Effect of Preventive Bundle Care on Nurses' Knowledge, Compliance and Patients' Outcome Regarding Pressure Ulcer in the Intensive Care Unit

Contents: The critical care services had the highest pressure-ulcer rates. Bundle care incorporates those best practices that, if done in combination, are likely to lead to better outcomes.Aim: Evaluate the effect of preventive bundle care on nurses' knowledge, compliance, and patients' outcome regarding pressure ulcers in the intensive care unit. Methods: Quasi-experimental design was used to achieve the aim of this study. The study was conducted at the intensive care unit at Benha Teaching Hospital. All available nurses (30) and a purposive sample of adult patients (85) were recruited in this study. Three tools were used; an interview questionnaire sheet for nurses to assess nurses' knowledge regarding pressure ulcer prevention, the pressure-ulcer prevention bundle compliance checklist which is used for assessing nurses' compliance, and patients' assessment records. Results: The study revealed that (36.7%) of nurses were in the age category (20-<25 years old), (90%) females, and (46.7%) had experienced more than seven years. Regarding total nurses' knowledge level and compliance pre/post-intervention, there was a highly statistically significant difference (p=0.000). Concerning patients' outcomes, there are statistically significant differences between the control and study groups observed at (P<0.05). Conclusion: there was a statistically significant improvement in nurses' knowledge and their compliance after implementing bundle care. Also, there were statistically significant improvements in patients' risk, including reducing the incidence of risk of pressure ulcers in the study group than patients in the control group. The study recommends preventive pressure ulcer bundle guidelines should be revised and be available in adult intensive care units in both Arabic and English language. Also, it is essential to provide continuous education and training sessions for nurses about pressure ulcer prevention by applying preventive bundle guidelines to improve their compliance

Cloud Computing Adoption Factors Affecting Academic Performance in UAE Public Universities

Cloud computing helps in reducing costs and providing accessibility, reliability, and flexibility especially in educational sector. This able to provide the best educational resources and facilities to all level of students effectively and efficiently. It also seen as a creative technological innovation that provides stable and on-demand access to the available network. Hence, this study aimed to measure the cloud computing adoption factors affecting the academic performance in UAE university. The factors are clustered into five groups namely, knowledge sharing; knowledge application; learnability; perceived self-efficacy; and perceived enjoyment. A questionnaire survey was conducted with the university students to gauge their opinions on the level of significant of each factor affecting the academic performance using 5-points Likert scale. Out of 400 questionnaire sets distributed using random sampling, 382 valid responses were extracted as the collected data. This data was analysed descriptively. The results of the analysis found that that cloud computing adoption factors in perceived self-efficacy group are ranked first in term of its significance in affecting academic performance. The second rank is factors in learnability group; the third is perceived enjoyment; the fourth rank is knowledge application and finally, the fifth rank is knowledge sharing. The impact of this research will be felt simultaneously in the IT and education sectors, particularly through assisting students in utilising cloud computing to store and exchange information for both their academic and personal lives

Energy Optimization Efficiency in Wireless Sensor Networks for Forest Fire Detection:: An Innovative Sleep Technique

Wireless Sensor Networks (WSNs) have the potential to play a significant role in forest fire detection and prevention. However, limited resources, such as short battery life pose challenges for the energy efficiency and longevity of WSN-based IoT networks. This paper focused on the energy efficiency aspect and proposed the ECP-LEACH protocol to optimize energy consumption in forest fire detection cases. The proposed protocol consists of two main components: a threshold monitoring module and a sleep scheduling module. The threshold monitoring module continuously monitors energy consumption and triggers sleep mode for nodes surpassing the predetermined threshold. The ECP-LEACH protocol offers a promising solution for improving energy efficiency in WSN-based IoT networks for forest fire detection. By optimizing sleep scheduling and duty cycles, the ECP-LEACH protocol enables significant energy savings and extended network lifetim

Enviromental Impact Evaluation Tools for River Engineering Projects in Sudan Case Study of Rosaries Dam

The objectives of this study is to estimate the reduction of Rosaries reservoir capacity, due to increase of sedimentation rate in the Dam as a result of soil erosion, beside decline in vegetation cover as a result of soil extended mechanized irrigation. The environmental impact assessment is the tool of analysis, using geographical information system and remote sensing techniques to identify the Land covers classes and forest decline. The result of the study showed continuous decrease of the capacity of the dam, as the sediment amount accelerate annually, due to vegetation cover removal and consequently soil erosion. A number of conclusions and recommendation stated to improve the environmental Condition through some necessary technical measures and some remedies to reduce the negative effects of the soil erosion processes

Predictors of contractile recovery after successful primary percutaneous coronary intervention

