83 research outputs found

    Sentiment Analysis on Twitters Big Data Against the Covid- 19 Pandemic Using Machine Learning Algorithms

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    This paper analyzes users reactions on Twitter to the COVID-19 pandemic, using machine learning and data mining algorithms to classify tweets according to economic and health fears. A large dataset of tweets is explored, extracted, transformed, loaded, cleansed, and analyzed. The proposed framework improves prediction quality with a proposed dictionary that is used to classify tweets. The study compares four supervised machine learning algorithms and finds that people discuss the pandemics dangers from economic and health perspectives with equal frequency. The Naive Bayes algorithm achieves the highest percentage of correct predictions

    EFFECT OF COMMON CARP AND AFRICAN CATFISH OILS ON RATS FED ON HIGH-FAT DIET

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    Objective: The present study was designed to study the effect of common carp and African catfish oils on the lipid profiles and liver functions in rats fed on high-fat diets, also fatty acids were assessed in both oils by gas-liquid chromatography (GLC).Methods: A biological experiment on rats was designed to raise fat in the diet and to study the effect of treatment with common carp and African catfish oils for 6 w (by the stomach tube) and then evaluate their impact on blood lipid profile and liver functions (Alanine transaminase [ALT], aspartate transaminase [AST] total protein and albumin).Results: GLC analysis of fatty acids (FAs) revealed the presence of oleic, palmitic, palmitolic, and linoleic acids more than 70% from total fatty acids in two oils. High-fat diet resulted in a significant increase in plasma lipid profile as well as liver functions. The treatment of rats fed high fat diets with common carp and African catfish oils resulted in a significant decrease in levels of triglycerides (TGs), total cholesterol (TC), low-denisty lipioprotein cholesterol (LDL-c), total cholesterol (TC)/high-denisty lipoprotein cholesterol (HDL-c) and TGs/HDL-c ratios compared with positive control group, while the same treatment with these oils resulted in a significant increase in HDL-c levels compared with positive control group. The intake of common carp and African catfish oils also significantly reduced ALT and AST activities compared with positive control group. Common carp and African catfish oils showed an anti-hyperlipidemic effect in rats feeding on hypercholesterolemic diets.Conclusion: It could be concluded that these fish oils have a promising role in reducing the harmful effects of high-fat diets.Â

    Optimization of nanostructured/nano sized rice husk ash preparation

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    تم تطوير إجراء لإنتاج رماد قشر الأرز.  وقد تم دراسة تأثير العوامل المؤثرة على إنتاجية وخصائص السيليكا غير المتبلورة وهذه العوامل هى الكمية الابتدائية لقشر الأرز و ظروف الاحتراق و التقليب . تم التوصل إلى أن أفضل كمية كانت 20 غراما في الدقيقة في صحن تبخر خزفي بحجم 125 مل يحترق لمدة ساعتين عند درجة حرارة 700 درجة مئوية ، مع تبريد على ثلاث فترات أثناء الاحتراق لإنتاج السليكا عند أقل فقد عند الاشتعال وقد وجد أيضا أن  فترات التبريد تلعب دوراَ هاماَ فى تباين حجم الهيكل النانوي وتوزيع شكل الجسيمات. بالاضافة إلى أنه لم يتم العثور على مراحل بلورية في رماد قشر الأرز في جميع الحالات.The objective of the study is developing a procedure for production and characterization of rice husk ash (RHA). The effects of rice husk (RH) amount, burning/cooling conditions combined with stirring on producing of RHA with amorphous silica, highest SiO2, lowest loss on ignition (LOI), uniform particle shape distribution and nano structured size have been studied. It is concluded that the best amount is 20 g RH in 125 ml evaporating dish Porcelain with burning for 2 h at temperature 700 °C combined with cooling three times during burning to produce RHA with amorphous silica, SiO2 90.78% and LOI 1.73%. On the other hand, cooling and stirring times affect the variation of nano structured size and particle shape distribution. However, no crystalline phases were found in RHA in all cases. Results proved that the Attritor ball mill was more suitable than vibration disk mill for pulverizing nano structured RHA with 50% of particle size (D50) lower than 45 mm and 99 % of particle size (D99) lower than 144 mm to nanosized RHA with D50 lower than 36 nm and D99 lower than 57 nm by grinding time 8.16 min to every 1 g RHA without changes in morphousity of silica

    Macular Thickness Variations with Axial Length in Healthy Individuals: Review Article

