Background: Neonatal seizures are the most common neurological emergency in newborns, often associated with significant mortality and long-term neurodevelopmental disabilities. The aim is to determine the incidence, etiological causes, and risk factors associated with neonatal seizures.Patients and Methods: This prospective case-control study was conducted over eight months, from January 1 to August 31, 2022, the study was conducted at the neonatal care unit of Children Welfare Teaching Hospital. Neonates who developed clinically recognizable seizures before 28 days of life in term infants, or up to 44 weeks corrected gestational age in preterm infants, were included. Data collection involved demographic information, prenatal, perinatal, and postnatal history, family history, seizure characteristics, physical examination including growth parameters, and relevant laboratory and radiological investigations. Follow-up was conducted two months later via phone interviews.Results: Among 180 neonates included, 50% had seizures while the remaining served as controls. The incidence of seizures among admitted neonates was 7.7%. The three main etiologies were birth asphyxia, infection, and metabolic disorders, each accounting for 25.6% of cases. The mean age at seizure onset was 9.3 ± 9.1 days, with a median of 5 days. Males were more affected (male-to-female ratio 1.57:1), and seizures were more common in term infants. Significant associations were found with family history of neurological disease and neonatal death. Vaginal delivery was more linked to birth asphyxia, while cesarean delivery was associated with neurological malformations. Mortality was three times higher in neonates with seizures.Conclusion: Birth asphyxia, infection, and metabolic disorders are leading causes of neonatal seizures. A positive family history and prematurity increase susceptibility. Early onset may indicate etiology, but seizure type does not predict cause. Seizure presence significantly increases neonatal mortality.
The maximization of the net present value of the investment in oil field improvements is greatly aided by the optimization of well location, which plays a significant role in the production of oil. However, using of optimization methods in well placement developments is exceedingly difficult since the well placement optimization scenario involves a large number of choice variables, objective functions, and restrictions. In addition, a wide variety of computational approaches, both traditional and unconventional, have been applied in order to maximize the efficiency of well installation operations. This research demonstrates how optimization approaches used in well placement have progressed since the last time they were examined. Fol
... Show MoreWorldwide, enormous amounts of waste cause major environmental issues, including scrap tires and plastic, and large waste, a consequence of the demolition of buildings, including crushed concrete, crushed clay bricks, and crushed thermo-stone. From that point, it’s possible to consider that the recycling processes for these materials and using them in the manufacturing field will reduce the adverse effects on the environment of these wastes and the consumption of natural resources. Sustainable concrete blocks can be considered as one of the products produced by using these materials as partial volume replacement of the coarse, fine aggregate, or cement content, considering their dry density, workability, absorption, compressive st
... Show MoreMachine learning models have recently provided great promise in diagnosis of several ophthalmic disorders, including keratoconus (KCN). Keratoconus, a noninflammatory ectatic corneal disorder characterized by progressive cornea thinning, is challenging to detect as signs may be subtle. Several machine learning models have been proposed to detect KCN, however most of the models are supervised and thus require large well-annotated data. This paper proposes a new unsupervised model to detect KCN, based on adapted flower pollination algorithm (FPA) and the k-means algorithm. We will evaluate the proposed models using corneal data collected from 5430 eyes at different stages of KCN severity (1520 healthy, 331 KCN1, 1319 KCN2, 1699 KCN3 a
... Show MoreA study of the hadiths of supplication orchestration
Fiber-to-the-Home (FTTH) has long been recognized as a technology that provides future proof bandwidth [1], but has generally been too expensive to implement on a wide scale. However, reductions in the cost of electro-optic components and improvements in the handling of fiber optics now make FTTH a cost effective solution in many situations. The transition to FTTH in the access network is also a benefit for both consumers and service providers because it opens up the near limitless capacity of the core long-haul network to the local user. In this paper individual passive optical components, transceivers, and fibers has been put together to form a complete FTTH network. Then the implementation of the under construction Baghdad/Al
... Show MoreIn this study, the dynamic modeling and step input tracking control of single flexible link is studied. The Lagrange-assumed modes approach is applied to get the dynamic model of a planner single link manipulator. A Step input tracking controller is suggested by utilizing the hybrid controller approach to overcome the problem of vibration of tip position through motion which is a characteristic of the flexible link system. The first controller is a modified version of the proportional-derivative (PD) rigid controller to track the hub position while sliding mode (SM) control is used for vibration damping. Also, a second controller (a fuzzy logic based proportional-integral plus derivative (PI+D) control scheme) is developed for both vibra
... Show MoreThe main objective of this work is to propose a new routing protocol for wireless sensor network employed to serve IoT systems. The routing protocol has to adapt with different requirements in order to enhance the performance of IoT applications. The link quality, node depth and energy are used as metrics to make routing decisions. Comparison with other protocols is essential to show the improvements achieved by this work, thus protocols designed to serve the same purpose such as AODV, REL and LABILE are chosen to compare the proposed routing protocol with. To add integrative and holistic, some of important features are added and tested such as actuating and mobility. These features are greatly required by some of IoT applications and im
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