Metacuration Standards and Minimum Information about a Bioinformatics Investigation

Many bioinformatics databases published in journals are here this year and gone the next. There is generally (i) no requirement, mandatory or otherwise, by reviewers, editors or publishers for full disclosure of how databases are built and how they are maintained; (ii) no standardized requirement for data in public access databases to be kept as backup for release and access when a project ends, when funds expire and website terminates; (iii) the case of proprietary resources, there is no requirement for data to be kept in escrow for release under stated conditions such as when a published database disappears due to company closure. Consequently, much of the biological databases published in the past twenty years are easily lost, even though the publications describing or referencing these databases and webservices remain. Given the volume of publications today, even though it is practically possible for reviewers to re-create databases as described in a manuscript, there is usually insufficient disclosure and raw data for this to be done, even if there is sufficient time and resources available to perform this. Consequently, verification and validation is assumed, and claims of the paper accepted as true and correct at face value. A solution to this growing problem is to experiment with some kind of minimum standards of reporting such as the Minimum Information About a Bioinformatics Investigation (MIABi) and standardized requirements of data deposition and escrow for enabling persistence and reproducibility. With easy availability of cloud computing, such a level of reproducibility can become a reality in the near term. Through standards in meta-curation and minimum standards of reporting that uphold the tenets of scientific reproducibility, verifiability, sustainability and continuity of data resources, the knowledge preserved will underpin tomorrow's scientific research. Other issues include disambiguation of authors or database names, and unique identifiers to support non-repudiability, possibly in multiple languages. The International Conference on Bioinformatics and its publications are now in the process of making attempts at addressing these issues and this presentation will highlight some of the current efforts

Enhancing teaching and learning of evidence-based practice via game-based learning

Introduction: The Singapore Institute of Technology-University of Glasgow (SIT-UofG) Nursing Programme has traditionally taken a didactic teaching approach in the delivery of the Evidence-Based Practice (EBP) module. A hybrid approach was introduced using Game-Based Learning (GBL) to encourage active learning through gameplay. Methods: A Randomised Controlled Trial (RCT) was undertaken encompassing a cohort of 100 Nursing students taking the EBP module in their first year at the Singapore Institute of Technology (SIT) in the 2021/22 academic year. The experimental group (n=27) worked through the online GBL intervention and the EBP module, while the control group (n=27) took the EBP module alone. The GBL included five Learning Quests and three case studies. Results: High levels of satisfaction were reported by both the experimental group (n=22) and the control group (n=15) on the traditional content and delivery of the EBP module. High levels of engagement were reported by the experimental group on the GBL intervention; a one-sample statistics analysis confirming a significant level of engagement (p<0.001). A Mann-Whitney U Test, however, found no significant difference in the Continuous Assessment (CA) scores of the two groups (p=0.507 and 0.461). Conclusion: The introduction of GBL designed to deliver educational content directly associated with the learning outcomes increased the nursing student engagement in the EBP module. These findings and discoveries can be utilised to improve the GBL intervention to the EBP module to have a more positive impact the student CA scores and therefore on student learning

I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences

The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which the I4U submission was among the best-performing systems. SRE'18 also marks the 10-year anniversary of I4U consortium into NIST SRE series of evaluation. The primary objective of the current paper is to summarize the results and lessons learned based on the twelve sub-systems and their fusion submitted to SRE'18. It is also our intention to present a shared view on the advancements, progresses, and major paradigm shifts that we have witnessed as an SRE participant in the past decade from SRE'08 to SRE'18. In this regard, we have seen, among others, a paradigm shift from supervector representation to deep speaker embedding, and a switch of research challenge from channel compensation to domain adaptation.Comment: 5 page

Study Protocol for a Randomized Controlled Trial of Choral Singing Intervention to Prevent Cognitive Decline in At-Risk Older Adults Living in the Community

Introduction: This study is a parallel-arm randomized controlled trial evaluating choral singing’s efficacy and underlying mechanisms in preventing cognitive decline in at-risk older participants.Methods: Three-hundred and sixty community-dwelling, non-demented older participants are recruited for a 2-year intervention. Inclusion criteria are self-reported cognitive complaints, early cognitive impairment based on neuropsychological test scores or multiple risk factors of dementia. Participants are randomized to either weekly choral singing sessions or general health education. The primary outcome is cognitive performance, measured by a composite cognitive test score (CCTS). Secondary outcomes include depression, anxiety and neuropsychiatric symptoms; perceived stress; sleep quality and severity of dementia symptoms. Underlying mechanisms are examined using blood- and urine-based biomarkers and neuroimaging.Results: Screening began in July 2016. The first group of participants (n = 93) have been recruited. Intervention and control treatments are ongoing and will end in December 2019.Discussion: An evidence-based singing intervention for dementia prevention holds potential for healthcare savings and societal welfare.Trial Registration: NCT02919748, IRB Approval Number: NUS 2508

I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences

The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which the I4U submission was among the best-performing systems. SRE'18 also marks the 10-year anniversary of I4U consortium into NIST SRE series of evaluation. The primary objective of the current paper is to summarize the results and lessons learned based on the twelve subsystems and their fusion submitted to SRE'18. It is also our intention to present a shared view on the advancements, progresses, and major paradigm shifts that we have witnessed as an SRE participant in the past decade from SRE'08 to SRE'18. In this regard, we have seen, among others , a paradigm shift from supervector representation to deep speaker embedding, and a switch of research challenge from channel compensation to domain adaptation

I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences

International audienceThe I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which the I4U submission was among the best-performing systems. SRE'18 also marks the 10-year anniversary of I4U consortium into NIST SRE series of evaluation. The primary objective of the current paper is to summarize the results and lessons learned based on the twelve subsystems and their fusion submitted to SRE'18. It is also our intention to present a shared view on the advancements, progresses, and major paradigm shifts that we have witnessed as an SRE participant in the past decade from SRE'08 to SRE'18. In this regard, we have seen, among others , a paradigm shift from supervector representation to deep speaker embedding, and a switch of research challenge from channel compensation to domain adaptation