A study in Egypt determined the prevalence of hepatitis B and C virus infections among barbers (n = 308) and their clients (n = 308) in Gharbia governorate, and assessed knowledge, attitude and practices during hair-cutting and shaving. HBsAg was detected among 4.2% of barbers and 3.9% of clients (more urban than rural). Anti-HC antibodies were detected in 12.3% of barbers and 12.7% of clients. HCV-RNA prevalence was 9.1% among both barbers and clients (more rural than urban). Knowledge was high among the majority of participants and good practices during shaving and hair-cutting were observed for the majority of barbers. Barbers appeared to have no job-related risk of acquiring viral hepatitis.

Over the recent past, the global market of electrical and electronic equipment (EEE) has grown exponentially, while the lifespan of these products has become increasingly shorter. More of these products are ending up in rubbish dumps and recycling centers, posing a new challenge to policy makers. The purpose of this paper is to provide a review of the e-Waste problem and to put forward an estimation technique to calculate the growth of e-Waste.

In cognitive radio communication, spectrum sensing plays a vital role in sensing the existence of the primary user (PU). The sensing performance is badly affected by fading and shadowing in case of single secondary user(SU). To overcome this issue, cooperative spectrum sensing (CSS) is proposed. Although the reliability of the system is improved with cooperation but existence of malicious user (MU) in the CSS deteriorates the performance. In this work, we consider the Kullback-Leibler (KL) divergence method for minimizing spectrum sensing data falsification (SSDF) attack. In the proposed CSS scheme, each SU reports the fusion center(FC) about the availability of PU and also keeps the same evidence in its local database. Based on the KL divergence value, if the FC acknowledges the user as normal, then the user will send unified energy information to the FC based on its current and previous sensed results. This method keeps the probability of detection high and energy optimum, thus providing an improvement in performance of the system. Simulation results show that the proposed KL divergence method has performed better than the existing equal gain combination (EGC), maximum gain combination (MGC) and simple KL divergence schemes in the presence of MUs.

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