GPH-International Journal of Applied Science

A WAY FOR - DECEPTIONING THE NORMAL – OR THE – DANGEROUS CELLS USING VIBRATIONS

Markos Georgallides — 2025-11-14

The Electron`s Nutation in Hydrogen cave Produces Energy due to g effect, as minimum frequency fₙ = 2,8398447. 10¹⁰ H and thus exists in all Atoms. This Energy of Hydrogen-Cave becomes an Electrical – Magnetic Conductor which is the Pin and Plug of atoms. Pins entering Into the other Atom-Sockets consist the Orbit-Bracket – Hooks i.e. are the Hands of Atoms. Hooks Placing their Pins into the other Atoms Drains = Holes = Plugs, is done that what we say Bonding.
Hydrogen – Cave In – Out Universe occupies mass mᴴ velocity č and Power Pᴴ.

Preliminaries:
Atoms are consisted of a Hydrogens – Heap, which vibrates and Equilibrium at the Dynamic Mode-Shapes following The Stationary – In Sphere, Tetrahedron, Cube, Ex-Sphere – Geometrical construction. Since vibration means the frequencies in each Atom or and its Compound, so thus they consist the Electromagnetic Waves. The Interactions of any two or more Energy Systems with known Status use the Markos Program which is ⇒ { The Carrier Modulating–Modulated–Demodulation Waves Process } for their Energy-Spectrum Waveform. Electromagnetic Signals may be used to Transmit Information very quickly and over great distances. Informations are encoded on Atoms – Signals using, Amplitude and Frequency modulation, and reviewed in the Program. The Process of retrieving the information from encoded Signals is detected by the Antidotes.

This simple Program–Process allows the User to detect any action of the Initial – Signal, through the Modulating–Modulated–Demodulated Process, to the Final and wish Repaired Signal. The Spectrum Analyzer is detected in all Steps.
An Application of the method is used on CELLS which consist themselves a close System or, a Complete–Energy–Monad.

Modeling and Simulation of Typhoid Fever Using a Fractional-Order Approach with the Generalized Adams–Bashforth–Moulton Method

Hawah Oyiza Rabiu — 2025-11-16

We consider the epidemiological characteristics of Typhoid fever infection in this paper in the equation of a fractional-order mathematical model in Caputo derivative. The interventions that are employed in the model to control the disease include treatment and vaccination to investigate the impact of the controls on the dynamics of the disease. The existence and uniqueness of solutions under the frame of the fractional order and the stability of the endemic equilibrium point are defined and tested by the theory of Lyapunov functions. The model is numerically determined by using the fractional Adams-Bashforth-Moulton algorithm to point out the modification of the model parameters and the fractional orders of the model parameters into the influence of each of the above parameters on the disease progression. It has been demonstrated by the use of simulation that increased treatment and vaccination of the disease reduces the prevalence of Typhoid fever, and indicates the high degree of flexibility and realism of the fractional-order models compared to the classical integer order equations. The significance of fractional modeling in the description of the interactions between the effects of memory and nonlocal interaction between the biological systems is identified in the paper, and this improves the comprehension and management of infectious diseases. The model however presupposes that the population is homogeneous mixed and hypothetical values of the parameters therefore inhibits empirical validation. In order to render the model more predictive and applicable in practice in the development of effective control strategies on Typhoid fever, future investigations should be able to incorporate the spatial heterogeneity, stochastic effects.

Numerical Methods for Addressing Fractional Order Trypanosomiasis Through the Generalized Adams-Bashforth-Moulton Approach

Musa Yunusa — 2025-11-16

Trypanosomiasis remains a critical vector-borne disease burden, especially in sub-Saharan African communities where tsetse fly populations thrive and healthcare infrastructure remains limited. Conventional integer-order mathematical frameworks frequently inadequately represent the hereditary characteristics and intricate transmission patterns inherent in vector-borne disease systems. This research presents a fractional-order mathematical framework for examining the epidemiological characteristics of trypanosomiasis transmission, with particular focus on how treatment interventions at different disease stages affect overall transmission dynamics. The primary goal is to explore how variations in treatment efficacy rates and vector-human contact patterns influence disease persistence and spread within affected populations. The framework employs fractional derivatives to more accurately capture the non-Markovian properties of infection progression and immune response mechanisms. The computational results further reveal that strategically implemented treatment protocols can dramatically reduce infection prevalence, potentially driving the system toward disease elimination scenarios. The innovation of this work centers on applying fractional calculus to trypanosomiasis transmission modeling, an approach relatively unexplored in this epidemiological context, while simultaneously incorporating multi-stage treatment interventions and natural immunity waning processes. The model demonstrates superior precision in representing temporal disease progression compared to classical integer-order approaches. This investigation underscores the utility of fractional-order modeling in vector-borne disease research and emphasizes the critical importance of strengthening treatment capacity and vector control measures to effectively manage and eliminate trypanosomiasis transmission in endemic regions.