Emergence of Gloomy Eyelet inside DNA
Abstract
:1. Introduction
2. Materials and Methods
2.1. Natural and Vortex Frequencies of Cell
2.2. Left Ventricular Torsion
2.3. Pressure Drop
3. Main Models
3.1. Swinging Spring Model
3.2. Rankine Model and Acceleration Model
3.3. Poincare Model on WDH
- In Euclidean geometry, the lines remain at a constant distance from each other (meaning that a line drawn perpendicular to one line at any point will intersect the other line and the length of the line segment joining the points of intersection remains constant) and are known as parallels.
- In hyperbolic geometry, they “curve away” from each other, increasing in distance as one moves further from the points of intersection with the common perpendicular; these lines are often called ultra-parallels.
- In elliptic geometry, the lines “curve toward” each other and intersect.
3.4. Warp Drive Hydro (WDH) Model
- Since the trace are obtained in a finite amount of time and distance, this means that the “point at infinity” maybe is not so much at an infinite distance.
- Such pseudo-spheres generally (not always) have points at infinity which are due to the non-immersiblity of the Lobochevski plane into the 3D Euclidean space.
4. Gloomy Eyelet inside WDH Model
4.1. Beat Frequency on the Pressure Vessel
4.2. Gloomy Eyelet
5. Study of New Interactions
- The wireless systems revolution has generated a wave of innovative results that dramatically expand the availability of voice and data almost anywhere. While this change has significantly broadened the possibility for new and better wireless communication ends, it has proffered further considerations for antenna design concepts. The control of specific absorption rate (SAR) is a crucial factor that should be equally considered alongside traditional antenna design parameters. The absorption of electromagnetic energy (EM) emitted from the cellular phone has been considered in recent years. The specific absorption rate is a defined parameter for evaluating power deposition in human tissue. For mobile phone compliance, the SAR value must not exceed the exposure guidelines, 2 watts per kilogram (W/kg) [18]. Gloomy eyelet theory can influence the control of specific absorption rate (SAR).
- A narrative review of research literature has been studied to “map the landscape” of the mechanisms of the effect of sound vibration on humans, including the physiological, neurological, and biochemical. It begins by narrowing music to sound and sound to vibration. The focus is on low-frequency sound (up to 250 Hz) including infrasound (1–16 Hz). Types of applications are described and include whole-body vibration, vibroacoustics, and focal applications of vibration. The literature on mechanisms of response to vibration is categorized into hemodynamic, neurological, and musculoskeletal. Basic mechanisms of hemodynamic effects including the stimulation of endothelial cells and vibropercussion; neurological effects including protein kinases activation, nerve stimulation with a specific look at vibratory analgesia, and oscillatory coherence; musculoskeletal effects including muscle stretch reflex, bone cell progenitor fate, vibration effects on bone ossification and resorption; and anabolic effects on the spine and intervertebral discs [19]. Gloomy eyelet can improve the field of vibrational medicine.
- At the microscopic level, in the mammalian nervous system, conduction delays (latencies) along one axon vary widely, from less than 100 is to more than 100 ms. As in an electrical network, the latency is the ultimate parameter that determines the amount of data that can be transferred over a time period. Those latencies depend, obviously, on the axon length, but, counterintuitively, more on the axon diameter [20]. Now, there is a possibility that latencies can be dependent on gloomy eyelet.
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- Benjamin, A.; Zubajlo, R.E.; Dhyani, M.; Samir, A.E.; Thomenius, K.E.; Grajo, J.R.; Anthony, B.W. A Novel Approach to the Quantification of the Longitudinal Speed of sound and its potential for Tissue Characterization (Part-I). Ultrasound Med. Biol. 2018, 44, 2739–2748. [Google Scholar] [CrossRef] [PubMed]
- Zarandi, M.M.; Bokdar, A.; Stiharuz, I. Investigations on Natural Frequencies of Individual Spherical and Ellipsoidal Bakery Yeast Cells. In Proceedings of the COMSOL Conference 2010, Boston, MA, USA, 7–9 October 2010. [Google Scholar]
- Wienke, B.R.; O’Leary, T.R. RGBM Algorithm Overview: Concepts, Bases, Validation, Testing and References; American Diving and Marine; Los Alamos National Laboratory: Egg Harbor Township, NJ, USA; Santa Fe, NM, USA, 2004.
