Maternal and perinatal outcomes of COVID-19 vaccination during pregnancy.

Objective: To investigate maternal adverse effects and perinatal and neonatal outcomes of women receiving coronavirus disease-2019 (COVID-19) vaccination during pregnancy.

Material And Methods: Seven hundred and sixty pregnant women who were followed up in obstetrics outpatients were included in this prospective cohort study. COVID-19 vaccination and infection histories of the patients were recorded.

Magnetic field mapping of inaccessible regions using physics-informed neural networks.

A difficult problem concerns the determination of magnetic field components within an experimentally inaccessible region when direct field measurements are not feasible. In this paper, we propose a new method of accessing magnetic field components using non-disruptive magnetic field measurements on a surface enclosing the experimental region. Magnetic field components in the experimental region are predicted by solving a set of partial differential equations (Ampere's law and Gauss' law for magnetism) numerically with the aid of physics-informed neural networks (PINNs).

Effect of Obesity on Clinical Parameters and Pregnancy Rates in Women with Polycystic Ovary Syndrome Undergoing Ovulation Induction Cycles.

OBJECTIVE: To evaluate the effect of obesity on clinical parameters and pregnancy rates in infertile women with polycystic ovary syndrome (PCOS), who have undergone ovulation induction. STUDY DESIGN: This retrospective study included 177 women with PCOS who presented to our gynecological endocrinology outpatient clinic for diagnosed infertility. All of the patients initially received clomiphene citrate (CC), and if CC resistance was noted, gonadotropins were used.