Scientific Inquiry and Review

A Study of New Continuous Univariate Weibull Model with Empirical Illustrations

Sun, 15 Dec 2024 00:00:00 +0000

The theory of probability distribution is used for mathematical modeling in various research areas. It makes those models flexible that are used to quantify uncertainties and risks in extreme events. This is also important for decision-making. This study proposes a new model labeled as ‘exponentiated alpha Weibull (EAW)’. The densities and reliability functions of EAW are also depicted graphically. Various statistical properties of the proposed model are explored. For estimation, the maximum likelihood (ML) method is applied. Simulation study is also performed. To check model performance, the proposed model is compared with other competitive models (CMs) for water runoff data.

Selective Removal of Zinc, Cadmium, and Lead from Industrial Effluents using Bimetallic Nanoparticles Synthesized via Green Route

Ezaz Gilani, Asma Shafqat, Rashid Mahmood, Aysha Bukhari, Momina Feroz — Sun, 15 Dec 2024 00:00:00 +0000

The biocompatible qualities of nanoparticles, synthesized by plant medium, have garnered a considerable attention. Nanoparticles made of two different metals (thus the name "bimetallic") are crucial in the process of purifying wastewater. Adsorption is enhanced for bimetallic nanoparticles due to their larger surface area as compared to the monometallic nanoparticles. The current study examined the adsorption characteristics of Mg-Bi bimetallic nanoparticles and their efficacy in removing cadmium, lead, and zinc from wastewater. The synthesis of bimetallic nanoparticles from natural resources (plant extract) is more significant than conventional methods due to its low cost, dependability, non-toxicity, and environmental friendliness. Plant extract made from biomass wastes including roots, flowers, leaves, and fruit peels contains terpenoids, flavonoids, and alkaloids which are new secondary metabolites and work as stabilizing and reducing agents. SEM, UV- Visible, EDX, and XRD are some of the methods used to examine synthesized nanoparticles for shape, content, and size. Heavy metal removal is sensitive to changes in pH, adsorbent dose, and metal concentration at the outset. The results confirmed that the plant-mediated synthesized nanoparticles can be used as a systematic adsorbent for the elimination of heavy metals in wastewater.

On the Study of Topological Indices of Drugs against COVID-19

Sun, 15 Dec 2024 00:00:00 +0000

A topological index (TI) is an analytical metric of the molecular structure derived from the corresponding molecular graph. A class of viruses known as coronaviruses is responsible for human upper respiratory tract infections. Several antiviral medications currently available in the market are efficient in managing COVID-19. These include ritonavir, arbidol, theaflavin, hydroxychloroquine, chloroquine, and remdesivir (GS-5734). In this study, a set of TIs for remdesivir (GS-5734), arbidol, theaflavin, ritonavir, chloroquine, and hydroxychloroquine are computed based on their repective molecular graphs. These indices comprise Nirmala leap index, modified Nirmala leap index, first inverse Nirmala index, and second inverse Nirmala index. Additionally, the calculated outcomes are plotted to see how they are affected by the relevant parameters. The analysis shows that the Nirmala leap index shows the highest value among the studied indices, with Ritonavir leading at . Conversely, the modified Nirmala leap index shows the lowest value of for chloroquine. These findings may offer assistance in the advancement of novel COVID-19 treatment drugs.

Computation of Tades of Some Families of Graphs

Khurram Shabbir, Ahmad Raza, Liliana Guran — Thu, 26 Dec 2024 00:00:00 +0000

This study presents novel and efficient techniques for computing the Total Absolute Difference Edge Irregularity Strength (TADES) of several well-known graph families. Specifically, the focus remains on book graphs with pentagonal pages, the hairy cycle graph, and three-regular graphs. For these increasingly complex graph structures, innovative algorithmic methods are introduced that significantly reduce the computational complexity of determining TADES, thus contributing valuable insights and advancements to the study of graph theory.