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Hanif Amrulloh
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Journal of Multidisciplinary Applied Natural Science
Published by Pandawa Institute
ISSN : -     EISSN : 27743047     DOI : 10.47352/jmans
Core Subject : Science, Education, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Energy Environmental Science Immunology & microbiology Materials Science & Nanotechnology Mathematics Physics
Journal of Multidisciplinary Applied Natural Science (abbreviated as J. Multidiscip. Appl. Nat. Sci.) is a double-blind peer-reviewed journal for multidisciplinary research activity on natural sciences and their application on daily life. This journal aims to make significant contributions to applied research and knowledge across the globe through the publication of original, high-quality research articles in the following fields: 1) biology and environmental science 2) chemistry and material sciences 3) physical sciences and 4) mathematical sciences. The J. Multidiscip. Appl. Nat. Sci. is an open-access journal containing original research articles, review articles, and short communications in the areas related to applied natural science. The J. Multidiscip. Appl. Nat. Sci. publishes 2 issues in a year on January (first issue) and July (second issue). This journal has adopted a double-blind reviewing policy whereby both the referees and author(s) remain anonymous throughout the process.
Arjuna Subject : Umum - Umum
Articles 165 Documents
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Ridge and Liu-Type Estimators for Tobit SUR Model: Application to Air pollution Data Omara, Tarek Mahmoud
Journal of Multidisciplinary Applied Natural Science Articles in Press
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.372

Abstract

This study extends the seemingly unrelated regression (SUR) model through introducing the ridge (RTSUR) and Liu-Type (LTSUR) estimators as biased estimation techniques to address the problem of multicollinearity in the SUR Tobit (SURT) model. This study theoretically evaluates the superiority of the proposed estimators based on the mean square error (MSE) criterion. The results for the theoretically study showing that, the Liu-Type estimator outperforms other estimators under many conditions. A simulation study was conducted to compare the estimators under various factors. The results of simulation show that, the maximum likelihood (MLE) estimator is the worst estimator at all factors and the LTSUR and RTSUR estimators perform better at high levels of multicollinearity and censoring. The LTSUR still achieved a significant superiority over the RTSUR. In addition, when the number of observations in the equations increases, the performance of the LTSUR and RTSUR estimators improves. Moreover, the simulation mean squared errors (SMSE) values for LTSUR estimator converge as number of observation and censored level increase. To study the behavior of the proposed estimators on real data, we used weather data from Cairo city to examine their influence on pollution levels of carbon monoxide (CO), sulfur dioxide (SO2), and nitrogen dioxide (NO2). The results from the real data were consistent with the findings from the simulation study.
Probabilistic Modeling of Annual Maximum Rainfall for Intensity-Duration-Frequency Curve Construction in the Mamminasata Region, South Sulawesi Province, Indonesia Sanusi, Wahidah; Patahuddin, Sudarmin; Sidjara, Sahlan
Journal of Multidisciplinary Applied Natural Science Articles in Press
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.373

Abstract

The evaluation of extreme rainfall events is crucial for the management and planning of water resources, particularly in the design of drainage systems and water storage reservoirs. Such evaluation can be carried out through the estimation of design rainfall, which is commonly represented as rainfall intensity–duration–frequency (IDF) data. The purpose of this study is not only to apply probabilistic models to annual maximum daily rainfall data but also to construct the IDF curves of rainfall in the Mamminasata region of South Sulawesi Province. This study utilizes annual maximum daily rainfall data obtained from the Water Resources, Human Settlements, Spatial Planning, and Development Office of South Sulawesi Province, as well as the Meteorology, Climatology, and Geophysics Agency (BMKG) of Indonesia. The dataset consists of observations from 8 rainfall stations in the Mamminasata region spanning 36 years, from 1989 to 2024. The methodology involves first determining the appropriate probability distribution for each rainfall station, followed by estimating rainfall intensity using the Mononobe method, and finally constructing the IDF curves based on the estimated design rainfall and rainfall intensities for different return periods. This study found that each regency or city within the Mamminasata region generally exhibits distinct rainfall probability distributions. This highlights the importance of evaluating multiple probabilistic models to appropriately characterize the variability and extremes rainfall pattern across different locations. Based on the IDF curve, the results indicate that the longer the rainfall duration, the lower the intensity. Likewise, the shorter the return period, the lower the corresponding intensity.
Dual Antifungal and Immunoregulatory Actions of Topical Silver Nanoparticles from Piper ornatum Extract in Cutaneous Candida albicans Infection Dewi, Firli Rahmah Primula; `Mustofa, Laila Al Azizi; Hamdin, Candra Dwipayana; Geraldi, Almando; Lim, Vuanghao; Pramudya, Manikya; Hayati, Alfiah; Hajar, Versa Rachmania
Journal of Multidisciplinary Applied Natural Science Articles in Press
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.374

