Background: Ruptured uterus is a catastrophic event to both
mother and her fetus. Apart from maternal and fetal mortality
rates, the incidence of rupture of uterus is often taken as an
index of the standard of obstetric care.
Objective: To determine the frequency, causes, management
outcome of ruptured uterus at Al Batool maternity hospital.
Method: The study was conducted in the department of
obstetrics and gynecology at Al Batool maternity hospital
Mosul-Iraq over a period of three years from October 1st 2002
to August 30th 2005. All the cases of uterine rupture presented
during the study period were recorded and managed in the
department. Data was recorded on designed forms.
Results: Thirty nine cases of ruptured uterus out of 44539
deliveries were registered, the incidence was 0.087%. Age
ranged from 15 to45 years. The majority of the patients were
grandmultipara (Para 5 and above), but 7 of the patients were
nulliparous women (17.94%). 26 ruptures (66.66%) occurred
in unscarred uterus and 13 ruptures (33.33%) occurred in
scarred uterus, cephalopelvic disproportion and obstructed
labor were the cause of rupture in 11 cases (28.2%), in
addition to the mentioned causes 11 cases of the uterine
ruptures we registered in our study (28.2%) were mishandled
by the traditional birth attendants, and in 14 cases (35.89%)
there was injudicious use of oxytocin. We had three maternal
deaths (7.69%) out of 39 patients, and only 10 fetuses out of
39(25.64%) were alive.
Conclusion: Rupture uterus is still an important cause of
maternal and perinatal mortality and morbidity in Iraq, it is
not always suspected, and hence increased vigilance is vital.
Further studies may help in the development of preventive
strategies and ensure prompt management to reduce maternal
and perinatal mortality and morbidity
Software-defined networks (SDN) have a centralized control architecture that makes them a tempting target for cyber attackers. One of the major threats is distributed denial of service (DDoS) attacks. It aims to exhaust network resources to make its services unavailable to legitimate users. DDoS attack detection based on machine learning algorithms is considered one of the most used techniques in SDN security. In this paper, four machine learning techniques (Random Forest, K-nearest neighbors, Naive Bayes, and Logistic Regression) have been tested to detect DDoS attacks. Also, a mitigation technique has been used to eliminate the attack effect on SDN. RF and KNN were selected because of their high accuracy results. Three types of ne
... Show MoreBipedal robotic mechanisms are unstable due to the unilateral contact passive joint between the sole and the ground. Hierarchical control layers are crucial for creating walking patterns, stabilizing locomotion, and ensuring correct angular trajectories for bipedal joints due to the system’s various degrees of freedom. This work provides a hierarchical control scheme for a bipedal robot that focuses on balance (stabilization) and low-level tracking control while considering flexible joints. The stabilization control method uses the Newton–Euler formulation to establish a mathematical relationship between the zero-moment point (ZMP) and the center of mass (COM), resulting in highly nonlinear and coupled dynamic equations. Adaptiv
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... Show MoreWe aimed to obtain magnesium/iron (Mg/Fe)-layered double hydroxides (LDHs) nanoparticles-immobilized on waste foundry sand-a byproduct of the metal casting industry. XRD and FT-IR tests were applied to characterize the prepared sorbent. The results revealed that a new peak reflected LDHs nanoparticles. In addition, SEM-EDS mapping confirmed that the coating process was appropriate. Sorption tests for the interaction of this sorbent with an aqueous solution contaminated with Congo red dye revealed the efficacy of this material where the maximum adsorption capacity reached approximately 9127.08 mg/g. The pseudo-first-order and pseudo-second-order kinetic models helped to describe the sorption measure