Results 121 to 130 of about 173,472,529 (256)
OBJECTIVE: Aim of this study is to criticize the women with postpartum hemorrhage due to uterine atony after vaginal delivery. STUDY DESIGN: This was a retrospective analysis performed in Şanlıurfa Maternity Hospital, from September 2008 to August 2010.
Fazilet Kübra Boynukalın +1 more
doaj
760: Increasing maternal obesity: Predictor for failed induction of labor? [PDF]
Brock E. Polnaszek +4 more
openaire +1 more source
This study establishes perineural invasion density (PNID) as a superior prognostic marker in prostate cancer, outperforming conventional perineural invasion in predicting biochemical recurrence and radiographic progression. Concurrent β–blocker use is associated with favorable outcomes exclusively in High–PNID patients. An MRI–based deep learning model
Bohao Liu +20 more
wiley +1 more source
Background: Induction of labor is an increasingly being done obstetric procedure throughout the world. It is carried out in approximately 20% of all pregnancies. It is associated with poorer outcomes when compared with spontaneous labor. Objective: To
Bekana Fekecha +2 more
core
AbstrakKetuban pecah dini (KPD) adalah pecahnya selaput ketuban sebelum persalinan dimulai. Semakin lama ketuban pecah semakin besar risiko terjadinya infeksi yang menyebabkan terjadinya pelepasan prostaglandin dan IL (interleukin). Tujuan penelitian ini
Juan Habli Soufal +2 more
doaj
Background Labor induction is widely used in term pregnancies; however, accurately predicting induction success remains challenging, particularly in nulliparous women with unfavorable cervical conditions.
Mehmet Can Keven +11 more
doaj +1 more source
Neutron depth profiling exploits the 6Li(n,3H)4He reaction to provide quantitative, isotope‐specific, depth‐resolved maps of lithium inside operating lithium‐ion batteries, directly linking lithium transport, dendrite growth and interfacial short‐circuiting to a physics‐informed machine‐learning roadmap that turns this non‐destructive operando ...
Yulong Zhang +8 more
wiley +1 more source
"1.16.2018." Presentation before the Kansas Legislature, House Committee on Commerce, Labor and Economic Development, presented by Lana Gordon, Secretary of Labor, Kansas Department of Labor.
Gordon, Lana.
core
Refined data are extracted from CIF files to construct a hierarchical machine‐learning framework integrating sublattice classification, Fe‐site occupancy prediction, and reliability assessment. External validation yields 96% accuracy for sublattice classification and a macro mean absolute error of 0.0584 for Fe‐site prediction.
Dan Liu +9 more
wiley +1 more source
This review compares NO3− + CO2 and N2 + CO2 electrocatalytic urea synthesis in feedstock properties, catalyst design, C–N coupling mechanisms, performance optimization, and engineering applicability. The two systems correspond to a near‐term deployable route and a long‐term green synthesis goal, respectively.
Fulin Dong +5 more
wiley +1 more source