Background: Accurate diagnosis, characterization, and quantification of myocardial infarction (MI) are essential to assess the impact of therapy and to aid in predicting prognosis of patients with ischaemic heart disease.Objective: This study aimed to define different parameters regarding prediction of myocardial functional recovery following successful reperfusion of acute ST segment elevation myocardial infarction (STEMI).Patients and methods: This prospective study was carried out in Zagazig University and National Heart Institute (NHI) of Egypt during the period from June 2020 to June 2021. The study included 48 patients admitted with first acute STEMI. All patients were subjected to demographic data taking, electrocardiography and echocardiography examination (two examinations were done, the first was immediately after reperfusion and the second was 3 months from primary percutaneous coronary intervention (PCI).Results: There was no statistically significant difference between demographic data and risk factors except smoking habit. Regarding laboratory findings there were significant lower troponin value, peak CKMB value compared to patients had remolding (p=0.0001, p=0.027 respectively). Regarding ECG parameters, there was no statistical significant difference between the study groups regarding sum ST elevation and MI territory (p value > 0.05), but there was highly statistically significant difference between the study groups regarding 90 min ST resolution among contractile recovery (group I) p=0.0001.Conclusions: In this study patients affected by AMI with ST segment elevation and treated by primary PCI showed contractile recovery in 60.4% of the patients, while the remodeling of the LV has been observed in 39.6%

A Hybrid Water Flow-Like Algorithm and Variable Neighbourhood Search for Traveling Salesman Problem

Various metaheuristic methods have been proposed earlier and applied for solving the Travelling Salesman Problem (TSP). Water Flow Algorithm (WFA) is one of the recent population-based metaheuristic optimization techniques used for solving this problem. Past research has shown that improving WFA local search strategy has a significant impact on the algorithm performance. Therefore, this paper aims to solve TSP by enhancing WFA searching strategy based on a Variable Neighbourhood Search (VNS) known as hybrid WFA-VNS. It is a mixture of the exploration of WFA and the exploitation capability of VNS. This study is conducted in two stages: Pre-experiment and initial experiment. The objective of doing pre-experiment is to select four neighborhood structures to be used for the initial experiment. At the first stage, three instances are used, and there are five neighborhood structures involved. Those neighborhood structures are two opt, three opt, four opt, swapping, and insertion move. Because of pre-experiment, it discovers four best neighborhood structures, which are two opt, three opt, exchanging and insertion move. These neighborhood structures will be used in the initial experiment, which an improvement approach is employed. In an initial experiment, the performance of the proposed hybrid WFA-VNS is further studied and tested on 26 established benchmarked symmetric TSP datasets using four neighborhood structures selected in pre-experiment earlier. The TSP datasets involved are categorized into three types: small datasets, medium datasets, and large datasets. Selected neighborhood structures obtained in pre-experiment are applied and generated randomly to intensify the initial solution achieved at an earlier stage of hybrid WFA-VNS. The results of the comparison show that this hybrid approach represents an improvement and able to produce competitive results

Preparation of La0.7Ca0.3Mn0.95Fe0.05O3 perovskites by different methods: Catalytic activity towards the hydroxylation of benzene

Nanoparticles of the La0.7Ca0.3Mn0.95Fe0.05O3 perovskites were synthesized by various wet chemical routes, namely, co-precipitation, oxalate-gel and citrate-gel methods. Phase formation and crystal structure of the synthesized powders were examined by the X-ray diffraction (XRD). The morphology was evaluated by the scan electron microscopy (SEM). Infrared transmission spectroscopy revealed that stretching and bending modes were influenced by the preparation methods. The citrate gel method yielded better powder properties. The prepared perovskite samples were used in the oxidation of benzene. The highest activity for the catalytic oxidation of benzene to phenol in presence of hydrogen peroxide (H2O2) was obtained with the citrate-gel prepared sample

The Initial Experience of Trans-Rectal Ultrasound and Biopsy in Diagnosis of Carcinoma Prostate In Gezira Hospital For Renal Disease And Surgery (GHRDS)

Background: Prostate cancer prevalent cancer in males above sixty-five worldwide, this lead to the introduction of screening of the PSA and using of the transrectal ultrasound scanning, and sextant biopsy of the prostate.Objectives: To compare the accuracy of the Transrectal Ultrasound guided biopsy (TRUS/BX) in the diagnosis of prostate cancer in Gezira Hospital for Renal Diseases and Surgery (GHRDS), with specific considerations to the digital rectal examination (DRE) findings and prostate specific antigen (PSA) level.                      .Materials and Methods:  This is a prospective, descriptive small-scale hospital based study.  A total of 297 patients with clinically symptomatic enlarged prostate underwent transrectal ultrasound guided true cut needle biopsy of the prostate were studied in (GHRDS) in the period from June2006 to June2009.                    Results: The majority 188 (63.3%) of patients were between 50-70 years of age. Abnormal digital rectal examination (DRE) like obliteration of the median sulcus, and fixed mucosa revealed higher incidence of carcinoma prostate (CaP) with a significant value (p= 0.0000). PSA level showed significant relation (p= 0.0001) with the diagnosis of carcinoma prostate. Transrectal U/S findings well correlated to the histopathological results, where abnormal findings (like hypo-echoic lesions or calcifications and cysts) showed higher incidence of malignancy in 46 patients constitute 52.8% of the abnormal U/S findings.Conclusions and recommendations: PSA level is highly sensitive but less specific in detection of prostate cancer. Normal DRE doesn’t exclude prostate cancer, fixed mucosa and obliterated median sulcus has the highest predictors of cancer prostate in DRE. Presence of calcifications and cyst on trans-rectal ultrasound has the highest liability for cancer prostate in compare to the other ultrasonic findings.                 Key words: Prostate cancer, DRE, PSA level, TRUS/ BX (Transrectal ultra sound biopsy), sextant biopsy