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novelty and scientific significance in any field of research, and which are well written, well organized, original, and unpublished.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
MJ Biotechnology
MJ Biotechnology is an international, peer-reviewed, open access journal dedicated to the publication of high-quality research in all areas of biotechnology and related life sciences.
Editor In Chief: Dr. Parfait Kezimana
Recent Articles
- Published:
by Kevin Fabrice Paul Mandeng¹˒², Jafarou Mounpou¹, Imelda Lucresse Nouteza Djuikoo¹, Maxwell Wandji Nguedjo¹˒²˒³˒⁴*, Dany Joël Ngassa Ngoumen²˒⁴, Yves Didier Mboma Nseme⁵, Ruth Edwige Kemadjou Dibacto¹, Boris Ronald Tonou Tchuente¹, Hippolyte Tene Mouafo¹, Melanie Ngondam¹, Gabriel Nama Medoua¹
Garcinia mangostana L. is a tropical fruit increasingly consumed in Cameroon, while its kernels are generally discarded as waste. This study evaluated mangosteen kernels as a potential functional ingredient for preventing and managing cardiometabolic diseases. Kernels were isolated, cleaned, sliced, freeze-dried, and powdered. Mineral composition was determined by atomic absorption spectrophotometry. Bioactive compounds were extracted using distilled water, hydroethanol (70:30, v/v), and ethanol and quantified spectrophotometrically. Antioxidant activity was assessed using DPPH radical scavenging, ferric-reducing power, and total antioxidant capacity (TAC) assays. The kernels contained […] Read more at https://mjcellpress.com/article/multi02/
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by Kouchou Wouobu Marie Victoire¹*, Henriette Zangue Adjia², Pokam Tchinda Martial¹, Sieliechi Joseph Marie³
The inherent variability of sugar industry wastewater constitutes a major challenge for the reproducibility of laboratory-scale experiments and the reliable evaluation of wastewater treatment technologies. This study presents the development of a molasses-based synthetic wastewater (MBSW) designed to provide a reproducible and representative model of sugar industry effluent under controlled experimental conditions. Unlike conventional synthetic formulations relying on simple carbon sources such as glucose, the proposed MBSW incorporates biodegradable organic matter and balanced nutrient concentrations to better reproduce the physicochemical characteristics of real agro-industrial wastewater. The synthetic wastewater was prepared by diluting raw molasses with distilled water and supplementing the mixture with nitrogen and phosphorus sources. Its physicochemical properties were characterized through measurements of pH, electrical conductivity, chemical oxygen demand (COD), biochemical oxygen demand (BOD₅), total suspended solids (TSS), total nitrogen, and total phosphorus. The developed formulation exhibited a high biodegradable organic load, with COD values ranging from[…] Read more at https://mjcellpress.com/article/mjes16
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by Ebeh Claude Eugène¹˒²*, Bidja Abena Marie Thérèse², Eyamo Evina Victor Jos¹˒³, Ntsobe Ebella Andrée Marie Ange⁴, Amfouo Fouojo Christian⁵, Tankeu Noundou Armel Narcisse⁶, Eto Tertullien Darlhin⁶˒⁷, Liheb Ben Armand⁷, Adamou⁸, Nana Paulin¹˒⁹
Rapid urbanization in Ebolowa (South Cameroon) has increased dependence on public and community boreholes for drinking water, yet their microbiological safety remains poorly documented. This study evaluated the bacteriological and physicochemical quality of water from four highly used boreholes in Ngalane, New Bell, Nko’ovos, and Ebolowa Si I. Boreholes were georeferenced using GPS and mapped with QGIS 3.34.1. Water samples were analyzed for total coliforms (TC) and Escherichia coli, while temperature, pH, total dissolved solids (TDS), and electrical conductivity were measured in situ. Differences among sites were assessed using one-way ANOVA with Tukey’s test, and Spearman’s correlation evaluated relationships between physicochemical parameters and bacterial loads. Ngalane showed the highest contamination, with E. coli and TC levels of 7,000 ± 1,000 and 35,666.67 ± 1,527.53 CFU/100 mL, respectively. New Bell showed […] Read more at https://mjcellpress.com/article/mjm/02
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by Barthelemy Roger Lekoa¹*, Lionel Merveil Anague Tabejieu¹ ², Marina Aude Nguessom Foadieng¹, Nelson Kevin Foadieng Fokam³, Valéry Claude Abbe Ngayihi¹
Pipelines conveying pulsating fluids are prone to complex vibration phenomena that may compromise their structural stability and reduce their service life. This study investigates the nonlinear dynamic behavior of a simply supported pipeline conveying a fluid with time-dependent velocity. Both the uncontrolled configuration and the configuration equipped with a vibration controller are considered. The governing equations are derived using the generalized Hamiltonian variational principle, Euler–Bernoulli beam theory, and von Kármán nonlinear strain–displacement relations. The critical mean flow velocities associated with the first and second vibration modes are determined, and their influence on the temporal displacement response of the pipeline is analyzed. A nonlinear energy sink is then introduced as a passive vibration control device to reduce the transverse vibration amplitude of the system. The results show that […] Read more at https://mjcellpress.com/article/mjes15/
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by Mbarga Manga Joseph Arsene¹*
The global rise of antimicrobial resistance has intensified the search for therapeutic strategies that reduce bacterial pathogenicity without relying solely on bacterial killing. Quorum sensing (QS), a cell-density-dependent communication system, regulates key virulence traits including biofilm formation, motility, toxin production, extracellular enzyme secretion, immune evasion, metabolic adaptation, and antimicrobial tolerance. As a result, QS has become a promising target for anti-virulence therapy. Numerous bioactive compounds, including phytochemicals, essential oils, microbial metabolites, antimicrobial peptides, quorum-quenching enzymes, synthetic inhibitors, and nanomaterials, have been investigated for their ability to interfere with QS-regulated pathways. However, validating anti-QS activity remains methodologically challenging because many putative QS inhibitors also affect bacterial growth, metabolism, membrane integrity, or biofilm stability, making it difficult to distinguish true communication interference from nonspecific antimicrobial effects. This review critically evaluates the […] Read more at https://mjcellpress.com/article/mjm01/
- 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/
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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/
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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/