- Arora, D.; Behr, M.; Pasquali, M. Blood Damage Measures for Ventricular Assist Device Modeling; Rice University: Houston, TX, USA, 2003. [Google Scholar]
- Kolandavel, M.K.; Fruend, E.T.; Pederson, E.M.; Ringgaard, S.; Walker, P.G. A CFD Study of the Effects of Physiological Vessel Wall Motion on Oxygen Transport in Coronary Arteries. Available online: http://fluid.ippt.gov.pl/ictam04/text/sessions/docs/FM1/11851/FM1_11851.pdf (accessed on 17 November 2022).
- Petrov, G.A. Rotation of the Apparent Vibration Plane of a Swinging Spring at the 1:1:2 Resonance. Mech. Solids 2017, 52, 243–253. [Google Scholar] [CrossRef]
- Pokorny, P. Stability Condition for Vertical Oscillation of 3-dim Heavy Spring Elastic Pendulum. Regul. Chaotic Dyn. 2008, 13, 155–165. [Google Scholar] [CrossRef]
- Aarønes, T.E. Study of the Natural Frequencies of a Disc. Master’s Thesis, Norwegian University of Science and Technology, Trondheim, Norway, 2015. [Google Scholar]
- Mehdigholi, H. Forced Vibration of Rotating Discs And Interaction With Non-Rotating Structures. Ph.D. Thesis, Imperial College of Science, Technology and Medicine, University of London, London, UK, April 1991. [Google Scholar]
- Darzin, P.G.; Riely, N. The Navier-Stokes Equations: A Classification of Flows and Exact Solutions; Cambridge University Press: Cambridge, UK, 2006. [Google Scholar]
- Choi, J.-K.; Chahine, G.L. Non-spherical Bubble Behavior in Vortex Flow Fields. Comput. Mech. 2003, 32, 281–290. [Google Scholar] [CrossRef]
- Hsiao, C.T.; Chahine, G.L. Numerical Simulation of Bubble Dynamics in a Vortex Flow Using Navier Stokes Computation and Moving Chimera Grid Scheme. In Proceedings of the CAV 2001: Fourth International Symposium on Cavitation, Pasadena, CA, USA, 20–23 June 2001. [Google Scholar]
- Geneste, F.J. LENR: From Experiment to Theory. Airbus Group, Presented at the Conference that Was Hosted by Airbus in Toulouse. 2015. Available online: https://e-catworld.com/2015/10/17/lenr-from-experiment-to-theory-paper-by-jean-francois-geneste-airbus-group/ (accessed on 17 November 2022).
- Maiga, M.A.; Adama, M. Single Bubble Sonoluminescence of particles model. arXiv 2012, arXiv:1212.1083. [Google Scholar]
- Prevenslik, V.T. Flow Electrification by Cavity QED. Available online: http://www.esdjournal.com/techpapr/prevens/flow1.pdf (accessed on 17 November 2022).
- Prevenslik, T. A Unified Theory of Electrification in Natural Process. Available online: https://www.academia.edu/68612562/A_Unified_Theory_of_Electrification_in_Natural_Processes (accessed on 17 November 2022).
- Ridgely, T.C. On the Origin of Inertia. Available online: https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=587322c845d655f598470f51804c3f9d56caca39 (accessed on 17 November 2022).
- Karimian, R.; Ahmadi, S.; Ardakani, M.D.; Zaghloul, M. Human Body Specific Absorption Rate Reduction Employing a Compact Magneto-Dielectric AMC Structure for 5G Massive-MIMO Applications. Eng 2021, 2, 501–511. [Google Scholar] [CrossRef]
- Bartel, L.; Mosabbir, A. Possible Mechanisms for the Effects of Sound Vibration on Human Health. Healthcare 2021, 9, 597. [Google Scholar] [CrossRef] [PubMed]
- Le Bihan, D. On time and space in the brain: A relativistic pseudo-diffusion framework. Brain Multiphys. 2020, 1, 100016. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Sabatier, J.-M.; Amini, F. Emergence of Gloomy Eyelet inside DNA. Biophysica 2023, 3, 35-45. https://doi.org/10.3390/biophysica3010003
Sabatier J-M, Amini F. Emergence of Gloomy Eyelet inside DNA. Biophysica. 2023; 3(1):35-45. https://doi.org/10.3390/biophysica3010003
Chicago/Turabian StyleSabatier, Jean-Marc, and Farzan Amini. 2023. "Emergence of Gloomy Eyelet inside DNA" Biophysica 3, no. 1: 35-45. https://doi.org/10.3390/biophysica3010003
APA StyleSabatier, J.-M., & Amini, F. (2023). Emergence of Gloomy Eyelet inside DNA. Biophysica, 3(1), 35-45. https://doi.org/10.3390/biophysica3010003