Exploring Semantic Interoperability in e-Government Interoperability Frameworks for intra-African collaboration: A Systematic Literature Review

While many African countries have called for ICT based intra-African collaboration, services, and trade, it is not known whether this call is technically feasible. For such intra-African based collaboration, semantic interoperability would be required between the national e-government systems. This paper reviewed the e-government interoperability frameworks (e-GIFs) of English and Arabic speaking African countries to identify the evidence and conflict approaches to semantic interoperability. The results suggest that only seven African countries have e-GIFs, which have mainly been adopted from the UK\u27s e-Government Metadata Standards (eGMS) and on Dublin\u27s Core metadata (DC). However, many of the e-GIFs, with the exception of Nigeria, have not been contextualized to the local needs. The paper, therefore, concluded that more effort needs to be placed in developing e-GIFs in Africa, with particular emphasis on semantic interoperability, if the dream of intra-African collaboration is to be achieved

Knowledge and Attitude of Population Towards Iodized Salt in Shendi Locality River Nile State in Sudan

Background: Iodine is observed as one of the most important trace elements in the human body, which is considered very essential during the synthesis of thyroid hormones. Iodine deficiency in humans can cause several diseases or problems, which include spontaneous abortion, increased infant mortality, cretinism, goiter, and mental defects. Methods: The study was conducted as a community based descriptive crosssectional study to determine the knowledge and attitude of the population towards iodized salt in Shendi locality, River Nile State, Sudan, during the period of 2013. In this study, 636 households were included. Questionnaire and observations were used as tools for data collection. The households were selected through a multistage cluster-sampling technique, 636 respondents were selected through systemic random sampling. Results: The study found that the knowledge of the respondents about iodized salt was poor. Out of 636 subjects, 356 (56%) were aware of iodine as a nutritional element. 279 (43.9%) identified that iodine is a chemical element. More than half of the respondents, 355(55.8%), were aware of sources of iodine in foods. The data showed that 299 (47%) of the respondents were aware of the main type of food which contains iodine. 356(56%) were aware of the fact that iodine deficiency had significant influence on the body. In addition, study revealed that 261(41%) of participant were aware of iodized salt. Only 48% of the population knew that iodized salt is necessary to alleviate iodine deficiency disorder. Conclusion: Based on our findings, we conclude that the household has poor knowledge, negative attitude, and poor practice about iodized salt. Hence, health authority should have to develop health education programs to increase the awareness of households about the significance of iodized salt. Also, it involves a proper handling of a continual and effective use of media for broadcasting health education programs

Distance based Modelling and Optimization of Wireless Sensor Network Energy Consumption with Adaptive Clustering using Genetic Algorithm

Wireless sensor network (WSN), as one of the most important technologies due to its wide variety of applications, consists of various densely deployed sensor nodes inside or very near to application area. WSNs work with several limitations related to resources like battery power, bandwidth, memory and etc. and hence node goes out of energy where it's impossible to recharge or replace the battery of nodes. It has been proved that, long communication distance between sensor nodes and base station (BS) can drain the energy. This paper proposes an approach to optimize the WSN energy consumption of nodes via optimizing the number of clusters that minimizes the transmission distance, for maximizing network lifetime. A genetic algorithm is proposed for sensor nodes clustering to find the optimal number of cluster heads that reduces the energy consumption. The proposed solution considers the communication distance, as a main factor, which is formulated as an objective function to be optimized for the mathematical model constrained by the number of cluster heads. The results were conducted using the proposed GA for different instances with different settings such as the population size, number of cluster-heads, and number of generations. The experimental results show that the algorithm achieved good results and it converges toward the optimal solution through the generations for the different instances. Moreover, the proposed approach reduces the energy consumption more efficient when compared with hierarchical clustering algorithm on minimizing the communicating distance. It is recommended to scale the algorithm to consider a trade-off between the total intra-cluster communication distance and total distance of cluster-heads to BS as a future work

Correlation between Findings in Physical Examination, Magnetic Resonance Imaging, and Nerve Conduction Studies in Lumbosacral Radiculopathy Caused by Lumbar Intervertebral Disc Herniation

Purpose. The aim of this study was to find out the correlation between magnetic resonance imaging (MRI) and nerve conduction studies’ (NCS) findings in patients with lumbosacral radiculopathy caused by lumbar intervertebral disc herniation. In addition, the study aimed at finding the correlation between the clinical manifestations of lumbosacral radiculopathy and both MRI and NCS. Patients and Methods. The study was a cross-sectional analytic study which included thirty patients with a history suggestive of lumbosacral radiculopathy. Inclusion criteria were as follows: patients who had an MRI confirmed L4/5 and/or L5/S1 intervertebral disc prolapse in addition to one or more of the following (dermatomal distribution of symptoms appropriate with MRI level, presence of motor weakness, sensory impairment, absent ankle jerk, or positive straight leg raising test). All patients underwent clinical assessment and NCS, and their MRI examination was reviewed. The Chi-Squared/Fisher’s exact test was used to test the correlation. Results. There was a statistically significant correlation between abnormal physical findings and nerve root compression in MRI. Statistically significant correlation was neither found between abnormal physical examination findings and abnormal NCS nor between nerve root compression in MRI and abnormal NCS findings. Conclusion. Abnormal neurological examination findings can be used to predict nerve root compression in MRI examination. On the contrary, positive findings of physical examination do not predict abnormal NCS, as well as negative findings do not exclude abnormal NCS; therefore, it is useful to add NCS when MRI findings do not match clinical examination findings or when no neuroimaging abnormalities can be identified

Nerve Conduction Studies in Patients with Lumbosacral Radiculopathy Caused by Lumbar Intervertebral Disc Herniation

Background. Nerve conduction studies (NCS) are electrodiagnostic tests used to evaluate peripheral nerves functions and aid in the assessment of patients with neuromuscular complaints. There is contrasting evidence concerning the use of NCS in the assessment of patients with lumbosacral radiculopathy. Objectives. This study was conducted to evaluate nerve conduction studies abnormalities in patients with lumbosacral radiculopathy and to find out their relation to abnormal physical examination findings. Materials and Methods. Twenty-seven patients with lumbosacral radiculopathy caused by L4/5 or L5/S1 intervertebral disc prolapse confirmed by magnetic resonance imaging (MRI) were recruited in the study. Twenty-five healthy subjects matched in age and sex served as control. Motor nerve conduction study bilaterally for both common peroneal and tibial nerves, F-wave for both nerves, and H-reflex had been conducted. Results. No significant difference was found in the motor nerve conduction study parameters (latency, amplitude, and conduction velocity) between the patients group and the control group. There was significant prolongation in H-reflex latency of both symptomatic and asymptomatic side in the patients group compared to the control group (P<0.05). Also, F-wave latencies (F minimum, F maximum, and F mean) of the tibial nerve were significantly prolonged (P<0.05) compared to control. Conclusion. Prolonged H-reflex latency was the commonest encountered abnormality in our study followed by F-wave latencies of the tibial nerve