Ali Hasan Ali
@uobasrah.edu.iq
Department of Mathematics
University of Basrah
RESEARCH, TEACHING, or OTHER INTERESTS
Mathematics, Applied Mathematics, Analysis, Computational Mathematics
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Firas Ghanim, Fareeha Sami Khan, Ali Hasan Ali, and Abdon Atangana
Elsevier BV
Marouan Kouki, Saira Shukat, Ikram Ullah, Mohammad Mahtab Alam, and Ali Hasan Ali
Elsevier BV
Muayyad Mahmood Khalil, Siddiq Ur Rehman, Ali Hasan Ali, Rashid Nawaz, and Belal Batiha
Elsevier BV
Jinxing Liu, Muhammad Nadeem, Ali Hasan Ali, Fawziah M. Alotaibi, and Loredana Florentina Iambor
Elsevier BV
Mustafa Inc, Shabbir Hussain, Ali Hasan Ali, Muhammad Sajid Iqbal, Romana Ashraf, Muhammad Akhtar Tarar, and Muhammad Adnan
Springer Science and Business Media LLC
AbstractSolitary wave solutions are of great interest to bio-mathematicians and other scientists because they provide a basic description of nonlinear phenomena with many practical applications. They provide a strong foundation for the development of novel biological and medical models and therapies because of their remarkable behavior and persistence. They have the potential to improve our comprehension of intricate biological systems and help us create novel therapeutic approaches, which is something that researchers are actively investigating. In this study, solitary wave solutions of the nonlinear Murray equation will be discovered using a modified extended direct algebraic method. These solutions represent a uniform variation in blood vessel shape and diameter that can be used to stimulate blood flow in patients with cardiovascular disease. These solutions are newly in the literature, and give researchers an important tool for grasping complex biological systems. To see how the solitary wave solutions behave, graphs are displayed using Matlab.
Ali Hasan Ali, Ali Raza, Belal Batiha, Ahmed M. Abed, and Zaid Ameen Abduljabbar
Elsevier BV
Muhammad Nadeem, Omar Abu Arqub, Ali Hasan Ali, and Husam A. Neamah
Elsevier BV
F. Ghanim, Fareeha Sami Khan, Hiba F. Al-Janaby, and Ali Hasan Ali
Elsevier BV
Saleh S. Redhwan, Tariq A. Aljaaidi, Ali Hasan Ali, Maryam Ahmed Alyami, Mona Alsulami, and Najla Alghamdi
Elsevier BV
Warif B. Bassim, Abdulghafoor J. Salem, and Ali Hasan Ali
Elsevier BV
Zahraa Aamer, Shireen Jawad, Belal Batiha, Ali Hasan Ali, Firas Ghanim, and Alina Alb Lupaş
MDPI AG
Contracting cancer typically induces a state of terror among the individuals who are affected. Exploring how glucose excess, estrogen excess, and anxiety work together to affect the speed at which breast cancer cells multiply and the immune system’s response model is necessary to conceive of ways to stop the spread of cancer. This paper proposes a mathematical model to investigate the impact of psychological panic, glucose excess, and estrogen excess on the interaction of cancer and immunity. The proposed model is precisely described. The focus of the model’s dynamic analysis is to identify the potential equilibrium locations. According to the analysis, it is possible to establish four equilibrium positions. The stability analysis reveals that all equilibrium points consistently exhibit stability under the defined conditions. The transcritical bifurcation occurs when the glucose excess is taken as a bifurcation point. Numerical simulations are employed to validate the theoretical study, which shows that psychological panic, glucose excess, and estrogen excess could be significant contributors to the spread of tumors and weakness of immune function.
Faisal Javed, Aqeel Ahmad, Ali Hasan Ali, Evren Hincal, and Ayesha Amjad
IOP Publishing
Abstract In order to investigate the dynamics of the system, a mathematical model must be created to comprehend the dynamics of various prevalent diseases worldwide. The purpose of this investigation is to explore the early identification and treatment of conjunctivitis adenovirus by introducing vaccination methods for asymptomatic individuals. A mathematical model is constructed with the aim of strengthening the immune system. The ABC operator is then utilized to convert the model into a fractionally ordered one. The developed system is analyzed with analytical solutions by employing Sumudu transforms, including convergence analysis. The boundedness and uniqueness of the model are investigated using Banach space, which are key properties of such epidemic models. The uniqueness of the system is confirmed to ensure it has a unique solution. The stability of the newly constructed SEVIR system is investigated both qualitatively and statistically, and the system’s flip bifurcation has been verified. The developed system is examined through a Lyapunov function-based local and global stability study. The solution to the system is found using the Atangana-Toufik technique, a sophisticated method for reliable bounded solutions, employing various fractional values. Error analysis has also been conducted for the scheme. Simulations have been carried out to observe the real behavior and effects of the conjunctivitis virus, confirming that individuals with a strong immune response can recover without medication during the acute stage of infection. This helps to understand the real situation regarding the control of conjunctivitis adenovirus after early detection and treatment by introducing vaccination measures due to the strong immune response of the patients. Such investigations are useful for understanding the spread of the disease and for developing control strategies based on the justified outcomes.
