Contextual Coding in Qualitative Research Involving Participants with Diverse Sociocultural Backgrounds

Understanding participants' perspectives in qualitative research is contingent on unravelling the essential meaning of their speech. When data are collected in native language and translated into English language, the underlying sociocultural meaning of participants' speech can be missed. This paper discusses a new contextual coding approach and illustrates its application in research. The technique was used in a phenomenological study in Pakistan and a mixed methods study in Europe. Contextual coding entails a preliminary coding stage involving data reading in native language, choosing socially and culturally relevant words and phrases, and developing preliminary codes. The concluding coding stage focuses on creating a sociocultural query list, seeking answers through discussions among multilingual individuals, and finding a common language for code description. Contextual coding can enable researchers to understand sociocultural meaning of their data at an early stage, rather than waiting at the later stage of theme development to contextualize the findings

Strategic negotiation and trust in diplomacy - the DipBlue approach

The study of games in Artificial Intelligence has a long tradition. Game playing has been a fertile environment for the development of novel approaches to build intelligent programs. Multi-agent systems (MAS), in particular, are a very useful paradigm in this regard, not only because multi-player games can be addressed using this technology, but most importantly because social aspects of agenthood that have been studied for years by MAS researchers can be applied in the attractive and controlled scenarios that games convey. Diplomacy is a multi-player strategic zero-sum board game, including as main research challenges an enormous search tree, the difficulty of determining the real strength of a position, and the accommodation of negotiation among players. Negotiation abilities bring along other social aspects, such as the need to perform trust reasoning in order to win the game. The majority of existing artificial players (bots) for Diplomacy do not exploit the strategic opportunities enabled by negotiation, focusing instead on search and heuristic approaches. This paper describes the development of DipBlue, an artificial player that uses negotiation in order to gain advantage over its opponents, through the use of peace treaties, formation of alliances and suggestion of actions to allies. A simple trust assessment approach is used as a means to detect and react to potential betrayals by allied players. DipBlue was built to work with DipGame, a MAS testbed for Diplomacy, and has been tested with other players of the same platform and variations of itself. Experimental results show that the use of negotiation increases the performance of bots involved in alliances, when full trust is assumed. In the presence of betrayals, being able to perform trust reasoning is an effective approach to reduce their impact. © Springer-Verlag Berlin Heidelberg 2015

Transcriptomic differences in MSA clinical variants

Background: Multiple system atrophy (MSA) is a rare oligodendroglial synucleinopathy of unknown etiopathogenesis including two major clinical variants with predominant parkinsonism (MSA-P) or cerebellar dysfunction (MSA-C). Objective: To identify novel disease mechanisms we performed a blood transcriptomic study investigating differential gene expression changes and biological process alterations in MSA and its clinical subtypes. Methods: We compared the transcriptome from rigorously gender and age-balanced groups of 10 probable MSA-P, 10 probable MSA-C cases, 10 controls from the Catalan MSA Registry (CMSAR), and 10 Parkinson Disease (PD) patients. Results: Gene set enrichment analyses showed prominent positive enrichment in processes related to immunity and inflammation in all groups, and a negative enrichment in cell differentiation and development of the nervous system in both MSA-P and PD, in contrast to protein translation and processing in MSA-C. Gene set enrichment analysis using expression patterns in different brain regions as a reference also showed distinct results between the different synucleinopathies. Conclusions: In line with the two major phenotypes described in the clinic, our data suggest that gene expression and biological processes might be differentially affected in MSA-P and MSA-C. Future studies using larger sample sizes are warranted to confirm these results

Biological versus chronological ovarian age:implications for assisted reproductive technology

