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1. Chebyshev Based Spectral Representations of Neutron-Star Equations of State

2. Parametric Representations of Neutron-Star Equations of State With Phase Transitions

3. Facial Emotion Recognition and Social-Emotional Problems in Middle Childhood: Assessment of Directional Effects

4. Neural Simulation-Based Inference of the Neutron Star Equation of State directly from Telescope Spectra

5. COVID-19 vaccination-related delayed adverse events among people with rheumatoid arthritis: results from the international COVAD survey

8. Solving the Einstein Constraints Numerically on Compact Three-Manifolds Using Hyperbolic Relaxation

9. Building Three-Dimensional Differentiable Manifolds Numerically II: Limitations

10. Breakthrough SARS-CoV-2 infection in fully vaccinated patients with systemic lupus erythematosus: results from the COVID-19 Vaccination in Autoimmune Disease (COVAD) study

11. Understanding the genetic complexity of puberty timing across the allele frequency spectrum

13. An unbiased ranking of murine dietary models based on their proximity to human metabolic dysfunction-associated steatotic liver disease (MASLD)

15. Improved Upper Limits on Gravitational Wave Emission from NS 1987A in SNR 1987A

16. Deducing neutron star equation of state from telescope spectra with machine-learning-derived likelihoods

17. Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in Israel

18. Creating a safe space: medical students’ perspectives on using actor simulations for learning communication skills

19. How Is Mental Health Associated with Adolescent Alpha-Amylase and Cortisol Reactivity and Coordination?

20. A Likelihood Ratio Approach for Utilizing Case‐Control Data in the Clinical Classification of Rare Sequence Variants: Application to BRCA1 and BRCA2

24. Incidences of colorectal adenomas and cancers under colonoscopy surveillance suggest an accelerated “Big Bang” pathway to CRC in three of the four Lynch syndromes

25. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes

27. Allometric versus traditional body-shape indices and risk of colorectal cancer: a Mendelian randomization analysis

29. Universal testing in endometrial cancer in Sweden

30. Experiences and preferences of people with stroke and caregivers, around supports provided at the transition from hospital to home: a qualitative descriptive study

31. Intensive care unit-acquired infections more common in patients with COVID-19 than with influenza

32. Lifestyle counseling in patients with hypertension in primary health care and its association with antihypertensive pharmacotherapy

33. Feasibility, Fidelity and Acceptability of a Person‐Centred Care Transition Support Intervention for Stroke Survivors: A Non‐Randomised Controlled Study

34. Steep uphill cycling using repeated transitions between seated and standing positions results in a lower blood-lactate concentration than continuous use of either seated or standing position

35. Vieraanvaraisuus on osa matkailijoiden palvelukokemusta

40. Deducing Neutron Star Equation of State Parameters Directly From Telescope Spectra with Uncertainty-Aware Machine Learning

43. Publisher Correction: Understanding the genetic complexity of puberty timing across the allele frequency spectrum

45. Incidences of colorectal adenomas and cancers under colonoscopy surveillance suggest an accelerated 'Big Bang' pathway to CRC in three of the four Lynch syndromes

46. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes

47. Association between general self-efficacy and health literacy among stroke survivors 1-year post-discharge: a cross-sectional study

48. Simple Numerical Solutions to the Einstein Constraints on Various Three-Manifolds

49. First Constraining Upper Limits on Gravitational Wave Emission from NS 1987A in SNR 1987A

50. Deducing neutron star equation of state parameters directly from telescope spectra with uncertainty-aware machine learning

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