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The IEEE 802.11 wireless local-area network (WLAN) has been deployed around the globe as a major Internet access medium due to its low cost and high flexibility and capacity. Unfortunately, dense wireless networks can suffer from poor performance due to high levels of radio interference resulting from adjoining access points (APs). To address this problem, we studied the AP transmission power optimization method, which selects the maximum or minimum power supplied to each AP so that the average signal-to-interference ratio (SIR) among the concurrently communicating APs is maximized.However, this method requires measurements of receiving signal strength (RSS) under all the possible combinations of powers. It may need intolerable loads and time as the number of APs increases. It also only considers the use of channel bonding (CB), although non-CB sometimes achieves higher performance under high levels of interference. In this paper, we present an AP interface setup optimization method using the throughput estimation model for concurrently communicating APs. The proposed method selects CB or non-CB in addition to the maximum or minimum power for each AP. This model approach avoids expensive costs of RSS measurements under a number of combinations. To estimate the RSS at an AP from another AP or a host, the model needs the distance and the obstacles between them, such as walls. Then, by calculating the estimated RSS with the model and calculating the SIR from them, the AP interface setups for a lot of APs in a large-scale wireless network can be optimized on a computer in a very short time. For evaluation, we conducted extensive experiments using Raspberry Pi for APs and Linux PCs for hosts under 12 network topologies in three buildings at Okayama University, Japan, and Jatiya Kabi Kazi Nazrul Islam University, Bangladesh. The results confirm that the proposed method selects the best AP interface setup with the highest total throughput in any topology. [ABSTRACT FROM AUTHOR]

The present study aims to examine the distribution, sources and potential risks of toxic metals in the northern Bay of Bengal, Bangladesh. We found Cu, Pb, Zn and Hg exhibited similar spatial distribution pattern. Influenced by the Ganges-Brahmaputra River and the Karnafuli River, there were higher concentrations of these metals associated with the finer sediment and higher TOC in the northeastern portion of the study area. Moreover, coal transportation was assumed to account for the distinctive spatial distribution of As with higher concentration down the Port of Chittagong in the eastern boundary. Chemical-screening level assessment demonstrated the majority of the metals exceeded the threshold effect values, indicating certain possibility of adverse effect. The concentrations of Ni were higher than the possible hazardous values, suggesting high possibility of harmful consequences. The uncontaminated sediments mainly distributed in northwestern and the central portions affected by the delta erosion and marine transported sediments. • Eight toxic metals were studied in the northern Bay of Bengal, Bangladesh. • Ganges-Brahmaputra River and the Karnafuli River are the main metal sources. • Coal transportation accounts for the high As content down the Port of Chittagong. • Metal contamination in this area should receive considerable attention. [ABSTRACT FROM AUTHOR]

Whole exome sequencing in two-generational kindred from Bangladesh with early onset spasticity, mild intellectual disability, distal amyotrophy, and cerebellar atrophy transmitted as an autosomal recessive trait identified the following two missense mutations in the EXOSC3 gene: a novel p.V80F mutation and a known p.D132A change previously associated with mild variants of pontocerebellar hypoplasia type 1. This study confirms the involvement of RNA processing proteins in disorders with motor neuron and cerebellar degeneration overlapping with spinocerebellar ataxia 36 and rare forms of hereditary spastic paraplegia with cerebellar features.