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    Background: In the diagnosis and evaluation of many visual illnesses, such as macular edema, macular thickness is an important metric. Gender, age, ethnicity, refraction, and axial length all have an effect on the retinal macular thickness. Preoperative calculations of intraocular lens power during cataract surgery and myopia research necessitate precise and accurate measurements of axial eye length. Objective: To assess the macular thickness in eyes with no ocular pathology, which is important because it serves as a reference for the consequent diagnosis, and to assess the effectiveness of treatment for various macula-related illnesses.Conclusion: Thickness of macula is not the same in all eyes, as it expected to vary with change of eye axial length, which can guide and help in various ocular diseases

    Strengthening of Concrete Beams Using FRP Composites

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    Finite element analysis (FEA) is used to predict the behavior of reinforced concrete beams strengthened with fiber reinforced polymer (FRP). To verify and measure the accuracy of the FEM model, the current model results were compared with both experimental and theoretical available results. Four beams were studied simulating the Horsetail Creek Bridge, Oregon, USA. The first one is a control beam with no strengthening fiber.The second beam is strengthened with carbon fiber reinforced polymer (CFRP) oriented along the length of the beam to reinforce the flexure behavior. The third beam is wrapped with glass fiber reinforced polymer(GFRP) laminates representing the shear beam. The fourth one is strengthened with CFRP and GFRP laminates representing the flexure-shear beam.The load-strain for concrete, steel and fiber as well were represented and compared. In addition, the load deflection curves and crack patterns were developed and represented. The results showed that the modeling process was accurate in simulating the tested beams. It was also clear that using FRP in strengthening reinforced concrete beams is an effective method in improving both shear and flexural behavior of the beams

    Improving Medical Emergency Team Response Time for Urgent Care Patients in Primary Health Care Centers, Riyadh, Saudi Arabia

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    Background: Emergency healthcare systems are of increasing concern in international healthcare developments and the global fight against the burdens of disease. Concerns about focusing on ambulance response time as a single indicator are addressed by showing a case-sensitive approach for developing emergency health care systems that in return can identify ambulance response as the main indicator for a particular system. Problem description: Data collected by monitoring the time of receiving the call at the ambulance division until transport time.Methods: The fishbone diagram is used as a tool for understanding the process variation, investigate and eliminating unusual occurrences by the following methodology: M.M.M.Main outcomes: Responding time in emergency cases not exceeding 5 minutes; To improve responding time; To improve types of communication; To improve compliance with the logbook of the emergency referred cases. The intervention plan was Continuous Training for the staff and Clear Guidelines for emergency calls. Review and assess the actual implementation of the project. Data will be collected by an Emergency Medical specialist. A copy of the data should be sent to CQI for a continuous monitoring process. Check the data for process improvement (incident report analysis). Document the results of the change. Modify the change, if necessary and possible. The Emergency Medical Technicians quality coordinator will check the Data. Continue improvement by close monitoring of the compliance.Results: the mean response time dropped from 15 minutes in January 2023 to less than 5 minutes in December 2023.Conclusion: this initiative positively impacts the emergency team's response time and improves patient satisfaction. Response time reduction was evident, and the quality of the health care service was improved. Reduction of response time also improved emergency preparednes

    3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images

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    Automated grading systems using deep convolution neural networks (DCNNs) have proven their capability and potential to distinguish between different breast cancer grades using digitized histopathological images. In digital breast pathology, it is vital to measure how confident a DCNN is in grading using a machine-confidence metric, especially with the presence of major computer vision challenging problems such as the high visual variability of the images. Such a quantitative metric can be employed not only to improve the robustness of automated systems, but also to assist medical professionals in identifying complex cases. In this paper, we propose Entropy-based Elastic Ensemble of DCNN models (3E-Net) for grading invasive breast carcinoma microscopy images which provides an initial stage of explainability (using an uncertainty-aware mechanism adopting entropy). Our proposed model has been designed in a way to (1) exclude images that are less sensitive and highly uncertain to our ensemble model and (2) dynamically grade the non-excluded images using the certain models in the ensemble architecture. We evaluated two variations of 3E-Net on an invasive breast carcinoma dataset and we achieved grading accuracy of 96.15% and 99.50%

    Improving Healthcare Services through Reducing Zero-Stock Reports in PHCs Riyadh, Saudi Arabia

