The effect of serum uric acid in hospitalised patients with acute coronary syndrome in Al-Yarmouk Teaching Hospital.

Objective: To evaluate the efficacy of serum uric acid on inpatient morbidity and mortality among acute coronary syndrome patients.

Methods: The hospital-based study was conducted in the Coronary Care Unit of Al-Yarmouk Teaching Hospital, Baghdad, Iraq, from June 1, 2019, to February 28, 2020, and comprised acute coronary syndrome patients of either gender aged >18 years. Other than the demographics, data was collected on echocardiography findings, cardiac markers and serum uric acid level.

The prognostic effect of hyponatraemia in determining mortality in patients with heart failure hospitalised in AL-Yarmouk Teaching Hospital.

Objective: To assess the prognostic effect of hyponatraemia in determining mortality in patients with heart failure.

Methods: The prospective observational study was conducted at the Internal Medicine Unit of Al-Yarmouk Teaching Hospital, Baghdad, Iraq, from September 1, 2019, to February 1, 2020, and comprised adult patients of either gender who were hospitalised due to heart failure and left ventricular ejection fraction <49% at admission. The endpoint was inpatient mortality from the index hospitalisation for decompensated heart failure according to the serum sodium levels.

The impact of artificial intelligence and digital style on industry and energy post-COVID-19 pandemic.

The SARS-CoV-2 virus caused crises in social, economic, and energy areas and medical life worldwide throughout 2020. This crisis had many direct and indirect effects on all areas of society. In the meantime, the digital and artificial intelligence industry can be used as a professional assistant to manage and control the outbreak of the virus.

Studying the Effect of Taking Statins before Infection in the Severity Reduction of COVID-19 with Machine Learning.

Statins can help COVID-19 patients' treatment because of their involvement in angiotensin-converting enzyme-2. The main objective of this study is to evaluate the impact of statins on COVID-19 severity for people who have been taking statins before COVID-19 infection. The examined research patients include people that had taken three types of statins consisting of Atorvastatin, Simvastatin, and Rosuvastatin.

Experimental and numerical diagnosis of fatigue foot using convolutional neural network.

Fatigue is an essential criterion for physiotherapy in injured athletes. Muscle fatigue mechanism also is a crucial matter in designing a workout program. It is mainly related to physical injury, cerebrovascular accident, spinal cord injury, and rheumatologic disease.

HSSAGA: Designation and scheduling of nurses for taking care of COVID-19 patients using novel method of Hybrid Salp Swarm Algorithm and Genetic Algorithm.

The COVID-19 pandemic is viewed as the most basic worldwide disaster that humankind has observed since the second World War. There is no report of any clinically endorsed antiviral medications or antibodies that are successful against COVID-19. It has quickly spread everywhere, presenting tremendous well-being, financial, ecological, and social difficulties to the whole human populace.

Revealing the relationship between solar activity and COVID-19 and forecasting of possible future viruses using multi-step autoregression (MSAR).

The number of sunspots shows the solar activity level. During the high solar activity, emissions of matter and electromagnetic fields from the Sun make it difficult for cosmic rays to penetrate the Earth. When solar energy is high, cosmic ray intensity is lower, so that the solar magnetic field and solar winds affect the Earth externally and originate new viruses.

QAIS-DSNN: Tumor Area Segmentation of MRI Image with Optimized Quantum Matched-Filter Technique and Deep Spiking Neural Network.

Tumor segmentation in brain MRI images is a noted process that can make the tumor easier to diagnose and lead to effective radiotherapy planning. Providing and building intelligent medical systems can be considered as an aid for physicians. In many cases, the presented methods' reliability is at a high level, and such systems are used directly.

Detection of brain lesion location in MRI images using convolutional neural network and robust PCA.

Detection of brain tumors plays a critical role in the treatment of patients. Before any treatment, tumor segmentation is crucial to protect healthy tissues during treatment and to destroy tumor cells. Tumor segmentation involves the detection, precise identification, and separation of tumor tissues.

Presentation of a developed sub-epidemic model for estimation of the COVID-19 pandemic and assessment of travel-related risks in Iran.

The COVID-19 pandemic is one of the contagious diseases involving all the world in 2019-2020. Also, all people are concerned about the future of this catastrophe and how the continuous outbreak can be prevented. Some countries are not successful in controlling the outbreak; therefore, the incidence is observed in several peaks.

Investigation of Microwave Absorption Performance of CoFeO/NiFeO/Carbon Fiber Composite Coated with Polypyrrole in X-Band Frequency.

The current research reports the preparation of a microwave absorber containing CoFeO/NiFeO/Carbon fiber (H/S/CF) coated with polypyrrole polymer (PPy@H/S/CF) through sol-gel and in-situ polymerization processes. X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), vibrating sample magnetometer (VSM), and a vector network analyzer (VNA) are utilized to evaluate the features of the prepared composite. The microstructure analysis results revealed carbon fibers well decorated with submicron-size particles having hard/soft magnetic phases and thoroughly coated with polymer.

Diagnosis and detection of infected tissue of COVID-19 patients based on lung x-ray image using convolutional neural network approaches.

COVID-19 pandemic has challenged the world science. The international community tries to find, apply, or design novel methods for diagnosis and treatment of COVID-19 patients as soon as possible. Currently, a reliable method for the diagnosis of infected patients is a reverse transcription-polymerase chain reaction.

Investigation of effective climatology parameters on COVID-19 outbreak in Iran.

SARS CoV-2 (COVID-19) Coronavirus cases are confirmed throughout the world and millions of people are being put into quarantine. A better understanding of the effective parameters in infection spreading can bring about a logical measurement toward COVID-19. The effect of climatic factors on spreading of COVID-19 can play an important role in the new Coronavirus outbreak.

Numerical Simulation of Magnetic Drug Targeting to the Stenosis Vessel Using FeO Magnetic Nanoparticles Under the Effect of Magnetic Field of Wire.

Purpose: In the present paper, the magnetic drug targeting using drug coated FeO nanoparticles to the stenosis region of the vessel was investigated. The problem was solved for various magnetic numbers. Moreover, the effect of the location of the wire, as a magnetic source, on the MDT was studied.

Microalbuminuria and left ventricular hypertrophy in patients with essential hypertension.

Objective: To assess the relationship between microalbuminuria and left ventricular hypertrophy in patients with essential hypertension.

Methods: The case-control study was conducted at Al-Yarmouk Teaching Hospital, Baghdad, Iraq, from June 1 to December 31, 2016, and comprised patients with essential hypertension. Based on echocardiography, the patients were divided into 2 equal groups of those with and without left ventricular hypertrophy.

Modeling and sensitivity analysis of NOx emissions and mechanical efficiency for diesel engine.

This paper involves discovering effective and better reaction of the diesel engine at various velocities by having ideal values in a short period. Therefore, gene expression programming is used for modeling and presenting governing expression for the related factors. The effective parameters consist of engine speed, intake air temperature, rate of air over fuel, fuel mass, NOx emission, mechanical efficiency, and immediate infusion diesel engine used as a part of demonstrating.