3 research outputs found

    Academic parenthood in the United Arab Emirates in the time of COVID-19

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    Since the onset of the global COVID-19 pandemic, early research already indicates that the personal and professional impact on academics juggling parenting responsibilities with their academic work has been immense. This study, set in the United Arab Emirates, explores the experiences of academic parents and looks at ways in which various aspects of their professional lives have been affected by the pandemic. Survey data from 93 participant parents indicated that certain elements of research productivity have been reduced during the pandemic, and having to support children with online schoolwork while teaching online themselves has been particularly stressful. Working from home with no dedicated space was a frequent challenge for the academic parents, and this impacted their ability to perform research tasks that demanded quiet spaces, e.g., reading and writing. However, the data also indicated that parents appreciated greater working flexibility, a reduction in commuting time, and being able to be more involved in their family lives. Some indications were perhaps unexpected, such as no statistically significant impact being observed on academic parents’ ability to interact with students or peers at their institutions while working from home. The implications of these findings to faculty and institutions are discussed

    Investigating the evolution of undergraduate medical students' perception and performance in relation to an innovative curriculum-based research module: A convergent mixed methods study launching the 8A-Model.

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    BackgroundEmbedding into undergraduate medical programs experiential research curricula, based on holistic theories of education which emphasize participation in the social world, remains uncommon. The purpose of this study was to investigate the journey of undergraduate medical students in relation to an innovative compulsory curriculum-based research module, which has a prominent experiential learning component.MethodsA convergent mixed methods study design was adapted to develop a systemic understanding of the experience of the undergraduate medical students throughout the respective research module. As such, the students' perception of the experience was qualitatively explored using thematic analysis (n = 15). In parallel, the students' performance data were quantitatively analyzed using multi-repeated ANOVA (n = 158). The findings from both types of analyses (i.e., qualitative and quantitative study components) were then mapped onto each using joint display analysis.FindingsThe exploration generated four themes that correspond to sequential steps that the students go through to effectively integrate the scientific research method. These themes include: 1- Attend-Acquire, 2- Accumulate-Assimilate, 3- Apply-Appreciate, and 4-Articulate-Affect. Quantitatively, two distinct clusters of mean Grade Point Average were revealed (pConclusionThe evidence-driven 8A-Model, generated by this study, highlights that medical students' understanding of the true value of research seems to increase as they progress in the module. They begin expressing appreciation of the significance of the experience when they start implementing what they are learning as part of their own research studies. It is recommended for such a research module, with a firm experiential learning component, to be integral to undergraduate medical programs. This is expected to improve the future physicians' research competences, and in turn add value in terms of quality of care and patient outcomes

    Long-Read Sequencing Improves the Detection of Structural Variations Impacting Complex Non-Coding Elements of the Genome

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    The advent of long-read sequencing offers a new assessment method of detecting genomic structural variation (SV) in numerous rare genetic diseases. For autism spectrum disorders (ASD) cases where pathogenic variants fail to be found in the protein-coding genic regions along chromosomes, we proposed a scalable workflow to characterize the risk factor of SVs impacting non-coding elements of the genome. We applied whole-genome sequencing on an Emirati family having three children with ASD using long and short-read sequencing technology. A series of analytical pipelines were established to identify a set of SVs with high sensitivity and specificity. At 15-fold coverage, we observed that long-read sequencing technology (987 variants) detected a significantly higher number of SVs when compared to variants detected using short-read technology (509 variants) (p-value < 1.1020 × 10−57). Further comparison showed 97.9% of long-read sequencing variants were spanning within the 1–100 kb size range (p-value < 9.080 × 10−67) and impacting over 5000 genes. Moreover, long-read variants detected 604 non-coding RNAs (p-value < 9.02 × 10−9), comprising 58% microRNA, 31.9% lncRNA, and 9.1% snoRNA. Even at low coverage, long-read sequencing has shown to be a reliable technology in detecting SVs impacting complex elements of the genome
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