Abstract

Cutaneous Candida albicans infection is characterized by persistent inflammation, epidermal damage, and dysregulated immune responses. Silver nanoparticles (AgNPs) have emerged as promising antifungal agents with additional immunomodulatory properties; however, their effects on skin pathology and local immune responses during candidiasis remain incompletely defined. This study aimed to investigate the therapeutic effects of a topical AgNP-based cream in a murine model of C. albicans–induced skin infection. AgNPs were green-synthesized using an aqueous leaf extract of Piper ornatum. A murine model of cutaneous C. albicans infection was established, and infected mice were treated topically with AgNP-based cream formulations at concentrations of 4% or 6%. Disease severity was assessed through macroscopic skin evaluation and histopathological analysis. Immune modulation was examined by flow cytometric analysis of CD4⁺ T-cell subsets expressing TNFα and IL-17, as well as CD11b⁺ myeloid cells expressing IL-6 and IL-10. Untreated infected mice exhibited severe cutaneous pathology, including persistent erythema, erosive lesions, epidermal hyperkeratosis, and acanthosis. These changes were accompanied by marked immune dysregulation, characterized by expansion of CD4⁺IL-17⁺ T-cells, suppression of TNFα-producing CD4⁺ T-cells, increased IL-6 expression, and reduced IL-10 production in CD11b⁺ myeloid cells. Topical AgNP treatment significantly ameliorated macroscopic and histological skin damage, restoring epidermal architecture toward normal. Immunologically, AgNP therapy attenuated pathological Th17 responses, reduced IL-6-producing myeloid cells, enhanced IL-10 expression, and maintained TNFα at controlled levels. Both AgNP concentrations were effective, with the 4% AgNP formulation showing slightly superior normalization of epidermal thickness and inflammatory markers. Overall, topical AgNP-based cream effectively alleviated cutaneous C. albicans infection by combining antifungal activity with coordinated immunomodulation of both adaptive and innate immune responses. By suppressing excessive IL-17– and IL-6–driven inflammation while promoting regulatory immune pathways, AgNP treatment supports tissue repair and immune homeostasis, highlighting its potential as a therapeutic strategy for cutaneous candidiasis.
New Pyrrole-Chalcone Hybrids Against Acetylcholinesterase: Synthesis, In Vitro, and Computational Studies Ridwanuloh, Dadan; Danova, Ade; Hermawati, Elvira; Chavasiri, Warinthorn; Ihsanawati, Ihsanawati; Alni, Anita
Journal of Multidisciplinary Applied Natural Science Articles in Press
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.375

Abstract

Acetylcholinesterase (AChE) inhibition remains a central therapeutic approach for Alzheimer’s disease (AD), as it helps preserve synaptic acetylcholine levels, enhances cholinergic neurotransmission, and mitigates early cognitive decline. In this study, eight novel pyrrole–chalcone hybrids (3–10), consisting of four pyrrole–chalcones (3–6) and four pyrrole–chalcone amides (7–10), were designed, synthesized, and biologically evaluated for AChE inhibition. Among them, compound 8 (N-(4-methoxybenzyl)-pyrrole–chalcone amide) and compound 10 (N-(3,4-dimethoxybenzyl)-pyrrole–chalcone amide) demonstrated the strongest inhibitory activity, with IC₅₀ values of 3.1 and 2.8 µM, respectively, comparable to galantamine. Kinetic assays confirmed that both compounds act as noncompetitive inhibitors, as indicated by reduced Vmax without significant alteration in Km, while compound 10 exhibited Ki of 0.8 µM, reflecting high enzyme affinity. Molecular docking revealed strong binding interactions of compounds 8 and 10 with key AChE residues (Trp84, Phe330, Tyr334), supported by π–π stacking, π–alkyl interactions, and hydrogen bonding, with binding energies of –9.2 (compound 8) and –8.9 kcal/mol (compound 10). Molecular dynamics simulations further demonstrated that compound 10 forms a more stable and compact complex with AChE, as indicated by consistent RMSD values and a stable radius of gyration. SwissADME analysis confirmed favorable pharmacokinetic profiles for both ligands, including Lipinski compliance, high GI absorption, and absence of PAINS alerts, despite the lack of predicted BBB permeability. Overall, compound 10 emerges as the most promising noncompetitive AChE inhibitor in this series, exhibiting strong binding affinity, structural stability, and drug-likeness, thus warranting further optimization and in vivo evaluation.
Evaluating the Potential of Agarose Hydrogel Incorporating Eggshell Powder as a Sustainable Medium for Seedling Growth Nuryantini, Ade Yeti; Mahen, Ea Cahya Septia; Oktaviani, Indri; Nuryadin, Bebeh Wahid; Edikresnha, Dhewa; Khairurrijal, Khairurrijal
Journal of Multidisciplinary Applied Natural Science Articles in Press
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.376

Abstract

Hydrogels represent a promising alternative for plant cultivation, offering excellent water and nutrient retention. This study reports the synthesis and characterization of an agarose-based hydrogel composite enhanced with eggshell powder (ESP). The hydrogel composites were prepared in four agarose-to-ESP ratios: 10:0 (Hyd-ES0), 10:1 (Hyd-ES1), 10:3 (Hyd-ES3), and 10:5 (Hyd-ES5). Fourier-transform infrared spectroscopy (FTIR) analysis revealed minimal peak shifts, indicating no significant chemical modifications. Characteristic ESP peaks were identified in the composite hydrogels, confirming the effective integration of ESP into the agarose matrix. The addition of ESP reduced the decomposition rate of the hydrogels and increased macromolecular stability. Density measurements indicated higher density with increasing ESP concentration, supported by enhanced crystal formation, as evidenced by more intense diffraction peaks in X-ray diffraction (XRD) patterns. Morphological analysis revealed that the porosity of the hydrogel, swelling, and weight-loss tests showed a decline in both properties with higher ESP content. Seed germination experiments demonstrated that stem, root, and leaf growth, as well as fresh and dry weights, were most optimal with the Hyd-ES1 hydrogel composite. Thus, Hyd-ES1 hydrogel exhibits significant potential as a medium for seed germination and plant growth.

Page 17 of 17 | Total Record : 165

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