3 research outputs found

    Anthropometric parameters and aesthetics in the making of fixed prosthodontic restaurations: Part 2

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    Introduction: The role of aesthetic dentistry in the field of fixed dental prosthetics is to redesign the smile, which means not only the treatment on the teeth, but also the treatment of the surrounding soft tissues. Successful therapy can be achieved by establishing the harmony between the static (teeth, gingiva) and dynamic factors (lips, cheeks, mimic muscles) at rest and when performing various functions of the orofacial system. The aim: of the study was to analyze the parameters of the oral soft tissues (gingival health, gingival height, gingival zeniths, lip line and symmetry and balance of the dentition) that affect the aesthetics of fixed prosthodontic restorations. Literature data and clinical experience were used. Conclusion: Adherence to the described parameters is of great importance in the development of aesthetic and functional fixed prosthetic restoration

    Comparison of the morphological parameters of the face in a population with a full dental arch

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    Introduction: The analysis of facial parameters in young people with a full dental arch is an assessment of the representation of certain anthropological features in the Serbian geographical area, but also a starting point for their reconstruction after tooth loss in order to achieve the maximum therapeutic and aesthetic effect. Aim: The aim of the work was to measure and compare facial parameters among respondents with a complete dental arch. Material and methods: 91 dental students participated in the research, 32 (35.2%) male and 59 (64.8%) female. The average age of the respondents was 22.16±1.53 years. The length and width of the face were measured, as well as the vertical and horizontal parameters, and the facial index was calculated. Results: Men had a significantly longer (Z=4.567; p<0.001) and wider face (Z=5.962; p<0.001) compared to women. There was no significant difference in the face index between women and men (ch 2 =2.492; p=0.666). There was also no significant difference in the vertical analysis of the face according to gender (ch 2 =0.065; p=0.798). In the majority of subjects, the shorter middle third of the face was measured. In the case of the expected division of the lower third of the face, it exists in a significantly greater extent in males (ch 2 =5.989; p=0.014). In the majority of subjects, the intercanthal width corresponded to the width of the eye, in both sexes, without statistical significance. Further, in a significantly larger number of male and female respondents, it was determined that the bipupillary corresponds to the intercommissural distance. The interalar distance corresponding to the width of the eye was more significantly present in women (ch 2 =5.002; p=0.025). Conclusion: Measurement of facial parameters can significantly improve dental therapy by enabling optimal aesthetic performance

    TRY plant trait database – enhanced coverage and open access

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    Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives
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