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1. Comportamientos intrínseco y extrínseco de piezocerámicas

2. Evolutionary timeline of a modeled cell

6. Can we use machine learning to improve the interpretation and application of urodynamic data?: ICI-RS 2023

7. Can we use machine learning to improve the interpretation and application of urodynamic data?: International Consultation on Incontinence-Research Society 2023

8. Which parameters, related to the female urethra and pelvic floor, determine therapy selection for recurrent female stress urinary incontinence: ICI‐RS 2023?

9. Can we use machine learning to improve the interpretation and application of urodynamic data?: ICI‐RS 2023.

12. Relaxor ferroelectric behavior and structural aspects of SrNaBi2Nb3O12 ceramics

16. Depressive symptoms in pregnant women with high trait and state anxiety during pregnancy and postpartum

17. The effect of sonication on the photoluminescence property of carbon quantum dots synthesized by hydrothermal route.

21. Psychometric Properties and Correlates of Precarious Manhood Beliefs in 62 Nations

23. Gendered Self-Views Across 62 Countries: A Test of Competing Models

27. Wspieranie os��b starszych. Przewodnik dla praktyka

28. Design and Implementation of a 2.4-GHz Fully Integrated Butler Matrix for Smart Antenna System.

29. GRANULACIÓN POR FUSIÓN EN MEZCLADORES GRANULADORES DE ALTA VELOCIDAD MELT GRANULATION IN HIGH SHEAR MIXER

33. 24-month Real-World Study of Spinal Cord Stimulation in Failed Back Surgery Patients with Refractory Pain

34. Psychometric Properties and Correlates of Precarious Manhood Beliefs in 62 Nations

41. Country-level and individual-level predictors of men's support for gender equality in 42 countries

42. Effect of Cosurfactant in the Electrochemical Response of Reverse Microemulsions Formed by the AOT+Pentanol/Isooctane/Solution of [Fe(CN)6]3− System: A Cyclic Voltammetry and Electrochemical Impedance Spectroscopy Study

43. MELT GRANULATION IN HIGH SHEAR MIXER

50. Capturing variation impact on molecular interactions in the IMEx Consortium mutations data set

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