ABSTRACT
Background: Users of YouTube videos face considerable difficulty in handling the rapidly growing uploaded material. Videos can fall into various genres, and a single video can possess a number of characteristics. Rationale- Customized selection of the most appropriate videos for learning, teaching or research is hard to achieve. Appropriate tagging of videos for different characteristics by the uploaders for helping audience in their selection warrant meticulously designed structured format for categorizing the videos based on multiple characteristics. But no complete structured format is available for such categorization. Material & Methods: A cross-sectional analysis of 120 YouTube medical educational videos on Embryology selected through a multiphase systematic method using search terms chosen from selected focus areas of Embryology was done. This was aimed at identifying video characteristics of four functional natures: basic, academic, technical and esthetic. Using the ‘identified’ and related ‘identifiable’ characteristics, a “Proposed categorization format” was developed. Feedback on this document was obtained from five stakeholder groups i.e., anatomists, medical educationists, medical video creators, film/video/graphics experts and postgraduate students of Anatomy through a multiple-group discussion session. Results: Consensuses built on their opinions and lone voices were incorporated to develop the “Final version” of the format that possesses 38 Broad Characteristics, 179 Options, 59 Suboptions and fourteen Sub-suboptions. Conclusion: This format should be helpful in establishing a comprehensive database of medical educational videos on Embryology and with slight customization, on other anatomical subdivisions and other disciplines. But before that validation of the format by putting them into use should be justified.
ABSTRACT
Introduction: Craniofacial anthropometry can be useful forforensic scientist, physical anthropologist, genetic counsellorsas well as reconstructive surgery for the purposes ofidentification of an individuals and understanding humanphysical variation, gender and ethnicity especially with facialrecognition as a tool in recent advances in biometrics. Statureis one of the important criteria for personal identification whichhave a proportional biological relationship with every parts ofthe human body like head, face, trunk, extremities andvertebral column.Objective: In this study our main goal is to measure theselected linear craniofacial measurements from head and faceregion and the stature using the direct physical procedure.Materials and Methods: This cross-sectional study wascarried out in 100 healthy adult males from March 2017 toFebruary 2018 in the Department of Anatomy, BangabandhuSheikh Mujib Medical University (BSMMU), Dhaka. Descriptivestatistics and testing of hypotheses were used for the analysisusing SPSS software (version 22.0).Results: Here positive correlations of the stature with themaximum cranial length, maximum cranial breadth,morphological face height, maximum facial breadth, butsignificant positive correlations of the stature with the maximumcranial breadth, maximum facial breadth, was found. The Mean(±SD) of Maximum cranial length (g-op) was 17.73 (±0.74),Maximum cranial breadth (eu-eu) was 14.27 (±0.75),Morphological face height (n-gn) was 11.15 (±0.86) andMaximum facial breadth (zy-zy) was 12.56 (±0.59).Conclusion: This study will be anticipated to provide baselinequantitative data on the linear craniofacial measurements andthe stature of adult Bangladeshi Manipuri males and usinglarger samples with non-contact measurement technique willhelp in defining craniofacial anthropometric profiling of the adultBangladeshi Manipuri males.