Cultural difference in attitudes towards stuttering among British, Arab and Chinese students: considering home and host cultures

Background Geographical and cultural differences have been shown to affect public attitudes towards stuttering. However, increasingly for many individuals in the world one's birthplace culture (or home culture) and culture in their local geographical environment (or host culture) are not the same. Aims The effects of home culture and host culture in shaping the attitudes towards stuttering among students with British, Arab and Chinese home cultures attending one British university were explored. The effects of host culture were investigated by considering the time lived in the UK for Arab and Chinese students. Methods & Procedures The study used a descriptive survey design that included a standardized self‐delivered questionnaire: the Public Opinion Survey of Human Attributes—Stuttering (POSHA‐S). Purposive sampling was carried out thorough volunteer mailing lists, student societies and personal contact. The final sample of 156 university students included 51 British, 52 Arab and 53 Chinese students. Outcomes & Results Overall stuttering score (OSS), which is indicative of attitudes towards stuttering, was highest for British participants (mean = 30) and lowest for Chinese participants (mean = 13), with Arab participants falling in the middle (mean = 21). The differences in attitudes between the three groups were statistically significant, suggesting that home culture is a contributor to attitudes towards stuttering. A post‐hoc item analysis of the POSHA‐S revealed numerous specific differences in attitudes towards stuttering between the three groups, including differences in the attribution of the aetiology of stuttering, their role in helping people who stutter (PWS) and sympathy toward PWS. Time lived in the UK—a proxy measure for the role of host culture—did not significantly influence the attitudes of Arab and Chinese respondents. Conclusions & Implications To varying degrees, all three groups had evidence of stereotypical stuttering attitudes. Nevertheless, given similar ages and student status in the same university, observed respondent differences confirm previous research documenting geographical influences on stuttering attitudes in Western versus East Asian and Middle Eastern samples. The study also provides evidence that home culture was influential in shaping attitudes towards stuttering, but host culture was not a significant contributor. What this paper adds What is already known on the subject Public stereotypical beliefs towards stuttering are found across the world and hinder the quality of life among PWS. Different cultures have unique stereotypical beliefs towards PWS. What this study adds to existing knowledge To the best of our knowledge, no other study has investigated specifically if individuals who live in the same geographical location but have different home cultures, have similar or differing attitudes towards PWS. Results provide preliminary evidence that the home culture of an individual was influential in shaping attitudes towards PWS, but host culture, measured as the length of time living in the current geographical location, did not have a significant relationship with attitudes towards stuttering. What are the potential or actual clinical implications of this work This study highlights that culturally sensitive clinical practice should not be based on just the culture of the region but should take home culture into consideration as well, and clinicians should discuss cultural perceptions of stuttering with clients in clinical practice

ResponseNet: revealing signaling and regulatory networks linking genetic transcriptomic screening data

Cellular response to stimuli is typically complex and involves both regulatory and metabolic processes. Large-scale experimental efforts to identify components of these processes often comprise of genetic screening and transcriptomic profiling assays. We previously established that in yeast genetic screens tend to identify response regulators, while transcriptomic profiling assays tend to identify components of metabolic processes. ResponseNet is a network-optimization approach that integrates the results from these assays with data of known molecular interactions. Specifically, ResponseNet identifies a high-probability sub-network, composed of signaling and regulatory molecular interaction paths, through which putative response regulators may lead to the measured transcriptomic changes. Computationally, this is achieved by formulating a minimum-cost flow optimization problem and solving it efficiently using linear programming tools. The ResponseNet web server offers a simple interface for applying ResponseNet. Users can upload weighted lists of proteins and genes and obtain a sparse, weighted, molecular interaction sub-network connecting their data. The predicted sub-network and its gene ontology enrichment analysis are presented graphically or as text. Consequently, the ResponseNet web server enables researchers that were previously limited to separate analysis of their distinct, large-scale experiments, to meaningfully integrate their data and substantially expand their understanding of the underlying cellular response. ResponseNet is available at http://bioinfo.bgu.ac.il/respnet.Seventh Framework Programme (European Commission) (FP7-PEOPLE-MCA-IRG)United States-Israel Binational Science Foundation (Grant 2009323

Simultaneous Reconstruction of Multiple Signaling Pathways via the Prize-Collecting Steiner Forest Problem

Signaling networks are essential for cells to control processes such as growth and response to stimuli. Although many “omic” data sources are available to probe signaling pathways, these data are typically sparse and noisy. Thus, it has been difficult to use these data to discover the cause of the diseases. We overcome these problems and use “omic” data to simultaneously reconstruct multiple pathways that are altered in a particular condition by solving the prize-collecting Steiner forest problem. To evaluate this approach, we use the well-characterized yeast pheromone response. We then apply the method to human glioblastoma data, searching for a forest of trees each of which is rooted in a different cell surface receptor. This approach discovers both overlapping and independent signaling pathways that are enriched in functionally and clinically relevant proteins, which could provide the basis for new therapeutic strategies.National Institutes of Health (U.S.) (NIH grant U54CA112967)National Institutes of Health (U.S.) (NIH grant R01GM089903)Massachusetts Institute of Technology (Eugene Bell Career Development Chair)National Science Foundation (U.S.) (Award No. DB1- 082139)European Research Council (ERC grant OPTINF 267915)European Commission (EC grant STAMINA 265496

Simultaneous Reconstruction of Multiple Signaling Pathways via the Prize-Collecting Steiner Forest Problem

Signaling and regulatory networks are essential for cells to control processes such as growth, differentiation, and response to stimuli. Although many "omic'' data sources are available to probe signaling pathways, these data are typically sparse and noisy. Thus, it has been difficult to use these data to discover the cause of the diseases and to propose new therapeutic strategies. We overcome these problems and use "omic'' data to reconstruct simultaneously multiple pathways that are altered in a particular condition by solving the prize-collecting Steiner forest problem. To evaluate this approach, we use the well-characterized yeast pheromone response. We then apply the method to human glioblastoma data, searching for a forest of trees, each of which is rooted in a different cell-surface receptor. This approach discovers both overlapping and independent signaling pathways that are enriched in functionally and clinically relevant proteins, which could provide the basis for new therapeutic strategies. Although the algorithm was not provided with any information about the phosphorylation status of receptors, it identifies a small set of clinically relevant receptors among hundreds present in the interactome