42 research outputs found

    The impact of job rotation on the performance of health organizations: An Applied Study in King Faisal Hospital in Makkah City

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    The current study focuses on the impact of job rotation on the performance of health organizations, and therefore the study aimed to study the impact of senior management’s interest in human resource development through job rotation, horizontal and vertical job rotation on health service performance in King Faisal Hospital in Makkah. To achieve the goals of the study, the researcher used the descriptive analytical method and the questionnaire to collect data, and it consists of two parts: the first section is personal data, and the second section is four axes according to the study variables, and the study was applied to a sample of hospital staff that reached (303) employees. Most important results of the study: There is a correlation between the higher management's interest in developing human resources through job rotation, and the performance of the health service in King Faisal Hospital in Makkah, where the correlation coefficient reached (0,826). Its ranking was the most influential in the first place, followed by the reality of the application of horizontal job rotation (0.677) , and finally the reality of applying vertical job rotation ( 0.633). Most important recommendations of the study: To hold meetings for employees who are nominated for job rotation before starting the rotation process. The necessity to develop a comprehensive plan to implement job rotation to ensure the implementation of the rotation according to the human and training needs in the hospital. Providing the opportunity for subordinates to express their views on the method of executing the work as the actual practice of these employees increases their experiences in determining the best methods to accomplish the work tasks. The necessity to take into account the capabilities, skills, and desires of employees when implementing job rotation

    Burnout among surgeons before and during the SARS-CoV-2 pandemic: an international survey

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    Background: SARS-CoV-2 pandemic has had many significant impacts within the surgical realm, and surgeons have been obligated to reconsider almost every aspect of daily clinical practice. Methods: This is a cross-sectional study reported in compliance with the CHERRIES guidelines and conducted through an online platform from June 14th to July 15th, 2020. The primary outcome was the burden of burnout during the pandemic indicated by the validated Shirom-Melamed Burnout Measure. Results: Nine hundred fifty-four surgeons completed the survey. The median length of practice was 10 years; 78.2% included were male with a median age of 37 years old, 39.5% were consultants, 68.9% were general surgeons, and 55.7% were affiliated with an academic institution. Overall, there was a significant increase in the mean burnout score during the pandemic; longer years of practice and older age were significantly associated with less burnout. There were significant reductions in the median number of outpatient visits, operated cases, on-call hours, emergency visits, and research work, so, 48.2% of respondents felt that the training resources were insufficient. The majority (81.3%) of respondents reported that their hospitals were included in the management of COVID-19, 66.5% felt their roles had been minimized; 41% were asked to assist in non-surgical medical practices, and 37.6% of respondents were included in COVID-19 management. Conclusions: There was a significant burnout among trainees. Almost all aspects of clinical and research activities were affected with a significant reduction in the volume of research, outpatient clinic visits, surgical procedures, on-call hours, and emergency cases hindering the training. Trial registration: The study was registered on clicaltrials.gov "NCT04433286" on 16/06/2020

    Factors Affecting Pronunciation for Adult Second Language Learners in Tennessee

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    The purpose of this study was to explore the factors affecting the skill of pronunciation of Adult Second Language Learners from the perspective of U.S. teachers in Tennessee. The English pronunciation teaching survey results in Europe show unusual phenomena, despite shortcomings in teachers’ performance in teaching pronunciation. Most of the respondents were English language learners, and most of them rated their mastery of English pronunciation favorably. However, most thought they had little or no training in teaching pronunciation, which presents the question of how teachers are coping with this crucial aspect of language teaching. Data were collected via semi-structured interviews and focus group interviews with 10 teachers adopting a qualitative approach. Findings showed teachers’ experiences with teaching pronunciation to adult second language learners. Teachers explained they are motivated to become English language teachers, described their teaching style, shared challenges that can be encountered teaching pronunciation, the objective of teaching pronunciation, and their experiences in teaching pronunciation in the class that interrogates students from various countries

    Security Analysis of DDoS Attacks Using Machine Learning Algorithms in Networks Traffic

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    The recent advance in information technology has created a new era named the Internet of Things (IoT). This new technology allows objects (things) to be connected to the Internet, such as smart TVs, printers, cameras, smartphones, smartwatches, etc. This trend provides new services and applications for many users and enhances their lifestyle. The rapid growth of the IoT makes the incorporation and connection of several devices a predominant procedure. Although there are many advantages of IoT devices, there are different challenges that come as network anomalies. In this research, the current studies in the use of deep learning (DL) in DDoS intrusion detection have been presented. This research aims to implement different Machine Learning (ML) algorithms in WEKA tools to analyze the detection performance for DDoS attacks using the most recent CICDDoS2019 datasets. CICDDoS2019 was found to be the model with best results. This research has used six different types of ML algorithms which are K_Nearest_Neighbors (K-NN), super vector machine (SVM), naïve bayes (NB), decision tree (DT), random forest (RF) and logistic regression (LR). The best accuracy result in the presented evaluation was achieved when utilizing the Decision Tree (DT) and Random Forest (RF) algorithms, 99% and 99%, respectively. However, the DT is better than RF because it has a shorter computation time, 4.53 s and 84.2 s, respectively. Finally, open issues for further research in future work are presented

    The Impact of Transformational Leadership on Performance of Employees in Health Facilities: An Applied Study in King Faisal Hospital in Makkah City.

