Characterizing domain-specific open educational resources by linking ISCB Communities of Special Interest to Wikipedia

Wikipedia is one of the most important channels for the public communication of science and is frequently accessed as an educational resource in computational biology. Joint efforts between the International Society for Computational Biology (ISCB) and the Computational Biology taskforce of WikiProject Molecular Biology (a group of expert Wikipedia editors) have considerably improved computational biology representation on Wikipedia in recent years. However, there is still an urgent need for further improvement in quality, especially when compared to related scientific fields such as genetics and medicine. Facilitating involvement of members from ISCB Communities of Special Interest (COSIs) would improve a vital open education resource in computational biology, additionally allowing COSIs to provide a quality educational resource highly specific to their subfield.We generate a list of around 1500 English Wikipedia articles relating to computational biology and describe the development of a binary COSI-Article matrix, linking COSIs to relevant articles and thereby defining domain-specific open educational resources. Our analysis of the COSI-Article matrix data provides a quantitative assessment of computational biology representation on Wikipedia against other fields and at a COSI-specific level. Furthermore, we conducted similarity analysis and subsequent clustering of COSI-Article data to provide insight into potential relationships between COSIs. Finally, based on our analysis, we suggest courses of action to improve the quality of computational biology representation on Wikipedia

Abortion care in women with underlying medical conditions: The role of multidisciplinary team approach in increasing safety of abortion procedures

Abstract Background There are no clear data driving most clinical recommendations for abortion care in women with underlying medical conditions, such as cardiac disease. Current abortion practice in such women is based on limited retrospective studies, mainly case reports and case series. In our institution (a tertiary center in Ethiopia), we practice a multidisciplinary team approach to abortion care for patients with medical conditions. Objective Describe the value of a multidisciplinary team approach in abortion care in patients with underlying medical conditions. Methods This is a retrospective descriptive analysis of abortion care in women with underlying medical conditions (cardiac and noncardiac medical conditions) over a 5‐year period (November 2016–October 2021) at St. Paul's Hospital Millennium Medical College, in Ethiopia. Data were extracted by reviewing patients’ medical records using a structured questionnaire. Simple descriptive statistics were applied for analysis using SPSS version 23. Results are presented as frequencies and percentages. Results Fifteen induced abortion cases in women with underlying medical conditions were analyzed, out of which 11 were in women who were critically ill. The median gestational age was 20 weeks. Ten subjects, 10/15 (66.7%), had a cardiac condition, whereas the rest 5/15 (33.3%) were noncardiac cases. Ten out of the 11 critically ill patients were managed under multidisciplinary team approach, and there were no complications encountered. Out of these, 7/10 (70%) received medication abortion care between 19 and 25 weeks gestation, including 5 cardiac patients with New York Heart Association‐III and IV conditions. Conclusion In this study, more than three quarters of women with medical conditions who had abortion care were critically ill, and almost all of them were managed with a multidisciplinary team approach. None of the patients suffered a deterioration of their medical conditions, demonstrating the utility of incorporating a multidisciplinary team approach during abortion care for such cases

The use of augmented reality to raise awareness of the differences between osteoarthritis and rheumatoid arthritis

Arthritis is one of the most common disease states worldwide but is still publicly misunderstood and lacks engaging public awareness materials. Within the UK, the most prevalent types of arthritis are osteoarthritis (OA) and rheumatoid arthritis (RA). The two are commonly mistaken as the same disease but, in fact, have very different pathogenesis, symptoms and treatments. This chapter describes a study which aimed to assess whether an augmented reality (AR) application could be used to raise awareness about the difference between OA and RA.An application was created for Android tablets that included labelled 3D models, animations and AR scenes triggered from a poster. In total 11 adult participants tested the application taking part in a pretest and posttest which aim to measure the usability of the application and the acquisition of knowledge on OA and RA. A T-test was performed to assess the effectiveness of the application from the pretest and posttest questionnaire outcomes. Overall results were encouraging reporting a very significant acquisition of knowledge and a highly satisfactory user experience

The Use of Augmented Reality to Raise Awareness of the Differences Between Osteoarthritis and Rheumatoid Arthritis

Arthritis is one of the most common disease states worldwide but is still publicly misunderstood and lacks engaging public awareness materials. Within the UK, the most prevalent types of arthritis are osteoarthritis (OA) and rheumatoid arthritis (RA). The two are commonly mistaken as the same disease but, in fact, have very different pathogenesis, symptoms and treatments. This chapter describes a study which aimed to assess whether an augmented reality (AR) application could be used to raise awareness about the difference between OA and RA. An application was created for Android tablets that included labelled 3D models, animations and AR scenes triggered from a poster. In total 11 adult participants tested the application taking part in a pretest and posttest which aim to measure the usability of the application and the acquisition of knowledge on OA and RA. A T-test was performed to assess the effectiveness of the application from the pretest and posttest questionnaire outcomes. Overall results were encouraging reporting a very significant acquisition of knowledge and a highly satisfactory user experience