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Examines rainwater chemistry as it relates to atmospheric pollution in Southern Nigeria. Rainwater samples were collected and analysed for major cations and anions in Lagos, Ibadan and Port Harcourt, these sites reflecting industrial, residential and oil flaring regions respectively. In general, water samples from Ibadan were about neutral. Correlation studies revealed that HCl and H₂SO₄ dominated the slightly acidic rainwater in the Lagos and Port Harcourt areas respectively. The effect of marine spray from the Gulf of Benin was observed with trace of NaCl. The reaction of the much emitted NH₃ with the available SO₄^2– in the atmosphere produced (NH₄)₂SO₄ which acted as a neutralizer for samples from the Lagos area. The findings suggest that rainwater from most industrial cities of Nigeria are tending towards acidity and if oil flaring activities are not checked, there is a tendency of increasing acidic rainwater in the delta regions. The observation and findings are useful for preliminary assessments of the influence of rapid industrial and urban development on atmospheric pollution and indirectly rainwater constituents.

The purpose of this study is to consider how a local government authority may present a tree asset register of street trees for the decision-making of the authority's stakeholders.

Using the tenets of population density theory, urban form theory and social stratification theory, the approach of the study is to develop a tree asset register in a local government authority's setting that could be modelled using many different attributes to derive important information for decision-making purposes.

Tree asset registers represent a critical tool in managing street trees across local government authorities.

Although the efficacy of an asset tree register may be curtailed by lack of internal audit or yearly updates, the practical consequence of an asset tree register is that local administrators may use the register to gather summarised, organised and parsimonious measures of a wide range of environmental, historical, cultural, aesthetic and scientific values of street trees.

Tree asset registers affords ratepayers, developers, tree managers and valuers a technology to plan, coordinate and manage street trees to support ecosystem services.

Asset tree registers offer planners a means to bring about sustainable change management.

The originality of the study rests in introducing tree registers as a means to meet diverse strategies for street tree management by interested stakeholders.

Sexual harassment is a worldwide and prevalent problem that can have severe consequences. The #MeToo movement has highlighted that sexual harassment is not an isolated event and is linked to misogynistic cognitions and other forms of sexual violence. However, there is a lack of research regarding the relationship between sexual harassment and its nomological network, particularly in the general population. Therefore, the purpose of this paper is to explore the nomological network of harassment.

The aim of this study was to explore the relationship between perception of harassment and rape myths (RMS), with paraphilia (fantasy and behaviour) as mediators. In addition, the prevalence of paraphilia in the general population was explored and gender difference was analysed. Frequencies, Pearson's r correlations, independent sample t-tests and mediation analyses were conducted on a sample of n = 254 participants from the general population.

Analyses revealed that half of the sample have engaged in at least one paraphilia behaviour. Furthermore, correlations between a more lenient perception of harassment, RM acceptance and paraphilia were found, as well as significant gender differences. Finally, mediation models revealed a strong relationship between RM acceptance and a more lenient perception of harassment, with paraphilia mediating this relationship.

This study has several implications, highlighting the role of misogynistic cognitions in predicting a lenient perception of sexual harassment, and thus, proposing a key focus for prevention and intervention models.

This research is mostly conducted on male samples in these areas; thus, this study aimed to collect data from a diverse sample that may provide a better overview of sexual harassment and its nomological network.

The problem of motif discovery has become a significant challenge in the era of big data where there are hundreds of genomes requiring annotations. The importance of motifs has led many researchers to develop different tools and algorithms for finding them. The purpose of this paper is to propose a new algorithm to increase the speed and accuracy of the motif discovering process, which is the main drawback of motif discovery algorithms.

All motifs are sorted in a tree-based indexing structure where each motif is created from a combination of nucleotides: ‘A’, ‘C’, ‘T’ and ‘G’. The full motif can be discovered by extending the search around 4-mer nucleotides in both directions, left and right. Resultant motifs would be identical or degenerated with various lengths.

The developed implementation discovers conserved string motifs in DNA without having prior information about the motifs. Even for a large data set that contains millions of nucleotides and thousands of very long sequences, the entire process is completed in a few seconds.

Experimental results demonstrate the efficiency of the proposed implementation; as for a real-sequence of 1,270,000 nucleotides spread into 2,000 samples, it takes 5.9 s to complete the overall discovering process when the code ran on an Intel Core i7-6700 @ 3.4 GHz machine and 26.7 s when running on an Intel Xeon x5670 @ 2.93 GHz machine. In addition, the authors have improved computational performance by parallelizing the implementation to run on multi-core machines using the OpenMP framework. The speedup achieved by parallelizing the implementation is scalable and proportional to the number of processors with a high efficiency that is close to 100%.