BACKGROUND: Cough-variant asthma (CVA) is a type of asthma in which the main symptom is a dry, non-productive cough. OBJECTIVE: The objective of the study was to evaluate the therapeutic effect of Montelukast in CVA and to investigate the prevalence of Montelukast in CVA. METHODS: A cross-sectional study was conducted on 30 patients with chronic cough at least 8 weeks using Montelukast at Al-Kindy Hospital over the period of January 2018‒March 2018. An interview using questionnaire was used to collect the data that were specifically prepared to meet the objective of study including age, sex, associated disease, exacerbation factors, and classical therapy. RESULTS: There was a reduction of the symptoms associated

ABSTRACTBackground Subclinical hypothyroidism is mild thyroid hormone deficiency, defined by elevation of serum thyroid-stimulating hormone concentration despite a normal free T3, free T4 level, can be distinguished by clinical and circumstantial observations from other conditions that cause this constellation of laboratory findings. The aim is to find the prevalence, anthropologic, and metabolic changes associate subclinical hypothyroidism(SH) in adult patients presented to obesity research and therapy unit (ORTU Objective: To find the prevalence of subclinical hypothyroidism (SH) in adult obese patients presented to obesity research and therapy unit (ORTU) in AL-Kindy College of medicine and to describe the anthropologic and metabolic

Correlation equations for expressing the boiling temperature as direct function of liquid composition have been tested successfully and applied for predicting azeotropic behavior of multicomponent mixtures and the kind of azeotrope (minimum, maximum and saddle type) using modified correlation of Gibbs-Konovalov theorem. Also, the binary and ternary azeotropic point have been detected experimentally using graphical determination on the basis of experimental binary and ternary vapor-liquid equilibrium data.

            In this study, isobaric vapor-liquid equilibrium for two ternary systems: “1-Propanol – Hexane – Benzene” and its binaries “1-Propanol –

Lost circulation or losses in drilling fluid is one of the most important problems in the oil and gas industry, and it appeared at the beginning of this industry, which caused many problems during the drilling process, which may lead to closing the well and stopping the drilling process. The drilling muds are relatively expensive, especially the muds that contain oil-based mud or that contain special additives, so it is not economically beneficial to waste and lose these muds. The treatment of drilling fluid losses is also somewhat expensive as a result of the wasted time that it caused, as well as the high cost of materials used in the treatment such as heavy materials, cement, and others. The best way to deal with drilling fluid losses

Exogenous levothyroxine dose modulation and euthyroidism achievement is a persistent challenge in clinical settings. This study strives to assess the adequacy of treatment and identify the patients’ factors that can be used to estimate the euthyroid levothyroxine dose. A secondary objective was to assess vitamin D supplementation impact on thyroid status.

A review of a prospectively collected information from 142 female patients from Baghdad Center of Nuclear Medicine from June 2019 until March 2020 who were receiving levothyroxine for different causes was done. After a follow-up period, the patients’ thyroid tests were assessed and the euthyroid doses for each cause category were statistically analyzed. Thyroid function was

After the outbreak of COVID-19, immediately it converted from epidemic to pandemic. Radiologic images of CT and X-ray have been widely used to detect COVID-19 disease through observing infrahilar opacity in the lungs. Deep learning has gained popularity in diagnosing many health diseases including COVID-19 and its rapid spreading necessitates the adoption of deep learning in identifying COVID-19 cases. In this study, a deep learning model, based on some principles has been proposed for automatic detection of COVID-19 from X-ray images. The SimpNet architecture has been adopted in our study and trained with X-ray images. The model was evaluated on both binary (COVID-19 and No-findings) classification and multi-class (COVID-19, No-findings

With the escalation of cybercriminal activities, the demand for forensic investigations into these crimeshas grown significantly. However, the concept of systematic pre-preparation for potential forensicexaminations during the software design phase, known as forensic readiness, has only recently gainedattention. Against the backdrop of surging urban crime rates, this study aims to conduct a rigorous andprecise analysis and forecast of crime rates in Los Angeles, employing advanced Artificial Intelligence(AI) technologies. This research amalgamates diverse datasets encompassing crime history, varioussocio-economic indicators, and geographical locations to attain a comprehensive understanding of howcrimes manifest within the city. Lev