<p>Abstract</p> <p>Background</p> <p>Women have been able to delay childbearing since effective contraception became available in the 1960s. However, fertility decreases with increasing maternal age. A slow but steady decrease in fertility is observed in women aged between 30 and 35 years, which is followed by an accelerated decline among women aged over 35 years. A combination of delayed childbearing and reduced fecundity with increasing age has resulted in an increased number and proportion of women of greater than or equal to 35 years of age seeking assisted reproductive technology (ART) treatment.</p> <p>Methods</p> <p>Literature searches supplemented with the authors' knowledge.</p> <p>Results</p> <p>Despite major advances in medical technology, there is currently no ART treatment strategy that can fully compensate for the natural decline in fertility with increasing female age. Although chronological age is the most important predictor of ovarian response to follicle-stimulating hormone, the rate of reproductive ageing and ovarian sensitivity to gonadotrophins varies considerably among individuals. Both environmental and genetic factors contribute to depletion of the ovarian oocyte pool and reduction in oocyte quality. Thus, biological and chronological ovarian age are not always equivalent. Furthermore, biological age is more important than chronological age in predicting the outcome of ART. As older patients present increasingly for ART treatment, it will become more important to critically assess prognosis, counsel appropriately and optimize treatment strategies. Several genetic markers and biomarkers (such as anti-Müllerian hormone and the antral follicle count) are emerging that can identify women with accelerated biological ovarian ageing. Potential strategies for improving ovarian response include the use of luteinizing hormone (LH) and growth hormone (GH). When endogenous LH levels are heavily suppressed by gonadotrophin-releasing hormone analogues, LH supplementation may help to optimize treatment outcomes for women with biologically older ovaries. Exogenous GH may improve oocyte development and counteract the age-related decline of oocyte quality. The effects of GH may be mediated by insulin-like growth factor-I, which works synergistically with follicle-stimulating hormone on granulosa and theca cells.</p> <p>Conclusion</p> <p>Patients with biologically older ovaries may benefit from a tailored approach based on individual patient characteristics. Among the most promising adjuvant therapies for improving ART outcomes in women of advanced reproductive age are the administration of exogenous LH or GH.</p

Supplier performance in a digital ecosystem

Autonomous entities in a digital ecosystem are expected to interact, negotiate and make agreements. The work introduced in this paper focuses on how these autonomous entities evaluate and rank the other participants in the digital ecosystem using past experiences. These past experiences allow agents to learn a probabilistic model of the behaviour of the others. We introduce a trust measure based on this probabilistic model of behaviour and a software tool that helps in the decision making process of how to choose the right partner for our next agreemeent. ©2009 IEEE

Approaches for educators to effectively teach research and research methods

Research and research methods courses are an integral part of undergraduate and graduate curricula across science, technology, engineering and mathematics (STEM) and non-STEM disciplines. However, research methods courses can be daunting and challenging for students because of the complex content and the students' perceived fears of mastering practical skills and apply the learnt content in practice.1 2 Many students also find research methods content dreary, uninteresting, anxiety-provoking and irrelevant.3 4 Educators also encounter challenges in effectively teaching research methods due to diversity in methodological content, fragmented expertise, lack of consistent curricula, unavailability of resources to support research teaching and linguistic difficulties in understanding jargon-laden research language.5 6 In this paper, we outline some strategies that can be valuable for educators to effectively teach research and research methods at both undergraduate and graduate levels

Providing English and native language quotes in qualitative research: A call to action

Background: When publishing qualitative research in international journals, researchers studying non-English-speaking participants provide quotes in English language. This is an issue of increasing concern given the need to be rigorous to represent a diversity of participants within their context, beyond how language (alone) situates them. Aim: To argue for providing English and native language quotes in qualitative research reports. Design: Discussion. Methods: This paper is based on the literature on use of quotes and translation in qualitative research and authors’ experiences of publishing qualitative research. Results: Provision of native and English language quotes may allow for greater transparency of findings, thereby reflecting that the researchers adequately captured the socially and culturally dependent experiences of participants. Conclusions: Presentation of findings with eloquent quotes serves as the gateway into the sociocultural experiences of individuals. We argued against the norm of providing translated quotes in qualitative reports and build a case for the provision of native as well as English language quotes to promote cross-cultural understanding

Contextual Coding in Qualitative Research Involving Participants with Diverse Sociocultural Backgrounds

Understanding participants’ perspectives in qualitative research is contingent on unravelling the essential meaning of their speech. When data are collected in native language and translated into English language, the underlying sociocultural meaning of participants’ speech can be missed. This paper discusses a new contextual coding approach and illustrates its application in research. The technique was used in a phenomenological study in Pakistan and a mixed methods study in Europe. Contextual coding entails a preliminary coding stage involving data reading in native language, choosing socially and culturally relevant words and phrases, and developing preliminary codes. The concluding coding stage focuses on creating a sociocultural query list, seeking answers through discussions among multilingual individuals, and finding a common language for code description. Contextual coding can enable researchers to understand sociocultural meaning of their data at an early stage, rather than waiting at the later stage of theme development to contextualize the findings