The rapid increase in the number of older people with Alzheimer’s disease (AD) and other forms of dementia represents one of the major challenges to the health and social care systems because of a large number of people affected. Early detection of AD makes it possible for patients to access appropriate services and to benefit from new treatments and therapies, as and when they become available, and to plan for the future. The onset of AD starts many years before the clinical symptoms become clear. A biomarker that can measure the brain changes in this period would be useful for early diagnosis of AD. Potentially, the electroencephalogram (EEG) can play a valuable role in early detection of AD. Damage caused to the brain due to AD leads to changes in the information-processing activity of the brain which can be quantified by the EEG and used as a biomarker of AD.EEG provides useful insight into brain functions and can play a useful role as the first line of a decisionsupport tool for early detection and diagnosis of dementia. It is non-invasive, low-cost and has a high temporal resolution. EEG is suitable to develop a tool can be used in general practice to detect people at high risk of AD. Tsallis Entropy (TsEn) [1], changes in the EEG amplitude (ΔEEGA) [2], and Higuchi fractal dimension (HFD) [3] have been shown to be the most promising methods for quantifying changes in the EEG due to AD. In this study, we analyzed the efficacy of using EEG biomarkers of AD extracted from these three promising methods. The results show that AD patients have a significant reduction in TsEn, ΔEEGA, and HFD values. This reduction is significant enough to allow the discrimination between AD patients and normal subjects based on these biomarkers
In this paper, an eco-epidemiological model with media coverage effects is established and studied. An -type of disease in predator is considered. All the properties of the solution of the proposed model are discussed. An application to the stability theory was carried out to investigate the local as well as global stability of the system. The persistence conditions of the model are determined. The occurrence of local bifurcation in the model is studied. Further investigation of the global dynamics of the model is achieved through using a numerical simulation.
The features of the actor's performance in the ritual theater are of great importance and chief in theatrical work since the first emergence of the theater, as the features of the performance were embodied in all Iraqi theatrical performances, but they took personal privacy in some ritual performances because of their differences and similarities between the ritual theatrical performance and the ritual show Al-Khalis, who wanted the researcher to know the similarities and differences in the features of the ritual performance and in the theatrical performance, despite the many transformations that occurred in the theater and affected the features of the performance, but it remained an important and attractive link between the recipient, t
... Show MoreThe culture of theatre performance has a vital role in the process of reading the linguistic and visual signs of the performance. And the process of transforming a theatre performance from its original context into a new hosting cultural context starts from the actual reading of the text. Directors derives their new signs out of his personal culture, depending on the society where they lives and the culture that forms the social conventions, traditions and beliefs. The text is usually written within its own historical and temporal culture. The process of its production usually takes it away from its original culture, when it interprets the codes of the original writer and their visual and linguistic signs and instils new alternative sign
... Show MoreThis study was designed to evaluate the effect of major surgery on thyroid hormones and thyrotropin in patient undergoing major lower abdominal surgery. The study included fifty patients scheduled for elective major lower abdominal surgery, the serum levels of T3, T4 and TSH were determined one day preoperatively, intraoperative, one day postoperatively, two days postoperatively, and rT3 was determined one day preoperatively, and one day postoperatively. We observed that the levels of (T3, T4, TSH) increased significantly (P<0.05) intraoperatively, one day postoperatively the levels of T3 and T4 reduced significantly (P<0.05), while TSH reduced not significantly (P>0.05), and two days postoperatively T4 and TSH returned to increase si
... Show MoreThyroid disease is a common disease affecting millions worldwide. Early diagnosis and treatment of thyroid disease can help prevent more serious complications and improve long-term health outcomes. However, thyroid disease diagnosis can be challenging due to its variable symptoms and limited diagnostic tests. By processing enormous amounts of data and seeing trends that may not be immediately evident to human doctors, Machine Learning (ML) algorithms may be capable of increasing the accuracy with which thyroid disease is diagnosed. This study seeks to discover the most recent ML-based and data-driven developments and strategies for diagnosing thyroid disease while considering the challenges associated with imbalanced data in thyroid dise
... Show MoreThe effect of mental and physical health on the feelings of subject welfare is known as health-related quality of life. The chronic obstructive pulmonary disease is a common respiratory diseases. Assessment of health-related quality of life is considered important in such chronic disease. The objective of the current study was to measure health-related quality of life in a sample of chronic obstructive pulmonary patients in AL- Diwanyia city/Iraq. This study was carried out on 150 already diagnosed COPD patients who attended to the Center of Respiratory Diseases/AL-Diwaniyah Teaching Hospital during September 2019 to January 2020. The Arabic version of St George’s Respiratory Questionnaire was used to asses
... Show MoreBackground: Native chest Computed Tomography (CT) is a quick, non-invasive and practical investigation & plays an important role in evaluation of Coronavirus Disease 2019.
Objective: to describe the chest CT findings in patients with confirmed coronavirus disease 2019 (COVID-19) in sample from Baghdad population.
Patients & methods: Study sample consisted of 55 patients with laboratory confirmed COVID-19 from 1st March through 15th April 2020. Native chest CT was performed in radiology departments in Medical City Teaching Complex (MCTH). The chest CT images were reviewed & analyzed.
Results: The most frequent CT findings were ground-glass opacities (47.3%) & mixed ground glass
... Show MoreBackground: One of the strongest risk factors for breast cancer is high breast density, relatively little fat in the breast and more connective and glandular tissue.
Objectives: this study aims to measure risk of increase breast density in correlation of CA breast & compare our results with results in other population, to compare the performance of ultrasonography and mammography in measuring breast density according to BIRDS system
Materials &methods: The study included 45 females .Measuring risk of increase breast density in correlation of CA breast & comparing the performance of ultrasonography and mammography in measuring breast density according to BIRADS system.
Results : there is stron
The paper proposes a methodology for predicting packet flow at the data plane in smart SDN based on the intelligent controller of spike neural networks(SNN). This methodology is applied to predict the subsequent step of the packet flow, consequently reducing the overcrowding that might happen. The centralized controller acts as a reactive controller for managing the clustering head process in the Software Defined Network data layer in the proposed model. The simulation results show the capability of Spike Neural Network controller in SDN control layer to improve the (QoS) in the whole network in terms of minimizing the packet loss ratio and increased the buffer utilization ratio.
Background: Cardiovascular complications represent one of the consequences of chronic autoimmune diseases such as Systemic Lupus Erythematosus (SLE), which has significant rates of morbidity and mortality. Dyslipidemia can be brought on by steroid medications, which are frequently given to SLE patients and are considered to be one of the major risk factors for cardiovascular diseases.
Objectives: This study attempted to investigate a potential association between circulating vascular cell adhesion molecule 1 (VCAM-1) and intercellular adhesion molecule 1 (ICAM-1) as risk factors for atherosclerosis and their relationship to cardiovascular risk.
Patients and methods: A total
... Show More