The research study provides an in-depth analysis of content types for an Islamic social networking platform to offer digital content strategies for conveying their messages across the target audience. As the starting point for engaging in social media usage is to monitor the social media presence of relevant people and organisations an analysis of 25 most connected Islamic leaders and groups in Turkey has been included in this research study. A real-time social media analysis has been used via means of Social Mention. Use of social media of these individuals and groups is not linear, but involves multiple stages of monitoring and utilising opportunities to learn, engage with others, and use this influence to share their message. This research study identified that the challenges of social media efforts of these groups related to the lack of production of video or multimedia products (such as Flash animation videos or short video clips) which attract most of the target audience, challenges in delivering the message in multilanguage. The analysis in this research study suggests that an Islamic social networking platform can contribute to reducing some of the key barriers to advocacy of these religious leaders. These barriers include the lack of time, resources, access to media and ability to exert adequate influence to create change.

The aim of this study was to establish correlations between the identified phytocompounds in the fruit essential oil of Thuja orientalis from Nigeria and their medicinal properties (free radical scavenging, antioxidant and antimicrobial). Forty-seven compounds were identified in the fruit essential oil of T. orientalis making up 97.5% of the total percentage composition. The essential oil was predominantly made up of monoterpenoids (62.2%). The most abundant components was 1R-α-pinene (15.2%) followed by α-pinene (9.6%), 1S-α-pinene (5.6%), cyclofenchene (5.6%), (+)-3- carene (4.5%), DL-pinene (4.5%) and trans-β-ocimene (4.0%). The high amount of terpenoids leads to more potent radical scavenging, antioxidant and antibiotic properties. The essential oil showed high potential as natural antioxidant and free radical inhibitor with IC50 value: 2.5μgml-1, the percentage inhibition of free radical ranged between 68-70%. Screening of the fruit essential oil for antimicrobial activities using the agarwell diffusion assay showed that the oil had high antibacterial properties against all bacteria isolates tested with zones of inhibition ranging from 10-30 mm. This study confirms that the fruit essential oil of this plant contains phytochemicals that can form the basis for the development of a potential natural antioxidant and antibiotic which are safe, cheap, and readily available at a large scale for pharmaceutical industries for further investigation and processing.

This study examined the phytochemicals and medicinal properties of the floral essential oil of O. basilicum var. purpureum from Nigeria. The GC and GC-MS analyses revealed the presence of twenty-five organic compounds making up 99.7% of the total percentage composition of the essential oil. The most abundant components was phenolic compound called methyleugenol (15.5%), followed by 2- phenyl-1-hexanol (14.0%), 1-(4,5-dimethyl-2-nitrophenyl)-1Htetraazole (14.0%), 2-methyl-3,5-dodecadiyne (14.0%), onitrocumene (14.0%) and patchoulane (6.7%). The total phenolic content was quantitatively determined as 459 μgmg-1 gallic acid equivalent (GAE) confirming the presence of high amount of phenolic compounds in the floral essential oil. The DPPH IC50 value was 1.0 μgml-1, the essential oil was capable of scavenging free radicals in a range of 73-86% and the antioxidant power of the essential oil increased with concentration. The essential oil was found to be 90% more active than the synthetic antioxidant (ascorbic acid). The essential oil was also found to exert excellent antibacterial properties compared to standard antibiotics. The floral essential oil was significantly active against all tested species of Gram-positive and Gram-negative bacteria with high zones of inhibition between 15-30mm. The bacteria inhibition of the essential oil was found to be positively correlated with their terpenoid and phenolic contents. The results from this study indicated that the floral essential oil showed potential as a good source of natural antioxidant and antimicrobial drugs and may impart health benefits by its pharmacological properties.

For dictionary-based decompositions of certain types, it has been observed that there might be a link between sparsity in the dictionary and sparsity in the decomposition. Sparsity in the dictionary has also been associated with the derivation of fast and efficient dictionary learning algorithms. Therefore, in this paper we present a greedy adaptive dictionary learning algorithm that sets out to find sparse atoms for speech signals. The algorithm learns the dictionary atoms on data frames taken from a speech signal. It iteratively extracts the data frame with minimum sparsity index, and adds this to the dictionary matrix. The contribution of this atom to the data frames is then removed, and the process is repeated. The algorithm is found to yield a sparse signal decomposition, supporting the hypothesis of a link between sparsity in the decomposition and dictionary. The algorithm is applied to the problem of speech representation and speech denoising, and its performance is compared to other existing methods.

The objective of this Paper is to expose the quality of leadership that we have in Zimbabwe and thereafter to come up with a Summary, Conclusion and Recommendations designed for risk treatment.

Big data is an evolving term that describes any voluminous amount of structured, semistructured and unstructured data that has the potential to be mined for information.Today’s world produces a large amount of data from various sources, records and from different fields termed as “BIG DATA”. Such huge data is to be analyzed, and filtered using various techniques and algorithms to extract the interested and useful data to gain knowledge. In the new era with the boom of both structured and unstructured types of data, in the field of genomics, meteorology, biology, environmental research and many others, it has become difficult to process, manage and analyze patterns using traditional databases and architectures. It requires new technologies and skills to analyze the flow of material and draw conclusions. So, a proper architecture should be understood to gain knowledge about the Big Data. The analysis of Big Data involves multiple distinct phases such as collection, extraction, cleaning, analysis and retrieval.

Smartphones enable a new, rich user experience in pervasive computing. The major problem with Smartphone is that hardware resources such as CPUs, memory and batteries are still limited. To solve this resource problem, many researchers have proposed architectures to use server resources in the cloud for mobile devices. This paper proposes a conceptual architecture where mobile application platform share the software as a service among multiple users on cloud server via network.

In this paper we study the energy cost (protocol processing and communication cost) and goodput of different flavors of TCP (Transmission Control Protocol) in ad hoc networks.We implemented a tes tbed and measured the actual energy cost as well as goodput of running TCP Reno, Newreno, SACK (Selective ACKnowledgement) and a version that combines Explicit Link Failure Noti_cation (ELFN)and Explicit Congestion Noti_cation (ECN) in Newreno. We see that the use of ECN & ELFN does yield higher good put in most cases with a corresponding lower total energy cost. We see an energy savings of between 20% and 500% depending on the network conditions.

Cloud registering can be viewed as a model that gives system access to an imparted pool of assets, such as Storage and computing power, which can be rapidly provisioned and released with minimal management effort. This paper portrays an examination action in the region of portable cloud registering. It highlights diverse open issues which are related with the portable utilization of cloud processing. By making a list of criteria for those issues, diverse arrangements are compared against each other. the solutions discussed in this paper concentrate on diverse parts of cloud processing in relationship with portable utilization. Each of the exhibited arrangements offers atleast one satisfactory approach for one of the open issues that are related with the portable utilization of cloud processing assets. By consolidating the diverse existing approaches it would be possible to create an answer that covers most of the issues currently identified.

Background: Pseudomonas aeruginosa is emerging as a nosocomial pathogen by producing Metallo Beta lactamases and acquiring resistance to many antimicrobial agents. Materials and methods: 132 isolates of Pseudomonas aeruginosa from various clinical samples were tested for MBL production by double disk synergy method. Antibiotic susceptibility pattern was done by comparing non-MBL producers and MBL producers. Results: Pseudomonas aeruginosa was isolated from Pus-39.39%, from urine-37.87%, sputum-3.03%. MBL producers were 44(33.34%), non MBL producers were 88(66.6). all MBL producers were 0% sensitive to Imipenem and Meropenem.