A customised fetal growth and birthweight standard for Qatar: a population-based cohort study.

Objectives: Customized birthweight centiles have improved the detection of small for gestational age (SGA) and large for gestational age (LGA) babies compared to existing population standards. This study used perinatal registry data to derive coefficients for developing customized growth charts for Qatar.

Methods: The PEARL registry data on women delivering in Qatar (2017-2018) was used to develop a multivariable linear regression model predicting optimal birthweight.

Impact of bariatric surgery on maternal gestational weight gain and pregnancy outcomes in women with obesity: A population-based cohort study from Qatar.

Background: Bariatric surgery is performed in obese women of reproductive age to help achieve a healthy prepregnancy weight to reduce the complications associated with obesity in pregnancy. However, these procedures can impact maternal nutrition and gestational weight gain (GWG). This study evaluates the maternal and neonatal outcomes in women with prepregnancy bariatric surgery and determines the impact on GWG.

Maternal and neonatal outcomes associated with multiple repeat cesarean deliveries: A registry-based study from Qatar.

Background: Cesarean delivery (CD) is associated with increased maternal and neonatal morbidity compared to vaginal delivery, particularly in cases classified as emergency procedures or when there are multiple CDs. This retrospective cohort study aims to examine the incidence of maternal and neonatal complications in women with multiple CDs.

Methods: This study used data from a national perinatal database obtained from a single tertiary maternity care hospital.

Breast Plasmacytoma as Extra-Medullary Lesion of Multiple Myeloma: A Case Report.

Breast plasmacytoma is relatively uncommon in which most of the recorded cases were related to disseminated multiple myeloma. However, many of these cases tend to be misdiagnosed with other breast lesions such as breast carcinoma. This article presents a case study on a Libyan female patient around the age of 55 who has a single breast lump, which was first diagnosed to be a malignant lesion.

Contactless Small-Scale Movement Monitoring System Using Software Defined Radio for Early Diagnosis of COVID-19.

The exponential growth of the novel coronavirus disease (N-COVID-19) has affected millions of people already and it is obvious that this crisis is global. This situation has enforced scientific researchers to gather their efforts to contain the virus. In this pandemic situation, health monitoring and human movements are getting significant consideration in the field of healthcare and as a result, it has emerged as a key area of interest in recent times.

Improving Localization Accuracy: Successive Measurements Error Modeling.

Vehicle self-localization is an essential requirement for many of the safety applications envisioned for vehicular networks. The mathematical models used in current vehicular localization schemes focus on modeling the localization error itself, and overlook the potential correlation between successive localization measurement errors. In this paper, we first investigate the existence of correlation between successive positioning measurements, and then incorporate this correlation into the modeling positioning error.

Data management for the internet of things: design primitives and solution.

The Internet of Things (IoT) is a networking paradigm where interconnected, smart objects continuously generate data and transmit it over the Internet. Much of the IoT initiatives are geared towards manufacturing low-cost and energy-efficient hardware for these objects, as well as the communication technologies that provide objects interconnectivity. However, the solutions to manage and utilize the massive volume of data produced by these objects are yet to mature.