to self-awareness and consciousness is integral to-and a natural emergent property of the feedback-dynamics of spacetime information itself. In this work, we describe how the integral function of the information feedback dynamics of spacetime, which engender mass-energy, is the missing element in understanding the evolution and development of self-organizing physical systems in general, and the emergence of the biological organism in particular. We evaluate non-classical quantum mechanical phenomena of physical and biological systems in light of the Maldacena-Susskind holographic correspondence theorem from which an equivalence of wormhole spacetime geometry and quantum entanglement is derived. We suggest that the Planck-scale micro-wormhole entanglement structure of multiple spacetime coordinates engender the macromolecular assemblies of living cells, and that this wormhole-entanglement may function in the memory and learning capacity of the biological entity. Furthermore, the recursive information encoding feedback processes of the quantum spacetime micro-wormhole network, which we refer to as spacememory, enables memory and learning in physical systems across all scales, resulting in universal evolutionary tendencies towards higher levels of ordering and complexity -foundational to evolution, sentience, and awareness.
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This manuscript is a concise review of a selection of key concepts concering _rythmic oscillations in proteins to human cognition_. All matter has an associated frequency, characterized by (derived from the equivalency , and ). In large organic macromolecules and biopolymers of the living system, there are multiple vibrational modes and oscillatory frequencies, the resonances of which can facilitate molecular recognition, coupling with field modes, electromagnetic and Van der Waals interactions. Via harmonic rhythmic oscillations and resonances nanosecond-scale intermolecular interactions are highly coordinated to orchestrate the myriad complex biochemistry pathways of the cell. Importantly, this field-like interaction is integral in information processing and exchange occurring at the molecular level that underlie cellular intelligence, network intelligence, and perhaps even sentience and consciousness. We will review here the _resonant recognition model _of Irena Cosic and the scale-invariant acoustic information code of a superfluid quantum space described by Meijer.
This manuscript is a concise review of a selection of key concepts concerning _rhythmic oscillations in proteins to human cognition_. All matter has an associated frequency, characterized by \(\nu\ =\ \frac{c}{\lambda}\), (where \(\lambda\) is the de Broglie wavelength for matter, \(\lambda\ =\ \frac{h}{p}=\ \frac{h}{\gamma m_0\upsilon}\)), or for the more realistic situation of an ensemble of atoms, the wave-packet dispersion relation \(\omega\ =\ \frac{\hbar k^2}{2m}\) (were \(\hbar\) is the reduced Planck constant, and _k _is the wave vector = \(2\pi p\) ). In large organic macromolecules and biopolymers of the living system, there are multiple vibrational modes and oscillatory frequencies, the resonances of which can facilitate molecular recognition, coupling with field modes, electromagnetic and Van der Waals interactions. Via harmonic rhythmic oscillations and resonances nanosecond-scale intermolecular interactions are highly coordinated to orchestrate the myriad complex biochemistry pathways of the cell. Importantly, this field-like interaction is integral in information processing and exchange occurring at the molecular level that underlie cellular intelligence, network intelligence, and perhaps even sentience and consciousness. We will review here the _resonant recognition model _of Irena Cosic and the scale-invariant acoustic information code of a superfluid quantum space described by Meijer.
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