504 research outputs found

    Evaluation of the 25 January Revolution from the Perspective of Change Management

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    Although Many people broadly believed that Egyptians were no longer able to rebel or even protest and that Egyptian youth was completely absentminded to stay away from the worries of their country and everything related to mind and politics, the youth of Egypt has undeniably made one of the most significant Egyptian uprisings after 30 years of deadlock and frustration. The 25 January Revolution publically unveiled the regime's political and economic corruption and guided the people to protest peacefully against a regime that marginalized, ignored and tried intentionally by all means to underestimate their magnificent potential values. Finally, Egyptians made use of their new communication media (social communication tools) to lead a democratic transformation process of a real change that can eventually fulfill a political, economic and social reform for bread, freedom and social justice

    Errors Analysis of Solving Linear Inequalities among the Preparatory Year Students at King Saud University.

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    The purpose of This study aims to investigate the errors classes occurred by the Preparatory year students at King Saud University, through analysis student responses to the items of the study test, and to identify the varieties of the common errors and ratios of common errors that occurred in solving inequalities. In the collection of the data, the researcher employed the open-ended questions test consisted of nine items distributive on three types of inequalities (linear, involve absolute value and fractional). In the data analysis, descriptive analysis method was used. The result sho­wed that some students had some misconceptions and misunderstanding in solving types of inequalities. The greatest common errors ratio was (20%) in solving linear inequality come from the class “Errors in basic algebraic operations and deletion. But the ratio (22%) were the greatest common errors ratio in solving fractional and involving absolute value inequalities come from the class errors in absent meaning of inequality. Keywords: inequality, Common Errors, Misconception, Mathematics Education

    BH-centroids: A New Efficient Clustering Algorithm

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    The k-means algorithm is one of most widely used method for discovering clusters in data; however one of the main disadvantages to k-means is the fact that you must specify the number of clusters as an input to the algorithm. In this paper we present an improved algorithm for discovering clusters in data by first determining the number of clusters k, allocate the initial centroids, and then clustering data points by assign each data point to one centroid. We use the idea of Gravity, by assuming each data point in the cluster has a gravity that attract the other closest points, this leads each point to move toward the nearest higher gravity toward the nearest higher gravity point to have at the end one point for each cluster, which represent the centroid of that cluster. The measure of gravity of point (X) determined by its weight, which represent the number of points that use point X as the nearest point. Our algorithm employ a distance metric based (eg, Euclidean) similarity measure in order to determine the nearest or the similar point for each point. We conduct an experimental study with real-world as well as synthetic data sets to demonstrate the effectiveness of our techniques

    Computer Vision and Sensor Fusion for Autonomous Vehicles

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    Cars, particularly manually-driven cars, are one of the most commonly used modes of transportation today. However, millions of people are either killed or left with disabilities annually due to road traffic accidents caused by human error or sensor failures. Despite that, a lot of people seem reluctant to look into alternatives to manually driven vehicle transportation. This is understandable as driving cars has been the trustworthy mode of transportation for many years, and it is widely used in everyday life around the world. However, technological advances in the fields of machine learning and cyber-physical systems contributed to the emergence of nearly or fully autonomous vehicles, or driverless cars, as a true viable alternative for the current human-controlled driving mode. The technology still has a long way to go, mainly because the advances in vision and depth measurement sensors such as LIDARs can not achieve the levels of safety needed to make fully autonomous cars. Progress on this front is being made every day, and it seems inevitable that they will be readily available in the near future. Our team aims to further investigate the application of Computer Vision and sensor fusion to achieve independent self-driving without external guides. To accomplish this, we combine a depth camera with a LiDAR to provide better coverage of the surroundings and allow more accurate detection and thus accurate avoidance of obstacles. We are mounting the vision system on a model driverless car and using the vision data to guide the car control system. A computer vision algorithm will be run by the NVIDIA Jetson Nano to determine what course of action the car should take. The final prototype should be capable of driving at a reasonable speed without colliding with any objects and making decisions such as braking or turning when necessary

    Hypertension Prevalence, Awareness, Treatment and Control, and Associated Factors: Results from a National Survey, Jordan

