Basrah Journal of Science

We establish general q-operator _r Φ_s and subsequently discover some of its operator identities, which we use to generalize various q-integrals such as the Andrews-Askey integral, Gasper integral, and Askey-Wilson integral. In q-integrals, we specify exact values for achieving certain new results or reproofing others.

The singularity of positive harmonic functions has been studied in the punctured unit open ball in B(0,1)\\{0} [1]. The representation of a positive harmonic function in B(0,1)\\{0} is given by Bôcher’s Theorem. In this work, the representation of Bôchre’s has been generalized to a punctured bounded domain in R^n, Ω\{x_0}. Then the work has been extended to represent positive harmonic functions with two isolated singularities in a bounded domain of R^n.

A new generalization for the Bernstein-Kantorovich operator with a parameter is proposed in this study. First, we prove the Korovkin type approximation theorem, then we provide the Voronovskaja type theorem for our generalization, demonstrating that the order of approximation is improved, making the approximation by our operators better than the original Kantorovich, and finally, we provide some numerical data for two test functions to support the study.

Severe acute respiratory syndrome (SARS) is a very dangerous disease that affects the human respiratory system. In this article, we discuss the optimal control of this disease via a fractional SVEIR epidemic model together with two control variables (treatment and vaccination). For this purpose, we first design a fractional optimal control problem and then apply Pontryagin's minimal principle in a fractional version to find the optimal control. Also, the forward and backward fractional Euler methods (FEM) are used to solve the state and co-state equations, respectively. The results gave a new treatment and vaccine strategy for breaking dawn and preventing the spread of SARS.

The objective of this article is to formulate a mathematical model to make a vaccination strategy to reduce outbreaks of influenza A (H1N1) via a fractional model, taking into account the time it takes for the vaccine to be active. For this purpose, the SIR model is modified by using the Caputo fractional derivative, unifying the unit of time on both sides of each equation, and adding the control variable with a time delay (the vaccine variable). Meanwhile, the theory of optimal control is used to construct an algorithm that enables us to determine the optimal vaccination strategy. The forward and backward Euler method has been used to find the optimal solutions numerically. The numerical simulation is based on data from Morocco's experience with influenza A (H1N1).

Data or information is a crucial resource for us. Thus, data security is even more crucial. There are alternate methods for securing data, as the communication mediums we use to convey data do not ensure security. Currently, information concealment is essential. It provided methods for encrypting data, rendering it unreadable to unauthorized parties. This article discusses the methods for data concealment and how they can be combined to give an additional layer of security.

Real-time stock market data must be acquired, processed, and disseminated efficiently. Certain methods for acquiring stock market data have limitations. Stock market prices in Iraqi dinars are unreliable for exchange shops and satellite channels in underdeveloped countries like Iraq. In this study, XPath and HTML Agility Pack were used to predict an accurate Real-Time Stock Market Trend Window. In Iraqi dinars in three languages, the trend pane shows metals, energy, and currency stock values. XPath and Html Agility Pack display real-time stock market data in a stock market window. C# is used for the window's front-end and back-end designs, and SQL Server is its data warehouse. Currency, metal, and energy prices are shown in a stock market trend window. Pricing updates every 10 seconds in the trend pane. In Iraqi dinars and three languages, the window displays cash, metal, and energy values. In developing nations, stock traders, satellite channels, and anyone interested in stock market prices can use it. A future study may investigate techniques to create a standard dataset using conserved cash, metal, and energy values.

Biodegradable polymer-based packaging materials are a practical replacement for traditional plastic packaging made of fossil fuels. The molecular weight and the kind of plasticizer present in these materials are the two primary variables influencing their usability and performance. This study set out to physically blend chitosan to enhance the physical and mechanical properties of chitosan cast films. A chitosan extract with a molecular weight of 2.702x105 g/mole with an 80% degree of deacetylation level was produced from the shells of local shrimp. Chitosan films plasticized with varied w/w ratios of diethylene glycol and poly(ethylene glycol) with molecular weights of 400 and 1500 g/mole were produced by casting from 2%acetic acid solutions. By using FTIR to analyze them, it was found that their spectra were compared to those of native chitosan, showing that the main backbone of the chitosan structure was unaffected. An examination of the mechanical properties of the films revealed that the results of the tensile strength measurement showed that the combination of diethylene glycol and poly(ethylene glycol) improved the mechanical properties of chitosan as films were obtained with more elasticity than unplasticized chitosan with better solubility.

Complexations of three new polymeric Schiff base ligands to transition metals (Ni and Zn) were synthesized via the preparation of a Schiff base ligand on Styrene-allyl alcohol (SAA) and two types of polyvinyl alcohol (PVA). These polymers were a supporting agent for preparing Schiff base ligand on it, followed by complexation with transition metals. Modified SAA and PVA polymers with Ni (II) and Zn (II) have been synthesized in order to investigate some transition metal complexes roles in these polymer modifications. The prepared polymeric complexes were confirmed and characterized by FTIR spectroscopy and TGA instrument respectively. The transition metals (Ni and Zn) content was estimated using SEM-EDX analysis.

Urea is the most containing nitrogen substance in the Urine of mammals. It plays an important role in the metabolism of nitrogen containing compounds by animals and human. A Biosensor for Urea was made by immobilizing Urease enzyme and Bromo stain which both obtained from sigma- Aldrich company on the microparticales surface were prepared through encapsulation successively by LBL self- assembly process of polyelectrolyte used PASS & PAH Polymers of eight layers. The size of nanoparticales was (5.05 – 5.87 nm). In other case some of these microparticales were removed there cores by HCL acid and filled with Bromo stain which is sensitive to change in PH. The microparticales were prepared and determined there size, layers under the SEM microscopy. The temperature, PH buffer concentration, Urease enzyme concentration, and enzyme immobilizing procedure were investigated. Microparticales prepared with Urease enzyme gives high sensitive response time 1-2 min. This Biosensor can use to determine the pollution in water and these microparticales made possible Biosensor to carry inside many medical materials in the future.