A Model of an E-Learning Web Site for Teaching and Evaluating Online

This research is endeavoring to design an e-learning web site on the internet having the course name as "Object Oriented Programming" (OOP) for the students of level four at Computer Science Department (CSD). This course is to be taught online (through web) and then a programme is to be designed to evaluate students performance electronically while introducing a comparison between online teaching , e-evaluation and traditional methods of evaluation. The research seeks to lay out a futuristic perception that how the future online teaching and e-electronic evaluation should be the matter which highlights the importance of this research

Post occupancy evaluation: a comparison between deign and occupation case studies: public housing alterations in Tripoli

This research is an attempt to investigate the phenomenon of public housing alterations and changes that have been carried out by the owners of these houses. In spite of many studies having been undertaken investigating public housing in Libya, no study has dealt specifically with this phenomenon. The key theme raised in this research is: What types of alterations have Libyan public housing owners carried out in their dwellings and what are the reasons for these alterations?To evaluate this theme, a POE approach has been adopted which consist of three main stages. The first stage includes three chapters, highlighting topics whose aim is to understand the context of Libya from its historical, economical and social circumstances, followed by an exploration of the dwelling alteration phenomenon, highlighting issues that were addressed in the literature it. Then the researcher moves towards the post occupancy evaluation approach, its origin, definitions and applications.The second stage, which deals with the research design and methodology, includes three chapters, and it is the planning stage of the research. The model of investigation was introduced, data collection techniques were discussed, as well as the types of analysis used in the research. Three types of analysis were used: firstly, Statistical Package for Social Science (SPSS) was used to analyse data which was collected in the field survey. Two types of analysis were executed with SPSS: descriptive analysis and principal component analysis (factor analysis). The aim of this analysis is to simplify data and to elicit predictors which indicate the main satisfaction factors and the relationship between these factors and alterations carried out by residents. Secondly, Space Syntax Theory, a comparison was run between the distribution of the original planned spaces and the modified spaces for the same design. The third technique is piling which has been used for the open -ended questions addressed in the questionnaire.Data analysis which is introduced in Chapter Six suggests a field of discussion that is indicated, but not completely explained, by the alterations people do to their homes. In other words, the post occupancy evaluation has provided a range of observation that has led to a more theoretical discourse which forms stage three in this research, and to trying to identify what `the home' signifies to its users. In addition, a theoretical framework introduced in Chapter Eight and Nine includes two main theories, human needs theory which was introduced by Maslow in 1954 and Structuralism; the first used to understand users needs and motivations, the latter used as a tool to understand the deep and surface structures of the home.The findings of the research emerged from both its theoretical and empirical aspects. These findings are divided into three dimensions: the first one is oriented towards the importance of adopting POE as an approach suitable at governmental and academic levels. The second dimension was oriented to the dwelling design criteria which will improve the public housing in Libya. The third dimension is oriented towards the main contribution of this research which is needed to study dwelling alterations. Four factors considered as an area of investigation for such phenomenon

Validated Spectrophotometric Methods for the Determination of Oxybuprocaine Hydrochloride

Simple, rapid, accurate and reliable spectrophotometric methods were developed and validated for determination of Oxybuprocaine hydrochloride (OXY) in pure form and in pharmaceutical preparation. The methods depend on charge transfer reaction of OXY as n-electron donor with p-chloranilic acid (p-CA), 2, 3 – dichloro 5, 6 – dicyano 1, 4 benzoquinone (DDQ) and iodine as π and σ acceptors, respectively. These reactions were studied under various conditions and the optimum parameters were selected. Under the optimum reaction conditions, linear relationships with good correlation coefficients (0.9996, 0.9997, and 0.9998) were found between absorbance of the formed complexes and concentrations of OXY in the range of 20.0 - 220.0 μg/mL, 10.0-80.0 μg/mL and 4.0-44.0 μg/mL for (p-CA), DDQ and iodine methods, respectively. The methods were successfully applied for the determination of OXY in pure form and in dosage form. Job’s method was applied to determine the stoichiometry of the reactions. No significant difference was found at p = 0.05 when the obtained results of the proposed methods were statistically compared with those obtained by an official method

Deep Convolutional Architecture for Block-Based Classification of Small Pulmonary Nodules

A pulmonary nodule is a small round or oval-shaped growth in the lung. Pulmonary nodules are detected in Computed Tomography (CT) lung scans. Early and accurate detection of such nodules could help in successful diagnosis and treatment of lung cancer. In recent years, the demand for CT scans has increased substantially, thus increasing the workload on radiologists who need to spend hours reading through CT-scanned images. Computer-Aided Detection (CAD) systems are designed to assist radiologists in the reading process and thus making the screening more effective. Recently, applying deep learning to medical images has gained attraction due to its high potential. In this paper, inspired by the successful use of deep convolutional neural networks (DCNNs) in natural image recognition, we propose a detection system based on DCNNs which is able to detect pulmonary nodules in CT images. In addition, this system does not use image segmentation or post-classification false-positive reduction techniques which are commonly used in other detection systems. The system achieved an accuracy of 63.49% on the publicly available Lung Image Database Consortium (LIDC) dataset which contains 1018 thoracic CT scans with pulmonary nodules of different shapes and sizes

