First-trimester Doppler Ultrasound for Predicting Successful Management of Pregnancy with Recurrent Pregnancy Losses Due to Antiphospholipid Syndrome and Thrombophilia: A Cohort Study.

Background: Recurrent pregnancy loss (RPL) often stems from a hypercoagulable state that exacerbates conditions such as antiphospholipid syndrome (APS) and thrombophilia, leading to early placental issues. Although treatments such as low-molecular-weight heparin (LMWH) and low-dose aspirin (LDA) are used, outcomes vary. This study proposes using first-trimester Doppler ultrasound - specifically, uterine radial artery resistance index (URa-RI) at 8 weeks and uterine artery pulsatility index (Ut-PI) with pre-diastolic notching (Ut-notch) at 11-13 weeks - to better predict successful pregnancies and reduce risks of adverse outcomes.

Design and Evaluation of a Cloud Computing System for Real-Time Measurements in Polarization-Independent Long-Range DAS Based on Coherent Detection.

CloudSim is a versatile simulation framework for modeling cloud infrastructure components that supports customizable and extensible application provisioning strategies, allowing for the simulation of cloud services. On the other hand, Distributed Acoustic Sensing (DAS) is a ubiquitous technique used for measuring vibrations over an extended region. Data handling in DAS remains an open issue, as many applications need continuous monitoring of a volume of samples whose storage and processing in real time require high-capacity memory and computing resources.

Who actualizes postpartum contraceptive intentions? A trajectory cluster analysis.

Contraceptive intention is an important woman-centered indicator for family planning. Yet, few studies have examined the determinants of women or couples actualizing their contraceptive intentions. We leverage panel data from the Performance Monitoring for Action (PMA) survey in Ethiopia to examine these dynamics among a pregnancy cohort, over the first year postpartum.

Managing and Minimizing Online Survey Questionnaire Fraud: Lessons from the Triple C Project.

With the increasing sophistication of online survey tools and the necessity of distanced research during the COVID-19 pandemic, the use of online questionnaires for research purposes has proliferated. Still, many researchers undertake online survey research without knowledge of the prevalence and likelihood of experiencing survey questionnaire fraud nor familiarity with measures used to identify fraud once it has occurred. This research note is based on the experience of researchers across four sites who implemented an online survey of families' experiences with COVID-19 in the U.