Vol. 1 No. 1 (2023)
This issue presents interdisciplinary research bridging mathematical sciences, econometrics, biomedical applications, veterinary medicine, and artificial intelligence in medical imaging. The published studies provide analytical reviews of econometric methods and regression analysis in marketing research and explore the conceptual and structural connections between pure mathematics and applied fields such as dental implants and biological sciences.
The issue further introduces a two-dimensional mathematical model for conductive fluid analysis using finite element numerical methods. Advances in differential diagnosis and treatment approaches for equine navicular syndrome are also examined.
From a public health and medical technology perspective, the impact of stress and anxiety on COVID-19 incidence among callers to the national health hotline (4030) is analyzed, and deep learning–based methods for brain tumor detection using MRI images are evaluated.
All contributions have undergone a rigorous peer-review process and aim to strengthen the integration of mathematical modeling, data analytics, and intelligent systems within biomedical, economic, and applied scientific research domains.
