Considering the potential health hazardous effects, the distribution and deposition of heavy metals and trace elements including Mn, Fe, Cu, Zn, Cd, Cr, and Pb in different tissues (skin, brain, liver, meat, and bone) of broiler and layer chickens, their feeds, litter, and eggs were analyzed using atomic absorption spectrophotometer (AAS) after nitric/perchloric acid digestion. The samples for this study were taken from four poultry industries located at Sreepur upazila of Gazipur district of Bangladesh. The observed levels of heavy metals and trace element contents in different studied samples were to be in the range of 0.143±0.001 to 7.324±0.004 mg/kg for Mn, below the detection limit (BDL) to 324.43±0.003 mg/kg for Fe, 0.451±0.002 to 4.329±0.005 mg/kg for Cu, 0.014±0.001 to 7.413±0.003 mg/kg for Zn, 0.082±0.002 to 7.806±0.002 mg/kg for Cr, 0.112±0.002 to 1.581±0.002 mg/kg for Cd, and BDL to 34.775±0.004 mg/kg for Pb. Although some elements were found at a lower concentration in feed samples, they were found at a higher level in various parts of the examined chickens, eggs, and litter which may be resulted from other sources such as drinking water, soil, and the surrounding environment of the poultry industries. The brain contained a maximum amount of Cd, Cr, and Pb in comparison to other studied tissues of poultry. Most of the chicken body parts showed an excess level of Cr than the recommended guidelines. The Cu and Zn contents were usual in studied egg samples, whereas Mn, Fe, Cd, Cr, and Pb were found higher than their tolerance limits which are highly alarming for public health and demand regular governance and monitoring. Asian Australas. J. Biosci. Biotechnol. 2021, 6 (3), 128-141
To increase the redundancy and to provide seamless connectivity of the conventional communication systems, an unmanned aerial vehicle (UAV) enabled on-demand forwarding base station approach can be a flexible and dynamic solution, particularly for emergency services. However, managing and controlling these UAVs in changing scenarios can be challenging specifically in large-scale network scenarios. As a promising method of administering these networks, software-defined networking (SDN) can be a good choice compared to traditional networking due to its automated, centralized, and intellectual controllability. Therefore, to meet the future sixth-generation wireless communication requirements with high network availability, improved communication convergence, and intelligent features, a software-defined UAV (SDUAV) networking framework is proposed in this work. To enhance the reliability and scalability, and to reduce the single-point failure issues of this network, a multi-SDN controller-based approach is also deployed in this newly designed architecture. Besides, to solve the load balancing and fault tolerance problems like controller overhead or cascading failure, an adaptive load balancing algorithm as well as a robust hybrid routing algorithm are developed, accordingly. In addition, to evaluate the performance of the proposed architecture, a mathematical model is proposed by using the M/M/1 and M/M/c queueing systems at the primary and secondary controllers, respectively. Simulation results show that the proposed model reduces the packet processing time by 60%, 44%, and 25% in terms of packet arrival rate, service rate, and utilization factor, respectively, compared to the existing control-domain adjustment algorithm.
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