Multidisciplinaris
Multidisciplinaris is a multidisciplinary journal welcoming papers presenting novelty and scientific significance in any field of research, and which are well written, well organized, original, and unpublished.
Editor In Chief: Dr. Hippolyte Tene Mouafo
MJ Social Sciences
MJ Social Sciences is a multidisciplinary journal dedicated to the advancement of knowledge in all fields of the social sciences.
Editor-in-Chief : Pr. Manassé ABOYA ENDONG.
MJ Microbiology
MJ Microbiology is an open access, peer-reviewed journal dedicated to the rapid dissemination of all findings in microbiology and related areas.
Editor In Chief: Dr. Podoprigora Irina Viktorovna
MJ Mathematics & Computer Science
MJ-Mathematics and Computer Science (MJ-MCS) provides an advanced forum on all aspects of Mathematics and computer Sciences. MJ-MCS is an open access with a fair, transparent and constructive peer review process.
Editor In Chief
Pr. Abboubakar Hamadjam
MJ Engineering Sciences
MJ Engineering Sciences is an international, peer-reviewed, open access journal on all aspects of engineering published online by MJ Cell Press.
Editor In Chief: Pr. Ruben MOUANGUE
Recent Articles
- Published:
by Elong Valery Lavenir¹˒², Nkongho Anyi Joseph¹˒²˒³, Moussa Sali¹˒²˒⁴, Amba Jean Chills¹˒²
Banana pseudostem bagasse (Musa spp.) is an abundant agricultural residue generated after harvesting or sap extraction. Its valorization contributes to reducing agricultural waste, replacing synthetic materials, and promoting the development of bio-based sectors in construction, packaging, and related industries. This study provides a comprehensive characterization of banana bagasse to support its use as a sustainable industrial material. The analysis focused on key physical, hydric, chemical, and thermal properties. The results showed a fineness of 40 µm, a density of 220 kg·m⁻³, a porosity of 77%, and a specific surface area of 1.2 m²·g⁻¹. Hydric properties included a moisture content of 74.5% (wet basis), a water retention capacity […] Read more at https://mjcellpress.com/article/mjes14/
- Published:
by Steve Pieric Gré Koeber¹*, Matanga Jacques¹*, Maka Maka Ebenezer¹, SOM Judith¹, Ndoumbe Jean¹, Essiben Dikoundou Jean François¹
Failure prediction in industrial systems constitutes a fundamental component for optimizing maintenance strategies, reducing operational costs, and ensuring safety within increasingly complex production environments. Conventional monitoring approaches, typically based on fixed thresholds or simplified statistical analyses, are often inadequate to capture the nonlinear, dynamic, and multi-scale behaviors that characterize modern industrial processes. This study presents a comprehensive and critical comparative analysis of the principal intelligent algorithms, including machine learning, deep learning, and hybrid approaches, applied to industrial failure prediction. By systematically evaluating their respective strengths, limitations, and domains of applicability, the study highlights persistent challenges, particularly regarding […] Read more at https://mjcellpress.com/article/mjes13/
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by Galilée Jean Baptiste Anyu Mezene¹*, Séverin Nguiya¹, Lionel Merveil Anague Tabejieu², Ruben Mouangue³.
Pollutant dispersion in natural systems, such as rivers and atmospheric flows, represents a major environmental challenge with serious consequences for ecosystems and human health. This study focuses on the steady-state transport of a pollutant in a one-dimensional domain governed by coupled advection and diffusion processes. An exact analytical solution of the governing ordinary differential equation (ODE) is derived and complemented by a numerical solution obtained using the finite difference method, which is solved through the Gauss–Seidel iterative algorithm. The numerical implementation is carried out in Python, and the results are graphically visualized to allow a direct and reliable comparison between analytical and numerical solutions. To provide a physical interpretation, the system is modeled as a simplified river segment with clearly defined boundary conditions, illustrated by a TikZ diagram. The model assumes constant advection velocity and diffusion coefficient, an assumption that is justified under steady-state conditions typically encountered in controlled environmental studies. The results demonstrate a […] Read more at https://mjcellpress.com/article/mjes12/
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by Mohamed El Bachir¹, Ebenezer Maka Maka²˒³, Yannick Malong²˒³, Benjamin Garga⁴, Daouda Hassana Daouda¹, Hamadjam Abboubakar³˒⁵*
The Chikungunya virus, primarily transmitted by female Aedes aegypti and Aedes albopictus mosquitoes, poses a growing global public health challenge due to its debilitating symptoms and rapid spread. Recent outbreaks in Southeast Asia, South America, and Central and East Africa highlight the difficulty of accurately predicting epidemics, given the complex interactions among environmental, climatic, and biological factors. Traditional epidemiological surveillance systems often remain insufficient for early outbreak detection. This study applies advanced machine learning techniques, specifically ensemble regression, to develop predictive models of Chikungunya epidemics in Chad, Brazil, and Paraguay. Random Forest and XGBoost regressors optimized via Grid Search are combined within a Voting Regressor ensemble framework. The ensemble model demonstrated superior […] Read more at https://mjcellpress.com/article/mjmcs03/
- Published:
by Albert Kouchéré Guidzavaï¹, Joseph Yangla², Hamadjam Abboubakar³⁴*, Gnodandi Kaakréo², Rubin Fandio⁵, Irépran Damakoa².
