Phylogenetic and molecular analysis of hemagglutinin gene and Fsp-coding region of canine distemper virus: Insight into novel vaccine development.

Canine distemper virus (CDV) causes a highly contagious and lethal disease in a vast range of carnivorous and non-carnivorous species. The study aimed to genetically investigate the hemagglutinin (H) gene and Fsp-coding region of CDV isolates from vaccinated dogs. Phylogenetic analysis of the H gene and Fsp-coding region showed that our viruses belonged to the Arctic-like lineage which was distinct from two commonly used vaccine strains (America-1 lineage strains) in Iran.

Advanced remote focus control in multicore meta-fibers through 3D nanoprinted phase-only holograms.

In this study, we present an unexplored approach for remote focus manipulation using 3D nanoprinted holograms integrated on the end face of multi-core single-mode fibers. This innovative method enables precise focus control within a monolithic metafiber device by allowing light coupled into any of the 37 cores to be precisely focused at predefined locations. Our approach demonstrates significant advances over conventional lenses and offers unique functionalities through computationally designed holograms.

A Systematic Review of the Outcomes of Utilization of Artificial Intelligence Within the Healthcare Systems of the Middle East: A Thematic Analysis of Findings.

Background And Aims: The rapid expansion of artificial intelligence (AI) within worldwide healthcare systems is occurring at a significant rate. In this context, the Middle East has demonstrated distinctive characteristics in the application of AI within the healthcare sector, particularly shaped by regional policies. This study examined the outcomes resulting from the utilization of AI within healthcare systems in the Middle East.

Optimisation of railway tamping scheduling.

This research was devoted to optimising opportunistic tamping scheduling to present a cost-effective approach that considers both preventive and corrective tamping activities. To achieve this, we formulated the track geometry tamping scheduling problem as a mixed integer linear programming model and employed a genetic algorithm for its resolution. Key track quality indicators, including the standard deviation of the longitudinal level and single defects, were considered.