Numerical analysis of industrial electrolytic pickling for cold-rolled flat stainless steel using secondary current dist...
status: accepted
On the use of Machine Learning modeling tools in chemical process and product engineering
Artificial intelligence (AI) and machine learning (ML) methods have gained growing interest in recent decades, and the Chemical Product Engineering (CPE) sector is not exempt. Indeed, these data-driven methods, which have developed greatly thanks to the explosion of data availability and to various technical advances, have succeeded in solving comp...
Exploring the impact of immune response on tumor heterogeneity through mathematical modeling
Published in Exploration of Immunology
Aim: This article presents an investigation into various mathematical models for cell population growth, including tumor cells, and their dynamics. Methods: We classify the models into five categories: exponential, logistic, time-tested, heterogeneous, and immunology. Mathematical modeling provides insights into the development of tumors over time ...
Machine learning model to predict the width of maxillary central incisor from anthropological measurements.
Published in Journal of prosthodontic research
To improve smile esthetics, clinicians should comprehensively analyze the face and ensure that the sizes selected for the maxillary anterior teeth are compatible with the available anthropological measurements. The inter commissural (ICW), interalar (IAW), intermedial-canthus (MCW), interlateral-canthus (LCW), and interpupillary (IPW) widths are us...
The seasons within: a theoretical perspective on photoperiodic entrainment and encoding.
Published in Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology
Circadian clocks are internal timing devices that have evolved as an adaption to the omnipresent natural 24 h rhythmicity of daylight intensity. Properties of the circadian system are photoperiod dependent. The phase of entrainment varies systematically with season. Plastic photoperiod-dependent re-arrangements in the mammalian circadian core pacem...
Mathematical modeling of viral infection and the immune response controlled by the circadian clock.
Published in Journal of biological physics
Time of day affects how well the immune system responds to viral or bacterial infections. While it is well known that the immune system is regulated by the circadian clock, the dynamic origin of time-of-day-dependent immunity remains unclear. In this paper, we studied the circadian control of immune response upon infection of influenza A virus thro...
Application of a New Simulation Training System for Marine Oil Separators
Published in Journal of Physics: Conference Series
Aiming at the problems of the old models of fuel oil and lube oil separators in the existing domestic and foreign marine engine simulators, which can not carry out fault checking training and can not meet the requirements of the existing seafarers’ assessment standards, based on the composition and working principle of Alfa SU type separator, the m...
Mathematical modelling of clonal reduction therapeutic strategies in acute myeloid leukemia
Over the years, the overall survival of older patients diagnosed with acute myeloid leukemia (AML) has not significantly increased. Although standard cytotoxic therapies that rapidly eliminate dividing myeloblasts are used to induce remission, relapse can occur due to surviving therapy-resistant leukemic stem cells (LSCs). Hence, anti-LSC strategie...
Modeling the impact of urban and hospital eco-exposomes on antibiotic-resistance dynamics in wastewaters
The emergence and selection of antibiotic resistance is a major public health problem worldwide. The presence of antibiotic-resistant bacteria (ARBs) in natural and anthropogenic environments threatens the sustainability of efforts to reduce resistance in human and animal populations. Here, we use mathematical modeling of the selective effect of an...
Measuring BIM Implementation: A Mathematical Modeling and Artificial Neural Network Approach
Evaluating the level of Building Information Modeling (BIM) implementation in construction firms is critical yet challenging in the absence of a quantitative method. This study addresses this gap. The study begins with a literature review that identified 27 BIM implementation enablers, followed by interviews with three firms to score their performa...
