Management is considered as most important resource of the society ones in modern era and an exchange
point in societies’ lives in order to achieve its goals and wishes. So far, management behinds the new
electronic society has become different in shape and nature due to the force of the nature of information
technology that shapes the relationships between the world’s individuals at the national level but it goes
beyond the international ones. The study aims at identifying the impact of the electronic management’s
components upon the improvement of the quality of nursing care in Baghdad’s hospitals. The descriptive
design, with a sample-survey approach, is used as appropriate ones for the field study of social phenomena.
So, it presents data about these phenomena and the relations between their reasons, results and analysis to
depict the effective factors in them. The study uses a questionnaire for data collection from the respondents.
It is comprised of (31) items which are distributed on two parts; first, demographic characteristics (8) items
and second, electronic management’s components with a five levels Likert Scale of strongly disagree,
disagree, uncertain, agree, and strongly agree with a rating scale of 1 for strongly disagree, 2 for disagree, 3
for uncertain, 4 for agree, and 5 for strongly agree, respectively. Validity of the questionnaire is determined
through its administration to panel of (10) experts who are specialists to present their judgments about its
content validity. Reliability of the questionnaire is determined through the use reliability coefficients to
achieve its internal consistency. Data are collected through field visits to the hospitals and interviews with
subjects. The setting of the study includes all hospitals in Baghdad City which are (43) hospitals. These
hospitals are distributed on three health directorates as; (8) for Medical City Directorate, (13) for Al-Karkh
Health Directorate, and (22) for Al-Rusafa Health Directorate. The sample is consisted of (43) nurse manager
and (101) head nurse. It is purposive “non-probability” ones and it is selected with respect to the selection
criteria of number of years in nursing and number of years in nursing management for no less than one year.
Data of the study are analyzed through descriptive data analysis approach, cluster analysis and factor
analysis. The study reveals that variables that include age, gender, level of education, place of work, number
of years in nursing, number of years in nursing management, years of experience in electronic management
and the duration of each training session in nursing management have an impact in improving the quality of
nursing management. The findings indicate that electronic planning management plays more effective role in the
future of the electronic management and the quality of operating nursing care. So far, we provide sufficient
answers to all questions and hypotheses that the present study has presented. The study recommends that there
is necessity to prepare and implement specialized programs which are concerned in electronic management for
the preparation of managerial leaders in this field. Being relied on electronic learning curriculum in general and
specifically electronic management in nursing courses with respect to what have been accomplished in developed
nations’ universities. Nursing staff have to be encouraged for enrollment in educational and training sessions as
being relative to electronic management. Reporting, monitoring, evaluation and promotion for participants system
can be initiated. National comprehensive studies that depend on comparison and targeted large number of health
organizations in public and private sectors, and nursing staff for identification of barriers for the implementation
and presentation of the recommendations, solutions, and the appropriate approaches that develop technical,
managerial and leadership aspects. Concern can be presented with regard to training sessions in the field of
electronic management, especially that of electronic planning management.
Chemical Methodologies (CHEMM)
Television white spaces (TVWSs) refer to the unused part of the spectrum under the very high frequency (VHF) and ultra-high frequency (UHF) bands. TVWS are frequencies under licenced primary users (PUs) that are not being used and are available for secondary users (SUs). There are several ways of implementing TVWS in communications, one of which is the use of TVWS database (TVWSDB). The primary purpose of TVWSDB is to protect PUs from interference with SUs. There are several geolocation databases available for this purpose. However, it is unclear if those databases have the prediction feature that gives TVWSDB the capability of decreasing the number of inquiries from SUs. With this in mind, the authors present a reinforcement learning-ba
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Portable devices such as smartphones, tablet PCs, and PDAs are a useful combination of hardware and software turned toward the mobile workers. While they present the ability to review documents, communicate via electronic mail, appointments management, meetings, etc. They usually lack a variety of essential security features. To address the security concerns of sensitive data, many individuals and organizations, knowing the associated threats mitigate them through improving authentication of users, encryption of content, protection from malware, firewalls, intrusion prevention, etc. However, no standards have been developed yet to determine whether such mobile data management systems adequately provide the fu
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In this research, the multi-period probabilistic inventory model will be applied to the stores of raw materials used in the leather industry at the General Company for Leather Industries. The raw materials are:Natural leather includes cowhide, whether imported or local, buffalo leather, lamb leather, goat skin, chamois (raw materials made from natural leather), polished leather (raw materials made from natural leather), artificial leather (skai), supplements which include: (cuffs - Clocks - hands - pockets), and threads.This model was built after testing and determining the distribution of demand during the supply period (waiting period) for each material and completely independently from the rest of the materials, as none of the above mate
... Show MoreLow-level microbial activity due to the production of organic acids is a recognized problem during the initial phase of food waste composting. Increasing such activity levels by adjusting the pH values during the initial composting phase is the primary objective to be investigated. In this study, sodium acetate (NaoAc) was introduced as an amendment to an in-vessel composting system. NaoAc was added when the pH of the compost mixture reached a low level (pH < 5), the addition increased pH to 5.8. This had a positive effect on the degradation of organic materials i.e. the formation of methane gas compared to the results without NaoAc addition.
The results also proved that anaerobic-aerobic in-vessel composting could reduce the
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This paper discusses an optimal path planning algorithm based on an Adaptive Multi-Objective Particle Swarm Optimization Algorithm (AMOPSO) for two case studies. First case, single robot wants to reach a goal in the static environment that contain two obstacles and two danger source. The second one, is improving the ability for five robots to reach the shortest way. The proposed algorithm solves the optimization problems for the first case by finding the minimum distance from initial to goal position and also ensuring that the generated path has a maximum distance from the danger zones. And for the second case, finding the shortest path for every robot and without any collision between them with the shortest time. In ord
... Show MoreSediment accumulated in sewers is a major concern source as it induces numerous operational and environmental problems. For instance, during wet weather flow, the re-suspension of this sediment accompanied by the combined sewer overflow may cause huge pollutant load to the receiving water body. The characteristics of the sewer sediment are important as it shapes its behaviour and determines the extent of the pollution load. In this paper, an investigation of sewer sediment and its characterization is done for a case study in Baghdad city. Sediment depth covers more than 50% of the sewer cross-sectional area; several operational causes are comprised to cause this huge depths of sediment depositions. The testing and analysis of the s
... Show MoreABSTRACT Background: Viral hepatitis places a heavy burden on the health care. Large number of patient with bleeding disorders has chronic hepatitis C infection, while few are chronic carriers of hepatitis B virus. Aims of study: evaluate the prevalence of HBV, HCV infection among patient with Von Willebrand disease and to find factors that associated with the chance of getting the infection.
Correct grading of apple slices can help ensure quality and improve the marketability of the final product, which can impact the overall development of the apple slice industry post-harvest. The study intends to employ the convolutional neural network (CNN) architectures of ResNet-18 and DenseNet-201 and classical machine learning (ML) classifiers such as Wide Neural Networks (WNN), Naïve Bayes (NB), and two kernels of support vector machines (SVM) to classify apple slices into different hardness classes based on their RGB values. Our research data showed that the DenseNet-201 features classified by the SVM-Cubic kernel had the highest accuracy and lowest standard deviation (SD) among all the methods we tested, at 89.51 % 1.66 %. This
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