Fractal Patterns in Polymer Electrolyte Films: Computational Simulation Using Fractal Growth Parameters| Chapter 7 | Science and Technology: Recent Updates and Future Prospects Vol. 12

Polymer electrolyte films exhibit fractal patterns, which have been studied through simulations. This study integrates the Diffusion-Limited Aggregation (DLA) model with Brownian motion theory to simulate fractal patterns in these films. The simulations apply fractal growth parameters, demonstrating growth rules and essential model properties. Using the Matlab platform, computer simulations were conducted by adjusting parameters such as sticking coefficients, number of particles, and lattice sites. Modifying these parameters resulted in noticeable variations in the simulation outcomes. Fractal dimensions (D) of the patterns were calculated using the box-counting method, both from experimental observations and simulations. The study also discusses the influence of different growth parameters on these fractal dimensions.

 

Author (s) Details

Shahizat Amir

Institute of Mathematical Science, Faculty of Science, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.

 

Mariah Binti Sabar
Institute of Mathematical Science, Faculty of Science, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.

 

Mohd Zahurin Bin Mohamed Kamali
Institute of Mathematical Science, Faculty of Science, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.

 

Ahmad Zaki Bin Mohamad Amin
Centre for Foundation Studies in Science, Universiti Malaya, 50603 Kuala Lumpur, Malaysia.

 

Please see the book here:- https://doi.org/10.9734/bpi/strufp/v12/1890

Electrodynamic Coherence as a Physical Basis for Emergence of Perception, Semantics, and Adaptation in Living Systems | Chapter 11 | Cutting Edge Research in Biology Vol. 7

 This work aims to provide a theoretical approach for a truly consistent description of living phase of matter, able to tackle both reducible, microscopic issues (such as biochemistry and biophysical processes) and analogical aspects like memory, adaptation, semantics, behaviour. Despite the successes earned in cataloguing and finding the role of the most of molecular components in living matter, the “biochemical and molecular perspective”, popular in biology, medicine, and genetics, is unable to give account for crucial topics as the faculty of living systems to “feel”, to “perceive” what a given stimulus implies (means, indeed) for their survival. Condensed matter physics too, if bounded to a local, short-range, and perturbative approach, fails dramatically. This is also due to the role commonly assigned to water – actually the main constituent of living matter – deemed for long time to be merely chemical (as “solvent” or a reactant/product). Nonetheless, today many evidences show how living matter can be right conceived as a super-structured coherent water-based matrix, suggesting that the characterization of bio(electro)chemical and physical processes undertaken at molecular level in living matter, would let us unable to answer a question like this: what allows an amoeba, moreover without any neurons, to “know” to get closer to a nutrient or escape away from a toxin? I propose that to pursue such a fundamental inquiry it’s necessary an essentially relational approach, that is: to consider the living being at its grounding as the outcome of a physical history of relationships where symmetry-breakings, dissipation and coherence yield the emergence of the living state of matter, conceivable only as a time-dependent open process, and not as a portraited “body”. The effective tools to build up such an approach may be retrieved in far-form-equilibrium thermodynamics (TD), symmetry-breakings and gauge-fields theory, science of complexity, all the above within the framework of an advanced Quantum Field Theory.

Indeed, within a field-view of matter, and of water especially, as it has been developed by a Quantum Electrodynamic (QED) description of condensed matter, it’s possible to give account for a physical basis too such an epistemologically elusive, though crucial, feature of living systems (i.e.: perception and meaning). The emerging landscape allows some important meditations about adaptation, evolution, ecodynamics, and about different conceptions of complexity and “information” in living realm. Furthermore, some neuroscientific themes like consciousness, qualia and their links to artificial intelligence could be supplied with due insights.

Author(s) Details:

Paolo Renati,
Department of Physics and Astronomy, University of Catania, Via Santa Sofia 64, 95123, Catania, Italy.

