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Any replacements are listed further down
[8] viXra:1112.0095 [pdf] submitted on 2011-12-31 15:35:48
Authors: Wen-sau Yim, Michael Harney
Comments: 14 Pages.
Cancer growth and decay can be modeled as a system of chaotic nonlinear differential equations. The system is based on a reaction-diffusion cancer growth model, expressed by a mathematical model that is simplified by Ivancevicet. al. This allows useful parameters to be applied for simulation and then recreated in C and Java, to directly compare with its predecessor project. A variation in a set of the parameters is found to decrease tumor growth in the early stages of tumor development.
Category: Quantitative Biology
[7] viXra:1110.0001 [pdf] submitted on 1 Oct 2011
Authors: Michael Harney
Comments: 6 pages
This paper describes a method of tracking the electromagnetic
dipole, with a three-dimensional representation of the dipole being
graphically displayed in real-time so as to provide diagnostic
information about a patient's heart. By knowing the coordinates
and orientation of the heart dipole and comparing this data with a
healthy heart, cardio-specialists may be able to determine where
damaged tissue is located or other diseases in progress.
Category: Quantitative Biology
[6] viXra:1106.0003 [pdf] submitted on 5 Jun 2011
Authors: Diego Lucio Rapoport
Comments: 16 pages
We reintroduce logophysics based on self-referential torsion fields and the Klein
bottle (KB) logic, which unifies the objective and subjective realms. We apply it to biology,
particularly allosterics and the genetic code. We reveal several topologies of the genetic
code and its bioinformatics codification, in particular the hyper Klein bottle (HKB) surface.
We relate it to the Universal Rewrite System, the Code of Nature, and Dirac algebra.We
find that the double helix is unnecessary in this setting, and elaborate the ontology of 3D
with regards to time, multistable perception, and a topological (lawless) form of Newton's
Third Law. We present the key ideas for a logophysical theory for contextual evolution.
Category: Quantitative Biology
[5] viXra:1103.0085 [pdf] submitted on 22 Mar 2011
Authors: Sergey V. Ershkov
Comments: 6 pages.
Here are presented a key points of new universal model for population evolution in
reactive environment: 1) generalization of the Logistic equation in the case of reactive
environment for population dynamics model in biology (also, for the model of exhaustion
of main resources in geology, or for filling of an ecological niches in ecology, or for
modeling of capacities of a proper markets in economics), 2) new type of asymptotic
solution for such an equation (which is tested on human population growth), 3) reduction
of such an equation to Abel ordinary differential equation in general case.
Category: Quantitative Biology
[4] viXra:1008.0004 [pdf] submitted on 3 Aug 2010
Authors: W. B. Vasantha Kandasamy, Florentin Smarandache, S. R. Kannan, S. Ramathilagam
Comments: 144 Pages.
The study of environmental pollution by chemicals used in
agriculture as pesticide or as fertilizers or pollution caused by
industries and chemical plants which use chemicals have not
been analysed systematically.
This book has five chapters. First chapter is introductory in
nature. Here we just study chemical pollution caused by
garment industries in chapter two of this book using fuzzy
associative memories.
Category: Quantitative Biology
[3] viXra:1005.0022 [pdf] submitted on 11 Mar 2010
Authors: W. B. Vasantha Kandasamy, Florentin Smarandache
Comments: 472 pages
Neutrosophic logic grew as an alternative to the existing
topics and it represents a mathematical model of uncertainty,
vagueness, ambiguity, imprecision, undefined-ness,
unknown, incompleteness, inconsistency, redundancy and
contradiction. Despite various attempts to reorient logic,
there has remained an essential need for an alternative
system that could infuse into itself a representation of the
real world. Out of this need arose the system of neutrosophy
and its connected logic, neutrosophic logic. This new logic,
which allows also the concept of indeterminacy to play a role
in any real-world problem, was introduced first by one of the
authors Florentin Smarandache.
Category: Quantitative Biology
[2] viXra:1004.0021 [pdf] submitted on 8 Mar 2010
Authors: Sreepurna Malakar, Florentin Smarandache, Sukanto Bhattacharya
Comments: 12 pages
This short technical paper advocates a bootstrapping algorithm from which we can form a
statistically reliable opinion based on limited clinically observed data, regarding whether
an osteo-hyperplasia could actually be a case of Ewing's osteosarcoma. The basic
premise underlying our methodology is that a primary bone tumour, if it is indeed
Ewing's osteosarcoma, cannot increase in volume beyond some critical limit without
showing metastasis. We propose a statistical method to extrapolate such critical limit to
primary tumour volume. Our model does not involve any physiological variables but
rather is entirely based on time series observations of increase in primary tumour volume
from the point of initial detection to the actual detection of metastases.
Category: Quantitative Biology
[1] viXra:1003.0132 [pdf] submitted on 6 Mar 2010
Authors: M. Khoshnevisan, Sukanto Bhattacharya, Florentin Smarandache
Comments: 14 pages
In this paper we propose a classification scheme to isolate truly benign tumors from those
that initially start off as benign but subsequently show metastases. A non-parametric
artificial neural network methodology has been chosen because of the analytical
difficulties associated with extraction of closed-form stochastic-likelihood parameters
given the extremely complicated and possibly non-linear behavior of the state variables.
This is intended as the first of a three-part research output. In this paper, we have
proposed and justified the computational schema. In the second part we shall set up a
working model of our schema and pilot-test it with clinical data while in the concluding
part we shall give an in-depth analysis of the numerical output and model findings and
compare it to existing methods of tumor growth modeling and malignancy prediction.
Category: Quantitative Biology
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