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Numerical investigation of singularly perturbed time lag parabolic differential-difference equations.
Heliyon
January 2025
Department of Mathematics, Dilla University, Dilla, Ethiopia.
This paper deals with the numerical investigation of a singularly perturbed parabolic differential-difference equation with a time lag. The proposed method comprises the method ( ) and the non-standard finite difference methods for temporal and spatial variable discretization, respectively. Besides, the Richardson extrapolation technique is employed to boost the accuracy and order of convergence of the scheme.
View Article and Find Full Text PDFGenetic diversity and population structure analysis of 418 tomato cultivars based on single nucleotide polymorphism markers.
Front Plant Sci
December 2024
Guangdong Key Laboratory for New Technology Research of Vegetables, Vegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
Introduction: Tomato () is a highly valuable fruit crop. However, due to the lack of scientific and accurate variety identification methods and unified national standards, production management is scattered and non-standard, resulting in mixed varieties. This poses considerable difficulties for the cataloging and preservation of germplasm resources as well as the identification, promotion, and application of new tomato varieties.
View Article and Find Full Text PDFThe incorporation of MALDI mass spectrometry imaging in studies to identify markers of toxicity following opioid exposures in mouse fetuses.
Front Toxicol
December 2024
National Center for Toxicological Research (FDA), Division of Systems Biology, Jefferson, AR, United States.
Introduction: In 2015, the FDA released a Drug Safety Communication regarding a possible link between opioid exposure during early pregnancy and an increased risk of fetal neural tube defects (NTDs). At the time, the indications for opioid use during pregnancy were not changed due to incomplete maternal toxicity data and limitations in human and animal studies. To assess these knowledge gaps, largescale animal studies are ongoing; however, state-of-the-art technologies have emerged as promising tools to assess otherwise non-standard endpoints.
View Article and Find Full Text PDFStability of a discrete HTLV-1/SARS-CoV-2 dual infection model.
Heliyon
April 2024
Department of Mathematics, Faculty of Science, King Abdulaziz University, P. O. Box 80203, Jeddah 21589, Saudi Arabia.
Dual infection with a virus that targets the immune system, such as HTLV-1 (human T-cell lymphotropic virus class 1), combined with another virus that affects the respiratory system, such as SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), can cause serious disease and even death. Given the significance of better comprehending the dual viral infections' dynamics, researchers have been drawn to mathematical analyses of such models. This work investigates the stability of a discrete HTLV-1/SARS-CoV-2 dual infection model.
View Article and Find Full Text PDFInvestigating the impact of non-standard positioning on the accuracy of skull tracking algorithms using dual-panel imaging systems.
Front Oncol
November 2024
Department of Oncology, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Objective: This study investigates the impact of non-standard positioning on the accuracy of 6D-skull tracking using dual-panel imaging systems. It explores whether positioning patients' heads at various angles during intracranial lesion treatment affects the accuracy of the CyberKnife 6D-skull tracking system.
Materials And Methods: A heterogeneous density skull phantom was used to simulate various patient skull positioning angles.
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