Evaluation of treated wastewater irrigation on the productivity of wheat

The major objective of this research work is to propose the initial environmental impact assessment concerning the utilization of treated wastewater for two different varieties of wheat production. The study analyzed the soil chemical composition before and after irrigation at two different depths (0-30 cm & 30-60 cm). Water chemical composition is also analyzed for controlled water, treated water of Abu Dhabi and Al Ain. Wheat plant chemical composition present in the head, root, and shoot for both the varieties is analyzed. The levels of Ca, Mg, Na and CI in soil have increased after irrigation with controlled water. The presence of cations and anions in the soil are slightly higher in the treated water of Abu Dhabi. Ca, Na, CI and SO4 are found to be significantly higher after irrigation with treated wastewater of Al Ain.  The plant chemical composition of head, root and shoot ND fiber, AD fiber, Crude protein and Macro elements have shown no significant differences across the three types of water and two varieties of wheat production. The correlations between RBS limits and the three types of water considered in the study are negative. The results revealed that the differences in chemical composition between RBS limits, controlled, treated wastewater of Abu Dhabi and Al Ain are statistically significant with particular reference to trace and heavy metals. Concerning water chemical composition, the study concludes that the correlation between controlled water and treated wastewater of Al Ain is strong when compared to Abu Dhabi

A case of uterine gangrene after termination of second trimester pregnancy complicated by chorioamnionitis

Uterine gangrene is a rare event during pregnancy. Here, we report the case of a 22-year-old patient pregnant in her second trimester presenting with premature rupture of membranes and a low-lying placenta. Hysterotomy was done to evacuate the pregnancy. The procedure was complicated by hemorrhage so bilateral uterine arteries and the left internal iliac artery were ligated to control the bleeding. She continued to run a fever in spite of antibiotics and on the 11th postoperative day, the patient developed signs of septicemia. Abdominal re-exploration was done revealing a gangrenous uterus with signs of peritonitis. Subtotal hysterectomy was done. The patient was discharged from the hospital in good health on the 10th post repeat laparotomy day

3D Magneto-buoyancy-thermocapillary convection of CNT-water nanofluid in the presence of a magnetic field

Anumerical study is performed to investigate the effects of adding Carbon Nano Tube (CNT) and applying a magnetic field in two directions (vertical and horizontal) on the 3D-thermo-capillary natural convection. The cavity is differentially heated with a free upper surface. Governing equations are solved using the finite volume method. Results are presented in term of flow structure, temperature field and rate of heat transfer. In fact, results revealed that the flow structure and heat transfer rate are considerably affected by the magnitude and the direction of the magnetic field, the presence of thermocapillary forces and by increasing nanoparticles volume fraction. In opposition, the increase of the magnetic field magnitude leads to the control the flow causing flow stabilization by merging vortexes and reducing heat transfer rate. © 2020 by the authors

Numerical Evaluation of Bond Behavior of Ribbed Steel Bars or Seven-wire Strands Embedded in Lightweight Concrete

The bond-slip relationship between concrete and steel is significant in evaluating the nonlinear behavior of reinforced concrete structures. The force transmitted by the bond in reinforced concrete structures was studied numerically in high-strength, lightweight concrete with ribbed reinforcing steel bar or seven-wire strand, using ATENA 3D software. The first part of the study was a validation of the model based on the actual results of standardized pull-out tests using the software. Subsequently, the bond behavior was studied, where a four-point static bending test was modeled based on the real bond-slip relationship of the pull-out test. It was deduced that the ATENA 3D software can simulate the experimental tests and provide meaningful results. In addition, inferred from the numerical modeling, the maximum crack width and the mid-span deflection of the reinforced concrete beam increased when the bond stress between the concrete and the reinforcing steel bars was decreased. When a high amount of reinforcement (two strands) was used, concrete failure occurred before the strands yielded. However, further increase of the bond stress also decreased the maximum crack width and mid-span deflection. The failure occurred due to the increase in the strand yielding point by using one strand as a reinforcement of the beam

Evaluation of Retinal Nerve Fiber Layer Thickness in Patients with Multiple Sclerosis

Background: Multiple sclerosis (MS) is a neurodegenerative disease, and is considered a chronic inflammatory disease. Retinal nerve fiber layer (RNFL) thickness as a structural biomarker for axonal loss in MS.Objective: The aim of the present study was to assess the role of optical coherence tomography (OCT) in detecting RNFL in MS patients without history of optic neuritis and to correlate with disease duration and disease disability. Patients and methods: Case-control study included 34 patients with clinically definite relapsing remitting multiple sclerosis (RRMS) and 34 age- and sex-matched individuals (other than MS) served as the controls. They were selected from the inpatients wards and Outpatients Clinic of Neurology Department, Zagazig University Hospitals. All patients were subjected to full history taking, clinical examination as well as laboratory and specific investigations. Results: The mean age was 34.56 ± 8.79 years in MS patients and 34.03 ± 8.79 years in controls. VEP 42.9% is with delay of p100 wave in bilateral eyes, and prolongal p100 laterary in bilateral eyes in 54.3%. There was a highly statistical significant difference between groups as regard RNFL average thickness and RNFL symmetry. Expanded disability status scale (EDSS) showed independently associated with RNFL.Conclusion: The thickness of the RNFL observed by OCT in MS patients is dramatically reduced when compared to controls, according to the current study. OCT is a valuable tool for determining the thickness of the RNFL in MS patients