The current research aims to shed light on the Global Reporting Initiative (GRI), which helps to report financial and non-financial information by economic units in general and listed on the Iraq Stock Exchange in particular. The research was based on a main premise that apply the criteria of the Global Reporting Initiative (GRI) would provide useful information to users to help them make appropriate decisions. To achieve the goal of the research, the descriptive analysis method was used, and quantitative analysis was used. At the level of the descriptive analysis method, a desk survey was conducted. As for the quantitative analysis, it relied on applied data through a questionnaire form (Questioners) as a research tool, and the Statistical Package for Social Sciences (spss) was used to analyze the research data and to reach the results. The research got a set of conclusions, the most important of which is that the accounting profession seeks to provide all information that is useful to users in the process of making appropriate decisions. Therefore the application of the Global Reporting Initiative would improve the quality of the information supplied to users as well as economic help units to Think about its strategy, manage risks, and provide a comprehensive picture of the performance of economic units Yeh. Based on the conclusions, a set of recommendations were presented, the most important of which was the need to prepare requirements and qualifications that help implement the Global Reporting Initiative by units to ensure the provision of information that is useful to users in the decision-making process. He urged economic units to submit reports through the application of the Global Reporting Initiative to improve the quality of information provided to users on the one hand and the possibility of improving the unit's performance on the other hand
Background: Asthma is a common chronic disease in children in which the body’s airways swell, preventing the lungs from filling with air, there are many different inflammatory cells involved in asthma which can synthesize and release cytokines which are recognized to be important in chronic inflammation and play a critical role in the inflammatory response. Objectives: to assess the local effect of ICS on oral tissue by measuring Interlukine-12 level and Candida albicans colony in saliva among12 year's old asthmatic children who were collected from AL- Zahra Center Advisory for Allergy and Asthma, and compares them with non-asthmatic children of the same age and gender.Type of the study: Cross –sectional study.Methods: The total samp
... Show MoreBiofilm formation represents one of the biggest problems facing scientists because of this phenomenon linkage with virulence of bacteria and other clinical environmental problems. In the present study, two clinical isolates,
Escherichia coli, and Staphylococcus aureus were exposed to the non thermal plasma for different intervals of time (1, 2, 4, 8, and 16 min). The biofilm was measured post exposing. It was found that 2 min. exposing to non-thermal plasma reduced the biofilm formation by both clinical isolates significantly. It can be concluded that the ability of S. aureus to form biofilm higher than E. coli and exposing for 2 min to non-thermal plasma sufficient to reduce the biofilm formati
A total of 60 cotton swabs are collected from patients suffering from burn wound and surgical site infections admitted to Baghdad Teaching Hospital and Burn Specialist Hospital in Baghdad city during 9/2013 to 11/2013. All cotton swabs are cultured initially on blood agar and MacConkey agar and subjected for standard bacteriological procedures for bacteriological diagnosis. Twenty samples out of sixty are identified as Pseudomonas aeruginosa by conventional methods. The results of antibiotic susceptibility test illustrate that the antibiotics resistance rate of Pseudomonas aeruginosa isolates is as follows:100% (2020) for ceftriaxone, cefepime and carbencillin, 70% (14/20) for amikacin, 65%(13/20) for tobramycin, ceftazidim and gentamycin,
... Show MoreThis research has been performed on the vegetative parts of the
Horsetail Equisetum arvense L. v.ilich grows naturally in Haj Umran , north of Iraq , to determine and estimate some active chemical compounds , besides studyi ng their inhi bitory effe(;tS upon some urinary tracts infections (UTI) bacteria through the
investigation on the inhibitory effects of water and ethanolic extracts of this plant .
The results revealed presr.:nr.:t: of some active chemical compounds such as: tannins, saponins, resins,
... Show MoreBackground:
Propolis (bee glue) is a resinous hive product. It consists of exudate from plants mixed with beeswax and used be bees as glue in general-purpose as sealer and
draught-exclude for beehives. Propolis, used in folk medicine, has attracted researchers attention to elucidate its therapeutic properties, as antioxidant and
anticancer. Therefore, the study aimed to investigate the role of propolis in modulating effects of mitomycin C; MMC.
Methods:
Ethanolic solutions of propolis were prepared and administered to albino male mice (Mus musculus) through three types of experiments. In the first, the propolis was
tested alone, while in the second and third experiments, propolis was given orally&nbs
Gypseous soil covers approximately 30% of Iraqi lands and is widely used in geotechnical and construction engineering as it is. The demand for residential complexes has increased, so one of the significant challenges in studying gypsum soil due to its unique behavior is understanding its interaction with foundations, such as strip and square footing. This is because there is a lack of experiments that provide total displacement diagrams or failure envelopes, which are well-considered for non-problematic soil. The aim is to address a comprehensive understanding of the micromechanical properties of dry, saturated, and treated gypseous sandy soils and to analyze the interaction of strip base with this type of soil using particle image
... Show MoreBackground: Ankylosing spondylitis (AS) is inflammation of the sacroiliac joints and spine, associated with clinical symptoms such as pain and stiffness in the vertebral column, after which, in a considerable number of individuals, new bone growth occurs. Objective: The current research study attempted to find out whether the presence of SNPs in TNF receptor [TNFRSF1A (rs767455), TNFRSF1B (rs1061622)] encoding genes could influence patients' outcomes to etanercept in a specimen of Iraqi AS patients. Patients and methods: Sixty patients with established AS receiving only etanercept were selected to be enrolled in this research with a mean age of 40.75 ± 8.67 years, 51 patients of them were males and only 9 patients were females. Patients we
... Show More500 samples of diarrhea stool were collected from different ages(less than 1year –upto30years) and for both genders from some patients in (Alwiya hospital for children, Al-kendi, central health public laboratory and some gavernarated labs) period(1/11/2009—1/10/2010). Kinds of bacteria and parasites agents were isolated and identified from patients with diarrhea. Nine species of gram negative bacteria from enterobacteriaceae were isolated, E. coli isolated are the higher ratio 4.8% of all, then Salmonella typhi4.6% while the lowest ratios is Citrobacterfreundii 0.4%, while the other identified species were be among the previous rotios. also Plesomonasshigelloides was isolated which concedride one of the bacterial local studies.many met
... Show MoreAbstract Software-Defined Networking (commonly referred to as SDN) is a newer paradigm that develops the concept of a software-driven network by separating data and control planes. It can handle the traditional network problems. However, this excellent architecture is subjected to various security threats. One of these issues is the distributed denial of service (DDoS) attack, which is difficult to contain in this kind of software-based network. Several security solutions have been proposed recently to secure SDN against DDoS attacks. This paper aims to analyze and discuss machine learning-based systems for SDN security networks from DDoS attack. The results have indicated that the algorithms for machine learning can be used to detect DDoS
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