Assessment of case-based integrated learning as a part of dental curriculum reform

There has been a growing call for change in the management of dental education programs, and, in response to this call, the faculty and staff at the University of the Pacific Arthur A. Dugoni School of Dentistry developed the Pacific Dental Helix Curriculum management model. The first major component of this curriculum was the development of the Integrated Clinical Science Strand of the Helix focused on multidisciplinary and case-based andragogies. The mixed method research design was used to identify common aspects of Case-Based Learning and multi-disciplinary teaching through a qualitative analysis of curricular materials and to analyze their impact on selected student outcomes of pre and post-change through statistical analysis. The outcomes chosen for the quantitative portion were surrogate measures of National Board Scores and grade point averages to represent knowledge and skills. The overall analysis of the quantitative data shows negligible impact on the outcomes being measured. We know from the literature that active learning models motivate and engage students at a higher level in their learning and better prepare them to solve problems creatively versus a traditional educational model, so it is significant to see that there were no decreases in performance with a move to a more engaging curriculum. This study offers foundational information for future curriculum design, pedagogy, and assessment

Developing the Next Generation of Leaders in Oral Health

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153770/1/jddj0022033720137711tb05627x.pd

A Curricular Reform Viewed Through Bolman and Deal’s Organizational Frames

Professions exist to serve the needs of society, communities and, in the case of the dental profession, patients. Academic dental institutions strive to help meet these needs by educating and developing future practitioners, educators, researchers, and citizen leaders who serve the community and shape the changing environment in which they practice and provide care. The American Dental Association Commission on Change and Innovation affirms, “If dental educators are to meet these purposes, change and innovation in dental education must be responsive to evolving societal needs, practice patterns, scientific developments, and economic conditions”(Haden, et al., 2006). Guiding any institution through such authentic reform requires a number of strategies. Lee Bolman and Terrance Deal suggest four organizational constructs, or frames, through which to view a complex organization: Structural, Human Resource, Political and Symbolic (Bolman and Deal, 1997).“Like maps, frames are both windows on a territory and tools for navigation” (Bolman and Deal, 1997). This reflective case study examines a major curricular reform initiative in a North American school of dentistry through Bolman and Deal’s organizational frames

Intra-oral anatomy training device

Disclosed herein are typodont models and dental mannequins that provide a highly accurate representation of the human or non-human animal oral anatomy. The model embodiments disclosed herein provide life-like materials and various features of the oral cavity not found in typical typodont models. Additionally, the typodont models disclosed herein simulate many challenging conditions that arise in dental procedures when performed on live subjects such as, for example, clouding of instruments including mirrors used to view the interior portion of the oral cavity, oral fluid interfering with the work area, and other real-life interferences and complications. The ability to mimic the oral cavity with as much accuracy as possible is beneficial to the dental field for both practitioners as well as patients

Representative transcript sets for evaluating a translational initiation sites predictor

<p>Abstract</p> <p>Background</p> <p>Translational initiation site (TIS) prediction is a very important and actively studied topic in bioinformatics. In order to complete a comparative analysis, it is desirable to have several benchmark data sets which can be used to test the effectiveness of different algorithms. An ideal benchmark data set should be reliable, representative and readily available. Preferably, proteins encoded by members of the data set should also be representative of the protein population actually expressed in cellular specimens.</p> <p>Results</p> <p>In this paper, we report a general algorithm for constructing a reliable sequence collection that only includes mRNA sequences whose corresponding protein products present an average profile of the general protein population of a given organism, with respect to three major structural parameters. Four representative transcript collections, each derived from a model organism, have been obtained following the algorithm we propose. Evaluation of these data sets shows that they are reasonable representations of the spectrum of proteins obtained from cellular proteomic studies. Six state-of-the-art predictors have been used to test the usefulness of the construction algorithm that we proposed. Comparative study which reports the predictors' performance on our data set as well as three other existing benchmark collections has demonstrated the actual merits of our data sets as benchmark testing collections.</p> <p>Conclusion</p> <p>The proposed data set construction algorithm has demonstrated its property of being a general and widely applicable scheme. Our comparison with published proteomic studies has shown that the expression of our data set of transcripts generates a polypeptide population that is representative of that obtained from evaluation of biological specimens. Our data set thus represents "real world" transcripts that will allow more accurate evaluation of algorithms dedicated to identification of TISs, as well as other translational regulatory motifs within mRNA sequences. The algorithm proposed by us aims at compiling a redundancy-free data set by removing redundant copies of homologous proteins. The existence of such data sets may be useful for conducting statistical analyses of protein sequence-structure relations. At the current stage, our approach's focus is to obtain an "average" protein data set for any particular organism without posing much selection bias. However, with the three major protein structural parameters deeply integrated into the scheme, it would be a trivial task to extend the current method for obtaining a more selective protein data set, which may facilitate the study of some particular protein structure.</p

TISs-ST: a web server to evaluate polymorphic translation initiation sites and their reflections on the secretory targets

<p>Abstract</p> <p>Background</p> <p>The nucleotide sequence flanking the translation initiation codon (start codon context) affects the translational efficiency of eukaryotic mRNAs, and may indicate the presence of an alternative translation initiation site (TIS) to produce proteins with different properties. Multi-targeting may reflect the translational variability of these other protein forms. In this paper we present a web server that performs computations to investigate the usage of alternative translation initiation sites for the synthesis of new protein variants that might have different functions.</p> <p>Results</p> <p>An efficient web-based tool entitled TISs-ST (Translation Initiation Sites and Secretory Targets) evaluates putative translation initiation sites and indicates the prediction of a signal peptide of the protein encoded from this site. The TISs-ST web server is freely available to both academic and commercial users and can be accessed at <url>http://ipe.cbmeg.unicamp.br/pub/TISs-ST</url>.</p> <p>Conclusion</p> <p>The program can be used to evaluate alternative translation initiation site consensus with user-specified sequences, based on their composition or on many position weight matrix models. TISs-ST provides analytical and visualization tools for evaluating the periodic frequency, the consensus pattern and the total information content of a sequence data set. A search option allows for the identification of signal peptides from predicted proteins using the PrediSi software.</p

MetWAMer: eukaryotic translation initiation site prediction

<p>Abstract</p> <p>Background</p> <p>Translation initiation site (TIS) identification is an important aspect of the gene annotation process, requisite for the accurate delineation of protein sequences from transcript data. We have developed the MetWAMer package for TIS prediction in eukaryotic open reading frames of non-viral origin. MetWAMer can be used as a stand-alone, third-party tool for post-processing gene structure annotations generated by external computational programs and/or pipelines, or directly integrated into gene structure prediction software implementations.</p> <p>Results</p> <p>MetWAMer currently implements five distinct methods for TIS prediction, the most accurate of which is a routine that combines weighted, signal-based translation initiation site scores and the contrast in coding potential of sequences flanking TISs using a perceptron. Also, our program implements clustering capabilities through use of the <it>k</it>-medoids algorithm, thereby enabling cluster-specific TIS parameter utilization. In practice, our static weight array matrix-based indexing method for parameter set lookup can be used with good results in data sets exhibiting moderate levels of 5'-complete coverage.</p> <p>Conclusion</p> <p>We demonstrate that improvements in statistically-based models for TIS prediction can be achieved by taking the class of each potential start-methionine into account pending certain testing conditions, and that our perceptron-based model is suitable for the TIS identification task. MetWAMer represents a well-documented, extensible, and freely available software system that can be readily re-trained for differing target applications and/or extended with existing and novel TIS prediction methods, to support further research efforts in this area.</p