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.
The deployment of UAVs is one of the key challenges in UAV-based communications while using UAVs for IoT applications. In this article, a new scheme for energy efficient data collection with a deadline time for the Internet of things (IoT) using the Unmanned Aerial Vehicles (UAV) is presented. We provided a new data collection method, which was set to collect IoT node data by providing an efficient deployment and mobility of multiple UAV, used to collect data from ground internet of things devices in a given deadline time. In the proposed method, data collection was done with minimum energy consumption of IoTs as well as UAVs. In order to find an optimal solution to this problem, we will first provide a mixed integer linear programming m
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Rate of penetration plays a vital role in field development process because the drilling operation is expensive and include the cost of equipment and materials used during the penetration of rock and efforts of the crew in order to complete the well without major problems. It’s important to finish the well as soon as possible to reduce the expenditures. So, knowing the rate of penetration in the area that is going to be drilled will help in speculation of the cost and that will lead to optimize drilling outgoings. In this research, an intelligent model was built using artificial intelligence to achieve this goal. The model was built using adaptive neuro fuzzy inference system to predict the rate of penetration in
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In some cases, researchers need to know the causal effect of the treatment in order to know the extent of the effect of the treatment on the sample in order to continue to give the treatment or stop the treatment because it is of no use. The local weighted least squares method was used to estimate the parameters of the fuzzy regression discontinuous model, and the local polynomial method was used to estimate the bandwidth. Data were generated with sample sizes (75,100,125,150 ) in repetition 1000. An experiment was conducted at the Innovation Institute for remedial lessons in 2021 for 72 students participating in the institute and data collection. Those who used the treatment had an increase in their score after
... Show MoreThe research aims to identify the level of awareness of student teachers in the behavioral disorders and autism specialization about the diagnosing Autism Spectrum Disorder and Social (Pragmatic) Communication Disorder according to some variables. The study was conducted on a sample of (113) student teachers. The researcher employed the awareness scale of a teacher-screening questionnaire for autism spectrum disorder and social pragmatic communication disorder. The results showed that the average of teachers in the total degree of awareness of autism spectrum disorder and social communication have recorded a moderate degree. As for the awareness of autism spectrum disorder was high. Then, the awareness of social communication disorder wa
... Show MoreThe paper proposes a methodology for predicting packet flow at the data plane in smart SDN based on the intelligent controller of spike neural networks(SNN). This methodology is applied to predict the subsequent step of the packet flow, consequently reducing the overcrowding that might happen. The centralized controller acts as a reactive controller for managing the clustering head process in the Software Defined Network data layer in the proposed model. The simulation results show the capability of Spike Neural Network controller in SDN control layer to improve the (QoS) in the whole network in terms of minimizing the packet loss ratio and increased the buffer utilization ratio.
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A progressive increase in the desire for environmentally friendly lubricants by users and strict government regulations for the use of these lubricants has provided an opportunity to use plant oils as biodegradable lubricants, therefore vegetable oils have been investigated to replace oil lubricants because of their maintaining the conditions of nature (environment) properties. In this paper, the influences of the blending ratio of mustard seeds oil with commercial mineral oil (SAE40) on the tribological characteristics were investigated and compared with mineral oil using the four-ball tribotester. Mustard seeds oil was blended with mineral oil at a volumetric ratio ranging from 22.5 to 90%. All experimental works were
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Most recognition system of human facial emotions are assessed solely on accuracy, even if other performance criteria are also thought to be important in the evaluation process such as sensitivity, precision, F-measure, and G-mean. Moreover, the most common problem that must be resolved in face emotion recognition systems is the feature extraction methods, which is comparable to traditional manual feature extraction methods. This traditional method is not able to extract features efficiently. In other words, there are redundant amount of features which are considered not significant, which affect the classification performance. In this work, a new system to recognize human facial emotions from images is proposed. The HOG (Histograms of Or
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The necessary optimality conditions with Lagrange multipliers are studied and derived for a new class that includes the system of Caputo–Katugampola fractional derivatives to the optimal control problems with considering the end time free. The formula for the integral by parts has been proven for the left Caputo–Katugampola fractional derivative that contributes to the finding and deriving the necessary optimality conditions. Also, three special cases are obtained, including the study of the necessary optimality conditions when both the final time and the final state are fixed. According to convexity assumptions prove that necessary optimality conditions are sufficient optimality conditions.
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ملخص البحث:
ان الله تعالى هو الذي خلق جميع المخلوقات ، والذي بيده الموت والحياة وان كل هذه المخلوقات تحتاج الى اوامر ، وهذه الاوامر الالهية وجهها الله لعبادة بوساطة انبياءه ( عليهم السلام) فكانوا هم اول المستسلمين والمنقادين لأوامره ، فجاءت الآيات الكريمة مخاطبة للأنبياء واقوامهم بشكل عام ولنبينا محمد (r) بشكل خاص.
اما عن المضمون البحثي فقد جاءت مادته مقسمة الى ثل
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