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EN
Characterization of water quality in Lake Qarun indicated that the water is very poor for irrigation and aquatic life. At the same time, the bacterial community was represented mainly by five bacterial phyla with different proportions: Firmicutes (53%), Proteobacteria (33%), Bacteroidetes (7%), Actinobacteria (5%) and Thermi (1%). Furthermore, metagenomes prediction of bacterial communities using PICRUSt indicated important functional gene families associated with metabolism, environmental information, genetic information processing, and cellular processes. It is worth noting that Benzoate degradation had the highest average relative abundance, followed by aminobenzoate degradation among 18 individual KEGG pathways from xenobiotics biodegradation and metabolism which showed higher relative abundance. The obtained data indicate that a different source of pollution in Qarun Lakes has an impact on the bacterial community’s structure, as well as the biota and is expected to cause health problems.
EN
High-Throughput Data Acquisition Systems are an essential part in many scientific experiments, and the processing of the large amount of data, represents a challenge in designing systems capable of managing such volume of data. Owing to the nature of this type of experiments, the processes responsible for gathering the data from devices that measure real-world phenomena, and those processes in charge of distributing the data to monitoring and/or controlling systems, shall communicate with accuracy and reliability. By running those processes concurrently in a multi-processor computer system, such requirements of accuracy and reliability can be achieved. In this paper, we present the design of a C++ framework, which implements a ring-buffer by using shared-memory as a fast mechanism of data communication among processes. Likewise, the framework controls the access to data in the shared ring-buffer by implementing inter-process synchronization objects in shared-memory. The effectiveness of the proposed solution has been evaluated by evaluating the latency time from when a new data is written into the shared ring-buffer and the longest instant when such a data is gathered. After the experimental test, the results show that it is possible to develop a C++ framework for helping programmers to create data acquisition system when a high-throughput data-stream is involved, getting suitable performance by using shared-memory.
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