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The Numerical Latin Letters (DNLL) dataset consists of Latin numeric letters organized into 26 distinct letter classes, corresponding to the Latin alphabet. Each class within this dataset encompasses multiple letter forms, resulting in a diverse and extensive collection. These letters vary in color, size, writing style, thickness, background, orientation, luminosity, and other attributes, making the dataset highly comprehensive and rich.

Advanced search strategies were employed to retrieve literary information obtained from the Web of Science.The refining criteria comprised: (1) Document type (articles or early access publications), excluding conference papers, book chapters, and editorial materials to prevent keyword co-occurrence interference; (2) Language (English); (3) Time span: January 2013 to March 2023.

This figures show a sequence of photos of puncturing into the zerbrafish embryo. Initially, the tip approached the embryo orthogonally to the slot and punctured into the embryo at the instant that it was in contact with the cell membrane. Subsequently, the USPA caused the tip to retract from the embryo; this process changed the embryo’s position possibly because of the dragging force between the pipette and the membrane [48].

The inquiry into the impact of diverse transitions between cross-reality environments on the user experience remains a compelling research endeavor. 

Existing work often offers fragmented perspectives on various techniques or confines itself to a singular segment of the reality-virtuality spectrum, be it virtual reality or augmented reality.

This study embarks on bridging this knowledge gap by systematically assessing the effects of six prevalent transitions while users remain immersed in tasks spanning both virtual and physical domains.