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1. Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets

2. Exotic t-structures for two-block Springer fibres

3. Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets

4. Spherical DG-functors

5. Orthogonally spherical objects and spherical fibrations

6. Automated optimized parameters for t-distributed stochastic neighbor embedding improve visualization and allow analysis of large datasets

7. On uniqueness of P-twists

8. Bar category of modules and homotopy adjunction for tensor functors

9. On adjunctions for Fourier-Mukai transforms

10. Stability conditions for Slodowy slices and real variations of stability

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