498 research outputs found

    The impact of trusted and secured transactions in an e-commerce environment on consumers’ behaviour : the case of Saudis in the UK

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    The work reported in this paper is part of a larger study that attempts to compare the online activities of Saudis living in Saudi Arabia and those living in the United Kingdom (UK). The study aims to answer the question on whether the environment plays a key role and impact on the activities of Saudis online customers. This paper deals only with the research conducted in the UK and attempts to understand the activities and perception of Business to Customer (B2C) E-Commerce (EC) among Saudis living in the UK. This study tries to assess the impact of the environmental change on the online shopping behaviour. Quantitative data was collected from 169 Saudis living in the UK. Trust in both security and payment (SP) were tested as well as nine hypotheses. The results confirm that there is a high number of Saudi residents living in the UK trusting the security and payment systems when engaging in online transactions in the UK. Furthermore, the outcomes of hypotheses testing show that the new secured and trusted environment affects Saudis consumers in the UK. Hence, these primary results suggest that the environment plays an important role in changing the shopping behaviors of online customers

    The impact of social influence and third party endorsement on online shopping in Saudi Arabia

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    It is well documented that social influence and third party endorsements play a significant role in developing trust in E-Commerce. Previous studies have shown that it is relatively true in many countries and across cultures. However, very few studies were conducted in the Middle East and to our knowledge this was the first time to consider family members and friends Recommendation with the context of social influence conducted within Saudi Arabia. The research reported in this paper attempts to investigate whether the findings from previous studies will be similar in Saudi Arabia. Specifically, this study will evaluate the impact of social influence and endorsements on online shopping and whether this plays an important role in increasing online shopping in Saudi Arabia. The results of this study are based on quantitative data collected from a sample of 606 Saudis citizens living in Saudi Arabia. Four factors connected to the impact of social influence and third party endorsements in online shopping are examined. The initial findings of this research confirm that there are similarities with the results of previous studies conducted in other countries. Similarly, the impact of social influence and third party endorsements seems to encourage and support the development of online shopping in Saudi Arabia

    Current state on internet growth and usage in Saudi Arabia and its ability to support e-commerce development

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    It is widely recognized that the Internet has been rapidly growing and massively used in recent years. Previous studies have revealed that this is true for Internet users across the world. Likewise it is reported, lack of ICT infrastructures is one of the main reasons behind lack of spread of E-Commerce. The study attempted to understand the state of Internet growth and activities usage and its ability to support E-Commerce development. Little attention has been paid to testing particular questions in this study which proper investigation can help in understanding the prospects of the development and adoption of E-Commerce. The current study will attempt to confirm whether similar growth and usage of the Internet is also happening in Saudi Arabia and whether this will help in establishing a platform of E-Commerce development. Quantitative data was gathered from 606 Saudis living in various parts of Saudi Arabia. Four questions related to the use of the Internet in Saudi Arabia are tested. The outcome shows that the findings are similar to those of other countries. In addition, individuals’ readiness to use the Internet as their main shopping medium is approved by more than half of the sample used

    Study of the propolis extract as a corrosion inhibitor of copper alloy in ethylene glycol/water 0.1 M NaCl

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    The effect of propolis extract as a corrosion inhibitor of copper alloy in ethylene glycol / water 0.1 M NaCl solution was studied by electrochemical measurements. The Tafel polarization curves showed that the propolis extract at different concentration acts as mixed inhibitor, and the maximum value of the inhibitory efficacy is 73.28% at optimum concentration of 1.25 g/L of propolis extract. The activation parameters reveal that the inhibitor molecules on copper surface are absorbed by physisorption and obey Langmuir isotherm adsorption. These results were supplemented by IR Spectroscopy, Scanning electron microscopy (SEM) and EDX spectrum of chemical composition. The metal solution interface is simulated as a physical model by using Electrochemical Impedance Spectroscopy (EIS).Keywords: Copper Alloy, Propolis extract, ethylene glycol; Corrosion inhibition; Adsorption, Electrochemical impedance Spectroscopy (EIS

    The effect of a different environment on providing personal information when engaging in E-commerce : the case of Saudis in the UK

