<p>With the deterioration of political and security situations in Somalia and Kenya’s involvement in the war against al-shabaab as well as its political miscalculation and the lack of exit plan, add to this, the fading democratic conditions in Eritrea, accompanied by the political uncertainties in Ethiopia, since the demise Meles Zenawi Asres and the extermination of the opponents, as shown in last general election, as well as the one-man-show political scenario in Uganda and the likely disintegration of Tanzania into Zanzibar and Tanganyika, indicated by the ongoing elections; the political future of East African governments is predictably taking erroneous turns. It seems therefore, God forbids, there is a political catastrophe in the making as far as the state as an authoritative institution is concerned in East Africa.<br />One observes that the social fabric of these states, take Kenya, which used to be a solid in its social and political values, as an example, is drastically changing into a pattern-of-Somali-like tribal syndrome. The expiration of the government institutions, civil societies, law and order in Eritrea, the austere political future of Djibouti, the irrepressible and incurable wounds of Burundi and Rwanda are shrilling pointers of such fear.<br />Not to forget, the strained Muslim-Christian relations, which is now deeply rooted in these communities and states, the thick-headedness of most East Africa’s political leaders and the rapid increase of the youth population as well as the proxy war in business between China and the West on the region. These factors are the core indicators of the future of state and strong government in East Africa. The study covers several nations in East Africa including Burundi, Djibouti, Eritrea, Ethiopia, Kenya, Rwanda, Somalia, Tanzania, and Uganda.</p>

Every year, millions of people die from fatalities on the road. This paper develops a lane departure warning system that will alert the driver when the driver may be veering off the road. Recent advances in Deep learning and Artificial Intelligence have shown that Convolutional Neural Networks can be excellent at extracting and identifying features in an image. However, Convolutional Neural Networks are often run on Expensive GPU's with colossal memory and typically run millions of operations in a second. This is a challenging problem for embedded characterized by limited memory or processing power and a real-time capability. In this paper, a lightweight, robust and low memory architecture is explored to enable its incorporation as an embedded system. The proposed final architecture utilizes a novel semantic regression technique that integrates the accuracy of semantic segregation and the speed of regression. An end-to-end Deep learning system is used which takes images as an inputs and outputs the found lane in one shot. The developed system achieves 91.83% accuracy on Malaysian roads.

The mixed reactions on the use of the internet technology which have resulted in different debates and crimes in the cyber world calls for assessment of the Islamic point of view of the issue. Cyber world created avenue for the Muslim Ummah in a form of virtual global community and it encouraged dialogue as well as access to information on a real time basis; and above all facilitated easy access to the Qur'an. Nonetheless, th same tool has opened doors for crimes such as pornography, victimization, bullying, stalking etc. Hence this study reviews the benefits of the internet technology and consequences of its misuse. The frame of reference in measuring both the negative and positive aspects of this technology will be the Islamic standpoint.

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