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    The study examined prevalence, awareness, treatment and control of hypertension (HTN), and associated factors and to evaluate the trend in hypertension between 2009 (period 2) and 1994–1998 (period 1). A national sample of 4117 adults aged 25 years and older was selected. Prevalence rate of HTN (SBP ≥ 140 or DBP ≥ 90 or on antihypertensive therapy) was 32.3% and was higher than the 29.4% prevalence rate reported in period 1. Prevalence rate was significantly higher among males, older age groups, least educated, obese, and diabetics than their counterparts. The rate of awareness among hypertensives was 56.1% and was higher than the 38.8% rate reported form period 1 data. Awareness was positively associated with age, smoking, and diabetes for both men and women, and with level of education and body mass index for men. Rate of treatment for HTN among aware patients was 63.3% and was significantly higher than the 52.8% rate reported in period1. Control rate of HTN among treated hypertensives was 39.6%; significantly higher than the 27.9% control rate in period 1. Control of HTN was positively associated with age but only for women. In conclusion, HTN is still on the rise in Jordan, and levels of awareness and control are below the optimal levels

    Proteomic quantification of perturbation to pharmacokinetic target proteins in liver disease

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    Model-based assessment of drug pharmacokinetics in liver disease requires quantification of abundance and disease-related changes in hepatic enzymes and transporters. This study aimed to assess performance of three label-free methods [high N (HiN), intensity-based absolute quantification (iBAQ) and total protein approach (TPA)] against QconCAT-based targeted data in healthy and diseased (cancer and cirrhosis) liver tissue. Measurements were compared across methods and disease-to-control ratios provided a ‘disease perturbation factor’ (DPF) for each protein. Mean label-free measurements of targets correlated well (Pearson\u27s coefficient, r = 0.91–0.98 p \u3c 0.001) and with targeted data (r = 0.65–0.95, p \u3c 0.001). Concordance with targeted data was generally moderate (Lin\u27s concordance coefficient, ρc = 0.46–0.92), depending on methodology. Moderate precision and accuracy were observed for label-free methods (average fold error, AFE = 1.44–1.68; absolute average fold error, AAFE = 2.44–3.23). The DPF reconciled the data and indicated downregulated expression in cancer and cirrhosis, consistent with an inflammatory effect. HiN estimated perturbation consistently with targeted data (AFEHiN = 1.07, AAFEHiN = 1.57), whereas iBAQ overestimated (AFEiBAQ = 0.81, AAFEiBAQ = 1.67) and TPA underestimated (AFETPA = 1.37, AAFETPA = 1.65) disease effect. Progression from mild to severe cirrhosis was consistent with progressive decline in expression, reproduced by HiN but overestimated by iBAQ and underestimated by TPA (AFEHiN = 0.98, AFEiBAQ = 0.60, AFETPA = 1.24). DPF data confirmed non-uniform disease effect on drug-elimination pathways and progressive impact of disease severity

    Case Report: An association of the gubernacular canal, supernumerary tooth and odontoma with an impacted canine on cone-beam computed tomography [version 2; peer review: 3 approved]

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    This report describes a clinical case of asymptomatic compound odontoma in the anterior left side of the maxilla associated with an impacted canine and supernumerary tooth with a gubernacular canal of a 47- year-old female with no relevant medical history. Cone-beam computed tomography (CBCT) was performed for precise threedimensional localization of each structure and assessment of their spatial relationship with the associated structures before surgery. The treatment protocol involved surgical enucleation of the odontoma and open extraction of both impacted and supernumerary teeth. The patient had uneventful healing and proceeded with the prosthodontic treatment plan. The dentist should be aware of the probability of a close relationship between the development of odontoma and presence of the gubernacular tract, which could be used as a future radiographic diagnostic criterion of an odontoma. Also, we recommend that more studies be performed in this field to deeply analyze the imaging characteristics of GT and its spatial association with various pathological lesions in the future.Grant information: This research was funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the Fast-track Research Funding Program.Scopu

    Search for Evidence of the Type-III Seesaw Mechanism in Multilepton Final States in Proton-Proton Collisions at root s=13 TeV

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