This study proposes and analyzes a mathematical model for the transmission dynamics of COVID-19, explicitly accounting for the ability of the immune system in some individuals to eliminate the virus before they become infectious. A compartmental Susceptible–Exposed–Asymptomatic–Symptomatic–Hospitalized–Recovered (SEAIHR) model is formulated using both classical integer-order derivatives and Caputo fractional-order derivatives. The model is first examined by establishing the positivity and boundedness of solutions, followed by the computation of the basic reproduction number R0. The existence of equilibrium points is proven, and the asymptotic stability of the disease-free equilibrium is analyzed when […] Read more at https://mjcellpress.com/article/mjmcs02/
- Published:
by Wandji Kepdjouo Nathanaël¹*, Ekani Roger Yannick²³ , Tetang Fokone Abraham¹, Djiako Thomas⁴ , Edoun Marcel¹.
Access to clean and sustainable cooking energy remains a major challenge in many developing regions, where reliance on biomass fuels contributes to deforestation and adverse health effects. Parabolic solar cookers offer a promising solution due to their high-temperature potential; however, their performance is often constrained by strong thermal non-uniformity resulting from excessive energy concentration at the geometric focus. This study investigates the influence of focal length variation on the thermal performance of a parabolic solar cooker under moderate solar irradiance conditions. A steady-state numerical analysis was carried out using a coupled Tonatiuh–ANSYS Fluent approach, based on the climatic conditions of Ngaoundéré (DNI = 450 W·m⁻², ambient temperature = 298.15 K, wind speed = 1.5 m·s⁻¹). Three focal configurations, including the geometric focus and two defocused positions, were examined. The results indicate that a slight downward displacement of the absorber improves both thermal performance and temperature uniformity. An optimal focal length of[…] Read more at https://mjcellpress.com/article/mjes11/
- Published:
by Simon Gnassiri¹*, Steve Carly Desobgo Zangue², Ruben Mouangue¹.
The use of hops as a bittering agent in the brewing industry represents a major challenge for several African countries due to their dependence on imports and the resulting economic burden. Developing locally available alternatives is therefore of significant technological and economic interest. This study aimed to evaluate the brewing potential of Balanites aegyptiaca fruit extracts as a substitute bittering agent in sorghum beer production. Bitter compounds were obtained using two extraction methods, infusion and maceration, and incorporated during wort boiling. A mixture experimental design generated with Design-Expert® software was applied to optimize the proportions of infused and macerated extracts as well as the wort cooking time. Vitamin C, flavonoids, and total polyphenols were selected as response variables and modelled using Response Surface Methodology (RSM), resulting in multivariate polynomial models with high predictive performance. The infused extract showed […] Read more at https://mjcellpress.com/article/mjes10/
- Published:
Igor Prince Martial Bondobo¹*, Cyrille Rodrigue Enone Ellah¹, Ahmed El-Kebir Iya¹, Noé Landry Privace M’bouana², Ruben Martin Mouangue¹
Electrification in the Central African Republic (CAR) continues to represent a critical challenge to its socio-economic development, particularly in rural areas, where access to electricity remains below 3%. In this context, photovoltaic solar energy stands out as an especially promising alternative, given the country’s considerable solar resource potential. The present study assesses the photovoltaic potential of Boali using hourly climatic data obtained from the SolarGIS and NASA POWER databases. The Skoplaki model was employed to estimate the operating temperature of the photovoltaic modules, which […] Read more at https://mjcellpress.com/article/mjes09/
- Published:
by Falina Manassé Igor¹, Onguene Mvogo Philippe²*, Enone Ellah Cyrille Rodrigue³,Ahmed El-Kebir Iya³, Tegawende Zaida Justin⁴,Mouangue Ruben³.
This study presents an experimental investigation of fire and smoke propagation through a window opening facing an internal patio (vertical void) in a high-rise building (HRB). Experiments were carried out on a 1:4 scale model composed of two superimposed compartments of identical dimensions (1.23 m × 1.23 m × 2.0 m). Each compartment was equipped with a front window (0.25 m × 0.25 m), while a door measuring 0.50 m × 0.25 m was installed only on the left side of the lower compartment. Two configurations were analyzed: a building with an internal patio (CIAP) and a building without a patio (CISP). Using kerosene as the fire source, a comparative analysis of smoke and hot gas propagation was performed. In the CIAP configuration under windless conditions,[…] Read more at https://mjcellpress.com/article/mjes08/
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by Ismael Boumsoumouna Kaoke¹*, Ousman Boukar¹², Esther Ngah³,Robert Germain Beka⁴, David Libouga Li Gwet¹⁵, Laurent Bitjoka¹².
Visual inspection of cocoa beans is vital for quality control in the agri-food industry, yet traditional methods such as the cut test remain subjective and labor-intensive. Conventional Machine Learning (ML) and Deep Learning (DL) models show good performance in binary classification but often struggle with multi-class tasks and non-standard image conditions.This study introduces a Quaternion Convolutional Neural Network (QCNN) designed to capture inter-channel correlations in color images within both RGB and CIE XYZ spaces. The model was trained and validated on 1,788 cocoa bean images divided into six quality classes, collected under […] Read more at https://mjcellpress.com/article/mjes07/