Please see the link here: https://stm.bookpi.org/CERB-V7/article/view/10517

The Statistical Physics Concepts of Microbes | Chapter 10 | New Frontiers in Physical Science Research Vol. 3

 Microbe attitude can be characterized utilizing the framework of non-evenness statistical mechanics because intermittent activity is dependent on encircling dynamics, which are a function of interplays with the surroundings. Microbial motion is typically thought expected Brownian, however when perturbations in the environment change the fluctuations in the randomness of motion, the approximate situation resolves to the instance of Multi-Fractal Brownian motion. Bacterial cells dwell in an surroundings with a low Reynolds number, that makes inertia in their motion inconsequential. The use of the Fokker-Planck and Lotka-Volterra expressions yields two together qualitative and quantitative judgments. In this chapter, we have taken highest in rank possible measures to define a difficult biological order using a physicsbased methodology.

Author(s) Details:

Preet Sharma,
Non-Linear Sciences Research Group, Department of Chemistry and Physics, Midwestern State University, Texas, USA.

Please see the link here: https://stm.bookpi.org/NFPSR-V3/article/view/8596

Determination of Bone Quality on Panoramic Radiograph in Osteoporosis Research by Fractal Dimension | Chapter 4 | Novel Research Aspects in Mathematical and Computer Science Vol. 8

 The purpose of this chapter is to establish a link between the forearm bone mass density (BMD) as determined by DXA and various quality analysis variables of the trabecular pattern in digital panoramic radiographies. 68 people were studied using dual energy X-ray absorptiometry (DXA), of which 9 were men and 59 were women (19-73 years old). The fractal dimension (FD), connectivity (C), and overall number of "bright" pixels were used to assess the trabecular bone morphology in the panoramic radiography (ET). To identify those most at risk for osteoporosis, the bone mineral density of the forearm is measured during the DXA test. The statistical relationship between DXA tests and the ability of FD, C, and ET dental radiographs to identify individuals at risk for osteoporosis was investigated. The subjects were, on average, 43.85 years old. In analysing the trabecular pattern, a 5% level significant association between the FD, ET, and C variables was found (Pearson correlation test). The results of correlation tests showed no connection between DF and BMD. In order to discover changes in the trabecular pattern, the study identified correlations between the variables. It should be taken into account that analysing the bone or trabecular alveolar process is not associated to BMD with FD when, for example, a diagnostic study of pre-implant bone quality is necessary.

Author(s) Details:

Plauto Christopher Aranha Watanabe,
Department of Stomatology, Public Oral Health, and Forensic Dentistry, Ribeirão Preto Dental School, University of São Paulo, Cafe Avenue, Zip Code: 14040-904, Ribeirão Preto, SP, Brazil.

Fabio Santos Bottacin,
Department of Stomatology, Public Oral Health, and Forensic Dentistry, Ribeirão Preto Dental School, University of São Paulo, Cafe Avenue, Zip Code: 14040-904, Ribeirão Preto, SP, Brazil.

Marcelo Rodrigues Azenha,
Department of Stomatology, Public Oral Health, and Forensic Dentistry, Ribeirão Preto Dental School, University of São Paulo, Cafe Avenue, Zip Code: 14040-904, Ribeirão Preto, SP, Brazil.

Giovani Antonio Rodrigues,
Department of Stomatology, School of Dentistry, University of São Paulo, 2227 Lineu Prestes Avenue, Zip Code: 05508-000, São Paulo, SP, Brazil.

Please see the link here: https://stm.bookpi.org/NRAMCS-V8/article/view/8358

Developing Fractals Using Iterated Function Systems: Advanced Study | Chapter 1 | Emerging Trends in Engineering Research and Technology Vol. 2

The geometric modeling of fractal objects is a difficult process. An important class of complex objects in nature is trees, plants, clouds, mountains, etc. These objects cannot be satisfactorily described or acceptable in quality or quantity using conventional geometry. Diverse techniques are at present being investigated for modeling these complex objects. The development of a new approach to computing fractals is being taken up by us, known as Iterated Function Systems. Any set of linear maps (affine transformations) and an associated set of probabilities determines an Iterated Function System (IFS). IFS description forms, through a set of simple geometric transformations, a basic set of tools for interactive image construction. This paper presents the role of IFS in geometric modeling of fractal objects.

Author (s) Details

Dr. Bulusu Rama
Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, India.

Jibitesh Mishra
Department of Computer Science and Applications, College of Engineering and Technology, Biju Patnaik University of Technology (BPUT), Bhubaneswar, India.

View Book: - http://bp.bookpi.org/index.php/bpi/catalog/book/170