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Enhancing visitor experiences is arguably the primary and most important goal for interpretation by many protected area managers and tourism business. However, little research has been conducted in Sarawak, Malaysia to directly quantify the effects of thematic interpretation has on tourist experiences. Drawing on the TORE-model of interpretation and through the inception of Park Guiding Training and Licensing System in Sarawak since 2007, this quantitative study examines the effectiveness of thematic interpretive guided tours delivered by park guides at Bako National Park, Sarawak, with the assumption that it will further enhance visitor experiences. A descriptive analysis and Pearson's product-moment correlation analysis of sub-indicators of the global evaluation of interpretation of site, and sub-indicators of elaboration surveyed from visitors of purposively sampled park guides revealed a strong measurement and correlation coefficients of visitors’ overall quality of thematic intepretive guided tours effecting visitor satisfaction and experiences. These findings provide empirical evidence that good thematic interpretive guided tour makes a positive impacts on visitor experiences, thus making training of tourism businesses' employees as park guides as a good investment. The suggestions for further research in influencing visitor attitude and shaping visitor behaviour are offered.

Abstract Background RNA-seq is revolutionizing the way we study transcriptomes. mRNA can be surveyed without prior knowledge of gene transcripts. Alternative splicing of transcript isoforms and the identification of previously unknown exons are being reported. Initial reports of differences in exon usage, and splicing between samples as well as quantitative differences among samples are beginning to surface. Biological variation has been reported to be larger than technical variation. In addition, technical variation has been reported to be in line with expectations due to random sampling. However, strategies for dealing with technical variation will differ depending on the magnitude. The size of technical variance, and the role of sampling are examined in this manuscript. Results In this study three independent Solexa/Illumina experiments containing technical replicates are analyzed. When coverage is low, large disagreements between technical replicates are apparent. Exon detection between technical replicates is highly variable when the coverage is less than 5 reads per nucleotide and estimates of gene expression are more likely to disagree when coverage is low. Although large disagreements in the estimates of expression are observed at all levels of coverage. Conclusions Technical variability is too high to ignore. Technical variability results in inconsistent detection of exons at low levels of coverage. Further, the estimate of the relative abundance of a transcript can substantially disagree, even when coverage levels are high. This may be due to the low sampling fraction and if so, it will persist as an issue needing to be addressed in experimental design even as the next wave of technology produces larger numbers of reads. We provide practical recommendations for dealing with the technical variability, without dramatic cost increases.