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1. A cleanroom in a glovebox

   https://doi.org/10.1063/5.0006462  

   Gray, Mason J.; Kumar, Narendra; O’Connor, Ryan; Hoek, Marcel; Sheridan, Erin; Doyle, Meaghan C.; Romanelli, Marisa L.; Osterhoudt, Gavin B.; Wang, Yiping; Plisson, Vincent; et al (July 2020, Review of Scientific Instruments)
2. A note on a Newtonian approximation in a Schwarzschild background

   BENSON, B. A.; DISCONZI, M. M. (April 2018, African physical reviews)

   We consider a (very) simple version of the restricted three body problem in general relativity. The background geometry is given by a Schwarzschild solution governing the motion of two bodies of masses $$m_1$$ and $$m_2$$. We assume that corrections to the trajectory of the body of mass $$m_1$$ due to the presence of the mass $$m_2$$ are given by a Newtonian approximation where Poisson's equation is solved with respect to the Schwarzschild background geometry. Under these assumptions, we derive approximate equations of motion for the corrections to the trajectory of the body of mass $$m_1$$. 

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3. A note on a swirling squirmer in a shear-thinning fluid

   https://doi.org/10.1063/5.0029068  

   Nganguia, H.; Zheng, K.; Chen, Y.; Pak, O. S.; Zhu, L. (November 2020, Physics of Fluids)
4. A Tsuji burner in a counterflow

   https://doi.org/10.1080/13647830.2022.2036374  

   Li, Brandon; Sánchez, Antonio L.; Williams, Forman A. (June 2022, Combustion Theory and Modelling)
5. A polyhedral reconstruction of a 3D object from a chain code and a low-density point cloud

   https://doi.org/10.1007/s11042-025-20770-w  

   Tapia-Dueñas, Osvaldo_A; López, Hiram_H; Sánchez-Cruz, Hermilo (March 2025, Multimedia Tools and Applications)

   Abstract The manipulation of 3D objects is becoming crucial for many applications, such as health, industry, or entertainment, to mention some. However, these 3D objects require substantial energy and different types of resources. With the goal of obtaining a simplified representation of a 3D object that can be easily managed, for example, for transmission, in some recent works, the authors associate low-density point clouds with a 3D object that simplifies the original 3D object. More precisely, given a 3D object in a polyhedral format, some authors associate a chain code and then use grammar-free context to obtain key points that give rise to several point clouds with different densities. In this work, we complete the cycle by developing a polyhedral reconstruction from an associated low-density point cloud and the chain code. The polyhedral reconstruction is crucial for handling 3D objects because it allows us to visualize them after they are efficiently compressed and transmitted. We apply our algorithms to well-known 3D objects in the literature. We use the Hausdorff and Chamfer distances to compare our results with the state-of-the-art proposals. We show how our proposed polyhedral reconstruction based on a helical chain code reconstructs a medical image represented or transmitted by slices into a 3D object in a polyhedral format, helping thus to mitigate and alleviate the management of 3D medical objects. The polyhedron that we propose provides better compression when compared with the original set of slices of a 3D medical object. 

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