


Issue release: 30 June 2025
Issue release: 30 June 2025
Issue release: 30 June 2025
This research explores the impact of the relative magnetic effect on the Couette flow of dusty Casson fluid between two parallel Riga plates. The mathematical model is based on a set of partial differential equations that describe the behavior of the dusty Casson fluid in interaction with the Riga plate. To convert this system of equations to its dimensionless form, appropriate transformations are used, and to solve this system numerically, explicit finite difference methods are applied to it. A graphical representation has been presented by using MatLab software for a comprehensive understanding of the effect of various non-dimensional parameters such as pressure gradient parameter (α), Casson parameter (β), modified Hartmann number (Ha), fluid concentration parameter (R), particle mass parameter (G), Eckert number (Ec), Prandtl number (Pr), and temperature relaxation time parameter (L0) on the velocity distributions u (or up) and on the temperature distributions θ (or θp), including shear stress and Nusselt number for both clean and dust fluid particles. The impacts of these parameters on the above-mentioned distributions have been discussed with their physical significance, taking the variation of any one of those parameters and with fixed values of α =1, β = 2, Ha=1, R = 0.5, G = 0.5, Ec = 0.01, Pr = 0.71, and L0 =0.8. The results reveal significant effects of relative magnetic fields on both clean fluid and dust particle motion.
Issue release: 30 June 2025
Issue release: 30 June 2025
In this paper, we continue using the theoretical model describing 3D-branching systems that is applied to describe the living system, such as the silkworm butterfly cocoons (Bombyx mori). The proposed fitting function that follows from the applied model allows us to describe completely with high accuracy (the fitting error is less than 0.1%) the whole stage of the temporal evolution of the silkworm cocoons in room conditions (during 13 days of the experiment the lowest temperature noted was 27 ℃ and the highest temperature was 29 ℃) and with relative humidity located in the interval [Hmin 54% £ H £ 76% Hmax] during 13 days (13 November 2023 to 25 November 2023) of the impedance measurements. The selection of this biological object is related to the fact that all possible conducting channels formed inside the given cocoon have 3D structures. Analysis of the measured impedance data shows that the measurements at the beginning of each day have a monotone character, while each measurement after the first measurement of each day has chaotic behavior. It means that during the night a cocoon “has a rest”. After this resting period, the applied voltage disturbs internal processes that are reflected in the behavior of the measured impedance. It has an oscillating character. These oscillations reflect the “regrouping” of conducting channels that take place inside the measured cocoon.
Issue release: 30 June 2025
The article deals with the problem of ternary logic, in which, except for the states “yes” and “no” (inherent in the traditional binary logic), is introduced the “third state” U—“Unknown”, and also addresses the issues of technical and mathematical problems that arise in this case. To do this, the ternary logic of Stephen Kleene has been corrected, and the implementation of ternary calculations using probabilistic polynomials over the field of real numbers has been proposed. The authors analyze the process of the addition of the “third state” to binary logic, in that regard the approach of Stephen Kleene, who introduced an “indefinite state”. But the authors judge it necessary to introduce also the negation of the “indefinite state” and suggest a way to replace logical functions with probabilistic polynomials based on the field of real numbers, which are conveniently calculated on modern hardware, for example, in video card processors. Terms of the ternary logic can be useful for the implementation of new artificial intelligence projects that model the operation of thinking with uncertain results, while the transition to probabilistic functions can expand the capabilities of such models and simplify the analysis of errors that occur during the operation of artificial intelligence systems.
Editor-in-Chief

Prof. Youssri Hassan Youssri
Cairo University, Egypt
Asia Pacific Academy of Science Pte. Ltd. (APACSCI) specializes in international journal publishing. APACSCI adopts the open access publishing model and provides an important communication bridge for academic groups whose interest fields include engineering, technology, medicine, computer, mathematics, agriculture and forestry, and environment.