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    Background: Quality improvement initiative to reduce zero stock items through improved demand supply chain system in primary healthcare centers.Aim: This study aims to explore strategies and evaluate the effectiveness of the digitalized demand supply chain for reducing zero stock incidents in PHC settings and how these reductions can improve the quality of care provided to patients.Method: A quantitative data collection on Zero stock incidents was conducted in all primary healthcare facilities over 24 months. Comparing the frequency of zero-stock items reports from before and after implementing the digitalized demand supply chain system.Result: The findings suggest that the new supply chain system has contributed to improving inventory management and reduced instances of zero-stock, ultimately enhancing the availability of essential supplies in PHCs.Conclusion: Quantitative analysis of zero stock reports over two years reveals that effective supply chain management and targeted interventions significantly reduce zero stock reports in PHC facilities

    Risk Factors Associated with Pressure Ulcers among Home Health Care Patients; Riyadh, Saudi Arabia

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    Background: Patients, professionals, and health care systems are faced with a serious problem of pressure ulcers. They represent a significant occurrence and prevalence throughout the world. Their character iatrogenic states that its appearance is preventable, and its incidence is an indicator of scientific and technical quality both in primary care and specialized care. Surgery may be necessary to accelerate the healing process, although most pressure ulcers are usually treated with debridement and conservative therapy. Their reported incidence and prevalence are significant worldwide. Objectives: The study's objectives are to identify the pressure ulcer risk factors in patients getting home health care, as well as to look at the quantity, type, and characteristics of pressure ulcers as well as patient comorbidities. Methods: Cross-sectional study, Home Care Nursing personnel questionnaire to determine the Risk Factors of Pressure Ulcers, patient comorbidities, and the number, and characteristics of pressure ulcers among patients receiving home care in Riyadh, Saudi Arabia. Results: PU is prevalent among the studied participants in Saudi Arabia, about 55% of these ulcers showed noticeable distraction of skin and/or deeper soft tissue against a bony prominence. We have also found a significant relationship between PU and gender, diabetes mellitus, hypertension, incontinence issues, nutritional status, and physical status, cerebrovascular accidents, trauma, and chronic kidney disease. Conclusion: Different risk factors are associated with PU such as diabetes mellitus, hypertension, and nutritional, and physical status. To monitor and promote best practices in skin care for highly dependent patients, continued measurement and evaluation of PU incidence, it is recommended more research of risk factors of PU development be assessed at home Health care Centers

    Challenges for Improving Nursing Documentation at PHCs, Riyadh, Saudi Arabia

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    Background: Family and Community Medicine Department is providing quality primary health care service through its 16 peripherals PHCs that are providing direct patients care and performing documentation on patients' charts on electronic nursing records (Rabet system). Each of these peripherals is taking a sample of 10% of their total patient census per session, subject to submission every Sunday of the week for audit for compliance to completeness. Nursing documentation is a legal record and communication for continuity of care; it is an important function of professional nursing practice. The project aimed to examine the current practice of nursing documentation and develop a project for improvement. The project was conducted from January to July 2024. It is based on the fundamental concepts of assessment and documentation.Methods: Nursing documentation uses electronic nursing records (Rabet system) in entering data for each patient and this is the documentation-guiding framework. In this initiative, we approached the problem by multiple interventions. The memo released by the Director of Nursing dated August 02, 2023, asking all the staff nurses to follow strict compliance to documentation completeness criteria in order to improve documentation practice. An audit was continuously conducted weekly from January up to July 2024, followed by a monthly meeting to all Head Nurses citing the full adherence of each staff. Per peripherals there are two staff nurses who are covering the screening area for documentation and with 16 peripherals; two of these peripherals are having 24hrs duty (6 sessions), while the other peripherals they are having regular 3 sessions. Verbal counseling to those staff who are neglecting to complete the documentation process. The nursing documentation completion rates before the implementation of the action plan /intervention were compared with the completion rates after the implementation. The increase in nursing documentation completion rates in post-intervention implementation was attributed to the effectiveness of the intervention.Results: The nursing documentation completion rates during the months when the action plan was still being developed were notably low, with January 2024 at 51%, February at 65%, and March at 81%. After the implementation of the intervention strategy, the completion rates improved, reaching 90% in April 2024, 91% in May and June, and 96% in July 2024. This demonstrates the effectiveness of the intervention implementation in improving nursing documentation compliance.Conclusion: The nursing Documentation Completeness Project had a significant impact on improving the completion rate of nursing documentation. The goal of the project is to guarantee that patient information is regularly and accurately captured by standardizing and optimizing nursing documentation procedures. This project enhances clinical decision-making, lowers the risk of errors, fosters continuity of care, and increases communication between medical personnel.Recommendations: Adopting the Nursing Documentation Completeness Project is suggested as an essential strategy for improving the standard of nursing documentation completeness for effective patient care
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