The experiment was carried out in the Department of Biology, College of Education for Pure Science –Ibn AL Haitham, University of Baghdad, Iraq, during the growing season 2017 – 2018. The objective was to find out the effect of foliar spraying of tryptophan and IQ COMBI nano fertilizer on cumin plants. The obtained results show that both tryptophan and IQ COMBI nano fertilizer increased plant height, root length, shoot dry weight, the content of nitrogen, phosphorus, potassium, protein percentage, no. compound umbel.plant-1, wt. seeds. plant-1. The optimum treatment combination was calculated as 30 mg.L-1 tryptophan, 1000mg.L-1 IQ COMBI nano fertilizer, which gave the highest values for most of the parameters studied

The current study was designed to investigate the impact of the missense Single Nucleotide Polymorphism (SNP), Asn291Ser (c.872A>G: rs12470652), of LHR gene (Luteinizing hormone receptor gene) in peripheral blood samples of Iraqi infertile women diagnosed with premature ovarian failure (POF) and normosmic idiopathic hypogonadotropic hypogonadism(niHH, patients with normal sense of smell). Following the hormonal analysis, fifty women diagnosed with premature ovarian failure and fifty women diagnosed with normosmic idiopathic hypogonadotropic hypogonadism were included as patient groups, while fifty healthy fertile women were enrolled as a control group. The blood samples were obtained from patient and control groups at Kamal Al-Samarra

Thyroid 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

     Bacterial vaginosis (BV) is a common infection that occurs when the number of lactobacillus spp. bacteria (vaginal flora) decreases in the vaginal canal. The study aimed to determine the prevalence of Staphylococcus aureus within vaginosis in order to emphasize the importance of early detection and treatment. Totally, 90 vaginal swabs were collected using speculum and swabbing. The vaginal swabs were subjected to standard microbiological testing, which included microscopy, cultures (Blood agar and Mannitol salt agar), and antibiotic sensitivity testing. The results showed that out of 90 samples, only 40 S.aureus isolates were collected. S. aureus isolates showed maximum sensitivity to gentamic

    Osteoarthritis (OA) is a disease of human joints, especially the knee joint, due to significant weight of the body. This disease leads to rupture and degeneration of parts of the cartilage in the knee joint, which causes severe pain. Diagnosis of this disease can be obtained through X-ray. Deep learning has become a popular solution to medical issues due to its fast progress in recent years. This research aims to design and build a classification system to minimize the burden on doctors and help radiologists to assess the severity of the pain, enable them to make an optimal diagnosis and describe the correct treatment. Deep learning-based approaches, such as Convolution Neural Networks (CNNs), have been used to detect knee OA usin

The invasion and spread of cancer cells are two of the most notable characteristics of malignant tumors. Recent studies suggest that the epithelial-mesenchymal transition (EMT) has been linked to this significant occurrence. It is linked to the absence of the epithelial brow and the presence of mesenchymal facial hair. The aims of the present study were to explore the immunohistochemical staining of vimentin and E-cadherin ex vivo as EMT markers and assess their potential as predictive biomarkers for transitional cell cancer (TCC). In this study, 55 paraffin-embedded biopsies from TCC patients and 10 autopsies that appeared to be normal were included. Immunohistochemistry was used to produce patterns of vimentin and E-cadherin expression. W

The aim of this study is to utilize the behavior of a mathematical model consisting of three-species with Lotka Volterra functional response with incorporating of fear and hunting cooperation factors with both juvenile and adult predators. The existence of equilibrium points of the system was discussed the conditions with variables. The behavior of model referred by local stability in nearness of any an equilibrium point and the conditions for the method of approximating the solution has been studied locally. We define a suitable Lyapunov function that covers every element of the nonlinear system and illustrate that it works. The effect of the death factor was observed in some periods, leading to non-stability. To confirm the theore