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    The study focused on the impact of transformational leadership on the performance of employees, and therefore aimed to study the impact of transformational leadership dimensions: the ideal effect, inspirational motivation, intellectual stimulation, and individual considerations on the performance of employees at King Faisal Hospital in Makkah. To achieve the goals of the study, the researcher used the descriptive-analytical approach and the questionnaire to collect data, and it consists of two parts: the first section is personal data, while the second section is five axes according to the study variables, and the study was applied to a sample of hospital staff that reached (302) employees. Most important results: There is a correlation between the dimensions of transformational leadership, and the most influential dimensions on the performance of employees according to the correlation coefficient is the ideal effect of correlation coefficient (0,634), followed by individual considerations (0,633), followed by inspirational stimulation (0,602) and finally intellectual stimulation (0,581). Most important recommendations: Selection of leaders who have transformational leadership behaviors in the important leadership positions of the hospital. Focusing on qualified administrative cadres to take leadership positions and work to develop their skills. Training managers on how to practice transformational leadership. The hospital administration adopts the transformational leadership style and focuses on its practice by managers and department heads

    Rare otologic presentation of cat eye syndrome

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    Knowledge of and Testing Rate for Hepatitis C Infection among the General Public of Saudi Arabia: A Cross-Sectional Study

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    Introduction: The Ministry of Health in Saudi Arabia has announced a plan to eradicate hepatitis C virus (HCV) infection. This study sought to evaluate the knowledge levels and testing rate among the general population of Saudi Arabia. Methods: A cross-sectional study was conducted using data collected from an online, self-administered survey. Multivariable analysis was conducted using multiple binary logistic regression models to identify factors associated with low knowledge levels as well as predictors of HCV testing. Results: A total of 689 participants completed the survey. While most participants (88%) have heard of HCV infection, less than half (47.3%) understood that HCV is curable with medications. More than half of the participants (53.7%) have low knowledge about HCV infection. Testing for HCV was reported by 123 respondents (17.8%), and the odds of testing for HCV were significantly lower among residents of the Makkah region (OR = 0.59 [95% CI: 0.36–0.97]) and those with low knowledge level (OR = 0.47 [95% CI: 0.29–0.74]). HCV diagnosis was reported by nine respondents (1.3%), of whom only four reported receiving treatment (44%). Conclusions: Our study indicates inadequate knowledge levels and relatively low testing rate. These findings underscore the need for national awareness campaigns and more effective strategies for HCV screening

    Practices, awareness and attitudes toward self-medication of analgesics among health sciences students in Riyadh, Saudi Arabia

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    Background: Self-medication is a common practice among health sciences students in Saudi Arabia. It is known that inappropriate selfmedication may harm individuals due to increasing the risk of drug misuse or delaying a hospital visit by masking some symptoms. Thus, the aim of our study is to investigate and assess practices, awareness and attitudes toward analgesics self-medication among health science students in Riyadh, Saudi Arabia. Methods: This is a cross-sectional study in a form of electronic survey that was conducted among health sciences students from different universities in Riyadh, Saudi Arabia in 2016. Two hundred and seventy-two students responded to the questionnaire. The electronic questionnaire survey covered demographics, self-medication practice and the analgesics consumption, attitude and awareness about the safety of self-medication practice of analgesics. Results: Factors associated with high prevalence of self-medication were not significant except for age (P = 0.04). Health sciences students had adequate knowledge about the safety of analgesics consumption itself and simultaneous use of analgesics with other drugs, significantly different by college; 80% for Pharmacy, 71% for Medicine, 61% for Nursing and Dentistry, and 25% for Applied Medical Sciences and pre-professional students (p = 0.037). Conclusion: The occurrence of self-medication practices is distressingly high among health sciences students. It is necessary to educate the students about the side effects and drawbacks of irresponsible selfmedication. Keywords: Self-medication, Analgesics, Students, Saudi Arabi

    Sustainable PVP-Capped Silver Nanoparticles as a Free-Standing Nanozyme Sensor for Visual and Spectrophotometric Detection of Hg2+ in Water Samples: A Green Analytical Method

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    In the proposed method, microwave-assist heating and AgNO3/trisodium citrate were used to create the polyvinylpyrrolidone-capped silver nanoparticles (PVP-AgNPs) sensor. This sensor had a peroxidase-like activity that could catalytically oxidize O-phenylenediamine (OPD, colourless) into 2,3-diaminophenazine (ox-OPD, greenish-yellow colour) in the presence of H2O2, otherwise, in the presence of Hg2+, this pass has been effectively inhibited. The degree of colour fading was directly correlated with Hg2+ concentration. These results indicated the selectivity of Hg2+ ions toward PVP-AgNPs after establishing the PVP-AgNPs/OPD/H2O2 system. This selectivity was proved by the negative results obtained from other mon-, di-, and trivalent ions such as Na+, K+, Ca2+, Mg2+, Ba2+, Co2+, Ni2+, Cd2+, and Cr3+, instead of Hg2+. Consequently, a reliable, selective, and eco-effective spectrophotometric approach was designed for the detection of Hg2+ in various types of water samples. LOD was extended to lower than 0.1 µM, and a fading in the obtained colour was shown by the naked eye at a concentration higher than 1.5 µM of Hg2+. The elemental details for preparing the used PVP-AgNPs, such as particle size, morphology, polydispersity index (PdI), and their UV-visible spectrum, were identified by SEM technique, TEM, UV-visible spectrophotometer, and zeta-sizer device. Thus, the peroxidase mimicking the activity of OPD/H2O2 was confirmed by a fluorescence technique. The greenness profile of this work was confirmed after applying a reported assessment tool
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