Ahmed M. Abed, Hamna Shabbir, Niat Nigar, Ali Hasan Ali, and Ali Raza
Elsevier BV
Muhammad Owais Kulachi, Aqeel Ahmad, Evren Hincal, Ali Hasan Ali, Muhammad Farman, and Muhammad Taimoor
Elsevier BV
Ahmed Ali, Shireen Jawad, Ali Hasan Ali, and Matthias Winter
Elsevier BV
Mimoon Ismael, Saba Hat, Osama Alabdali, Showkat Ahmad Lone, and Ali Hasan Ali
Elsevier BV
Ali Raza, Ovidiu V. Stadoleanu, Ahmed M. Abed, Ali Hasan Ali, and Mohammed Sallah
Elsevier BV
Ali Hasan Ali and Zsolt Páles
Elsevier BV
Siddiq Ur Rehman, Rashid Nawaz, Faisal Zia, Nicholas Fewster-Young, and Ali Hasan Ali
Elsevier BV
Ali Raza, Rifaqat Ali, Ali Hasan Ali, Suleman H. Alfalqi, and Kalsoom Chishti
Elsevier BV
Noori Y. Abdul-Hassan, Zainab J. Kadum, and Ali Hasan Ali
MDPI AG
In this paper, we propose a new numerical scheme based on a variation of the standard formulation of the Runge–Kutta method using Taylor series expansion for solving initial value problems (IVPs) in ordinary differential equations. Analytically, the accuracy, consistency, and absolute stability of the new method are discussed. It is established that the new method is consistent and stable and has third-order convergence. Numerically, we present two models involving applications from physics and engineering to illustrate the efficiency and accuracy of our new method and compare it with further pertinent techniques carried out in the same order.
Fareeha Sami Khan, M. Khalid, Ali Hasan Ali, Omar Bazighifan, and F. Ghanim
Elsevier BV
Muhammad Amir, Qasim Ali, Ali Raza, M.Y. Almusawa, Waleed Hamali, and Ali Hasan Ali
Elsevier BV
Ali Hassan Ali, Tarek Zayed, Sulemana Fatoama Abdulai, and Roy Dong Wang
Emerald
PurposeThis study aims to explore the tower crane safety factors (TCSFs) that influence tower crane safe operations (TCSOs) in modular integrated construction (MiC). It evaluates how the adoption of these factors contributes to achieving TCSOs and promoting sustainable practices (SPs) within MiC.Design/methodology/approachTo achieve this aim, the study employed a systematic search to ensure a comprehensive collection of variables. Additionally, it conducted a questionnaire survey involving professionals and utilized a brainstorming technique to categorize the different variables. Finally, partial least squares structural equation modeling (PLS-SEM) was employed to test the relationship between TCSOs and SPs.FindingsThe results of measurement models indicated strong convergent and discriminant validity, with each observed variable correlating well with its latent variable. Moreover, a significant positive correlation between TCSOs and SPs was evidenced by a path coefficient (β = 0.755) and a p-value of <0.05. Lastly, the structural model revealed that the independent variables strongly influence the dependent variable (i.e. SPs) by 57%, underscoring safety's pivotal role in advancing sustainability within MiC projects. These findings provide empirical evidence that improving tower crane safety can directly enhance sustainable practices, offering a dual benefit of increased safety and sustainability for the construction sector.Originality/valueThis study makes a unique and previously undiscovered contribution to the field by identifying the TCSFs in MiC and employing a novel approach by utilizing PLS-SEM to create a unique mathematical model. It offers valuable insights into the relationship between TCSFs, TCSOs and SPs, thus contributing to methodological advancements within Safety Science and providing a foundation for future research and practical implementation in the construction industry.