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    The results reported in this paper are part of a study comparing the online behaviour of Saudis living in Saudi Arabia (SA) and those living in the United Kingdom (UK). It is acknowledged that culture and the environment play an important role to develop trust in E-Commerce and particularly when providing personal information. Previous studies have shown that this is particularly true for Saudis leaving in Saudi Arabia and this has affected the development of E-Commerce. The current study looks at the behaviour of Saudis living in a different environment and investigates on whether the new environment affects their behaviour. Quantitative data was gathered from 169 Saudi who live in the UK. The factor tested are related to “culture” and composed of 5 personal information and an aggregation of this information for male and females. The early results of this study show that there are some changes that have been noticed in the behaviour of Saudi living in the UK. However, some cultural aspects still remain within the community

    Le kyste hydatique facial isole

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    Le kyste hydatique se présente exceptionnellement comme une masse faciale. Nous rapportons le cas d’un kyste hydatique de la région temporo-jugale chez un patient de 20 ans révélé par une tuméfaction faciale isolée. Le bilan radiologique a montré une formation liquidienne avec pseudo cloisons siégeant au niveau des parties molles temporales gauche. C’est l’exploration chirurgicale qui a posé le diagnostic de kyste hydatique, confirmé par l’étude anatomopathologique. Elle a permis une kystectomie totale. L’évolution a été marquée par l’absence de récidive à 3 ans.Mots clès : Kyste hydatique, face, kystectomie

    Combining deep and handcrafted image features for MRI brain scan classification

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    Progresses in the areas of artificial intelligence, machine learning, and medical imaging technologies have allowed the development of the medical image processing field with some astonishing results in the last two decades. These innovations enabled the clinicians to view the human body in high-resolution or three-dimensional cross-sectional slices, which resulted in an increase in the accuracy of the diagnosis and the examination of patients in a non-invasive manner. The fundamental step for MRI brain scans classifiers is their ability to extract meaningful features. As a result, many works have proposed different methods for features extraction to classify the abnormal growths in brain MRI scans. More recently, the application of deep learning algorithms to medical imaging lead to impressive performance enhancements in classifying and diagnosing complicated pathologies such as brain tumors. In this study, a deep learning feature extraction algorithm is proposed to extract the relevant features from MRI brain scans. In parallel, handcrafted features are extracted using the modified grey level co-occurrence matrix (MGLCM) method. Subsequently, the extracted relevant features are combined with handcrafted features to improve the classification process of MRI brain scans with SVM used as the classifier. The obtained results proved that the combination of the deep learning approach and the handcrafted features extracted by MGLCM improves the accuracy of classification of the SVM classifier up to 99.30%

    Lipome geant parapharynge

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    L’espace parapharyngé est une région anatomique complexe. Seulement 0,5% des tumeurs de la tête et cou se localisent à ce niveau. elles sont essentiellement représentées par les tumeurs nerveuses, salivaires et vasculaires, les lipomes ont été exceptionnellement décrits. Notre observation a un double intérêt : documenter cette rareté et faire une mise au point sur l’abord chirurgical de cette région.Mots clés :Lipome, espace parapharyngé, chirurgi

    Estudio cinético de la extracción de aceite de orujo

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    The kinetics of oil extraction from olive foot cake can be explained by a model based on two stages. The first step corresponds to a simple washing of the oil from the particle surface. In the second step, the extraction is controlled by two mechanisms: slow diffusion from broken cells and very slow diffusion from intact cells.The kinetic coefficients of this mathematical model are calculated using the experimental results obtained from hexane and commercial ethyl alcohol for different particle sizes.La cinética de extracción de aceite de orujo puede ser explicada por un modelo basado en dos etapas. La primera etapa corresponde a un simple lavado del aceite de la superficie de las partículas. En la segunda etapa, la extracción esta controlada por dos mecanismos: difusión lenta desde las células rotas y difusión muy lenta desde las células intactas.Los coeficientes cinéticas de este modelo matemático se calculan usando los resultados experimentales obtenidos con hexano y alcohol etílico comercial para diferentes tamaños de partícula
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